As part of UCLA Health's commitment to developing a premier integrated health system built on a foundation of physician-led, team-based primary care, the Department of Medicine (DOM) recently implemented a new performance based incentive plan called the Primary Care Clinical Excellence (PCCE) Incentive Plan. This incentive plan was developed to motivate providers to improve health maintenance screening rates. The UCLA Health DOM Quality team is leading the implementation and evaluation of this new incentive plan across our primary care network. In addition, the DOM Quality team has partnered with the UCLA Anderson School of Management to study the most efficacious ways to frame and communicate performance based incentives. Understanding the factors that motivate physicians to deliver the highest quality primary care will provide pivotal insights into the successful implementation of performance based programs nationwide. The investigators believe that physicians who receive communication built on behavioral principles will demonstrate more motivation towards and success at meeting national primary care screening guidelines.
Currently, UCLA Health has 42 primary care clinics staffed with approximately 205 PCP's serving more than 300,000 patients. In order to improve health maintenance screening rates associated with the performance based program, the investigators will use a communication strategy that leverages behavioral principles to motivate providers to improve health maintenance screening rates. The investigators will implement a three-arm experimental communication campaign that includes monthly messages. The communication strategy will utilize behavioral change theory (particularly social comparison and recognition) to improve physician performance in health maintenance quality metrics. This study will primarily focus on one quality domain of the PCCE incentive program-Clinical Quality. Two further quality domains of the PCCE incentive program will serve as exploratory measures: Patient Experience and Professional Participation. For the primary outcome measure and high-priority secondary outcome measures, the investigators will first evaluate whether the combination of arms 2 and 3 differs from arm 1 in terms of the measures listed in the Outcome Measures section. If this comparison is statistically significant, the investigators will next compare arms 1 vs 2. and then, if also significant, the investigators will compare arms 1 vs 3 and 2 vs 3. For the 1 vs 3 and 2 vs 3 comparisons, we will use a Holm-Bonferroni p-value correction. These comparisons of treatment arms will be performed at the patient level using a mixed effects regression model, including random physician and clinic effects to account for clustering of patients. Control variables include (1) patient baseline order rates (or completion rates depending on the outcome measure) in July-October 2019, (2) patient characteristics (age, gender, comorbidity, insurance plan, zip code), and (3) physician characteristics (gender, race, years practiced, years at UCLA Health). Unless otherwise specified, p-values less than 0.05 will be considered statistically significant.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Enrollment
225
This is the base communication that all physicians will receive.
The social comparison is added onto the standard communication email to provide some peer comparison between the physicians.
Clinic and Physician leads will be provided with a clinic leadership training seminars in leadership, quality improvement, and support from the Quality Improvement team at UCLA Health.
UCLA Health Department of Medicine, Quality Office
Brentwood, California, United States
Aggregate Focus Quality Measure order rates at the first visit
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, we will consider all Focus Quality Measures open at his/her first visit to the PCP, and calculate the percent of these measures ordered within 7 days following his/her first visit. Focus Quality Measures include: Diabetes HGB A1C, Diabetes Eye Exam, Diabetes Foot Exam, Diabetes Nephropathy Monitoring, Colon Cancer Screening, Breast Cancer screening, Cervical Cancer Screening, chlamydia screening, and HPV depending on primary care specialty. These Focus Measures are based on the USPSTF primary care recommendations. \[Note: The original intent was to run the study over an eight month period - from November 1, 2019 through June 30, 2020 - but was cut short due to the COVID-19 pandemic. Our revised time frame includes (1) four full cycles (months) of the intervention (11/05/2019-03/03/2020) and four months prior to the experiment as a baseline period\]
Time frame: 9 months
Aggregate Focus Quality Measure completion rates measured at the patient level
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, we will consider all Focus Quality Measures that are open between November 5, 2019 and March 3, 2020. We will calculate the percentage of these measures completed between November 5, 2019 and March 10, 2020 as well as the percentage completed between November 5, 2019 and July 3, 2020.
Time frame: 13 months
Individual Focus Quality Measure order status at the first visit
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, for each Focus Quality Measure open at his/her first visit to the PCP, we will assess whether the open measure is ordered within 7 days following his/her first visit.
Time frame: 9 months
Individual Focus Quality Measure completion status at the patient level
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, for each Focus Quality Measure open between November 5, 2019 to March 3, 2020, we will assess whether the measure is completed (1) between November 5, 2019 and March 10, 2020 as well as (2) between November 5, 2019 and July 3, 2020.
