A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs

Revisiting the policy ecology framework for implementation of evidence-based practices in mental health settings

BACKGROUND

Over the past three decades, policy actors and actions have been highly influential in supporting the implementation of evidence-based practices (EBPs) in mental health settings. An early examination of these actions resulted in the Policy Ecology Framework (PEF), which was originally developed as a tactical primer for state and local mental health regulators in the field of child mental health. However, the policy landscape for implementation has evolved significantly since the original PEF was published. An interrogation of the strategies originally proposed in the PEF is necessary to provide an updated menu of strategies to improve our understanding of the mechanisms of policy action and promote system improvement.

OBJECTIVES

This paper builds upon the original PEF to address changes in the policy landscape for the implementation of mental health EBPs between 2009 and 2022. We review the current state of policy strategies that support the implementation of EBPs in mental health care and outline key areas for policy-oriented implementation research. Our review identifies policy strategies at federal, state, agency, and organizational levels, and highlights developments in the social context in which EBPs are implemented. Furthermore, our review is organized around some key changes that occurred across each PEF domain that span organizational, agency, political, and social contexts along with subdomains within each area.

DISCUSSION

We present an updated menu of policy strategies to support the implementation of EBPs in mental health settings. This updated menu of strategies considers the broad range of conceptual developments and changes in the policy landscape. These developments have occurred across the organizational, agency, political, and social contexts and are important for policymakers to consider in the context of supporting the implementation of EBPs. The updated PEF expands and enhances the specification of policy levers currently available, and identifies policy targets that are underdeveloped (e.g., de-implementation and sustainment) but are becoming visible opportunities for policy to support system improvement. The updated PEF clarifies current policy efforts within the field of implementation science in health to conceptualize and better operationalize the role of policy in the implementation of EBPs.

The Complexity of Psychotropic Medication Prescription and Treating Trauma Among Youth in Foster Care: Perspectives from the Lived Experience

Youth in the US foster care system are disproportionately prescribed antipsychotic and psychotropic medication compared to youth not involved with foster care. Research on the relationship between experiences of trauma, mental health symptoms, evidence-based treatment, and safe psychotropic prescribing practices for youth in foster care is limited. We explored stakeholders' perspectives of the relationship between psychotropic medications and trauma informed care (TIC) for youth in foster care. We conducted semi-structured individual and group interviews with foster caregivers, caseworkers, prescribing clinicians, and alumni of the foster care system. Data were recorded and transcribed verbatim, and analyzed using a directed content analysis approach. Five themes emerged across and within stakeholder groups: (1) acknowledging trauma; (2) role of psychotropic medication; (3) psychosocial resources; (4) additional supports; and, (5) training and education. Stakeholders identified TIC as an important component of mental health services for youth in foster care. There was not consensus around the role of psychotropic medication in treating trauma; however, most stakeholders felt that it was overused. Respondents suggested including additional supportive team members to help guide youth through the mental health treatment system, and emphasized the importance of support from individuals with common lived experiences. Results demonstrate the need for a system that emphasizes trauma-sensitive clinical interactions and psychosocial supports. Improving training and education for stakeholders, and providing additional sources of support for youth in foster care, could help better identify and treat the effects of trauma and the safe pharmacotherapy for youth in foster care.

A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs

Objective

This article employs a best‐worst scaling (BWS) experiment to identify the claims‐based outcomes that matter most to patients and other relevant parties when evaluating pediatric antipsychotic monitoring programs in the United States.

Data Sources

Patients and relevant parties, with pediatric antipsychotic oversight and treatment experience, completed a BWS experiment, including policymakers (n = 31), foster care alumni (n = 28), caseworkers (n = 23), prescribing clinicians (n = 32), and caregivers (n = 18).

Study Design

Respondents received surveys with a scenario on antipsychotic monitoring programs and ranked 11 candidate claims‐based outcomes as most and least important for program evaluation.

Data Analysis

Stratified by respondent group, best‐worst scores were calculated to identify the relative importance of the claims‐based outcomes. A conditional logit examined whether candidate outcomes for safety, quality, and unintended consequences were preferred over reduction in antipsychotic treatment, the outcome used most often to evaluate antipsychotic monitoring programs.

Principal Findings

Safety indicators (eg, antipsychotic co‐pharmacy, cross‐class polypharmacy, higher than recommended doses) ranked among the top three candidate outcomes across respondent groups and were an important complement to antipsychotic treatment reduction. Foster care alumni prioritized “antipsychotic treatment reduction” and “increased psychosocial treatment.” Caseworkers, prescribers, and caregivers prioritized “increased follow‐up after treatment initiation.” Potential unintended consequences of an antipsychotic monitoring program ranked lowest, including increased use of other psychotropic medication classes (as a substitute), increased psychiatric hospital stays, and increased emergency room utilization. Results of the conditional logit model found only caregivers significantly preferred other indicators over antipsychotic treatment reduction, preferring improvements in follow‐up care (5.78) and psychosocial treatment (4.53) and reduction in prescriptions of higher than recommended doses (3.64).

Conclusions

The BWS experiment supported rank ordering of candidate claims‐based outcomes demonstrating the opportunity for future studies to align outcomes used in antipsychotic monitoring program evaluations with community preferences, specifically by diversifying metrics to include safety and quality indicators.