Effectiveness of a Suicide Prevention Module for Adults in Substance Use Disorder Treatment: A Stepped-Wedge Cluster-Randomized Clinical Trial

Richard K Ries, Adam L Livengood, David Huh, Amanda H Kerbrat, Martina Fruhbauerova, Brianna Turner, Katherine Anne Comtois, Richard K Ries, Adam L Livengood, David Huh, Amanda H Kerbrat, Martina Fruhbauerova, Brianna Turner, Katherine Anne Comtois

Abstract

Importance: Individuals with substance use disorders (SUDs) are at high risk for suicide. The Preventing Addiction Related Suicide (PARS) module is the first suicide prevention module developed in and for community substance use intensive outpatient programs (IOPs).

Objective: To evaluate the effectiveness of PARS on suicide-related outcomes (ie, knowledge, attitudes, and help-seeking behavior) compared with usual care.

Design, setting, and participants: This stepped-wedge cluster-randomized clinical trial was conducted from 2017 to 2020, with follow-up assessments conducted after treatment and at 1, 3, and 6 months. Participants included adult outpatients in SUD treatment at community IOPs across western Washington state. Data were analyzed from July 1, 2020, to January 20, 2022.

Interventions: The intervention, PARS, was a 1-session secondary prevention module administered by trained SUD counselors consisting of didactic presentations and group discussions about suicide risk factors, warning signs, and actions to take if suicide risk is observed in self or others. The control group received usual care.

Main outcomes and measures: Primary outcomes were suicide knowledge, attitudes about suicide, and help-seeking behavior among patients enrolled in an IOP.

Results: A total of 906 participants (mean [SD] age, 37.5 [12.0] years; 540 [59.6%] men) were included, with 478 participants receiving usual care and 428 participants receiving PARS. In intent-to-treat analysis from baseline to after treatment, there was a greater improvement in suicide knowledge (d = 0.15; 95% CI, 0.08 to 0.23; P < .001) and a greater reduction in maladaptive attitudes (d = 0.18; 95% CI, 0.14 to 0.25; P < .001) for PARS participants compared with those receiving usual care. Improvements were maintained at follow-up for suicide knowledge (1 month: d = 0.16; 95% CI, 0.07 to 0.22; P < .001; 3 months: d = 0.12; 95% CI, 0.05 to 0.19; P = .001; 6 months: d = 0.13; 95% CI, 0.06 to 0.20; P < .001) and reductions in maladaptive attitudes (1 month: d = 0.20; 95% CI, 0.12 to 0.23; P < .001; 3 months: d = 0.10; 95% CI, 0.05 to 0.16; P < .001; 6 months: d = 0.14; 95% CI, 0.09 to 0.19; P < .001), with 788 participants (87.0%) of the sample responding across time points. From baseline to 6 months, there was a greater improvement in help-seeking in the PARS group vs usual care (d = 0.16; 95% CI, 0.01 to 0.32; P = .04).

Conclusions and relevance: This stepped-wedge cluster-randomized clinical trial found that PARS was superior to usual care in improving suicide knowledge, maladaptive attitudes, and help-seeking in adults undergoing community addiction treatment. As a 1-session IOP module developed in partnership with community addiction agencies, PARS has the potential for wide impact in the national suicide prevention strategy.

Trial registration: ClinicalTrials.gov Identifier: NCT03166709.

Conflict of interest statement

Conflict of Interest Disclosures: Drs Ries and Comtois, Ms Kerbrat, and Mr Livengood reported having a Record of Innovation pending at the University of Washington for an online training platform for the Preventing Addiction Related Suicide (PARS) module, PARS-Web, developed at the Center for Suicide Prevention and Recovery and commercialized by the University of Washington. All proceeds from the PARS-Web platform are paid to the University of Washington and not to the coauthors. No other disclosures were reported.

Figures

Figure 1.. Cluster and Participant Recruitment Flowcharts
Figure 1.. Cluster and Participant Recruitment Flowcharts
A, This stepped-wedge effectiveness trial randomly assigned 15 community IOPs into 5 groups of 3 sites each. The 5 groups were randomly ordered to implement the Preventing Addiction Related Suicide (PARS) program (shaded cells) at one of the subsequent 5 study steps (ie, steps 2-6), with each step lasting 4 months. At step 1, all were in the usual care (UC) condition (unshaded cells). Once beginning PARS, sites continued to administer PARS through the end of step 6. B, All 1071 participants in selected intensive outpatient programs were recruited; 906 participants were randomized and 165 were excluded, including 157 who did not consent, 6 who did not meet study criteria, and 2 who either did not provide data or withdrew consent. Specification of attended indicates the participant attended study session (UC or PARS) and were included in the as-treated secondary analysis.
Figure 2.. Predicted Outcomes at Baseline, After…
Figure 2.. Predicted Outcomes at Baseline, After Treatment, and 1-, 3-, and 6-Month Follow-up by Treatment From the Intent-to-Treat Analysis
Nonoverlapping confidence intervals correspond with a statistically significant difference at P < .05. PARS indicates Preventing Addiction Related Suicide; UC, usual care.

