Following the crowd: patterns of crowdsourcing on Twitter among urologists

Mobile and eHealth technologies in the management and prevention of nephrolithiasis: A systematic review

INTRODUCTION

Kidney stone disease (KSD) is a common urological condition that often requires long-term care. Mobile health (mHealth) and eHealth technologies have the potential to enhance chronic disease management and behavioral change. To assess opportunities to apply these tools to improve KSD treatment and prevention, we aimed to assess current evidence on the use, benefits, and limitations of mHealth and eHealth in KSD.

METHODS

We performed a systematic review of primary research studies of mHealth and eHealth in the evaluation and management of KSD. Two independent researchers screened citations by title and abstract for relevance, then full-text review was performed for descriptive summary of the studies.

RESULTS

A total of 37 articles were included for analysis. Primary domains of evidence included: 1) "smart" water bottles and mobile-device apps for tracking fluid consumption, which showed increased intake in most studies; 2) ureteral stent tracking platforms, which improved the rate of long-term retained stents; 3) virtual stone clinics, which have been suggested to increase access, lower costs, and have satisfactory outcomes; 4) smartphone-based endoscopy platforms, which offered cost-effective image quality in resource-limited settings; 5) patient information about KSD online, which was typically characterized as poor quality and/or accuracy, particularly on YouTube. Most studies were proof-of-concept or single-arm intervention designs, with limited assessment of effectiveness or long-term clinical outcomes.

CONCLUSIONS

Mobile and eHealth technologies have significant real-world applications to KSD prevention, intervention, and patient education. A lack of rigorous effectiveness studies currently limits evidence-based conclusions and incorporation in clinical guidelines.

Marketing yourself in social media as a global health organization: lessons to be learned

PURPOSE

To evaluate whether X, formerly known as Twitter, is being used effectively to advance the goals of International Volunteers in Urology (IVUmed). How is X activity associated with end-user engagement?

METHODS

Monthly analytics of the X account @IVUmed were reviewed between September 2014 and November 2022 using https://analytics.twitter.com/ . Outcomes included tweets, mentions, impressions, engagements, interactions, followers, and profile visits. Statistical analysis using Mann-Whitney U test and Spearman's rank-order correlation was performed. Top tweet content between December 2020 and November 2022 was also analyzed and assigned one of seven different categories: research, workshops, mission statement, educational materials, fundraising, individual spotlight, and other.

RESULTS

Of @IVUmed's 1668 followers, 1334 (80.0%) were individuals. One thousand one hundred twenty-six (84.4%) individuals listed their locations with the majority (79.8%) residing in high-income countries. Tweet impressions have increased over time; they were significantly higher (p < 0.01) on average after the onset of COVID-19 in March 2020. From December 2020 to November 2022, new followers were positively correlated with tweet impressions (p < 0.01), total mentions (p < 0.01), and profile visits (p < 0.01). Profile visits were positively correlated with total tweets (p < 0.01). The content categories for monthly top tweets that proportionally garnered the most engagements were workshops (50%) and individual spotlight (29%), despite not being the most tweeted about content categories.

CONCLUSION

Non-profit organizations wishing to increase their web-based outreach can benefit from increased primary X activity. While not evaluated in this study, it may also improve fundraising capabilities. Nevertheless, periodic review of account activity is important to ensure engagement of the targeted audience.

Do Articles Shared by Academic Medicine Social Media Influencers Drive Future Citation Rates?

OBJECTIVE

To assess the role of influential figures within social media (SoMe) in driving future citations.

METHODS

All original articles published in the Journal of Urology and European Urology in 2018 were identified. For each article, number of mentions on any SoMe platform, article's Twitter reach, and total citations were collected. Article characteristics such as type of study, article topic, and open access status were identified. Total academic research output was obtained for first and last authors of included articles. Influential SoMe figures were defined as users that tweeted about included articles and had over 2000 followers. For these accounts, we collected total followers, total tweets, engagement statistics, verification status, and academic characteristics such as total citations and total prior publications. The impact of SoMe, article, and academic characteristics on future citations was assessed using panel data regression analysis.

RESULTS

We identified 394 articles with 8895 total citations and 460 SoMe influencers. On panel data regression modeling, tweets about a specific article were associated with future citations (0.17 citations per tweet about an article, P < .001). SoMe influencer characteristics were not associated with increased citations (P > .05). The following non-SoMe-associated characteristics were predictive of future citations (P < .001): study type (prospective studies received 12.9 more citations than cross-sectional studies), open access status (4.3 citations more if open access, P < .001), and previously well-published first and last authors.

CONCLUSION

While SoMe posts are associated with increased visibility and higher future citation rates, SoMe influencers do not appear to drive these outcomes. Instead, high quality and accessibility were more predictive of future citability.

Twitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?

