Category: Nursing

Week 2 Assignment Evidence Summary

Week 2 Assignment

Evidence Summary

 

Directions:
Identify a nursing clinical practice problem in your current or previous practice. Use this template to complete the Evidence Summary Assignment addressing your selected nursing clinical practice problem.

Answer the questions under each section with explanation and detail.

 

Correctly cite and reference information from scholarly sources that help support the discussion. Sources should be no more than five years old unless they are historical references.

 

Section 1: Discovery

 

Describe your selected nursing clinical practice problem. Explain your rationale for choosing this topic and summarize why this nursing clinical practice problem is the most important in your current or past practice area.

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Patient falls in acute care settings is a critical safety concern that leads to injuries, extended hospital stays and increased healthcare costs. Despite existing fall prevention measures, falls continue to occur due to various factors such as patient mobility, medication effects and environmental hazards.

 

Define each PICOT element

 

P- (Population):
Hospitalized adult patients

I- (Intervention):
Hourly nursing rounds

 

C- (Comparison:
Standard care without structured rounding

 

O- (Outcome):
Reduction in patient falls during hospitalization

 

T- (Time frame in months):
Over 3 months

 

 

Write out your PICOT question using the standard format below:

In _____ (P), how does _____ (I) compared to _____ (C) affect _____ (O) within _____ (T)?

NOTE: In this standardized format, “affect” can be substituted with another verb, such as reduce, increase, or improve, to articulate the anticipated outcome more precisely.

 

In hospitalized adult patients (P), does the implementation of hourly nursing rounds (I) compared to standard care without structured rounding (C) reduce the incidence of patient falls during hospitalization (O) over 3 months (T)?

 

 

Describe how you selected the population, intervention, outcome, and time frame.

The population was selected based on the high prevalence of falls in hospitalized adult patients, particularly those with mobility issues or at risk due to medications. The intervention, hourly rounding, was chosen because previous studies have demonstrated its effectiveness in reducing falls by proactively addressing patient needs. The outcome focuses on fall reduction, as it is a key indicator of patient safety. The 3-month timeframe allows for sufficient data collection to assess changes in fall rates.

 

Section 2: Evidence Summary Systematic Review

Using only the Chamberlain University Library, locate one systematic review relevant to your chosen nursing clinical practice problem that supports the intervention and has been published within the past 5 years.

 

Provide the complete APA reference to the evidence, including the permalink. State which database you found the evidence in.

 

https://chamberlain.primo.exlibrisgroup.com/permalink/01CUCON_INST/f6kb8f/cdi_proquest_miscellaneous_1837027025

Mant, T., Dunning, T., & Hutchinson, A. (2012). The clinical effectiveness of hourly rounding on fall-related incidents involving adult patients in an acute care setting: a systematic review. JBI Library of Systematic Reviews, 10(56 Suppl), 1–12. 
https://doi.org/10.11124/jbisrir-2012-258

 

Explain how the evidence is relevant to your selected nursing clinical practice problem and population.

 

The systematic review examines the impact of hourly rounding on fall rates among adult patients in acute care settings. Falls remain a leading cause of injury in hospitals, with rates ranging from 2.2 to 17.1 per 1,000 patient bed days. The review identifies intrinsic factors such as age, cognition and mobility issues and extrinsic factors such as environment and medications contributing to falls.

 

 

 

Explain how the evidence is relevant to your selected intervention. What data from the article helps support the implementation of this intervention into practice?

 

The review highlights hourly rounding as a proactive strategy that significantly reduces falls by addressing pain, toileting needs, repositioning, and personal item accessibility.

 

 

Section 3: Evidence Summary Peer-Reviewed Quantitative Research Study

Using only the Chamberlain University Library, locate one peer-reviewed quantitative research study relevant to your chosen nursing clinical practice problem that supports the intervention and has been published within the past 5 years.

 

Provide the complete APA reference to the evidence, including the permalink. State which database you found the evidence in.

 

https://chamberlain.primo.exlibrisgroup.com/permalink/01CUCON_INST/f6kb8f/cdi_proquest_journals_2800604148

Pirrocco, J. A. (2023). A Multi-Modality Approach to Reducing Falls in an Acute Care Community Hospital. ProQuest Dissertations & Theses.

 

Explain how the evidence is relevant to your selected nursing practice problem and population.

 

This study investigates fall reduction strategies in a medical-surgical unit in an urban hospital. The research directly applies to my PICOT question because it evaluates the impact of a structured hourly rounding approach combined with fall prevention tools in a population of hospitalized adults.

 

Explain how the evidence is relevant to your selected intervention. What data from the article helps support the implementation of this intervention into practice?

 

The study implemented Patricia Dykes’ Fall TIPS tool alongside hourly rounding and found a 38% reduction in fall rates (p = 0.001). The project demonstrated that staff education and adherence to structured rounding logs significantly impacted fall prevention.

 

 

Section 4: Evidence-Based Interventions

 

Describe the selected evidence-based nursing intervention in detail. How do you believe this intervention could be implemented in your practice area?

 

The selected intervention is hourly nursing rounds, where nurses proactively visit patients every hour during the day and every two hours at night. This structured approach reduces patient falls by ensuring frequent interactions, minimizing the need for patients to attempt high-risk activities without assistance.

 

 

 

Explain how the intervention supports the outcome and addresses your identified nursing clinical practice problem.

 

The intervention addresses common fall risk factors such as unmet toileting needs, medication side effects and environmental hazards.  By decreasing the unmet needs of the patient, hourly rounding directly decreases the incidence of falls.

 

What interprofessional team members would it be important to collaborate with? Explain

 

Nursing Staff – Direct patient care and compliance with rounding protocols.

Nursing Leadership – Ensures adherence to evidence-based practice.

Physicians – Address medication-related fall risks.

 

 

References:
Provide complete references for all citations.

 

 

Mant, T., Dunning, T., & Hutchinson, A. (2012). The clinical effectiveness of hourly rounding on fall-related incidents involving adult patients in an acute care setting: a systematic review. JBI Library of Systematic Reviews, 10(56 Suppl), 1–12.
https://doi.org/10.11124/jbisrir-2012-258

 

 

Pirrocco, J. A. (2023). A Multi-Modality Approach to Reducing Falls in an Acute Care Community Hospital. ProQuest Dissertations & Theses. Week 2 Assignment Evidence Summary

Gastrointestinal and Hepatobiliary System case studies

Scenario 1: Prescription Errors and Corrections

The prescriptions in the list include five errors. (1) Linaglipton has been misspelled; the name of the drug is linagliptin which inhibits DPP-4 enzyme and elevates the incretin level which prevents the release of glucagon and promotes the release of insulin. Proper prescription:
Linagliptin 5 mg PO daily, Disp: #30 tabs, Refills: 5
. (2) Tresiba (insulin degludec) cannot be administered TID: it is a long-acting insulin given once a day. Correct:
Tresiba U 100,10 units SC daily injection, Disp: 1 box (5 pens), Refills: 1
. It is long-acting insulin which binds to albumin and is slow releasing. (3) Tiotropium is inhaled, not oral. Correct:
Tiotropium (Spiriva Respimat) 25 mg, inhale 2 puffs one time a day, Disp: 1 inhaler (60 doses). Refills: 1
(Brunton, Knollmann, & Hilal-Dandan (Eds.), 2018). It is a long-time muscarinic antagonist which relaxes the bronchial smooth muscles. (4) Qulipta is PRN instead of preventive. Correct:
Qulipta 60 mg PO q daily, Disp: 30, Refills: 1
. It is a CGRP receptor blocking, an agent employed in migraine prevention. This erroneous prescription is (5) Levothyroxine taken at the wrong dose of 88 mg rather than micrograms. Right:
Levothyroxine 88 mcg PO Day,

Disp: 30 tabs, Refills: 5
. It is an artificial thyroid hormone, which substitutes natural thyroxine.

Scenario 2: Asthma Management for PK

According to NHLBI guidelines, PK shows evidence of asthma not well controlled. She takes in albuterol >2 days/week, and has nocturnal symptoms. Although she is taking Flovent, her usage is unreliable, which shows the failure to take control. Step- up to combination inhaler is recommended. Discontinue Flovent and start on budesonide-formoterol (Symbicort 80/4.5 mcg), 2 puffs BID, Disp: 1 inhaler (120 inhalation), 0 refills at the beginning. Continue Albuterol (Proventil) 2 puffs q4-6h PRN. Allergic rhinitis can remain PRN on Fexofenadine and diphenhydramine. Follow-up after 4 weeks is involved in monitoring, as well as the review of the frequency of the symptoms, night awakenings, and rescue inhaler administration. An action plan against asthma should be supplied. Education encompasses inhaler type, compliance to routine medication, and triggers avoidance (Crook & MStat, 2024). Promote the use of a spacer with MDIs and recording a diary of symptoms. Her target is that her daytime symptoms should be controlled at 2 days/week, with no nocturnal symptoms and a small use of SABA. The Asthma Control Test (ACT) used monthly may be used to ascertain control and make therapy changes.

Scenario 3: Hypertension Management for ES

The blood pressure of ES is 142/89 mm Hg, and non-adherence to bisoprolol is indicative of the fear of side effects. According to JNC 8 and combined ACC/AHA recommendations, the BP goal of African American adult patients is below 140/90mmHg (Riaz, n.d.). The first-line treatment entails thiazide-type diuretics or calcium channel blockers. Beta blockers e.g. bisoprolol are not first-line, unless there is strong indication (e.g., post-MI, heart failure). Explain to the patient about the risks of hypertension (stroke, CKD, heart disease), the necessity to take medication and that side-effects might be manageable. Suggest bisoprolol withdrawal and amlodipine 5 to be begun 5 mg PO every day, Disp: #30, refills: 3. It is an anti-hypertensive, which is a calcium blocker of the dihydropyridine type that lowers peripheral resistance. Dot BP, HR and side effects (e.g. edema) after 2-4 weeks. Modifications on lifestyle (DASH diet, depleted sodium consumption, exercise, weight loss) ought to be enforced. Motivational interviewing can help enhance patient buy in. Inquire about checks (BMP, lipid panel) and cardiovascular risk re-evaluation every year.

