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远程皮肤病学的诊断可靠性:系统评价和荟萃分析。

Diagnostic reliability in teledermatology: a systematic review and a meta-analysis.

机构信息

Queen's University School of Medicine, Kingston, Ontario, Canada.

Faculty of Medicine and Health Sciences, McGill University Montreal, Montreal, Quebec, Canada.

出版信息

BMJ Open. 2023 Aug 11;13(8):e068207. doi: 10.1136/bmjopen-2022-068207.

Abstract

OBJECTIVES

To compare teledermatology and face-to-face (F2F) agreement in primary diagnoses of dermatological conditions.

DESIGN

Systematic review and meta-analysis METHODS: MEDLINE, Embase, Cochrane Library (Wiley), CINAHL and medRxiv were searched between January 2010 and May 2022. Observational studies and randomised clinical trials that reported percentage agreement or kappa concordance for primary diagnoses between teledermatology and F2F physicians were included. Titles, abstracts and full-text articles were screened in duplicate. From 7173 citations, 44 articles were included. A random-effects meta-analysis was conducted to estimate pooled estimates. Primary outcome measures were mean percentage and kappa concordance for assessing diagnostic matches between teledermatology and F2F physicians. Secondary outcome measures included the agreement between teledermatologists, F2F dermatologists, and teledermatology and histopathology results.

RESULTS

44 studies were extracted and reviewed. The pooled agreement rate was 68.9%, and kappa concordance was 0.67. When dermatologists conducted F2F and teledermatology consults, the overall diagnostic agreement was significantly higher at 71% compared with 44% for non-specialists. Kappa concordance was 0.69 for teledermatologist versus specialist and 0.52 for non-specialists. Higher diagnostic agreements were also noted with image acquisition training and digital photography. The agreement rate was 76.4% between teledermatologists, 82.4% between F2F physicians and 55.7% between teledermatology and histopathology.

CONCLUSIONS AND RELEVANCE

Teledermatology can be an attractive option particularly in resource-poor settings. Future efforts should be placed on incorporating image acquisition training and access to high-quality imaging technologies.

TRIAL REGISTRATION NUMBER

10.17605/OSF.IO/FJDVG.

摘要

目的

比较远程皮肤病学与面对面(F2F)诊断皮肤科疾病的一致性。

设计

系统评价和荟萃分析。

方法

从 2010 年 1 月至 2022 年 5 月,我们在 MEDLINE、Embase、Cochrane 图书馆(Wiley)、CINAHL 和 medRxiv 上进行了检索。纳入了报告远程皮肤病学与 F2F 医生之间主要诊断一致性的百分比或 Kappa 一致性的观察性研究和随机临床试验。对标题、摘要和全文文章进行了重复筛选。从 7173 条引文中,纳入了 44 篇文章。采用随机效应荟萃分析来估计汇总估计值。主要结局指标为评估远程皮肤病学与 F2F 医生之间诊断匹配的平均百分比和 Kappa 一致性。次要结局指标包括远程皮肤科医生、F2F 皮肤科医生以及远程皮肤病学与组织病理学结果之间的一致性。

结果

共提取和审查了 44 项研究。总体一致性率为 68.9%,Kappa 一致性为 0.67。当皮肤科医生进行 F2F 和远程皮肤病学咨询时,总体诊断一致性显著更高,为 71%,而非专家为 44%。Kappa 一致性为远程皮肤科医生与专家为 0.69,非专家为 0.52。进行图像采集培训和数字摄影也可以提高诊断一致性。远程皮肤科医生之间的一致性率为 76.4%,F2F 医生之间为 82.4%,远程皮肤病学与组织病理学之间为 55.7%。

结论和相关性

远程皮肤病学可能是一种有吸引力的选择,尤其是在资源匮乏的环境中。未来的工作应致力于纳入图像采集培训和获得高质量的成像技术。

试验注册编号

10.17605/OSF.IO/FJDVG。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30af/10423833/320b7059f5fd/bmjopen-2022-068207f01.jpg

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