Teledermatology: Kids are not just little people
Abstract
Teledermatology has emerged as a promising solution for pediatric and adult patients accessing dermatologic care in a health care environment fraught with barriers to access. Teledermatology has been extensively evaluated in terms of diagnostic accuracy, clinical outcomes, patient and provider satisfaction, and costs, relative to traditional health care delivery models. Current research indicates that teledermatology is effective and efficient in diagnosis and management of skin diseases. The majority of studies on the subject, however, rely on adult patient data. Pediatric patients, with their unique clinical features and challenges, may interact with telemedicine differently than their adult counterparts. Maximizing the benefits of teledermatology in pediatric dermatologic care is dependent on future research. We review and analyze the commonalities and differences between pediatric and adult patient care using teledermatology.
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Caregivers tend to be more deeply involved in the care of the pediatric patient compared to more self-directed adult patient care.
“As compared to more self-directed adult patient care, caregivers tend to be more deeply involved in the care of the pediatric patient, with Naka et al [1] having suggested that adopting a family-oriented approach to care and communication is essential.”
From A Glance at the Practice of Pediatric Teledermatology Pre- and Post–COVID-19: Narrative Review (2022) · cites this paper as [1]
The limitations and difficulties intrinsic to pediatric teleconsultation may be compounded by obstacles in obtaining details of the full pediatric medical history, which can be time-consuming.
“The limitations and difficulties intrinsic to pediatric teleconsultation may be compounded by obstacles in obtaining details of the full pediatric medical history (including details on prenatal, birth, and developmental history), which can be time-consuming [1].”
From A Glance at the Practice of Pediatric Teledermatology Pre- and Post–COVID-19: Narrative Review (2022) · cites this paper as [1]
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- Authors
- Naka, F., Makkar, H., & Lu, J.
- Affiliations
- UConn Health (US)
- Corresponding author
- Lu, Jun
- Venue
- Clinics in Dermatology
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 35
- Issue
- 6
- Pages
- 594-600
- ISSN
- 0738-081X (ISSN-L)
- OpenAlex
- W2744387998
- Cited by
- 29
- References
- 62
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 5 · 2017: 1
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinics in Dermatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Digital Imaging in Medicine
- Keywords
- teledermatology, pediatric dermatology, telemedicine, skin diseases, access to dermatologic care, diagnostic accuracy, patient satisfaction, provider satisfaction, cost
- MeSH terms
- Adolescent, Adult, Child, Child, Preschool, Cost-Benefit Analysis, Dermatology, Diagnostic Errors, Humans, Infant, Infant, Newborn, Insurance, Health, Reimbursement, Skin Diseases, Observer Variation, Liability, Legal, Patient Satisfaction, Telemedicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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