Evidence map›Paper›PMID 33429245›Full record

ArticleSexual medicine2021

Examining Online Traffic Patterns to Popular Direct-To-Consumer Websites for Evaluation and Treatment of Erectile Dysfunction.

Joel J Wackerbarth, Richard J Fantus, Annie Darves-Bornoz, Marah C Hehemann, Brian T Helfand, Mary Kate Keeter, Robert E Brannigan, Nelson E Bennett, Joshua A Halpern

Open access · goldAbstract read
In one paragraph

Article in Sexual medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  16. Testosterone replacement therapy in the era of telemedicine.International journal of impotence research · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Joel J WackerbarthSection of Urology, Department of Surgery, University of Chicago Medicine, Chicago, IL, USA; Department of Surgery, NorthShore University Health System, Evanston, IL, USA.
Richard J FantusSection of Urology, Department of Surgery, University of Chicago Medicine, Chicago, IL, USA; Department of Surgery, NorthShore University Health System, Evanston, IL, USA.
Annie Darves-BornozDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Marah C HehemannDepartment of Surgery, NorthShore University Health System, Evanston, IL, USA.
Brian T HelfandDepartment of Surgery, NorthShore University Health System, Evanston, IL, USA.
Mary Kate KeeterDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Robert E BranniganDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Nelson E BennettDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Joshua A HalpernDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Electronic address: joshua.halpern@northwestern.edu.
Northwestern University · USNorthShore University HealthSystem · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDirect-to-consumer (DTC) Internet-based prescription and pharmacy platforms offer electronic consultation for evaluation and pharmacologic treatment of erectile dysfunction (ED) without a physical exam or in-person visit, presenting a potentially dramatic shift in care for this condition.

aimTo characterize the extent to which DTC prescribing sites for ED generate traffic and attract individual users.

methodsUsing SEMRush, a marketing software platform that provides analytics regarding website traffic, we examined online site visits to 6 major DTC prescribing websites offering ED evaluation and treatment from October 2017 through December 2019. OUTCOMES: We recorded trends in the number of unique visitors over time, visitor referral patterns, and the proportion of overall visitors to individual sites.

resultsDuring the study period, the total number of unique, quarterly visitors increased by 1,688% from 655,733 in the 4th quarter (Q4) 2017 to over 11 million in Q4 2019. In 2019, there were on average 4,971,674 visits to all sites combined each month. For the 2 largest sites (Hims and Roman), visitors predominantly reached the site via direct web address (27.3%) or search engine referral (27.3%). CLINICAL IMPLICATIONS: An increasingly large number of potential patients are utilizing DTC prescribing platforms for the diagnosis and treatment of ED, which do not require physical exams or treatment of other comorbid conditions. STRENGTH & LIMITATIONS: Demonstrates high demand for ED DTC prescribing services using independent market research software and characterizes the number of visits for the first time. Limitations include the lack of individual demographics and lack of information regarding what proportion of unique visits lead to evaluation and treatment using the services.

conclusionThe dramatic increase in visits to DTC prescribing sites that treat ED represents a paradigm shift in ED care, and it is imperative that clinicians and researchers work to understand how patients utilize online telemedicine, the safety and efficacy of online management of ED, and the potential downstream implications of its widespread use. Wackerbarth JJ, Fantus RJ, Darves-Bornoz A, et al. Examining Online Traffic Patterns to Popular Direct-To-Consumer Websites for Evaluation and Treatment of Erectile Dysfunction. Sex Med 2021;9:100289.

Indexed as

Erectile DysfunctionMen’s HealthTelemedicine

Identifiers

PMID33429245
PMCPMC7930859
OpenAlexW3119557448

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.