Evidence map›Paper›PMID 42624532›Full record

ArticleBMJ open quality2026

Improving diabetic kidney disease screening in a VA resident primary care clinic: a quality improvement initiative.

Kathie Zhang, Benjamin Reed Griffin, Jonathan B Chapman, Matthew D Soltys

Abstract read
In one paragraph

Article in BMJ open quality, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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

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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

4 authors.

Kathie ZhangDepartment of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA KATHIE.ZHANG@CUANSCHUTZ.EDU.ORCID http://orcid.org/0000-0002-2929-9996
Benjamin Reed GriffinDepartment of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.ORCID http://orcid.org/0000-0001-8599-5462
Jonathan B ChapmanIowa City VA Healthcare System, Iowa City, Iowa, USA.
Matthew D SoltysDepartment of Internal Medicine, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnual screening for diabetic kidney disease (DKD) with serum creatinine and albuminuria is recommended by multiple clinical guidelines but screening rates remain low nationwide (<50%). The Veterans Health Administration has implemented quality improvement (QI) interventions that resulted in a significantly higher national DKD screening rate of 63%. However, the rate in the resident primary care clinic at the Iowa City Veterans Affairs (ICVA) was only 41%, suggesting that these interventions may not be as effective in resident clinics. Residents have unique schedules and time demands, thus QI initiatives targeting this transient physician population need to be appropriately tailored.

methodsAn interprofessional working group aimed to increase the screening rate for DKD in the resident clinic from 41% to 65% over 8 months using Lean methodology. This non-randomised, prospective QI project was conducted at the resident primary care clinic at the ICVA, which serves approximately 3000 Veterans (including 750 with diabetes). Two sequential interventions were implemented: (1) a national electronic health record reminder and (2) a tailored, resident-specific, multifaceted approach involving incentives, gamification, workflow improvements, audit and feedback, and benchmarking. The primary outcome was monthly percentage of Veterans with both a urine albumin-to-creatinine ratio and serum creatinine tested in the past year. The process measure was weekly percentage of eligible Veterans tested for albuminuria within 1 day before or 7 days after a primary care appointment.

resultsThe percentage of compliant Veterans in the resident primary care clinic increased from 41% (239/590) in June 2023 to 66% (395/603) by March 2024. Weekly screening rates of eligible Veterans rose from 16% to 48%. The biggest improvement was seen after the resident-specific interventions.

conclusionsThis project demonstrates the need for and effectiveness of tailored, resident-specific implementation strategies to achieve QI aims among these physicians.

Indexed as

Diabetic NephropathiesMass ScreeningCreatinineHumansInternship and ResidencyIowaPrimary Health CareProspective StudiesQuality ImprovementUnited StatesUnited States Department of Veterans AffairsCreatinineHealth professions educationMedical educationPatient educationQuality improvementReminders

Identifiers

PMID42624532
PMCPMC13504837

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.