Typical Experience,Common Issues and Strategies in a Payment Reform for Advantageous TCM-treated Diseases
- VernacularTitle:中医优势病种支付方式改革的典型经验、共性问题与对策研究
- Author:
Shiwen ZHANG
1
;
Lili WANG
;
Limei JING
Author Information
1. 上海中医药大学公共健康学院 上海 201203
- Keywords:
dominant diseases in traditional Chinese medicine;
payment reform;
experience introduction
- From:
Chinese Health Economics
2024;43(8):22-27,33
- CountryChina
- Language:Chinese
-
Abstract:
Objective:It aimed to improve pilot programs and explore medical insurance payment methods tailored to the characteristics of Traditional Chinese Medicine(TCM)services by summarizing practical experiences,analyzing common issues,and proposing strategic suggestions.Methods:It conducted a comprehensive review of literature and policy documents to analyze the progress of TCM advantageous condition and payment modality reforms,prevalent conditions,and service types.Results:It revealed various payment modalities for TCM,including remuneration for advantageous conditions,establishment of TCM Diagnosis Related Groups(DRG),and formulation of differential adjustment coefficients for TCM-focused healthcare institutions.Reforms predominantly involve expanding condition-based remuneration scopes,individual-condition remunerations,and remuneration based on therapeutic efficacy.The effect of the reform is mainly reflected in the recognition of the value of TCM,the support of hospitals,and the benefit of patients.Predominant conditions include bone injuries,rheumatic ailments,and anorectal disorders,with hospitalization being the primary service modality.Conclusion:Current payment modalities for TCM advantageous conditions face challenges such as limited reform scope and service coverage,coding system standardization issues,performance incentive deficiencies,and irrational cost estimation.Recommendations include exploring integrated TCM advantageous condition service models,establishing a management paradigm for TCM conditions,addressing transient policy-related deficits,leveraging data analytics and AI algorithms,and formulating clinical pathway standards.