References

    1. Harris EC, Barraclough B. Suicide as an outcome for mental disorders: a meta-analysis. Br J Psychiatry. 1997;170(3):205-228. doi:10.1192/bjp.170.3.205
    1. Bertolote JM, Fleischmann A, De Leo D, Wasserman D. Psychiatric diagnoses and suicide: revisiting the evidence. Crisis. 2004;25(4):147-155. doi:10.1027/0227-5910.25.4.147
    1. Wilcox HC, Conner KR, Caine ED. Association of alcohol and drug use disorders and completed suicide: an empirical review of cohort studies. Drug Alcohol Depend. 2004;76(suppl):S11-S19. doi:10.1016/j.drugalcdep.2004.08.003
    1. Yuodelis-Flores C, Ries RK. Addiction and suicide: a review. Am J Addict. 2015;24(2):98-104. doi:10.1111/ajad.12185
    1. SAMHSA/CSAT . TIP 50: Addressing Suicidal Thoughts and Behaviors in Substance Abuse Treatment—Literature Review with Update. Substance Abuse and Mental Health Services Administration; 2012.
    1. Britton PC, Conner KR. Suicide attempts within 12 months of treatment for substance use disorders. Suicide Life Threat Behav. 2010;40(1):14-21. doi:10.1521/suli.2010.40.1.14
    1. Kelly LM, Rash CJ, Alessi SM, Zajac K. Correlates and predictors of suicidal ideation and substance use among adults seeking substance use treatment with varying levels of suicidality. J Subst Abuse Treat. 2020;119:108145. doi:10.1016/j.jsat.2020.108145
    1. Vingoe L, Welch S, Farrell M, et al. . Heroin overdose among a treatment sample of injecting drug misusers: Accident or suicidal behaviour? J Subst Use. 1999;4(2):88-91. doi:10.3109/14659899909053019
    1. Wines JD Jr, Saitz R, Horton NJ, Lloyd-Travaglini C, Samet JH. Suicidal behavior, drug use and depressive symptoms after detoxification: a 2-year prospective study. Drug Alcohol Depend. 2004;76(suppl):S21-S29. doi:10.1016/j.drugalcdep.2004.08.004
    1. Bakken K, Vaglum P. Predictors of suicide attempters in substance-dependent patients: a six-year prospective follow-up. Clin Pract Epidemiol Ment Health. 2007;3(1):20-20. doi:10.1186/1745-0179-3-20
    1. Darke S, Ross J. The relationship between suicide and heroin overdose among methadone maintenance patients in Sydney, Australia. Addiction. 2001;96(10):1443-1453. doi:10.1046/j.1360-0443.2001.961014438.x
    1. Darke S, Williamson A, Ross J, Teesson M. Attempted suicide among heroin users: 12-month outcomes from the Australian Treatment Outcome Study (ATOS). Drug Alcohol Depend. 2005;78(2):177-186. doi:10.1016/j.drugalcdep.2004.10.009
    1. Hesselbrock M, Hesselbrock V, Syzmanski K, Weidenman M. Suicide attempts and alcoholism. J Stud Alcohol. 1988;49(5):436-442. doi:10.15288/jsa.1988.49.436
    1. Rossow I, Lauritzen G. Balancing on the edge of death: suicide attempts and life-threatening overdoses among drug addicts. Addiction. 1999;94(2):209-219. doi:10.1046/j.1360-0443.1999.9422095.x
    1. Roy A, Janal MN. Risk factors for suicide attempts among alcohol dependent patients. Arch Suicide Res. 2007;11(2):211-217. doi:10.1080/13811110701250150
    1. Roy A. Characteristics of cocaine-dependent patients who attempt suicide. Am J Psychiatry. 2001;158(8):1215-1219. doi:10.1176/appi.ajp.158.8.1215
    1. Roy A. Risk factors for attempting suicide in heroin addicts. Suicide Life Threat Behav. 2010;40(4):416-420. doi:10.1521/suli.2010.40.4.416
    1. Trémeau F, Darreye A, Staner L, et al. . Suicidality in opioid-dependent subjects. Am J Addict. 2008;17(3):187-194. doi:10.1080/10550490802020160
    1. Wojnar M, Ilgen MA, Czyz E, et al. . Impulsive and non-impulsive suicide attempts in patients treated for alcohol dependence. J Affect Disord. 2009;115(1-2):131-139. doi:10.1016/j.jad.2008.09.001
    1. Darke S, Ross J, Williamson A, Mills KL, Havard A, Teesson M. Patterns and correlates of attempted suicide by heroin users over a 3-year period: findings from the Australian treatment outcome study. Drug Alcohol Depend. 2007;87(2-3):146-152. doi:10.1016/j.drugalcdep.2006.08.010
