Evidence map›Paper›PMID 40612461›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Assessing insurance claims as a measure for outpatient antimicrobial stewardship.

Mariana M Lanata, Jacob T Kilgore, Brandi Holthaus, Jonathan M Willis, Tess Anderson, Borden Samples, Jennifer Sparks, Joseph E Evans, Bethany A Wattles, Michael J Smith

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. 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

10 authors.

Mariana M LanataDepartment of Pediatrics, Division of Pediatric Infectious Diseases, Marshall University Joan C. Edwards School of Medicine, Huntington, WV, USA.ORCID https://orcid.org/0000-0002-4987-0248
Jacob T KilgoreDepartment of Pediatrics, Division of Pediatric Infectious Diseases, Marshall University Joan C. Edwards School of Medicine, Huntington, WV, USA.ORCID https://orcid.org/0000-0001-9305-7994
Brandi HolthausDepartment of Pediatrics, Division of Pediatric Infectious Diseases, Duke University, Durham, NC, USA.
Jonathan M WillisDepartment of Information Technology, Marshall University Joan C Edwards School of Medicine, Huntington, WV, USA.
Tess AndersonDepartment of Information Technology, Marshall University Joan C Edwards School of Medicine, Huntington, WV, USA.
Borden SamplesMarshall Health Network, Huntington, WV, USA.
Jennifer SparksMarshall University School of Pharmacy, Huntington, WV, USA.ORCID https://orcid.org/0000-0001-7979-9633
Joseph E EvansDepartment of Pediatrics, Marshall University Joan C. Edwards School of Medicine, Huntington, WV, USA.
Bethany A WattlesIndependent Contractor, St. Louis, MO, USA.ORCID https://orcid.org/0000-0002-4114-8824
Michael J SmithDepartment of Pediatrics, Division of Pediatric Infectious Diseases, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0001-6947-099X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluated Medicaid claims (MC) data as a valid source for outpatient antimicrobial stewardship programs (ASPs) by comparing it to electronic medical record (EMR) data from a single academic center. Methods: This retrospective study compared pediatric patients' MC data with EMR data from the Marshall Health Network (MHN). Claims were matched to EMR records based on patient Medicaid ID, service date, and provider NPI number. Demographics, antibiotic choice, diagnosis appropriateness, and guideline concordance were assessed across both data sources. Setting: The study was conducted within the MHN, involving multiple pediatric and family medicine outpatient practices in West Virginia, USA. Patients: Pediatric patients receiving care within MHN with Medicaid coverage. Results: MC and EMR data showed >90% agreement in antibiotic choice, gender, and date of service. Discrepancies were observed in diagnoses, especially for visits with multiple infectious diagnoses. MC data demonstrated similar accuracy to EMR data in identifying inappropriate prescriptions and assessing guideline concordance. Additionally, MC data provided timely information, enhancing the feasibility of impactful outpatient ASP interventions. Conclusion: MC data is a valid and timely resource for outpatient ASP interventions. Insurance providers should be leveraged as key partners to support large-scale outpatient stewardship efforts.

Identifiers

PMID40612461
PMCPMC12224133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.