Background

Crowdsourcing is a low-cost, adaptable, and innovative method to collect ideas from numerous contributors with diverse backgrounds. Crowdsourcing from social media like Twitter can be used for generating ideas in a noticeably brief time based on contributions from globally distributed users. The world has been challenged by the COVID-19 pandemic in the last several years. Measures to combat the pandemic continue to evolve worldwide, and ideas and opinions on optimal counteraction strategies are of high interest.

Objective

This study aimed to validate the use of Twitter as a crowdsourcing platform in order to gain an understanding of public opinion on what measures can help to end the COVID-19 pandemic faster.

Methods

This cross-sectional study was conducted during the period from December 22, 2021, to February 4, 2022. Tweets were posted by accounts operated by the authors, asking “How to faster end the COVID-19 pandemic?” and encouraging the viewers to comment on measures that they perceive would be effective to achieve this goal. The ideas from the users' comments were collected and categorized into two major themes – personal and institutional measures. In the final stage of the campaign, a Twitter poll was conducted to get additional comments and to estimate which of the two groups of measures were perceived to be important amongst Twitter users.

Results

The crowdsourcing campaign generated seventeen suggested measures categorized into two major themes (personal and institutional) that received a total of 1,727 endorsements (supporting comments, retweets, and likes). The poll received a total of 325 votes with 58% of votes underscoring the importance of both personal and institutional measures, 20% favoring personal measures, 11% favoring institutional measures, and 11% of the votes given just out of curiosity to see the vote results.

Conclusions

Twitter was utilized successfully for crowdsourcing ideas on strategies how to end the COVID-19 pandemic faster. The results indicate that the Twitter community highly values the significance of both personal responsibility and institutional measures to counteract the pandemic. This study validates the use of Twitter as a primary tool that could be used for crowdsourcing ideas with healthcare significance.

#AUAMatch: The Impact of COVID-19 on Social Media Use in the Urology Residency Match

OBJECTIVES

To examine changes in Social Media (SoMe) use among urology residency applicants before and after the COVID-19 pandemic.

METHODS

We distributed surveys to individuals who applied to our residency program for application cycles ending in 2018, 2019, and 2021. The surveys included questions about applicants' SoMe use and perceptions of programs' SoMe use during the application process, both before (2018/2019) and after (2021) the COVID-19 pandemic. The primary outcome was SoMe use for professional purposes.

RESULTS

We received survey responses from 33% (162 of 496) and 29% (84 of 294) of applicants from the 2018/2019 and 2021 cohorts, respectively. There was a significant increase in professional SoMe use in the 2021 cohort (80%) compared with the 2018/2019 cohort (44%) (P < .001). In 2021 compared to 2018/2019, more applicants used SoMe to connect directly with residents (69% vs 34%, P < .001) and with faculty members (65% vs 15%, P < .001). Applicants in 2021 compared to 2018/2019 more often found SoMe to be useful for making decisions about applying to (33% vs 10%), interviewing at (26% vs 7%), and ranking programs (20% vs 9%) (all P < .05). Twitter was the most common platform for applicants to access program information, increasing from 38% to 71%.

CONCLUSION

The COVID-19 pandemic ushered in a period of unprecedented SoMe usage among urology applicants, who used it to learn about and connect with residency programs in new ways. The use of SoMe by residency programs has become an important component of trainee recruitment and is likely to continue in the future.

Evidence-based quality and accuracy of YouTube videos about nephrolithiasis

OBJECTIVE

To assess the quality and accuracy of online videos about the medical management of nephrolithiasis.

MATERIALS AND METHODS

To evaluate trends in online interest, we first examined the frequency of worldwide YouTube searches for 'kidney stones' from 2015 to 2020. We then queried YouTube with terms related to symptoms and treatment of kidney stones and analysed English-language videos with >5000 views. Quality was assessed using the validated DISCERN instrument. Evidence-based content analysis of video content and viewer comments was performed.

RESULTS

Online searches for videos about kidney stones doubled between 2015 and 2019 (P < 0.001). We analysed 102 videos with a median (range) number of views of 46 539 (5024-3 631 322). The mean (sd) DISCERN score was 3.0 (1.4) out of 5, indicating 'moderate' quality; scores were significantly higher for the 21 videos (21%) authored by academic hospitals (mean 3.7 vs 2.8, P = 0.02). Inaccurate or non-evidence-based claims were identified in 23 videos (23%); none of the videos authored by academic institutions contained inaccurate claims. Videos with inaccurate statements had more than double the viewer engagement (viewer-generated comments, 'thumbs up' and 'thumbs down' ratings) compared to videos without inaccuracies (P < 0.001). Among viewer comments, 43 videos (43%) included comments with inaccurate or non-evidence-based claims, and a large majority (82 videos, 80%) had 'chatbot' recommendations.

CONCLUSIONS

Interest in YouTube videos about nephrolithiasis has doubled since 2015. While highly viewed videos vary widely in quality and accuracy, videos produced by academic hospitals have significantly fewer inaccurate claims. Given the high prevalence of stone disease and poor-quality videos, patients should be directed to evidence-based content online.