Evidence map›Paper›PMID 39915083›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

Comparison of syndromic surveillance and hospital discharge data for unintentional drowning in metropolitan Houston, Texas, USA.

Nicholas Peoples, Jennifer L Jones, Elizabeth A Camp, Ned Norman Levine, Rohit P Shenoi

Abstract readComparative Study
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

5 authors.

Nicholas PeoplesBaylor College of Medicine, Houston, Texas, USA.
Jennifer L JonesBaylor College of Medicine, Houston, Texas, USA.
Elizabeth A CampBaylor College of Medicine, Houston, Texas, USA.
Ned Norman LevineNed Levine and Associates, Houston, Texas, USA.ORCID 0000-0002-1053-2663
Rohit P ShenoiPediatrics, Baylor College of Medicine, Houston, Texas, USA rshenoi@bcm.edu.ORCID 0000-0002-7518-7223

Funding

NCIPC CDC HHS U01 CE003504
6 · The paper itself

Abstract

backgroundSyndromic surveillance, which provides real-time data, may provide timely drowning surveillance compared with hospital discharge data where the release of data may be delayed. We compared data on hospital visits for unintentional drowning identified in hospital discharge and syndromic surveillance data sets for accuracy and completeness.

methodsWe compared data for hospital visits for unintentional drowning identified in the Texas Health Care Information Collection hospital discharge and syndromic surveillance data sets for metropolitan Houston, Texas, USA from 2019 to 2021. Hospital visits included emergency department-only visits and hospital admissions. We compared time-series visualisation of hospital visits between data sets. Injury burden, demographics and intercounty distribution of drowning patients were compared using the Pearson correlation coefficient for continuous data and the Pearson χ

resultsWe identified 860 hospital discharge visits and 929 syndromic surveillance visits (quarterly median (IQR): 64.0 (26.8-117.5); 54.5 (28.0-132.3), respectively) for unintentional drowning. Time-series visualisation showed a high correlation between syndromic surveillance and hospital discharge visits (correlation coefficient: 0.93 (95% CI: 0.77 to 0.98)). There were small differences by race, ethnicity and county for all ages and for paediatrics and large differences by sex for all ages in the number of unintentional drowning hospital visits identified within the data sets.

conclusionsRegional unintentional drowning burden and trends are highly correlated between syndromic surveillance and hospital discharge data. Small differences by race, ethnicity and county and large differences by sex in the number of unintentional drowning hospital visits were identified between data sets. Syndromic surveillance is useful for real-time surveillance of unintentional drowning.

Indexed as

DrowningEmergency Service, HospitalPatient DischargePopulation SurveillanceAdolescentAdultAgedChildChild, PreschoolFemaleHospitalizationHumansInfantMaleMiddle AgedTexasDescriptive EpidemiologyDrowningSurveillance

Identifiers

PMID39915083
PMCPMC11925658

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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.