Scenario 4: Diabetes Management for TF with CKD

TF has poorly controlled diabetes type II (a1C 8.5), and CKD (eGFR 28). His goal A1C is < = 8.0% considering age, comorbidities, and CKD (de Boer et al., 2022). Metformin may not be used because of eGFR <30. Glimepiride, glyburide contain Sulfonylureas which are risky in CKD (hypoglycemia). Exenatide is not recommended in eGFR Less than 30. Ozempic 0.25 mg SC QW x4 weeks and then to 0.5 mg WO, Disp: 1 pen (4 doses), Refills: 2 is the optimal one. The GLP-1 receptor agonist semaglutide has been shown to better glycemic control and provide CV/renal protection as well as small hypoglycemia risks. Teach about administration, potential GI adverse effects and hypoglycemic reactions, and hypoglycemic symptoms when prescribed with other drugs. Check A1C after 3 months, kidney status and weight. Promote behavioral change such as low-carb dieting and exercising. Intake of nephrotoxic agents should be avoided and keep the BP/LDL under control. He can continue medications (donepezil, lecanemab, atorvastatin) that are taken now. Screen yearly against diabetes complication of diabetes (retinopathy, neuropathy, nephropathy). References Brunton, L. L., Knollmann, B. C., & Hilal-Dandan, R. (Eds.). (2018). Goodman & Gilman’s the pharmacological basis of therapeutics (p. 7). New York, NY, USA:: McGraw-Hill Education. Crook, J., & MStat, D. A. (2024). UTAH MEDICAID DUR REPORT APRIL 2024 SHORT-ACTING BETA-AGONIST UTILIZATION AMONG PATIENTS WITH ASTHMA: A RETROSPECTIVE REVIEW. de Boer, I. H., Khunti, K., Sadusky, T., Tuttle, K. R., Neumiller, J. J., Rhee, C. M., … & Bakris, G. (2022). Diabetes management in chronic kidney disease: a consensus report by the American Diabetes Association (ADA) and Kidney Disease: Improving Global Outcomes (KDIGO). Diabetes care, 45(12), 3075-3090. https://doi.org/10.2337/dci22-0027 Riaz, K., MD. (n.d.). Hypertensive heart disease: overview, etiology, epidemiology. https://emedicine.medscape.com/article/162449-overview#:~:text=The%20medical%20care%20of%20patients,treat%20to%20below%20those%20levels Gastrointestinal and Hepatobiliary System case studies

Case Study: A 64-Year-Old Man With a 9-Year History of Type 2 Diabetes

Discussion Forum:

Case Study: A 64-Year-Old Man With a 9-Year History of Type 2 Diabetes in Whom Insulin Therapy Led to Improved Control but No Weight Gain After 6 Months

To prepare:

Read and review the case study (the pdf is also provided). https://clinical.diabetesjournals.org/content/21/4/190.fullLinks to an external site. (PDF Download PDF). Answer the following questions.

Do all patients starting on insulin gain weight? How much weight gain is to be expected?

How would one optimize chances to limit weight gain or assist a patient in maintaining or even losing weight?

If this patient had gained weight instead of lost weight, would he have increased his risk of cardiovascular disease even though he dramatically improved his glycemic control?

Remember to cite the supporting sources.

Guidelines

For each discussion, you must create one initial post and follow up with at least two response posts.

For your initial post, do the following:

Write a post of 1 to 2 paragraphs.

In Module 1, complete your initial post by Thursday at 11:59 p.m. Eastern.

In Modules two through ten, complete your initial post by Thursday at 11:59 p.m. of your local time zone.

Consider content from other parts of the course where appropriate. Use proper citation methods for your discipline when referencing scholarly or popular sources

Case Study: A 64-Year-Old Man With a 9-Year History of Type 2 Diabetes

Do all patients starting on insulin gain weight? How much weight gain is to be expected?

Weight gain is commonly observed in patients started on insulin therapy. Hodish (2018) cited that insulin is used in instances of failed oral therapies with accompanying insulin resistance. Although most patients who started on insulin therapy or intensified its use report significant weight gain, not all who started on insulin are subject to weight gain (Thomas-Dobersen, 2003). The modest weight gain on twice a daily insulin administration is 3.3kg for the first six months and 1.3kg for the second six months (Thomas-Dobersen, 2003). The relationship between type 2 diabetes and obesity increases the concern over the prognostic of insulin therapy and the associated weight gain.

How would one optimize chances to limit weight gain or assist a patient in maintaining or even losing weight?

Chances of weight gain can be limited through pharmaceutical regimens and medical nutrition therapy (MNT). According to Thomas-Dobersen (2003), MNT performed by registered dietitians reported reduced weight gain in six months and was associated with an insignificant increase in the waist-to-hip ratio. Besides, adding NPH insulin to an existing antidiabetic regimen report reduced weight gain than in two-injection insulin regimens. Moreover, glargine used once at bedtime has reported a significant impact on reducing weight gain than in NPH insulin use. Therefore, MNT and new insulin regimens can be used to reduce the weight gain associated with insulin therapy. Case Study: A 64-Year-Old Man With a 9-Year History of Type 2 Diabetes

If this patient had gained weight instead of lost weight, would he have increased his risk of cardiovascular disease even though he dramatically improved his glycemic control?

Weight gain is a risk factor for cardiovascular diseases. Although insulin therapy reduces the risk of cardiovascular diseases, additional weight gain is a concern.  According to Thomas-Dobersen (2003), obesity increases the risk of arterial hypertension, dyslipidemia, and sudden cardiac failure. Despite the glycemic control, the associated weight gain concern predisposes the patient to the risk of cardiovascular diseases.

References

Hodish, I. (2018). Insulin therapy, weight gain, and prognosis. 
Diabetes, Obesity and Metabolism
, 
20
(9), 2085-2092.
https://doi.org/10.1111/dom.13367

Thomas-Dobersen, D. (2003). Case study: A 64-year-old man with a 9-year history of type 2 diabetes in whom insulin therapy led to improved control but no weight gain after 6 months. 
Clinical Diabetes
, 
21
(4), 190-192.
https://doi.org/10.2337/diaclin.21.4.190
  Case Study: A 64-Year-Old Man With a 9-Year History of Type 2 Diabetes

Leon County vaccine hesitancy Essay

A major health concern arises in a predominantly black and Hispanic rural community in Leon County, Florida, which is overcoming the vaccine hesitancy, procrastination, and rejection of Covid-19. Although the community itself knows the virus and it is directly related to someone’s friends or relatives, but, for some reason, a lot of people still do not want get vaccinated against COVID-19. Such a low vaccination rate presents a hindrance towards ensuring safety levels of immunization within the neighborhood, as well as on the state and world maps (Tzeng et al., 2023).

The health behavior issue can be understood through the lens of health promotion and its three levels: In terms of primary health behaviors, primary prevention could be considered on low COVID-19 vaccination rate. Encouraging vaccination is essential to prevent new COVID-19 infections within the community, which is the cornerstone of stopping the virus’s spread. Secondary Prevention: It is noteworthy that many concerning health statistics have come up as well such as high blood pressure and elevated glucose levels that suggest uncontrolled chronic disease. Secondary prevention focuses on early detection and intervention, which involves regular health screenings and the management of existing health conditions to prevent complications. Tertiary Prevention: During tertiary prevention process, it ensures that the patients are well cared for to avoid complications while also mobilising communities on the need of a vaccine against coronavirus in order to reduce subsequent cases.

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Health Professions Shortage Area (HPSA): In many such areas, there is an acute scarcity of health personnel, especially in outlying communities. The shortage limits access to healthcare services, including vaccinations and chronic disease management. Medically Underserved Populations (MUPs): It also means a large number of people who cannot get proper treatment at health centers. In the predominantly Black and Hispanic rural community, this translates to barriers in accessing healthcare services, leading to lower vaccination rates and suboptimal management of chronic diseases. Medically Underserved Area (MUAs): The areas referred to as MUAs are those geographical areas that have no or inadequate health care accessibility. This is especially possible for the rural community of Leon County, which has geographical obstacles that prevent health care resources accessibility Leon County vaccine hesitancy Essay.

These designations bring serious implications. The provision of limited healthcare resources coupled by low numbers of health care personnel, coupled with socio-economic characteristics limit health promotion initiatives targeting attaining safe levels of immunity. Some of the key SDH in this community are socioeconomic status, education, access to healthcare, and community support (Chelak& Chakole 2023). While economic disparities may limit accessibility of health care services there are needs for health insurance. Given the poor health literacy, people can be vaccine-hesitant necessitating culturally sensitive health education. Healthcare should be made more accessible by improving infrastructure and service provision. In order to obtain this level of cooperation, it is important to engage in a partnership with members of leadership within the community as well as various organizational groups (Stormacq et al., 2020). Leon County vaccine hesitancy Essay

Such health, prevention, and intervention models include the Health Belief Model. Susceptibility, severity, benefits and barriers related to vaccinations and chronic illness are measured in this model for better targeted intervention strategies. This involves offering plain and culturally appropriate information that users of health literacy skills need.

It is important for a health planning process that include assessment, planning, implementation and evaluation. Such health technologies or resources such as telehealth or the use of evidence based health promotion materials and community health information systems can map current state or the extent of present health promotional requirements and help design the proper interventions. Therefore, considering the health promotion levels, social determinants of health, health and promotion models and use of evidence based tools would serve the purpose to address the primary health behavior need for this community. The complete approach for reaching safe levels of immunity among the Leon counties in Florida could be achieved to boost their health as well as general well being.

References

Chelak, K., & Chakole, S. (2023). The role of social determinants of health in promoting health equality: A narrative review. 
Cureus
. 
https://doi.org/10.7759/cureus.33425

Stormacq, C., Wosinski, J., Boillat, E., & Van den Broucke, S. (2020). Effects of health literacy interventions on health-related outcomes in socioeconomically disadvantaged adults living in the community: A systematic review. 
JBI Evidence Synthesis
, 
18
(7), 1389-1469. 
https://doi.org/10.11124/jbisrir-d-18-00023

Tzeng, R., Huang, F., & Lee, J. (2023). Compliance, procrastination and refusal: American COVID-19 vaccination trust and value orientation. 
Vaccine
, 
41
(34), 4950-4957. 
https://doi.org/10.1016/j.vaccine.2023.06.060 
 Leon County vaccine hesitancy Essay

 

Leon County vaccine hesitancy Essay Instructions 

This Leon County vaccine hesitancy Essay assignment involves a written paper report. You have been asked to prepare and submit a written response to address a primary health promotion need addressing the issue of vaccine hesitancy. Refer below to the unfolding case scenario of a Leon County rural community introduced to you in Module One.

