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Int J Health Plann Manage ; 34(4): 1386-1398, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31286577

RESUMO

PURPOSE: Diagnosis-related groups (DRGs)-based payment is an important tool for containment of inpatient expenditure rise in many countries. As a major developing country, China has introduced DRGs in the health reform. Beijing, the capital of China, developed a local DRGs version (BJ-DRGs) whose performance needs to be evaluated before universal utilization. The objective of this study was to survey the effect of BJ-DRGs-based payment on a pilot hospital. METHODS: We surveyed the profit and loss situation of 47 148 cases of hospital discharged patients in 107 groups of pilot BJ-DRGs-based payment from December 2011 to July 2018 in certain top tertiary hospital in Beijing. RESULTS: In pilot 107 groups of DRGs, there were 77 groups (71.96%) in profit and 30 groups (28.04%) in loss; average length of inpatient stay was 7.47 days, average inpatient expenditure ¥17 821.19, average DRGs standard unit price ¥15 896.83, average self-pay expenditure ¥1 117.04, and average profit ¥1 849.65; logistic regression showed that whether the pilot hospital of BJ-DRGs-based payment was in profit or loss was correlated negatively with inpatient expenditure, length of inpatient stay, drug expenditure, expenditure of medical consumables, and pilot years, and positively with DRGs standard unit price, self-pay expenditure, and age and gender (P < .0001). CONCLUSION: BJ-DRGs-based payment is the first implemented DRGs-based prospective payment system in China. The current DRGs pilot model made the pilot hospital appear profitable as a whole and its length of inpatient stay decline.


Assuntos
Grupos Diagnósticos Relacionados/economia , Hospitais/estatística & dados numéricos , Mecanismo de Reembolso , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Criança , Pré-Escolar , China , Grupos Diagnósticos Relacionados/estatística & dados numéricos , Economia Hospitalar/organização & administração , Economia Hospitalar/estatística & dados numéricos , Feminino , Humanos , Lactente , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Projetos Piloto , Fatores Sexuais , Adulto Jovem
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