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Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran
BACKGROUND: In Iran, tracking of patients and its associated data recording in private healthcare centers are poor, and thus a majority of patients suffering from Covid-19 are treated without any control on the isolation and quarantine processes. The present study aims to investigate the factors con...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261832/ https://www.ncbi.nlm.nih.gov/pubmed/37312132 http://dx.doi.org/10.1186/s12913-023-09640-z |
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author | Jafari, Nasrin Akbari, Hossein Sarbakhsh, Parvin Dorosti, Abbasali Khayatzadeh, Simin Mohammadpoorasl, Asghar |
author_facet | Jafari, Nasrin Akbari, Hossein Sarbakhsh, Parvin Dorosti, Abbasali Khayatzadeh, Simin Mohammadpoorasl, Asghar |
author_sort | Jafari, Nasrin |
collection | PubMed |
description | BACKGROUND: In Iran, tracking of patients and its associated data recording in private healthcare centers are poor, and thus a majority of patients suffering from Covid-19 are treated without any control on the isolation and quarantine processes. The present study aims to investigate the factors contributed to referral to private or public healthcare centers that provide Covid-19 care services. METHODS: This cross-sectional study was conducted from November 2021 to January 2022 in Tabriz, Iran. We invited a total of 258 and 202Covid-19 patients from governmental and private healthcare centers, respectively, to participate in the study by convenient sampling method. Applying a self-administered questionnaire, we collected data on the reason of referring to the healthcare centers, patient’s waiting time, quality of healthcare services received by the patients, patients’ level of satisfaction, accessibility, insurance coverage, perceived severity of the disease, and the level of staff compliance from health protocols. Logistic regression model was used for data analysis by using SPSS-26 software. RESULTS: Adjusted for other variables, higher socio-economic status (AOR (Adjusted Odds Ratio) = 6.64), older age (AOR = 1.02), referral of friends and family members (AOR = 1.52), shorter waiting time (AOR = 1.02) and higher satisfaction (AOR = 1.02) were contributed to referral to private centers. Better accessibility (AOR = 0.98) and wider insurance coverage (AOR = 0.99) were also contributed to referral to governmental centers. CONCLUSION: Providing more appropriate insurance coverage by private healthcare centers, and promoting their level of accessibility seems to promote patients’ referral to such centers. Moreover, establishing an accurate system for recording patients’ information and follow up in private centers might promote the role of private healthcare centers in managing the overload of patients on healthcare system during such epidemics. |
format | Online Article Text |
id | pubmed-10261832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102618322023-06-14 Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran Jafari, Nasrin Akbari, Hossein Sarbakhsh, Parvin Dorosti, Abbasali Khayatzadeh, Simin Mohammadpoorasl, Asghar BMC Health Serv Res Research BACKGROUND: In Iran, tracking of patients and its associated data recording in private healthcare centers are poor, and thus a majority of patients suffering from Covid-19 are treated without any control on the isolation and quarantine processes. The present study aims to investigate the factors contributed to referral to private or public healthcare centers that provide Covid-19 care services. METHODS: This cross-sectional study was conducted from November 2021 to January 2022 in Tabriz, Iran. We invited a total of 258 and 202Covid-19 patients from governmental and private healthcare centers, respectively, to participate in the study by convenient sampling method. Applying a self-administered questionnaire, we collected data on the reason of referring to the healthcare centers, patient’s waiting time, quality of healthcare services received by the patients, patients’ level of satisfaction, accessibility, insurance coverage, perceived severity of the disease, and the level of staff compliance from health protocols. Logistic regression model was used for data analysis by using SPSS-26 software. RESULTS: Adjusted for other variables, higher socio-economic status (AOR (Adjusted Odds Ratio) = 6.64), older age (AOR = 1.02), referral of friends and family members (AOR = 1.52), shorter waiting time (AOR = 1.02) and higher satisfaction (AOR = 1.02) were contributed to referral to private centers. Better accessibility (AOR = 0.98) and wider insurance coverage (AOR = 0.99) were also contributed to referral to governmental centers. CONCLUSION: Providing more appropriate insurance coverage by private healthcare centers, and promoting their level of accessibility seems to promote patients’ referral to such centers. Moreover, establishing an accurate system for recording patients’ information and follow up in private centers might promote the role of private healthcare centers in managing the overload of patients on healthcare system during such epidemics. BioMed Central 2023-06-13 /pmc/articles/PMC10261832/ /pubmed/37312132 http://dx.doi.org/10.1186/s12913-023-09640-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jafari, Nasrin Akbari, Hossein Sarbakhsh, Parvin Dorosti, Abbasali Khayatzadeh, Simin Mohammadpoorasl, Asghar Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title | Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title_full | Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title_fullStr | Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title_full_unstemmed | Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title_short | Factors associated to patients’ referral to public or private Covid-19 healthcare centers in Tabriz, Iran |
title_sort | factors associated to patients’ referral to public or private covid-19 healthcare centers in tabriz, iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261832/ https://www.ncbi.nlm.nih.gov/pubmed/37312132 http://dx.doi.org/10.1186/s12913-023-09640-z |
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