Your browser doesn't support javascript.
Technology-based interventions for nursing home residents: a systematic review protocol.
Su, Zhaohui; Meyer, Kylie; Li, Yue; McDonnell, Dean; Joseph, Nitha Mathew; Li, Xiaoshan; Du, Yan; Advani, Shailesh; Cheshmehzangi, Ali; Ahmad, Junaid; da Veiga, Claudimar Pereira; Chung, Roger Yat-Nork; Wang, Jing; Hao, Xiaoning.
  • Su Z; School of Nursing, Center on Smart and Connected Health Technologies, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA szh@utexas.edu haoxn@nhei.cn.
  • Meyer K; School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
  • Li Y; Health Services Research & Policy (HSRP) PhD & MS Programs; Director of Research, Division of Health Policy and Outcomes Research (HPOR); Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.
  • McDonnell D; Department of Humanities, Institute of Technology Carlow, Carlow, Ireland.
  • Joseph NM; Department of Under Graduate Studies, Cizik School of Nursing, The University of Texas Health Science Center, Houston, Texas, USA.
  • Li X; Program of Public Relations and Advertising, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China.
  • Du Y; School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
  • Advani S; Terasaki Institute of Biomedical Innovation, Los Angeles, California, USA.
  • Cheshmehzangi A; Architecture and Urban Design, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang, China.
  • Ahmad J; Department of Public Health, Peshawar Medical College, Peshawar, Pakistan.
  • da Veiga CP; School of Management-PPGOLD, Federal University of Parana-UFPR, Paraná, Brazil.
  • Chung RY; School of Public Health & Primary Care, Faculty of Medicine (RY-NC) and Institute of Health Equity (RY-NC), The Chinese University of Hong Kong, Hong Kong, Hong Kong.
  • Wang J; Department of Social Sciences, Faculty of Liberal Arts and Social Sciences, The Education University of Hong Kong, Hong Kong, Hong Kong.
  • Hao X; College of Nursing, Florida State University, Tallahassee, Florida, USA.
BMJ Open ; 11(12): e056142, 2021 12 01.
Article in English | MEDLINE | ID: covidwho-1546532
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Quality of Life / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Quality of Life / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article