Catalonia Suicide Risk Code Epidemiology (CSRC-Epi) study: Protocol for a population-representative nested case-control study of suicide attempts in Catalonia, Spain
Por:
Mortier P., Vilagut G., Puértolas Gracia B., De Inés Trujillo A., Alayo Bueno I., Ballester Coma L., Blasco Cubedo M.J., Cardoner N., Colls C., Elices M., Garcia-Altes A., Gené Badia M., Gómez Sánchez J., Martín Sánchez M., Morros R., Prat Pubill B., Qin P., Mehlum L., Kessler R.C., Palao D., Pérez Sola V., Alonso J.
Publicada:
1 ene 2020
Resumen:
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. © 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.
Filiaciones:
Mortier P.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Vilagut G.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Puértolas Gracia B.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
De Inés Trujillo A.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
Department of Social Psychology, Autonomous University of Barcelona (UAB), Cerdanyola Del Vallès, Barcelona, Spain
Alayo Bueno I.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Ballester Coma L.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Department of Psychology, University of Girona (UdG), Girona, Spain
Blasco Cubedo M.J.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Department of Health and Experimental Sciences, Pompeu Fabra University (UPF), Barcelona, Spain
Cardoner N.:
Depression and Anxiety Program, Department of Mental Health, Parc Taulí Sabadell, Hospital Universitari, Sabadell, Spain
Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona (UAB), Cerdanyola Del Vallès, Barcelona, Spain
Centro de Investigación en Red de Salud Mental, Cibersam, Madrid, Spain
Institut d'Investigació i Innovació Parc Taulí (I3PT), Sabadell, Barcelona, Spain
Colls C.:
Agència de Qualitat i Avaluació Sanitàries de Catalunya, Health Evaluation and Quality Agency of Catalonia (AQuAS), Catalan Health Department, Barcelona, Spain
Elices M.:
Centro de Investigación en Red de Salud Mental, Cibersam, Madrid, Spain
Neurosciences Research Programme, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
Garcia-Altes A.:
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Agència de Qualitat i Avaluació Sanitàries de Catalunya, Health Evaluation and Quality Agency of Catalonia (AQuAS), Catalan Health Department, Barcelona, Spain
Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain
Gené Badia M.:
Legal Medicine Unit, Faculty of Medicine, University of Barcelona, Barcelona, Spain
Gómez Sánchez J.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
Martín Sánchez M.:
Preventive Medicine and Public Health Training Unit PSMar-UPF-ASPB, Parc de Salut Mar, Agència de Salut Pública de Barcelona, Pompeu Fabra University, Barcelona, Spain
Morros R.:
Fundacio Inst. Universitari per A la Recerca A l'Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
Departament de Farmacologia, De Terapèutica i de Toxicologia, Universitat Autònoma de Barcelona, Barcelona, Spain
Institut Català de la Salut (ICS), Metropolitana Nord, Barcelona, Spain
Prat Pubill B.:
Master Plan on Mental Health and Addictions, Ministry of Health Catalan Government, Barcelona, Spain
Qin P.:
National Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Mehlum L.:
National Centre for Suicide Research and Prevention, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Kessler R.C.:
Department of Health Care Policy, Harvard Medical School, Boston, MA, United States
Palao D.:
Depression and Anxiety Program, Department of Mental Health, Parc Taulí Sabadell, Hospital Universitari, Sabadell, Spain
Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona (UAB), Cerdanyola Del Vallès, Barcelona, Spain
Centro de Investigación en Red de Salud Mental, Cibersam, Madrid, Spain
Institut d'Investigació i Innovació Parc Taulí (I3PT), Sabadell, Barcelona, Spain
Pérez Sola V.:
Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona (UAB), Cerdanyola Del Vallès, Barcelona, Spain
Centro de Investigación en Red de Salud Mental, Cibersam, Madrid, Spain
Neurosciences Research Programme, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
Institut de Neuropsiquiatria i Addiccions, Hospital Del Mar, Barcelona, Spain
Alonso J.:
Health Services Research Group, Imim Hospital Del Mar Medical Research Institute, Barcelona, Spain
CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
Department of Health and Experimental Sciences, Pompeu Fabra University (UPF), Barcelona, Spain
Green Published, gold, All Open Access, Gold, Green
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