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Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources

BACKGROUND: Accurate estimation of active general practitioners (GPs) is a concern for health authorities to estimate requirements. This study aimed to accurately estimate GPs active supply in Iran using three sources capture-recapture (CRC) method. METHODS: This cross-sectional study collected data...

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Autores principales: SHOKRI, Azad, AKBARI-SARI, Ali, BAYAT, Mahboubeh, KHODADOST, Mahmoud, RAHIMI FOROUSHANI, Abbas, MIRBAHAEDDIN, Elmira, FARZIANPOUR, Fereshteh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974864/
https://www.ncbi.nlm.nih.gov/pubmed/31993393
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author SHOKRI, Azad
AKBARI-SARI, Ali
BAYAT, Mahboubeh
KHODADOST, Mahmoud
RAHIMI FOROUSHANI, Abbas
MIRBAHAEDDIN, Elmira
FARZIANPOUR, Fereshteh
author_facet SHOKRI, Azad
AKBARI-SARI, Ali
BAYAT, Mahboubeh
KHODADOST, Mahmoud
RAHIMI FOROUSHANI, Abbas
MIRBAHAEDDIN, Elmira
FARZIANPOUR, Fereshteh
author_sort SHOKRI, Azad
collection PubMed
description BACKGROUND: Accurate estimation of active general practitioners (GPs) is a concern for health authorities to estimate requirements. This study aimed to accurately estimate GPs active supply in Iran using three sources capture-recapture (CRC) method. METHODS: This cross-sectional study collected data during 2015–2016, targeting all GPs registered in three independent data sources; a national survey from all hospitals, database of human resource management office at health ministry and physicians’ offices databank. Variables including medical council codes, GP names, surnames and national ID codes were used for data linkage among the three sources. Three sources CRC method was applied using log-linear models to estimate the total number of active GPs in STATA software. RESULTS: Overall, 27,048 GPs were identified after removing the duplicate records. Based on CRC three sources data, the total number of GPs were 53,630 in 2015–2016. Distribution of GPs per 1,000 population among the provinces indicates that provinces of Kohgiluyeh & Boyer Ahmad, Mazandaran, Golestan and Yazd with ratios of 1.28, 1.28, 1.21 and 1.17 physicians rank the highest proportion of GPs and the provinces of Sistan & Baluchestan, Ilam, Zanjan, Alborz, North Khorasan with corresponding ratios of 0.24, 0.40, 0.40, 0.43 and 0.45 GPs ranked the lowest. CONCLUSION: CRC method is known to be the best and rapidest method to estimate active GP due to its compatibility for the current situation of databanks in Iran. Therefore, this method is a good application in human resource distribution and planning.
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spelling pubmed-69748642020-01-28 Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources SHOKRI, Azad AKBARI-SARI, Ali BAYAT, Mahboubeh KHODADOST, Mahmoud RAHIMI FOROUSHANI, Abbas MIRBAHAEDDIN, Elmira FARZIANPOUR, Fereshteh Iran J Public Health Original Article BACKGROUND: Accurate estimation of active general practitioners (GPs) is a concern for health authorities to estimate requirements. This study aimed to accurately estimate GPs active supply in Iran using three sources capture-recapture (CRC) method. METHODS: This cross-sectional study collected data during 2015–2016, targeting all GPs registered in three independent data sources; a national survey from all hospitals, database of human resource management office at health ministry and physicians’ offices databank. Variables including medical council codes, GP names, surnames and national ID codes were used for data linkage among the three sources. Three sources CRC method was applied using log-linear models to estimate the total number of active GPs in STATA software. RESULTS: Overall, 27,048 GPs were identified after removing the duplicate records. Based on CRC three sources data, the total number of GPs were 53,630 in 2015–2016. Distribution of GPs per 1,000 population among the provinces indicates that provinces of Kohgiluyeh & Boyer Ahmad, Mazandaran, Golestan and Yazd with ratios of 1.28, 1.28, 1.21 and 1.17 physicians rank the highest proportion of GPs and the provinces of Sistan & Baluchestan, Ilam, Zanjan, Alborz, North Khorasan with corresponding ratios of 0.24, 0.40, 0.40, 0.43 and 0.45 GPs ranked the lowest. CONCLUSION: CRC method is known to be the best and rapidest method to estimate active GP due to its compatibility for the current situation of databanks in Iran. Therefore, this method is a good application in human resource distribution and planning. Tehran University of Medical Sciences 2019-12 /pmc/articles/PMC6974864/ /pubmed/31993393 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
SHOKRI, Azad
AKBARI-SARI, Ali
BAYAT, Mahboubeh
KHODADOST, Mahmoud
RAHIMI FOROUSHANI, Abbas
MIRBAHAEDDIN, Elmira
FARZIANPOUR, Fereshteh
Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title_full Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title_fullStr Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title_full_unstemmed Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title_short Estimate General Practitioners Active Supply in Iran: Capture-Recapture Method for Three Data Sources
title_sort estimate general practitioners active supply in iran: capture-recapture method for three data sources
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974864/
https://www.ncbi.nlm.nih.gov/pubmed/31993393
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