A Methodological Quality Evaluation of Meta-Analyses on Nursing Home Research: Overview and Suggestions for Future Directions
- 주제(키워드) meta-analysis , nursing homes , evidence practiced nursing
- 주제(기타) Environmental Sciences
- 주제(기타) Public, Environmental & Occupational Health
- 설명문(일반) [Shin, In-Soo] Dongkuk Univ, Grad Sch Educ, Seoul 04620, South Korea; [Shin, Juh-Hyun] Ewha Womans Univ, Coll Nursing, Seoul 03760, South Korea; [Jang, Dong-Eun] Univ Texas Austin, Sch Nursing, Austin, TX 78712 USA; [Lee, Jiyeon] Catholic Univ Pusan, Coll Nursing, Seoul 43241, South Korea
- 등재 SCIE, SSCI, SCOPUS
- OA유형 Green Published, gold
- 발행기관 MDPI
- 발행년도 2022
- URI http://www.dcollection.net/handler/ewha/000000190096
- 본문언어 영어
- Published As https://doi.org/10.3390/ijerph19010505
- PubMed https://pubmed.ncbi.nlm.nih.gov/35010765
초록/요약
(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.
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