Evidence map›Paper›PMID 40166915›Full record

ArticlePublic health reports (Washington, D.C. : 1974)2025

Completeness of Data on Race and Ethnicity and Timeliness of Electronic Case Reports for COVID-19 at 4 Health Care Organizations in Florida, December 2020.

Laura A Conn, Goldie MacDonald, Brandi Campbell, Leah Eisenstein, Allison Culpepper, Shelby Fawaz, Virginia Rieck Warren, Brittney Prahlow, Michael Sheppard, Kelly Carey and 3 more

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Laura A ConnOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-3851-8265
Goldie MacDonaldNational Center for State, Tribal, Local, and Territorial Public Health Infrastructure and Workforce, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-5773-5401
Brandi CampbellBelay Consulting, Atlanta, GA, USA.ORCID 0009-0008-1905-5753
Leah EisensteinFlorida Department of Health, Tallahassee, FL, USA.
Allison CulpepperFlorida Department of Health, Tallahassee, FL, USA.
Shelby FawazFlorida Department of Health, Tallahassee, FL, USA.
Virginia Rieck WarrenFlorida Department of Health, Tallahassee, FL, USA.
Brittney PrahlowFlorida Department of Health, Tallahassee, FL, USA.
Michael SheppardOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Kelly CareyOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Emma SunnasseeOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Hussain YusufOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Matthew D RitcheyOffice of Public Health Data, Surveillance, and Technology, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesElectronic case reporting (eCR), a cornerstone of the Centers for Disease Control and Prevention's (CDC's) Data Modernization Initiative, automates bidirectional information sharing between electronic health records and public health agencies for reportable conditions. eCR grew rapidly in response to the COVID-19 pandemic. CDC and the Florida Department of Health (FDOH) collaborated to compare the completeness and timeliness of eCR with that of traditional reporting methods for COVID-19-related patient encounters at 4 health care organizations in Florida in December 2020.

methodsElectronic initial case reports (eICRs) were matched to corresponding (ie, for same patient encounter) electronic laboratory reports (ELRs) or manually transmitted documents. We extracted and compared selected data from each report type across matched reports for completeness and timeliness.

resultsMost (>98%) eICRs provided earlier notification of COVID-19 to the local public health department than corresponding ELRs or manually transmitted documents. Additionally, eICRs provided more data on race and ethnicity (>90%) than ELRs (71%) or manually transmitted documents (<5%).

conclusionsAdvancing implementation of eCR nationwide may provide more complete and timely case data than ELR or manually transmitted documents to guide public health action.

Indexed as

eCRelectronic case reportingelectronic laboratory reportingELRevaluationpublic health surveillance

Identifiers

PMID40166915
PMCPMC11962915

What OpenQuestion holds

Textmetadata
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.