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Clinical Profile and Diagnostic Accuracy of Patient-submitted Photographs in Teledermatology
Ankita Tuknayat1, Mala Bhalla1, Kanika Dogar1
1All authors are with the Department of Dermatology at the Government Medical College and Hospital in Chandigar, India.
Background:
The COVID-19 pandemic has shifted healthcare from physical in-person patient visits to teleconsultations in order to curtail the spread of this virus. Dermatology, being a visual science, lends itself amenably to teleconsultation.
Objective:
This study was performed to assess the basic dermatological diseases which are more easily diagnosable and managed through teleconsultation, distinguishing them from diseases for which a face-to-face consultation may be a better option and to delineate the factors affecting the image quality which is the cornerstone of a teledermatology consultation.
Methods:
A retrospective observational study was conducted over a three-month period during the pandemic. Store and forward, video conferencing, and hybrid consultations were included. Two dermatologists of different clinical experience independently assessed the clinical photographs of the patients and gave each photograph an objective score (Physician Quality Rating Scale) and a diagnosis. The diagnostic concordance between the two dermatologists as well as the correlation of this score with the certainty of diagnosis was calculated.
Results:
A total of 651 patients completed the study. Mean PQRS score of Dermatologist 1 was 6.22 while the mean score of Dermatologist 2 was 6.24. Patients in whom both the dermatologists were absolutely certain about their diagnosis had a higher PQRS score and interestingly had a higher education level than the rest. There was 97.7 percent diagnostic concordance between the two dermatologists. Infections, acne, follicular disorders, pigmentary disorders, tumors, and STDs had the largest proportion of cases wherein both the dermatologists were in total agreement with each other.
Conclusion:
Teledermatology might be best for the care of patients with characteristic clinical presentation or for follow-up of already diagnosed patients. It can be used in the post-COVID era to triage patients requiring emergency care and reduce patient wait times.
