Use of teledermatology by dermatology hospitalists is effective in the diagnosis and management of inpatient disease
Patient outcomes are improved when dermatologists provide inpatient consultations. Inpatient access to dermatologists is limited, illustrating an opportunity to use teledermatology. Little is known about the ability of dermatologists to accurately diagnose disease and manage inpatients with telederm...
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creator | Gabel, Colleen K. Nguyen, Emily Karmouta, Ryan Liu, Kristina J. Zhou, Guohai Alloo, Allireza Arakaki, Ryan Balagula, Yevgeniy Bridges, Alina G. Cowen, Edward W. Davis, Mark Denis P. Femia, Alisa Harp, Joanna Kaffenberger, Benjamin Keller, Jesse J. Kwong, Bernice Y. Markova, Alina Mauskar, Melissa Micheletti, Robert Mostaghimi, Arash Pierson, Joseph Rosenbach, Misha Schwager, Zachary Seminario-Vidal, Lucia Sharon, Victoria R. Song, Philip I. Strowd, Lindsay C. Walls, Andrew C. Wanat, Karolyn A. Wetter, David A. Worswick, Scott Ziemer, Carolyn Kvedar, Joseph Mikailov, Anar Kroshinsky, Daniela |
description | Patient outcomes are improved when dermatologists provide inpatient consultations. Inpatient access to dermatologists is limited, illustrating an opportunity to use teledermatology. Little is known about the ability of dermatologists to accurately diagnose disease and manage inpatients with teledermatology, particularly when using nondermatologist-generated clinical data.
This prospective study assessed the ability of teledermatology to diagnose disease and manage 41 dermatology consultations from a large urban tertiary care center, using internal medicine referral documentation and photographs. Twenty-seven dermatology hospitalists were surveyed. Interrater agreement was assessed by the κ statistic.
There was substantial agreement between in-person and teledermatology assessment of the diagnosis with differential diagnosis (median κ = 0.83), substantial agreement in laboratory evaluation decisions (median κ = 0.67), almost perfect agreement in imaging decisions (median κ = 1.0), and moderate agreement in biopsy decisions (median κ = 0.43). There was almost perfect agreement in treatment (median κ = 1.0), but no agreement in follow-up planning (median κ = 0.0). There was no association between raw photograph quality and the primary plus differential diagnosis or primary diagnosis alone.
Selection bias and single-center nature.
Teledermatology may be effective in the inpatient setting, with concordant diagnosis, evaluation, and management decisions. |
doi_str_mv | 10.1016/j.jaad.2020.04.171 |
format | Article |
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This prospective study assessed the ability of teledermatology to diagnose disease and manage 41 dermatology consultations from a large urban tertiary care center, using internal medicine referral documentation and photographs. Twenty-seven dermatology hospitalists were surveyed. Interrater agreement was assessed by the κ statistic.
There was substantial agreement between in-person and teledermatology assessment of the diagnosis with differential diagnosis (median κ = 0.83), substantial agreement in laboratory evaluation decisions (median κ = 0.67), almost perfect agreement in imaging decisions (median κ = 1.0), and moderate agreement in biopsy decisions (median κ = 0.43). There was almost perfect agreement in treatment (median κ = 1.0), but no agreement in follow-up planning (median κ = 0.0). There was no association between raw photograph quality and the primary plus differential diagnosis or primary diagnosis alone.
Selection bias and single-center nature.
