Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran
Abstract Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set...
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-022-01925-3 |
| _version_ | 1818474168080924672 |
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| author | Mohsen Shafiee Mohammad Mahboubi Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi |
| author_facet | Mohsen Shafiee Mohammad Mahboubi Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi |
| author_sort | Mohsen Shafiee |
| collection | DOAJ |
| description | Abstract Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set (MDS) for suicidal behaviors surveillance. Methods A literature review was first conducted to achieve a thorough overview of suicide-related items and map the existing evidence supporting the development of the MDS. The data items included in the literature review were then analyzed using a two-round Delphi technique with content validation by an expert panel. The suicidal behaviors surveillance system was then established based on the confirmed MDS, and ultimately, its performance was assessed by involving the end-users. Results The panel of experts consisted of 50 experts who participated in the Delphi phase and validity content review. Of these, 46% were men, and their mean age and average work experience were (36.4, SD ± 6.4) and (12.32, SD ± 5.2) years, respectively. The final MDS platform of our study contained 108 items classified into eight main categories. A web-based system with a modular and layered architecture was developed based on the derived MDS. Conclusion The developed system provides a framework for recording suicidal behaviors' data. The integration of multiple suicide-related information systems at the regional and national levels makes it possible to assess the long-term outcomes and evolutions of suicide prevention interventions. |
| first_indexed | 2024-04-14T04:33:22Z |
| format | Article |
| id | doaj.art-d14011ad162b4c01bfbfeebe612247d7 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-04-14T04:33:22Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-d14011ad162b4c01bfbfeebe612247d72022-12-22T02:11:59ZengBMCBMC Medical Informatics and Decision Making1472-69472022-07-0122111510.1186/s12911-022-01925-3Design, development, and evaluation of a surveillance system for suicidal behaviors in IranMohsen Shafiee0Mohammad Mahboubi1Mostafa Shanbehzadeh2Hadi Kazemi-Arpanahi3Department of Nursing, Abadan University of Medical SciencesDepartment of Public Health, Abadan University of Medical SciencesDepartment of Health Information Technology, School of Paramedical, Ilam University of Medical SciencesDepartment of Health Information Technology, Abadan University of Medical SciencesAbstract Background Suicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set (MDS) for suicidal behaviors surveillance. Methods A literature review was first conducted to achieve a thorough overview of suicide-related items and map the existing evidence supporting the development of the MDS. The data items included in the literature review were then analyzed using a two-round Delphi technique with content validation by an expert panel. The suicidal behaviors surveillance system was then established based on the confirmed MDS, and ultimately, its performance was assessed by involving the end-users. Results The panel of experts consisted of 50 experts who participated in the Delphi phase and validity content review. Of these, 46% were men, and their mean age and average work experience were (36.4, SD ± 6.4) and (12.32, SD ± 5.2) years, respectively. The final MDS platform of our study contained 108 items classified into eight main categories. A web-based system with a modular and layered architecture was developed based on the derived MDS. Conclusion The developed system provides a framework for recording suicidal behaviors' data. The integration of multiple suicide-related information systems at the regional and national levels makes it possible to assess the long-term outcomes and evolutions of suicide prevention interventions.https://doi.org/10.1186/s12911-022-01925-3SuicideSuicide behaviorSurveillance systemMinimum data set |
| spellingShingle | Mohsen Shafiee Mohammad Mahboubi Mostafa Shanbehzadeh Hadi Kazemi-Arpanahi Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran BMC Medical Informatics and Decision Making Suicide Suicide behavior Surveillance system Minimum data set |
| title | Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran |
| title_full | Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran |
| title_fullStr | Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran |
| title_full_unstemmed | Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran |
| title_short | Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran |
| title_sort | design development and evaluation of a surveillance system for suicidal behaviors in iran |
| topic | Suicide Suicide behavior Surveillance system Minimum data set |
| url | https://doi.org/10.1186/s12911-022-01925-3 |
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