Franco Mascayano1, Els van der Ven1, Gonzalo Martinez-Ales1, Alexandra Restrepo Henao1, Juliana Zambrano1, Nev Jones1, Leopoldo J Cabassa1, Thomas E Smith1, Lawrence H Yang1, Ezra Susser1, Lisa B Dixon1. 1. Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Mascayano, van der Ven, Martinez-Ales, Restrepo Henao, Zambrano, Yang, Susser); Division of Behavioral Health Services and Policies, New York State Psychiatric Institute, New York City (Mascayano, Smith, Susser, Dixon); School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands (van der Ven); Epidemiology Group, National School of Public Health, Universidad of Antioquia, Medellín, Colombia (Restrepo Henao); Department of Mental Health Law and Policy, Louis de la Parte Florida Mental Health Institute, University of South Florida, Tampa (Jones); George Warren Brown School of Social Work, Washington University in St. Louis, St. Louis (Cabassa); Department of Social and Behavioral Sciences, College of Global Public Health, New York University, New York City (Yang).
Abstract
OBJECTIVE: Therapeutic benefits associated with early services for psychosis are influenced by the degree to which participants engage in treatment. The main objective of this review was to analyze rates of disengagement in early psychosis services and identify predictors of disengagement in these settings. METHODS: A systematic search for studies published in the 1966-2019 period was conducted in PubMed, Google Scholar, EBSCO, Ovid, and Embase. The Observational Cohort and Cross-Sectional Studies scale was used to assess the methodological quality of reports identified in this search. A revised version of the behavioral model of health service use was employed to evaluate and understand predictors of disengagement (categorized as predisposing, enabling, and need factors) identified in the studies with the highest quality. RESULTS: Twenty studies met the inclusion criteria. Disengagement rates (12% to 53%) and definitions of disengagement varied widely across these studies. Most did not find a compelling association between predisposing factors (e.g., age) and disengagement. Enabling factors, such as lack of family support and living alone, were consistently found to be related to increased disengagement across studies. Finally, need factors, such as lower medication adherence and higher drug misuse, were associated with higher risk for disengagement. CONCLUSIONS: Enabling and need factors seemed to be the most predictive of disengagement from early psychosis services. Substantial between-study variation in identified predictors of disengagement may be addressed by developing and applying a consensus definition of disengagement in future research.
OBJECTIVE: Therapeutic benefits associated with early services for psychosis are influenced by the degree to which participants engage in treatment. The main objective of this review was to analyze rates of disengagement in early psychosis services and identify predictors of disengagement in these settings. METHODS: A systematic search for studies published in the 1966-2019 period was conducted in PubMed, Google Scholar, EBSCO, Ovid, and Embase. The Observational Cohort and Cross-Sectional Studies scale was used to assess the methodological quality of reports identified in this search. A revised version of the behavioral model of health service use was employed to evaluate and understand predictors of disengagement (categorized as predisposing, enabling, and need factors) identified in the studies with the highest quality. RESULTS: Twenty studies met the inclusion criteria. Disengagement rates (12% to 53%) and definitions of disengagement varied widely across these studies. Most did not find a compelling association between predisposing factors (e.g., age) and disengagement. Enabling factors, such as lack of family support and living alone, were consistently found to be related to increased disengagement across studies. Finally, need factors, such as lower medication adherence and higher drug misuse, were associated with higher risk for disengagement. CONCLUSIONS: Enabling and need factors seemed to be the most predictive of disengagement from early psychosis services. Substantial between-study variation in identified predictors of disengagement may be addressed by developing and applying a consensus definition of disengagement in future research.
Entities:
Keywords:
Disengagement; Early services for psychosis; Patient compliance; Psychoses; Scoping review; Treatment
Authors: Elizabeth C Thomas; John Suarez; Alicia Lucksted; Laura Siminoff; Irene Hurford; Lisa Dixon; Maria O'Connell; Mark Salzer Journal: Early Interv Psychiatry Date: 2021-02-17 Impact factor: 2.721