Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain
Introduction Suicide attempts represent an important public health burden. Centralised electronic health record (EHR) systems have high potential to provide suicide attempt surveillance, to inform public health action aimed at reducing risk for suicide attempt in the population, and to provide data-...
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BMJ Publishing Group
2020-07-01
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Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/10/7/e037365.full |
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author | Lars Mehlum Rosa Morros Gemma Vilagut Jordi Alonso Philippe Mortier Beatriz Puértolas Gracia Ana De Inés Trujillo Itxaso Alayo Bueno Laura Ballester Coma María Jesús Blasco Cubedo Narcís Cardoner Cristina Colls Matilde Elices Anna Garcia-Altes Manel Gené Badia Javier Gómez Sánchez Mario Martín Sánchez Bibiana Prat Pubill Ping Qin Diego Palao Víctor Pérez Sola |
author_facet | Lars Mehlum Rosa Morros Gemma Vilagut Jordi Alonso Philippe Mortier Beatriz Puértolas Gracia Ana De Inés Trujillo Itxaso Alayo Bueno Laura Ballester Coma María Jesús Blasco Cubedo Narcís Cardoner Cristina Colls Matilde Elices Anna Garcia-Altes Manel Gené Badia Javier Gómez Sánchez Mario Martín Sánchez Bibiana Prat Pubill Ping Qin Diego Palao Víctor Pérez Sola |
author_sort | Lars Mehlum |
collection | DOAJ |
description | Introduction Suicide attempts represent an important public health burden. Centralised electronic health record (EHR) systems have high potential to provide suicide attempt surveillance, to inform public health action aimed at reducing risk for suicide attempt in the population, and to provide data-driven clinical decision support for suicide risk assessment across healthcare settings. To exploit this potential, we designed the Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study. Using centralised EHR data from the entire public healthcare system of Catalonia, Spain, the CSRC-Epi study aims to estimate reliable suicide attempt incidence rates, identify suicide attempt risk factors and develop validated suicide attempt risk prediction tools.Methods and analysis The CSRC-Epi study is registry-based study, specifically, a two-stage exposure-enriched nested case–control study of suicide attempts during the period 2014–2019 in Catalonia, Spain. The primary study outcome consists of first and repeat attempts during the observation period. Cases will come from a case register linked to a suicide attempt surveillance programme, which offers in-depth psychiatric evaluations to all Catalan residents who present to clinical care with any suspected risk for suicide. Predictor variables will come from centralised EHR systems representing all relevant healthcare settings. The study’s sampling frame will be constructed using population-representative administrative lists of Catalan residents. Inverse probability weights will restore representativeness of the original population. Analysis will include the calculation of age-standardised and sex-standardised suicide attempt incidence rates. Logistic regression will identify suicide attempt risk factors on the individual level (ie, relative risk) and the population level (ie, population attributable risk proportions). Machine learning techniques will be used to develop suicide attempt risk prediction tools.Ethics and dissemination This protocol is approved by the Parc de Salut Mar Clinical Research Ethics Committee (2017/7431/I). Dissemination will include peer-reviewed scientific publications, scientific reports for hospital and government authorities, and updated clinical guidelines.Trial registration number NCT04235127. |
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publishDate | 2020-07-01 |
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spelling | doaj.art-d3e8f285a72e48199daeac60e78d92ca2022-12-22T02:38:42ZengBMJ Publishing GroupBMJ Open2044-60552020-07-0110710.1136/bmjopen-2020-037365Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, SpainLars Mehlum0Rosa Morros1Gemma Vilagut2Jordi Alonso3Philippe Mortier4Beatriz Puértolas Gracia5Ana De Inés Trujillo6Itxaso Alayo Bueno7Laura Ballester Coma8María Jesús Blasco Cubedo9Narcís Cardoner10Cristina Colls11Matilde Elices12Anna Garcia-Altes13Manel Gené Badia14Javier Gómez Sánchez15Mario Martín Sánchez16Bibiana Prat Pubill17Ping Qin18Diego Palao19Víctor Pérez Sola202National Centre for Suicide Research and Prevention, University of Oslo, Oslo, NorwayFundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainDepression