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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359191/ https://www.ncbi.nlm.nih.gov/pubmed/32660952 http://dx.doi.org/10.1136/bmjopen-2020-037365 |
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author | Mortier, Philippe Vilagut, Gemma Puértolas Gracia, Beatriz De Inés Trujillo, Ana Alayo Bueno, Itxaso Ballester Coma, Laura Blasco Cubedo, María Jesús Cardoner, Narcís Colls, Cristina Elices, Matilde Garcia-Altes, Anna Gené Badia, Manel Gómez Sánchez, Javier Martín Sánchez, Mario Morros, Rosa Prat Pubill, Bibiana Qin, Ping Mehlum, Lars Kessler, Ronald C Palao, Diego Pérez Sola, Víctor Alonso, Jordi |
author_facet | Mortier, Philippe Vilagut, Gemma Puértolas Gracia, Beatriz De Inés Trujillo, Ana Alayo Bueno, Itxaso Ballester Coma, Laura Blasco Cubedo, María Jesús Cardoner, Narcís Colls, Cristina Elices, Matilde Garcia-Altes, Anna Gené Badia, Manel Gómez Sánchez, Javier Martín Sánchez, Mario Morros, Rosa Prat Pubill, Bibiana Qin, Ping Mehlum, Lars Kessler, Ronald C Palao, Diego Pérez Sola, Víctor Alonso, Jordi |
author_sort | Mortier, Philippe |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7359191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-73591912020-07-16 Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain Mortier, Philippe Vilagut, Gemma Puértolas Gracia, Beatriz De Inés Trujillo, Ana Alayo Bueno, Itxaso Ballester Coma, Laura Blasco Cubedo, María Jesús Cardoner, Narcís Colls, Cristina Elices, Matilde Garcia-Altes, Anna Gené Badia, Manel Gómez Sánchez, Javier Martín Sánchez, Mario Morros, Rosa Prat Pubill, Bibiana Qin, Ping Mehlum, Lars Kessler, Ronald C Palao, Diego Pérez Sola, Víctor Alonso, Jordi BMJ Open Mental Health 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. BMJ Publishing Group 2020-07-12 /pmc/articles/PMC7359191/ /pubmed/32660952 http://dx.doi.org/10.1136/bmjopen-2020-037365 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Mental Health Mortier, Philippe Vilagut, Gemma Puértolas Gracia, Beatriz De Inés Trujillo, Ana Alayo Bueno, Itxaso Ballester Coma, Laura Blasco Cubedo, María Jesús Cardoner, Narcís Colls, Cristina Elices, Matilde Garcia-Altes, Anna Gené Badia, Manel Gómez Sánchez, Javier Martín Sánchez, Mario Morros, Rosa Prat Pubill, Bibiana Qin, Ping Mehlum, Lars Kessler, Ronald C Palao, Diego Pérez Sola, Víctor Alonso, Jordi Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case–control study of suicide attempts in Catalonia, Spain |
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 |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359191/ https://www.ncbi.nlm.nih.gov/pubmed/32660952 http://dx.doi.org/10.1136/bmjopen-2020-037365 |
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