Evidence map›Paper›PMID 40832009›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2025

Handoff Delays in Teledermatology Lengthen Timeline of Care for Veterans With Melanoma.

Samuel Byrne, Clayton Lau, Maya Gopalan, Sandra Mata-Diaz, Gregory J Raugi

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2025. 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
–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

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

5 authors.

Samuel ByrneUniversity of Washington School of Public Health, Seattle.
Clayton LauUniversity of Washington School of Public Health, Seattle.
Maya GopalanUniversity of Washington School of Public Health, Seattle.
Sandra Mata-DiazUniversity of Washington School of Public Health, Seattle.
Gregory J RaugiVeterans Affairs Puget Sound Health Care System, Seattle, Washington.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Store-and-forward teledermatology (SFT) involves sending clinical images and patient information to a dermatologist for evaluation and is widely used in US Department of Veterans Affairs (VA) Veterans Integrated Service Network 20. While SFT has increased access to dermatologic care, its impact on timely treatment is less well known. This study compares the timeline of care for melanoma treatment between SFT and face-to-face (FTF) dermatologic care and identifies potential areas for SFT improvement. Methods: This study at the VA Puget Sound Health Care System included 107 patients in the FTF group and 87 patients in the SFT group. Electronic health record data were reviewed and key dates were extracted for patients in each group, including entry into episode of care (EEC), biopsy, and definitive excision. Median and mean intervals were compared between groups. To further analyze the groups, the FTF group was subdivided into where melanomas were entered into care, either at a dermatology clinic (FTF dermatology) or a primary care/nondermatology setting (FTF primary care). Results: The median intervals from EEC to definitive excision for patients in the FTF and SFT groups were 58 and 73 days ( Conclusions: The fastest timeline of care for primary cutaneous melanoma is obtained when FTF dermatology is the EEC. The SFT timeline is significantly longer than that of FTF. Facilitating handoffs in SFT presents an opportunity for process improvement. The SFT timeline could be improved if the EEC, imaging, and SFT consultation requests all occurred on the same day.

Identifiers

PMID40832009
PMCPMC12360798

What OpenQuestion holds

Textmetadata
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.