» Articles » PMID: 36726630

Factors Influencing the Health Satisfaction of Users of Public Health and Medical Institutions in South Korea

Overview
Specialty Public Health
Date 2023 Feb 2
PMID 36726630
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: In this study, we investigated the health satisfaction levels of users of regional health and medical institutions in South Korea and the influencing factors.

Methods: We included randomly selected 300 people with experience in using health and medical institutions from panel data targeting the entire nation. We used questionnaire (EQ-5D-5L) and sociodemographic characteristics to analyze the health satisfaction. EQ-5D-5L was used to measure health-related quality of life in five areas: mobility, self-management, daily activities, pain/discomfort, and anxiety/depression. Hierarchical linear regression analysis was performed in three steps to examine the factors influencing health satisfaction.

Results: The analysis showed that the health satisfaction was positively (+) correlated with monthly income, mobility, self-management, daily life, pain/discomfort, and anxiety/depression, and negatively (-) correlated with the number of chronic diseases and type of health insurance. The influencing factors in Step 1 and 2 were chronic diseases (β = -0.380, -0.385), respectively. The influencing factors in Step 3 were pain/discomfort (β = 0.202), anxiety/depression (β = 0.257), and the number of chronic diseases (β = -0.222).

Discussions: The current data suggested that regional health and medical institutions should focus their services on residents with chronic diseases. Moreover, they should expand physical activities to relieve physical pain or discomfort and provide services related to mental health. To accomplish these, we suggested that the government will need to promote post-service health checkup results as a key project, provide user-customized services, provide online services utilizing ICT, expanding the government's financial support, and building infrastructure.

Citing Articles

Medical expenses and its determinants in female patients with urological disorder.

Park S, Ji S, Lee H, Choi H, Choi M, Lee M Cost Eff Resour Alloc. 2024; 22(1):45.

PMID: 38790023 PMC: 11127313. DOI: 10.1186/s12962-024-00556-x.


Analyzing the Effectiveness of Data-Linked Projects for Health Promotion in Public Health Centers of South Korea.

Yoon K, Kim H, Choi M, Lee M, Jakovljevic M Risk Manag Healthc Policy. 2023; 16:1101-1117.

PMID: 37346248 PMC: 10281271. DOI: 10.2147/RMHP.S413630.

References
1.
Malcarney M, Pittman P, Quigley L, Horton K, Seiler N . The Changing Roles of Community Health Workers. Health Serv Res. 2017; 52 Suppl 1:360-382. PMC: 5269544. DOI: 10.1111/1475-6773.12657. View

2.
Park Y, Park S, Lee M . Analyzing Community Care Research Trends Using Text Mining. J Multidiscip Healthc. 2022; 15:1493-1510. PMC: 9297196. DOI: 10.2147/JMDH.S366726. View

3.
Kaplan R, Hays R . Health-Related Quality of Life Measurement in Public Health. Annu Rev Public Health. 2021; 43:355-373. DOI: 10.1146/annurev-publhealth-052120-012811. View

4.
Park Y, Park S, Lee M . Digital Health Care Industry Ecosystem: Network Analysis. J Med Internet Res. 2022; 24(8):e37622. PMC: 9434390. DOI: 10.2196/37622. View

5.
Kegler M, Rigler J, Honeycutt S . The role of community context in planning and implementing community-based health promotion projects. Eval Program Plann. 2011; 34(3):246-53. DOI: 10.1016/j.evalprogplan.2011.03.004. View