CASE STUDY SCENARIO

Overcoming COVID-19 vaccine hesitancy, procrastination, and rejection continues to pose a great challenge for reaching safe levels of immunity locally, nationally, and globally. During a recent health event organized in a Leon County Florida rural community of predominantly Black and Hispanic groups, a significant number of adults and families reported on the survey that they have been impacted by the COVID-19 virus either through personal infection or family members and significant other. A significant number also reported that they have not received the COVID-19 vaccination. Screening data revealed average group blood pressure of 159/110 mmHg, fasting glucose meter of 250 dl/L (obtained from most recent home glucose meter storage memory). Brown bag medication assessment identified multiple prescriptions for managing multiple chronic disease conditions among the adults.

The following key items must be addressed in your response:

Explain the primary health behavior need/s or problem identifiable for this community? Apply your knowledge of the levels of health promotion and concepts to explain the problem/s.

Describe the meaning and provide specific scores of following three listed health status designations for Leon County. What are the challenges of these designations and the implications of the currents status for meeting the health promotion needs for the populations in the case?

Health Professions Shortage Area (HPSA)

Medically Underserved Populations (MUPs)

Medically Underserved Area (MUAs)

Referencing HealthyPeople 2030 goals, analyze how social determinants of health (SDH) can be used to create an intervention plan to reduce health disparities associated with this rural community. Identify specific SDH in your response.

Explain how you would apply a health promotion model reviewed in this module and health literacy skills to support a health behavior change in this community. Include a health planning process with specific steps. Leon County vaccine hesitancy Essay

Explain how would you utilize appropriate health technologies, evidence-based tools, and information to map the course of the current health promotion needs of the community and to develop an appropriate plan for intervention?

https://floridahealthcovid19.gov/vaccines/

MacDonald, N. E. et al. Vaccine hesitancy: Definition, scope and determinants. Vaccine 33, 4161–4 (2015)Links to an external site.

Badr, H., Zhang, X., Oluyomi, A., Woodard, L. D., Adepoju, O. E., Raza, S. A., & Amos, C. I. (2021). Overcoming COVID-19 Vaccine Hesitancy: Insights from an Online Population-Based Survey in the United States. Vaccines, 9(10), 1100.Links to an external site.

Simas, C., Larson, H.J. Overcoming vaccine hesitancy in low-income and middle-income regions. Nat Rev Dis Primers 7, 41 (2021).Links to an external site.

Hesitancy in the time of coronavirus: Temporal, spatial, and sociodemographic variations in COVID-19 vaccine hesitancy

Evidence-Based Strategies for Clinical Organizations to Address COVID-19 Vaccine Hesitancy

https://famu.instructure.com/courses/34239/files/4213894?wrap=1 Leon County vaccine hesitancy Essay

Jazz Music, Black Lives Matter and Racial Equality Essay

What are your feelings about Black Lives Matter?

Having seen the development of jazz, with musicians of backgrounds, but many African American heroes, do you feel this music has played a role in promoting racial equality?

Has the study of this music made a difference in how you look at the interaction of musicians with diverse backgrounds?

Do you feel that some of the jazz featured in this course played a role politically in expressing views for the need for change and racial equality?

Do you like the music featured in this jazz course? Why or why not?

The Interlink Between Jazz Music, Black Lives Matter and Racial Equality Essay

Black Lives Matter, racial equality and jazz music have become somewhat intertwined, with the three facets impacting things. For example, according to Philipp (2019), Jazz music became rooted and an institution for African Americans to express their lives, stories, and attitudes. Regarding exploring the three topics, they are hardly separated and were key to shaping the African American culture and society at large. This paper provides an essay responding to the interconnectedness of jazz music, black lives matter (BLM) and racial equality.

Feelings About Black Lives Matter

The BLM is a movement which was established as a counter to police brutality against black people. My feelings about the movement are linked to the search for justice, solidarity and empathy towards black Americans. In addition to responding to black Americans’ demand for justice and the fight against police brutality, the movement also focuses on addressing racism and social injustices as major vices faced by back communities (Sonnett, 2020). The movement is, in turn, a call to recognize the dignity and humanity that blacks deserve, which resonates very well with me. In addition to making people aware of the vices experienced by the blacks, it also contributes to reforms and empowerment of the communities, reflecting the values linked to an equitable society.

Response To How I Feel Regarding Jazz Music’s Role Towards Influencing Racial Equality

According to Hiro, B. (nd), jazz music has been a rich source of history regarding African Americans, contributing to diverse racial equality, providing African Americans with a platform for expression and inspiring the community’s activism. On the other hand, music has been key to challenging prejudice and advancing the cause of equality and racial justice. Dating back to this genre’s origins in New Orleans, the music has been a dedicated and strong vehicle for the African Americans being used to express their stand, cultural exchange and resistance. The popularity of the music has traversed racial boundaries to bring diverse people together through appreciation of the music’s contribution to the rise of African American culture and recognition. In summary, the music has elevated the African’s existence and prowess to the international stage, enabling them to overcome adversity and discrimination.

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Impact Of Studying Jazz Music On How I Look At The Interactions Of Musicians With Diverse Backgrounds

Through studying Jazz music, I have gained an in-depth understanding and appreciation of the interconnectedness among artists with diverse backgrounds. Jazz thrives on unity, respect, collective improvisation and teamwork among different performers. Studying Jazz has been key towards understanding and appreciating the input of different musicians, hence fostering a view on the richness and diversity that is comprised in the history and richness of Jazz music (Sonnett, 2020). Some of the covered jazz music has indeed contributed to changing the view and understanding of racial equality. The artists have addressed diverse social and political issues through their music, advocating for equality and justice. This has been done via the melodies, lyrics, and rhythms; the music of Jazz can be said to have presented a platform in which artists articulated marginalized communities’ struggles. Over its history, jazz music has remained a force to be reckoned with regarding transformation and advocacy for social consciousness. Jazz Music, Black Lives Matter and Racial Equality Essay

Finally, regarding the featured music, I like it. Despite having a minimal understanding of the
jazz genre
history and its impact on society over the years, I have come across a rich cultural heritage through the featured music. More so, the differences in style, voices and influences included in the Jazz drive a compelling appeal and relevance. The music’s depth and complexity invite listeners to appreciate the presentations and human experience.

In summary, the interlink between the three facets, black lives matter, jazz music and racial equality, presents a rich integration of how the power of art and activism can drive change. Movements such as black lives matter continue to recognize inequality and advocate for its addressing together with jazz music, expressing creativity and solidarity towards a just and inclusive society for all people.

References

Hiro, B. (n.d.).
Ask the Expert: A Tipping Point for Black Lives Matter?
Ask the Expert: A Tipping Point for Black Lives Matter? Retrieved April 6, 2024, from
https://news.csusm.edu/ask-the-expert-black-lives-matter/

Philipp, Z. (2019).
The Social Effects of Jazz
. Www.york.cuny.edu; York College.
https://www.york.cuny.edu/english/writing-program/the-york-scholar-1/volume-6.1-fall-2009/the-social-effects-of-jazz

Sonnett, J. (2020). Musical Relationships: Intersections of Race, Gender, Genre, and Listening Situation.
Cultural Sociology
,
15
(1), 174997552092924.
https://doi.org/10.1177/1749975520929240 
 Jazz Music, Black Lives Matter and Racial Equality Essay

Guided Database Exercise: Exploring Healthcare Data from Collection to Analysis

Introduction

Welcome to the guided database exercise for Module 4! This hands-on activity will help you develop practical skills in healthcare data management and analysis using our synthetic patient dataset. By completing this exercise, you’ll gain experience with fundamental data science concepts that nursing leaders use to inform clinical decision-making and quality improvement efforts. This activity directly supports the module learning objectives and prepares you for Discussion Assignment 2 and your Midterm paper.

Please note: This exercise is designed to accommodate students at different points in their DNP curriculum. For those who have completed NGR 6930 (Advanced Statistics for the DNP), this activity provides an opportunity to apply statistical concepts specifically to healthcare data science and informatics contexts. For students who have not yet taken that course, this activity introduces foundational concepts that will support both your current learning in informatics and future statistical coursework. The goal is to connect statistical thinking with healthcare data management and analysis—core skills for nurse leaders in today’s data-driven healthcare environment. Whether this material serves as a refresher or an introduction, these concepts are essential for meaningful interpretation of healthcare data to improve clinical outcomes and organizational performance.

Learning Objectives

After completing this exercise, you will be able to:

Categorize healthcare data elements by their measurement levels and data types

Identify and assess common data quality issues in healthcare datasets

Calculate and interpret basic descriptive statistics for healthcare variables

Create simple visualizations to communicate healthcare data patterns

Guided Database Exercise: Exploring Healthcare Data from Collection to Analysis

BUY A PLAGIARISM-FREE PAPER HERE 

Materials Needed

Computer with Microsoft Excel, Google Sheets, or similar spreadsheet software

Downloaded synthetic patient dataset file (“SyntheticPatientData.xlsx”)

Data dictionary document (“DataDictionary.pdf”)

Estimated Time: 90 minutes

Instructions

PART 1: DATABASE STRUCTURE AND DATA TYPES (30 minutes)

Note to Students:
This section builds on statistical concepts from NGR 6930 (Advanced Statistics for the DNP) for those who have completed that course. If you haven’t yet taken NGR 6930, this exercise provides fundamental concepts that will prepare you for that course while supporting your current learning in nursing informatics.

Access and Review the Dataset

Open the synthetic patient dataset in your spreadsheet application

Take 5 minutes to review the overall structure of the dataset

Open the data dictionary document to understand what each variable represents

Identify Data Types

Review the variables in the dataset and identify at least 3 examples of each measurement level:

Nominal variables (categories with no natural order, like gender or blood type)

Ordinal variables (categories with a meaningful order, like pain scales or education level)

Interval/ratio variables (numeric measurements, like blood pressure or BMI)

For students who have completed NGR 6930:
Consider how these measurement levels informed your selection of statistical tests in your previous coursework. How do those same principles apply when analyzing healthcare datasets in informatics contexts?

For students who have not yet taken NGR 6930:
These measurement levels are fundamental to selecting appropriate statistical analyses. The level of measurement determines which operations (mathematical or statistical) can be meaningfully performed on the data.

