Improving the lives of ethnically diverse family carers and people living with dementia using digital media resources – Protocol for the Draw-Care randomised controlled trial

Author:

Thodis Antonia1,Dang Thu-Ha12ORCID,Antoniades Josefine13,Gilbert Andrew S.14,Nguyen Tuan1256,Hlis Danijela17,Gurgone Mary18910,Dow Briony1,Cooper Claudia11,Xiao Lily-Dongxia12,Wickramasinghe Nilmini2,Ulapane Nalika2,Varghese Mathew13,Loganathan Santosh14,Enticott Joanne3,Mortimer Duncan3,Brijnath Bianca115

Affiliation:

1. National Ageing Research Institute, Parkville, Australia

2. Swinburne University of Technology, Hawthorn, Australia

3. Global and Women's Health, School of Public Health and Preventive Medicine, Monash University Clayton, Australia

4. Department of General Practice, University of Melbourne, Australia

5. University of South Australia, Adelaide, Australia

6. Health Strategy and Policy Institute, Hanoi, Viet Nam

7. OPAN/NOPRG & Dementia Australia Advocate, Melbourne, Australia

8. Centre of Capability and Culture, Melbourne, Australia

9. Association of Culturally Appropriate Services (AfCAS), Melbourne, Australia

10. Perth Foundation for Women, Melbourne, Australia

11. Queen Mary University of London, London, UK

12. Flinders University, Adelaide, Australia

13. St John's Medical College, Bangalore, India

14. National Institute of Mental Health and Neurosciences, Bangalore, India

15. University of Western Australia, Perth, Australia

Abstract

Objectives Ethnically diverse family carers of people living with dementia (hereafter carers and people with dementia) experience more psychological distress than other carers. To reduce this inequality, culturally adapted, multilingual, evidence-based practical assistance is needed. This paper details the Draw-Care study protocol including a randomised control trial (RCT) to test the effectiveness of a digital intervention comprising a multilingual website, virtual assistant, animated films, and information, on the lives of carers and people with dementia in Australia. Methods The Draw-Care intervention will be evaluated in a 12-week active waitlist parallel design RCT with 194 carers from Arabic, Cantonese, Greek, Hindi, Italian, Mandarin, Spanish, Tamil, and Vietnamese-speaking language groups. Our intervention was based on the World Health Organization's (WHO) iSupport Lite online carer support messages and was co-designed with carers, people with dementia, service providers, and clinicians. Culturally adapted multilingual digital resources were created in nine languages and English. Results In Phase I (2022), six co-design workshops with stakeholders and interviews with people with dementia informed the development of the intervention which will be trialled and evaluated in Phases II and III (2023 and 2024). Conclusions Digital media content is a novel approach to providing cost-effective access to health care information. This study protocol details the three study phases including the RCT of a co-designed, culturally adapted, multilingual, digital intervention for carers and people with dementia to advance the evidence in dementia and digital healthcare research and help meet the needs of carers and people with dementia in Australia and globally.

Funder

National Health and Medical Research Council

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Reference43 articles.

1. Australian bureau of statistics. Census of population and housing: Cultural diversity data summary, 2021. TableBuilder, 2022.

2. Past and projected growth of Australia’s older migrant populations

3. Beyond crisis: Enacted sense-making among ethnic minority carers of people with dementia in Australia

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3