Protocol for pragmatic randomised trial: integrating electronic health record-based behavioural economic 'nudges' into the electronic health record to reduce preoperative testing for patients undergoing cataract surgery.

INTRODUCTION: Robust randomised trial data have shown that routine preoperative (pre-op) testing for cataract surgery patients is inappropriate. While guidelines have discouraged testing since 2002, cataract pre-op testing rates have remained unchanged since the 1990s. Given the challenges of reducing low-value care despite strong consensus around the evidence, innovative approaches are needed to promote high-value care. This trial evaluates the impact of an interdisciplinary electronic health record (EHR) intervention that is informed by behavioural economic theory. METHODS AND ANALYSIS: This pragmatic randomised trial is being conducted at UCLA Health between June 2021 and June 2022 with a 12-month follow-up period. We are randomising all UCLA Health physicians who perform pre-op visits during the study period to one of the three nudge arms or usual care. These three nudge alerts address (1) patient harm, (2) increased out-of-pocket costs for patients and (3) psychological harm to the patients related to pre-op testing. The nudges are triggered when a physician starts to order a pre-op test. We hypothesise that receipt of a nudge will be associated with reduced pre-op testing. The primary outcome will be the change in the percentage of patients undergoing pre-op testing at 12 months. Secondary outcomes will include the percentage of patients undergoing specific categories of pre-op tests (labs, EKGs, chest X-rays (CXRs)), the efficacy of each nudge, same-day surgery cancellations and cost savings. ETHICS AND DISSEMINATION: The study protocol was approved by the institutional review board of the University of California, Los Angeles as well as a nominated Data Safety Monitoring Board. If successful, we will have created a tool that can be disseminated rapidly to EHR vendors across the nation to reduce inappropriate testing for the most common low-risk surgical procedures in the country. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier: NCT04104256.

The Population Health Value Framework: Creating Value by Reducing Costs of Care for Patient Subpopulations With Chronic Conditions.

PROBLEM: With the growth in risk-based and accountable care organization contracts, creating value by redesigning care to reduce costs and improve outcomes and the patient experience has become an urgent priority for health care systems. APPROACH: In 2016, UCLA (University of California, Los Angeles) Health implemented a system-wide population health approach to identify patient populations with high expenses and promote proactive, value-based care. The authors created the Patient Health Value framework to guide value creation: (1) identify patient populations with high expenses and reasons for spending, (2) create design teams to understand the patient story, (3) create custom analytics and spending-based risk stratification, and (4) develop care pathways based on spending risk tiers. Primary care patients with three chronic conditions-dementia, chronic kidney disease (CKD), and cancer-were identified as high-cost subpopulations. OUTCOMES: For each patient subpopulation, a multispecialty, multidisciplinary design team identified reasons for spending and created care pathways to meet patient needs according to spending risk. Larger, lower-risk cohorts received necessary but less intensive interventions, while smaller, higher-risk cohorts received more intensive interventions. Preliminary analyses showed a 1% monthly decrease in inpatient bed day utilization among dementia patients (incident rate ratio [IRR] 0.99, P < .03) and a 2% monthly decrease in hospitalizations (IRR 0.98, P < .001) among CKD patients. NEXT STEPS: Use of the Patient Health Value framework is expanding across other high-cost subpopulations with chronic conditions. UCLA Health is using the framework to organize care across specialties, build capacity, and grow a culture for value.

Building the Infrastructure for Value at UCLA: Engaging Clinicians and Developing Patient-Centric Measurement.

PROBLEM: Evolving payer and patient expectations have challenged academic health centers (AHCs) to improve the value of clinical care. Traditional quality approaches may be unable to meet this challenge. APPROACH: One AHC, UCLA Health, has implemented a systematic approach to delivery system redesign that emphasizes clinician engagement, a patient-centric scope, and condition-specific, clinician-guided measurement. A physician champion serves as quality officer (QO) for each clinical department/division. Each QO, with support from a central measurement team, has developed customized analytics that use clinical data to define targeted populations and measure care across the full treatment episode. OUTCOMES: From October 2012 through June 2015, the approach developed rapidly. Forty-three QOs are actively redesigning care delivery protocols within their specialties, and 95% of the departments/divisions have received a customized measure report for at least one patient population. As an example of how these analytics promote systematic redesign, the authors discuss how Department of Urology physicians have used these new measures, first, to better understand the relationship between clinical practice and outcomes for patients with benign prostatic hyperplasia and, then, to work toward reducing unwarranted variation. Physicians have received these efforts positively. Early outcome data are encouraging. NEXT STEPS: This infrastructure of engaged physicians and targeted measurement is being used to implement systematic care redesign that reliably achieves outcomes that are meaningful to patients and clinicians-incorporating both clinical and cost considerations. QOs are using an approach, for multiple newly launched projects, to identify, test, and implement value-oriented interventions tailored to specific patient populations.