Evidence map›Paper›PMID 35101868›Full record

ArticleBMJ open quality2022

Improving annual albuminuria testing for individuals with diabetes.

Sharon Kam, Santiago Angaramo, Jacqueline Antoun, Manasa R Bhatta, Pauleatha Diggs Bonds, Adrian G Cadar, Valentine U Chukwuma, Patrick J Donegan, Zachary Feldman, Alan Z Grusky and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Albuminuria: An Underappreciated Risk Factor for Cardiovascular Disease.Journal of the American Heart Association · 2024
    Review
  8. 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

19 authors at 1 institution in 2 countries.

Sharon KamVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Santiago AngaramoVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jacqueline AntounVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Manasa R BhattaVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Pauleatha Diggs BondsVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Adrian G CadarVanderbilt University School of Medicine, Nashville, Tennessee, USA.ORCID 0000-0002-1221-0764
Valentine U ChukwumaVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Patrick J DoneganVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Zachary FeldmanVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Alan Z GruskyVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Veerain K GuptaVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jeremy B HatcherVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Jaclyn LeeVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Natalia G MoralesVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Erin N VranaVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Bronson C WessingerVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Michael Z ZhangVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Michael J FowlerVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Chase D HendricksonVanderbilt University School of Medicine, Nashville, Tennessee, USA chase.d.hendrickson@vanderbilt.edu.
Vanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnual albuminuria screening detects the early stages of nephropathy in individuals with diabetes. Because early detection of albuminuria allows for interventions that lower the risk of developing chronic kidney disease, guidelines recommend annual testing for all individuals with type 2 diabetes mellitus and for those with type 1 diabetes for at least 5 years. However, at the Eskind Diabetes Clinic at the Vanderbilt University Medical Center, testing occurred less frequently than desired.

methodsA quality improvement team first analysed the clinic's processes, identifying the lack of a systematic approach to testing as the likely cause for the low rate. The team then implemented two successive interventions in a pilot of patients seen by nurse practitioners in the clinic. In the first intervention, staff used a dashboard within the electronic health record while triaging each patient, pending an albuminuria order if testing had not been done within the past year. In the second intervention, clinic leadership sent daily reminders to the triage staff. A statistical process control chart tracked monthly testing rates.

resultsAfter 6 months, annual albuminuria testing increased from a baseline of 69% to 82%, with multiple special-cause signals in the control chart.

conclusionsThis project demonstrates that a series of simple interventions can significantly impact annual albuminuria testing. This project's success likely hinged on using an existing workflow to systematically determine if a patient was due for testing and prompting the provider to sign a pended order for an albuminuria test. Other diabetes/endocrinology and primary care clinics can likely implement a similar process and so improve testing rates in other settings. When coupled with appropriate interventions to reduce the development of chronic kidney disease, such interventions would improve patient outcomes, in addition to better adhering to an established quality metric.

Indexed as

Diabetes Mellitus, Type 2Renal Insufficiency, ChronicAlbuminuriaAmbulatory Care FacilitiesElectronic Health RecordsFemaleHumansMalediabetes mellitusquality improvementquality measurement

Identifiers

PMID35101868
PMCPMC8804706
OpenAlexW4210385494

What OpenQuestion holds

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LicenceCC BY-NC
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.