Cardiovascular Diseases
Conditions
Keywords
Preventive measures, Quality Improvement
Brief summary
This study evaluates the ability of small primary care practices to 1) implement point-of-care and population management quality improvement strategies to improve cardiovascular quality of care (e.g., clinical decision support, patient education and counseling, or referral to smoking quit lines), and 2) implement the PopHealth performance measurement software to evaluate performance on the ABCS (aspirin when appropriate, blood pressure control, cholesterol management, and when applicable, smoking cessation) and allow regional benchmarking. This minimal risk study is a practice-randomized trial to determine a) whether point of care strategies improve ABCS performance measures compared to baseline, and b) whether adding locally tailored population management strategies to POC strategies improves performance on the ABCS measures more than POC strategies alone.
Detailed description
The investigators specific aims are to: 1. Evaluate the ability of small practices in the investigators region to 1) implement point-of-care (POC) and population management (PM) quality improvement strategies to improve the ABCS, and 2) implement the popHealth quality measurement software to evaluate performance on the ABCS and allow regional benchmarking. 2. Conduct a practice-randomized trial to determine a) whether POC strategies improve ABCS performance measures (i.e. aspirin prescribing, blood pressure control, cholesterol management, and smoking cessation counseling) compared to baseline, and b) whether adding locally-tailored PM strategies to POC strategies improves performance on the ABCS measures more than POC strategies alone. 3. Deploy an open source quality measurement platform (popHealth) to establish a regional QI benchmark based on participating practice ABCS measures and enable longitudinal tracking of electronic clinical quality measures (eCQMs) across the investigators region. The investigators will perform a mixed-methods evaluation to examine changes in practices' perceived capacity for quality improvement and whether access to comparative quality data within a region improves the capacity of practices to sustain their quality improvement program around the ABCS and provides a long-term framework for practices to implement new QI activities.
Interventions
OTHERPoint of Care
Practice facilitators will work with practices to implement strategies to improve ABCS care during the patient encounter. Some examples of these types of quality improvement initiatives are electronic reminders and clinical decision support to prescribe aspirin or a statin at the time of a visit, improving how your practice collects blood pressure measures to increase clinicians' willingness to act on readings, or electronic reminders for nursing staff that there is no lipid panel in record and have a standing order to act on this.
OTHERPopulation Management
Practice Facilitators will work with practices to both implement Point of Care strategies as well as population management strategies. These practices will use their EHR and/or receive training to use the popHealth software package, which works with data from the EHR, to generate lists of high-risk patients that need outreach for one of the ABCS domains (such as conducting outreach to patients who are not on aspirin who would benefit from this therapy). Practices in this arm will receive the opportunity to link to community resources such as pharmacists who could assist patients with medication management or tobacco quit lines through the HealtheRx program.
Sponsors
Agency for Healthcare Research and Quality (AHRQ)
Alliance of Chicago Community Health Services
American Medical Association
Illinois Department of Public Health
MetaStar, Inc.
Northern Illinois University
Northwestern Medical Group
Purdue University
Telligen, Inc.
University of Chicago
Northwestern University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 89 Years
Healthy volunteers
No
Inclusion criteria
* Providers practicing in Wisconsin, Illinois, and Indiana. * Practice is adult primary care-focused; \[Further defined: health care organization dedicated to the provision of primary care, and a significant proportion of their patients are adults. Includes, but not limited to, family medicine, general internal medicine, general practice, geriatricians, nurse practitioners and physician assistants.\] * Practice has 20 or fewer primary care providers; \[Community health centers with 20 or fewer lead clinicians may be included; multi-specialty practices that provide primary care and have ≤ 20 lead clinicians may be included.\] * Providers must provide informed consent.
Exclusion criteria
* Non-English speaking providers
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in clinical performance on blood pressure control from baseline to 12 months | 12 months | Measured using electronic health record data. The proportion of adult (age 18-85) patients with hypertension with blood pressure \<140/90 |
| Change in appropriate aspirin prescribing from baseline to 12 months | 12 months | Measured using electronic health record data. Patients age ≥ 18 with eligible encounters during measurement period (year prior and including measurement date) with IVD diagnosis on active problem list (on measurement date) or visit diagnosis (on or within 1 year prior to measurement date) who have aspirin prescribed. |
| Change in clinical performance on cholesterol management from baseline to 12 months | 12 months | Measured using electronic health record data. The proportion of adult patients who are eligible for statins with a stain prescription on active medication list. Eligible patients for this measure are (1) Patients age ≥ 21 with an ASCVD diagnosis on problem list and (2) Patients age 40-75 with eligible encounters during the study period and diabetes on active problem list or as a visit diagnosis. |
| Change in clinical performance on smoking cessation from baseline to 12 months | 12 months | Measured using electronic health record data. The proportion of patients ≥ 18 with eligible encounters during the study period who have an assessment of tobacco use recorded. Then, among patients who report using tobacco, the proportion who have received a tobacco cessation intervention. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Capacity for Quality Improvement | 12 months | Collected via Change Process Capability Questionnaire (CPCQ) |
Countries
United States
Outcome results
None listed