Assessing reliability of quality measures across oncology practices: Implications for value-based payment.

Authors

null

Rebecca A. Bromley-Dulfano

Stanford University School of Medicine, Stanford, CA

Rebecca A. Bromley-Dulfano, Mary Beth Landrum, Gabriel A. Brooks, Alexi A. Wright, Nancy Lynn Keating

Organizations

Stanford University School of Medicine, Stanford, CA, Department of Health Care Policy, Harvard Medical School, Boston, MA, Darthmouth-Hitchcock Medical Center, Hannover, NH, Dana-Farber Cancer Institute, Boston, MA, Harvard Medical School, Boston, MA

Research Funding

U.S. National Institutes of Health
U.S. National Institutes of Health, AHRQ

Background: Identifying reliable measures that distinguish care quality at the medical oncology practice level is crucial to ensuring delivery of high-value cancer care, particularly as alternative payment models in oncology become more frequent. We assessed reliability of several claims-based quality measures across oncology practices. Methods: Using 100% Medicare claims data for fee-for-service beneficiaries with cancer, we identified 6-month chemotherapy episodes starting in four 6-month performance periods (PPs) from July 2017 to June 2019. We assessed quality measures of acute care utilization among all episodes and end-of-life (EOL) care among decedents who died during or by 90 days of the episode’s end. We estimated practice-level adjusted rates from hierarchical linear models with practice-level random effects, PP fixed effects, and clinical/demographic controls. We documented intraclass correlation (ICC, variation attributed to practice) and calculated reliability (reproducibility) for the most recent 6-month PP for each measure from the between-measure variance, within-measure variance, and number of episodes per practice, excluding practices with <20 episodes. We considered reliability ≥70% (ie, <30% of variation in practices’ performance due to chance instead of true quality differences) to be adequate. Results: Among 443,865 patients from 2,307 practices, 90% were >65 years old, 84% were White, 31% had lung or breast cancer. The median (IQR) number of patients in practices with ≥20 episodes was 59 (17-195). Most ICCs were low, suggesting limited variation across practices (Table). All the utilization and EOL measures had a practice-level reliability of <70% for the average-sized practice (Table). Most measures demonstrated little variation over time (<2 percentage point difference over 4 PPs). Conclusions: None of the measures studied were reliable for average-sized practices, suggesting limited ability to distinguish care quality across practices treating fee-for-service Medicare patients within a single PP, except among larger practices. Several measures would be reliable for many practices over an evaluation period of 1-2 years, with a tradeoff of using less current data to monitor performance.

Reliability of measures across practices.

MeasureICCAverage N Episodes/Practice per PPReliability at Average Practice SizeN Episodes/Practice for ≥70% Reliability
Utilizationa
% with ED visit during episode0.006619256.0%351
% with hospitalization during episode0.003119237.7%738
EOLb
% with ICU stay in last 30 day of life0.02032937.5%113
% enrolled in hospice ≥3 days before death0.01552931.4%149
% with hospitalization in last 30 days of lifea0.00702917.0%331
% with ≥2 ED visits in last 30 days of life0.00522913.1%450
% with chemotherapy in last 14 days of life0.0034299.1%678

aMeasures from Oncology Care Model.

bMeasures from National Quality Forum.

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Abstract Details

Meeting

2023 ASCO Quality Care Symposium

Session Type

Rapid Oral Abstract Session

Session Title

Rapid Oral Abstract Session A

Track

Cost, Value, and Policy,Technology and Innovation in Quality of Care,Health Care Access, Equity, and Disparities,Patient Experience

Sub Track

Value-Based Models of Care

Citation

JCO Oncol Pract 19, 2023 (suppl 11; abstr 4)

DOI

10.1200/OP.2023.19.11_suppl.4

Abstract #

4

Abstract Disclosures

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