Pattern of encounters to emergency departments for suicidal attempts in France: Identification of high-risk days, months and holiday periods.

Clinical governance Epidemiology Gouvernance clinique Suicide Épidémiologie

Journal

L'Encephale
ISSN: 0013-7006
Titre abrégé: Encephale
Pays: France
ID NLM: 7505643

Informations de publication

Date de publication:
04 Feb 2024
Historique:
received: 25 06 2023
revised: 04 11 2023
accepted: 08 11 2023
medline: 6 2 2024
pubmed: 6 2 2024
entrez: 5 2 2024
Statut: aheadofprint

Résumé

Seasonal change in patterns of suicidal attempts is not well known in France and may differ from other western countries. We aimed to determine the peak times (days, months and holiday periods) of suicidal attempts in France. We carried out a multicentre retrospective epidemiological study, using data from the Organization for Coordinated Monitoring of Emergencies (OSCOUR®) network. We aggregated daily data from January 1, 2010, to December 31, 2019. Variations in suicidal attempts on specific days were investigated by comparing their frequencies (ad hoc Z-scores). 114,805,488 ED encounters were recorded including 233,242 ED encounters regarding suicidal attempts. Men accounted for 45.7%. A significantly higher frequency of ED encounters for suicidal acts were found on Sundays in the months of May-June for both sexes and on New Year's Day for all genders and age groups. An increased risk was also noted on July 14th (National Day) and June 22nd (Summer Solstice). A protective effect was noted on the day after Valentine's Day, on Christmas Day and Christmas time (in particular December 24 and 26). Sundays, June, New Year's Day were at increased risk of suicidal attempts in France requiring a strengthening of prevention.

Identifiants

pubmed: 38316568
pii: S0013-7006(24)00008-3
doi: 10.1016/j.encep.2023.11.018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

Michaël Rochoy (M)

University Lille, Department of General Practice/Family Medicine, 59000 Lille, France; University Lille, CHU Lille, ULR 2694-METRICS: Evaluation des technologies de santé et des pratiques médicales, 59000 Lille, France. Electronic address: Michael.rochoy@gmail.com.

Isabelle Pontais (I)

Santé publique France, French National Public Health Agency, Data science Division, 94415 Saint-Maurice, France.

Céline Caserio-Schönemann (C)

Santé publique France, French National Public Health Agency, Data science Division, 94415 Saint-Maurice, France.

Christine Chan-Chee (C)

Santé publique France, French National Public Health Agency, Data science Division, 94415 Saint-Maurice, France.

Luce Gainet (L)

University Lille, Department of General Practice/Family Medicine, 59000 Lille, France.

Yann Gobert (Y)

University Lille, Department of General Practice/Family Medicine, 59000 Lille, France.

Jan Baran (J)

University Lille, CHU Lille, ULR 2694-METRICS: Evaluation des technologies de santé et des pratiques médicales, 59000 Lille, France.

Vincent Dodin (V)

GHICL, Service de psychiatrie, Saint-Vincent de Paul Hospital, 59000 Lille, France.

Luc Defebvre (L)

University Lille, CHU Lille, Inserm, UMR-S1172 - Lille Neuroscience & Cognition, Movement Disorders Department, 59000 Lille, France.

Claire Collins (C)

Research Department, Irish College of General Practitioners, 4-5 Lincoln Place, Dublin 2, Ireland.

Emmanuel Chazard (E)

University Lille, CHU Lille, ULR 2694-METRICS: Evaluation des technologies de santé et des pratiques médicales, 59000 Lille, France.

Christophe Berkhout (C)

University Lille, Department of General Practice/Family Medicine, 59000 Lille, France; University of Antwerp, Department of primary and interprofessional care, B-2000, Antwerp, Belgium.

Pierre Balayé (P)

University Lille, CHU Lille, ULR 2694-METRICS: Evaluation des technologies de santé et des pratiques médicales, 59000 Lille, France.

Classifications MeSH