NR449 Evidence-Based Practice Matrix Table RUA: Analyzing Published Research – Impact of Telehealth on Mental Health

Written by

in

NR449 Evidence-Based Practice Matrix Table RUA: Analyzing Published Research – Impact of Telehealth on Mental Health

Impact of Telehealth on Mental Health

Evidence Matrix Table

 

Article

 

References

Purpose

Hypothesis

Study Question(s)

Variables

Independent(I)

Dependent(D)

Study Design

Sample

Size &

Selection

Data Collection

Methods

 

Major Finding(s)

1

(SAMPLE ARTICLE)

Smith, L. (2013).

What should I eat? A focus for those living with diabetes.
Journal of Nursing Education, 1
(4) 111-112.

How do educational support groups effect dietary modifications in patients with diabetes?

D-Dietary modifications

I-Education

Qualitative

N- 18

Convenience sample-selected from local support group in Pittsburgh, PA

Focus Groups

Support and education improved compliance with dietary modifications.

1

Mseke, E. P., Jessup, B., & Barnett, T. (2023). A systematic review of the preferences of rural and remote youth for mental health service access: Telehealth versus face-to-face consultation. The Australian journal of rural health, 31(3), 346–360. https://doi.org/10.1111/ajr.12961

 What are the key factors influencing telehealth adoption among clinicians?

How do patient demographics impact telehealth utilization and satisfaction?

What barriers hinder effective telehealth implementation in diverse healthcare settings?

 

 D- Telehealth clinical effectiveness.

I- Modalities, disciplines, outcomes, and care-settings assessed in meta-analyses

 

 Quantitative

Meta-analyses

Qualitative

 N- 225 records identified from database search.N- 4 studies were included in the review. Studies analysed in this article were done mostly in Canada.

Serach criteria using PRISMA was utilized. Two authors were involved in MMT evaluation of the studies analysed.

Youths prefer one-on-one physical meetings with healthcare providers, regardless of where they live.Some youths cite lack of privacy for Telehealth services.

2

 Snoswell, C. L., Chelberg, G., De Guzman, K. R., Haydon, H. H., Thomas, E. E., Caffery, L. J., & Smith, A. C. (2023). The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019. Journal of telemedicine and telecare, 29(9), 669–684. https://doi.org/10.1177/1357633X211022907

 How clinically effective is telehealth across various medical disciplines?

What telehealth modalities show positive outcomes in specific clinical areas?

How does telehealth effectiveness compare to conventional healthcare services?

 D- Medical disciplines

I- Clinical outcomes.

 Quantitative

Meta-analysis of systemic reviews.

 N = 4252 records identified and screened for eligibility. 38 studies were included in the study having met the required criteria. Studies selected were done across the world.

Data for the study from different sources was extracted by one author and proof chekes by another author. PRISMA criterion was employed.

 

Telehealth is interventions, across various medical disciplines, are as effective as or even more effective than traditional in-person care. The review emphasizes the need for broader clinical effectiveness studies across diverse health services.

3

 

 

 

 

 

 

 

4

 

 

 

 

 

 

 

5

 

 

 

 

 

 

 

.NR449 Evidence-Based Practice Matrix Table RUA: Analyzing Published Research – Impact of Telehealth on Mental Health

 

Discussion of the Problem

The problem focuses for the group’s work centers on investigating the comparative effectiveness of telehealth consultations versus traditional in-person consultations in enhancing mental health satisfaction among adults diagnosed with mental illness. The problem is significant due to its impact on mental health outcomes. Limited access to mental health care can lead to delayed interventions, exacerbating conditions (Bucci et al.,2019). The demand for effective mental health care is rising, underscoring the need for optimized delivery methods. Regarding the purpose of the paper, it aims to fill the knowledge gap by analyzing short-term outcomes of telehealth and in-person consultations. It seeks to guide mental health practitioners, policymakers, and stakeholders in improving services to meet the evolving needs of adults diagnosed with mental illness.

Description of Findings from the Articles

In Article 1 by Mseke et al (2023), the dependent variables include adolescent preferences, experiences, and perceptions of telepsychiatry. Independent variables involve the mode of psychiatric assessment, comparing face-to-face and video conferencing. Article 2 by Snoswell et al (2023) features diverse dependent variables across medical disciplines, assessing clinical effectiveness outcomes in telehealth interventions. Independent variables include the specific telehealth modalities and the comparison with usual care in various healthcare disciplines. In Article 1, the dependent variables include adolescent preferences, experiences, and perceptions of telepsychiatry. Independent variables involve the mode of psychiatric assessment, comparing face-to-face and video conferencing.