Complete the Data Classification Table

Create a table with the following columns: Variable Name, Description, Measurement Level (Nominal/Ordinal/Interval/Ratio), and Potential Clinical Use

Complete this table for at least 10 variables from the dataset

Reflection Questions

How does understanding measurement levels influence your approach to healthcare data analysis?

Which variables would be most valuable for assessing population health as described in Chapter 13?

How might the database structure concepts discussed in Chapter 18 help you organize and analyze healthcare data more effectively?

PART 2: DATA QUALITY ASSESSMENT (30 minutes)

Examine Data Completeness

For each column in the dataset, determine the number of missing values

Calculate the percentage of completeness for each variable

Identify the 3 variables with the most missing data

Check for Data Accuracy Issues

Look for potential outliers in numeric variables (values that seem unreasonably high or low)

Check for inconsistencies between related variables (e.g., contradictory clinical indicators)

Identify any formatting issues that might affect analysis

Create a Data Quality Report

Prepare a brief report documenting your findings on data completeness and accuracy

For each quality issue identified, note:

The specific variable(s) affected

The nature and extent of the issue

How this might impact analysis or clinical decision-making

A recommended approach to address the issue

Reflection Questions

Based on the Data Science Roadmap article, what data cleaning steps would be most important for this dataset?

How do the data quality issues you identified relate to Orr’s Data Quality Rules mentioned in Chapter 17?

What questions would you need to ask the data source owners to understand these quality issues better?

PART 3: BASIC DATA EXPLORATION (30 minutes)

Calculate Descriptive Statistics

For at least 3 numeric variables (e.g., age, BMI, blood pressure):

Calculate the mean, median, mode, minimum, maximum, and standard deviation

Interpret what these values tell you about the patient population

For at least 3 categorical variables (e.g., gender, diagnosis codes, ethnicity):

Create frequency distributions showing counts and percentages

Interpret what these distributions tell you about the patient population

Create Basic Visualizations

Create at least one visualization for a numeric variable (e.g., histogram of age distribution)

Create at least one visualization for a categorical variable (e.g., pie chart of gender distribution)

Create at least one visualization showing a relationship between variables (e.g., bar chart of diagnoses by age group)

Interpretation

For each visualization, write 2-3 sentences explaining the key patterns or insights revealed

Note any unexpected findings or areas that warrant further investigation

Reflection Questions

How do your descriptive findings relate to the exploratory data analysis step in the Data Science Roadmap?

What additional analyses would help you better understand relationships in the data?

How might these initial findings inform potential research questions for Discussion Assignment 2?

 

Submission Guidelines

This is an ungraded learning activity designed to build your skills and prepare you for
Discussion Assignment 2
, so you will not be submitting your work. However, we encourage you to use the Module 4 Questions forum to engage in discussion and troubleshooting with your peers. If you encounter technical difficulties or have questions about the dataset, you are encouraged to post in the Module 4 Questions forum in case others in your class have encountered the same issue and be able to help. er-based problem solving. For further guidance and support, contact your instructor directly or attend their posted office hours, as needed.

References

Refer to your Module 4 readings, particularly:

Chapter 18: Data Management and Analytics

Chapter 13: Public Health Data to Support Healthy Communities

Pruinelli et al.: An Applied Healthcare Data Science Roadmap for Nursing Leaders

Guided Database Exercise: Exploring Healthcare Data from Collection to Analysis

Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility?

 

 

Exploring the Relationship Between Encounter Type and Hospital Length of Stay in Nursing Practice

 

Student’s name

Instructor’s name

Institutional affiliation

Course

Date

 

 

 

Table of Contents

Introduction. 3

Methods. 3

Data Source. 3

Variables. 4

Data Cleaning. 5

Analysis. 6

Results. 7

Discussion. 9

Interpretation of Findings. 9

Nursing Implications. 10

Ethical and Cultural Considerations. 11

Limitations. 12

Conclusion. 13

 

 

 

Table of Figures

Table 1: Pivot Table. 9

Table 2: t-Test 10

 

Introduction – Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility?

Length of stay (LOS) is an important factor that measures healthcare efficiency, cost, and patient outcomes. The longer the stay, the more it can be an indication of complications or delayed care. On the other hand, the shorter the stay, the more it could be streamlined care, or the reverse, an early dismissal. Knowing the factors affecting LOS is a necessity to ensure nurses and healthcare teams achieve effective discharge planning, resource management and quality improvement (Pruinelli et al., 2020). The research question of the paper is: Is there a difference in the average length of stay based on the type of patient encounter, such as Checkup/Follow-Up versus Emergency/Hospital care?

The contemporary age of data-driven healthcare implies that the nursing practice will rely primarily on the skills to analyse and interpret clinical data and use it as the basis of decision-making. Data science tools enable nurse leaders to determine the trends, forecast the results and analyse real-world electronic health records (EHRs) (Douthit et al., 2022). This allows the development of skills without a threat to patient privacy. Although synthetic data has limitations, it is a viable platform to develop core competencies in healthcare analytics. This paper seeks to investigate the encounter-level fluctuations in LOS and their consequences in nursing practice using fundamental data science techniques.

Methods

GET ASSIGNMENT HELP HERE

Data Source

The information analyzed in this paper was collected in an artificial patient dataset made available under the Module 4 course materials. It is a simulation of electronic health records (EHRs), and this data set includes structured variables, including patient demographics, type of encounter, discharge destination, and clinical indicators. It can be used as a worthy instrument for practising data analytics in a well-regulated setting without violating the privacy of the patient or their ethical principles. This data was provided in Microsoft Excel format in a form that also contained a data dictionary with variable definitions and classifications.

Despite the usefulness of synthetic data in the teaching and development of skills, its application has certain significant limitations. First and foremost, data lacks richness in the real populations of patients, such as socioeconomic diversity, comorbidity, or longitudinal care patterns. Consequently, the data will be able to demonstrate the use of healthcare data science techniques; however, any trends observed may be viewed with caution. Any conclusions made on the basis of artificial data cannot be applied to the actual clinical practice until additional confirmation with real patient data.

Variables

The research question underlying this project (i.e., is there an association between the type of patient encounter and differences in mean length of stay in the hospital) necessitated the identification of variables that incorporated both types of encounter and hospital utilization. The average length of stay was the dependent variable chosen to run this analysis, as data in the dataset was input as AvgLOS, the average number of days of stay in an institution. This is the number of days of hospitalization related to an individual encounter, and it is one of the major variables used to measure healthcare effectiveness and utilization.

In this analysis, the independent variable was LastEncounterType, the nature of the patient’s most recent clinical encounter. The entries in this field used to be followed by long descriptions in the earlier instances, like the description of check up and the description of Emergency room admission. In order to analyze them, there was a review of these values and their grouping into broader clinically meaningful categories based on shared attributes. These new categories were Checkup/Follow-Up, Emergency/Hospital, Problem/Symptom, Prenatal/Gynaecology, and Other. This reclassification enabled more identifiable statistics between approaches to encounters, which had varying requirements in terms of clinical urgency, resource requirements and care delivery models.

Categorization of the LastEncounterType variable had a number of interesting goals. First, it narrowed down the number of unique categories in the data, thus making it much easier to analyze without having to have the groups of people too small to conduct the testing. Second, it enabled the meaningful clinical interpretation of findings, e.g. comparing preventive care visits and acute emergency admissions. Finally, such a change in the variable enhanced the validity and quality of the total analysis by diminishing the noise and concentrating on the essential kinds of encounters that are the most pertinent to discharge planning and length of stay at the hospital.

Data Cleaning

Prior to any analysis, the data cleaning procedure was attended to so as to guarantee the quality and usefulness of the data. Among the first problems was the fact that the AvgLOS column contained values that were missing. Because the average length of stay served as the key dependent variable in this research, the records that did not contain this information were not considered during further analysis. This was necessary since the lack of data may introduce bias and reduce the statistical power, leading to invalid results (Baldwin et al., 2022). The bases of the decision to eliminate incomplete records were as follows: in order to make accurate comparisons, complete data should be used on the variables of interest. After the elimination of the missing values, a new column entitled EncounterGroup was inserted into the Excel file. This column was applied to classify LastEncounterType into the five encounter groups discussed above.

This classification was then carried out by using formula functions in an Excel sheet, I.E., IF function and SEARCH function, where text is used to classify the keywords in the field called LastEncounterType. This step made the dataset consistent and provided the possibility of methodical assignment of a record to the group. The cleaning and transformation data steps played the critical role of providing a correct, accountable finding, and the results obtained would represent significant variation in patient groups.

Analysis

After the cleaning and categorization of the dataset, the analysis was performed with the help of simple descriptive statistics calculations. The average, standard deviation and the count of AvgLOS were calculated using the PivotTable feature in Microsoft Excel for each encounter group. These descriptive measures gave some preliminary knowledge about the differences in length of stay of different types of encounters. The PivotTable format has been used to draw side-by-side comparisons between the groups and to generate visual summaries to back up the findings.

The comparison involving the two-sample t-test was used to test whether the difference in the length of stay was statistically significant across the groups, considering unequal variances. Using a t-test, the paper compared the AvgLOS of two types of encounters that were selected: Checkup/Follow-Up and Emergency/Hospital. These groups were identified as a result of being at the extreme different ends of care settings, i.e. routine care and acute care, with a large enough sample size of observations to carry a meaningful comparison. A hypothesis of unequal variances was assumed because of unequal sample size and the variability observed in the two groups. The t-test was run with the t-test on Microsoft Excel Data Analysis Toolpak, giving the results of the t-statistic, degrees of freedom, and the p-value of the test.

Microsoft Excel was the right tool for analysis in terms of the project. The features of Excel allowed the cleaning of data, recoding, and the statistical test within one environment. It also enabled an open and repeatable process that is consistent with introductory data science in healthcare. Using these methods of analysis, the researcher wanted to define some patterns in the hospital length of stay to be applied in the nursing practice and discharge planning strategies.

Results

To investigate the average length of hospital stay (AvgLOS), descriptive analysis was applied to study the five categorized encounter groups, namely: Checkup/Follow-Up, Emergency/Hospital, Problem/Symptom, Prenatal/Gynaecology, and Other. With the records with missing data on AvgLOS being eliminated, 41 patient records became available to be analyzed. The PivotTable feature of Microsoft Excel was used to compute the mean, standard deviation and sample size of each group, which offered an insight into the potential role of the type of encounter in affecting hospital resource utilization.

