Impact of Diagnosis-Related-Group (DRG) payment on variation in hospitalization expenditure: evidence from China.

China Diagnosis-Related-Group (DRG) Hospitalization expenditure variation Medical care service consistency Payment reform

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:
24 Jun 2023
Historique:
received: 14 03 2023
accepted: 11 06 2023
medline: 26 6 2023
pubmed: 25 6 2023
entrez: 24 6 2023
Statut: epublish

Résumé

Diagnosis-Related-Group (DRG) payment is considered a crucial means of addressing the rapid increases of medical cost and variation in cost. This paper analyzes the impact of DRG payment on variation in hospitalization expenditure in China. Patients with chronic obstructive pulmonary disease (COPD), acute myocardial infarction (AMI) and cerebral infarction (CI) in a Chinese City Z were selected. Patients in the fee-for-service (FFS) payment group and the DRG payment group were used as the control group and intervention group, respectively, and propensity-score-matching (PSM) was conducted. Interquartile distance (IQR), standard deviation (SD) and concentration index were used to analyze variation and trends in terms of hospitalization expenditure across the different groups. After DRG payment reform, the SD of hospitalization expenditure in respect of the COPD, AMI and CI patients in City Z decreased by 11,094, 4,833 and 4,987 CNY, respectively. The concentration indices of hospitalization expenditures for three diseases are all below 0 (statistically significant), with the absolute value tending to increase year by year. DRG payment can be seen to guide medical service providers to provide effective treatment that can improve the consistency of medical care services, bringing the cost of medical care closer to its true clinical value.

Sections du résumé

BACKGROUND BACKGROUND
Diagnosis-Related-Group (DRG) payment is considered a crucial means of addressing the rapid increases of medical cost and variation in cost. This paper analyzes the impact of DRG payment on variation in hospitalization expenditure in China.
METHOD METHODS
Patients with chronic obstructive pulmonary disease (COPD), acute myocardial infarction (AMI) and cerebral infarction (CI) in a Chinese City Z were selected. Patients in the fee-for-service (FFS) payment group and the DRG payment group were used as the control group and intervention group, respectively, and propensity-score-matching (PSM) was conducted. Interquartile distance (IQR), standard deviation (SD) and concentration index were used to analyze variation and trends in terms of hospitalization expenditure across the different groups.
RESULTS RESULTS
After DRG payment reform, the SD of hospitalization expenditure in respect of the COPD, AMI and CI patients in City Z decreased by 11,094, 4,833 and 4,987 CNY, respectively. The concentration indices of hospitalization expenditures for three diseases are all below 0 (statistically significant), with the absolute value tending to increase year by year.
CONCLUSION CONCLUSIONS
DRG payment can be seen to guide medical service providers to provide effective treatment that can improve the consistency of medical care services, bringing the cost of medical care closer to its true clinical value.

Identifiants

pubmed: 37355657
doi: 10.1186/s12913-023-09686-z
pii: 10.1186/s12913-023-09686-z
pmc: PMC10290781
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

688

Informations de copyright

© 2023. The Author(s).

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Auteurs

Qiaosheng Li (Q)

Department of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China.

Xiaoqi Fan (X)

Department of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China.

Weiyan Jian (W)

Department of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, China. jianweiyan@bjmu.edu.cn.

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Classifications MeSH