Is an image-based eyelid management service safe and effective?
Introduction The COVID-19 pandemic created a requirement for reduced patient contact and reduced capacity in clinics. We previously published results of an Image-Based Eyelid Lesion Management Service (IBELMS) which was found non-inferior to traditional face-to-face clinic at diagnosing lesions and...
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description | Introduction
The COVID-19 pandemic created a requirement for reduced patient contact and reduced capacity in clinics. We previously published results of an Image-Based Eyelid Lesion Management Service (IBELMS) which was found non-inferior to traditional face-to-face clinic at diagnosing lesions and identifying eyelid malignancies. We now present first-year safety and efficacy data from this service.
Methods
Data were collected retrospectively on all patients seen in NHS Greater Glasgow and Clyde eyelid photography clinics from 30
th
September 2020 to 29
th
September 2021, including referral source and diagnosis, time to clinic review, treatment and patient outcomes.
Results
808 patients were included in the study. Chalazion was the most common diagnoses recorded (38.4%). There was a statistically significant decrease in mean time from referral to appointment time between the first 4 months and last 4 months of the service (93 days to 22 days,
p
≤ 0.0001). 266 (33%) of patients were discharged following photographs, 45 (6%) were discharged for non-attendance and 371 (46%) were booked for a minor procedure. 13 biopsy-confirmed malignant lesions were identified; only 3 had been referred as suspected malignancy. 23 patients out of 330 with at least 6 months follow up (7%) were re-referred within 6 months of treatment or discharge; however, none of them with a missed periocular malignancy.
Discussion
Eyelid photography clinics effectively reduce patient waiting times and maximise clinic capacity. They accurately identify eyelid lesions including malignancies with a low re-referral rate. We propose that an image-based service for eyelid lesions is a safe and effective way of managing such patients. |
doi_str_mv | 10.1038/s41433-023-02572-2 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10206336</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2819278984</sourcerecordid><originalsourceid>FETCH-LOGICAL-c426t-77516f0f79f76dd91c9b5ced4c4683f36a2fda2f1ed60b4b270dc004d03e922e3</originalsourceid><addsrcrecordid>eNp9kctqHDEQRUVIiCdOfiAL05BNNm2XSq_u1WBMHgaDNwlkJ9RSadKmH7Y0M-C_t8bjOLYXXhQC3VO3qriMfeZwzEE0J1lyKUQNuCtlsMY3bMGl0bWSSr5lC2gV1Ij454B9yPkKoIgG3rMDYRBVg2rBlue5clPVj25FdecyhYpuaehDNbqp_I00ratMadt7qrKLVOiCxEh-3W9p-ZG9i27I9OnhPWS_v3_7dfazvrj8cX52elF7iXpdG6O4jhBNG40OoeW-7ZSnIL3UjYhCO4yhFKegoZMdGggeQAYQ1CKSOGTLve_1phsp-LJWcoO9TmXzdGtn19vnytT_tat5azkgaCF0cfj64JDmmw3ltR377GkY3ETzJltseIumaRtZ0C8v0Kt5k6ZyX6FalLyRCguFe8qnOedE8XEbDnYXkN0HZEtA9j4gu2s6enrHY8u_RAog9kAu0rSi9H_2K7Z3-TubJg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2892418452</pqid></control><display><type>article</type><title>Is an image-based eyelid management service safe and effective?</title><source>MEDLINE</source><source>PubMed Central</source><source>SpringerLink Journals - AutoHoldings</source><creator>Gillam, Matthew ; Younus, Osman ; Loo, Shi-Pei ; Connolly, Julie ; Cauchi, Paul ; Gregory, Marilena ; Drummond, Suzy ; Chadha, Vikas</creator><creatorcontrib>Gillam, Matthew ; Younus, Osman ; Loo, Shi-Pei ; Connolly, Julie ; Cauchi, Paul ; Gregory, Marilena ; Drummond, Suzy ; Chadha, Vikas</creatorcontrib><description>Introduction
The COVID-19 pandemic created a requirement for reduced patient contact and reduced capacity in clinics. We previously published results of an Image-Based Eyelid Lesion Management Service (IBELMS) which was found non-inferior to traditional face-to-face clinic at diagnosing lesions and identifying eyelid malignancies. We now present first-year safety and efficacy data from this service.
