Challenges and Opportunities of Embedding Studies in Real-World Practices in Three PCORI-funded Pragmatic Hypertension Trials PCORnet BP Control Lab: Valy.

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Presentation transcript:

Challenges and Opportunities of Embedding Studies in Real-World Practices in Three PCORI-funded Pragmatic Hypertension Trials PCORnet BP Control Lab: Valy Fontil & Madelaine Faulkner, UC San Francisco Hyperlink 3: Karen Margolis & Anna Bergdall, HealthPartners Institute BP-Check: Bev Green & Kelly Ehrlich, Kaiser Permanente Washington Health Research Institute Panel discussion moderated by Steve Clauser, PCORI

Introduction & Agenda 1:30-1:35pm: Introduction by Steve Clauser 1:35-1:45pm: Introductions, by each study 1:45-2:30pm: Challenges, Adaptations, and Lessons Learned, by study (approx. 10 minutes each, plus time for 1-2 questions) 2:30-3:00pm: Open discussion

The PCORnet Blood Pressure Control Laboratory Valy Fontil, MD, MAS - Co-Principal Investigator Assistant Professor of Medicine UCSF Division of General Internal Medicine UCSF Center for Vulnerable Populations Zuckerberg San Francisco General Hospital Madelaine Faulkner, MPH – Program Director UCSF Dept of Epidemiology and Biostatistics Mark Pletcher, MD, MPH – Principal Investigator

BP Control Lab: overview Rationale: To create a BP Control Lab to enable research and implementation of scalable interventions Aims AIM 1: BP Track – creation of HTN registry using PCORNet common data model AIM 2: BP MAP – Cluster Randomized Control Trial to compare two versions of a hypertension management program developed by the American Medical Association (AMA). AIM 3: - BP Home—Direct to participant RCT to compare blue-tooth enabled vs standard BP cuff devices in home BP measurement intervention program In this discussion, we will focus on Aim 2: the BP MAP trial

The BP MAP trial: Improving BP Control by Measuring Accurately, Acting Rapidly, and Partnering with Patients Study aim: Compare the effectiveness of a full-support vs self-guided version of the MAP hypertension program developed by the AMA Study design: Pragmatic cluster randomized controlled trial Full support Self-guided Study subjects: 24 clinics 4 health systems in Louisiana, Oregon, and Washington Primary outcome: change in clinic-level % BP control

Study design BP Lab members Intervention clinics Comparison groups X clinics 24 BP MAP clinics Full support (N = 12) Blood pressure control Self-guided (N =12) X Non-participating clinics Non-randomized Usual-care arm (N = ) Primary outcome at 6 months

The BP MAP trial Intervention: Measure Accurately, Act Rapidly, and Partner with patients and communities (MAP) program

Hyperlink 3 Patient Centered Outcomes Research Institute IHS-1507-31146 Karen Margolis, MD, MPH – Principal Investigator Anna Bergdall, MPH – Project Manager Amy Kodet, MPP – Project Manger Define MTM

Objective To directly compare two models of team-based care for uncontrolled hypertension Best practice clinic-based care (similar to KPNC and KPSC) Home BP telemonitoring plus pharmacist care (previous Hyperlink 1 trial) Aim 1: Effects on SBP and patient-reported outcomes Aim 2: Evaluates implementation in a large health system Define MTM

Hyperlink 3 Design: Cluster-randomized trial Setting 21 primary health care clinics in Minneapolis/St. Paul metro area and nearby suburban and rural communities All clinics have a Medication Therapy Management (MTM) Pharmacist onsite with collaborative practice agreement Target population Adults (18-85) with hypertension diagnosis and BP ≥150/95 mmHg at two consecutive office encounters Excluded: pregnancy, end stage renal disease, hospice/nursing home residence Patients must be “plugged in” with primary care – seen PCP in last 12 months, at PCP’s clinic today Define MTM

Best Practice Clinic Care Interventions Best Practice Clinic Care Automated oscillometric clinic BP measurement Physician-MA/LPN dyad supported by hypertension registry, RN protocol, and automated follow-up reminders for elevated BP Face-to-face clinic visits, nurse BP checks Option for any other referrals as usual Telehealth Care Based on previous RCT with -10/-6 mm Hg ↓BP compared to usual care Best Practice Care components, PLUS: Free home BP telemonitor, phone visits by MTM MTM uses existing HP hypertension protocol Home BPs available to care team in Epic flowsheet Recruitment Electronic Health Record alert during primary care office encounters for eligible patients Alert advises hypertension follow-up visit within 2 weeks. Best Practice: referral for Nurse BP Check Telehealth care: referral for MTM visit Define MTM

