Data Source Level of Research Content Areas Analysis Question Physical Program RQ2, RQ3 Exam (primary and secondary Inferential statistics (ANCOVA Health and indicators) or propensity score analysis) to Assessment Consumer Questionnaire (demographics, compare individuals at (exam and daily functioning, substance use, intervention sites and matched questionnaire) housing, control sites on changes in education/employment/crime, physical health indicators over social connectedness, service time. utilization, diet/nutrition, physical Extend the individual-level activity and fitness, physical difference-in-difference health and healthcare, analysis of program outcome medications and side effects effects to include process of care indicators as predictors of outcomes. Site Visit Program RQ1, RQ2, Collaboration across MH/PC, Qualitative analyses and coding Interviews RQ3 program structure, screening and will identify themes in each site referral, registry/tracking, visit domain. Based on the performance monitoring, care themes identified, conceptual management, EBPs, maps will be generated to wellness/prevention/ early characterize the way sites in intervention, self-management general (as well as types of sites support, consumer involvement, or individual sites) describe electronic capabilities, cultural issues regarding the integration competency, implementation of care. Data will also be used to inform interpretation of quantitative analyses for RQ1. Web-Based Program RQ1, RQ3 Role and caseload, collaboration Quantitative data will be used Survey between MH/PC, structure, care for descriptive statistics to management, characterize sites, identify wellness/prevention/ early challenges/barriers to intervention, other activities, integrating services, strategies screening/referral, to overcome barriers, and to registry/tracking, performance categorize sites according to monitoring, EBPs, models and features of management support, consumer integrated care. involvement, cultural competency, implementation More detailed information about the use of each data source is described below. TRAC NOMs and Section H (Physical Health Indicators) –
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
How_PBHCI_Data_Affect_the_National_Evaluation.docx