    1. Ilgen MA, Harris AHS, Moos RH, Tiet QQ. Predictors of a suicide attempt one year after entry into substance use disorder treatment. Alcohol Clin Exp Res. 2007;31(4):635-642. doi:10.1111/j.1530-0277.2007.00348.x
    1. Voss WD, Kaufman E, O’Connor SS, Comtois KA, Conner KR, Ries RK. Preventing addiction related suicide: a pilot study. J Subst Abuse Treat. 2013;44(5):565-569. doi:10.1016/j.jsat.2012.10.006
    1. Center for Substance Abuse Treatment . TIP 41: Substance Abuse Treatment: Group Therapy. Substance Abuse and Mental Health Services Administration; 2005.
    1. Wyman PA, Brown CH, Inman J, et al. . Randomized trial of a gatekeeper program for suicide prevention: 1-year impact on secondary school staff. J Consult Clin Psychol. 2008;76(1):104-115. doi:10.1037/0022-006X.76.1.104
    1. Aseltine RH Jr, DeMartino R. An outcome evaluation of the SOS Suicide Prevention Program. Am J Public Health. 2004;94(3):446-451. doi:10.2105/AJPH.94.3.446
    1. WHO ASSIST Working Group . The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST): development, reliability and feasibility. Addiction. 2002;97(9):1183-1194. doi:10.1046/j.1360-0443.2002.00185.x
    1. Aloba O, Ojeleye O, Aloba T. The psychometric characteristics of the 4-item Suicidal Behaviors Questionnaire-Revised (SBQ-R) as a screening tool in a non-clinical sample of Nigerian university students. Asian J Psychiatr. 2017;26:46-51. doi:10.1016/j.ajp.2017.01.017
    1. Osman A, Bagge CL, Gutierrez PM, Konick LC, Kopper BA, Barrios FX. The Suicidal Behaviors Questionnaire-Revised (SBQ-R): validation with clinical and nonclinical samples. Assessment. 2001;8(4):443-454. doi:10.1177/107319110100800409
    1. Gutierrez PM, Joiner T, Hanson J, Stanley IH, Silva C, Rogers ML. Psychometric properties of four commonly used suicide risk assessment measures: applicability to military treatment settings. Mil Behav Health. 2019;7(2):1-8. doi:10.1080/21635781.2018.1562390
    1. Moyers TB, Rowell LN, Manuel JK, Ernst D, Houck JM. The Motivational Interviewing Treatment Integrity Code (MITI 4): rationale, preliminary reliability and validity. J Subst Abuse Treat. 2016;65:36-42. doi:10.1016/j.jsat.2016.01.001
    1. Moyers TB, Martin T, Manuel JK, Hendrickson SML, Miller WR. Assessing competence in the use of motivational interviewing. J Subst Abuse Treat. 2005;28(1):19-26. doi:10.1016/j.jsat.2004.11.001
    1. Center for Substance Abuse Treatment . TIP 47: Substance Abuse: Clinical Issues in Intensive Outpatient Treatment. Substance Abuse and Mental Health Services Administration; 2006.
    1. Connery HS, Taghian N, Kim J, et al. . Suicidal motivations reported by opioid overdose survivors: a cross-sectional study of adults with opioid use disorder. Drug Alcohol Depend. 2019;205:107612. doi:10.1016/j.drugalcdep.2019.107612
    1. Bohnert ASB, Ilgen MA. Understanding links among opioid use, overdose, and suicide. N Engl J Med. 2019;380(1):71-79. doi:10.1056/NEJMra1802148
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381. doi:10.1016/j.jbi.2008.08.010
    1. Harris PA, Taylor R, Minor BL, et al. ; REDCap Consortium . The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019;95:103208. doi:10.1016/j.jbi.2019.103208
    1. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B. 1995;57(1):289-300. doi:10.1111/j.2517-6161.1995.tb02031.x
    1. Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Lawrence Erlbaum Associates; 1988.
    1. Calear AL, Batterham PJ, Christensen H. Predictors of help-seeking for suicidal ideation in the community: risks and opportunities for public suicide prevention campaigns. Psychiatry Res. 2014;219(3):525-530. doi:10.1016/j.psychres.2014.06.027
    1. Monteith LL, Smith NB, Holliday R, Dorsey Holliman BA, LoFaro CT, Mohatt NV. “We’re afraid to say suicide”: stigma as a barrier to implementing a community-based suicide prevention program for rural veterans. J Nerv Ment Dis. 2020;208(5):371-376. doi:10.1097/NMD.0000000000001139

Source: PubMed

3
구독하다