Teledermatology may be effective in the inpatient setting, with concordant diagnosis, evaluation, and management decisions.</description><identifier>ISSN: 0190-9622</identifier><identifier>EISSN: 1097-6787</identifier><identifier>DOI: 10.1016/j.jaad.2020.04.171</identifier><identifier>PMID: 32389716</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Dermatology - methods ; dermatology consultations ; dermatology hospitalists ; Feasibility Studies ; Female ; Hospitalists - statistics & numerical data ; Hospitalization ; Humans ; inpatient dermatology ; Male ; Middle Aged ; Observer Variation ; Photography ; Prospective Studies ; Remote Consultation - methods ; Skin - diagnostic imaging ; Skin Diseases - diagnosis ; store-and-forward ; Surveys and Questionnaires - statistics & numerical data ; teledermatology ; telemedicine ; Tertiary Care Centers</subject><ispartof>Journal of the American Academy of Dermatology, 2021-06, Vol.84 (6), p.1547-1553</ispartof><rights>2020</rights><rights>Copyright © 2020. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0190962220308318$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32389716$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gabel, Colleen K.</creatorcontrib><creatorcontrib>Nguyen, Emily</creatorcontrib><creatorcontrib>Karmouta, Ryan</creatorcontrib><creatorcontrib>Liu, Kristina J.</creatorcontrib><creatorcontrib>Zhou, Guohai</creatorcontrib><creatorcontrib>Alloo, Allireza</creatorcontrib><creatorcontrib>Arakaki, Ryan</creatorcontrib><creatorcontrib>Balagula, Yevgeniy</creatorcontrib><creatorcontrib>Bridges, Alina G.</creatorcontrib><creatorcontrib>Cowen, Edward W.</creatorcontrib><creatorcontrib>Davis, Mark Denis P.</creatorcontrib><creatorcontrib>Femia, Alisa</creatorcontrib><creatorcontrib>Harp, Joanna</creatorcontrib><creatorcontrib>Kaffenberger, Benjamin</creatorcontrib><creatorcontrib>Keller, Jesse J.</creatorcontrib><creatorcontrib>Kwong, Bernice Y.</creatorcontrib><creatorcontrib>Markova, Alina</creatorcontrib><creatorcontrib>Mauskar, Melissa</creatorcontrib><creatorcontrib>Micheletti, Robert</creatorcontrib><creatorcontrib>Mostaghimi, Arash</creatorcontrib><creatorcontrib>Pierson, Joseph</creatorcontrib><creatorcontrib>Rosenbach, Misha</creatorcontrib><creatorcontrib>Schwager, Zachary</creatorcontrib><creatorcontrib>Seminario-Vidal, Lucia</creatorcontrib><creatorcontrib>Sharon, Victoria R.</creatorcontrib><creatorcontrib>Song, Philip I.</creatorcontrib><creatorcontrib>Strowd, Lindsay C.</creatorcontrib><creatorcontrib>Walls, Andrew C.</creatorcontrib><creatorcontrib>Wanat, Karolyn A.</creatorcontrib><creatorcontrib>Wetter, David A.</creatorcontrib><creatorcontrib>Worswick, Scott</creatorcontrib><creatorcontrib>Ziemer, Carolyn</creatorcontrib><creatorcontrib>Kvedar, Joseph</creatorcontrib><creatorcontrib>Mikailov, Anar</creatorcontrib><creatorcontrib>Kroshinsky, Daniela</creatorcontrib><title>Use of teledermatology by dermatology hospitalists is effective in the diagnosis and management of inpatient disease</title><title>Journal of the American Academy of Dermatology</title><addtitle>J Am Acad Dermatol</addtitle><description>Patient outcomes are improved when dermatologists provide inpatient consultations. Inpatient access to dermatologists is limited, illustrating an opportunity to use teledermatology. Little is known about the ability of dermatologists to accurately diagnose disease and manage inpatients with teledermatology, particularly when using nondermatologist-generated clinical data.
This prospective study assessed the ability of teledermatology to diagnose disease and manage 41 dermatology consultations from a large urban tertiary care center, using internal medicine referral documentation and photographs. Twenty-seven dermatology hospitalists were surveyed. Interrater agreement was assessed by the κ statistic.