Time frame: 13 months
Complementary Health Maintenance order rate at the first visit
As measured by aggregate order rates for Complementary Health Maintenance Measures within seven days after each patient's first visit. Complementary Measures (Abdominal Aortic Aneurysm Screening, Osteoporosis Screening, Hepatitis C Screening, HIV Screening, Pneumococcal Vaccination, Tetanus Vaccination, Tdap Vaccination During Pregnancy, Shingles Vaccination, Meningitis Vaccination, Measles Mumps Rubella Vaccination, Polio Vaccination, Hepatitis A Vaccination, Hepatitis B vaccination, Pneumococcal Vaccination for Patients with Diabetes, Statin for Primary ASCVD Prevention, Aspirin for Secondary ASCVD Prevention, and Annual Wellness Visit) are based on USPSTF primary care recommendations regarding disease management, infectious disease screening, and standard vaccinations.
Time frame: 9 months
Complementary Health Maintenance completion rate at the patient level
As measured by patient level aggregate performance Complementary Health Maintenance Measures (1) between November 5, 2019 and March 10, 2020 as well as (2) between November 5, 2019 and July 3, 2020.
Time frame: 13 months
Physician Burnout
Physicians will be surveyed to evaluate their level of burnout throughout the study period.
Time frame: 9 months
Physician Satisfaction
Physicians will be surveyed for their satisfaction throughout the study period.
Time frame: 9 months
Physician Experience
Physicians will be surveyed regarding their provider experience throughout the study period.
Time frame: 1 year
Physician Incentive Payouts
Payment of performance based financial incentive to physicians throughout the study period.
Time frame: 1 year
Patient Satisfaction
Physician performance in patient satisfaction surveys throughout the study period.
Time frame: 1 year
Profesional Participation
Physician performance in professional participation will be based on provider/physician surveys throughout the study period.
Time frame: 1 year
Aggregate Focus Quality Measure order rates measured at the patient level
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, we will consider all Focus Quality Measures that are open between November 5, 2019 and March 3, 2020, and calculate the percentage of these measures ordered between November 5, 2019 and March 10, 2020.
Time frame: 9 months
Aggregate Health Maintenance (HM) order rates measured at the patient level
HM order rate is determined by the aggregate order rate of measures within the primary care Health Maintenance module of EPIC EHR ("Focus Quality Measures") and other Quality Measures that are not in the Health Maintenance module ("Complementary Measures"). Both the Focus Quality Measures and Complementary Measures are based on USPSTF primary care recommendations regarding disease management, infectious disease screening, cancer screening, and standard vaccinations.
Time frame: 9 months
Aggregate Health Maintenance (HM) completion rates measured at the patient level
HM completion rate is determined by the aggregate completion rate of variables within the primary care Health Maintenance module of EPIC EHR ("Focus Quality Measures") and other Quality Measures that are not in the Health Maintenance module ("Complementary Measures").
Time frame: 13 months
Individual Focus Quality Measure order status at the patient level
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, for each Focus Quality Measure open between November 5, 2019 to March 3, 2020, we will assess whether the measure is ordered between November 5, 2019 and March 10, 2020.
Time frame: 9 months
The proportion of patients in the panel who visited a given physician
For each primary care physician, we assign patients to their panel using an attribution model. This model assigns patients to a physician if they have been seen by that physician within the last 3 years. Additional patient attribution logic includes: 1) the physician with a preventive/wellness visit in the prior 1 year is attributed first, 2) if there is no preventive/wellness visit in the prior 1 year, the physician with the largest number of visits is attributed, and 3) if there is a tie in either the preventive/wellness visit or number of visit scenario, the physician with the most recent visit is attributed. Once patients are assigned using the above attribution model, patients who have at least one visit with their attributed physician from November 5, 2019 to March 3, 2020 will be included in our evaluation.
Time frame: 6 months
New Patients
For each physician, we will identify the number of new patients they have from November 5, 2019 to March 3, 2020.
Time frame: 6 months
Number of Visits
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, we will measure the total number of times he/she visits the PCP from November 5, 2019 to March 3, 2020.
Time frame: 6 months
Number of Open Tests
For each patient who visits a given PCP in our sample from November 5, 2019 to March 3, 2020, we will measure the number of open measures he/she has at the first visit as well as the total number of open measures he/she has from November 5, 2019 to March 3, 2020.
Time frame: 6 months
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