Patrick Lewicki1, Spyridon P Basourakos1, Bashir Al Hussein Al Awamlh1, Xian Wu2, Jim C Hu1, Peter N Schlegel1, Jonathan E Shoag1,3. 1. Department of Urology, New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY, USA. 2. Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, USA. 3. Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
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.
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
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
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