Evidence map›Paper›PMID 28481976›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2017

Electronically Available Comorbidities Should Be Used in Surgical Site Infection Risk Adjustment.

Sarah S Jackson, Surbhi Leekha, Laurence S Magder, Lisa Pineles, Deverick J Anderson, William E Trick, Keith F Woeltje, Keith S Kaye, Timothy J Lowe, Anthony D Harris

Abstract readMulticenter Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Electronically Available Patient Claims Data Improve Models for Comparing Antibiotic Use Across Hospitals: Results From 576 US Facilities.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  5. The Limited Utility of Ranking Hospitals Based on Their Colon Surgery Infection Rates.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  6. 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

10 authors.

Sarah S JacksonDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Surbhi LeekhaDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Laurence S MagderDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Lisa PinelesDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Deverick J AndersonDuke Center for Antimicrobial Stewardship and Infection Prevention, Duke University Medical Center, Durham, North Carolina.
William E TrickCollaborative Research Unit, Cook County Health and Hospitals Systems, Chicago, Illinois.
Keith F WoeltjeDivision of Infectious Diseases, Department of Internal Medicine, Washington University School of Medicine, St Louis, Missouri.
Keith S KayeDivision of Infectious Diseases, Department of Clinical Research, University of Michigan Medical School, Ann Arbor.
Timothy J LowePremier Inc, Charlotte, North Carolina.
Anthony D HarrisDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.

Funding

K24 Clinical Research in Antimicrobial Resistance and Hospital EpidemiologyK24AI079040 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRIS, ANTHONY D · 2009 to 2018
$1.8M
Use of electronic data to improve risk adjustment for hospital infection ratesR01HS022291 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRIS, ANTHONY D · 2013 to 2016
$1.3M
AHRQ HHS R01 HS022291NIAID NIH HHS K24 AI079040
6 · The paper itself

Abstract

backgroundHealthcare-associated infections such as surgical site infections (SSIs) are used by the Centers for Medicare and Medicaid Services (CMS) as pay-for-performance metrics. Risk adjustment allows a fairer comparison of SSI rates across hospitals. Until 2016, Centers for Disease Control and Prevention (CDC) risk adjustment models for pay-for-performance SSI did not adjust for patient comorbidities. New 2016 CDC models only adjust for body mass index and diabetes.

methodsWe performed a multicenter retrospective cohort study of patients undergoing surgical procedures at 28 US hospitals. Demographic data and International Classification of Diseases, Ninth Revision codes were obtained on patients undergoing colectomy, hysterectomy, and knee and hip replacement procedures. Complex SSIs were identified by infection preventionists at each hospital using CDC criteria. Model performance was evaluated using measures of discrimination and calibration. Hospitals were ranked by SSI proportion and risk-adjusted standardized infection ratios (SIR) to assess the impact of comorbidity adjustment on public reporting.

resultsOf 45394 patients at 28 hospitals, 573 (1.3%) developed a complex SSI. A model containing procedure type, age, race, smoking, diabetes, liver disease, obesity, renal failure, and malnutrition showed good discrimination (C-statistic, 0.73) and calibration. When comparing hospital rankings by crude proportion to risk-adjusted ranks, 24 of 28 (86%) hospitals changed ranks, 16 (57%) changed by ≥2 ranks, and 4 (14%) changed by >10 ranks.

conclusionsWe developed a well-performing risk adjustment model for SSI using electronically available comorbidities. Comorbidity-based risk adjustment should be strongly considered by the CDC and CMS to adequately compare SSI rates across hospitals.

Indexed as

AdultAgedComorbidityFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AdjustmentRisk FactorsSurgical Wound InfectionUnited Statescomorbidityrisk adjustmentsurgical site infection

Identifiers

PMID28481976
PMCPMC5850642

What OpenQuestion holds

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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.