Evidence map›Paper›PMID 24386075›Full record

ArticlePloS one2013

Healthcare worker contact networks and the prevention of hospital-acquired infections.

Donald E Curtis, Christopher S Hlady, Gaurav Kanade, Sriram V Pemmaraju, Philip M Polgreen, Alberto M Segre

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
  2. Article
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  4. Enhancing Agent-Based Models with Real-Time Movement Data to Assess Impacts of Biosecurity Interventions on Disease Exposure in Healthcare Settings.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  5. Article
  6. Article
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  8. Article
  9. Healthcare personnel interactive pathogen exposure response system.Infection control and hospital epidemiology · 2023
    Article
  10. Article
  11. Article
  12. Use of clinical data to augment healthcare worker contact tracing during the COVID-19 pandemic.Journal of the American Medical Informatics Association : JAMIA · 2021
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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

6 authors at 1 institution in 1 country.

Donald E CurtisDepartment of Computer Science, The University of Iowa, Iowa City, Iowa, United States of America.
Christopher S HladyDepartment of Computer Science, The University of Iowa, Iowa City, Iowa, United States of America.
Gaurav KanadeDepartment of Computer Science, The University of Iowa, Iowa City, Iowa, United States of America.
Sriram V PemmarajuDepartment of Computer Science, The University of Iowa, Iowa City, Iowa, United States of America.
Philip M PolgreenDepartment of Internal Medicine, The University of Iowa, Iowa City, Iowa, United States of America.
Alberto M SegreDepartment of Computer Science, The University of Iowa, Iowa City, Iowa, United States of America.
University of Iowa · US

Funding

Social Networks and the Spread of Influenza and other Nosocomial InfectionsK01AI075089 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M. · 2008 to 2012
$733k
Contact Network Epidemiology of Influenza and Other Nosocomial InfectionsR21AI081164 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M., SEGRE, ALBERTO MARIA · 2009 to 2010
$402k
NIAID NIH HHS K01 AI075089NIAID NIH HHS NIHK01AI075089NIAID NIH HHS NIHR21AI081164NIAID NIH HHS R21 AI081164
6 · The paper itself

Abstract

We present a comprehensive approach to using electronic medical records (EMR) for constructing contact networks of healthcare workers in a hospital. This approach is applied at the University of Iowa Hospitals and Clinics (UIHC)--a 3.2 million square foot facility with 700 beds and about 8,000 healthcare workers--by obtaining 19.8 million EMR data points, spread over more than 21 months. We use these data to construct 9,000 different healthcare worker contact networks, which serve as proxies for patterns of actual healthcare worker contacts. Unlike earlier approaches, our methods are based on large-scale data and do not make any a priori assumptions about edges (contacts) between healthcare workers, degree distributions of healthcare workers, their assignment to wards, etc. Preliminary validation using data gathered from a 10-day long deployment of a wireless sensor network in the Medical Intensive Care Unit suggests that EMR logins can serve as realistic proxies for hospital-wide healthcare worker movement and contact patterns. Despite spatial and job-related constraints on healthcare worker movement and interactions, analysis reveals a strong structural similarity between the healthcare worker contact networks we generate and social networks that arise in other (e.g., online) settings. Furthermore, our analysis shows that disease can spread much more rapidly within the constructed contact networks as compared to random networks of similar size and density. Using the generated contact networks, we evaluate several alternate vaccination policies and conclude that a simple policy that vaccinates the most mobile healthcare workers first, is robust and quite effective relative to a random vaccination policy.

Indexed as

Electronic Health RecordsHealth PersonnelHospitalsCross InfectionHumansSocial NetworkingVaccination

Identifiers

PMID24386075
PMCPMC3875421
OpenAlexW1967782027

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.