Evidence map›Paper›PMID 37898319›Full record

ArticleAmerican journal of infection control2024

Do risk adjustment calculations used by governmental agencies adequately assess risk for infection after colon surgery?

Yasna Yusuf, Marie Abdallah, Briana Episcopia, Mary Fornek, John Quale

Abstract read
In one paragraph

Article in American journal of infection control, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yasna YusufDepartment of Medicine, NYC Health+Hospitals/Kings County, Brooklyn, NY.
Marie AbdallahDepartment of Ambulatory Care, NYC Health+Hospitals/Kings County, Brooklyn, NY. Electronic address: marie.abdallah@nychhc.org.
Briana EpiscopiaDepartment of Infection Prevention, NYC Health+Hospitals/Kings County, Brooklyn, NY.
Mary FornekDepartment of Infection Prevention, NYC Health+Hospitals/Central Office, New York, NY.
John QualeDepartment of Medicine, NYC Health+Hospitals/Kings County, Brooklyn, NY.

Funding

Clinical Research Scholars Training (CREST) ProgramR25MD017950 · NIMHD · SUNY DOWNSTATE MEDICAL CENTER · PI Carla Boutin-Foster, Marlene Camacho · 2022 to 2026
$2.6M
NIMHD NIH HHS R25 MD017950
6 · The paper itself

Abstract

backgroundSurgical site infections (SSIs) following colon surgery are associated with clinical and financial consequences. The Centers for Medicare and Medicaid Services (CMS) and the New York State Department of Health (NYSDOH) use risk adjustment variables to determine quality measure scores.

methodsAmong patients in a large public system, surgical risk variables were compared between patients with and without SSIs. Propensity score matching, using CMS and NYSDOH risk variables, created control groups. Receiver Operating Characteristics (ROC) curves were created using current and augmented risk adjustment variables.

resultsWhen matched using CMS risk variables, more patients with SSIs had contaminated/dirty wounds, longer duration of surgery, and emergency surgery. The addition of these variables significantly improved the CMS ROC curve. When matching NYSDOH variables, more SSI patients were male, had contaminated/dirty wounds, and tended to be younger. The addition of these variables to the current NYSDOH adjustment criteria did not significantly improve the ROC curve. DISCUSSION: The CMS adjustment criteria for colon SSIs do not adequately account for complicated surgeries. The inclusion of additional variables significantly improved the performance of CMS risk adjustment.

conclusionsUntil more robust risk adjustment criteria are developed, the reporting of SSIs following colon surgery as a quality measure should be suspended.

Indexed as

MedicareRisk AdjustmentAgedColonFemaleHumansMaleRetrospective StudiesRisk FactorsSurgical Wound InfectionUnited StatesSurgical site infection

Identifiers

PMID37898319
PMCPMC11018117

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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.