Year: 2021
Type: review
Study design: Study Protocol
Abstract: INTRODUCTION: A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. METHODS AND ANALYSIS: Databases including the PubMed, PsycINFO, CINAHL and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between 1 January 2010 to 30 September 2021. Titles, abstracts and full-text papers will be reviewed against the eligibility criteria. The Cochrane Collaboration evaluation framework will be adopted to examine the risk of bias of the included study. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process and implications for existing interventions and research evaluated by a multidisciplinary research team. ETHICS AND DISSEMINATION: As the study is a protocol for a systematic review, ethical approval is not required. The study findings will be disseminated via peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: CRD 42020191880.
Source: BMJ Open
Institutions: The University of Texas at San Antonio Health Science Center, Mays Cancer Center at UT Health San Antonio, University of Rochester Medicine, University of Rochester, Institute of Technology Carlow, The University of Texas Health Science Center at Houston, Beijing Normal-Hong Kong Baptist University, Terasaki Foundation, University of Nottingham Ningbo China, Universidade Federal do Paraná, Chinese University of Hong Kong, Education University of Hong Kong, Florida State University, China National Health Development Research Center, National Health Commission of the People's Republic of China
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,839
OpenAlex ID: W3217685289