Evidence map›Paper›PMID 28397261›Full record

SynthesisHealth services research2018

Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis.

Olga Redondo-González, José María Tenías, Ángel Arias, Alfredo J Lucendo

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
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  4. A scoping review of the methodological approaches used in retrospective chart reviews to validate adverse event rates in administrative data.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Spatial Patterns in Hospital-Acquired Infections in Portugal (2014-2017).International journal of environmental research and public health · 2021
    Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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.

Olga Redondo-GonzálezResearch Support Unit, Hospital General La Mancha Centro, Ciudad Real, Spain.ORCID 0000-0003-0964-5668
José María TeníasPreventive Medicine Unit, Pare Jofré Hospital, Valencia, Spain.ORCID 0000-0002-8079-8491
Ángel AriasResearch Support Unit, Hospital General La Mancha Centro, Ciudad Real, Spain.ORCID 0000-0003-1006-0958
Alfredo J LucendoCentro de Investigación Biomédica En Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain.ORCID 0000-0003-1183-1072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo conduct an updated assessment of the validity and reliability of administrative coded data (ACD) in identifying hospital-acquired infections (HAIs).

methodsWe systematically searched three libraries for studies on ACD detecting HAIs compared to manual chart review. Meta-analyses were conducted for prosthetic and nonprosthetic surgical site infections (SSIs), Clostridium difficile infections (CDIs), ventilator-associated pneumonias/events (VAPs/VAEs) and non-VAPs/VAEs, catheter-associated urinary tract infections (CAUTIs), and central venous catheter-related bloodstream infections (CLABSIs). A random-effects meta-regression model was constructed.

resultsOf 1,906 references found, we retrieved 38 documents, of which 33 provided meta-analyzable data (N = 567,826 patients). ACD identified HAI incidence with high specificity (≥93 percent), prosthetic SSIs with high sensitivity (95 percent), and both CDIs and nonprosthetic SSIs with moderate sensitivity (65 percent). ACD exhibited substantial agreement with traditional surveillance methods for CDI (κ = 0.70) and provided strong diagnostic odds ratios (DORs) for the identification of CDIs (DOR = 772.07) and SSIs (DOR = 78.20). ACD performance in identifying nosocomial pneumonia depended on the ICD coding system (DOR

conclusionsAdministrative coded data may not be sufficiently accurate or reliable for the majority of HAIs. Still, subgrouping and algorithmic coding as tools for improving ACD validity deserve further investigation, specifically for prosthetic SSIs. Analyzing a potential lower discriminative ability of ICD-10 coding system is also a pending issue.

Indexed as

Catheter-Related InfectionsClinical CodingClostridium InfectionsCross InfectionHumansIncidencePneumonia, Ventilator-AssociatedRegression AnalysisReproducibility of ResultsSensitivity and SpecificitySurgical Wound InfectionHospital infectionsInternational Classification of Diseasesmeta-analysissurveillancesystematic review

Identifiers

PMID28397261
PMCPMC5980352

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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.