Effectiveness of interventions for people living with dementia and their carers in Chinese communities: protocol for a systematic review and meta-analysis of randomised controlled trials.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
17 08 2021
Historique:
entrez: 18 8 2021
pubmed: 19 8 2021
medline: 28 8 2021
Statut: epublish

Résumé

As the largest and most rapidly ageing population, Chinese people are now the major driver of the continued growth in dementia prevalence globally. The need for evidence-based interventions in Chinese communities is urgent. Although a wide range of pharmacological and non-pharmacological interventions for dementia have been trialled in Chinese populations, the evidence has not been systematically synthesised. This systematic review and meta-analysis aims to map out the interventions for people living with dementia and their carers in Chinese communities worldwide and compare the effectiveness of these interventions. This protocol followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols checklist. We will search Chinese (China National Knowledge Infrastructure, WanFang DATA) and English bibliographical databases (MEDLINE, EMBASE, PsycINFO, CINAHL Plus, Global Health, WHO Global Index Medicus, Virtual Health Library, Cochrane CENTRAL, Social Care Online, BASE, MODelling Outcome and cost impacts of interventions for DEMentia (MODEM) Toolkit, Cochrane Database of Systematic Reviews), complemented by hand searching of reference lists. We will include studies evaluating the effectiveness of interventions for dementia or mild cognitive impairment in Chinese populations, using a randomised controlled trial design, and published between January 2008 and June 2020. We will use a standardised form to extract data and Version 2 of the Cochrane risk-of-bias tool for randomised trials to assess the risk of bias of the included studies. Collected data will be fully interpreted with narrative synthesis and analysed using pairwise and network meta-analyses to pool intervention effects where sufficient information is available. We will perform subgroup analysis and meta-regression to explore potential reasons for heterogeneity. No formal ethics approval is required for this protocol. The findings will facilitate the development of studies on interventions for dementia and timely inform dementia policymaking and practice. Planned dissemination channels include peer-reviewed publications, conference presentations, public events and websites. CRD42019134135.

Identifiants

pubmed: 34404702
pii: bmjopen-2020-047560
doi: 10.1136/bmjopen-2020-047560
pmc: PMC8372806
doi:

Types de publication

Clinical Trial Protocol Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e047560

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Cheng Shi (C)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.
Center for Social Welfare Studies, Beijing Normal University, Beijing, China.

Shuangzhou Chen (S)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Maximilian Salcher-Konrad (M)

Care Policy and Evaluation Centre (CPEC), London School of Economics and Political Science, London, UK.

Jacky C P Choy (JCP)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Hao Luo (H)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Dara Kiu Yi Leung (DKY)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Xinxin Cai (X)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Yue Zeng (Y)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.

Ruizhi Dai (R)

Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China.

Adelina Comas-Herrera (A)

Care Policy and Evaluation Centre (CPEC), London School of Economics and Political Science, London, UK.

David McDaid (D)

Care Policy and Evaluation Centre (CPEC), London School of Economics and Political Science, London, UK.

Martin Knapp (M)

Care Policy and Evaluation Centre (CPEC), London School of Economics and Political Science, London, UK.

Gloria Wong (G)

Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China ghywong@hku.hk.

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