PMID- 37441652 OWN - NLM STAT- MEDLINE DCOM- 20230717 LR - 20240420 IS - 2296-2565 (Electronic) IS - 2296-2565 (Linking) VI - 11 DP - 2023 TI - A study of the types and manifestations of physicians' unintended behaviors in the DRG payment system. PG - 1141981 LID - 10.3389/fpubh.2023.1141981 [doi] LID - 1141981 AB - INTRODUCTION: In recent years, China has implemented the Diagnosis Related Groups (DRG) payment system as part of its healthcare insurance reimbursement policy. Numerous studies have focused on the effectiveness of DRG payment system in controlling unreasonable growth in medical expenses. However, there has been no systematic report on the types of unintended behaviors exhibited by doctors under the DRG payment system. METHODS: The study first utilized interrupted time series analysis to analyze medical records and insurance data from eight hospitals. It investigated the data changes in MDC and ADRG groups before and after the implementation of the DRG payment system. Subsequently, a semi-structured interview method was employed to conduct qualitative research on the unintended behaviors of physicians, aiming to gain a more accurate understanding of specific changes in physician behavior after the implementation of the DRG payment system. RESULTS: This study discovered that doctors engage in unintended behaviors within the framework of the DRG payment system. DISCUSSION: In the early implementation of the DRG payment system in China, the contradictions between the flawed DRG payment methods and supporting systems and the actual diagnostic and treatment work manifested in the form of unintended doctor behaviors. Most of these unintended behaviors can be considered reasonable feedback from doctors to cope with the existing system flaws. They are conducive to identifying the deficiencies in China's DRG payment system and suggesting directions for improvement. CI - Copyright (c) 2023 Chang, Yan, Ling, Liu and Luo. FAU - Chang, Wei-Fu AU - Chang WF AD - Department of Medical Administration, The Third Xiangya Hospital of Central South University, Changsha, China. AD - Xiangya School of Public Health, Central South University, Changsha, China. AD - Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha, China. FAU - Yan, Xin-Yu AU - Yan XY AD - Key Laboratory of Medical Information Research (Central South University), College of Hunan Province, Changsha, China. AD - School of Life Sciences, Central South University, Changsha, China. FAU - Ling, Hao AU - Ling H AD - Department of Medical Administration, The Third Xiangya Hospital of Central South University, Changsha, China. FAU - Liu, Ting AU - Liu T AD - School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China. FAU - Luo, Ai-Jing AU - Luo AJ AD - Information Network Center, The Second Xiangya Hospital of Central South University, Changsha, China. AD - Clinical Research Center for Cardiovascular Intelligent Healthcare in Hunan Province, Changsha, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20230627 PL - Switzerland TA - Front Public Health JT - Frontiers in public health JID - 101616579 SB - IM MH - Humans MH - *Diagnosis-Related Groups MH - Health Policy MH - *Physicians MH - Hospitals, Public MH - China PMC - PMC10333571 OTO - NOTNLM OT - DRG payment OT - interrupted time series analysis OT - negotiation mechanism OT - physicians OT - unintended behaviors COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2023/07/13 19:14 MHDA- 2023/07/17 06:42 PMCR- 2023/06/27 CRDT- 2023/07/13 15:32 PHST- 2023/01/12 00:00 [received] PHST- 2023/06/12 00:00 [accepted] PHST- 2023/07/17 06:42 [medline] PHST- 2023/07/13 19:14 [pubmed] PHST- 2023/07/13 15:32 [entrez] PHST- 2023/06/27 00:00 [pmc-release] AID - 10.3389/fpubh.2023.1141981 [doi] PST - epublish SO - Front Public Health. 2023 Jun 27;11:1141981. doi: 10.3389/fpubh.2023.1141981. eCollection 2023.