Evidence map›Paper›PMID 20706168›Full record

ReviewMedical care2010

Factors associated with variation in estimates of the cost of resistant infections.

Bevin Cohen, Elaine L Larson, Patricia W Stone, Matthew Neidell, Sherry A Glied

Abstract readReview
In one paragraph

Review in Medical care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Analysis of the Microbiota of the Physiotherapist's Environment.Archives of physical medicine and rehabilitation · 2020
    Observational
  3. Article
  4. Article
  5. Review
  6. Antimicrobial Resistance in the Asia Pacific region: a meeting report.Antimicrobial resistance and infection control · 2019
    Article
  7. Article
  8. Article
  9. Costs of healthcare- and community-associated infections with antimicrobial-resistant versus antimicrobial-susceptible organisms.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2012
    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

5 authors.

Bevin CohenCenter for Interdisciplinary Research to Reduce Antimicrobial Resistance, Columbia University School of Nursing, New York, NY 10032, USA. bac2116@columbia.edu
Elaine L Larson
Patricia W Stone
Matthew Neidell
Sherry A Glied

Funding

Health Information Technology to Reduce Healthcare-Associated Infections: HIT-HAIR01NR010822 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LARSON, ELAINE LUCILLE · 2007 to 2015
$3.0M
NINR NIH HHS R01 NR010822
6 · The paper itself

Abstract

backgroundExisting estimates of the costs of antimicrobial resistance exhibit broad variability, and the contributing factors are not well understood. This study examines factors that contribute to variation in these estimates.

methodsStudies of the costs of resistant infections (1995-2009) were identified, abstracted, and stated in comparable terms (eg, converted to 2007 U.S. dollars). Linear regressions were conducted to assess how costs incurred by patients with resistant infections versus those incurred by uninfected or susceptible-organism-infected controls varied according to (1) costs incurred by control subjects; (2) study population characteristics; (3) methodological factors (eg, matching); and (4) length of stay.

resultsEstimates of difference in costs incurred by patients with resistant infections versus patients without resistant infections varied between $-27,609 (control costs exceeded case costs) and $126,856. Differences were greater when the costs incurred by control subjects were higher (ie, when the underlying cost of care was high). Study-adjusted cost differences were greater for bloodstream infections (vs. any other infection site), for studies that reported median (vs. mean) costs, for studies that reported total (vs. postinfection or infection-associated) costs, for studies that used uninfected (vs. susceptible-organism-infected) controls, and for studies that did not match or adjust for length of stay before infection.

conclusionThe cost of antimicrobial resistance seems to vary with the underlying cost of care. Increased costs of resistance are partially explained by longer length of stay for patients with resistant infections. Further research is needed to assess whether interventions should be differentially targeted at the highest cost cases.

Indexed as

Drug Resistance, MicrobialHospital CostsHumansInfectionsLength of StayLinear Models

Identifiers

PMID20706168
PMCPMC2924922

What OpenQuestion holds

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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.