Evidence map›Paper›PMID 33930278›Full record

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

Changes to Timeliness and Completeness of Infectious Disease Reporting in Texas After Implementation of an Epidemiologic Capacity Program.

Kahler W Stone, Marilyn Felkner, Eric Garza, Maria Perez-Patron, Cason D Schmit, Thomas J McDonald, Jennifer A Horney

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). 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

7 authors.

Kahler W Stone5235 Department of Health and Human Performance, Middle Tennessee State University, Murfreesboro, TN, USA.ORCID 0000-0002-1455-2039
Marilyn Felkner12330 Department of Public Health, University of Texas School of Human Ecology, Austin, TX, USA.
Eric Garza8193 Emerging and Acute Infectious Disease Branch, Texas Department of State Health Services, Austin, TX, USA.
Maria Perez-Patron14736 Department of Epidemiology and Biostatistics, Texas A&M School of Public Health, College Station, TX, USA.
Cason D SchmitDepartment of Health Policy and Management, Texas A&M School of Public Health, College Station, TX, USA.
Thomas J McDonaldDepartment of Environmental and Occupational Health, Texas A&M School of Public Health, College Station, TX, USA.
Jennifer A Horney5972 Department of Epidemiology, University of Delaware, Newark, DE, USA.ORCID 0000-0003-3060-0894

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

objectivesThe objective of this study was to characterize the changes in timeliness and completeness of disease case reporting in Texas in response to an increasing number of foodborne illnesses and high-consequence infectious disease investigations and the Texas Department of State Health Services' new state-funded epidemiologist (SFE) program.

methodsWe extracted electronic disease case reporting data on 42 conditions from 2012 through 2016 in all local health department (LHD) jurisdictions. We analyzed data on median time for processing reports and percentage of complete reports across time and between SFE and non-SFE jurisdictions using Mann-Whitney

resultsThe median time of processing improved from 13 days to 10 days from 2012 to 2016, and the percentage of disease case reports that were complete improved from 19.6% to 27.7%. Most reports were for foodborne illnesses; both timeliness (11 to 7 days) and completeness (20.9% to 23.5%) improved for these reports.

conclusionsDisease reporting improvements in timeliness and completeness were associated with the SFE program and its enhancement of epidemiologic capacity. SFEs were shown to improve surveillance metrics in LHDs, even in jurisdictions with a high volume of case reports. Adding epidemiologist positions in LHDs produces a tangible outcome of improved disease surveillance.

Indexed as

Communicable DiseasesFoodborne DiseasesDisease NotificationHumansPopulation SurveillanceTexasdisease reportingepidemiologic capacityepidemiologypublic health practicesurveillance

Identifiers

PMID33930278
PMCPMC9257493

What OpenQuestion holds

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Registered trials

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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.