BACKGROUND: Self-harm is a common reason for presentation to the Emergency Department. An important question is whether psychosocial assessment reduces risk of repeated self-harm. Repetition has been investigated with survival analysis using various models, though many are not appropriate for recurrent events. METHODS: Survival analysis was used to investigate associations between psychosocial assessment following an episode of self-harm and subsequent repetition, including (i) one repeat, and (ii) recurrent repetition (≤5 repeats) using (a) an independent episodes model, and (b) a stratified episodes model based on a conditional risk set. Data were from the Multicentre Study on Self-harm in England, 2000 to 2007. RESULTS: Psychosocial assessment following an index episode of self-harm was associated with a 51% (95% CI 42%-58%) decreased risk of a repeat episode in persons with no psychiatric treatment history, and 26% (95% CI 8%-34%) decreased risk in those with a treatment history. For recurrent repetition, assessment was associated with a 57% (95% CI 51%-63%) decreased risk of repetition assuming independent episodes, and 13% (95% CI 1%-24%) decreased risk accounting for ordering and correlation of episodes by the same person (stratified episodes model). All models controlled for age, gender, method, history of self-harm, and centre differences. LIMITATIONS: Some missing data on psychiatric treatment for non-assessed patients. CONCLUSIONS: Psychosocial assessment appeared to be beneficial in reducing the risk of repetition, especially in the short-term. Findings for recurrent repetition were highly dependent on model assumptions. Analyses should fully account for ordering and correlation of episodes by the same person.
BACKGROUND: Self-harm is a common reason for presentation to the Emergency Department. An important question is whether psychosocial assessment reduces risk of repeated self-harm. Repetition has been investigated with survival analysis using various models, though many are not appropriate for recurrent events. METHODS: Survival analysis was used to investigate associations between psychosocial assessment following an episode of self-harm and subsequent repetition, including (i) one repeat, and (ii) recurrent repetition (≤5 repeats) using (a) an independent episodes model, and (b) a stratified episodes model based on a conditional risk set. Data were from the Multicentre Study on Self-harm in England, 2000 to 2007. RESULTS:Psychosocial assessment following an index episode of self-harm was associated with a 51% (95% CI 42%-58%) decreased risk of a repeat episode in persons with no psychiatric treatment history, and 26% (95% CI 8%-34%) decreased risk in those with a treatment history. For recurrent repetition, assessment was associated with a 57% (95% CI 51%-63%) decreased risk of repetition assuming independent episodes, and 13% (95% CI 1%-24%) decreased risk accounting for ordering and correlation of episodes by the same person (stratified episodes model). All models controlled for age, gender, method, history of self-harm, and centre differences. LIMITATIONS: Some missing data on psychiatric treatment for non-assessed patients. CONCLUSIONS:Psychosocial assessment appeared to be beneficial in reducing the risk of repetition, especially in the short-term. Findings for recurrent repetition were highly dependent on model assumptions. Analyses should fully account for ordering and correlation of episodes by the same person.
Authors: Keith Hawton; Helen Bergen; Keith Waters; Jennifer Ness; Jayne Cooper; Sarah Steeg; Navneet Kapur Journal: Eur Child Adolesc Psychiatry Date: 2012-03-25 Impact factor: 4.785
Authors: R Carroll; P Corcoran; E Griffin; I Perry; E Arensman; D Gunnell; C Metcalfe Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2016-06-14 Impact factor: 4.328
Authors: Leah Quinlivan; Jayne Cooper; Declan Meehan; Damien Longson; John Potokar; Tom Hulme; Jennifer Marsden; Fiona Brand; Kezia Lange; Elena Riseborough; Lisa Page; Chris Metcalfe; Linda Davies; Rory O'Connor; Keith Hawton; David Gunnell; Nav Kapur Journal: Br J Psychiatry Date: 2017-03-16 Impact factor: 9.319
Authors: Nav Kapur; Sarah Steeg; Roger Webb; Matthew Haigh; Helen Bergen; Keith Hawton; Jennifer Ness; Keith Waters; Jayne Cooper Journal: PLoS One Date: 2013-08-01 Impact factor: 3.240