Outcomes Primary Outcome: Change in Systolic BP at 12 months from EHR Secondary Outcomes: Patient Reported Outcomes from surveys at baseline, 6, 12, 24 months Medication side effects, use of home monitoring, satisfaction with care, self-efficacy and confidence Other Outcomes: Cardiovascular biomedical outcomes from EHR data Hypertension care process measures Repeat BP measurement, recognition and action on uncontrolled BP Follow-up visit completion Intervention engagement and treatment components Ongoing mixed methods evaluation work following RE-AIM model from patient, clinician, clinic, and system perspectives. Define MTM

Blood Pressure Checks and Hypertension Diagnosis BP-CHECK Patient Centered Outcomes Research Institute CER-1511-32979 Bev Green, MD, MPH – Principal Investigator Kelly Ehrlich, MS – Project Manager  

BP Checks and Diagnosing Hypertension – BP CHECK Patient Centered Outcomes Research Institute CER-1511-32979  US Preventive Services Task Force and ACC/AHA hypertension guidelines recommend out of office blood pressure (BP) monitoring prior to making a new diagnosis of hypertension: The preferred method is 24-hr ambulatory BP monitoring – but home BPs are an option. There is lack of knowledge on whether kiosk BPs could also be used. BP-CHECK is a randomized controlled diagnostic trial comparing 3 methods for diagnosing hypertension (clinic, home, and kiosk BPs) to 24-hr ambulatory BP monitoring (the reference standard) | CONFIDENTIAL

BP–CHECK is being conducted within the Healthcare Delivery System We use EHR data to identify patients: Aged 18-85 Last visit with a high BP No diagnosis of hypertension Not on hypertension medications Excluded those with atrial fibrillation/arrhythmias, pregnant Patients received an invitation letter, called, and invited to come to their own clinic for a research screening visit. If BP was high on each of 2 measurements (either systolic or diastolic BP) and consent they and randomized

Randomized 3-Arm Diagnostic Trial BPs and Patient Self-Reported Data Collected at 4 Visits Visit 1 - Randomized to 1 of 3 Diagnostic Groups Arm 1 - Clinic BPs Arm 2 - Home BPs Arm 3 - Kiosk BPs Asked to make an appointment (or walk in visit) for a BP check Received a home BP monitor and training Asked to measure BP twice a day (2 BPs each time) for 5 days. Received smart card for collecting BPs, and kiosk training Asked to use the BP kiosk at their clinic or a local drug store on3 separate days (3 measurements each time) BPs collected from the EHR BPs collected from the home BP monitor (downloaded at visit 2) BPs collected in the cloud Visit 2 - Returned to clinic after 3 weeks all asked to complete 24 hour ambulatory BP monitor monitoring Visit 3 (next day) 24 – hour BP monitor test BP data downloaded Patient and their physician received the results Visit 4 at 6 months | CONFIDENTIAL

BP-CHECK Outcomes Primary outcome: accuracy and acceptability of each method compared to ambulatory BP monitoring. Secondary outcomes include whether a clinician made a diagnosis that was congruent with the ambulatory BP results and BP control 6 months after randomization. Mixed methods (provider surveys and interviews) used to understand patient and provider knowledge, attitudes, and beliefs about BP measurement and feasibility of integrating different methods for diagnosing hypertension into routine care. | CONFIDENTIAL

Challenges, Adaptations, & Lessons Learned Hyperlink 3 BP Check PCORnet BP Control Lab 1-2 questions after each, discussion to follow

Open Discussion Contact Information: Valy Fontil: Valy.Fontil@ucsf.edu Madelaine Faulkner: Madelaine.Faulkner@ucsf.edu Karen Margolis: Karen.L.Margolis@healthpartners.com Anna Bergdall: Anna.R.Bergdall@healthpartners.com Bev Green: Bev.B.Green@kp.org Kelly Ehrlich: Kelly.J.Ehrlich@kp.org Steve Clauser: sclauser@pcori.org