Evidence map›Paper›PMID 34933871›Full record

ArticleBMJ open diabetes research & care2021

Patient-specific factors associated with use of diabetes self-management education and support programs in Louisiana.

Yilin Yoshida, Dongzhe Hong, Elizabeth Nauman, Eboni G Price-Haywood, Alessandra N Bazzano, Charles Stoecker, Gang Hu, Yun Shen, Peter T Katzmarzyk, Vivian A Fonseca and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

Yilin YoshidaSection of Endocrinology and Metabolism, Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA yyoshida1@tulane.edu.
Dongzhe HongDepartment of Global Health Management and Policy, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Elizabeth NaumanLouisiana Public Health Institute, New Orleans, Louisiana, USA.
Eboni G Price-HaywoodOchsner Center for Outcomes and Health Services Research, Ochsner Health System, New Orleans, Louisiana, USA.
Alessandra N BazzanoDepartment of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Charles StoeckerDepartment of Global Health Management and Policy, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Gang HuChronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.ORCID 0000-0002-6172-8017
Yun ShenChronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Peter T KatzmarzykPhysical Activity and Obesity Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Vivian A FonsecaSection of Endocrinology and Metabolism, Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA.
Lizheng ShiDepartment of Global Health Management and Policy, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA.
Tulane University · USPennington Biomedical Research Center · USLouisiana Public Health Institute · USOchsner Health System · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Tulane Building Interdisciplinary Research Careers in Women's Health (BIRCWH)K12HD043451 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI KROUSEL-WOOD, MARIE · 2002 to 2023
$9.9M
Louisiana Experiment to Address Diabetes: Zero-Dollar Copayment (LEAD-ZDC) for Improving Disease ManagementU18DP006523 · DP · TULANE UNIVERSITY OF LOUISIANA · PI SHI, LIZHENG · 2020 to 2024
$2.3M
ACL HHS U18DP006523NCCDPHP CDC HHS U18 DP006523NICHD NIH HHS K12 HD043451NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

introductionThe prevalence of diabetes self-management education and support (DSME/S) use among patients with newly diagnosed type 2 diabetes mellitus (T2DM) and patients with insulin prescription has not been evaluated. It is also unclear what demographic, behavioral, and clinical factors associated with use of DSME/S. RESEARCH DESIGN AND

methodsThis retrospective analysis was based on electronic health records from the Research Action for Health Network (2013-2019). Patients with newly diagnosed T2DM were identified as 35-94 year-olds diagnosed with T2DM≥1 year after the first recorded office visit. Patients with insulin were identified by the first insulin prescription records. DSME/S (Healthcare Common Procedure Coding System G0108 and G0109) codes that occurred from 2 months before the 'new diagnosis date' or first insulin prescription date through 1 year after were defined as use of DSME/S. Age-matched controls (non-users) were identified from the Electronic Health Records (EHR). The date of first DSME/S record was selected as the index date. Logistic regression was used to estimate the associations between patient factors and use of DSME/S.

resultsThe prevalence of DSME/S use was 6.5% (8909/137 629) among patients with newly diagnosed T2DM and 32.7% (13,152/40,212) among patients with diabetes taking insulin. Multivariable analysis found that among patients with newly diagnosed T2DM, black and male patients were less likely to use DSME/S, while in patients with insulin, they were more likely to use the service compared with white and female counterparts, respectively. Among patients taking insulin, those with private insurance or self-pay status were significantly less likely, while those with Medicaid were more likely to use the service compared with their Medicare counterparts. A strong positive association was found between HbA1c, obesity, and DSME/S use in both cohorts, while hypertension was negatively associated with DSME/S in both cohorts.

conclusionWe showed a low rate of DSME/S use in Louisiana, especially in patients with newly diagnosed T2DM. Our findings demonstrated heterogeneity in factors influencing DSME/S use between patients with newly diagnosed T2D and patients with insulin.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementAgedFemaleHumansMaleMedicareRetrospective StudiesSelf CareUnited Statesdiabetes mellitusdisease managementtype 2

Identifiers

PMID34933871
PMCPMC8679102
OpenAlexW4200280327

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.