Journal of Pharmaceutical and Biomedical Sciences

From Per-diem Payment to Case-based Per-episode Payment for Acute Mental Disorders in Guangzhou, China: A Propensity Score Matching and Difference-in-Differences Analysis using Real World Data

Peiyao Lu, Tiantian Zhang, Jingmei Xie, Sen Wang, Junming Lin, Jeff Jianfei Guo, Jie Jiang

Abstract


Purpose Mental disorders affect millions of people with a great economic burden. Guangzhou, a major city in China, initiated the case-based per-episode payment policy for patients with acute mental disorders since 2015.This study aimed to explore whether aggregated payment with per-diem for chronic patients and case-based per-episode for acute patients is more cost-saving than traditional payment with per-diem for both chronic and acute patients.

Methods A total of 6,778 episodes of medical records from Feb 1, 2014 to Feb 1, 2016, including 2,091 patients in one intervention hospital and 4,687 patients in ten control hospitals were extracted from Guangzhou Urban Employee Basic Medical Insurance. Length of stay, number of hospitalization and medical expenditures per year were compared between groups. The total medical expenditures were calculated as sum of medical insurance reimbursement and patient out-of-pocket payments. Economic impact was assessed using propensity score matching (PSM) plus difference-in-differences (DID) method.

Results From governmental health insurance prospective, significant reductions in intervention group were observed in relevant economic outcomes per year per capita, including length of stay reduced 14.11 days (P=0.037), number of hospitalization reduced 0.02 times (P=0.04), medical insurance reimbursement reduced US$439.4 (P=0.017), patient out-of-pocket payments reduced US$242.4 (P<0.01), total medical expenditures reduced US$681.8 (P=0.002).

Conclusions The new payment policy was proved cost-saving and may facilitate acute mental disorder patients’ prognosis.


Keywords


mental disorders, policy reform, per-diem payment, case-based per-episode payment, cost analysis.

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