Comparing Agency Leader and Therapist Perspectives on Evidence-Based Practices: Associations with Individual and Organizational Factors in a Mental Health System-Driven Implementation Effort

Agency leaders and therapists are essential stakeholders in implementation of evidence-based practices (EBPs) within publicly-funded mental health services. Little is known about how these stakeholders differ in their perceptions of specific EBPs and which individual and organizational factors differentially influence these perceptions. Within the context of a system-driven implementation of multiple EBPs, survey data from 160 leaders and 720 therapists were examined to assess differences in perceptions of six EBPs. Findings indicated that leaders and therapists have unique perspectives and preferences regarding EBPs that are shaped by distinct sociodemographic and professional characteristics and aspects of organizational functioning.     

Forced Nutrition of a Pediatric Patient with Autism Spectrum Disorder

Autism spectrum disorder (ASD) affects an estimated 1 in 54 children aged 8 years in the United States (Maenner MJ, Shaw KA, Baio et al., 2020). For many of these children, there are concomitant eating and/or behavioral challenges that can make managing their nutritional health challenging. This commentary responds to a particularly challenging case in which a pediatric patient with ASD presented to the local hospital’s emergency department with severe weight loss and malnutrition.

     

Demographic and Clinical Factors Associated With Nonsurgical Osteoarthritis Treatment Among Patients in Outpatient Clinics

Objective

To identify patient demographic and clinical characteristics associated with osteoarthritis (OA) treatment use.

Methods

This was a secondary data analysis of 3 clinical trials among patients with hip or knee OA conducted in Duke Primary Care practices, the Durham Veterans Affairs (VA) Health Care System, and the University of North Carolina–Chapel Hill (UNC). At baseline, participants reported sociodemographic characteristics, OA‐related pain and function, and OA treatment use, including oral analgesics, topical creams, joint injections, and physical therapy. Separate, multivariable logistic models (adjusted for clustering of clinics and providers for the Duke and VA cohorts) were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for the associations between participant characteristics and each type of OA treatment.

Results

Oral analgesic use was reported by 70–82% of participants across the 3 cohorts. Physical therapy, knee injections, and topical creams were used by 39–52%, 55–60%, and 25–39% of Duke, VA, and UNC participants, respectively. In multivariable models, worse pain, stiffness, and function, per 5‐unit increase, were associated with greater odds of using any oral analgesic for the cohorts from Duke (OR 1.18 [95% CI 1.08–1.28]) and UNC (OR 1.14 [95% CI 1.05–1.24]), but not for the VA cohort (OR 1.04 [95% CI 0.95–1.14]). For all 3 cohorts, nonwhites had higher odds of using topical creams compared to whites.

Conclusion

Results suggest potential underutilization of therapies other than oral analgesics. Patient characteristics may affect OA treatment use, and understanding the relationship between these factors and OA treatment preferences may improve adherence to OA treatment guidelines.     

Understanding Process in Group-Based Intervention Delivery: Social Network Analysis and Intra-entity Variability Methods as Windows into the “Black Box”

Although the majority of evidence-based programs are designed for group delivery, group process and its role in participant outcomes have received little empirical attention. Data were collected from 20 groups of participants (94 early adolescents, 120 parents) enrolled in an efficacy trial of a mindfulness-based adaptation of the Strengthening Families Program (MSFP). Following each weekly session, participants reported on their relations to group members. Social network analysis and methods sensitive to intraindividual variability were integrated to examine weekly covariation between group process and participant progress, and to predict post-intervention outcomes from levels and changes in group process. Results demonstrate hypothesized links between network indices of group process and intervention outcomes and highlight the value of this unique analytic approach to studying intervention group process.