Evidence map›Paper›PMID 35136292›Full record

ArticleIndian journal of urology : IJU : journal of the Urological Society of India

Utility of WhatsApp in emergency urological practice: An interrater reliability study.

Aditya Prakash Sharma, Saket Singh, Sudheer Kumar Devana, Kapil Chaudhary, Tarun Pareek, Shrawan K Singh

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Article in Indian journal of urology : IJU : journal of the Urological Society of India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aditya Prakash SharmaDepartment of Urology, PGIMER, Chandigarh, India.
Saket SinghDepartment of Urology, PGIMER, Chandigarh, India.
Sudheer Kumar DevanaDepartment of Urology, PGIMER, Chandigarh, India.
Kapil ChaudharyDepartment of Urology, PGIMER, Chandigarh, India.
Tarun PareekDepartment of Urology, PGIMER, Chandigarh, India.
Shrawan K SinghDepartment of Urology, PGIMER, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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

methodsClinical 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.

resultsMean WI rating ranged from 3.03 ± 0.61 to 3.73 ± 0.64 (Cronbach alfa [α]-0.494,

conclusionsWhatsApp 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.

Identifiers

PMID35136292
PMCPMC8796770

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