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BMC Psychiatry ; 18(1): 302, 2018 09 19.
Article in English | MEDLINE | ID: mdl-30231865

ABSTRACT

BACKGROUND: Dialectical Behaviour Therapy (DBT) is an evidence-based intervention that has been included in the National Institute of Health and Care Excellence guidelines as a recommended treatment for Borderline Personality Disorder in the UK. However, implementing and sustaining evidence-based treatments in routine practice can be difficult to achieve. This study compared the survival of early and late adopters of DBT as well as teams trained via different training modes (on-site versus off-site), and explored factors that aided or hindered implementation of DBT into routine healthcare settings. METHODS: A mixed-method approach was used. Kaplan-Meier survival analyses were conducted to quantify and compare survivability as a measure of sustainability between early and late implementers and those trained on- and off-site. An online questionnaire based on the Consolidated Framework for Implementation Research was used to explore barriers and facilitators in implementation. A quantitative content analysis of survey responses was carried out. RESULTS: Early implementers were significantly less likely to survive than late implementers, although, the effect size was small. DBT teams trained off-site were significantly more likely to survive. The effect size for this difference was large.  An unequal amount of censored data between groups in both analyses means that findings should be considered tentative. Practitioner turnover and financing were the most frequently cited barriers to implementation. Individual characteristics of practitioners and quality of the evidence base were the most commonly reported facilitators to implementation. CONCLUSIONS: A number of common barriers and facilitators to successful implementation of DBT were found among DBT programmes. Location of DBT training may mediate programme survival.


Subject(s)
Borderline Personality Disorder/therapy , Dialectical Behavior Therapy/statistics & numerical data , Health Care Surveys/statistics & numerical data , Health Plan Implementation/statistics & numerical data , Adult , Female , Humans , Kaplan-Meier Estimate , Male , Surveys and Questionnaires , Time Factors , United Kingdom
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