Patient Activation Implications on Interactive Voice Response Calls for Veterans with Uncontrolled Diabetes
Katiyar, Urvashi   (University of Michigan-Ann Arbor)
Mentor: Rosland, Ann-Marie (University of Michigan)
Patient Activation Measure (PAM) assesses an individual's knowledge, skill, and confidence for managing his/her health and healthcare. Interactive Voice Response (IVR) calls implementing motivational interviewing techniques may help improve patient self-management and increase activation of veterans at high risk for diabetes complications due to continuously high HbA1C or blood pressure readings. The aim of this analysis was to determine whether there is an association with patient activation scores and IVR calls, and if so, to detail what the gamut of such an association is. We used data from survey responses and IVR responses from veterans enrolled in the CO-IMPACT program over the past six months. On average, the 90 veterans enrolled in the study had a PAM score of 61, ranging from 40.7 to 84.8. Data from 36 veterans taking IVR calls biweekly was analyzed. 200 ten to fifteen-minute biweekly calls have been completed since January. The calls potentially identify 20 different issues commonly faced by diabetic patients, with the most common being medication noncompliance, high blood sugars above 200 and high blood sugars below 300. By looking at distributions descriptively and at correlations with a chi squared test it was found that patients with increased activation are more likely to create and work on action plans, report experiencing fewer issues per week, are more likely to adhere to their medication regime, and are more likely to complete all of their IVR calls without missing call weeks. Implications of these results may be that automated call programs might be more effective on patients with high patient activation scores. Also, if automated calls that use motivational interviewing techniques to help activate patients are effective in raising veterans’ PAM scores, a positive increase in healthy behaviors may be noted over time.