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Engaging Primary Care Providers to Reduce Unwanted Clinical Variation and Support ACO Cost and Quality Goals: A Unique Provider-Payer Collaboration.
- Source :
- Population Health Management; Aug2019, Vol. 22 Issue 4, p321-329, 9p, 4 Charts, 1 Graph
- Publication Year :
- 2019
-
Abstract
- This project was undertaken to reduce unneeded variation among practicing primary care clinicians participating in an accountable care organization (ACO) and to raise quality and reduce costs. This real-world, quasi-controlled experiment compared ACO target improvements between 3 participating geographic regions and members within the ProHealth ACO against nonparticipating regions and members. The authors used a novel care standardization initiative to engage participating providers. This was a 2-year longitudinal study with 6 rounds of serially measured provider care decisions and customized individual and group improvement feedback. Participating providers cared for online patient simulations as they would actual patients, and their care decisions were scored against evidence-based guidelines. This approach generated significant increases in evidence-based quality scores (+27%) and reductions in unneeded testing (-55%) in the patient simulations. Improvements in the online simulated patients correlated with improvements in patient-level ACO quality measures, which showed gains above and beyond the quasi-control group. Reductions calculated for spending on unneeded tests and specialist referrals exceeded $4.8 million. This study found that supporting practicing physicians in ACOs with evidence-based feedback significantly improved care and cost-efficiency. [ABSTRACT FROM AUTHOR]
- Subjects :
- CUSTOMER satisfaction
COST control
DIABETES
HEALTH facilities
HEART failure
INTERPROFESSIONAL relations
LONGITUDINAL method
RESEARCH methodology
CASE studies
MEDICAL quality control
MEDICAL care use
MEDICAL care costs
MEDICAL protocols
MEDICAL referrals
PRIMARY health care
QUALITY assurance
REGRESSION analysis
RESEARCH funding
SIMULATED patients
STATISTICS
PATIENT participation
DECISION making in clinical medicine
LOGISTIC regression analysis
DATA analysis software
DESCRIPTIVE statistics
ACCOUNTABLE care organizations
Subjects
Details
- Language :
- English
- ISSN :
- 19427891
- Volume :
- 22
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Population Health Management
- Publication Type :
- Academic Journal
- Accession number :
- 137930415
- Full Text :
- https://doi.org/10.1089/pop.2018.0111