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Qualitative data collection: conducted by a study team member trained in qualitative data collection.
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CUSP team focus groups
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Selected CUSP team members (~ 5 per site)
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Baseline, 15 months
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Survey measures: collected through surveys administered by the study team
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Quality improvement culture: measured using a modified version of the validated Survey on Patient safety used in inpatient CUSPs
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All psychiatric rehabilitation program staff (~ 30 per site)
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Baseline, 12 months
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Self-efficacy to deliver evidence-based CVD risk factor care coordination and management: measured using a modified version of Compeau and Higgins’ task-focused self-efficacy scale
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CUSP team (~ 10 per site)
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Baseline, 12 months
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Acceptability, appropriateness, and feasibility of the intervention implementation strategies: measured with a brief 4-item practice instrument (AIM, IAM, FIM)
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CUSP team (~ 10 per site)
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Baseline, 12 months
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Acceptability, appropriateness, and feasibility of the evidence-based practice bundle: measured with a brief 4-item practice instrument (AIM, IAM, FIM)
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CUSP team (~ 10 per site)
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Baseline, 12 months
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Demographic characteristics: age, sex, race, ethnicity, length of time at the program, role in the program, previous motivational interviewing training, comfort with technology
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All psychiatric rehabilitation program staff (~ 30 per site)
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Baseline
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Health home client measures: collected by CUSP team/ health home staff during regular health home program care
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CVD risk factors: weight, BMI, tobacco smoking status, blood pressure, diabetes, HgbA1c, lipids, diagnoses of hypertension, diabetes, dyslipidemia, CVD risk scores
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All behavioral health home participants at the psychiatric rehabilitation program (~ 200 per site)
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Baseline and 6 and 12 months
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Evidence-based CVD risk factor care: % of consumers eligible to receive care processes in the evidence bundle who receive that process (e.g., diabetic eye or foot exam)
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CVD risk factor control: % of consumers meeting clinical criteria for having controlled hypertension dyslipidemia, diabetes
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Demographic and clinical characteristics: age, gender, race, ethnicity, living arrangement, disability status, transportation issues, mental health diagnoses, medications used
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