Evidence map›Paper›PMID 28379784›Full record

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

Evaluation of Diagnostic Codes in Morbidity and Mortality Data Sources for Heat-Related Illness Surveillance.

Laurel Harduar Morano, Sharon Watkins

Open access · bronzeAbstract 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 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 25% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  10. One day of environment-induced heat stress damages the murine myocardium.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  11. Article
  12. Biological sex impacts oxidative stress in skeletal muscle in a porcine heat stress model.American journal of physiology. Regulatory, integrative and comparative physiology · 2024
    Article
  13. Article
  14. Emergency Department Visits for Heat-Related Emergency Conditions in the United States from 2008-2020.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Integrating Public Health into Climate Change Policy and Planning: State of Practice Update.International journal of environmental research and public health · 2019
    Review
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

2 authors at 2 institutions in 1 country.

Laurel Harduar Morano1 Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sharon Watkins2 Bureau of Epidemiology, Pennsylvania Department of Health, Harrisburg, PA, USA.
Pennsylvania Department of Health · USUniversity of North Carolina at Chapel Hill · US

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Occupational Safety and Health and Education Research CenterT42OH008673 · OH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NYLANDER-FRENCH, LEENA A · 2005 to 2025
$27.3M
BUILDLING COMMUNITY RESILIENCE IN FLORIDA THROUGH ADAPTATION AND MITIGATIONUE1EH001047 · EH · FLORIDA STATE DEPARTMENT OF HEALTH · PI WATKINS, SHARON MARIE · 2012 to 2015
$957k
ACL HHS T42OH008673NCEH CDC HHS UE1 EH001047NIEHS NIH HHS T32 ES007018NIOSH CDC HHS T42 OH008673
6 · The paper itself

Abstract

objectivesThe primary objective of this study was to identify patients with heat-related illness (HRI) using codes for heat-related injury diagnosis and external cause of injury in 3 administrative data sets: emergency department (ED) visit records, hospital discharge records, and death certificates.

methodsWe obtained data on ED visits, hospitalizations, and deaths for Florida residents for May 1 through October 31, 2005-2012. To identify patients with HRI, we used codes from the International Classification of Diseases, Ninth Revision, Clinical Modification ( ICD-9-CM) to search data on ED visits and hospitalizations and codes from the International Classification of Diseases, Tenth Revision ( ICD-10) to search data on deaths. We stratified the results by data source and whether the HRI was work related.

resultsWe identified 23 981 ED visits, 4816 hospitalizations, and 140 deaths in patients with non-work-related HRI and 2979 ED visits, 415 hospitalizations, and 23 deaths in patients with work-related HRI. The most common diagnosis codes among patients were for severe HRI (heat exhaustion or heatstroke). The proportion of patients with a severe HRI diagnosis increased with data source severity. If ICD-9-CM code E900.1 and ICD-10 code W92 (excessive heat of man-made origin) were used as exclusion criteria for HRI, 5.0% of patients with non-work-related deaths, 3.0% of patients with work-related ED visits, and 1.7% of patients with work-related hospitalizations would have been removed.

conclusionsUsing multiple data sources and all diagnosis fields may improve the sensitivity of HRI surveillance. Future studies should evaluate the impact of converting ICD-9-CM to ICD-10-CM codes on HRI surveillance of ED visits and hospitalizations.

Indexed as

Clinical CodingInternational Classification of DiseasesMorbidityAdolescentAdultFemaleFloridaHeat Stress DisordersHospitalizationHumansInformation Storage and RetrievalMalePopulation SurveillanceYoung Adultheatillnesssurveillance

Identifiers

PMID28379784
PMCPMC5415256
OpenAlexW2605156657

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.