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Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran
BACKGROUND: Studying the effect of primary health care development when simultaneously implemented with health insurance schemes assesses effectiveness and use of health care services and gives us insight on how to develop such interventions in different countries. AIM: To analyze the impact of heal...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096179/ https://www.ncbi.nlm.nih.gov/pubmed/35197145 http://dx.doi.org/10.1017/S1463423618000300 |
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author | Salavati, Sedigheh Rashidian, Arash Hajimahmoodi, Hanan Ememgholipour, Sara Varahrami, Vida Khodayarimoez, Elham |
author_facet | Salavati, Sedigheh Rashidian, Arash Hajimahmoodi, Hanan Ememgholipour, Sara Varahrami, Vida Khodayarimoez, Elham |
author_sort | Salavati, Sedigheh |
collection | PubMed |
description | BACKGROUND: Studying the effect of primary health care development when simultaneously implemented with health insurance schemes assesses effectiveness and use of health care services and gives us insight on how to develop such interventions in different countries. AIM: To analyze the impact of health insurance and the family physician program on total hospitalizations, and the relation between avoidable hospitalizations and access to family physicians among the rural population in Iran. METHODS: We conducted an interrupted time series (ITS) analysis of monthly hospitalization rates between the years of 2003 and 2014 to assess the immediate and gradual effects of these reforms on total hospitalization rates in the rural areas of Tehran province. In addition, we used a sample of 22 570 hospitalizations between 2006 and 2013 to develop a logistic regression model to measure the association between access to a family physician and avoidable hospitalizations. FINDINGS: ITS analysis showed that there was an immediate increase of about 1.96 hospitalizations per 1000 inhabitants (P<0.0001, CI=1.58, 2.34) hospitalization rates after the reforms. This was followed by a significant increase of about 0.089 per 1000 inhabitants (P<0.0001, CI=0.07, 0.1). Hospitalization increase continued up to four years after the policy implementation. Following that, hospitalization rates decreased among the rural population (a decrease of 0.066 per 1000, P<0.0001, CI=−0.084, −0.048). Studying the hospitalizations that occurred between 2006 and 2013 showed that there were 4106 avoidable hospitalizations from among a sample of 22 570 hospitalizations. Results of logistic regression models including gender, age and access to family physician variables showed that there was no statistical relation between access to a family physician and avoidable hospitalizations. CONCLUSION: Reforms had access effect and caused increased hospital services uses in people with unmet needs. Also the reforms did not decrease avoidable hospitalizations, and therefore had no efficiency effect. |
format | Online Article Text |
id | pubmed-9096179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90961792022-05-25 Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran Salavati, Sedigheh Rashidian, Arash Hajimahmoodi, Hanan Ememgholipour, Sara Varahrami, Vida Khodayarimoez, Elham Prim Health Care Res Dev Research BACKGROUND: Studying the effect of primary health care development when simultaneously implemented with health insurance schemes assesses effectiveness and use of health care services and gives us insight on how to develop such interventions in different countries. AIM: To analyze the impact of health insurance and the family physician program on total hospitalizations, and the relation between avoidable hospitalizations and access to family physicians among the rural population in Iran. METHODS: We conducted an interrupted time series (ITS) analysis of monthly hospitalization rates between the years of 2003 and 2014 to assess the immediate and gradual effects of these reforms on total hospitalization rates in the rural areas of Tehran province. In addition, we used a sample of 22 570 hospitalizations between 2006 and 2013 to develop a logistic regression model to measure the association between access to a family physician and avoidable hospitalizations. FINDINGS: ITS analysis showed that there was an immediate increase of about 1.96 hospitalizations per 1000 inhabitants (P<0.0001, CI=1.58, 2.34) hospitalization rates after the reforms. This was followed by a significant increase of about 0.089 per 1000 inhabitants (P<0.0001, CI=0.07, 0.1). Hospitalization increase continued up to four years after the policy implementation. Following that, hospitalization rates decreased among the rural population (a decrease of 0.066 per 1000, P<0.0001, CI=−0.084, −0.048). Studying the hospitalizations that occurred between 2006 and 2013 showed that there were 4106 avoidable hospitalizations from among a sample of 22 570 hospitalizations. Results of logistic regression models including gender, age and access to family physician variables showed that there was no statistical relation between access to a family physician and avoidable hospitalizations. CONCLUSION: Reforms had access effect and caused increased hospital services uses in people with unmet needs. Also the reforms did not decrease avoidable hospitalizations, and therefore had no efficiency effect. Cambridge University Press 2022-02-24 /pmc/articles/PMC9096179/ /pubmed/35197145 http://dx.doi.org/10.1017/S1463423618000300 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Salavati, Sedigheh Rashidian, Arash Hajimahmoodi, Hanan Ememgholipour, Sara Varahrami, Vida Khodayarimoez, Elham Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title | Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title_full | Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title_fullStr | Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title_full_unstemmed | Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title_short | Avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, Tehran province, Iran |
title_sort | avoidable hospitalization after family physician and rural health insurance: interrupted time series and regression analyses, tehran province, iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096179/ https://www.ncbi.nlm.nih.gov/pubmed/35197145 http://dx.doi.org/10.1017/S1463423618000300 |
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