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Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China
PURPOSE: Non-essential hospitalization day of inpatient diabetes threatens health seriously and contributes to great economic burden on individuals and the society. Studying the essential utilization of hospitalization services is conducive to the reduction in the burden of diabetes. The purpose of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842738/ https://www.ncbi.nlm.nih.gov/pubmed/31807044 http://dx.doi.org/10.2147/DMSO.S220238 |
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author | Tao, Siyu Li, Haomiao Xie, Yueyin Chen, Jiangyun Feng, Zhanchun |
author_facet | Tao, Siyu Li, Haomiao Xie, Yueyin Chen, Jiangyun Feng, Zhanchun |
author_sort | Tao, Siyu |
collection | PubMed |
description | PURPOSE: Non-essential hospitalization day of inpatient diabetes threatens health seriously and contributes to great economic burden on individuals and the society. Studying the essential utilization of hospitalization services is conducive to the reduction in the burden of diabetes. The purpose of this study is to identify the existence of non-essential hospitalization days during hospitalization in diabetic patients through exploring the use of health care in different types of insured patients. PATIENTS AND METHODS: A sample of 6731 admission records from 5929 hospitalized patients was studied. Binary logistic regression was performed to estimate the adjusted effects of health insurance status on readmission. Multiple stepwise linear regression was performed to estimate the adjusted effects of health insurance status on length of stay (LOS), direct medical expenses (DME), out-of-pocket (OOP) expenditures, and percentage of individual payment after reimbursement (PIPAR). Adjusted odds ratios (with 95% CI) were reported as the results of logistic regression models and linear regression models, respectively. RESULTS: Adjusted 7-day readmission rate and 30-day readmission rate were not significantly different between urban and rural resident basic medical insurance (URRBMI) and urban employee basic medical insurance (UEBMI). Compared with inpatients under URRBMI, the adjusted LOS and DME were significantly higher for UEBMI inpatients (adjusted OR of 2.6, 95% CI=1.9–3.2, adjusted OR of 1870.85, 95% CI=1370.97–2370.73, respectively). Adjusted OOP and PIPAR were significantly lower for UEBMI inpatients (adjusted OR of-970.86, 95% CI =−1111.63–−830.10, adjusted OR of −0.19, 95% CI=−0.20–−0.18, respectively). CONCLUSION: There was a non-essential hospitalization day existing in the treatment of diabetes. Moral hazard has been found in UEBMI which would trigger overtreatment in hospitalization of diabetics, and the lower PIPAR of UEBMI was one of the main causes of moral hazard. |
format | Online Article Text |
id | pubmed-6842738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-68427382019-12-05 Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China Tao, Siyu Li, Haomiao Xie, Yueyin Chen, Jiangyun Feng, Zhanchun Diabetes Metab Syndr Obes Original Research PURPOSE: Non-essential hospitalization day of inpatient diabetes threatens health seriously and contributes to great economic burden on individuals and the society. Studying the essential utilization of hospitalization services is conducive to the reduction in the burden of diabetes. The purpose of this study is to identify the existence of non-essential hospitalization days during hospitalization in diabetic patients through exploring the use of health care in different types of insured patients. PATIENTS AND METHODS: A sample of 6731 admission records from 5929 hospitalized patients was studied. Binary logistic regression was performed to estimate the adjusted effects of health insurance status on readmission. Multiple stepwise linear regression was performed to estimate the adjusted effects of health insurance status on length of stay (LOS), direct medical expenses (DME), out-of-pocket (OOP) expenditures, and percentage of individual payment after reimbursement (PIPAR). Adjusted odds ratios (with 95% CI) were reported as the results of logistic regression models and linear regression models, respectively. RESULTS: Adjusted 7-day readmission rate and 30-day readmission rate were not significantly different between urban and rural resident basic medical insurance (URRBMI) and urban employee basic medical insurance (UEBMI). Compared with inpatients under URRBMI, the adjusted LOS and DME were significantly higher for UEBMI inpatients (adjusted OR of 2.6, 95% CI=1.9–3.2, adjusted OR of 1870.85, 95% CI=1370.97–2370.73, respectively). Adjusted OOP and PIPAR were significantly lower for UEBMI inpatients (adjusted OR of-970.86, 95% CI =−1111.63–−830.10, adjusted OR of −0.19, 95% CI=−0.20–−0.18, respectively). CONCLUSION: There was a non-essential hospitalization day existing in the treatment of diabetes. Moral hazard has been found in UEBMI which would trigger overtreatment in hospitalization of diabetics, and the lower PIPAR of UEBMI was one of the main causes of moral hazard. Dove 2019-11-06 /pmc/articles/PMC6842738/ /pubmed/31807044 http://dx.doi.org/10.2147/DMSO.S220238 Text en © 2019 Tao et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Tao, Siyu Li, Haomiao Xie, Yueyin Chen, Jiangyun Feng, Zhanchun Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title | Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title_full | Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title_fullStr | Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title_full_unstemmed | Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title_short | Is There A Non-Essential Hospitalization Day In Inpatients With Diabetes Under Medical Insurance? Evidence From An Observational Study In China |
title_sort | is there a non-essential hospitalization day in inpatients with diabetes under medical insurance? evidence from an observational study in china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842738/ https://www.ncbi.nlm.nih.gov/pubmed/31807044 http://dx.doi.org/10.2147/DMSO.S220238 |
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