Expanding the domains of attitudes towards evidence-based practice: the evidence based practice attitude scale-50.

Mental health and social service provider attitudes toward evidence-based practice have been measured through the development and validation of the Evidence-Based Practice Attitude Scale (EBPAS; Aarons, Ment Health Serv Res 6(2):61-74, 2004). Scores on the EBPAS scales are related to provider demographic characteristics, organizational characteristics, and leadership. However, the EBPAS assesses only four domains of attitudes toward EBP. The current study expands and further identifies additional domains of attitudes towards evidence-based practice. A qualitative and quantitative mixed-methods approach was used to: (1) generate items from multiples sources (researcher, mental health program manager, clinician/therapist), (2) identify potential content domains, and (3) examine the preliminary domains and factor structure through exploratory factor analysis. Participants for item generation included the investigative team, a group of mental health program managers (n = 6), and a group of clinicians/therapists (n = 8). For quantitative analyses a sample of 422 mental health service providers from 65 outpatient programs in San Diego County completed a survey that included the new items. Eight new EBPAS factors comprised of 35 items were identified. Factor loadings were moderate to large and internal consistency reliabilities were fair to excellent. We found that the convergence of these factors with the four previously identified evidence-based practice attitude factors (15 items) was small to moderate suggesting that the newly identified factors represent distinct dimensions of mental health and social service provider attitudes toward adopting EBP. Combining the original 15 items with the 35 new items comprises the EBPAS 50-item version (EBPAS-50) that adds to our understanding of provider attitudes toward adopting EBPs. Directions for future research are discussed.

Association between mental and physical health problems in high-risk adolescents: a longitudinal study.

PURPOSE: This longitudinal study examined the relationship between mental and physical health problems in a sample of high-risk youth served in the public sector. METHODS: Participants included youth aged 9-18 years at baseline, randomly sampled from one of five public service sectors in San Diego County, California, and youths may have been active to more than one sector. Diagnoses for mood, anxiety, and disruptive disorders based on structured diagnostic interviews were determined at baseline and data regarding health-related problems were collected 2 years post-baseline. RESULTS: Mood and disruptive behavior disorders were related to cumulative health problem incidence, as well as aggregate measures of health problems and severe health problems. In addition mood disorder diagnosis was associated with higher rates of infectious diseases, respiratory problems, and weight problems. Disruptive disorder diagnosis was related to higher rates of risk behavior-related health problems. CONCLUSIONS: The present work extends the research on the relationship between mental and physical health problems to adolescents served in the public sector, who are at especially high risk for behavioral and emotional problems. Potential mechanisms by which mental health problems may impact health problems are discussed. We suggest the development of effective interagency cooperation between medical and mental health systems to improve the care of youth with comorbid mental and physical disorders.