BMJ Mental Health (Nov 2024)

Predictors of study dropout in cognitive-behavioural therapy with a trauma focus for post-traumatic stress disorder in adults: An individual participant data meta-analysis

  • Eirini Karyotaki,
  • Pim Cuijpers,
  • Sonya B Norman,
  • Davide Papola,
  • Marit Sijbrandij,
  • Soraya Seedat,
  • Miranda Olff,
  • Sudie E Back,
  • Richard Gray,
  • Rolf J Kleber,
  • Francisco Lotufo Neto,
  • Jonathan Bisson,
  • Damion Grasso,
  • Grant J Devilly,
  • Ulrich Schnyder,
  • Marylene Cloitre,
  • Nigel Hunt,
  • Anke B Witteveen,
  • Simonne Wright,
  • Joy M Schmitz,
  • Dana Bichescu-Burian,
  • Liuva Capezzani,
  • Thomas Elbert,
  • Marcelo Mello,
  • Julian D Ford,
  • Pedro Gamito,
  • Moira Haller,
  • Julia König,
  • Claire Kullack,
  • Jonathan Laugharne,
  • Rachel Liebman,
  • Christopher William Lee,
  • Jeannette Lely,
  • John C. Markowitz,
  • Candice Monson,
  • Mirjam J Nijdam,
  • Tahereh Mina Orang,
  • Luca Ostacoli,
  • Nenad Paunovic,
  • Eva Petkova,
  • Patricia Resick,
  • Rita Rosner,
  • Maggie Schauer,
  • Brian N. Smith,
  • Anka A Vujanovic,
  • Yinyin Zang,
  • Érica Panzani Duran

DOI
https://doi.org/10.1136/bmjment-2024-301159
Journal volume & issue
Vol. 27, no. 1

Abstract

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Background Available empirical evidence on participant-level factors associated with dropout from psychotherapies for post-traumatic stress disorder (PTSD) is both limited and inconclusive. More comprehensive understanding of the various factors that contribute to study dropout from cognitive-behavioural therapy with a trauma focus (CBT-TF) is crucial for enhancing treatment outcomes.Objective Using an individual participant data meta-analysis (IPD-MA) design, we examined participant-level predictors of study dropout from CBT-TF interventions for PTSD.Methods A comprehensive systematic literature search was undertaken to identify randomised controlled trials comparing CBT-TF with waitlist control, treatment-as-usual or another therapy. Academic databases were screened from conception until 11 January 2021. Eligible interventions were required to be individual and in-person delivered. Participants were considered dropouts if they did not complete the post-treatment assessment.Findings The systematic literature search identified 81 eligible studies (n=3330). Data were pooled from 25 available CBT-TF studies comprising 823 participants. Overall, 221 (27%) of the 823 dropped out. Of 581 civilians, 133 (23%) dropped out, as did 75 (42%) of 178 military personnel/veterans. Bivariate and multivariate analyses indicated that military personnel/veterans (RR 2.37) had a significantly greater risk of dropout than civilians. Furthermore, the chance of dropping out significantly decreased with advancing age (continuous; RR 0.98).Conclusions These findings underscore the risk of premature termination from CBT-TF among younger adults and military veterans/personnel.Clinical implication Understanding predictors can inform the development of retention strategies tailored to at-risk subgroups, enhance engagement, improve adherence and yield better treatment outcomes.