Examining the factors associated with inpatients' perception of overtreatment in Korea: a cross-sectional study.


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
14 Jun 2023
Historique:
received: 12 12 2022
accepted: 16 05 2023
medline: 16 6 2023
pubmed: 15 6 2023
entrez: 14 6 2023
Statut: epublish

Résumé

Patients' perception of receiving overtreatment can cause distrust in medical services. Unlike outpatients, inpatients are highly likely to receive many medical services without fully understanding their medical situation. This information asymmetry could prompt inpatients to perceive treatment as excessive. This study tested the hypothesis that there are systematic patterns in inpatients' perceptions of overtreatment. We examined determinant factors of inpatients' perception of overtreatment in a cross-sectional design that used data from the 2017 Korean Health Panel (KHP), a nationally representative survey. For sensitivity analysis, the concept of overtreatment was analyzed by dividing it into a broad meaning (any overtreatment) and a narrow meaning (strict overtreatment). We performed chi-square for descriptive statistics, and multivariate logistic regression with sampling weights employing Andersen's behavioral model. There were 1,742 inpatients from the KHP data set that were included in the analysis. Among them, 347 (19.9%) reported any overtreatment and 77 (4.42%) reported strict overtreatment. Furthermore, we found that the inpatient's perception of overtreatment was associated with gender, marital status, income level, chronic disease, subjective health status, health recovery, and general tertiary hospital. Medical institutions should understand factors that contribute to inpatients' perception of overtreatment to mitigate patients' complaints due to information asymmetry. Moreover, based on the result of this study, government agencies, such as the Health Insurance Review and Assessment Service, should create policy-based controls and evaluate overtreatment behavior of the medical providers and intervene in the miscommunication between patients and providers.

Sections du résumé

BACKGROUND BACKGROUND
Patients' perception of receiving overtreatment can cause distrust in medical services. Unlike outpatients, inpatients are highly likely to receive many medical services without fully understanding their medical situation. This information asymmetry could prompt inpatients to perceive treatment as excessive. This study tested the hypothesis that there are systematic patterns in inpatients' perceptions of overtreatment.
METHODS METHODS
We examined determinant factors of inpatients' perception of overtreatment in a cross-sectional design that used data from the 2017 Korean Health Panel (KHP), a nationally representative survey. For sensitivity analysis, the concept of overtreatment was analyzed by dividing it into a broad meaning (any overtreatment) and a narrow meaning (strict overtreatment). We performed chi-square for descriptive statistics, and multivariate logistic regression with sampling weights employing Andersen's behavioral model.
RESULTS RESULTS
There were 1,742 inpatients from the KHP data set that were included in the analysis. Among them, 347 (19.9%) reported any overtreatment and 77 (4.42%) reported strict overtreatment. Furthermore, we found that the inpatient's perception of overtreatment was associated with gender, marital status, income level, chronic disease, subjective health status, health recovery, and general tertiary hospital.
CONCLUSION CONCLUSIONS
Medical institutions should understand factors that contribute to inpatients' perception of overtreatment to mitigate patients' complaints due to information asymmetry. Moreover, based on the result of this study, government agencies, such as the Health Insurance Review and Assessment Service, should create policy-based controls and evaluate overtreatment behavior of the medical providers and intervene in the miscommunication between patients and providers.

Identifiants

pubmed: 37316854
doi: 10.1186/s12913-023-09563-9
pii: 10.1186/s12913-023-09563-9
pmc: PMC10268426
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

633

Subventions

Organisme : Ministry of Science and ICT
ID : IITP-RS-2022-00156439

Informations de copyright

© 2023. The Author(s).

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Auteurs

Jin Su Jang (JS)

Human Behavior & Genetic Institute, Associate Research Center, Korea University, Seoul, Republic of Korea.

Hyun Woo Jung (HW)

Department of Health Administration, Graduate School BK21 - Graduate Program of Developing Global Experts in Health Policy and Management, Yonsei University, Wonju, Korea. jhw8901@naver.com.
Division of Health Administration, College of Software and Digital Healthcare Convergence, Yonsei University, Yeonsedae-gil 1, Heungeop-myeon, Wonju-si, 26493, Gangwon-do, Republic of Korea. jhw8901@naver.com.

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Classifications MeSH