Personalized Physician Learning to Improve Hypertension Care

Overview

In this project the investigators implement and test the ability of a Personalized Physician Learning (PPL) intervention to improve hypertension (HT) care with the following specific aims: Specific Aim 1: Implement two versions of a Personalized Physician Learning (PPL) intervention and assess the ability of these interventions to improve hypertension control in primary care practice. * Hypothesis 1: Patients of physicians who receive the REAL+PPL Intervention (Group 1) will subsequently have better HT control compared to patients of control group physicians (Group 3). * Hypothesis 2: Patients of physicians who receive the SIM+PPL Intervention (Group 2) will subsequently have better HT control compared to patients of control group physicians (Group 3). * Hypothesis 3: Patients of physicians who receive the REAL+PPL (Group 1) will subsequently have better HT control compared to patients of physicians who receive the SIM+PPL (Group 2). Specific Aim 2: Assess the cost-effectiveness of the SIM+PPL and REAL+PPL interventions, relative to no intervention.

The objective of this project is to improve hypertension (HT) control by implementing two Personalized Physician Learning interventions designed for primary care physicians (PCPs). Improved HT control has long been identified as a major national health care priority because uncontrolled HT is a leading cause of stroke(CVA), congestive heart failure (CHF), chronic kidney disease (CKD), end-stage renal disease (ESRD),myocardial infarction (MI), and other adverse health events. The cost of uncontrolled HT and its sequelae is estimated to be at least $100 billion dollars a year in the U.S., and there has been only minimal improvement in HT care in recent decades. Currently, of an estimated 68 million Americans with HT, about 42 million remain uncontrolled. Personalized Physician Learning (PPL) interventions are powerful enough to change physician behavior and improve HT care. The PPL interventions in this project are directed to individual primary care physicians(PCPs) using a simple 3-step approach: (a) Analyze each physician's pre-intervention patterns of HT care to identify specific failures of physician decision making in HT care, (b) Provide each physician with a series of personalized HT learning cases designed to correct the failures of decision making that result in that physician's observed patterns of HT care. Learning cases provide iterative on-screen feedback of blood pressure (BP) changes in response to a sequence of changes in therapy, expert-generated suggestions for better HT care, and adaptive selection of subsequent cases until identified errors in decision making are mastered. (c) Assess intervention impact on the care of actual patients with HT in the post-intervention period, to assess transfer of learning from the simulated to the office practice environment. The PPL intervention strategy is based on recent work in cognitive science and learning theory and has been successfully applied in other research and educational settings, although it has yet to be applied to HT care.