Evidence map›Paper›PMID 17238445›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006

Timeliness of emergency department diagnoses for syndromic surveillance.

Debbie Travers, Clifton Barnett, Amy Ising, Anna Waller

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. A Review of Data Quality Assessment in Emergency Medical Services.The open medical informatics journal · 2018
    Review
  4. Article
  5. Implementation of Emergency Medical Text Classifier for syndromic surveillance.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
  6. Syndromic surveillance: early results from the MARISSA project.WMJ : official publication of the State Medical Society of Wisconsin · 2009
    Article
  7. Article
  8. Article
  9. 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

4 authors.

Debbie TraversEmergency Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Clifton Barnett
Amy Ising
Anna Waller

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency Department (ED) data are key components of syndromic surveillance systems. While diagnosis data are widely available in electronic form from EDs and have been shown to be an accurate source of clinical data for syndromic surveillance, our previous survey of North Carolina EDs found that the data were not available in a timely manner for early detection. The purpose of this study was to measure the time of availability of participating EDs' diagnosis data in a state-based syndromic surveillance system. We found that a majority of the ED visits transmitted to the state surveillance system for 12/1/05 did not have a diagnosis until more than a week after the visit. Reasons for the lack of timely transmission of diagnoses included coding delays, logistical issues and the lack of IT personnel at smaller hospitals.

Indexed as

Disease OutbreaksEmergency Service, HospitalPopulation SurveillanceBioterrorismCommunicable DiseasesCommunicable Diseases, EmergingDisease NotificationHealth Care SurveysHumansInternational Classification of DiseasesMandatory ProgramsNorth CarolinaProspective StudiesTime Factors

Identifiers

PMID17238445
PMCPMC1839358

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.