Evidence map›Paper›PMID 40452367›Full record

ArticleArthritis care & research2025

Agreement of Administrative Pharmacy Dispensing With Self-Reported Use of Oral Prednisone in US Veterans With Rheumatoid Arthritis.

Beth I Wallace, Bryant R England, Joshua F Baker, Michael D George, Brian C Sauer, Jorge Rojas, Punyasha Roul, Katherine D Wysham, Hannah Brubeck, Isaac Smith and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Arthritis care & research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Beth I WallaceVA Ann Arbor Healthcare System and University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-1802-1427
Bryant R EnglandVA Nebraska-Western Iowa Healthcare System and University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-9649-3588
Joshua F BakerHospital of the University of Pennsylvania and VA Philadelphia Healthcare System, Philadelphia, Pennsylvania.
Michael D GeorgeHospital of the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0002-0398-2308
Brian C SauerVA Salt Lake City Healthcare System and University of Utah, Salt Lake City, Utah.ORCID 0000-0002-3546-3051
Jorge RojasVA Salt Lake City Healthcare System, Salt Lake City, Utah, and VA Puget Sound Health Care System, Seattle, Washington.
Punyasha RoulUniversity of Nebraska Medical Center, Omaha, Nebraska.
Katherine D WyshamVA Puget Sound Health Care System and University of Washington, Seattle.
Hannah BrubeckVA Puget Sound Health Care System and University of Washington, Seattle.
Isaac SmithDuke University and VA Durham Health Care System, Durham, North Carolina.
Liron CaplanRocky Mountain Regional VA Medical Center, Aurora, and University of Colorado, Denver, Colorado.
Paul A MonachVA Boston Healthcare System and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4937-0515
Gail S KerrVA Washington DC Healthcare System, Georgetown-Howard University, and Howard University, Washington, DC.ORCID 0000-0002-4930-3235
Gary KunkelVA Salt Lake City Healthcare System and University of Utah, Salt Lake City, Utah.
Tawnie BraatenVA Salt Lake City Healthcare System and University of Utah, Salt Lake City, Utah.
Ted R MikulsVA Nebraska-Western Iowa Healthcare System and University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-0897-2272
Grant W CannonVA Salt Lake City Healthcare System and University of Utah, Salt Lake City, Utah.ORCID 0000-0001-6640-9173

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ZHANG, YING · 2016 to 2025
$42.8M
Research Project 3U54MD012530 · NIMHD · DUKE UNIVERSITY · PI JOHNSON, KIMBERLY S. · 2017 to 2022
$8.8M
BLRD VA I01 BX003635CSRD VA IK2 CX002203CSRD VA IK2 CX002351CSRD VA IK2 CX002430Duke University 3U54MD012530-05S2NIGMS NIH HHS U54 GM115458NIH HHS U54GM115458NIMHD NIH HHS U54 MD012530Rheumatology Research FoundationRRD VA I01 RX003644RRD VA I01 RX004770U.S. Department of Defense PR200793U.S. Department of Veterans Affairs BX003635U.S. Department of Veterans Affairs CX002203U.S. Department of Veterans Affairs CX002430U.S. Department of Veterans Affairs ICX002351U.S. Department of Veterans Affairs RX003644U.S. Department of Veterans Affairs RX004770l
6 · The paper itself

Abstract

objectiveAdministrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims-based algorithms for glucocorticoid use compared to self-report in an RA population.

methodsParticipants with RA enrolled at seven Veterans Affairs Rheumatoid Arthritis (VARA) Registry sites were asked six questions as part of clinical care assessing current prednisone use and dose, recent use, "stockpiling," and receiving prednisone outside the Department of Veterans Affairs (VA). Algorithms using VA prescription claims operationalized current use (active prescription on date of self-report assessment), current dose (that prescription's mean dose), and recent use (active course overlapping the prior 30 or 90 days). We assessed performance characteristics and agreement, benchmarked on self-report.

resultsOf 284 participants, 13% reported current prednisone use and 20% reported 90-day use. Sensitivity, specificity, positive predictive value, and negative predictive value were 0.70, 0.98, 0.84, and 0.96, respectively, for current use and 0.71, 0.92, 0.72, and 0.92, respectively, for 90-day use. Cohen's κ was 0.68 for current use and 0.63 for 90-day use. Among participants reporting ≤5 mg/day, agreement for dose was high (weighted κ 0.67). One in four participants reported a stockpile, and one in four reported receiving prednisone from a non-VA provider.

conclusionAlgorithms derived from VA claims detecting prednisone prescriptions have high validity compared to patient self-report. The modest sensitivity of these algorithms may reflect stockpiling and non-VA prescriptions. These findings form a basis for contextualizing real-world studies of glucocorticoid use in RA and improve clinical estimation of glucocorticoid use not captured in claims.

Indexed as

Arthritis, RheumatoidGlucocorticoidsPrednisoneSelf ReportVeteransAdministration, OralAgedAlgorithmsFemaleHumansMaleMiddle AgedRegistriesUnited StatesGlucocorticoidsPrednisone

Identifiers

PMID40452367
PMCPMC12233313

What OpenQuestion holds

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LicenceCC BY-NC
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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.