دورية أكاديمية

Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study.

التفاصيل البيبلوغرافية
العنوان: Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study.
المؤلفون: Wang, JianLi, Kharrat, Fatemeh Gholi Zadeh, Gariépy, Geneviève, Gagné, Christian, Pelletier, Jean-François, Massamba, Victoria Kubuta, Lévesque, Pascale, Mohammed, Mada, Lesage, Alain
المصدر: JMIR Public Health Surveill ; ISSN:2369-2960 ; Volume:10
بيانات النشر: JMIR Publications
سنة النشر: 2024
المجموعة: PubMed Central (PMC)
مصطلحات موضوعية: Canada, Quebec, adolescent, adolescents, anxiety, case-control, depression, development, female, health administrative data, male, mental health, population risk prediction, prevention, suicide, suicide prevention, teen, teenager, teenagers, teens, validation
الوصف: Suicide is a significant public health issue. Many risk prediction tools have been developed to estimate an individual's risk of suicide. Risk prediction models can go beyond individual risk assessment; one important application of risk prediction models is population health planning. Suicide is a result of the interaction among the risk and protective factors at the individual, health care system, and community levels. Thus, policy and decision makers can play an important role in suicide prevention. However, few prediction models for the population risk of suicide have been developed.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.2196/52773Test; https://pubmed.ncbi.nlm.nih.gov/38941610Test
DOI: 10.2196/52773
الإتاحة: https://doi.org/10.2196/52773Test
https://pubmed.ncbi.nlm.nih.gov/38941610Test
حقوق: ©JianLi Wang, Fatemeh Gholi Zadeh Kharrat, Geneviève Gariépy, Christian Gagné, Jean-François Pelletier, Victoria Kubuta Massamba, Pascale Lévesque, Mada Mohammed, Alain Lesage. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.orgTest), 28.06.2024.
رقم الانضمام: edsbas.8BD4F91E
قاعدة البيانات: BASE