Establishing a minimum data set for suicide and attempted suicide registry system in Iran
Abstract Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to est...
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Format: | Article |
Language: | English |
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BMC
2022-04-01
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Series: | BMC Public Health |
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Online Access: | https://doi.org/10.1186/s12889-022-13276-9 |
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author | Mohsen Shafiee Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi |
author_facet | Mohsen Shafiee Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi |
author_sort | Mohsen Shafiee |
collection | DOAJ |
description | Abstract Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to establish a minimum data set (MDS) for integrating data across suicide registries and other data sources. Methods The MDS proposed in this study was developed in two-stepwise stages. First, an extensive literature review was performed in order to identify the potential data items. Then, we conducted a two-round Delphi stage to reach a consensus among experts regarding essential data items and a supplementary one-round Delphi stage for validating the content of the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and using other statistical tests. Results After the literature review, 189 data items were extracted and sent to a panel of experts in the form of a questionnaire. In the Delphi stage and CVI calculation, 55 and 10 experts participated in kappa and CVR calculation, respectively. Finally, the MDS of the suicide registry was finalized with 84 data elements that were classified into four categories, including patient profile, socio-economic status, clinical and psychopathological status, and suicide circumstances. Conclusions The suicide MDS can become a standardized and consistent infrastructure for meaningful evaluations, reporting, and benchmarking of suicidal behaviors across regions and countries. We hope this MDS will facilitate epidemiological surveys and support policymakers by providing higher quality data capture to guide clinical practice and improve patient-centered outcomes. |
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format | Article |
id | doaj.art-844b07630c5d4f83ab5983e46578f2f5 |
institution | Directory Open Access Journal |
issn | 1471-2458 |
language | English |
last_indexed | 2024-04-13T23:50:01Z |
publishDate | 2022-04-01 |
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series | BMC Public Health |
spelling | doaj.art-844b07630c5d4f83ab5983e46578f2f52022-12-22T02:24:07ZengBMCBMC Public Health1471-24582022-04-0122111210.1186/s12889-022-13276-9Establishing a minimum data set for suicide and attempted suicide registry system in IranMohsen Shafiee0Mostafa Shanbehzadeh1Hadi Kazemi-Arpanahi2Department of Nursing, Abadan University of Medical SciencesDepartment of Health Information Technology, Ilam University of Medical SciencesDepartment of Health Information Technology, Abadan University of Medical SciencesAbstract Background Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to establish a minimum data set (MDS) for integrating data across suicide registries and other data sources. Methods The MDS proposed in this study was developed in two-stepwise stages. First, an extensive literature review was performed in order to identify the potential data items. Then, we conducted a two-round Delphi stage to reach a consensus among experts regarding essential data items and a supplementary one-round Delphi stage for validating the content of the final MDS by calculating the individual item content validity index (CVI) and content validity ratio (CVR) and using other statistical tests. Results After the literature review, 189 data items were extracted and sent to a panel of experts in the form of a questionnaire. In the Delphi stage and CVI calculation, 55 and 10 experts participated in kappa and CVR calculation, respectively. Finally, the MDS of the suicide registry was finalized with 84 data elements that were classified into four categories, including patient profile, socio-economic status, clinical and psychopathological status, and suicide circumstances. Conclusions The suicide MDS can become a standardized and consistent infrastructure for meaningful evaluations, reporting, and benchmarking of suicidal behaviors across regions and countries. We hope this MDS will facilitate epidemiological surveys and support policymakers by providing higher quality data capture to guide clinical practice and improve patient-centered outcomes.https://doi.org/10.1186/s12889-022-13276-9SuicideAttemptedCommon data elementsRegistriesRisk factorsData collection |
spellingShingle | Mohsen Shafiee Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi Establishing a minimum data set for suicide and attempted suicide registry system in Iran BMC Public Health Suicide Attempted Common data elements Registries Risk factors Data collection |
title | Establishing a minimum data set for suicide and attempted suicide registry system in Iran |
title_full | Establishing a minimum data set for suicide and attempted suicide registry system in Iran |
title_fullStr | Establishing a minimum data set for suicide and attempted suicide registry system in Iran |
title_full_unstemmed | Establishing a minimum data set for suicide and attempted suicide registry system in Iran |
title_short | Establishing a minimum data set for suicide and attempted suicide registry system in Iran |
title_sort | establishing a minimum data set for suicide and attempted suicide registry system in iran |
topic | Suicide Attempted Common data elements Registries Risk factors Data collection |
url | https://doi.org/10.1186/s12889-022-13276-9 |
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