Article 2 features diverse dependent variables across medical disciplines, assessing clinical effectiveness outcomes in telehealth interventions. Independent variables include the specific telehealth modalities and the comparison with usual care in various healthcare disciplines. The participant demographics in Article 1 involve adolescents who received mental health care services through telepsychiatry. The article explores the experiences of five adolescents, providing insights into their preferences, perceptions, and concerns related to telepsychiatry. Article 2 does not provide specific participant demographics. However, it involves a systematic review of 38 meta-analyses covering a broad range of medical disciplines, contributing to the understanding of telehealth effectiveness across different healthcare contexts. In article 1 the focus is on qualitative data, exploring adolescents’ experiences with telepsychiatry. Reliability and validity information for specific instruments is not provided. Article 2  synthesizes findings from various studies, and therefore, reliability and validity are attributed to the included meta-analyses’ methodologies and measures.

Evidence to Support Clinical Problem

The research findings in Article 2 contribute valuable insights into the efficacy of telemental health, supporting its overall effectiveness compared to in-person care. The research findings in Article 1 highlight adolescents’ generally positive experiences with telepsychiatry, emphasizing its convenience and acceptance. However, some expressed preferences for face-to-face interactions. Further evidence could explore nuanced aspects, like the impact on rapport building and nuances affecting preference variations. Article 2 provides extensive evidence supporting telehealth’s clinical effectiveness across various disciplines, including mental health. This supports telehealth’s viability but doesn’t delve deeply into challenges (Shigekawa et al., 2018). Additional research is needed to comprehensively understand the challenges in implementing telehealth in mental health settings, considering patient preferences, technological barriers, and potential limitations in therapeutic relationships.

Conclusion

The major findings from the reviewed articles support the potential clinical effectiveness of telehealth in mental health care. The systematic review on telehealth’s clinical effectiveness highlights its positive impact across diverse clinical domains. Another study delves into the preferences of rural youth, emphasizing the importance of understanding user perspectives. These findings contribute to addressing the comparative effectiveness question posed in the problem statement. The research strategy meticulously employed PubMed, PsycINFO, CINAHL, and Cochrane Library, aligning with the PICOT question’s components. As mental health care evolves with telehealth integration, the synthesis of evidence aims to guide practitioners and policymakers. It prompts contemplation on optimizing mental health services to meet the dynamic needs of the population NR449 Evidence-Based Practice Matrix Table RUA: Analyzing Published Research – Impact of Telehealth on Mental Health.

References

Bucci, S., Schwannauer, M., & Berry, N. (2019). The digital revolution and its impact on mental health care. Psychology and psychotherapy, 92(2), 277–297.
https://doi.org/10.1111/papt.12222

Mseke, E. P., Jessup, B., & Barnett, T. (2023). A systematic review of the preferences of rural and remote youth for mental health service access: Telehealth versus face-to-face consultation. The Australian journal of rural health, 31(3), 346–360. https://doi.org/10.1111/ajr.12961

Bulkes, N. Z., Davis, K., Kay, B., & Riemann, B. C. (2022). Comparing efficacy of telehealth to in-person mental health care in intensive-treatment-seeking adults. Journal of psychiatric research, 145, 347–352. https://doi.org/10.1016/j.jpsychires.2021.11.003

Shigekawa, E., Fix, M., Corbett, G., Roby, D. H., & Coffman, J. (2018). The Current State Of Telehealth Evidence: A Rapid Review. Health affairs (Project Hope), 37(12), 1975–1982. https://doi.org/10.1377/hlthaff.2018.05132Sugarman, D. E., & Busch, A. B. (2023). Telemental health for clinical assessment and treatment. bmj, 380.
https://doi.org/10.1136/bmj-2022-072398

Snoswell, C. L., Chelberg, G., De Guzman, K. R., Haydon, H. H., Thomas, E. E., Caffery, L. J., & Smith, A. C. (2023). The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019. Journal of telemedicine and telecare, 29(9), 669–684. https://doi.org/10.1177/1357633X211022907

Sugarman, D. E., & Busch, A. B. (2023). Telemental health for clinical assessment and treatment. BMJ (Clinical research ed.), 380, e072398. https://doi.org/10.1136/bmj-2022-072398 NR449 Evidence-Based Practice Matrix Table RUA: Analyzing Published Research – Impact of Telehealth on Mental Health

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *