ArticleJournal of clinical orthopaedics and trauma2023
"New innovative QR code-based mobile audience response system (mARS) for panel discussion (PD) in a Indian Arthroscopy Society conference(IASCON) of 1102 registered delegates." - A cross-sectional study.
Article in Journal of clinical orthopaedics and trauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 0 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purpose is to determine the feasibility of Mobile based Audience response system (mARS) and the best time to get maximum delegate participation in panel discussion at a national Indian Arthroscopic Society conference(year-2022) with 1102 delegates by studying their engagement at various time schedules. Methods: Our institution-based software engineer set up mARS, and a separate URL, was purchased for recording the responses. 5 Panel discussions (PD) were moderated by senior national faculty, 3 were on knee topics, and 2 were on Shoulder topics. The audiences were engaged in ongoing PD discussion by displaying the multiple choice questions (MCQs) questions for 15-30 seconds & real-time response was collated, and poll results were declared in real-time during the conference. The data of each panel discussion was acquired from admin page & statistical analysis was done to determine the audience participation in Hall A (Knee) versus Hall B (Shoulder), Day 2 versus day 3 and pre-lunch session versus post-lunch session. Results: Maximum number of delegates (252) participated in Multi-ligament knee injury (MLKI)PD (day 2); however, percentage of response was higher for Massive cuff tear PD (day 3). Audience response was better on day 2, for shoulder topics and pre-lunch session PD than on day 3, knee topics and post-lunch sessions & this was statistically significant (p < 0.001). Conclusions: mARS proves is an innovative and valuable resource, enhancing audience participation during PD at large gatherings. Real-time results aids not only active delegate engagement but also helps moderators/panellist in curating discussions to answer uncommon queries and unify the responses. The most suitable time for PD sessions utilizing mARS is the pre-lunch slot on day 2. Level of the evidence: Level 3 (Decision Analysis- Observational cross-sectional study). Study design: Cross-Sectional Study. Relevance: This article helps the organizers of larger meeting to time the panel discussion appropriately to obtain maximum audience participation and curate the discussion based on delegate centric responses. Key terms: mobile Audience response system (mARS), Audience response system (ARS), Panel Discussion(PD), Indian Arthroscopic Society conference (IASCON), Indian Arthroscopy society (IAS). What is known about the subject: Audience response system (ARS) in the smaller meeting and webinars are well known entity to have active participation in on-going discussion. “What are the new findings?”: Response and results of innovative QR code-based mobile Audience response system (mARS) for Panel discussion (PD) in larger arthroscopic conference with 1102 delegates showed delegates were more interested in Shoulder topics and pre-lunch session and Day 2 response were better.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.