Evidence map›Paper›PMID 32139383›Full record

ArticleDiabetes care2020

Multilevel Variation in Diabetes Screening Within an Integrated Health System.

Udoka Obinwa, Adriana Pérez, Ildiko Lingvay, Luigi Meneghini, Ethan A Halm, Michael E Bowen

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Improving Diabetes Screening in the Primary Care Clinic.Joint Commission journal on quality and patient safety · 2023
    Article
  6. Observational
  7. Review
  8. Alternative type 2 diabetes screening tests may reduce the number of U.S. adults with undiagnosed diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2020
    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

6 authors at 3 institutions in 1 country.

Udoka ObinwaSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX.
Adriana PérezSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX.
Ildiko LingvayDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-7006-7401
Luigi MeneghiniDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0003-4539-2725
Ethan A HalmDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Michael E BowenDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX michael.bowen@utsouthwestern.edu.ORCID 0000-0003-4089-1584
The University of Texas Southwestern Medical Center · USThe University of Texas Health Science Center at Houston · USParkland Health & Hospital System · US

Funding

UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
Predicting Diabetes Risk Using Glucose DataK23DK104065 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI BOWEN, MICHAEL EDWARD · 2014 to 2018
$862k
AHRQ HHS R24 HS022418NIDDK NIH HHS K23 DK104065
6 · The paper itself

Abstract

objectiveVariation in diabetes screening in clinical practice is poorly described. We examined the interplay of patient, provider, and clinic factors explaining variation in diabetes screening within an integrated health care system in the U.S. RESEARCH DESIGN AND

methodsWe conducted a retrospective cohort study of primary care patients aged 18-64 years with two or more outpatient visits between 2010 and 2015 and no diagnosis of diabetes according to electronic health record (EHR) data. Hierarchical three-level models were used to evaluate multilevel variation in screening at the patient, provider, and clinic levels across 12 clinics. Diabetes screening was defined by a resulted gold standard screening test.

resultsOf 56,818 patients, 70% completed diabetes screening with a nearly twofold variation across clinics (51-92%;

conclusionsScreening practices vary widely and are only partially explained by patient, provider, and clinic factors available in the EHR. Clinical decision support and system-level interventions are needed to optimize screening practices.

Indexed as

Practice Patterns, Physicians'AdolescentAdultCohort StudiesDelivery of Health Care, IntegratedDiabetes MellitusFemaleGuideline AdherenceHumansMaleMass ScreeningMiddle AgedPrediabetic StatePreventive Health ServicesPrimary Health CareRetrospective Studies

Identifiers

PMID32139383
PMCPMC7171943
OpenAlexW3010325170

What OpenQuestion holds

Textmetadata
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.