title: Strategies to predict, measure, and improve psychosocial treatment adherence.
abstract: Nonadherence to psychosocial and behavioral treatment is a significant public health problem that presents a barrier to recovery and effective treatment. An estimated 20% to 70% of individuals who initiate psychosocial mental health services discontinue treatment prior to clinicians' recommendations. Empirically supported, evidence-based, stand-alone or adjunctive psychosocial interventions treat an increasingly wide range of mental health conditions. A core assumption of most, if not all, interventions is that clients will fully and actively engage in the treatment protocol. Adherence to psychosocial treatment has received much less scientific attention, however, than adherence to medical treatment. Drawing extensively from existing research, this comprehensive review conceptualizes several types of psychosocial and behavioral treatment adherence, examines predictors of adherence to psychosocial treatment, summarizes measures of adherence, and describes existing interventions to enhance psychosocial treatment adherence.
authors.affiliation: From Columbia University School of Social Work (Drs. Gearing and El-Bassel); Johns Hopkins University Bloomberg School of Public Health (Dr. Townsend); University of Georgia School of Social Work (Dr. Elkins); and Stanford University School of Medicine (Dr. Osterberg).
authors.forename: Robin E
authors.initials: RE
authors.lastname: Gearing
authors.forename: Lisa
authors.initials: L
authors.lastname: Townsend
authors.forename: Jennifer
authors.initials: J
authors.lastname: Elkins
authors.forename: Nabila
authors.initials: N
authors.lastname: El-Bassel
authors.forename: Lars
authors.initials: L
authors.lastname: Osterberg
mesh_terms: D019983:Guideline Adherence / Q000706:statistics & numerical data; D006801:Humans; D010349:Patient Compliance / Q000523:psychology* / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D011613:Psychotherapy / Q000458:organization & administration* / Q000706:statistics & numerical data