ALL Metrics
-
Views
-
Downloads
Get PDF
Get XML
Cite
Export
Track
Brief Report

COVID-19 testing capabilities at urgent care centers in states with greatest disease burden

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 04 May 2020
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS

This article is included in the Emerging Diseases and Outbreaks gateway.

This article is included in the Coronavirus (COVID-19) collection.

Abstract

While rapid and accessible diagnosis is paramount to monitoring and reducing the spread of disease, COVID-19 testing capabilities across the U.S. remain constrained. For many individuals, urgent care centers (UCCs) may offer the most accessible avenue to be tested. Through a phone survey, we describe the COVID-19 testing capabilities at UCCs and provide a snapshot highlighting the limited COVID-19 testing capabilities at UCCs in states with the greatest disease burden.

Keywords

COVID-19, urgent care center, testing, health services

Introduction

While rapid and accessible COVID-19 diagnosis is paramount to monitoring and reducing the spread of disease, COVID-19 testing capabilities across the U.S. remain constrained. For many individuals, urgent care centers (UCCs) may offer the most accessible avenue to be tested. Using a phone survey, we describe the COVID-19 testing capabilities of UCCs in states with the greatest disease burden.

Methods

Our study received non-human research IRB exemption from the Yale School of Medicine and participant consent was not required. We identified ten states with the highest COVID-19 caseload as of March 19, 2020 according to the Centers for Disease Control (CDC)1. Using the Urgent Care Association “Find an Urgent Care” directory, we identified all UCCs within the state of interest and assigned each UCC a numeric identifier. A random number generator was used to select for a convenience sample of 25 UCCs per state. If the UCC was not able to be contacted, a new UCC was randomly selected and called. UCCs were classified into independent, hospital/health network, and academic categories.

Using a standardized survey script (Figure 1), trained investigators asked UCC receptionists about COVID-19 testing ability, testing criteria, time to test results, costs of tests and visits for insured/uninsured patients, and test referrals. All 250 calls were made on March 20, 2020 and were limited to 1 minute to minimize occupying clinic resources.

bbc2003f-129b-4089-aeda-7e71e9faf7a2_figure1.gif

Figure 1. Urgent care center survey script.

Results

Of 250 UCCs contacted, 57 (22.8%) offered COVID-19 testing. Hospital/health network-affiliated UCCs were more likely to offer COVID-19 tests compared to independent UCCs (odds ratio 3.69, 95% confidence interval 1.94–7.01, p<0.0001).

Of UCCs that offered testing, 56 (98.2%) required the patient to be symptomatic (typically fever and respiratory symptoms) and 2 (0.4%) required a primary care physician referral. In total, 45 (86.5%) UCCs charged a fee to test uninsured patients, but no UCC could provide a definitive answer regarding test fees for insured patients given the shifting federal legislation. A total of 53 (94.6%) UCCs charged a visit fee in addition to the COVID-19 lab test fee. For the 49 centers that provided the wait time for test results, the median time was 120 hours (interquartile range 96 hours to 144 hours).

Of UCCs that did not offer testing, 97 (51.3%) referred individuals to other clinics that could possibly test for COVID-19, and 37 (24.8%) directly referred individuals to a specific emergency department. Individual-level results for each UCC are available as Underlying data2.

Discussion

In the 10 states with the greatest COVID-19 caseload, only 23% of UCCs offered COVID-19 testing. Additionally, results would take approximately five days to be processed. Although time to test results at public/state labs are typically 24–48 hours (Table 1), time to test results at UCCs were longer as most samples are sent to external labs. However, it remains unclear whether UCC ability to obtain test samples may be unmatched by the ability to process tests. This finding underscores the importance of point-of-care testing that can rapidly detect COVID-19, particularly because severe disease peaks at approximately ten days from onset of initial symptoms3.

Table 1. COVID-19 testing capabilities by state.

UCCs offering tests,
n (%)
Average time to test results
at UCC, hours
Average time to test results at
state or public health lab, hours*
California1 (4%)N/A48–72
Colorado2 (8%)10872
Florida7 (28%)9624–48
Georgia2 (8%)120N/A
Illinois6 (24%)11824
Louisiana4 (16%)138N/A
Massachusetts9 (36%)139.224
New Jersey7 (28%)124.524–48
New York10 (40%)115.23–5
Washington9 (36%)9124–48

*Time to results at state/public health labs obtained from the respective state’s Department of Public Health website as of March 20.

