Commentary on the Revision of SAMHSA's National Outcome Measures (NOMs) for Discretionary Programs.

Data collection is an integral part of government agencies like the Substance Abuse and Mental Health Administration (SAMHSA), for reporting program outcomes and accountability. SAMHSA-funded community behavioral health programs have been evaluated by the National Outcome Measures (NOMs) since 2007. NOMs collects data on important aspects of client health including but not limited to mental health symptoms, functioning, and social connectedness through interviews with clients. Since its inception, NOMs has gone through a number of revisions. The most recent revision in 2021 has significant implications for program evaluation and research. This commentary provides an overview of the history of the NOMs followed by a review and critique of the recent changes with a particular attention to revisions in how responses are recorded. Implications of the NOMs are discussed with respect to its utility in evaluation, practice, and research.

Opportunities to improve behavioral health crisis response: Results of a large urban county's community status assessment.

A comprehensive community status assessment of an Ohio urban county's crisis response (CR) system explored the experiences of its behavioral health services' clients and providers to surface themes characterizing the system's responsiveness and identifying opportunities for improvements. Forty-eight focus groups and two online surveys were conducted. Data were analyzed using qualitative content analysis and descriptive statistics. The greatest areas of needed improvement ascertained by this effort are in increased CR system resources, more efficient use of resources, and capacity enhancements in nine areas: the mobile crisis team, CR protocols, psychiatric inpatient and crisis stabilization beds, stabilization admission for eligible persons, stabilization services for in-crisis but admission-ineligible persons, continuity of care, research into child versus adult CR systems, Provider Emergency Support Program, and first responder crisis intervention training. The assessment provides a foundation for the county to identify further opportunities for system scale-up.

Causal factors implicated in research misconduct: evidence from ORI case files.

There has been relatively little empirical research into the causes of research misconduct. To begin to address this void, the authors collected data from closed case files of the Office of Research Integrity (ORI). These data were in the form of statements extracted from ORI file documents including transcripts, investigative reports, witness statements, and correspondence. Researchers assigned these statements to 44 different concepts. These concepts were then analyzed using multidimensional scaling and cluster analysis. The authors chose a solution consisting of seven clusters: (1) personal and professional stressors, (2) organizational climate, (3) job insecurities, (4) rationalizations A, (5) personal inhibitions, (6) rationalizations B and, (7) personality factors. The authors discuss the implications of their findings for policy and for future research.