Evidence map›Paper›PMID 31756128›Full record

ArticleJCO clinical cancer informatics2019

Feasibility of Capturing Cancer Treatment Data in the Utah All-Payer Claims Database.

Mia Hashibe, Judy Y Ou, Kimberly Herget, Dan Bolton, Jordan McPherson, Charles Hawley, Jennifer Garvin, Jennifer A Doherty, Carol Sweeney

Open access · greenAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Mia HashibeUtah Cancer Registry, University of Utah, Salt Lake City, UT.
Judy Y OuUtah Cancer Registry, University of Utah, Salt Lake City, UT.
Kimberly HergetUtah Cancer Registry, University of Utah, Salt Lake City, UT.
Dan BoltonUniversity of Utah School of Medicine, Salt Lake City, UT.
Jordan McPhersonUniversity of Utah School of Medicine, Salt Lake City, UT.
Charles HawleyUtah Department of Health, Salt Lake City, UT.
Jennifer GarvinUniversity of Utah, Salt Lake City, UT.
Jennifer A DohertyUtah Cancer Registry, University of Utah, Salt Lake City, UT.
Carol SweeneyUtah Cancer Registry, University of Utah, Salt Lake City, UT.
University of Utah · USUtah Department of Health · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI CORNELIA M ULRICH · 1986 to 2026
$72.6M
NCI NIH HHS P30 CA042014
6 · The paper itself

Abstract

purposeIncompleteness of treatment data is a recognized limitation of cancer registry data. An all-payer claims database (APCD) is a tool that states use to capture health care information across systems and payer. We linked the Utah Cancer Registry (UCR) records to Utah's statewide APCD and evaluated how this linkage led to improvements in the capture of cancer treatment information.

methodsWe linked cancers diagnosed and reported to the UCR with Utah APCD claims for the calendar years 2013 and 2014 using LinkPlus Software. For patients with breast or colorectal cancers, manual abstraction was completed to provide a gold-standard comparison for the treatment data obtained from the claims.

resultsAmong 10,759 reportable cancer occurrences linked to the APCD, the claims identified additional patients with cancer who received therapies that had been unknown to the registry, increasing the proportion treated with chemotherapy from 23.7% to 27.6%, hormone therapy from 14.1% to 18.8%, immunotherapy from 4.3% to 13.2%, and radiation therapy from 24.9% to 27.5%. The APCD increased the sensitivity of treatment variables compared with the abstraction gold standard. Notably, sensitivity of hormonal therapy for breast cancer increased from 78.6% to 95.2% when augmented with APCD claims data. However, the APCD alone did not achieve as high specificity for treatment data as did the data collected through traditional registry methods.

conclusionsThis is the first study, to our knowledge, showing that linking cancer registry data with a statewide claims database that covers multiple insurance companies improves cancer treatment data collection. Linking of cancer registry and APCD data can improve comprehensiveness of cancer registry treatment data.

Indexed as

AgedDatabases, FactualData CollectionData ManagementFeasibility StudiesFemaleHumansInsurance Claim ReviewMaleMiddle AgedNeoplasmsRegistriesUtah

Identifiers

PMID31756128
PMCPMC6882521
OpenAlexW2989802570

What OpenQuestion holds

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Registered trials

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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.