Methods
Data were collected retrospectively on all patients seen in NHS Greater Glasgow and Clyde eyelid photography clinics from 30
th
September 2020 to 29
th
September 2021, including referral source and diagnosis, time to clinic review, treatment and patient outcomes.
Results
808 patients were included in the study. Chalazion was the most common diagnoses recorded (38.4%). There was a statistically significant decrease in mean time from referral to appointment time between the first 4 months and last 4 months of the service (93 days to 22 days,
p
≤ 0.0001). 266 (33%) of patients were discharged following photographs, 45 (6%) were discharged for non-attendance and 371 (46%) were booked for a minor procedure. 13 biopsy-confirmed malignant lesions were identified; only 3 had been referred as suspected malignancy. 23 patients out of 330 with at least 6 months follow up (7%) were re-referred within 6 months of treatment or discharge; however, none of them with a missed periocular malignancy.
Discussion
Eyelid photography clinics effectively reduce patient waiting times and maximise clinic capacity. They accurately identify eyelid lesions including malignancies with a low re-referral rate. We propose that an image-based service for eyelid lesions is a safe and effective way of managing such patients.</description><identifier>ISSN: 0950-222X</identifier><identifier>EISSN: 1476-5454</identifier><identifier>DOI: 10.1038/s41433-023-02572-2</identifier><identifier>PMID: 37225825</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/1807 ; 692/700/1421 ; 692/700/565/545 ; Biopsy ; Clinics ; COVID-19 ; Eyelid ; Eyelid Neoplasms - diagnostic imaging ; Eyelid Neoplasms - therapy ; Eyelids - diagnostic imaging ; Humans ; Laboratory Medicine ; Lesions ; Malignancy ; Medicine ; Medicine & Public Health ; Ophthalmology ; Pandemics ; Patients ; Pharmaceutical Sciences/Technology ; Photography ; Retrospective Studies ; Skin Neoplasms ; Statistical analysis ; Surgery ; Surgical Oncology</subject><ispartof>Eye (London), 2023-12, Vol.37 (17), p.3643-3647</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c426t-77516f0f79f76dd91c9b5ced4c4683f36a2fda2f1ed60b4b270dc004d03e922e3</cites><orcidid>0000-0003-1677-5284 ; 0000-0001-8503-600X ; 0000-0002-7881-0922</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206336/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206336/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,41486,42555,51317,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37225825$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gillam, Matthew</creatorcontrib><creatorcontrib>Younus, Osman</creatorcontrib><creatorcontrib>Loo, Shi-Pei</creatorcontrib><creatorcontrib>Connolly, Julie</creatorcontrib><creatorcontrib>Cauchi, Paul</creatorcontrib><creatorcontrib>Gregory, Marilena</creatorcontrib><creatorcontrib>Drummond, Suzy</creatorcontrib><creatorcontrib>Chadha, Vikas</creatorcontrib><title>Is an image-based eyelid management service safe and effective?</title><title>Eye (London)</title><addtitle>Eye</addtitle><addtitle>Eye (Lond)</addtitle><description>Introduction
The COVID-19 pandemic created a requirement for reduced patient contact and reduced capacity in clinics. We previously published results of an Image-Based Eyelid Lesion Management Service (IBELMS) which was found non-inferior to traditional face-to-face clinic at diagnosing lesions and identifying eyelid malignancies. We now present first-year safety and efficacy data from this service.
Methods
Data were collected retrospectively on all patients seen in NHS Greater Glasgow and Clyde eyelid photography clinics from 30
th
September 2020 to 29
th
September 2021, including referral source and diagnosis, time to clinic review, treatment and patient outcomes.
