Data Source Level of Observation Research Question Content Areas Analysis CMHS TRAC – NOMS including Section H Consumer RQ1, RQ2 Exam (primary and secondary indicators); Client interview (demographics, functioning, stability in housing, education and employment, crime, perception of care, social connectedness, services received) Descriptive statistics for individuals served by each program. Intervention sites will use this data for baseline measures of physical health indicators. CMHS TRAC – IPP Indicators Program N/A Program (policy development, workforce development, finances, organizational change, partnership/collaborations, accountability, types/targets of practice, awareness, training, knowledge/attitudes/beliefs, screening) Requested by SAMHSA and used for performance management and budget evaluation. Not currently included in the PBHCI national evaluation. Grantee Quarterly Reports Program RQ1, RQ3 Program accomplishments, staffing changes, consumer involvement, barriers, infrastructure activities, wellness programming, data collection, grant-funded programming, sustainability, eligible patients, contact w/ SAMHSA, alternate funding sources Use coded data to identify challenges/barriers to integrating services, strategies to overcome barriers, and to categorize sites according to models and features of integrated care. Individual Service Utilization (i.e., registry data) Program and Consumer RQ1, RQ3 Physical health services, mental health services, substance abuse services, wellness services, provider contacts Descriptive statistics for the number of individuals using categories of PBHCI services at each site and process of care indicators. Regression analyses to examine relationships between structure/model features and client-level process of care indicators in order to identify model features associated with rates of appropriate care.
Data Source Level of Research Question Content Areas Analysis Physical Health Assessment (exam and questionnaire) Program and Consumer RQ2, RQ3 Exam (primary and secondary indicators) Questionnaire (demographics, daily functioning, substance use, housing, education/employment/crime, social connectedness, service utilization, diet/nutrition, physical activity and fitness, physical health and healthcare, medications and side effects Inferential statistics (ANCOVA or propensity score analysis) to compare individuals at intervention sites and matched control sites on changes in physical health indicators over time. Extend the individual-level difference-in-difference analysis of program outcome effects to include process of care indicators as predictors of outcomes. Site Visit Interviews Program RQ1, RQ2, RQ3 Collaboration across MH/PC, program structure, screening and referral, registry/tracking, performance monitoring, care management, EBPs, wellness/prevention/ early intervention, self-management support, consumer involvement, electronic capabilities, cultural competency, implementation Qualitative analyses and coding will identify themes in each site visit domain. Based on the themes identified, conceptual maps will be generated to characterize the way sites in general (as well as types of sites or individual sites) describe issues regarding the integration of care. Data will also be used to inform interpretation of quantitative analyses for RQ1. Web-Based Survey Program RQ1, RQ3 Role and caseload, collaboration between MH/PC, structure, care management, wellness/prevention/ early intervention, other activities, screening/referral, registry/tracking, performance monitoring, EBPs, support, consumer involvement, cultural competency, implementation Quantitative data will be used for descriptive statistics to characterize sites, identify challenges/barriers to integrating services, strategies to overcome barriers, and to categorize sites according to models and features of integrated care. More detailed information about the use of each data source is described below. TRAC – NOMs and Section H (Physical Health Indicators) management