and Anxiety Program, Department of Mental Health, Parc Taulí Sabadell, Hospital Universitari, Sabadell, SpainAgència de Qualitat i Avaluació Sanitàries de Catalunya - Health Evaluation and Quality Agency of Catalonia (AQuAS), Catalan Health Department, Barcelona, SpainCentro de Investigación en Red de Salud Mental, CIBERSAM, Madrid, SpainCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, SpainLegal Medicine Unit, Faculty of Medicine, University of Barcelona, Barcelona, SpainHealth Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, SpainPreventive Medicine and Public Health Training Unit PSMar-UPF-ASPB, Parc de Salut Mar, Agència de Salut Pública de Barcelona, Pompeu Fabra University, Barcelona, SpainMaster Plan on Mental Health and Addictions, Ministry of Health, Catalan Government, Barcelona, SpainNational Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Oslo, NorwayDepression and Anxiety Program, Department of Mental Health, Parc Taulí Sabadell, Hospital Universitari, Sabadell, SpainDepartment of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona (UAB), Cerdanyola Del Vallès, Barcelona, SpainIntroduction Suicide attempts represent an important public health burden. Centralised electronic health record (EHR) systems have high potential to provide suicide attempt surveillance, to inform public health action aimed at reducing risk for suicide attempt in the population, and to provide data-driven clinical decision support for suicide risk assessment across healthcare settings. To exploit this potential, we designed the Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study. Using centralised EHR data from the entire public healthcare system of Catalonia, Spain, the CSRC-Epi study aims to estimate reliable suicide attempt incidence rates, identify suicide attempt risk factors and develop validated suicide attempt risk prediction tools.Methods and analysis The CSRC-Epi study is registry-based study, specifically, a two-stage exposure-enriched nested case–control study of suicide attempts during the period 2014–2019 in Catalonia, Spain. The primary study outcome consists of first and repeat attempts during the observation period. Cases will come from a case register linked to a suicide attempt surveillance programme, which offers in-depth psychiatric evaluations to all Catalan residents who present to clinical care with any suspected risk for suicide. Predictor variables will come from centralised EHR systems representing all relevant healthcare settings. The study’s sampling frame will be constructed using population-representative administrative lists of Catalan residents. Inverse probability weights will restore representativeness of the original population. Analysis will include the calculation of age-standardised and sex-standardised suicide attempt incidence rates. Logistic regression will identify suicide attempt risk factors on the individual level (ie, relative risk) and the population level (ie, population attributable risk proportions). Machine learning techniques will be used to develop suicide attempt risk prediction tools.Ethics and dissemination This protocol is approved by the Parc de Salut Mar Clinical Research Ethics Committee (2017/7431/I). Dissemination will include peer-reviewed scientific publications, scientific reports for hospital and government authorities, and updated clinical guidelines.Trial registration number NCT04235127.https://bmjopen.bmj.com/content/10/7/e037365.full |
spellingShingle | Lars Mehlum Rosa Morros Gemma Vilagut Jordi Alonso Philippe Mortier Beatriz Puértolas Gracia Ana De Inés Trujillo Itxaso Alayo Bueno Laura Ballester Coma María Jesús Blasco Cubedo Narcís Cardoner Cristina Colls Matilde Elices Anna Garcia-Altes Manel Gené Badia Javier Gómez Sánchez Mario Martín Sánchez Bibiana Prat Pubill Ping Qin Diego Palao Víctor Pérez Sola Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain BMJ Open |
title | Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
title_full | Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
title_fullStr | Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
title_full_unstemmed | Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
title_short | Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
title_sort | catalonia suicide risk code epidemiology csrc epi study protocol for a population representative nested case control study of suicide attempts in catalonia spain |
url | https://bmjopen.bmj.com/content/10/7/e037365.full |
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