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Drivers of high-cost persistence in rural China: A population-based retrospective study

PURPOSE: High-cost patients account for over 70% of total health expenditures in rural China and have become a key focus of health insurers. Persistently high-cost patients constitute a substantial proportion of medical resources. Hence, exploring high-cost persistence (HCP) and what drives it is co...

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Autores principales: Wang, Chenzhou, Lu, Shan, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763318/
https://www.ncbi.nlm.nih.gov/pubmed/36561866
http://dx.doi.org/10.3389/fpubh.2022.988664
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author Wang, Chenzhou
Lu, Shan
Zhang, Yan
author_facet Wang, Chenzhou
Lu, Shan
Zhang, Yan
author_sort Wang, Chenzhou
collection PubMed
description PURPOSE: High-cost patients account for over 70% of total health expenditures in rural China and have become a key focus of health insurers. Persistently high-cost patients constitute a substantial proportion of medical resources. Hence, exploring high-cost persistence (HCP) and what drives it is considered meaningful and necessary. PATIENTS AND METHODS: A population-based retrospective study was carried out. The annual healthcare utilization data of Dangyang New Rural Cooperative Medical Scheme from 2012 to 2017 were analyzed. Patients in the top 10% of spending in a given year were considered high-cost patients. Persistence level was estimated using Markov matrices. A total of 19,405 patients categorized as high-cost patients in 2016 were divided into two groups according to whether or not they kept high-cost status in 2017. Finally, a multilevel logistic regression model was used in examining the determinants of HCP. RESULTS: On average, about 31.48% of high-cost patients each year still maintained high-cost status in the subsequent year from 2012 to 2017. The elderly (OR = 2.150), families with more non-labor members (OR = 2.307), families applying for subsistence allowances (OR = 1.245), and patients with blood and immune diseases (OR = 2.614) or malignant tumors (OR = 2.077) were more likely to maintain high-cost status. Hospitalization frequency was found to be a mediator. CONCLUSION: About one-third of high-cost patients in a given year had persistently high cost status in the subsequent year. Health status and family support were considered the main drivers of HCP. High inpatient service utilization as a mediator was a prominent manifestation of persistently high-cost patients. The accurate identification of persistently high-cost patients is the basis for our management.
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spelling pubmed-97633182022-12-21 Drivers of high-cost persistence in rural China: A population-based retrospective study Wang, Chenzhou Lu, Shan Zhang, Yan Front Public Health Public Health PURPOSE: High-cost patients account for over 70% of total health expenditures in rural China and have become a key focus of health insurers. Persistently high-cost patients constitute a substantial proportion of medical resources. Hence, exploring high-cost persistence (HCP) and what drives it is considered meaningful and necessary. PATIENTS AND METHODS: A population-based retrospective study was carried out. The annual healthcare utilization data of Dangyang New Rural Cooperative Medical Scheme from 2012 to 2017 were analyzed. Patients in the top 10% of spending in a given year were considered high-cost patients. Persistence level was estimated using Markov matrices. A total of 19,405 patients categorized as high-cost patients in 2016 were divided into two groups according to whether or not they kept high-cost status in 2017. Finally, a multilevel logistic regression model was used in examining the determinants of HCP. RESULTS: On average, about 31.48% of high-cost patients each year still maintained high-cost status in the subsequent year from 2012 to 2017. The elderly (OR = 2.150), families with more non-labor members (OR = 2.307), families applying for subsistence allowances (OR = 1.245), and patients with blood and immune diseases (OR = 2.614) or malignant tumors (OR = 2.077) were more likely to maintain high-cost status. Hospitalization frequency was found to be a mediator. CONCLUSION: About one-third of high-cost patients in a given year had persistently high cost status in the subsequent year. Health status and family support were considered the main drivers of HCP. High inpatient service utilization as a mediator was a prominent manifestation of persistently high-cost patients. The accurate identification of persistently high-cost patients is the basis for our management. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763318/ /pubmed/36561866 http://dx.doi.org/10.3389/fpubh.2022.988664 Text en Copyright © 2022 Wang, Lu and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Chenzhou
Lu, Shan
Zhang, Yan
Drivers of high-cost persistence in rural China: A population-based retrospective study
title Drivers of high-cost persistence in rural China: A population-based retrospective study
title_full Drivers of high-cost persistence in rural China: A population-based retrospective study
title_fullStr Drivers of high-cost persistence in rural China: A population-based retrospective study
title_full_unstemmed Drivers of high-cost persistence in rural China: A population-based retrospective study
title_short Drivers of high-cost persistence in rural China: A population-based retrospective study
title_sort drivers of high-cost persistence in rural china: a population-based retrospective study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763318/
https://www.ncbi.nlm.nih.gov/pubmed/36561866
http://dx.doi.org/10.3389/fpubh.2022.988664
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