The longer the average length of stay was, the higher the number of the group, the “Other” category (M = 3.69 days, SD = 3.34, n = 5), followed by the Checkup/Follow-Up group (M = 2.87 days, SD = 3.77, n = 21), as illustrated in Table 1. The Prenatal/Gynaecology group seemed to have a shorter mean length of stay (M = 2.00 days, SD = 0.82, n = 4) as well as the Problem/Symptom group (M = 2.29 days, SD = 2.36, n = 7). Emergency/Hospital was the group that stayed the shortest on average ( M = 1.53 days, SD = 0.86, n = 4). This difference in LOS implies that patients seeking emergency or acute care services received a shorter average discharge time than patients seeking routine or follow-up services.

In order to determine whether the change in mean length of stay between Checkup/Follow-Up and Emergency/Hospital groups was significant or not, a two-sample t-test with unequal variances was conducted. Table 2 shows the results of the t-test. The checkup/follow-up group had a mean LOS of 2.87 days (n = 21) compared to the emergency/hospital group, which had 1.53 days (n = 4). The t-value computed was 1.44, and the degrees of freedom were 22. The value of the two-tailed p was 0.164, and this value is greater than our standard alpha level of 0.05. Consequently, the disparity in LOS of the two groups cannot be viewed as statistically significant. Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility?

Although not statistically significant, it is possible that the difference between the two group numbers, which is an average of over one more day of hospitalization in patients as part of the Checkup/Follow-Up care, is clinically important, especially regarding care transition, discharge planning, or quality improvement efforts. Nonetheless, the Emergency/Hospital group had only a small sample size, which probably resulted in low levels of statistical power, and it became harder to find a significant effect if one exists.

These results support the idea that, although there are differences in mean LOS based on type of encounter, the actual difference between the two most divergent groups, routine and emergency, was not found to be statistically significant in this data pool. This result reaffirms the necessity of the interpretation of not only statistical but also clinical significance in cases where one deals with small samples or synthetic data. A deeper examination using bigger or real-life data might give a more concise view of such connections.

Table 1: Pivot Table

Row Labels

Average of AvgLOS

Count of AvgLOS

StdDev of AvgLOS

Checkup/Follow-Up

2.86984127

21

3.766178505

Emergency/Hospital

1.533333333

4

0.858939915

Other

3.688

5

3.339269381

Prenatal/Gynecology

2

4

0.816496581

Problem/Symptom

2.285714286

7

2.360387377

Grand Total

2.654634146

41

3.081942468

 

 

Table 2: t-Test

t-Test: Two-Sample Assuming Unequal Variances

 

Variable 1

Variable 2

Mean

2.86984127

1.533333333

Variance

14.18410053

0.737777778

Observations

21

4

Hypothesized Mean Difference

0

df

22

t Stat

1.441295972

P(T<=t) one-tail 0.081792237 t Critical one-tail 1.717144374 P(T<=t) two-tail 0.163584474 t Critical two-tail 2.073873068     Discussion Interpretation of Findings The findings of the present study suggest that the average length of hospital stay (LOS) differs measurably by the nature of the patient encounter. More specifically, patients who belonged to the Checkup/ Follow-Up group had a higher average LOS (M = 2.87 days) than those in the Emergency/ Hospital group (M = 1.53 days). Although the difference between the two encounter types did not prove to be statistically significant (p = 0.164), the high value of the difference indicates that the encounter type may still be clinically relevant in terms of assessing trends in hospital use. Longer LOS experienced in the Checkup/Follow-Up group might seem counterintuitive by its very presence. This can, however, be explained using clinical reasoning. The patients who visit the office to receive a regular check-up or monitor an existing condition can be a part of the patient population with chronic conditions or complications that should be re-evaluated, monitored, or even hospitalized to change the treatment plan. Conversely, there might be some emergency care or acute care encounters that end with rapid evaluations and discharge in case the condition is stabilized within a short period, therefore, leaving LOS to be short. This may also result in older adults or patients who are in transition between care settings, one more reason to extend their stay in the hospital, which may belong to the Checkup/Follow-Up group. Such trends indicate the complexities of care transitions wherein the preventive care is not necessarily equal to short hospital stays, particularly once overlaid with social or medical vulnerabilities. Nursing Implications A number of implications of these findings can be suggested to the nursing practice, especially in the field of discharge planning, staffing, and resource distribution. First, knowing that the patients who fall into the routine care/follow-up encounters category may have a longer stay, nurses and case managers can be more prepared when it comes to the discharge planning process. These patients might need multidisciplinary interventions, which could be medication reconciliation, patient education, referrals to home care or assessment of social support, before they are safe to be discharged. The expected higher LOS in this group enables more proactive care coordination and decreases the possible risk of unplanned readmissions. Staffing-wise, units where a significant proportion of patients are admitted regularly, in order to get a routine evaluation or a follow-up, might have to adapt their staffing pattern to a higher need for care or longer hospital stays. Longer length of stay may result in a higher nurse-patient ratio in the long term, an increment in documentation load, and prolonged involvement in case management. These are some of the factors that should be taken into account both in everyday unit supervision and organizational planning. It is also worth noting that pattern identification by type of encounter in LOS contributes when nurse leaders optimize the resource distribution process, as the staff and support services should be relevant to patient demands in care settings. All in all, the use of these insights can enhance care continuity, decrease system burden, and facilitate more successful outcomes in both patients and providers. Ethical and Cultural Considerations A synthetic dataset was used in this research, which is a structured dataset that was built to simulate the structure and characteristics of real data of patients without revealing any details of personal health records. Therefore, there were no ethical risks associated with patient privacy, confidentiality and informed consent. Synthetic data usage offers a perfect training system as nursing students and low to mid-career nurse leaders can practice data interpretation without ethical violation. Nevertheless, when generalizing these results to practice, one must keep in mind the role of such social determinants of health (SDOH) as socioeconomic status (SES) and access to care. In their actual patient populations, LOS may vary greatly due to factors such as health insurance, whether they can cover outpatient services, access to transportation, and support provided by family members. Patients with low SES can have care delayed or could fail to follow their discharge instructions, which might contribute to longer or more complex stays in a hospital. Health literacy and cultural beliefs are also necessary in the manner in which patients perceive and react to hospitalization (Holden et al., 2021). As an example, some cultures interpret hospitalization to be an indication of a lack of family support. In contrast, others consider it to be a requirement and promote it until complete recovery. Such cultural and socioeconomic factors cannot be reflected in synthetic data but are to be remembered when explaining findings so as to transfer them into nursing practice. Nurse leaders should aim to provide cultural competence that upholds patient values and serves the variety in access and outcomes. By customizing discharge planning to acknowledge these factors, via translation services, culturally appropriate education literature, and community referrals, it is possible to make sure that care is equitable and that hospital resources are used appropriately. Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility? Limitations Although the analysis provided beneficial findings, there are a number of limitations that should be considered. Among the main limitations is that the sample is small, especially in the emergency/hospital and prenatal/gynaecology groups, where only four records were found. These small group sizes inhibit statistical power and elevate the risk of Type II errors, i.e. real differences could be missed. The small sample also constrains the generalizability of the results, and more so because synthetic datasets by design do not capture the full diversity of demographic, clinical and behavioural traits in real-world populations. A third limitation is also tied to the data itself. Being synthetic, it does not have the uncontrollability and diversity of live clinical conditions. Additionally, although the division of the LastEncounterType variable, constituting five groups, made an analysis manageable and interpretable, the process always included some subjectivity. The types of encounters that overlap or are vaguely described might not have been classified accurately or simplified, which creates a possibility of classification bias. This paper also did not consider other factors that might be relevant in measuring the length of stay, like the age of the patient and their comorbidities, or the destination of the patient after discharge. These elements have been reported to have major effects on LOS and may distort the connection between the kind of encounter and the length of hospital stay. In future research, these variables would require a stronger multivariate analysis to explain them. Finally, the greater impact of LOS, such as readmission rates, patient satisfaction, or cost of care, which are required attributes of comprehensive quality improvement in nursing practice, was not included in the analysis. Conclusion An analysis of the connection between the type of encounter and mean length of hospital stay (LOS) was performed in this study with the help of a synthetic patient data set. Although the difference between the Checkup/Follow-Up encounter group and the Emergency/Hospital encounter group was not statistically significant, the descriptive findings indicated a marked difference in the average LOS, so that the former group of patients stayed longer. This data could indicate the complexity or transitional demand for routine follow-up and chronic condition care. Though statistical significance was not reached, the results of the observed trends have potential clinical value, especially when taking into consideration the nursing workload, discharge planning, and possible resource allocation (Catania et al., 2024). This project indicates how nurse leaders can gain helpful insights into healthcare data by using the principles of basic data science (variable categorization, data cleaning, descriptive analysis, and t-testing). The results support the prominent role of individualizing care plans to the type of encounter and the predictability of care needs that are not evident at the time of admission, based only on their diagnoses. The generalizability of these results is limited by weaknesses in the dataset, such as the nature of being synthetic and low sample sizes. However, the activity of this analysis development establishes the core skills in the area of healthcare data science and fosters the activity of evidence-based nursing practice. To go further, future studies ought to use real-world data, control the confounding factors (age or comorbidities), and examine other outcomes (readmission rates or patient satisfaction). Finally, data-driven clinical and operational decisions facilitate the process of improving the quality, safety, and equity of health care delivery. Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility?   References Baldwin, J. R., Pingault, J. B., Schoeler, T., Sallis, H. M., & Munafò, M. R. (2022). Protecting against researcher bias in secondary data analysis: challenges and potential solutions.  European Journal of Epidemiology ,  37 (1), 1-10. https://link.springer.com/article/10.1007/s10654-021-00839-0 Catania, G., Zanini, M., Cremona, M. A., Landa, P., Musio, M. E., Watson, R., … & Bagnasco, A. (2024). Nurses’ intention to leave, nurse workload and in-hospital patient mortality in Italy: A descriptive and regression study.  Health Policy ,  143 , 105032. https://www.sciencedirect.com/science/article/pii/S0168851024000423 Douthit, B. J., Walden, R. L., Cato, K., Coviak, C. P., Cruz, C., D’Agostino, F., … & Jeffery, A. D. (2022). Data science trends relevant to nursing practice: a rapid review of the 2020 literature.  Applied clinical informatics ,  13 (01), 161-179. https://www.thieme-connect.com/products/all/doi/10.1055/s-0041-1742218 Holden, C. E., Wheelwright, S., Harle, A., & Wagland, R. (2021). The role of health literacy in cancer care: a mixed studies systematic review.  PloS one ,  16 (11), e0259815. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259815 Pruinelli, L., Johnson, S. G., Fesenmaier, B., Winden, T. J., Coviak, C., & Delaney, C. W. (2020). An applied healthcare data science roadmap for nursing leaders: A workshop development, conceptualization, and application.  CIN: Computers, Informatics, Nursing ,  38 (10), 484-489. https://journals.lww.com/cinjournal/fulltext/2020/10000/An_Applied_Healthcare_Data_Science_Roadmap_for.3.aspx   Is there a difference in the average length of stay based on the discharge destination, such as home or a skilled nursing facility?

