Evidence map›Paper›PMID 33663260›Full record

ArticleJournal of telemedicine and telecare2023

Telehealth utilization among multi-ethnic patients with obesity during the COVID-19 pandemic.

Jaime P Almandoz, Luyu Xie, Jeffrey N Schellinger, M Sunil Mathew, Khary Edwards, Ashley Ofori, Sachin Kukreja, Benjamin Schneider, Sarah E Messiah

Open access · greenAbstract read
In one paragraph

Article in Journal of telemedicine and telecare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 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

9 authors at 2 institutions in 1 country.

Jaime P AlmandozDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, USA.
Luyu XieUniversity of Texas Health Science Center, School of Public Health, Dallas Campus, Dallas, TX, USA.ORCID 0000-0003-4499-0555
Jeffrey N SchellingerDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, USA.
M Sunil MathewUniversity of Texas Health Science Center, School of Public Health, Dallas Campus, Dallas, TX, USA.ORCID 0000-0002-7529-2832
Khary EdwardsDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, USA.
Ashley OforiUniversity of Texas Health Science Center, School of Public Health, Dallas Campus, Dallas, TX, USA.
Sachin KukrejaMinimally Invasive Surgical Associates, Dallas, USA.
Benjamin SchneiderDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, USA.
Sarah E MessiahUniversity of Texas Health Science Center, School of Public Health, Dallas Campus, Dallas, TX, USA.
The University of Texas Southwestern Medical Center · USUniversity of Texas Health Science Center at Dallas · US

Funding

Socioecological Factors Associated with Ethnic Disparities in Bariatric Surgery Utilization - Diversity Supplement R01MD011686R01MD011686 · NIMHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MESSIAH, SARAH ELIZABETH · 2018 to 2023
$3.6M
NIMHD NIH HHS R01 MD011686
6 · The paper itself

Abstract

introductionThe science of telemedicine has shown great advances over the past decade. However, the field needs to better understand if a change in care delivery from in-person to telehealth as a result of the COVID-19 pandemic will yield durable patient engagement and health outcomes for patients with obesity. The objective of this study was to examine the association of mode of healthcare utilization (telehealth versus in-person) and sociodemographic factors among patients with obesity during the COVID-19 pandemic.

methodsA retrospective medical chart review identified patients with obesity from a university outpatient obesity medicine clinic and a community bariatric surgery practice. Patients completed an online survey (1 June 2020-24 September 2020) to assess changes in healthcare utilization modality during subsequent changes in infection rates in the geographic area. Logistic regression analysis examined the association of mode of healthcare utilization and key sociodemographic characteristics.

resultsA total of 583 patients (87% female, mean age 51.2 years (standard deviation 13.0), mean body mass index 40.2 (standard deviation 6.7), 49.2% non-Hispanic white, 28.7% non-Hispanic black, 16.4% Hispanic, 7% other ethnicity, 33.1% completed bariatric surgery) were included. Adjusted logistic regression models showed older age was inversely associated with telehealth use (adjusted odds ratio = 0.58, 95% confidence interval 0.34-0.98) and non-Hispanic black were more likely to use telehealth compared to non-Hispanic white (adjusted odds ratio = 1.72, 95% confidence interval 1.05-2.81).

conclusionsThe COVID-19 pandemic is impacting access to healthcare among patients with obesity. Telehealth is an emerging modality that can maintain healthcare access during the pandemic, but utilization varies by age and ethnicity in this high-risk population.

Indexed as

COVID-19TelemedicineFemaleHumansMaleMiddle AgedObesityPandemicsRetrospective StudiesCOVID-19ethnicityObesitytelehealthutilization

Identifiers

PMID33663260
PMCPMC12397489
OpenAlexW3133492062

What OpenQuestion holds

Textmetadata
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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.