Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists.
<h4>Background</h4>Despite increasing practice of teledermatology in the U.S., teledermatology practice models and real-world challenges are rarely studied.<h4>Methods</h4>The primary objective was to examine teledermatology practice models and shared challenges among teleder...
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2011
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oai:doaj.org-article:0b4d4ba374984da280245d031cd9e58f2021-11-18T07:32:17ZPractice models and challenges in teledermatology: a study of collective experiences from teledermatologists.1932-620310.1371/journal.pone.0028687https://doaj.org/article/0b4d4ba374984da280245d031cd9e58f2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22194887/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Despite increasing practice of teledermatology in the U.S., teledermatology practice models and real-world challenges are rarely studied.<h4>Methods</h4>The primary objective was to examine teledermatology practice models and shared challenges among teledermatologists in California, focusing on practice operations, reimbursement considerations, barriers to sustainability, and incentives. We conducted in-depth interviews with teledermatologists that practiced store-and-forward or live-interactive teledermatology from January 1, 2007 through March 30, 2011 in California.<h4>Results</h4>Seventeen teledermatologists from academia, private practice, health maintenance organizations, and county settings participated in the study. Among them, 76% practiced store-and-forward only, 6% practiced live-interactive only, and 18% practiced both modalities. Only 29% received structured training in teledermatology. The average number of years practicing teledermatology was 4.29 years (SD±2.81). Approximately 47% of teledermatologists served at least one Federally Qualified Health Center. Over 75% of patients seen via teledermatology were at or below 200% federal poverty level and usually lived in rural regions without dermatologist access. Practice challenges were identified in the following areas. Teledermatologists faced delays in reimbursements and non-reimbursement of teledermatology services. The primary reason for operational inefficiency was poor image quality and/or inadequate history. Costly and inefficient software platforms and lack of communication with referring providers also presented barriers.<h4>Conclusion</h4>Teledermatology enables underserved populations to access specialty care. Improvements in reimbursement mechanisms, efficient technology platforms, communication with referring providers, and teledermatology training are necessary to support sustainable practices.April W ArmstrongMei W KwongLynda LedoThomas S NesbittSandra L ShewryPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 12, p e28687 (2011) |
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Medicine R Science Q April W Armstrong Mei W Kwong Lynda Ledo Thomas S Nesbitt Sandra L Shewry Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
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<h4>Background</h4>Despite increasing practice of teledermatology in the U.S., teledermatology practice models and real-world challenges are rarely studied.<h4>Methods</h4>The primary objective was to examine teledermatology practice models and shared challenges among teledermatologists in California, focusing on practice operations, reimbursement considerations, barriers to sustainability, and incentives. We conducted in-depth interviews with teledermatologists that practiced store-and-forward or live-interactive teledermatology from January 1, 2007 through March 30, 2011 in California.<h4>Results</h4>Seventeen teledermatologists from academia, private practice, health maintenance organizations, and county settings participated in the study. Among them, 76% practiced store-and-forward only, 6% practiced live-interactive only, and 18% practiced both modalities. Only 29% received structured training in teledermatology. The average number of years practicing teledermatology was 4.29 years (SD±2.81). Approximately 47% of teledermatologists served at least one Federally Qualified Health Center. Over 75% of patients seen via teledermatology were at or below 200% federal poverty level and usually lived in rural regions without dermatologist access. Practice challenges were identified in the following areas. Teledermatologists faced delays in reimbursements and non-reimbursement of teledermatology services. The primary reason for operational inefficiency was poor image quality and/or inadequate history. Costly and inefficient software platforms and lack of communication with referring providers also presented barriers.<h4>Conclusion</h4>Teledermatology enables underserved populations to access specialty care. Improvements in reimbursement mechanisms, efficient technology platforms, communication with referring providers, and teledermatology training are necessary to support sustainable practices. |
format |
article |
author |
April W Armstrong Mei W Kwong Lynda Ledo Thomas S Nesbitt Sandra L Shewry |
author_facet |
April W Armstrong Mei W Kwong Lynda Ledo Thomas S Nesbitt Sandra L Shewry |
author_sort |
April W Armstrong |
title |
Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
title_short |
Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
title_full |
Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
title_fullStr |
Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
title_full_unstemmed |
Practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
title_sort |
practice models and challenges in teledermatology: a study of collective experiences from teledermatologists. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2011 |
url |
https://doaj.org/article/0b4d4ba374984da280245d031cd9e58f |
work_keys_str_mv |
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