There was substantial agreement between in-person and teledermatology assessment of the diagnosis with differential diagnosis (median κ = 0.83), substantial agreement in laboratory evaluation decisions (median κ = 0.67), almost perfect agreement in imaging decisions (median κ = 1.0), and moderate agreement in biopsy decisions (median κ = 0.43). There was almost perfect agreement in treatment (median κ = 1.0), but no agreement in follow-up planning (median κ = 0.0). There was no association between raw photograph quality and the primary plus differential diagnosis or primary diagnosis alone.
Selection bias and single-center nature.
Teledermatology may be effective in the inpatient setting, with concordant diagnosis, evaluation, and management decisions.</description><subject>Adult</subject><subject>Aged</subject><subject>Dermatology - methods</subject><subject>dermatology consultations</subject><subject>dermatology hospitalists</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Hospitalists - statistics & numerical data</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>inpatient dermatology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Observer Variation</subject><subject>Photography</subject><subject>Prospective Studies</subject><subject>Remote Consultation - methods</subject><subject>Skin - diagnostic imaging</subject><subject>Skin Diseases - diagnosis</subject><subject>store-and-forward</subject><subject>Surveys and Questionnaires - statistics & numerical data</subject><subject>teledermatology</subject><subject>telemedicine</subject><subject>Tertiary Care Centers</subject><issn>0190-9622</issn><issn>1097-6787</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpNkU1r3DAQhkVpaDYffyCHoGMvdkeyLFmQSwlJUwj00pzF2BpvtPhjY2kD--8jsyn0MsMwLy8z78PYjYBSgNA_duUO0ZcSJJSgSmHEF7YRYE2hTWO-sg0IC4XVUp6zixh3AGBVZb6x80pWjTVCb1h6icTnnicayNMyYpqHeXvk7ZH_P77OcR8SDiGmyEPk1PfUpfBOPEw8vRL3AbfTHPMKJ89HnHBLI01p9Q7THlNYBx8iYaQrdtbjEOn6s1-yl8eHv_dPxfOfX7_vfz4XJLVKhbaqUSgFeo2alNZkG1GrXvctmc60glprOlIGGllXJHpArZpcbV21ta6rS_b95Ltf5rcDxeTGEDsaBpxoPkQnFeS4mgZslt5-Sg_tSN7tlzDicnT_ksqCu5OA8sHvgRYXu_xTRz4sOQrn5-AEuBWM27kVjFvBOFAug6k-AIVEghY</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Gabel, Colleen K.</creator><creator>Nguyen, Emily</creator><creator>Karmouta, Ryan</creator><creator>Liu, Kristina J.</creator><creator>Zhou, Guohai</creator><creator>Alloo, Allireza</creator><creator>Arakaki, Ryan</creator><creator>Balagula, Yevgeniy</creator><creator>Bridges, Alina G.</creator><creator>Cowen, Edward W.</creator><creator>Davis, Mark Denis P.</creator><creator>Femia, Alisa</creator><creator>Harp, Joanna</creator><creator>Kaffenberger, Benjamin</creator><creator>Keller, Jesse J.</creator><creator>Kwong, Bernice Y.</creator><creator>Markova, Alina</creator><creator>Mauskar, Melissa</creator><creator>Micheletti, Robert</creator><creator>Mostaghimi, Arash</creator><creator>Pierson, Joseph</creator><creator>Rosenbach, Misha</creator><creator>Schwager, Zachary</creator><creator>Seminario-Vidal, Lucia</creator><creator>Sharon, Victoria R.</creator><creator>Song, Philip I.</creator><creator>Strowd, Lindsay C.</creator><creator>Walls, Andrew C.</creator><creator>Wanat, Karolyn A.</creator><creator>Wetter, David A.