Evidence map›Paper›PMID 37799368›Full record

ArticleSkin health and disease2023

Development of a digital tool for home-based monitoring of skin disease for older adults.

Sven van Egmond, Zhuo R Cai, Vanessa Nava, Isabella Joy de Vere Hunt, Bailie R Rapaport, Justin Ko, Albert S Chiou, Kavita Sarin, Jean Tang, Lucy Zhang and 1 more

Abstract read
In one paragraph

Article in Skin health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

11 authors.

Sven van EgmondProgram for Clinical Research and Technology Stanford University Stanford California USA.ORCID https://orcid.org/0000-0002-1323-4928
Zhuo R CaiProgram for Clinical Research and Technology Stanford University Stanford California USA.ORCID https://orcid.org/0000-0002-5611-2293
Vanessa NavaProgram for Clinical Research and Technology Stanford University Stanford California USA.ORCID https://orcid.org/0000-0002-5267-8396
Isabella Joy de Vere HuntProgram for Clinical Research and Technology Stanford University Stanford California USA.ORCID https://orcid.org/0000-0002-4238-0924
Bailie R RapaportProgram for Clinical Research and Technology Stanford University Stanford California USA.
Justin KoDepartment of Dermatology Stanford University School of Medicine Redwood City California USA.
Albert S ChiouDepartment of Dermatology Stanford University School of Medicine Redwood City California USA.ORCID https://orcid.org/0000-0002-8436-0008
Kavita SarinDepartment of Dermatology Stanford University School of Medicine Redwood City California USA.ORCID https://orcid.org/0000-0001-5363-3053
Jean TangDepartment of Dermatology Stanford University School of Medicine Redwood City California USA.
Lucy ZhangProgram for Clinical Research and Technology Stanford University Stanford California USA.
Eleni LinosProgram for Clinical Research and Technology Stanford University Stanford California USA.ORCID https://orcid.org/0000-0003-2538-0700

Funding

Patient Oriented Research in Vulnerable Populations with Skin DiseaseK24AR075060 · NIAMS · STANFORD UNIVERSITY · PI Eleni Linos · 2019 to 2026
$1.6M
NIAMS NIH HHS K24 AR075060
6 · The paper itself

Abstract

We developed a digital tool for home-based monitoring of skin disease, our digital tool. In the current observational pilot study, we found that DORA is feasible to use in practice, as it has a high patient compliance, retention and satisfaction. Clinicans rated the photos generally good quality or perfect quality. These results show that the digital health tool DORA can easily be used by patients to send photos to their dermatologist, which could reduce unnecessary clinical visits. It may also be used in other settings where digital literacy barriers and unequal access to dermatologists contribute to healthcare disparities.

Identifiers

PMID37799368
PMCPMC10549824

What OpenQuestion holds

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LicenceCC BY
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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.