Literature DB >> 33759787

Community-Integrated Intermediary Care (CIIC) Service Model to Enhance Family-Based, Long-Term Care for Older People: Protocol for a Cluster Randomized Controlled Trial in Thailand.

Myo Nyein Aung1, Saiyud Moolphate2, Motoyuki Yuasa3,4, Thin Nyein Nyein Aung4, Yuka Koyanagi5, Siripen Supakankunti6, Ishtiaq Ahmad4, Ryoma Kayano7, Paul Ong7.   

Abstract

BACKGROUND: Thailand is one of the most rapidly aging countries in Asia. Traditional family-based care, which has been the basis of most care for older people, is becoming unsustainable as families become smaller. In addition, women tend to be adversely affected as they still form the bulk of caregivers for older people, and many are likely to exit the labor market in order to provide care. Many family caregivers also have no or minimal training, and they may be called upon to provide quite complex care, increasing the proportion of older people receiving suboptimal care if they rely only on informal care that is provided by families and friends. Facing the increasing burden of noncommunicable diseases and age-related morbidity, Thai communities are increasingly in need of community-integrated care models for older persons that can link existing health systems and reduce the burden upon caring families. This need is common to many countries in the Association of Southeast Asian Nations (ASEAN).
OBJECTIVE: In this study, we aimed to assess the effectiveness of a community-integrated intermediary care (CIIC) model to enhance family-based care for older people.
METHODS: This paper describes a cluster randomized controlled trial comprised of 6 intervention clusters and 6 control clusters that aim to recruit 2000 participants in each arm. This research protocol has been approved by the World Health Organization Ethics Review Committee. The intervention clusters will receive an integrated model of care structured around (1) a community respite service, (2) the strengthening of family care capacity, and (3) an exercise program that aims to prevent entry into long-term care for older people. Control group clusters receive usual care (ie, the current system of long-term care common to all provinces in Thailand), consisting principally of a volunteer-assisted home care service. The trial will be conducted over a period of 2 years. The primary outcome is family caregiver burden measured at a 6-month follow-up, as measured by the Caregiver Burden Inventory. Secondary outcomes consist of biopsychosocial indicators including functional ability, as measured using an activity of daily living scale; depression, as measured by the Geriatric Depression Scale; and quality of life of older people, as measured by the EuroQol 5-dimensions 5-levels scale. Intention-to-treat analysis will be followed.
RESULTS: The CIIC facility has been established. Community care prevention programs have been launched at the intervention clusters. Family caregivers are receiving training and assistance. However, the COVID-19 pandemic delayed the intervention.
CONCLUSIONS: Since ASEAN and many Asian countries share similar traditional family-based, long-term care systems, the proposed CIIC model and the protocol for its implementation and evaluation may benefit other countries wishing to adopt similar community-integrated care models for older people at risk of needing long-term care. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20190412004; http://www.thaiclinicaltrials.org/. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/20196. ©Myo Nyein Aung, Saiyud Moolphate, Motoyuki Yuasa, Thin Nyein Nyein Aung, Yuka Koyanagi, Siripen Supakankunti, Ishtiaq Ahmad, Ryoma Kayano, Paul Ong. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.03.2021.

Entities:  

Keywords:  Asia; aging; care prevention; health promotion; implementation research; long-term care

Year:  2021        PMID: 33759787     DOI: 10.2196/20196

Source DB:  PubMed          Journal:  JMIR Res Protoc        ISSN: 1929-0748


  6 in total

1.  Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot.

Authors:  Chisaki Miura; Sinan Chen; Sachio Saiki; Masahide Nakamura; Kiyoshi Yasuda
Journal:  Sensors (Basel)       Date:  2022-05-18       Impact factor: 3.847

2.  Thai Older People's Willingness (Intention) to Participate in a Care Prevention, Community Group Exercise Program: An Assessment before Implementing an Intervention Trial in Chiang Mai, Northern Thailand.

Authors:  Thin Nyein Nyein Aung; Myo Nyein Aung; Saiyud Moolphate; Yuka Koyanagi; Nadila Mulati; Siripen Supakankunti; Motoyuki Yuasa
Journal:  Int J Environ Res Public Health       Date:  2021-04-12       Impact factor: 3.390

3.  Depression and Associated Factors among Community-Dwelling Thai Older Adults in Northern Thailand: The Relationship between History of Fall and Geriatric Depression.

Authors:  Thin Nyein Nyein Aung; Saiyud Moolphate; Yuka Koyanagi; Chaisiri Angkurawaranon; Siripen Supakankunti; Motoyuki Yuasa; Myo Nyein Aung
Journal:  Int J Environ Res Public Health       Date:  2022-08-25       Impact factor: 4.614

4.  Determinants of Health-Related Quality of Life Among Community-Dwelling Thai Older Adults in Chiang Mai, Northern Thailand.

Authors:  Thin Nyein Nyein Aung; Saiyud Moolphate; Yuka Koyanagi; Chaisiri Angkurawaranon; Siripen Supakankunti; Motoyuki Yuasa; Myo Nyein Aung
Journal:  Risk Manag Healthc Policy       Date:  2022-09-20

5.  Estimating Service Demand for Intermediary Care at a Community Integrated Intermediary Care Center among Family Caregivers of Older Adults Residing in Chiang Mai, Northern Thailand.

Authors:  Thin Nyein Nyein Aung; Myo Nyein Aung; Saiyud Moolphate; Yuka Koyanagi; Mariko Ichikawa; Siripen Supakankunti; Motoyuki Yuasa
Journal:  Int J Environ Res Public Health       Date:  2021-06-04       Impact factor: 3.390

6.  Caregiver Burden and Associated Factors for the Respite Care Needs among the Family Caregivers of Community Dwelling Senior Citizens in Chiang Mai, Northern Thailand.

Authors:  Thin Nyein Nyein Aung; Myo Nyein Aung; Saiyud Moolphate; Yuka Koyanagi; Siripen Supakankunti; Motoyuki Yuasa
Journal:  Int J Environ Res Public Health       Date:  2021-05-30       Impact factor: 3.390

  6 in total

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