Utility of WhatsApp in emergency urological practice: An interrater reliability study
Introduction: The messaging application 'WhatsApp' is used in clinical practice, often for communication between a medical trainee and a consultant. We designed this study to find the interrater reliability of the data transmitted through this application and validating its use in urologic...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2022-01-01
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Series: | Indian Journal of Urology |
Online Access: | http://www.indianjurol.com/article.asp?issn=0970-1591;year=2022;volume=38;issue=1;spage=29;epage=33;aulast=Sharma |
Summary: | Introduction: The messaging application 'WhatsApp' is used in clinical practice, often for communication between a medical trainee and a consultant. We designed this study to find the interrater reliability of the data transmitted through this application and validating its use in urological practice.
Materials and Methods: Clinical details and computerized tomographic (CT) images of 30 patients visiting the urology emergency were posted in a closed WhatsApp group involving three consultants (SKD, APS, and KC). The CT images were posted in the WhatsApp group as Whole Image (WI) and Image of Interest (IOI) format and rated on a scale of 1–5. The consultants formulated a provisional diagnosis and initial management strategy. The interrater reliability of these responses was analyzed in the study.
Results: Mean WI rating ranged from 3.03 ± 0.61 to 3.73 ± 0.64 (Cronbach alfa [α]-0.494, P = 0.006). Mean IOI rating ranged from 3.4 ± 0.56 to 4.13 ± 0.73 (α-0.824, P < 0.0001). For diagnosis, the proportion of observed agreement (P0) was 83.3% for SKD and APS, 76.6% for SKD and KC, and 73.3% for APS and KC. For management, P0 was 86.6% for APS and KC, 86.6% for SKD and APS, and 80% for SKD and KC.
Conclusions: WhatsApp Messenger serves to transmit good quality pictures of CT scan images. A reasonable diagnosis and management strategy can be formulated using this app with fair inter-rater reliability. |
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ISSN: | 0970-1591 1998-3824 |