Effect Evaluation of PBM Pilots in Wuhu City of Anhui Province from the Perspective of Patients
- VernacularTitle:基于患者视角评估安徽芜湖市药品福利管理试点效果
- Author:
Liyue HE
1
;
Junfeng WANG
1
;
Xiaoyan WU
1
;
Xinyi LIU
1
;
Li YANG
1
Author Information
1. School of Public Health,Peking University,Beijing 100191,China
- Publication Type:Journal Article
- Keywords:
Pharmacy Benefit Management;
Drug compliance;
Health outcome;
Economic burden of disease;
Propensity Score Matching;
Effect evaluation
- From:
China Pharmacy
2019;30(6):725-730
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE: To evaluate the effects of Pharmacy Benefit Management (PBM) model on drug compliance, health outcomes, economic burden and satisfaction of patients in Wuhu city of Anhui province. METHODS: In cross-sectional study, the questionnaires were designed according to the National Health Service Survey. Through cluster sampling and convenient sampling, the questionnaire survey (including subjective evaluation) was conducted among hypertensive patients who participated in or did not participate in the PBM program in pilot area of Wuhu city. Descriptive analysis was used to analyze the general characteristics of the two groups. The Propensity Score Matching (PSM) was used to approximately randomize the included data to balance the baseline characteristics. Univariate linear regression or Logistic regression analysis were used to evaluate the relationship of whether to join PBM or not with drug compliance,QALY, hospitalization probability,monthly average drug cost for chronic diseases and monthly self-paid drug cost for chronic diseases, etc. RESULTS: A total of 755 valid questionnaires were collected, including 405 in the PBM group and 350 in the non-participating group. There was statistical significance in patient’s gender, age, education degree, nature of household registration, type of medical insurance or usual visited medical institutions (P<0.05). About 95% patients (405 cases) satisfied with PBM program. 281 cases of PBM group and 193 cases of non-participating group were included through PSM. Results of regression analysis showed that lower one level at least of medication compliance in PBM group was 0.49 times as that in the non-participating group; the hospitalization probability in PBM group was 0.56 times as that in the non-participating group (P<0.05). There was no statistical significance of difference in control of blood pressure QALY, monthly average drug cost for chronic diseases and monthly self-paid drug cost for chronic diseases between two groups (P>0.05). CONCLUSIONS: The implementation of PBM model in pilot areas can improve drug compliance and reduce hospitalization rate of patients. The most patients are highly satisfied. However, the effects of PBM on patients’ control of blood pressure, QALY and medical expense are not obvious, and its long-term effect needs more follow-up studies to verify.