Evidence map›Paper›PMID 38967909›Full record

ArticlePharmacoEconomics2024

Measuring the Direct Medical Costs of Hospital-Onset Infections Using an Analogy Costing Framework.

R Douglas Scott, Steven D Culler, James Baggs, Sujan C Reddy, Kara Jacobs Slifka, Shelley S Magill, Sophia V Kazakova, John A Jernigan, Richard E Nelson, Robert E Rosenman and 1 more

Abstract read
In one paragraph

Article in PharmacoEconomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

R Douglas ScottDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA. DScott1@cdc.gov.ORCID 0000-0001-5364-3059
Steven D CullerDepartment of Health Policy and Management, Rollins School of Public Health, Emory University, Atlanta, GA, USA.ORCID 0000-0002-6905-1186
James BaggsDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0003-0757-4683
Sujan C ReddyDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0002-3267-7011
Kara Jacobs SlifkaDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0003-2332-0747
Shelley S MagillDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0003-4748-1000
Sophia V KazakovaDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0002-5783-4829
John A JerniganDivision of Healthcare Quality Promotion, US Centers for Disease Control and Prevention, 1600 Clifton Road, MS H16-3, Atlanta, GA, 30329-4027, USA.ORCID 0000-0001-8163-925X
Richard E NelsonIDEAS Center, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, USA.ORCID 0000-0002-4441-7460
Robert E RosenmanEmeritus professor, The School of Economic Sciences, Washington State University, Pullman, WA, USA.ORCID 0000-0002-3812-5824
Philip R WandschneiderEmeritus professor, The School of Economic Sciences, Washington State University, Pullman, WA, USA.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
NCATS NIH HHS UM1 TR004409
6 · The paper itself

Abstract

backgroundThe majority of recent estimates on the direct medical cost attributable to hospital-onset infections (HOIs) has focused on device- or procedure-associated HOIs. The attributable costs of HOIs that are not associated with device use or procedures have not been extensively studied.

objectiveWe developed simulation models of attributable cost for 16 HOIs and estimated the total direct medical cost, including nondevice-related HOIs in the USA for 2011 and 2015. DATA AND

methodsWe used total discharge costs associated with HOI-related hospitalization from the National Inpatient Sample and applied an analogy costing methodology to develop simulation models of the costs attributable to HOIs. The mean attributable cost estimate from the simulation analysis was then multiplied by previously published estimates of the number of HOIs for 2011 and 2015 to generate national estimates of direct medical costs.

resultsAfter adjusting all estimates to 2017 US dollars, attributable cost estimates for select nondevice-related infections attributable cost estimates ranged from $7661 for ear, eye, nose, throat, and mouth (EENTM) infections to $27,709 for cardiovascular system infections in 2011; and from $8394 for EENTM to $26,445 for central nervous system infections in 2016 (based on 2015 incidence data). The national direct medical costs for all HOIs were $14.6 billion in 2011 and $12.1 billion in 2016. Nondevice- and nonprocedure-associated HOIs comprise approximately 26-28% of total HOI costs.

conclusionResults suggest that nondevice- and nonprocedure-related HOIs result in considerable costs to the healthcare system.

Indexed as

Cross InfectionHealth Care CostsHospitalizationModels, EconomicComputer SimulationHumansUnited States

Identifiers

PMID38967909
PMCPMC11405445

What OpenQuestion holds

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LicenceCC BY
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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.