Negotiating the Nurse Practitioner Employment Contract Assignment

For this assignment, you will develop a PowerPoint Presentation (8-10 slides) answering the questions listed in Parts 1 and 2 of the assignment.

You are to follow the 10/20/30 rule for presentations: no more than 10 slides, presentation not longer than 20 minutes, and text is not lower than 30-point font.

For Part 1 of this Negotiating the Nurse Practitioner Employment Contract Assignment:

Discuss the type of practice and setting you would like to work out of (specialty, family, geriatrics, hospital, nursing home, hospice, urgent care, etc.). What makes for an ideal work environment? What type of support system and staff do you need? What services do you see yourself providing? What services are you NOT willing to or are not comfortable providing?

How will you meet your CME requirements while practicing at this setting? How will you keep track of your CME hours?

What nursing organization(s) interest you in joining, and how will joining an organization benefit you at your position?

Once you have met the requirements for autonomy in your state while working at your current position, and for those of you who practice in a lifetime of collaboration state, assume you will one day have autonomy. How will you maintain your collaborative relationships with other nurse practitioners you have worked with, the practitioners you have referred to, as well as your collaborative physician?

Part 2 of the assignment:

You’ve just been offered a position at the perfect job you discussed in Part 1 of the assignment.

Besides focusing on patients, reaching a fair and equitable contract that includes not only your salary and benefits but expectations of your patient load, the amount of time you will be spending at the clinic or a health care setting, and the services you will be providing, will affect how you feel about your job over time. It’s time now to consider the position’s job offer.

Part 2: – Negotiating the Nurse Practitioner Employment Contract Assignment

What questions should you ask your potential future employer about the offer?

What salary and bonus structure are acceptable to you?

How can you figure out your net worth for the practice?

If you are expected to take call, what percentage of your salary is reasonable toward this activity?

List the benefits you should negotiate into your contract.

Discuss the practice expectations with your employer. How can you be sure that you are being asked to practice within the scope of your practice?

 

Negotiating the Nurse Practitioner Employment Contract Assignment

Introduction

This discussion analyses my ideal nursing practice setting and employment negotiation strategies.

I will describe the type of practice I would like to pursue and the kind of work environment I would like to work in.

The criteria for continuing medical education (CME) and pertinent professional bodies will be addressed.

We are going to examine how to maintain collaborative partnerships in nursing practice.

The discussion will end with essential reflections on job offers and negotiations.

I welcome you to my best nursing practice and employment negotiation strategy presentation.  This paper will discuss the nursing practice I would like to engage in, focusing on my preferred working environment and the services I would like to offer.  I will also discuss my plan to complete continuing medical education requirements and the professional organizations I want to join.  In addition, we shall examine the approaches to maintaining cooperative relationships with other medical professionals.  The final part of the presentation will focus on key considerations in evaluating job offers, such as salary negotiations, benefits, and how the position fits into my area of work.  The following review is a detailed explanation of my professional goals and career development approach in nursing.

Ideal Practice Setting

I want to practice as a family nurse practitioner within an urban community health center.

The working environment should focus on patient-centered care and interdisciplinary collaboration.

I require support personnel in the form of medical assistants, certified nurses, and administrative staff.

I will offer primary care, health promotion, and chronic illness management services.

I do not feel comfortable with invasive procedures other than basic suturing and incision drainage.

I aim to offer a holistic healing environment supporting diverse community health needs.

My choice of practice setting as a family nurse practitioner is an urban community health center.  This environment aligns with my passion for providing comprehensive, patient-centered care to diverse populations.  I envision a workplace that encourages multidisciplinary collaboration, which allows holistic care to be provided to patients.  To work effectively, I will require a complete support system consisting of medical assistants to perform patient intake and basic procedures, registered nurses to triage and educate patients, and administrative staff to schedule and invoice.  As a part of the staff, I would like to offer diverse services, such as primary care for people of all ages, health promotion and disease prevention programs, and chronic illness management.  However, I am not comfortable performing invasive procedures beyond simple suturing and incision drainage, and I would rather refer such cases to specialists.  My main goal is to offer a therapeutic setting that will address the various health needs of the community with a focus on treatment and prevention.

HUMAN-WRITTEN AND PLAGIARISM-FREE ASSIGNMNET HELP 

Continuing Medical Education (CME)

I will allocate monthly time to online Continuing Medical Education courses and webinars.

Face-to-face education will be given priority by attending annual nursing conferences.

I want to subscribe to the respected nursing journals for constant education and the latest research.

Participation in the local health department programs will supplement my expertise in my community.

I will adopt a digital CME monitoring application to track and monitor the accumulated CME hours.

I aim to exceed the minimum Continuing Medical Education requirements to ensure continued professional growth.

Continuing Medical Education is mandatory to maintain competence and learn about the latest changes in the healthcare field (Mlambo et al., 2021).  I will also dedicate specific time (in a month) to attending online courses and webinars relevant to family practice and community health to meet my CME requirements.  I want to attend at least one large nursing conference annually, and this will offer the necessary face-to-face learning opportunities and networking opportunities.  I will subscribe to reputable nursing journals and ensure regular reading to keep pace with the latest findings and best practices.  Participation in local health department workshops will supplement my community-specific knowledge, enhancing my ability to effectively respond to local health needs.  I will record and monitor my CME hours using a digital CME monitoring application.  I want to exceed the minimum requirements of CME, thus enabling continuous professional growth and maximizing the quality of patient care.

Professional Organizations

I want to join the American Association of Nurse Practitioners (AANP) to get all-round professional support.

National Association of Community Health Centres membership would enhance my specialized knowledge.

I will network with the local branch of the State Nurses Association.

Such organizations will allow accessing the necessary materials, such as publications and practice recommendations.

Membership in professional bodies will offer a chance for leadership and advocacy roles.

Benefits of membership such as discounted CME activities and professional liability insurance options.

It is essential to be a member of professional nursing organizations to progress in the career and to stay in contact with the rest of the nursing community.  I am interested in becoming a member of the American Association of Nurse Practitioners (AANP), which will grant me much support as a family nurse practitioner.  To gain specialized knowledge in community health, I will also join the National Association of Community Health Centres since I am interested in community health.  Besides, participation in the local chapter of the State Nurses Association will offer excellent networking opportunities with colleagues in my area.  Such organizations provide numerous benefits, such as accessing modern research through professional publications, recommendations on current practices, and specialized resources.  They offer spaces to develop as leaders and advocates, which will allow me to contribute to the development of the nursing profession.  Its practical benefits are fewer CME opportunities and access to professional liability insurance options, which are crucial to my work.  I want to develop professionally and help the nursing community through active participation in these organizations.

Maintaining Collaborative Relationships

I will schedule regular meetings with the team of specialists I will work with to discuss complex scenarios.

Participation in multidisciplinary team meetings will foster long-lasting professional relationships.

I want the open-door policy to be used in communicating with other nurse practitioners.

The use of encrypted messaging solutions will improve communication with referral experts.

Attending local medical society events will help build and maintain a professional network.

I will be self-motivated to seek and offer positive feedback to improve teamwork.

Establishing strong collaborative partnerships is the key to high-quality patient care and professional growth (Wei et al., 2020).  I want to apply numerous methods to achieve this.  I will organize regular meetings with doctors to discuss complex cases and seek help when needed.  This will ensure continuity of service and build good professional relationships.  Participation in the multidisciplinary team meetings will help me to present my experience and receive suggestions from other healthcare workers, thus improving our interdisciplinary approach to patient care.  I want an open-door policy regarding consultation with other nurse practitioners and to develop a culture of peer support and information sharing.  To improve efficient communication with referral professionals, I will employ encrypted messaging systems, which will ensure that there are timely and precise transfers of patient data.  Attending the events of the local medical society will help me expand and maintain my professional network and connect me to the local healthcare community.  Lastly, I will actively find and offer positive feedback to my teammates, as such mutual assistance will boost our overall work and ultimately improve patient outcomes.  By applying these methods, I want to build a robust system of professional connections that would enhance my practice and improve patient care.

Job Offer Considerations

I will research the specific patient population and the expected number of patients per day.

Understanding the clinic’s electronic health record system and technical support is vital.

I will inquire about the organization’s professional development and promotion opportunities.

It is essential to explain the level of autonomy and the structure of the common agreement.

I would like to know the clinic’s work-life and schedule flexibility policy.

Information about the organization’s purpose, beliefs, and long-term goals will help me make decisions.

In the process of
assessing a job offer
, one needs to possess adequate information to be able to make an informed conclusion.  The first question I will ask is what the exact patient demographic I will be dealing with is and the expected number of patients per day, as this will significantly affect my working experience.  It is also necessary to understand the electronic health record system of the clinic and the technical support offered, as these tools significantly impact the efficiency of work.  I will also ask questions regarding future professional development and advancement in the organization and make sure that the position aligns with my career goals in the long-term perspective.  It is essential to realize how much autonomy I will have and how the collaboration agreement with doctors will be organized to understand my role and duties.  I want to clarify the clinic’s regulations concerning work-life balance and schedule flexibility, as these are the key factors of job satisfaction and avoiding burnout.  Lastly, I will research the organization’s purpose, values, and long-term goals to determine whether they align with my personal and professional ethics.  Considering such crucial aspects, I will be able to determine whether the job fits my ideal practice setting and career goals.

Salary and Bonus Structure

I will explore the pay scales of family nurse practitioners in urban community health settings.

The suitable pay scale for my qualification is between 90,000 and 110,000 dollars annually.

I prefer a quality-based reward system over a patient-based reward system.