</creator><creator>Worswick, Scott</creator><creator>Ziemer, Carolyn</creator><creator>Kvedar, Joseph</creator><creator>Mikailov, Anar</creator><creator>Kroshinsky, Daniela</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>202106</creationdate><title>Use of teledermatology by dermatology hospitalists is effective in the diagnosis and management of inpatient disease</title><author>Gabel, Colleen K. ; Nguyen, Emily ; Karmouta, Ryan ; Liu, Kristina J. ; Zhou, Guohai ; Alloo, Allireza ; Arakaki, Ryan ; Balagula, Yevgeniy ; Bridges, Alina G. ; Cowen, Edward W. ; Davis, Mark Denis P. ; Femia, Alisa ; Harp, Joanna ; Kaffenberger, Benjamin ; Keller, Jesse J. ; Kwong, Bernice Y. ; Markova, Alina ; Mauskar, Melissa ; Micheletti, Robert ; Mostaghimi, Arash ; Pierson, Joseph ; Rosenbach, Misha ; Schwager, Zachary ; Seminario-Vidal, Lucia ; Sharon, Victoria R. ; Song, Philip I. ; Strowd, Lindsay C. ; Walls, Andrew C. ; Wanat, Karolyn A. ; Wetter, David A. ; Worswick, Scott ; Ziemer, Carolyn ; Kvedar, Joseph ; Mikailov, Anar ; Kroshinsky, Daniela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-e264t-69484a21ad6a6e466e98154f6fbe7c7b1eb97ce4708253e1f0a648f0a953b5653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Dermatology - methods</topic><topic>dermatology consultations</topic><topic>dermatology hospitalists</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Hospitalists - statistics & numerical data</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>inpatient dermatology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Observer Variation</topic><topic>Photography</topic><topic>Prospective Studies</topic><topic>Remote Consultation - methods</topic><topic>Skin - diagnostic imaging</topic><topic>Skin Diseases - diagnosis</topic><topic>store-and-forward</topic><topic>Surveys and Questionnaires - statistics & numerical data</topic><topic>teledermatology</topic><topic>telemedicine</topic><topic>Tertiary Care Centers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gabel, Colleen K.</creatorcontrib><creatorcontrib>Nguyen, Emily</creatorcontrib><creatorcontrib>Karmouta, Ryan</creatorcontrib><creatorcontrib>Liu, Kristina J.</creatorcontrib><creatorcontrib>Zhou, Guohai</creatorcontrib><creatorcontrib>Alloo, Allireza</creatorcontrib><creatorcontrib>Arakaki, Ryan</creatorcontrib><creatorcontrib>Balagula, Yevgeniy</creatorcontrib><creatorcontrib>Bridges, Alina G.</creatorcontrib><creatorcontrib>Cowen, Edward W.</creatorcontrib><creatorcontrib>Davis, Mark Denis P.</creatorcontrib><creatorcontrib>Femia, Alisa</creatorcontrib><creatorcontrib>Harp, Joanna</creatorcontrib><creatorcontrib>Kaffenberger, Benjamin</creatorcontrib><creatorcontrib>Keller, Jesse J.</creatorcontrib><creatorcontrib>Kwong, Bernice Y.</creatorcontrib><creatorcontrib>Markova, Alina</creatorcontrib><creatorcontrib>Mauskar, Melissa</creatorcontrib><creatorcontrib>Micheletti, Robert</creatorcontrib><creatorcontrib>Mostaghimi, Arash</creatorcontrib><creatorcontrib>Pierson, Joseph</creatorcontrib><creatorcontrib>Rosenbach, Misha</creatorcontrib><creatorcontrib>Schwager, Zachary</creatorcontrib><creatorcontrib>Seminario-Vidal, Lucia</creatorcontrib><creatorcontrib>Sharon, Victoria R.</creatorcontrib><creatorcontrib>Song, Philip I.</creatorcontrib><creatorcontrib>Strowd, Lindsay C.</creatorcontrib><creatorcontrib>Walls, Andrew C.</creatorcontrib><creatorcontrib>Wanat, Karolyn A.</creatorcontrib><creatorcontrib>Wetter, David A.</creatorcontrib><creatorcontrib>Worswick, Scott</creatorcontrib><creatorcontrib>Ziemer, Carolyn</creatorcontrib><creatorcontrib>Kvedar, Joseph</creatorcontrib><creatorcontrib>Mikailov, Anar</creatorcontrib><creatorcontrib>Kroshinsky, Daniela</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Academy of Dermatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gabel, Colleen K.</au><au>Nguyen, Emily</au><au>Karmouta, Ryan</au><au>Liu, Kristina J.