Evidence map›Paper›PMID 37744686›Full record

ArticleFrontiers in digital health2023

Development of SkinTracker, an integrated dermatology mobile app and web portal enabling remote clinical research studies.

Joy Q Jin, Julie Hong, Kareem G Elhage, Mitchell Braun, Riley K Spencer, Mimi Chung, Samuel Yeroushalmi, Edward Hadeler, Megan Mosca, Erin Bartholomew and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in digital health, 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. Article
  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

20 authors.

Joy Q JinSchool of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Julie HongDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Kareem G ElhageDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Mitchell BraunDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Riley K SpencerDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Mimi ChungDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Samuel YeroushalmiDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Edward HadelerDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Megan MoscaDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Erin BartholomewDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Marwa HakimiDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Mitchell S DavisDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Quinn ThibodeauxDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
David WuSchool of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Abhilash KahlonRedBlink Inc., Danville, CA, United States.
Paul DhaliwalRedBlink Inc., Danville, CA, United States.
Erin F MathesDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Navdeep DhaliwalRedBlink Inc., Danville, CA, United States.
Tina BhutaniDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Wilson LiaoDepartment of Dermatology, University of California, San Francisco, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In-person dermatology clinical research studies often face recruitment and participation challenges due to travel-, time-, and cost-associated barriers. Studies incorporating virtual/asynchronous formats can potentially enhance research subject participation and satisfaction, but few mobile health tools are available to enable remote study conduct. We developed SkinTracker, a patient-facing mobile app and researcher-facing web platform, that enables longitudinal collection of skin photos, patient reported outcomes, and biometric health and environmental data. Methods: Eight design thinking sessions including dermatologists, clinical research staff, software engineers, and graphic designers were held to create the components of SkinTracker. Following iterative prototyping, SkinTracker was piloted across six adult and four pediatric subjects with atopic dermatitis (AD) of varying severity levels to test and provide feedback on SkinTracker for six months. Results: The SkinTracker app enables collection of informed consent for study participation, baseline medical history, standardized skin photographs, patient-reported outcomes (e.g., Patient Oriented Eczema Measure (POEM), Pruritus Numerical Rating Scale (NRS), Dermatology Life Quality Index (DLQI)), medication use, adverse events, voice diary to document qualitative experiences, chat function for communication with research team, environmental and biometric data such as exercise and sleep metrics through integration with an Apple Watch. The researcher web portal allows for management and visualization of subject enrollment, skin photographs for examination and severity scoring, survey completion, and other patient modules. The pilot study requested that subjects complete surveys and photographs on a weekly to monthly basis via the SkinTracker app. Afterwards, participants rated their experience in a 7-item user experience survey covering app function, design, and desire for participation in future studies using SkinTracker. Almost all subjects agreed or strongly agreed that SkinTracker enabled more convenient participation in skin research studies compared to an in-person format. Discussion: To our knowledge, SkinTracker is one of the first integrated app- and web-based platforms allowing collection and management of data commonly obtained in clinical research studies. SkinTracker enables detailed, frequent capture of data that may better reflect the fluctuating course of conditions such as AD, and can be modularly customized for different skin conditions to improve dermatologic research participation and patient access.

Indexed as

atopic dermatitisbiometric data acquisitionclinical research studyeczemainflammatory skin diseasemobile applicationremote clinical researchsmartwatch

Identifiers

PMID37744686
PMCPMC10516539

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.