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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

OBJECTIVES: To assess the effects of ‘Sanming model’ on drug-related expenditures. DESIGN: Interrupted time series analysis with two time points was conducted to analyse the effects of ‘Sanming model’ using segmented regression model. SETTING: Two hundred and eighty public hospitals in Fujian provin...

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Autores principales: Fu, Rong, Chen, Qidong, Lin, Yulan, Lin, Zheng, Zheng, Zhenquan, Hu, Zhijian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827248/
https://www.ncbi.nlm.nih.gov/pubmed/36604122
http://dx.doi.org/10.1136/bmjopen-2022-065586
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author Fu, Rong
Chen, Qidong
Lin, Yulan
Lin, Zheng
Zheng, Zhenquan
Hu, Zhijian
author_facet Fu, Rong
Chen, Qidong
Lin, Yulan
Lin, Zheng
Zheng, Zhenquan
Hu, Zhijian
author_sort Fu, Rong
collection PubMed
description OBJECTIVES: To assess the effects of ‘Sanming model’ on drug-related expenditures. DESIGN: Interrupted time series analysis with two time points was conducted to analyse the effects of ‘Sanming model’ using segmented regression model. SETTING: Two hundred and eighty public hospitals in Fujian province in China. PARTICIPANTS: A 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. RESULTS: Among 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.
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spelling pubmed-98272482023-01-10 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 Fu, Rong Chen, Qidong Lin, Yulan Lin, Zheng Zheng, Zhenquan Hu, Zhijian BMJ Open Health Policy OBJECTIVES: To assess the effects of ‘Sanming model’ on drug-related expenditures. DESIGN: Interrupted time series analysis with two time points was conducted to analyse the effects of ‘Sanming model’ using segmented regression model. SETTING: Two hundred and eighty public hospitals in Fujian province in China. PARTICIPANTS: A 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. RESULTS: Among 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. BMJ Publishing Group 2023-01-05 /pmc/articles/PMC9827248/ /pubmed/36604122 http://dx.doi.org/10.1136/bmjopen-2022-065586 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Policy
Fu, Rong
Chen, Qidong
Lin, Yulan
Lin, Zheng
Zheng, Zhenquan
Hu, Zhijian
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827248/
https://www.ncbi.nlm.nih.gov/pubmed/36604122
http://dx.doi.org/10.1136/bmjopen-2022-065586
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