Fees and cost-sharing for COVID-19 tests remain unclear. The Families First Coronavirus Response Act, which passed on March 18, mandated all group and individual health plans cover COVID-19 testing and gave states the option to use Medicaid coverage for testing uninsured patients4. Although this study could not definitively define test fees, most UCCs stated they would charge test fees, contrary to recent federal regulations, in addition to fees for the urgent care visit itself as of March 20. Test and visit fees at UCCs may discourage patients from seeking COVID-19 testing.

This report has limitations. The small number of UCCs contacted per state may not accurately represent the state’s urgent care climate. Additionally, the rapidly changing nature of the COVID-19 pandemic may affect these findings. However, this study serves as an important snapshot that highlights the limited COVID-19 testing capabilities at UCCs in the most heavily burdened states.

Data availability

Underlying data

Harvard Dataverse: COVID-19 Testing Capabilities at Urgent Care Centers in States with Greatest Disease Burden. https://doi.org/10.7910/DVN/SJSNZ64.

This project contains the individual-level responses of each urgent care center to each question from the call script (JMP and XLSX file formats.

Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 04 May 2020
Comment
Author details Author details
Competing interests
Grant information
Copyright
Download
 
Export To
metrics
Views Downloads
F1000Research - -
PubMed Central
Data from PMC are received and updated monthly.
- -
Citations
CITE
how to cite this article
Hsiang W, Forman H, Jain S et al. COVID-19 testing capabilities at urgent care centers in states with greatest disease burden [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:328 (https://doi.org/10.12688/f1000research.23203.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
track
receive updates on this article
Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status: ?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions
Version 1
VERSION 1
PUBLISHED 04 May 2020
Views
38
Cite
Reviewer Report 30 Jul 2020
Buqing Liang, Department of Neurosurgery, Baylor Scott & White Medical Center, Temple, TX, UK 
Approved with Reservations
VIEWS 38
In this study, the authors conducted a phone interview to investigate the COVID-19 testing capabilities at urgent care centers in states with the greatest disease burden. This is an interesting and meaningful topic, especially during this pandemic crisis. However, there are ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Liang B. Reviewer Report For: COVID-19 testing capabilities at urgent care centers in states with greatest disease burden [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:328 (https://doi.org/10.5256/f1000research.25614.r68237)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 24 Nov 2020
    Walter Hsiang, Yale School of Management, New Haven, 06511, USA
    24 Nov 2020
    Author Response
    How did the authors validate the data from the UCCs to ensure no wrong information was conveyed? Even at the same center, two receptionists may give different answers to the ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 24 Nov 2020
    Walter Hsiang, Yale School of Management, New Haven, 06511, USA
    24 Nov 2020
    Author Response
    How did the authors validate the data from the UCCs to ensure no wrong information was conveyed? Even at the same center, two receptionists may give different answers to the ... Continue reading
Views
38
Cite
Reviewer Report 21 Jul 2020
Siddharth Sridhar, Department of Microbiology, University of Hong Kong, Pokfulam, Hong Kong 
Approved
VIEWS 38
This study provides a snapshot of the COVID-19 testing landscape in ambulatory clinics in the United States in March 2020. Overall, only 22.8% of UCCs offered COVID-19 testing. Turn around time was up to several days in several centres. 
... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Sridhar S. Reviewer Report For: COVID-19 testing capabilities at urgent care centers in states with greatest disease burden [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2020, 9:328 (https://doi.org/10.5256/f1000research.25614.r67613)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 24 Nov 2020
    Walter Hsiang, Yale School of Management, New Haven, 06511, USA
    24 Nov 2020
    Author Response
    This data is now 4 months old. While it would be too much to ask to repeat the survey, it would be good if the authors can provide any available updates on ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 24 Nov 2020
    Walter Hsiang, Yale School of Management, New Haven, 06511, USA
    24 Nov 2020
    Author Response
    This data is now 4 months old. While it would be too much to ask to repeat the survey, it would be good if the authors can provide any available updates on ... Continue reading

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 04 May 2020
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.