Evidence map›Paper›PMID 34674791›Full record

ArticleInfection control and hospital epidemiology2022

Cost-effectiveness of carbapenem-resistant Enterobacteriaceae (CRE) surveillance in Maryland.

Gary Lin, Katie K Tseng, Oliver Gatalo, Diego A Martinez, Jeremiah S Hinson, Aaron M Milstone, Scott Levin, Eili Klein, CDC Modeling Infectious Diseases in Healthcare Program

Open access · hybridAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Gary LinCenter for Disease Dynamics, Economics & Policy, Silver Spring, Maryland, United States.ORCID 0000-0002-2269-1135
Katie K TsengCenter for Disease Dynamics, Economics & Policy, Silver Spring, Maryland, United States.
Oliver GataloCenter for Disease Dynamics, Economics & Policy, Silver Spring, Maryland, United States.
Diego A MartinezSchool of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.ORCID 0000-0003-3236-2471
Jeremiah S HinsonDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0002-2024-2360
Aaron M MilstoneDivision of Pediatric Infectious Diseases, Department of Pediatrics, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0001-8498-8682
Scott LevinDepartment of Emergency Medicine, Johns Hopkins University, Baltimore, Maryland, United States.ORCID 0000-0002-7143-7635
Eili KleinCenter for Disease Dynamics, Economics & Policy, Silver Spring, Maryland, United States.ORCID 0000-0002-1304-5289
CDC Modeling Infectious Diseases in Healthcare Program
Center for Disease Dynamics, Economics & Policy · USJohns Hopkins University · USPontificia Universidad Católica de Valparaíso · CL

Funding

NCEZID CDC HHS U01 CK000536NCEZID CDC HHS U01 CK000589
6 · The paper itself

Abstract

objectiveWe analyzed the efficacy, cost, and cost-effectiveness of predictive decision-support systems based on surveillance interventions to reduce the spread of carbapenem-resistant Enterobacteriaceae (CRE).

designWe developed a computational model that included patient movement between acute-care hospitals (ACHs), long-term care facilities (LTCFs), and communities to simulate the transmission and epidemiology of CRE. A comparative cost-effectiveness analysis was conducted on several surveillance strategies to detect asymptomatic CRE colonization, which included screening in ICUs at select or all hospitals, a statewide registry, or a combination of hospital screening and a statewide registry.

settingWe investigated 51 ACHs, 222 LTCFs, and skilled nursing facilities, and 464 ZIP codes in the state of Maryland. PATIENTS OR

participantsThe model was informed using 2013-2016 patient-mix data from the Maryland Health Services Cost Review Commission. This model included all patients that were admitted to an ACH.

resultsOn average, the implementation of a statewide CRE registry reduced annual CRE infections by 6.3% (18.8 cases). Policies of screening in select or all ICUs without a statewide registry had no significant impact on the incidence of CRE infections. Predictive algorithms, which identified any high-risk patient, reduced colonization incidence by an average of 1.2% (3.7 cases) without a registry and 7.0% (20.9 cases) with a registry. Implementation of the registry was estimated to save $572,000 statewide in averted infections per year.

conclusionsAlthough hospital-level surveillance provided minimal reductions in CRE infections, regional coordination with a statewide registry of CRE patients reduced infections and was cost-effective.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCross InfectionEnterobacteriaceae InfectionsAnti-Bacterial AgentsCost-Benefit AnalysisHumansMarylandAnti-Bacterial Agents

Identifiers

PMID34674791
PMCPMC9023597
OpenAlexW3205290422

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.