Literature DB >> 34337533

Reply to Tommy Jiang, Sriram V. Eleswarapu, and Vadim Osadchiy's Letter to the Editor re: Patrick Lewicki, Spyridon P. Basourakos, Bashir Al Hussein Al Awamlh, et al. Estimating the Impact of COVID-19 on Urology: Data from a Large Nationwide Cohort. Eur Urol Open Sci 2021;25:52-6. Impact of the COVID-19 Pandemic on Kidney Stones: Matching Online Discussions to Real World Data.

Patrick Lewicki1, Spyridon P Basourakos1, Bashir Al Hussein Al Awamlh1, Xian Wu2, Jim C Hu1, Peter N Schlegel1, Jonathan E Shoag1,3.   

Abstract

Entities:  

Year:  2021        PMID: 34337533      PMCID: PMC8317788          DOI: 10.1016/j.euros.2021.05.005

Source DB:  PubMed          Journal:  Eur Urol Open Sci        ISSN: 2666-1683


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We read with great interest about the work by Jiang et al, which connects our findings from a large administrative database [1] to data from a patient forum on kidney stones [2]. Their study provides a plausible explanation for our findings and helps in understanding the various factors underpinning the decrease in urologic care observed across all US geographic regions in the early stages of the COVID-19 pandemic. Investigating epidemiologic phenomena using a variety of different sources, from “big data” analyses to patient reports and single-institution experiences, improves our ability to refine hypotheses, with the referenced work as a strong example. Jiang et al have built on earlier studies looking at social media use amongst urology patients [3], [4], in this case in the unique setting of the COVID-19 pandemic. Natural language analysis of user comments on Reddit, the second most visited social media website in the USA [5], allowed the group to study the possible misconceptions, fears, and responses that may be magnified through such websites—a process further amplified during the early stages of the COVID-19 outbreak. Research that centers on the intersection of information engagement and modern social media platforms is key to understanding how patients explore and act on health-related data [6]. Again, the pandemic serves as the most prominent health care–related example of patients relying on social media for information and exploring and acting on these data on their own, which may represent a source of misinformation in spite of potential benefits [7]. The work by Jiang et al suggests that patient concerns and anxiety related to in-person encounters, procedures, and emergency room visits may be responsible for the decrease in urology encounter volume observed in our data, particularly given that the observations seemed to be independent of the geographic spread of the COVID-19 pandemic. While we suspect that this trend would generalize to subspecialties within urology, we would be curious to know to what extent patient anxiety was responsible for observed changes in, for example, urologic oncology, where intervention may be more imperative but symptoms less immediately impactful. Social media data may also allow us to understand the influence of rapidly expanding telemedicine on patient behavior during this time [8]. Several questions remain with respect to the impact of the COVID-19 pandemic on urology. Importantly, how effective was the triage of urologic conditions? Did harm reach patients because of over- or under-triaging? Will COVID-19 cause long-lasting changes in the structure of urology practice? Data from the months and years following the early stages of the pandemic will be necessary to fully answer these and other questions. In the meantime, impactful work such as that presented here helps us to understand shortcomings and points for improvement not just for future disaster management but also for patient-centered care as a whole. : The authors have nothing to disclose. Jonathan E. Shoag is supported by the Frederick J. and Theresa Dow Foundation of the New York Community Trust and a Damon Runyon Cancer Research Foundation Physician Scientist Training Award. Jim C. Hu is supported by the Frederick J. and Theresa Dow Foundation of the New York Community Trust, and PCORI (CER-2019C1-15682, CER-2019C2-17372) and NCI (R01 CA241758) grants. The sponsors played no direct role in the study.
  7 in total

Review 1.  Social Media Analytics: What You Need to Know as a Urologist.

Authors:  Jeremy Yuen-Chun Teoh; Graham Mackenzie; Leonardo Tortolero; Juan Gomez Rivas
Journal:  Eur Urol Focus       Date:  2019-08-28

2.  'Fake News' in urology: evaluating the accuracy of articles shared on social media in genitourinary malignancies.

Authors:  Muhannad Alsyouf; Phillip Stokes; Dan Hur; Akin Amasyali; Herbert Ruckle; Brian Hu
Journal:  BJU Int       Date:  2019-05-02       Impact factor: 5.588

Review 3.  Prostate cancer and social media.

Authors:  Stacy Loeb; Matthew S Katz; Aisha Langford; Nataliya Byrne; Shannon Ciprut
Journal:  Nat Rev Urol       Date:  2018-07       Impact factor: 14.432

4.  Use of Telehealth by Surgical Specialties During the COVID-19 Pandemic.

Authors:  Grace F Chao; Kathleen Y Li; Ziwei Zhu; Jeff McCullough; Mike Thompson; Jake Claflin; Maximilian Fliegner; Emma Steppe; Andrew Ryan; Chad Ellimoottil
Journal:  JAMA Surg       Date:  2021-07-01       Impact factor: 14.766

5.  Estimating the Impact of COVID-19 on Urology: Data from a Large Nationwide Cohort.

Authors:  Patrick Lewicki; Spyridon P Basourakos; Bashir Al Hussein Al Awamlh; Xian Wu; Jim C Hu; Peter N Schlegel; Jonathan E Shoag
Journal:  Eur Urol Open Sci       Date:  2021-01-18

Review 6.  What social media told us in the time of COVID-19: a scoping review.

Authors:  Shu-Feng Tsao; Helen Chen; Therese Tisseverasinghe; Yang Yang; Lianghua Li; Zahid A Butt
Journal:  Lancet Digit Health       Date:  2021-01-28

7.  Impact of the COVID-19 pandemic on patient preferences and decision-making for symptomatic urolithiasis.

Authors:  Tommy Jiang; Vadim Osadchiy; James M Weinberger; Michael H Zheng; Michael H Owen; Sarah A Leonard; Jesse N Mills; Naveen Kachroo; Sriram V Eleswarapu
Journal:  J Endourol       Date:  2021-01-21       Impact factor: 2.942

  7 in total

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