Evidence map›Paper›PMID 36752961›Full record

ArticleDermatology and therapy2023

Teledermatology May Benefit Marginalized Populations: National and Institutional Trends during the COVID-19 Pandemic.

Akash D Patel, Chandler W Rundle, Beiyu Liu, Cynthia L Green, Christian L Bailey-Burke, Meenal Kheterpal

Open access · goldAbstract read
In one paragraph

Article in Dermatology and therapy, 2023. 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
1.2field-weighted citation impact, top 19% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Akash D PatelDuke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0001-9397-9630
Chandler W RundleDepartment of Dermatology, Duke University School of Medicine, 40 Duke Medicine Circle, Durham, NC, 27710, USA.ORCID http://orcid.org/0000-0002-7624-8147
Beiyu LiuDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0003-1455-0233
Cynthia L GreenDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-0186-5191
Christian L Bailey-BurkeDuke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-3988-9519
Meenal KheterpalDepartment of Dermatology, Duke University School of Medicine, 40 Duke Medicine Circle, Durham, NC, 27710, USA. meenal.kheterpal@duke.edu.ORCID http://orcid.org/0000-0002-0460-6400
Duke University · US

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

introductionLimited data exist regarding demographic-specific teledermatology (TD) utilization during the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to determine TD utilization trends during the pandemic.

methodsA retrospective cohort study for national and institutional populations was conducted. Patient encounters in the American Academy of Dermatology's DataDerm registry (DataDerm) were analyzed from 1 April 2020 through 30 June 2021. All dermatological patients seen by Duke University Health Systems (DUHS) were analyzed from 1 March 2020 through 30 April 2021. In-person clinic visits versus TD encounters (national and institutional) and no-show rates (institutional only) were collected for visit type (i.e., TD versus in-person), sex, race, age/generation, and in- versus out-of-state location (national only). TD utilization is defined as the cohort of interest using TD (e.g., females, whites) within a demographic group (i.e., sex, race) as a percentage of total TD users. This was compared with in-person utilization during the identical timeframe.

resultsFor US national data, 13,964,816 encounters were analyzed. Sex, race, age, and location each had a significant association with TD utilization (adjusted p < 0.001). For institutional data, 54,400 encounters were analyzed. Sex, race, and age had a significant association with TD utilization (adjusted p < 0.001). Both datasets revealed majority female populations for telehealth visits (DataDerm 66.0%; DUHS 61.7%). Non-white populations accounted for a higher percentage of TD utilizers (DataDerm 15.0%; DUHS 37.3%) when compared with in-person utilizers (DataDerm 11.7%; DUHS 22.3%). Younger patients utilized TD (DataDerm 63.6%; DUHS 62.6%) more than in-person services (DataDerm 26.3%; DUHS 43.8%). Institutional no-show rates between telehealth and in-person visits were lower for Black patients (11.8% versus 19.2%), other non-white races (10.6% versus 13.6%), and younger ages/generations (9.8% versus 12.8%), respectively. TD utilization decreased over time nationally as a percentage of total visits (2.9% versus 0.3%) in 2020 versus 2021, respectively. CONCLUSIONS AND RELEVANCE: During the COVID-19 pandemic, certain populations (females, younger patients, non-white races) showed higher TD utilization. Understanding TD utilization trends is critical in defining the role of virtual care for improving universal care access, optimizing resources, and informing future healthcare models for all patient populations.

Indexed as

AccessibilityCOVID-19Healthcare deliveryPopulation demographicsTeledermatology (TD)

Identifiers

PMID36752961
PMCPMC9906596
OpenAlexW4319460700

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.