Evidence map›Paper›PMID 25627757›Full record

ArticleInfection control and hospital epidemiology2015

Cost-effectiveness of strategies to prevent methicillin-resistant Staphylococcus aureus transmission and infection in an intensive care unit.

Courtney A Gidengil, Charlene Gay, Susan S Huang, Richard Platt, Deborah Yokoe, Grace M Lee

Open access · greenAbstract readComparative Study
In one paragraph

Article in Infection control and hospital epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
5.6field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Methicillin-resistantAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
    Article
  7. Review
  8. Article
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  15. Chlorhexidine: Patient Bathing and Infection Prevention.Current infectious disease reports · 2016
    Review
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  17. Article
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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 5 institutions in 1 country.

Courtney A Gidengil1RAND Corporation,Boston,Massachusetts.
Charlene Gay3Center for Child Health Care Studies,Harvard Pilgrim Health Care Institute and Harvard Medical School,Boston,Massachusetts.
Susan S Huang4Division of Infectious Diseases and Health Policy Research Institute,University of California Irvine School of Medicine,Irvine,California.
Richard Platt5Department of Population Medicine,Harvard Pilgrim Health Care Institute and Harvard Medical School,Boston,Massachusetts.
Deborah Yokoe6Division of Infectious Diseases,Brigham and Women's Hospital and Harvard Medical School,Boston,Massachusetts.
Grace M Lee2Division of Infectious Diseases,Boston Children's Hospital and Harvard Medical School,Boston,Massachusetts.
Harvard Pilgrim Health Care · USBrigham and Women's Hospital · USHarvard University · USRAND Corporation · USUniversity of California, Irvine · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NCPDCID CDC HHS U01 CI000344NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

OBJECTIVE To create a national policy model to evaluate the projected cost-effectiveness of multiple hospital-based strategies to prevent methicillin-resistant Staphylococcus aureus (MRSA) transmission and infection. DESIGN Cost-effectiveness analysis using a Markov microsimulation model that simulates the natural history of MRSA acquisition and infection. PATIENTS AND SETTING Hypothetical cohort of 10,000 adult patients admitted to a US intensive care unit. METHODS We compared 7 strategies to standard precautions using a hospital perspective: (1) active surveillance cultures; (2) active surveillance cultures plus selective decolonization; (3) universal contact precautions (UCP); (4) universal chlorhexidine gluconate baths; (5) universal decolonization; (6) UCP + chlorhexidine gluconate baths; and (7) UCP+decolonization. For each strategy, both efficacy and compliance were considered. Outcomes of interest were: (1) MRSA colonization averted; (2) MRSA infection averted; (3) incremental cost per colonization averted; (4) incremental cost per infection averted. RESULTS A total of 1989 cases of colonization and 544 MRSA invasive infections occurred under standard precautions per 10,000 patients. Universal decolonization was the least expensive strategy and was more effective compared with all strategies except UCP+decolonization and UCP+chlorhexidine gluconate. UCP+decolonization was more effective than universal decolonization but would cost $2469 per colonization averted and $9007 per infection averted. If MRSA colonization prevalence decreases from 12% to 5%, active surveillance cultures plus selective decolonization becomes the least expensive strategy. CONCLUSIONS Universal decolonization is cost-saving, preventing 44% of cases of MRSA colonization and 45% of cases of MRSA infection. Our model provides useful guidance for decision makers choosing between multiple available hospital-based strategies to prevent MRSA transmission.

Indexed as

Methicillin-Resistant Staphylococcus aureusAdultAnti-Bacterial AgentsAnti-Infective Agents, LocalCarrier StateChlorhexidineCost-Benefit AnalysisHealth PolicyHospital CostsHumansInfection ControlIntensive Care UnitsMarkov ChainsModels, EconomicPopulation SurveillanceStaphylococcal InfectionsAnti-Bacterial AgentsAnti-Infective Agents, LocalChlorhexidinechlorhexidine gluconate

Identifiers

PMID25627757
PMCPMC4311265
OpenAlexW2171240959

What OpenQuestion holds

Textmetadata
LicenceTDM
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.