</au><au>Zhou, Guohai</au><au>Alloo, Allireza</au><au>Arakaki, Ryan</au><au>Balagula, Yevgeniy</au><au>Bridges, Alina G.</au><au>Cowen, Edward W.</au><au>Davis, Mark Denis P.</au><au>Femia, Alisa</au><au>Harp, Joanna</au><au>Kaffenberger, Benjamin</au><au>Keller, Jesse J.</au><au>Kwong, Bernice Y.</au><au>Markova, Alina</au><au>Mauskar, Melissa</au><au>Micheletti, Robert</au><au>Mostaghimi, Arash</au><au>Pierson, Joseph</au><au>Rosenbach, Misha</au><au>Schwager, Zachary</au><au>Seminario-Vidal, Lucia</au><au>Sharon, Victoria R.</au><au>Song, Philip I.</au><au>Strowd, Lindsay C.</au><au>Walls, Andrew C.</au><au>Wanat, Karolyn A.</au><au>Wetter, David A.</au><au>Worswick, Scott</au><au>Ziemer, Carolyn</au><au>Kvedar, Joseph</au><au>Mikailov, Anar</au><au>Kroshinsky, Daniela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of teledermatology by dermatology hospitalists is effective in the diagnosis and management of inpatient disease</atitle><jtitle>Journal of the American Academy of Dermatology</jtitle><addtitle>J Am Acad Dermatol</addtitle><date>2021-06</date><risdate>2021</risdate><volume>84</volume><issue>6</issue><spage>1547</spage><epage>1553</epage><pages>1547-1553</pages><issn>0190-9622</issn><eissn>1097-6787</eissn><abstract>Patient outcomes are improved when dermatologists provide inpatient consultations. Inpatient access to dermatologists is limited, illustrating an opportunity to use teledermatology. Little is known about the ability of dermatologists to accurately diagnose disease and manage inpatients with teledermatology, particularly when using nondermatologist-generated clinical data.
This prospective study assessed the ability of teledermatology to diagnose disease and manage 41 dermatology consultations from a large urban tertiary care center, using internal medicine referral documentation and photographs. Twenty-seven dermatology hospitalists were surveyed. Interrater agreement was assessed by the κ statistic.
There was substantial agreement between in-person and teledermatology assessment of the diagnosis with differential diagnosis (median κ = 0.83), substantial agreement in laboratory evaluation decisions (median κ = 0.67), almost perfect agreement in imaging decisions (median κ = 1.0), and moderate agreement in biopsy decisions (median κ = 0.43). There was almost perfect agreement in treatment (median κ = 1.0), but no agreement in follow-up planning (median κ = 0.0). There was no association between raw photograph quality and the primary plus differential diagnosis or primary diagnosis alone.
Selection bias and single-center nature.
Teledermatology may be effective in the inpatient setting, with concordant diagnosis, evaluation, and management decisions.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32389716</pmid><doi>10.1016/j.jaad.2020.04.171</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Dermatology - methods dermatology consultations dermatology hospitalists Feasibility Studies Female Hospitalists - statistics & numerical data Hospitalization Humans inpatient dermatology Male Middle Aged Observer Variation Photography Prospective Studies Remote Consultation - methods Skin - diagnostic imaging Skin Diseases - diagnosis store-and-forward Surveys and Questionnaires - statistics & numerical data teledermatology telemedicine Tertiary Care Centers |
title | Use of teledermatology by dermatology hospitalists is effective in the diagnosis and management of inpatient disease |
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