An Assessment of Symptom and Risk Screening to Determine COVID-19 Testing Eligibility in the State of Georgia, March 2020- April 2020 Open Access

Topf, Katherine (Spring 2021)

Permanent URL: https://etd.library.emory.edu/concern/etds/k643b227c?locale=en
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Abstract

Importance: The emergence of SARS-CoV-2 led to rapid, but limited rollout of diagnostic testing causing the CDC and states to make dynamic decisions on testing eligibility to match available test kits. Historically, symptom based screening and traveler screening have been proven ineffective for determining disease risk, but little is known about how symptom presentation impacted decisions to approve test requests and ultimate test disposition1–4. This study will assess the use of the COVID-19 testing request form at the Georgia Department of Public Health (GDPH) during the first month of the pandemic.

 

Objective: Assess the symptom and risk screening tool developed by GDPH, based on CDC testing eligibility requirements, to determine testing request approval for Georgia Public Health Labs GPHL and provide recommendations for future outbreaks and pandemics.

 

Design: This cross-sectional study was conducted utilizing data obtained from COVID-19 testing requests received between March 5, 2020 and April 11, 2020 to reflect the first iteration of the testing request form used during the COVID-19 pandemic in the state of Georgia.

 

Setting: Study data was collected at healthcare facilities across Georgia.

 

Participants: The sample included all individuals who had COVID-19 testing requests submitted during the study time period.

 

Main Outcomes and Measures: The main outcomes of interest are test request approval or denial, and results of the approved tests. Both outcomes of interest were assessed relative to presenting symptom profiles.

 

Results: In total, there were 4828 test requests approved or denied in this time period. Among all submitted requests, 3712 (80.6%) indicated the patient exhibited coughing. Of approved test requests, 678 (14.0%) tested positive for COVID-19; key symptoms presentation differences between positive and negative tests were rhinorrhea and sore throat. Using factor analysis, we identified a subset of symptoms more likely to be associated with approved test requests and positive tests. Factors were reduced to assess parsimony and further narrow the symptom profiles most common with each outcome level.

 

Conclusion and Relevance: Real time data analysis should be conducted during the early phases of a pandemic. It provides valuable insight that can be used to create evidence-based recommendations to best allocate limited supplies in a pandemic setting.

Table of Contents

Chapter 1 - Introduction: Pg. 6-8

Chapter 2 - Literature Review: Pg. 9-11

Chapter 3 - Manuscript: Pg. 12-28

Chapter 4 - Implications/Recommendations: Pg. 29-31

References: Pg. 32-36

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