Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case-control study of suicide attempts in Catalonia, Spain

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  • dc.contributor.author Mortier, Philippe
  • dc.contributor.author Vilagut Saiz, Gemma, 1975-
  • dc.contributor.author Puértolas Gracia, Beatriz
  • dc.contributor.author De Inés Trujillo, Ana
  • dc.contributor.author Alayo, Itxaso
  • dc.contributor.author Ballester, Laura
  • dc.contributor.author Blasco Cubedo, Maria Jesús
  • dc.contributor.author Elices, Matilde
  • dc.contributor.author Gómez Sánchez, Javier
  • dc.contributor.author Martín Sánchez, Mario
  • dc.contributor.author Pérez Solá, Victor
  • dc.contributor.author Alonso Caballero, Jordi
  • dc.contributor.author CODIRISC Epidemiology Study Group
  • dc.date.accessioned 2020-09-15T06:27:12Z
  • dc.date.available 2020-09-15T06:27:12Z
  • dc.date.issued 2020
  • dc.description.abstract 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.
  • dc.description.sponsorship This project was supported by ISCIII/FEDER PI17/00521, ISCIII/FEDER PI17/01205, and Generalitat de Catalunya (2017 SGR 452). The Catalonia Suicide Risk Code surveillance programme is an initiative of the Mental Health and Addictions Plan of the Department of Health of the Catalan Government. PM has a Sara Borrell research contract awarded by the ISCIII (CD18/00049). ME has a Juan de la Cierva research contract awarded by the ISCIII (FJCI-2017–31738). VPS and ME want to thank unrestricted research funding from Secretaria d′Universitats i Recerca del Departament d′Economia i Coneixement (2017 SGR 134 to ‘Mental Health Research Group’), and Generalitat de Catalunya (Government of Catalonia). BPG and ADIT received funding from ISCIII FI18/00012 and FPU2017-06447, respectively. LBC received funding by Ministerio de Educación, Cultura y Deporte (FPU15/05728). DP and JA received funding by ISCIII/FEDER PI17/01205.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Mortier P, Vilagut G, Puértolas Gracia B, De Inés Trujillo A, Alayo Bueno I, Ballester Coma L et al. 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. 2020; 10(7):e037365. DOI: 10.1136/bmjopen-2020-037365
  • dc.identifier.doi http://dx.doi.org/10.1136/bmjopen-2020-037365
  • dc.identifier.issn 2044-6055
  • dc.identifier.uri http://hdl.handle.net/10230/45286
  • dc.language.iso eng
  • dc.publisher BMJ Publishing Group
  • dc.relation.ispartof BMJ Open. 2020; 10(7):e037365
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/FPU2017-06447
  • dc.rights © 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. 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/.
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
  • dc.subject.keyword Epidemiology
  • dc.subject.keyword Mental health
  • dc.subject.keyword Psychiatry
  • dc.subject.keyword Public health
  • dc.subject.keyword Statistics & research methods
  • dc.subject.keyword Suicide & self-harm
  • dc.title Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: protocol for a population-representative nested case-control study of suicide attempts in Catalonia, Spain
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion