Evidence map›Paper›PMID 37877198›Full record

ArticleInfection control and hospital epidemiology2024

Impact of hospital-acquired pneumonia on the Medicare program.

Dian L Baker, Karen K Giuliano, Mark Desmarais, Chantal Worzala, Annie Cloke, Lu Zawistowich

Abstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Dian L BakerSchool of Nursing, California State University, Sacramento, California.ORCID 0000-0002-0332-8082
Karen K GiulianoElaine Marieb Center for Nursing and Engineering Innovation, Amherst, Massachusetts.
Mark DesmaraisThe Moran Company, Arlington, Virginia.ORCID 0000-0002-3038-9358
Chantal WorzalaAlazro Consulting, Takoma Park, Maryland.
Annie ClokeCapView Strategies, Brooklyn, New York.
Lu ZawistowichCapView Strategies, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatient safety organizations and researchers describe hospital-acquired pneumonia (HAP) as a largely preventable hospital-acquired infection that affects patient safety and quality of care. We provide evidence regarding the consequences of HAP among 2019 Medicare beneficiaries.

designRetrospective case-control study. PATIENTS: Calendar year 2019 Medicare beneficiaries with HAP during an initial hospitalization, defined by

methodsThe 2019 calendar year Medicare 5% Standard Analytic Files (SAF), for inpatient, outpatient, physician, and all postacute hospital settings. The case group (HAP) and control group (non-HAP) were matched on disease severity, age, sex, and race and were compared for hospital length of stay, costs, and mortality during the initial hospitalization and across settings for 30, 60, and 90 days after discharge. The 2019 fiscal year MedPAR Claims data were used to determine Medicare costs.

resultsMedicare beneficiaries with HAP were 2.8 times more likely to die within 90 days compared with matched beneficiaries who did not develop HAP. Among those who survived, beneficiaries with HAP spent 6.6 more days in the hospital (69%) and cost the Medicare program an average of $14,487 (24%) more per episode of care across initial inpatient and postdischarge services.

conclusionsThe findings of higher mortality and cost among Medicare beneficiaries who develop HAP suggest that HAP prevention should be prioritized as a patient safety and quality initiative for the Medicare program.

Indexed as

Healthcare-Associated PneumoniaMedicareAftercareAgedCase-Control StudiesHealth ExpendituresHospitalsHumansPatient DischargeRetrospective StudiesUnited States

Identifiers

PMID37877198
PMCPMC10933505

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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.