Evidence map›Paper›PMID 38773826›Full record

ArticleJournal of primary care & community health

Examining Health Inequities in A1C Control over Time across Individual, Geospatial, and Geopolitical Factors among Adults with Type 2 Diabetes: Analyses of a Sample from One Commercial Insurer in a Southern State.

Samuel D Towne, Marcia G Ory, Lixian Zhong, Matthew Lee Smith, Gang Han, Elena Andreyeva, Keri Carpenter, SangNam Ahn, Veronica Averhart Preston

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Samuel D TowneSchool of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA.ORCID 0000-0002-7310-5837
Marcia G OryDepartment of Environmental and Occupational Health, School of Public Health, Texas A&M University, College Station, TX, USA.
Lixian ZhongCollege of Pharmacy, Texas A&M University, College Station, TX, USA.
Matthew Lee SmithCenter for Community Health & Aging, Texas A&M University, College Station, TX, USA.
Gang HanDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX, USA.
Elena AndreyevaDepartment of Health Policy and Management, School of Public Health, Texas A&M University, College Station, TX, USA.
Keri CarpenterCenter for Community Health & Aging, Texas A&M University, College Station, TX, USA.
SangNam AhnCenter for Community Health & Aging, Texas A&M University, College Station, TX, USA.
Veronica Averhart PrestonEnterprise Data Science, Health Care Service Corporation, Richardson, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes impacts millions and poor maintenance of diabetes can lead to preventable complications, which is why achieving and maintaining target A1C levels is critical. Thus, we aimed to examine inequities in A1C over time, place, and individual characteristics, given known inequities across these indicators and the need to provide continued surveillance.

methodsSecondary de-identified data from medical claims from a single payer in Texas was merged with population health data. Generalized Estimating Equations were utilized to assess multiple years of data examining the likelihood of having non-target (>7% and ≥7%, two slightly different cut points based on different sources) and separately uncontrolled (>9%) A1C. Adults in Texas, with a Type 2 Diabetes (T2D) flag and with A1C reported in first quarter of the year using data from 2016 and 2019 were included in analyses.

resultsApproximately 50% had A1Cs within target ranges (<7% and ≤7%), with 50% considered having non-target (>7% and ≥7%) A1Cs; with 83% within the controlled ranges (≤9%) as compared to approximately 17% having uncontrolled (>9%) A1Cs. The likelihood of non-target A1C was higher among those individuals residing in rural (vs urban) areas (

conclusionsThis study can inform health care interactions in diabetes care settings and help health policy makers explore strategies to reduce health inequities among patients with diabetes. Key partners should consider interventions to aid those enrolled in ACA plans, those in rural and border areas, and who may have coexisting health inequities.

Indexed as

Diabetes Mellitus, Type 2Glycated HemoglobinAdultAgedFemaleHealthcare DisparitiesHealth InequitiesHumansMaleMiddle AgedTexasGlycated Hemoglobinborder healthdiabeteshealth disparityHealth inequityrural healthsocial and structural determinants of health inequities

Identifiers

PMID38773826
PMCPMC11113025

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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.