A Methodological Quality Evaluation of Meta-Analyses on Nursing Home Research: Overview and Suggestions for Future Directions

In-Soo Shin, Juh-Hyun Shin, Dong-Eun Jang and Jiyeon Lee
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In-Soo Shin: Graduate School of Education, Dongkuk University, Seoul 04620, Korea
Juh-Hyun Shin: College of Nursing, Ewha Womans University, Seoul 03760, Korea
Dong-Eun Jang: School of Nursing, University of Texas at Austin, Austin, TX 78712, USA
Jiyeon Lee: College of Nursing, Catholic University of Pusan, Seoul 43241, Korea

IJERPH, 2022, vol. 19, issue 1, 1-19

Abstract: (1) Background: The nursing home (NH) research field lacks quality reporting about meta-analyses (MAs), and most gradings of MA evidence are biased on analyzing the effectiveness of independent variables in randomized control trials. (2) Objectives: This study aimed to perform a critical methodological review of MAs in the NH research field. (3) Methods: We searched the articles from four databases (PubMed, MEDLINE, CINAHL, and PsycINFO) until 15th January 2021. We reviewed a total of 41 published review articles in the NH research field. (4) Results: The studies primarily fell into the following categories: medicine (17/41), nursing (7/41), and psychiatry or psychology (6/41); 36.6% of the reviewed studies did not use any validated MA guidelines. The lowest correctly reported PRISMA 2000 guideline item was protocol and registration (14.6%), and more than 50% of articles did not report risk of bias. Moreover, 78.0% of studies did not describe missing reports of effect size formula. (5) Discussion: NH researchers must follow appropriate and updated guidelines for their MAs in order to provide validated reviews, as well as consider statistical issues such as the complexity of interventions, proper grouping, and scientific effect-size calculations to improve the quality of their study. Future quality review studies should investigate more diverse studies.

Keywords: meta-analysis; nursing homes; evidence practiced nursing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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