ArticleInfection control and hospital epidemiology2016
Evaluating the Use of the Case Mix Index for Risk Adjustment of Healthcare-Associated Infection Data: An Illustration using Clostridium difficile Infection Data from the National Healthcare Safety Network.
Article in Infection control and hospital epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Incidence and Outcomes Associated With Clostridium difficile Infections: A Systematic Review and Meta-analysis.JAMA network open · 2020Pooled it
- Clinical Practice Guidelines for Clostridium difficile Infection in Adults and Children: 2017 Update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Guideline
- How Does Management Matter for Hospital Performance? Evidence From the Global Hospital Management Survey in China.International journal of health policy and management · 2024Article
- Mitigating hospital-onsetInfection control and hospital epidemiology · 2023Article
- Early prediction of diagnostic-related groups and estimation of hospital cost by processing clinical notes.NPJ digital medicine · 2021Article
- Community-acquired and hospital-acquired medication harm among older inpatients and impact of a state-wide medication management intervention.BMJ quality & safety · 2019Article
- Electronically Available Comorbid Conditions for Risk Prediction of Healthcare-Associated Clostridium difficile Infection.Infection control and hospital epidemiology · 2018Article
- Understanding physician antibiotic prescribing behavior for children with enterovirus infection.PloS one · 2018Article
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Authors and funding
5 authors.
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Abstract
BACKGROUND Case mix index (CMI) has been used as a facility-level indicator of patient disease severity. We sought to evaluate the potential for CMI to be used for risk adjustment of National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) data. METHODS NHSN facility-wide laboratory-identified Clostridium difficile infection event data from 2012 were merged with the fiscal year 2012 Inpatient Prospective Payment System (IPPS) Impact file by CMS certification number (CCN) to obtain a CMI value for hospitals reporting to NHSN. Negative binomial regression was used to evaluate whether CMI was significantly associated with healthcare facility-onset (HO) CDI in univariate and multivariate analysis. RESULTS Among 1,468 acute care hospitals reporting CDI data to NHSN in 2012, 1,429 matched by CCN to a CMI value in the Impact file. CMI (median, 1.49; interquartile range, 1.36-1.66) was a significant predictor of HO CDI in univariate analysis (P<.0001). After controlling for community onset CDI prevalence rate, medical school affiliation, hospital size, and CDI test type use, CMI remained highly significant (P<.0001), with an increase of 0.1 point in CMI associated with a 3.4% increase in the HO CDI incidence rate. CONCLUSIONS CMI was a significant predictor of NHSN HO CDI incidence. Additional work to explore the feasibility of using CMI for risk adjustment of NHSN data is necessary. Infect. Control Hosp. Epidemiol. 2015;37(1):19-25.
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