Evidence map›Paper›PMID 41290059›Full record

ArticleJournal of pain and symptom management2026

Validation of a Claims-Based Algorithm for Specialist Palliative Care Delivery in Metastatic Cancer.

May Hua, Zhixin Yang, Ling Guo, J Brian Cassel, R Sean Morrison, Guohua Li

Abstract readValidation Study
In one paragraph

Article in Journal of pain and symptom management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

May HuaDepartment of Anesthesiology (MH), College of Physicians and Surgeons, Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY. Electronic address: mh2633@cumc.columbia.edu.
Zhixin YangDepartment of Anesthesiology (ZY, LG), College of Physicians and Surgeons, Columbia University, New York, NY.
Ling GuoDepartment of Anesthesiology (ZY, LG), College of Physicians and Surgeons, Columbia University, New York, NY.
J Brian CasselDepartment of Internal Medicine (JBC), Virginia Commonwealth University School of Medicine, Richmond, VA.
R Sean MorrisonIcahn School of Medicine at Mount Sinai and James J Peters VA (RSM), New York, NY.
Guohua LiCenter for Health Policy and Outcomes in Anesthesia and Critical Care (GL), Department of Anesthesiology, Columbia University College of Physicians and Surgeons, and Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.

Funding

Residing in the Community with Dementia at the End of Life: Understanding Hospice Use and Residential SettingP30AG028741 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALBERT L SIU · 2010 to 2026
$21.9M
Advanced-Stage Development of a Geriatric Palliative Care Research InfrastructureR33AG065726 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALDRIDGE, MELISSA DIANE, MORRISON, R. SEAN · 2020 to 2024
$3.4M
Determinants of Palliative Care Effectiveness for Patients with Metastatic CancerR37CA246565 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI May Hua · 2021 to 2026
$3.3M
NCI NIH HHS R37 CA246565NIA NIH HHS P30 AG028741NIA NIH HHS R33 AG065726
6 · The paper itself

Abstract

contextThe lack of valid methods to identify specialist palliative care (PC) delivery in population-level data impedes comprehensive understanding of its use.

objectiveTo develop and validate a claims-based algorithm to identify receipt of specialist PC in Medicare beneficiaries with metastatic cancer.

methodsWe developed a claims-based algorithm to identify specialist PC, using a physician billing claim from a known PC clinician as the gold standard, retaining candidate variables with a positive predictive value (PPV) >60%. We evaluated algorithm performance and conducted simulation to measure bias resulting from algorithm use when examining the association between specialist PC and outcomes.

resultsWe identified 1,384,750 claims from 68,121 patients. The prevalence of specialist PC was 3.8% on the claim-level and 26.8% on the patient-level. The provider specialty code for "hospice and palliative care" (PPV 80.4%) and the diagnosis code Z51.5 for "encounter for palliative care" (PPV 67.5%) were included, where claims were counted as specialist PC if they had either variable. PPV and sensitivity of the algorithm were 68.0% and 83.0% respectively on a claim-level, and 78.4% and 88.3% respectively on a patient-level. Percent bias differed by outcome (hospice 4.2%, hospice enrollment ≥3 days 5.3%, intensive care unit use in the last 30 days of life -1.7%, chemotherapy use in the last 14 days of life -1.3%).

conclusionsA simple algorithm can identify receipt of specialist PC care in Medicare claims for patients with metastatic cancer with reasonable accuracy. Algorithm use results in potentially acceptable amounts of bias, depending on study aims.

Indexed as

AlgorithmsNeoplasmsPalliative CareAgedAged, 80 and overFemaleHumansInsurance Claim ReviewMaleMedicareNeoplasm MetastasisReproducibility of ResultsSpecializationUnited Statesalgorithmsdelivery of health carehospicesneoplasmsPalliative carepredictive value of tests

Identifiers

PMID41290059
PMCPMC12668232

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.