Cargando…

A model to explain road traffic data collection and registry in Iran: a grounded theory

BACKGROUND: Sufficient data should be gathered and analyzed to increase awareness and attention of the community and policymakers in the field of road traffic injury (RTI) prevention. While various organizations and stakeholders are involved in road traffic crashes, there is no clear lead agency for...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharifian, Sakineh, Khani Jazani, Reza, Khorasani-Zavareh, Davoud, Sadeghi-Bazargani, Homayoun, Vaziri, Mohammad Hossein, Mohammadi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kermanshah University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435081/
https://www.ncbi.nlm.nih.gov/pubmed/33875628
http://dx.doi.org/10.5249/jivr.vo113i2.1406
_version_ 1783751717123260416
author Sharifian, Sakineh
Khani Jazani, Reza
Khorasani-Zavareh, Davoud
Sadeghi-Bazargani, Homayoun
Vaziri, Mohammad Hossein
Mohammadi, Reza
author_facet Sharifian, Sakineh
Khani Jazani, Reza
Khorasani-Zavareh, Davoud
Sadeghi-Bazargani, Homayoun
Vaziri, Mohammad Hossein
Mohammadi, Reza
author_sort Sharifian, Sakineh
collection PubMed
description BACKGROUND: Sufficient data should be gathered and analyzed to increase awareness and attention of the community and policymakers in the field of road traffic injury (RTI) prevention. While various organizations and stakeholders are involved in road traffic crashes, there is no clear lead agency for data collection system in RTIs. Exploring stakeholders' perspective is one of the key sources for understanding this system. The purpose of this study is to identify the process of RTI data collection system based on stakeholders’ experience. METHODS: This qualitative study was conducted employing grounded theory approach since September 2017 to December 2018 in Iran. Participants in this study were the authorities of the Emergency organizations, police, Ministry of Health and Medical Education, faculty members, as well as executive staff and road users who were involved in collecting and recording data (n=15). Data collection was carried out through face-to-face interviews using purposeful and theoretical sampling. Data analysis was performed based on Strauss and Corbin 2008. RESULTS: The core category was identified as “separated registration” explaining the process of collecting and recording road traffic injury data. Other variables obtained using the Strauss and Corbin Paradigm model were categorized as context, casual, intervening, strategies, and outcomes factors. The findings were classified into five groups including lack of trust in road safety promotion, process factors, management and organizational factors, failure of quality assurance, and administrative and organizational culture. CONCLUSIONS: The most important theory is “separated registration” and non-systematic registry system of road traffic injury data which is shown in a conceptual model. The findings of this study will help policymakers for better understanding the collecting and recording of RTI information.
format Online
Article
Text
id pubmed-8435081
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Kermanshah University of Medical Sciences
record_format MEDLINE/PubMed
spelling pubmed-84350812021-09-15 A model to explain road traffic data collection and registry in Iran: a grounded theory Sharifian, Sakineh Khani Jazani, Reza Khorasani-Zavareh, Davoud Sadeghi-Bazargani, Homayoun Vaziri, Mohammad Hossein Mohammadi, Reza J Inj Violence Res Injury &Violence BACKGROUND: Sufficient data should be gathered and analyzed to increase awareness and attention of the community and policymakers in the field of road traffic injury (RTI) prevention. While various organizations and stakeholders are involved in road traffic crashes, there is no clear lead agency for data collection system in RTIs. Exploring stakeholders' perspective is one of the key sources for understanding this system. The purpose of this study is to identify the process of RTI data collection system based on stakeholders’ experience. METHODS: This qualitative study was conducted employing grounded theory approach since September 2017 to December 2018 in Iran. Participants in this study were the authorities of the Emergency organizations, police, Ministry of Health and Medical Education, faculty members, as well as executive staff and road users who were involved in collecting and recording data (n=15). Data collection was carried out through face-to-face interviews using purposeful and theoretical sampling. Data analysis was performed based on Strauss and Corbin 2008. RESULTS: The core category was identified as “separated registration” explaining the process of collecting and recording road traffic injury data. Other variables obtained using the Strauss and Corbin Paradigm model were categorized as context, casual, intervening, strategies, and outcomes factors. The findings were classified into five groups including lack of trust in road safety promotion, process factors, management and organizational factors, failure of quality assurance, and administrative and organizational culture. CONCLUSIONS: The most important theory is “separated registration” and non-systematic registry system of road traffic injury data which is shown in a conceptual model. The findings of this study will help policymakers for better understanding the collecting and recording of RTI information. Kermanshah University of Medical Sciences 2021-07 /pmc/articles/PMC8435081/ /pubmed/33875628 http://dx.doi.org/10.5249/jivr.vo113i2.1406 Text en https://creativecommons.org/licenses/by/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Injury &Violence
Sharifian, Sakineh
Khani Jazani, Reza
Khorasani-Zavareh, Davoud
Sadeghi-Bazargani, Homayoun
Vaziri, Mohammad Hossein
Mohammadi, Reza
A model to explain road traffic data collection and registry in Iran: a grounded theory
title A model to explain road traffic data collection and registry in Iran: a grounded theory
title_full A model to explain road traffic data collection and registry in Iran: a grounded theory
title_fullStr A model to explain road traffic data collection and registry in Iran: a grounded theory
title_full_unstemmed A model to explain road traffic data collection and registry in Iran: a grounded theory
title_short A model to explain road traffic data collection and registry in Iran: a grounded theory
title_sort model to explain road traffic data collection and registry in iran: a grounded theory
topic Injury &Violence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435081/
https://www.ncbi.nlm.nih.gov/pubmed/33875628
http://dx.doi.org/10.5249/jivr.vo113i2.1406
work_keys_str_mv AT sharifiansakineh amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT khanijazanireza amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT khorasanizavarehdavoud amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT sadeghibazarganihomayoun amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT vazirimohammadhossein amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT mohammadireza amodeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT sharifiansakineh modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT khanijazanireza modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT khorasanizavarehdavoud modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT sadeghibazarganihomayoun modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT vazirimohammadhossein modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory
AT mohammadireza modeltoexplainroadtrafficdatacollectionandregistryiniranagroundedtheory