Results
808 patients were included in the study. Chalazion was the most common diagnoses recorded (38.4%). There was a statistically significant decrease in mean time from referral to appointment time between the first 4 months and last 4 months of the service (93 days to 22 days,
p
≤ 0.0001). 266 (33%) of patients were discharged following photographs, 45 (6%) were discharged for non-attendance and 371 (46%) were booked for a minor procedure. 13 biopsy-confirmed malignant lesions were identified; only 3 had been referred as suspected malignancy. 23 patients out of 330 with at least 6 months follow up (7%) were re-referred within 6 months of treatment or discharge; however, none of them with a missed periocular malignancy.
Discussion
Eyelid photography clinics effectively reduce patient waiting times and maximise clinic capacity. They accurately identify eyelid lesions including malignancies with a low re-referral rate. We propose that an image-based service for eyelid lesions is a safe and effective way of managing such patients.</description><subject>692/1807</subject><subject>692/700/1421</subject><subject>692/700/565/545</subject><subject>Biopsy</subject><subject>Clinics</subject><subject>COVID-19</subject><subject>Eyelid</subject><subject>Eyelid Neoplasms - diagnostic imaging</subject><subject>Eyelid Neoplasms - therapy</subject><subject>Eyelids - diagnostic imaging</subject><subject>Humans</subject><subject>Laboratory Medicine</subject><subject>Lesions</subject><subject>Malignancy</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Ophthalmology</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Pharmaceutical Sciences/Technology</subject><subject>Photography</subject><subject>Retrospective Studies</subject><subject>Skin Neoplasms</subject><subject>Statistical analysis</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><issn>0950-222X</issn><issn>1476-5454</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctqHDEQRUVIiCdOfiAL05BNNm2XSq_u1WBMHgaDNwlkJ9RSadKmH7Y0M-C_t8bjOLYXXhQC3VO3qriMfeZwzEE0J1lyKUQNuCtlsMY3bMGl0bWSSr5lC2gV1Ij454B9yPkKoIgG3rMDYRBVg2rBlue5clPVj25FdecyhYpuaehDNbqp_I00ratMadt7qrKLVOiCxEh-3W9p-ZG9i27I9OnhPWS_v3_7dfazvrj8cX52elF7iXpdG6O4jhBNG40OoeW-7ZSnIL3UjYhCO4yhFKegoZMdGggeQAYQ1CKSOGTLve_1phsp-LJWcoO9TmXzdGtn19vnytT_tat5azkgaCF0cfj64JDmmw3ltR377GkY3ETzJltseIumaRtZ0C8v0Kt5k6ZyX6FalLyRCguFe8qnOedE8XEbDnYXkN0HZEtA9j4gu2s6enrHY8u_RAog9kAu0rSi9H_2K7Z3-TubJg</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Gillam, Matthew</creator><creator>Younus, Osman</creator><creator>Loo, Shi-Pei</creator><creator>Connolly, Julie</creator><creator>Cauchi, Paul</creator><creator>Gregory, Marilena</creator><creator>Drummond, Suzy</creator><creator>Chadha, Vikas</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1677-5284</orcidid><orcidid>https://orcid.org/0000-0001-8503-600X</orcidid><orcidid>https://orcid.org/0000-0002-7881-0922</orcidid></search><sort><creationdate>20231201</creationdate><title>Is an image-based eyelid management service safe and effective?</title><author>Gillam, Matthew ; Younus, Osman ; Loo, Shi-Pei ; Connolly, Julie ; Cauchi, Paul ; Gregory, Marilena ; Drummond, Suzy ; Chadha, Vikas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-77516f0f79f76dd91c9b5ced4c4683f36a2fda2f1ed60b4b270dc004d03e922e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>692/1807</topic><topic>692/700/1421</topic><topic>692/700/565/545</topic><topic>Biopsy</topic><topic>Clinics</topic><topic>COVID-19</topic><topic>Eyelid</topic><topic>Eyelid Neoplasms - diagnostic imaging</topic><topic>Eyelid Neoplasms - therapy</topic><topic>Eyelids - diagnostic imaging</topic><topic>Humans</topic><topic>Laboratory Medicine</topic><topic>Lesions</topic><topic>Malignancy</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Ophthalmology</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Pharmaceutical