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Factors associated with the inter-facility transfer of inpatients in Sichuan province, China

BACKGROUND: The overuse of tertiary hospitals and underuse of primary care facilities has been one of the key reasons leading to fast health expenditure increase and health service utilization inequity in China. Recent health care reform in China tries to enforce a patient transfer system to make th...

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Autores principales: Liu, Linxin, Liu, Chaojie, Duan, Zhanqi, Pan, Jingping, Yang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533730/
https://www.ncbi.nlm.nih.gov/pubmed/31122226
http://dx.doi.org/10.1186/s12913-019-4153-7
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author Liu, Linxin
Liu, Chaojie
Duan, Zhanqi
Pan, Jingping
Yang, Min
author_facet Liu, Linxin
Liu, Chaojie
Duan, Zhanqi
Pan, Jingping
Yang, Min
author_sort Liu, Linxin
collection PubMed
description BACKGROUND: The overuse of tertiary hospitals and underuse of primary care facilities has been one of the key reasons leading to fast health expenditure increase and health service utilization inequity in China. Recent health care reform in China tries to enforce a patient transfer system to make the health services utilization more efficient. This study examined the pattern and associated factors of inter-facility transfer of inpatients in Sichuan province of Western China. METHODS: Patient discharge records (n = 1,490,695) from 604 general hospitals during the period of April to June 2015 in Sichuan were extracted from the front page of the medical records system with individual information on demographics, insurance coverage, diagnoses, hospitals admitted and discharge type. We calculated the percentage of inpatients transferring to other health facilities, the Inter-Facility Transfer Rate (IFTR) with adjustment for Charlson Comorbidity Index (CCI). Multi-level logistic regression models were established to identify factors associated with IFTRs. RESULTS: A small number of tertiary hospitals (n = 75, 12.41%) shared 51.71% (n = 770,823) of all admitted cases while a large number of primary/unrated hospitals (n = 321, 53.15%) shared only 8.15%. The overall CCI-adjusted IFTR was 2.08% with 3.73% among secondary hospitals, 1.87% among tertiary hospitals and 1.30% among primary/unrated hospitals. Uninsured patients (OR = 1.13) and those with a lower level of insurance entitlements (OR = 1.12 for the New Rural Cooperative Medical Scheme and the Basic Medical Insurance for Urban Residents) were more likely to experience inter-facility transfer than those with a higher level of insurance entitlements (the Basic Medical Insurance for Urban Employees). CONCLUSION: The level of IFTR in general hospitals in Sichuan is low, which is associated with the level of hospitals and insurance entitlements. Further studies are needed to better understand how patients and health care providers respond to different insurance policies and make decisions on inter-facility transfer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4153-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-65337302019-05-28 Factors associated with the inter-facility transfer of inpatients in Sichuan province, China Liu, Linxin Liu, Chaojie Duan, Zhanqi Pan, Jingping Yang, Min BMC Health Serv Res Research Article BACKGROUND: The overuse of tertiary hospitals and underuse of primary care facilities has been one of the key reasons leading to fast health expenditure increase and health service utilization inequity in China. Recent health care reform in China tries to enforce a patient transfer system to make the health services utilization more efficient. This study examined the pattern and associated factors of inter-facility transfer of inpatients in Sichuan province of Western China. METHODS: Patient discharge records (n = 1,490,695) from 604 general hospitals during the period of April to June 2015 in Sichuan were extracted from the front page of the medical records system with individual information on demographics, insurance coverage, diagnoses, hospitals admitted and discharge type. We calculated the percentage of inpatients transferring to other health facilities, the Inter-Facility Transfer Rate (IFTR) with adjustment for Charlson Comorbidity Index (CCI). Multi-level logistic regression models were established to identify factors associated with IFTRs. RESULTS: A small number of tertiary hospitals (n = 75, 12.41%) shared 51.71% (n = 770,823) of all admitted cases while a large number of primary/unrated hospitals (n = 321, 53.15%) shared only 8.15%. The overall CCI-adjusted IFTR was 2.08% with 3.73% among secondary hospitals, 1.87% among tertiary hospitals and 1.30% among primary/unrated hospitals. Uninsured patients (OR = 1.13) and those with a lower level of insurance entitlements (OR = 1.12 for the New Rural Cooperative Medical Scheme and the Basic Medical Insurance for Urban Residents) were more likely to experience inter-facility transfer than those with a higher level of insurance entitlements (the Basic Medical Insurance for Urban Employees). CONCLUSION: The level of IFTR in general hospitals in Sichuan is low, which is associated with the level of hospitals and insurance entitlements. Further studies are needed to better understand how patients and health care providers respond to different insurance policies and make decisions on inter-facility transfer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-4153-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-23 /pmc/articles/PMC6533730/ /pubmed/31122226 http://dx.doi.org/10.1186/s12913-019-4153-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liu, Linxin
Liu, Chaojie
Duan, Zhanqi
Pan, Jingping
Yang, Min
Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title_full Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title_fullStr Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title_full_unstemmed Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title_short Factors associated with the inter-facility transfer of inpatients in Sichuan province, China
title_sort factors associated with the inter-facility transfer of inpatients in sichuan province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533730/
https://www.ncbi.nlm.nih.gov/pubmed/31122226
http://dx.doi.org/10.1186/s12913-019-4153-7
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