The chances of increased compensation based on performance and additional certifications are also great.

I will consider the proposal, including the entire salary package and perks.

Understanding how often compensation is reviewed and why it is raised is necessary.

When negotiating pay and bonuses, it is imperative to have a thorough knowledge of market rates and personal worth.  I have explored the wage scales of family nurse practitioners in the setting of urban community health, considering such variables as location, experience, and specialized competencies.  Based on my research and qualifications, a fair range of base wages in my field of expertise is between 90,000 and 110,000 annually.  I prefer a quality-based incentive system over one that relies on the number of patients because it better shows my commitment to providing high-quality patient-centered care.  I am also keen on a compensation increase based on performance and additional qualifications, which promotes continuous professional development.  When evaluating the offer, I will consider the entire remuneration package, including perks, as they might significantly impact the offer’s overall value.  Understanding how often the compensation is reviewed and how it can be increased is the key to long-term financial planning and career development.  By expressing these preferences and understanding the entire remuneration package, I can determine whether the offer aligns with my professional worth and career goals.

On-Call Compensation

10-15 percent of the basic income is a reasonable compensation for on-call duties.

The frequency and the duration of the on-call shifts should be clearly stated in the contract.

I prefer a mix of weekday and weekend on-calls to have a fair distribution.

Pay should differentiate between availability on call and active working hours.

Effective recovery following night shifts is essential for maintaining the quality of care.

I will discuss options for sharing on-call duties among a group of providers.

On-call remuneration is a significant part of the employment package, especially in a community health setting where after-hours care is necessary.  Based on the industry standards and job needs, an on-call duty should be paid 10-15 percent of the basic salary.  The contract must clearly outline the frequency and duration of on-call shifts to create fair expectations.  I would promote a mixture of weekday and weekend on-call shifts to ensure a fair distribution of responsibilities.  Remuneration of on-call availability must be separated from active work time during such shifts, and a premium rate should be paid on time spent actively treating patients.  Sufficient rest following night calls is also essential in maintaining the quality of care and personal well-being; therefore, I will cover rules regarding time off following exceptionally demanding on-call shifts.  I would also like to explore the options of sharing on-call duties among clinicians to prevent burnout and ensure that patient care is of high quality at all times.  With a clear discussion of these on-call duties and compensation aspects, we can develop a fair and sustainable contract that will benefit both the practice and the providers.

Benefits Negotiation

Health insurance is an essential requirement, preferably dental and vision.

I will negotiate a retirement plan that the company matches.

Paid vacation, sick, and professional development leave are essential.

The benefits package should include professional liability insurance coverage.

Negotiating the Nurse Practitioner Employment Contract Assignment

I will research options for tuition reimbursement or support of additional certificates.

Flexible spending in healthcare and dependent care are beneficial additions. According to (Jones & Burns, 2021), the first stage was the beginning of the world’s end.

When negotiating benefits, it is essential to consider immediate necessity and long-term financial security.  My priority is broad health insurance coverage and dental and eye care to ensure my health needs are addressed as I help others.  A retirement plan with matching contributions employer contributions is key to long-term financial planning and a demonstration of the organization’s interest in the future of its employees.  Sufficient vacation, sick, and career development compensated leave are essential in maintaining work-life balance and continuous education.  Since healthcare employment is not an exception, professional liability insurance coverage is one of the benefits that should be part of the compensation package.  I would also like to investigate the possibilities of tuition reimbursement or support to obtain more certificates, as this aligns with my commitment to ongoing professional development.  Finally, flexible spending accounts for healthcare and dependent care have significant tax advantages and help cover out-of-pocket expenses.  I want to negotiate a comprehensive package that supports my professional activities and personal well-being, increasing long-term job satisfaction and commitment to the company.

Practice Expectations and Scope

I will request a detailed job description consisting of the tasks and responsibilities.

Explanation of the patient load and the duration of appointments is necessary to provide the best service.

I will look into the level of autonomy in decision-making and the authority to prescribe.

It is necessary to understand the referral process and connections with specialists.

I want to clarify the requirements for community engagement and health education initiatives.

Frequent performance reviews should be done to ensure that they align with the practice’s goals.

It is necessary to align the expectations of the practice with my scope of practice as a family nurse practitioner to comply with the law and be satisfied with the work.  I will need a
detailed work description that spells out specific activities and duties
that I will perform to ensure that all the expected duties are within my scope of practice.  There should be an explanation regarding the anticipated number of patients and the duration of their appointment, as it will determine the extent of care I can offer.  I will discuss my autonomy in decision-making and prescribing, ensuring that I am still within the state rules and my training.  Understanding the referral procedure and relationships with specialists is necessary to provide comprehensive treatment (Seyed-Nezhad et al., 2021).  I would like to know how I am expected to participate in community outreach and health education activities, as I can significantly contribute to those areas.  Frequent performance reviews should be organized to align with the practice goals and address any scope of practice concerns arising.  By covering these aspects in detail, I will ensure that my work is clearly expressed and aligned with my credentials, allowing me to apply my expertise to the fullest, thus benefitting both the patients and the healthcare institution.

References

Jones, K., & Burns, A. (2021). 
Costs of Health and Social Care 2021
. https://kar.kent.ac.uk/92342/25/Unit%20Costs%20Report%202021%20-%20Final%20version%20for%20publication%20%28AMENDED2%29.pdf

Mlambo, M., Silén, C., & McGrath, C. (2021). Lifelong learning and nurses’ continuing professional development, a metasynthesis of the literature. 
BMC Nursing
, 
20
(62), 1–13. https://bmcnurs.biomedcentral.com/articles/10.1186/s12912-021-00579-2

Seyed-Nezhad, M., Ahmadi, B., & Akbari-Sari, A. (2021). Factors affecting the successful implementation of the referral system: A scoping review. 
Journal of Family Medicine and Primary Care
, 
10
(12), 4364–4375. https://doi.org/10.4103/jfmpc.jfmpc_514_21

Wei, H., Corbett, R. W., Ray, J., & Wei, T. L. (2020). A culture of caring: the essence of healthcare interprofessional collaboration. 
Journal of Interprofessional Care
, 
34
(3), 1–8. https://doi.org/10.1080/13561820.2019.1641476 Negotiating the Nurse Practitioner Employment Contract Assignment

Quadruple Aim and EBP in nursing and healthcare- Evidence-Based Practice and the Quadruple Aim

Kindly write an analysis(no longer 2 pages) of the connection between EBP and the Quadruple Aim. Your analysis should address how EBP might(or might not) help reach the Quadruple Aim, including each of the four measures of:

– Patient experience

– Population health

– Costs

– Work life if healthcare providers

Please include an introduction, a purpose, a body, a conclusion, and references.

 

Evidence-Based Practice and the Quadruple Aim

 

Student’s Name

Institution

Course Number and Name

Course Instructor’s Name and Title

Assignment’s Due Date

 

Evidence-Based Practice and the Quadruple Aim – Quadruple Aim and EBP in nursing and healthcare

Evidence-Based Practice (EBP) is a method of making decisions in healthcare by using the best current research, clinical expertise, and patient values. EBP has become more important in modern healthcare systems as a way to improve the quality of care and reduce harm. One important framework used to guide improvement in healthcare is the Quadruple Aim. This model includes four goals: improving patient experience, improving population health, reducing healthcare costs, and improving the work life of healthcare providers. Understanding
how EBP connects with these four aims
is important to evaluate its value in healthcare today.

EBP has a strong connection to improving patient experience. When healthcare providers use evidence-based guidelines and treatments, patients receive care that is safer, more effective, and more appropriate. This results in fewer medical errors, shorter hospital stays, and more satisfaction with care. According to Sikka et al. (2015), safe and reliable care helps build trust between patients and providers, leading to better communication and better patient engagement. Patients also feel more respected when their care includes shared decision-making, which is a key part of EBP. This helps them feel like active partners in their health, improving their experience with the healthcare system Quadruple Aim and EBP in nursing and healthcare.

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Population health is also improved by the use of EBP. This is because evidence-based interventions are developed through research that often focuses on large groups of people. These interventions are then applied to reduce illness, promote wellness, and manage chronic conditions more effectively. Public health efforts guided by EBP, such as vaccination programs or diabetes management plans, can reach many people and lead to better health outcomes across communities. Crabtree et al. (2016) explain that EBP helps healthcare teams design programs based on proven results, which leads to healthier populations and fewer health disparities.

Reducing healthcare costs is another
important part of the Quadruple Aim,
and EBP can support this goal in several ways. When healthcare providers follow evidence-based guidelines, they avoid using treatments or tests that are not helpful. This reduces waste and prevents costly complications. Also, EBP helps reduce hospital readmissions and emergency visits by improving the quality of care from the beginning. Kim et al. (2016) found that using EBP not only improved patient outcomes but also lowered the cost of care by making treatment more efficient. When care is guided by strong evidence, money is used wisely, and patients still receive the best treatment.

The final goal of the Quadruple Aim is to improve the work life of healthcare providers. This includes reducing stress, avoiding burnout, and helping staff feel supported and confident. EBP can support this by giving providers clear, up-to-date information to guide decisions. This helps reduce uncertainty and moral distress. Sikka et al. (2015) emphasize that meaningful work is part of the provider experience, and using EBP can help providers feel they are making a positive difference. When teams work together to apply evidence-based guidelines, it also creates a culture of learning and respect, which makes the workplace more supportive.

