Evidence map›Paper›PMID 36647113›Full record

ArticleBMC health services research2023

Disparities in routine healthcare utilization disruptions during COVID-19 pandemic among veterans with type 2 diabetes.

Samrachana Adhikari, Andrea R Titus, Aaron Baum, Priscilla Lopez, Rania Kanchi, Stephanie L Orstad, Brian Elbel, David C Lee, Lorna E Thorpe, Mark D Schwartz

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

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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

10 authors.

Samrachana AdhikariDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA. samrachana.adhikari@nyulangone.org.ORCID http://orcid.org/0000-0001-9954-5999
Andrea R TitusDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
Aaron BaumDepartment of Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Priscilla LopezDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
Rania KanchiDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
Stephanie L OrstadDepartment of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Brian ElbelDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
David C LeeDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
Lorna E ThorpeDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
Mark D SchwartzDepartment of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.

Funding

Component A: Impact of Community Factors on Geographic Disparities in Diabetes and Obesity NationwideU01DP006299 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA · 2017 to 2021
$4.1M
The Impact of the Food Environment and Other Environmental Exposures on the Risk of Diabetes in Rural SettingsR01DK124400 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LEE, DAVID C · 2020 to 2024
$3.5M
CDC HHS 5 U01DP006299-02-00NCCDPHP CDC HHS U01 DP006299NIDDK NIH HHS R01 DK124400NIDDK NIH HHS R01DK124400
6 · The paper itself

Abstract

backgroundWhile emerging studies suggest that the COVID-19 pandemic caused disruptions in routine healthcare utilization, the full impact of the pandemic on healthcare utilization among diverse group of patients with type 2 diabetes is unclear. The purpose of this study is to examine trends in healthcare utilization, including in-person and telehealth visits, among U.S. veterans with type 2 diabetes before, during and after the onset of the COVID-19 pandemic, by demographics, pre-pandemic glycemic control, and geographic region.

methodsWe longitudinally examined healthcare utilization in a large national cohort of veterans with new diabetes diagnoses between January 1, 2008 and December 31, 2018. The analytic sample was 733,006 veterans with recently-diagnosed diabetes, at least 1 encounter with veterans administration between March 2018-2020, and followed through March 2021. Monthly rates of glycohemoglobin (HbA1c) measurements, in-person and telehealth outpatient visits, and prescription fills for diabetes and hypertension medications were compared before and after March 2020 using interrupted time-series design. Log-linear regression model was used for statistical analysis. Secular trends were modeled with penalized cubic splines.

resultsIn the initial 3 months after the pandemic onset, we observed large reductions in monthly rates of HbA1c measurements, from 130 (95%CI,110-140) to 50 (95%CI,30-80) per 1000 veterans, and in-person outpatient visits, from 1830 (95%CI,1640-2040) to 810 (95%CI,710-930) per 1000 veterans. However, monthly rates of telehealth visits doubled between March 2020-2021 from 330 (95%CI,310-350) to 770 (95%CI,720-820) per 1000 veterans. This pattern of increases in telehealth utilization varied by community type, with lowest increase in rural areas, and by race/ethnicity, with highest increase among non-hispanic Black veterans. Combined in-person and telehealth outpatient visits rebounded to pre-pandemic levels after 3 months. Despite notable changes in HbA1c measurements and visits during that initial window, we observed no changes in prescription fills rates.

conclusionsHealthcare utilization among veterans with diabetes was substantially disrupted at the onset of the pandemic, but rebounded after 3 months. There was disparity in uptake of telehealth visits by geography and race/ethnicity.

Indexed as

COVID-19Diabetes Mellitus, Type 2Healthcare DisparitiesTelemedicineVeteransGlycated HemoglobinHumansPandemicsPatient Acceptance of Health CareGlycated HemoglobinCovid-19 pandemicHealth disparityTelehealth visitsType 2 diabetes careVeterans

Identifiers

PMID36647113
PMCPMC9842402

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LicenceCC BY
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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.