Sciences/Technology</topic><topic>Photography</topic><topic>Retrospective Studies</topic><topic>Skin Neoplasms</topic><topic>Statistical analysis</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gillam, Matthew</creatorcontrib><creatorcontrib>Younus, Osman</creatorcontrib><creatorcontrib>Loo, Shi-Pei</creatorcontrib><creatorcontrib>Connolly, Julie</creatorcontrib><creatorcontrib>Cauchi, Paul</creatorcontrib><creatorcontrib>Gregory, Marilena</creatorcontrib><creatorcontrib>Drummond, Suzy</creatorcontrib><creatorcontrib>Chadha, Vikas</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Eye (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gillam, Matthew</au><au>Younus, Osman</au><au>Loo, Shi-Pei</au><au>Connolly, Julie</au><au>Cauchi, Paul</au><au>Gregory, Marilena</au><au>Drummond, Suzy</au><au>Chadha, Vikas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is an image-based eyelid management service safe and effective?</atitle><jtitle>Eye (London)</jtitle><stitle>Eye</stitle><addtitle>Eye (Lond)</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>37</volume><issue>17</issue><spage>3643</spage><epage>3647</epage><pages>3643-3647</pages><issn>0950-222X</issn><eissn>1476-5454</eissn><abstract>Introduction
The COVID-19 pandemic created a requirement for reduced patient contact and reduced capacity in clinics. We previously published results of an Image-Based Eyelid Lesion Management Service (IBELMS) which was found non-inferior to traditional face-to-face clinic at diagnosing lesions and identifying eyelid malignancies. We now present first-year safety and efficacy data from this service.
Methods
Data were collected retrospectively on all patients seen in NHS Greater Glasgow and Clyde eyelid photography clinics from 30
th
September 2020 to 29
th
September 2021, including referral source and diagnosis, time to clinic review, treatment and patient outcomes.
Results
808 patients were included in the study. Chalazion was the most common diagnoses recorded (38.4%). There was a statistically significant decrease in mean time from referral to appointment time between the first 4 months and last 4 months of the service (93 days to 22 days,
p
≤ 0.0001). 266 (33%) of patients were discharged following photographs, 45 (6%) were discharged for non-attendance and 371 (46%) were booked for a minor procedure. 13 biopsy-confirmed malignant lesions were identified; only 3 had been referred as suspected malignancy. 23 patients out of 330 with at least 6 months follow up (7%) were re-referred within 6 months of treatment or discharge; however, none of them with a missed periocular malignancy.
Discussion
Eyelid photography clinics effectively reduce patient waiting times and maximise clinic capacity. They accurately identify eyelid lesions including malignancies with a low re-referral rate. We propose that an image-based service for eyelid lesions is a safe and effective way of managing such patients.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>37225825</pmid><doi>10.1038/s41433-023-02572-2</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0003-1677-5284</orcidid><orcidid>https://orcid.org/0000-0001-8503-600X</orcidid><orcidid>https://orcid.org/0000-0002-7881-0922</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 692/1807 692/700/1421 692/700/565/545 Biopsy Clinics COVID-19 Eyelid Eyelid Neoplasms - diagnostic imaging Eyelid Neoplasms - therapy Eyelids - diagnostic imaging Humans Laboratory Medicine Lesions Malignancy Medicine Medicine & Public Health Ophthalmology Pandemics Patients Pharmaceutical Sciences/Technology Photography Retrospective Studies Skin Neoplasms Statistical analysis Surgery Surgical Oncology |
title | Is an image-based eyelid management service safe and effective? |
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