The investigators overarching goal is to increase the percentage of patients engaging in diabetes prevention activities to reduce the incidence of diabetes. The investigators objective is to design and pilot test a prediabetes clinical decision support (CDS) tool in the electronic health record (EHR) that will assess the patient's activation level based on responses to a questionnaire. Based on the patient's assessed level of activation, the tool will generate several communication recommendations to guide clinicians in conversations related to prediabetes/lifestyle change and tailor recommendations about available resources (e.g., care manager, health coach, DPP) to support patient activation.
Patient activation, which incorporates elements of self-efficacy and readiness to change, is particularly important in managing conditions like pre-diabetes, where the mainstay of treatment is behavioral lifestyle change and self-management. Unfortunately, Primary Care Physicians (PCPs) often do not have adequate training on how to promote patient activation. Traditionally, patient decision aids are used in shared decision-making to help elicit patient preferences and guide treatment options. However, the guides primarily focus on reviewing treatment options rather than increasing patient activation, which is key to successful and efficient behavioral counseling. The Patient Activation Measure (PAM) is a widely used and validated patient-reported outcome measure for assessing patient activation. Studies have demonstrated that using PAM to tailor care to a patient's activation level decreased health service utilization while improving clinical outcomes like blood pressure and self-management behaviors. The investigators overarching goal is to increase the percentage of patients engaging in diabetes prevention activities to reduce the incidence of diabetes. The investigators objective is to design and pilot test a pre-diabetes clinical decision support (CDS) tool in the electronic health record (EHR) that will assess the patient's activation level based on responses to a questionnaire. Based on the patient's assessed level of activation, the tool will generate several communication recommendations to guide clinicians in conversations related to pre-diabetes/lifestyle change and tailor recommendations about available resources (e.g., care manager, health coach, DPP) to support patient activation.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
100
Diabetes Prevention Patient Activation Clinical Decision Support Tool will be used by the doctor during the visit to discuss lifestyle management
Johns Hopkins Internal Medicine at Green Spring Station
Lutherville, Maryland, United States
patient activation as assessed by the Patient Activation Measure Survey (PAM)
measured by Patient Activation Measure (PAM) survey, a 13-item scale with 4 Likert response,s and scores ranging from 0 to 100 (higher score means higher activation level)
Time frame: baseline, 6 months
number of participants referred to Diabetes Prevention Program
measured using electronic health record data
Time frame: baseline, 6 months
number of participants prescribed metformin
measured using electronic health record data
Time frame: baseline, 6 months
percent of participants who make diet changes
measured using survey developed by study team will assess what diet changes participants have made
Time frame: baseline, 6 months
change in amount and frequency of physical activity
measured using survey developed by study team will assess the change in amount and frequency of physical activity that participants have made
Time frame: baseline, 6 months
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