Evidence map›Paper›PMID 36604122›Full record

ArticleBMJ open2023

Short-term and long-term effects of Sanming healthcare system reform on drug-related expenditures for rural patients with cancer in public hospitals: an interrupted time series analysis using segmented regression model in China.

Rong Fu, Qidong Chen, Yulan Lin, Zheng Lin, Zhenquan Zheng, Zhijian Hu

Abstract read
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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rong FuThe School of Public Health, Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, China.ORCID 0000-0001-7922-7088
Qidong ChenThe Second Affiliated Hospital, Fujian Medical University, Quanzhou, China.
Yulan LinThe School of Public Health, Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, China.ORCID 0000-0002-4208-9408
Zheng LinThe School of Public Health, Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, China.
Zhenquan ZhengThe School of Health Management, Fujian Medical University, Fuzhou, China.
Zhijian HuThe School of Public Health, Department of Epidemiology and Health Statistics, Fujian Medical University, Fuzhou, China huzhijian@fjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the effects of 'Sanming model' on drug-related expenditures.

designInterrupted time series analysis with two time points was conducted to analyse the effects of 'Sanming model' using segmented regression model.

settingTwo hundred and eighty public hospitals in Fujian province in China.

participantsA total of 777 171 inpatients and 792 743 outpatients with cancer who participated in New Rural Cooperative Medical Scheme (NRCMS) were included.

interventions'Sanming model' was issued by Sanming government in February 2013 and spread to other cities in Fujian province in January 2015. PRIMARY OUTCOME MEASURES: Four drug-related expenditure variables.

resultsAmong inpatients, total drug expenditures and drug expenditures covered by NRCMS dropped instantly after the reform in all hospitals. Although there was insignificant change during the short-term reform period, the total drug expenditures and drug expenditures covered by NRCMS decreased at the rate of ¥20.3 (p=0.0099) and ¥18.8 (p=0.0341) per capita month-to-month during the long-term reform period in Sanming hospitals, respectively. Among outpatients, total drug expenditures and drug expenditures covered by NRCMS decreased at the rate of ¥20.8 (p=0.0335) and ¥18.4 (p=0.0242) per capita month-to-month during the short-term reform period in Sanming hospitals, respectively. However, the downward trend did not continue into the long term. The significant decreases in trend of drug expenditures uncovered by NRCMS were only observed after the reform in provincial hospitals. The ratio of drug expenditures to inpatient (outpatient) expenditures decreased after the reform in all hospitals.

conclusions'Sanming model' had long-term effect in reducing total drug expenditures, drug ratio and drug expenditures covered by NRCMS for rural inpatients with cancer and only short-term positive effect for outpatients. However, there was limited effect of 'Sanming model' on drug expenditures uncovered by NRCMS. 'Sanming model' still needs to accumulate experiences and improves the reform measures dynamically.

Indexed as

Health ExpendituresNeoplasmsChinaHealth Care ReformHospitals, PublicHumansInterrupted Time Series AnalysisHealth policyONCOLOGYOrganisation of health servicesQuality in health care

Identifiers

PMID36604122
PMCPMC9827248

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