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Published on: January 26, 2019
Cohort study of older adults receiving home-based primary care in South Korea: cohort profile
Jihwan Lee1, Bokyoung Choi2, Yumi Shin3
1Department of Nursing, Chung-Ang University, Dongjak-gu, Korea (the Republic of).
Purpose:
The home-based primary care cohort was set up to identify the characteristics of Home-Based Primary Care (HBPC) users across three domains: health-related information, utility of healthcare service and care-related information.
Participants:
A total of 407 patients enrolled in five HBPC centres were recruited between January 2023 and March 2024. The baseline survey was conducted among 332 participants who provided informed consent for both study participation and home visits. The second wave of data collection is scheduled to take place 6 months after enrolment, while the third wave will be conducted 12 months post-enrolment. During each home visit, trained interviewers administered structured survey questionnaires. On completion of the 12-month follow-up period, the dataset will include survey data, intervention records from the five participating HBPC centres, home mortality status and institutionalisation risk linked to each participant.
Findings To Date:
This study examines HBPC in Korea, integrating the Widely Integrated Services in Home model with the long-term care insurance system. Among participants, 30.1% lived alone, and 74.1% were homebound, showing similarities to findings from a US HBPC study. Analysing cohort data, this study evaluates the impact of HBPC on healthcare utilisation, aligning with international findings on reduced hospitalisations and costs. As the first HBPC effectiveness study in Korea, it highlights its role in enhancing care for homebound older adults and shaping national health policies.
Future Plans:
Data on the number of interventions by profession, institutionalisation and hospitalisation status and duration, and death at home occurrence are being separately collected from five HBPC centres and will be included in the analysis. The analysis will examine associations between these variables to identify risk factors influencing institutionalisation. Additionally, this study plans to link the dataset with the National Health Insurance Service-Senior (NHIS-Senior) customised cohort for further analysis.
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