In conclusion, EBP plays an important role in helping healthcare systems achieve the goals of the Quadruple Aim. It improves patient experience by making care safer and more personalized. It improves population health by promoting interventions that work for large groups. It reduces healthcare costs by preventing unnecessary care and complications. It supports healthcare providers by reducing stress and increasing confidence in their work. Although there are still barriers to full EBP use, such as lack of time and resources, the benefits are clear.
Using EBP is one of the best ways to improve healthcare
for everyone. Quadruple Aim and EBP in nursing and healthcare

 

References

Crabtree, E., Brennan, E., Davis, A., & Coyle, A. (2016). Improving patient care through nursing engagement in evidence-based practice. Worldviews on Evidence Based Nursing, 13 (2), 172-175. https://doi.org/10.1111/wvn.12126

Kim, S. C., Stichler, J. F., Ecoff, L., Brown, C. E., Gallo, A.-M., & Davidson, J. E. (2016). Predictors of evidence-based practice implementation, job satisfaction, and group cohesion among regional fellowship program participants. Worldviews on Evidence-Based Nursing, 13 (5), 340-348. https://doi.org/10.1111/wvn.12171

Sikka, R., Morath, J. M., & Leape, L. (2015). The Quadruple Aim: Care, health, cost and meaning in work . BMJ Quality & Safety, 24, 608-610. https://doi.org/10.1136/bmjqs-2015-004160 Quadruple Aim and EBP in nursing and healthcare

Advanced Pharmacology: Cardiovascular System and Drug Therapy Considerations

Pharmacology is essential for helping patients by adjusting their medications based on their individual needs. Since the cardiovascular system is involved in many vital functions, it is susceptible to medications. You need to know the differences between how the body handles drugs and how drugs work on the body to make sound clinical decisions. In Week 2, we look into cardiovascular pharmacology, paying attention to common prescription errors, how drugs are metabolized, CYP enzyme interactions, the first-pass effect, and strategies for treating patients individually. This paper explains advanced pharmacology using clinical cases to show how it treats hypertension, hyperlipidemia, and cardiovascular risk factors.

SCENARIO 1: Prescription Errors, Mechanisms of Action, and Corrections

Hyzaar (Losartan/Hydrochlorothiazide)

The original prescription lacked clarity in formatting, which may lead to errors in dispensing.

Corrected Prescription:

Losartan 50 mg/hydrochlorothiazide 25 mg PO daily.

Mechanism of Action

Losartan is an angiotensin II receptor blocker (ARB) that stops angiotensin II from binding to its receptors, which results in a widening of blood vessels and less aldosterone being released (Whelton et al., 2022). By working in the distal convoluted tubules, hydrochlorothiazide decreases sodium reabsorption, which results in increased urination and less blood in the veins. Many doctors recommend this combination for treating hypertension, mainly when patients need more than one antihypertensive medicine. Advanced Pharmacology: Cardiovascular System and Drug Therapy Considerations

Lotrel (Amlodipine/Lisinopril)

The first prescription was wrong because it included lisinopril instead of benazepril. The revised version should list the drugs in a suitable combination.

Corrected Prescription:

Amlodipine 5 mg/lisinopril 40 mg PO daily (as a custom combination).

Mechanism of Action

Amlodipine, a type of calcium channel blocker (CCB), prevents calcium from entering the vascular smooth muscle, which leads to the widening of blood vessels and reduced blood pressure (Carey et al., 2021). Lisinopril, an ACE inhibitor, stops the change of angiotensin I to angiotensin II, which results in less vasoconstriction and less sodium in the body, helping the heart.

Hydralazine

The original prescription had a mistake in the spelling (“hydralazine”) and advised the patient to take medicine four times a day, which is not usually recommended because it is hard for patients to manage.

Corrected Prescription:

Hydralazine 25 mg PO TID.

Mechanism of Action

Hydralazine acts directly on arteries, relaxing their muscles by boosting nitric oxide and reducing the resistance in the blood vessels (Ungar et al., 2023). Since hydralazine can cause reflex tachycardia, beta-blockers are usually given together with hydralazine.

Digoxin

At the start, the prescription gave a dose of 1.25 mg, which is much higher than what is usually prescribed for heart failure.

Corrected Prescription:

Digoxin 0.125 mg PO daily.

Mechanism of Action

Digoxin blocks Na⁺/K⁺ ATPase, which raises the calcium level inside the cells and improves the heart’s ability to contract and the activity of the vagus nerve (Zhao et al., 2022). Because the therapeutic range is very narrow, it is important to monitor the drug levels in the blood to prevent nausea, problems with the heart, and visual disturbances.

Repatha (Evolocumab)

The route of administration was incorrect—Repatha is a subcutaneous (SC) injection, not an intravenous (IV).

Corrected Prescription

Repatha 140 mg SC every 2 weeks.

Mechanism of Action

Taking evolocumab as a PCSK9 inhibitor, the LDL receptor is not degraded, which results in improved clearance of LDL and lower LDL-C levels (Ference et al., 2021). This medicine is most helpful for people who have familial hypercholesterolemia or who cannot tolerate statins.

SCENARIO 2: Fentanyl’s First-Pass Effect and Bioavailability

Fentanyl exhibits high first-pass metabolism when taken orally, leading to reduced systemic availability due to extensive hepatic metabolism by CYP3A4 enzymes (Alshabi et al., 2021).

Best Route for 100% Bioavailability:

IV administration bypasses first-pass metabolism, ensuring 100% bioavailability with rapid onset of analgesia.

Alternative Administration Routes

As hepatic metabolism can be a problem, fentanyl may be given through the skin or by mouth (Gupta et al., 2022). Patches, lozenges, and tablets for the mouth send the drug straight into the bloodstream and prevent a lot of drug breakdown.

Sample Prescription:

Fentanyl 100 mcg/hour transdermal patch, apply every 72 hours.

SCENARIO 3: Cytochrome P450 and Drug Metabolism

CYP Enzyme Location and Function

Cytochrome P450 (CYP) enzymes are primarily in the liver within the smooth endoplasmic reticulum, facilitating drug metabolism (Rendic & Guengerich, 2022).

Medication Identification and Metabolism

The pill imprint 292 shows that the medicine is Verapamil 120 mg ER, a type of calcium channel blocker. The CYP3A4 enzyme processes Verapamil and blocks its activity, which causes an increase in the plasma levels of drugs given with Verapamil (Urs & Reddy, 2021).

Sample Prescription:

Verapamil 120 mg ER PO daily.

SCENARIO 4: Hyperlipidemia in an Obese Patient

DL, a 48-year-old male, presents with LDL (165 mg/dL), HDL (41 mg/dL), total cholesterol (245 mg/dL), and triglycerides (175 mg/dL). His BMI (31.9 kg/m²) categorizes him as obese, posing a substantial risk for atherosclerotic cardiovascular disease (ASCVD) (Grundy et al., 2022).

Treatment Plan

High-intensity statin therapy with atorvastatin 40 mg PO daily is recommended for his elevated LDL and CAD risk factors (Stone et al., 2022).

Smoking Cessation and Lifestyle Modifications

It is very important to provide smoking cessation counseling because it helps reduce cardiovascular risk (Bhatnagar et al., 2022). DL should be given advice on what to eat and how to exercise to improve their lipid levels. Advanced Pharmacology: Cardiovascular System and Drug Therapy Considerations

Sample Prescription:

Atorvastatin 40 mg PO daily at bedtime.

Conclusion

The study examined the advanced aspects of pharmacology concerning the cardiovascular system, emphasizing paying attention to details in prescriptions, the movement of drugs in the body, their effects, and making the right clinical choices. When drug metabolism, first-pass effects, and monitoring are understood, patients can enjoy better outcomes, proving the importance of careful medical care.

 

References

Alshabi, A. M., Alzarea, S. I., & Alanazi, A. S. (2021). Pharmacokinetics and clinical use of fentanyl in acute pain management: A review. Journal of Pain Research, 14, 1553-1560.
https://doi.org/10.2147/JPR.S314183

Bhatnagar, A., Whitsel, L. P., Ribisl, K. M., & Benowitz, N. L. (2022). Smoking cessation interventions and cardiovascular outcomes. Circulation, 145(12), e36-e52.
https://doi.org/10.1161/CIR.0000000000001056

Carey, R. M., Whelton, P. K., & 2017 ACC/AHA Hypertension Guideline Writing Committee*. (2021). Prevention, detection, evaluation, and management of high blood pressure in adults: synopsis of the 2017 American College of Cardiology/American Heart Association Hypertension Guideline. 
Annals of Internal Medicine
, 
168
(5), 351–358.

Ference, B. A., Kastelein, J. J. P., & Ginsberg, H. N. (2021). PCSK9 inhibitors and reduction of cardiovascular events. The New England Journal of Medicine, 385(23), 2069-2081.
https://doi.org/10.1056/NEJMoa2104840

Grundy, S. M., Stone, N. J., & Blumenthal, R. S. (2022). 2022 ACC/AHA guideline on managing blood cholesterol. Circulation, 146(24), e236-e269.
https://doi.org/10.1161/CIR.0000000000001055

Gupta, A., Kaleekal, T., & Jain, R. (2022). Pharmacokinetics and bioavailability of transdermal fentanyl. Pain Practice, 22(1), 89–95.
https://doi.org/10.1111/papr.13025

Li, X., Zhou, X., & Zhang, Y. (2023). Role of cytochrome P450 3A4 in drug-drug interactions: Clinical significance and prevention. Therapeutic Advances in Drug Safety, 14, 204209862311729.
https://doi.org/10.1177/20420986231172954

Rendic, S., & Guengerich, F. P. (2022). Human cytochrome P450 enzymes 2022 update: Metabolism of drugs and other xenobiotics. Drug Metabolism Reviews, 54(1), 1–105.
https://doi.org/10.1080/03602532.2022.2058571

Stone, N. J., Lloyd-Jones, D. M., & Robinson, J. G. (2022). Statin therapy in the prevention and treatment of cardiovascular disease. JAMA, 327(23), 2290-2300.
https://doi.org/10.1001/jama.2022.7837

Ungar, A., Angeli, F., & Marchionni, N. (2023). The evolving role of hydralazine in hypertensive therapy. European Journal of Internal Medicine, 111, 50-56.
https://doi.org/10.1016/j.ejim.2022.10.007

Yours, N., & Reddy, D. S. (2021). Pharmacokinetic drug interactions of calcium channel blockers: Focus on CYP3A and P-gp interactions. Pharmaceuticals, 14(1), 56.
https://doi.org/10.3390/ph14010056

Wang, Y., Xu, J., & Zhang, L. (2021). Efficacy and safety concerns of red yeast rice supplements. Frontiers in Pharmacology, 12, 698438.
https://doi.org/10.3389/fphar.2021.698438

Whelton, P. K., Carey, R. M., & Aronow, W. S. (2022). Management of hypertension in adults: 2022 practice guidelines. Hypertension, 79(4), e15-e75.
https://doi.org/10.1161/HYP.0000000000000202

Zhao, D., Li, M., & Yang, Q. (2022). Digoxin in heart failure: A double-edged sword. Journal of Cardiovascular Pharmacology, 79(1), 1–9.
https://doi.org/10.1097/FJC.0000000000001170 
  Advanced Pharmacology: Cardiovascular System and Drug Therapy Considerations