Using Consistently Low Performance to Identify Low-Quality Physician Groups
Christina A Nguyen1,2, Lauren G Gilstrap3,4, Michael E Chernew2
1Massachusetts Institute of Technology, Cambridge.
Importance:
There has been a growth in the use of performance-based payment models in the past decade, but inherently noisy and stochastic quality measures complicate the assessment of the quality of physician groups. Examining consistently low performance across multiple measures or multiple years could potentially identify a subset of low-quality physician groups.
Objective:
To identify low-performing physician groups based on consistently low performance after adjusting for patient characteristics across multiple measures or multiple years for 10 commonly used quality measures for diabetes and cardiovascular disease (CVD).
Design, Setting, And Participants:
This cross-sectional study used medical and pharmacy claims and laboratory data for enrollees ages 18 to 65 years with diabetes or CVD in an Aetna health insurance plan between 2016 and 2019. Each physician group's risk-adjusted performance for a given year was estimated using mixed-effects linear probability regression models. Performance was correlated across measures and time, and the proportion of physician groups that performed in the bottom quartile was examined across multiple measures or multiple years. Data analysis was conducted between September 2020 and May 2021.
Exposures:
Primary care physician groups.
Main Outcomes And Measures:
Performance scores of 6 quality measures for diabetes and 4 for CVD, including hemoglobin A1c (HbA1c) testing, low-density lipoprotein testing, statin use, HbA1c control, low-density lipoprotein control, and hospital-based utilization.
Results:
A total of 786 641 unique enrollees treated by 890 physician groups were included; 414 655 (52.7%) of the enrollees were men and the mean (SD) age was 53 (9.5) years. After adjusting for age, sex, and clinical and social risk variables, correlations among individual measures were weak (eg, performance-adjusted correlation between any statin use and LDL testing for patients with diabetes, r = -0.10) to moderate (correlation between LDL testing for diabetes and LDL testing for CVD, r = .43), but year-to-year correlations for all measures were moderate to strong. One percent or fewer of physician groups performed in the bottom quartile for all 6 diabetes measures or all 4 cardiovascular disease measures in any given year, while 14 (4.0%) to 39 groups (11.1%) were in the bottom quartile in all 4 years for any given measure other than hospital-based utilization for CVD (1.1%).
Conclusions And Relevance:
A subset of physician groups that was consistently low performing could be identified by considering performance measures across multiple years. Considering the consistency of group performance could contribute a novel method to identify physician groups most likely to benefit from limited resources.
Insights
Consistently low performance across multiple quality measures and years can identify underperforming physician groups. This method helps target interventions to improve care quality for diabetes and cardiovascular disease patients.
Area of Science:
- Healthcare Quality Improvement
- Health Services Research
- Performance Measurement
Background:
- Performance-based payment models are increasingly used in healthcare.
- Assessing physician group quality is challenging due to noisy quality measures.
- Consistent underperformance across measures or time may indicate low-quality groups.
Purpose of the Study:
- To identify physician groups with consistently low performance.
- The study focused on multiple quality measures for diabetes and cardiovascular disease (CVD).
- Risk adjustment for patient characteristics was applied across multiple years.
Main Methods:
- Cross-sectional study using claims and laboratory data (2016-2019).
- Risk-adjusted performance estimated using mixed-effects linear probability regression.
- Examined performance correlations across measures and time for 10 quality measures.
Main Results:
- Analysis included 786,641 enrollees and 890 physician groups.
- Year-to-year performance correlations were moderate to strong.
- 11.1% of groups were in the bottom quartile for a measure across all 4 years.
Conclusions:
- Consistently low performance across multiple years identifies a subset of physician groups.
- This approach offers a novel method for identifying groups needing support.
- Targeting resources to consistently underperforming groups can improve care quality.
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