Evidence map›Paper›PMID 37632882›Full record

ArticleJMIR dermatology2022

Patient Factors Associated With Teledermatology Visit Type and Submission of Photographs During the COVID-19 Pandemic: Cross-sectional Analysis.

Jordan E Lamb, Robert Fitzsimmons, Anjana Sevagamoorthy, Carrie L Kovarik, Daniel B Shin, Junko Takeshita

Open access · diamondAbstract read
In one paragraph

Article in JMIR dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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 2 institutions in 1 country.

Jordan E LambUniversity of Pittsburgh School of Medicine, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-4211-0481
Robert FitzsimmonsDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0003-4905-6366
Anjana SevagamoorthyDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-9212-2501
Carrie L KovarikDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-3258-3605
Daniel B ShinDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-4974-2561
Junko TakeshitaDepartment of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-9650-9738
University of Pennsylvania · USUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic necessitated the widespread adoption of teledermatology, and this continues to account for a significant proportion of dermatology visits after clinics have reopened for in-person care. Delivery of high-quality teledermatology care requires adequate visualization of the patient's skin, with photographs being preferred over live video for remote skin examination. It remains unknown which patients face the greatest barriers to participating in a teledermatology visit with photographs.

objectiveThe aim of this study was to identify patient characteristics associated with type of telemedicine visit and the factors associated with participating in teledermatology visits with digital photographs versus those without photographs.

methodsWe performed a cross-sectional analysis of the University of Pennsylvania Health System electronic health record data for adult patients who participated in at least 1 teledermatology appointment between March 1, 2020, and June 30, 2020. The primary outcomes were participation in a live-interactive video visit versus a telephone visit and participation in any teledermatology visit with photographs versus one without photographs. Multivariable logistic regression was performed to evaluate the associations between patient characteristics and the primary outcomes.

resultsIn total, 5717 unique patients completed at least 1 teledermatology visit during the study period; 68.25% (n=3902) of patients participated in a video visit, and 31.75% (n=1815) participated in a telephone visit. A minority of patients (n=1815, 31.75%) submitted photographs for their video or telephone appointment. Patients who submitted photographs for their teledermatology visit were more likely to be White, have commercial insurance, and live in areas with higher income, better education, and greater access to a computer and high-speed internet (P<.001 for all). In adjusted analysis, older age (age group >75 years: odds ratio [OR] 0.60, 95% CI 0.44-0.82), male sex (OR 0.85, 95% CI 0.75-0.97), Black race (OR 0.79, 95% CI 0.65-0.96), and Medicaid insurance (OR 0.81, 95% CI 0.66-0.99) were each associated with lower odds of a patient submitting photographs for their video or telephone visit. Older age (age group >75 years: OR 0.37, 95% CI 0.27-0.50) and Black race (OR 0.82, 95% CI 0.68-0.98) were also associated with lower odds of a patient participating in a video visit versus telephone visit.

conclusionsPatients who were older, male, or Black, or who had Medicaid insurance were less likely to participate in teledermatology visits with photographs and may be particularly vulnerable to disparities in teledermatology care. Further research is necessary to identify the barriers to patients providing photographs for remote dermatology visits and to develop targeted interventions to facilitate equitable participation in teledermatology care.

Indexed as

COVID-19 pandemicdermatologyhealthcare disparitiesphotographsskin examinationteledermatologytelemedicinevirtual

Identifiers

PMID37632882
PMCPMC11340776
OpenAlexW4308506950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.