Evidence map›Paper›PMID 26830343›Full record

ArticleBMC public health2016

Missouri K-12 school collection and reporting of school-based syndromic surveillance data: a cross sectional study.

Terri Rebmann, Allison K Kunerth, Alan Zelicoff, Michael B Elliott, Harper F Wieldt

Abstract read
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Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Terri RebmannDepartment of Environmental and Occupational Health, Institute for Biosecurity, Saint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue Room 463, Saint Louis, MO, 63104, USA. rebmannt@slu.edu.
Allison K KunerthDepartment of Environmental and Occupational Health, Institute for Biosecurity, Saint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue Room 463, Saint Louis, MO, 63104, USA. akunerth@slu.edu.
Alan ZelicoffDepartment of Environmental and Occupational Health, Institute for Biosecurity, Saint Louis University, College for Public Health & Social Justice, 3545 Lafayette Avenue Room 463, Saint Louis, MO, 63104, USA. zelicoff@slu.edu.
Michael B ElliottDepartment of Biostatistics, Saint Louis University, College for Public Health & Social Justice, Saint Louis, MO, USA. elliotmb@slu.edu.
Harper F WieldtVilla Duchesne High School, St. Louis, MO, USA. harperwieldt2017@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchool participation in collecting and reporting syndromic surveillance (SS) data to public health officials and school nurses' attitudes regarding SS have not been assessed.

methodsAn online survey was sent to Missouri Association of School Nurses members during the 2013/2014 school year to assess whether K-12 schools were collecting and reporting SS data. Z-scores were used to assess collection versus reporting of SS indicators. Logistic regressions were used to describe factors predicting nurses' collection and reporting of SS indicators: all-cause absenteeism, influenza-like illness and gastrointestinal illness. Univariate predictors were assessed with Chi-Squares.

resultsIn total, 133 school nurses participated (33.6 % response rate). Almost all (90.2 %, n = 120) collect at least one SS indicator; half (49.6 %, n = 66) report at least one. Schools are collecting more SS data than they are reporting to the health department (p < .05 for all comparisons). Determinants of school nurses' collection of SS data included perceived administrative support, and knowledge of collecting and analyzing SS data. The strongest predictive factors for reporting SS data were the perception that the health department was interested in SS data and being approached by the health department to collect SS data.

conclusionSchools are collecting SS indicators at a relatively high rate, yet less than half of the data is reported to public health officials. Findings from this study indicate that public health officials can increase access to school-based SS data by approaching schools about collecting and reporting this important data.

Indexed as

AbsenteeismNursesAdolescentAdultChildCross-Sectional StudiesData CollectionFemaleGastrointestinal DiseasesHumansInfluenza, HumanLogistic ModelsMaleMiddle AgedMissouriPublic Health Surveillance

Identifiers

PMID26830343
PMCPMC4736256

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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.