Psychosocial assessment and repetition of self-harm: The significance of single and multiple repeat episode analyses

被引:59
作者
Bergen, Helen [3 ]
Hawton, Keith [3 ]
Waters, Keith [1 ]
Cooper, Jayne [2 ]
Kapur, Navneet [2 ]
机构
[1] Derbyshire Mental Hlth Serv NHS Trust, Derby, England
[2] Univ Manchester, Ctr Suicide Prevent, Manchester M13 9PL, Lancs, England
[3] Univ Oxford, Ctr Suicide Res, Oxford OX1 2JD, England
关键词
Self-harm; Assessment; Repetition; Survival analysis; Recurrent events; FAILURE TIME DATA; TERM-FOLLOW-UP; NONFATAL REPETITION; SURVIVAL ANALYSIS; CLINICAL-TRIALS; SUICIDE; MULTICENTER; COHORT; RISK; PARASUICIDE;
D O I
10.1016/j.jad.2010.05.001
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:257 / 265
页数:9
相关论文
共 39 条
[1]   COX REGRESSION-MODEL FOR COUNTING-PROCESSES - A LARGE SAMPLE STUDY [J].
ANDERSEN, PK ;
GILL, RD .
ANNALS OF STATISTICS, 1982, 10 (04) :1100-1120
[2]  
[Anonymous], CR122 ROYAL COLL PSY
[3]   A comparative study of non-fatal self-poisoning with antidepressants relative to prescribing in three centres in England [J].
Bergen, Helen ;
Murphy, Elizabeth ;
Cooper, Jayne ;
Kapur, Navneet ;
Stalker, Carol ;
Waters, Keith ;
Hawton, Keith .
JOURNAL OF AFFECTIVE DISORDERS, 2010, 123 (1-3) :95-101
[4]   Repeat self-harm: application of hurdle models [J].
Bethell, Jennifer ;
Rhodes, Anne E. ;
Bondy, Susan J. ;
Lou, W. Y. Wendy ;
Guttmann, Astrid .
BRITISH JOURNAL OF PSYCHIATRY, 2010, 196 (03) :243-244
[5]   Non-fatal repetition of self-harm: population-based prospective cohort study in Taiwan [J].
Chen, Vincent C. H. ;
Tan, Happy K. L. ;
Cheng, Andrew T. A. ;
Chen, Chung-Ying ;
Liao, Long-Ren ;
Stewart, Robert ;
Dewey, Michael ;
Prince, Martin .
BRITISH JOURNAL OF PSYCHIATRY, 2010, 196 (01) :31-35
[6]  
Cleves Mario., 1999, Analysis of Multiple Failure-Time Data with Stata
[7]   Suicide after deliberate self-harm: A 4-year cohort study [J].
Cooper, J ;
Kapur, N ;
Webb, R ;
Lawlor, M ;
Guthrie, E ;
Mackway-Jones, K ;
Appleby, L .
AMERICAN JOURNAL OF PSYCHIATRY, 2005, 162 (02) :297-303
[8]  
Corporation Stata, 2007, STAT STAT SOFTW REL
[9]   Does initial management affect the rate of repetition of deliberate self harm? Cohort study [J].
Crawford, MJ ;
Wessely, S .
BRITISH MEDICAL JOURNAL, 1998, 317 (7164) :985-985
[10]  
GARSON GD, 2009, COX REGRESSION STATN