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Validation of a Claims-Based Algorithm for Specialist Palliative Care Delivery in Metastatic Cancer
May Hua1, Zhixin Yang2, Ling Guo2
1Department of Anesthesiology (MH), College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
A new claims-based algorithm accurately identifies specialist palliative care (PC) for Medicare patients with metastatic cancer. This tool helps understand PC delivery and its impact on patient outcomes.
Area of Science:
- Health Services Research
- Oncology
- Gerontology
Background:
- Accurate identification of specialist palliative care (PC) delivery in population data is challenging.
- Understanding PC utilization is crucial for improving care for patients with advanced diseases.
Purpose of the Study:
- To develop and validate a claims-based algorithm for identifying specialist PC in Medicare beneficiaries with metastatic cancer.
Main Methods:
- A claims-based algorithm was developed using physician billing claims.
- A known PC clinician's claim served as the gold standard.
- Candidate variables with a positive predictive value (PPV) >60% were retained.
Main Results:
- The algorithm identified specialist PC using "hospice and palliative care" provider codes (PPV 80.4%) or Z51.5 diagnosis codes (PPV 67.5%).
- Patient-level PPV and sensitivity were 78.4% and 88.3%, respectively.
- Bias from algorithm use varied by outcome, with generally acceptable levels.
Conclusions:
- A simple algorithm can reliably identify specialist PC in Medicare claims for metastatic cancer patients.
- The algorithm demonstrates reasonable accuracy and acceptable bias for research purposes.
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