Can patient-reported room cleanliness measures predict hospital-acquired C. difficile infection? A study of acute care facilities in New York state

Author(s):  
Danielle J. Durant
2018 ◽  
Vol 26 (1) ◽  
pp. 99-108 ◽  
Author(s):  
Caila B Vaughn ◽  
Katelyn S Kavak ◽  
Michael G Dwyer ◽  
Aisha Bushra ◽  
Muhammad Nadeem ◽  
...  

Background: Fatigue is one of the most common and distressing symptoms among persons with multiple sclerosis (pwMS). Objective: The aim of this study is to evaluate fatigue as a predictor for disease worsening among pwMS. Methods: In this retrospective cohort study of New York State MS Consortium (NYSMSC) registry, MS patients reporting moderate-to-severe fatigue at study enrollment ( n = 2714) were frequency matched to less-fatigued subjects ( n = 2714) on age, baseline Kurtzke Expanded Disability Status Scale (EDSS), disease duration, and MS phenotype. Change from baseline patient-reported outcomes (PROs), as measured by LIFEware™, categorized participants into two groups: those with stable/improved outcomes and those who worsened. In a subgroup of patients with longitudinal data ( n = 1951), sustained EDSS worsening was analyzed using Cox proportional hazards modeling to explore the effect of fatigue. Results: The median survival time from study enrollment to sustained EDSS worsening was 8.7 years (CI: 7.2–10.1). Participants who reported fatigue at baseline were more likely to experience sustained EDSS worsening during follow-up (HR: 1.4, 95% CI: 1.2–1.7). Patients who were fatigued at baseline were also more likely to report worsening psychosocial limitations (all ps ⩽ 0.01). Conclusion: In addition to being a common symptom of MS, severe fatigue was a significant predictor for EDSS worsening in the NYSMSC.


2019 ◽  
Vol 40 (11) ◽  
pp. 1313-1315
Author(s):  
Riad Khatib ◽  
Mamta Sharma ◽  
Mohamad G. Fakih ◽  
Kathleen M. Riederer ◽  
Leonard B. Johnson

AbstractLaboratory-identified bloodstream infections (LAB-ID BSIs) in recently discharged patients are likely to be classified as healthcare-associated community-onset (HCA-CO) infections, even though they may represent hospital-onset (HO) infections. A review of LAB-ID BSIs among patients discharged within 14 days revealed that 109 of 756 cases (14.4%) were HO infections. The BSI risk being misclassified as HCA CO may underestimate the hospital infection risk.


2001 ◽  
Vol 22 (08) ◽  
pp. 518-519 ◽  
Author(s):  
Nicholas Pavelchak ◽  
Karen Cummings ◽  
Rachel Stricof ◽  
Elizabeth Marshall ◽  
Margaret Oxtoby ◽  
...  

Abstract A previously published study recommended the daily use of visible smoke to test for negative air pressure in isolation rooms occupied by potentially infectious tuberculosis cases. Continuous monitoring devices were found to have poor reliability. Findings from our survey of engineering controls in acute-care hospitals within New York State support this recommendation.


2012 ◽  
Vol 33 (6) ◽  
pp. 565-571 ◽  
Author(s):  
Valerie B. Haley ◽  
Carole Van Antwerpen ◽  
Boldtsetseg Tserenpuntsag ◽  
Kathleen A. Gase ◽  
Peggy Hazamy ◽  
...  

Objective.To efficiently validate the accuracy of surgical site infection (SSI) data reported to the National Healthcare Safety Network (NHSN) by New York State (NYS) hospitals.Design.Validation study.Setting.176 NYS hospitals.Methods.NYS Department of Health staff validated the data reported to NHSN by review of a stratified sample of medical records from each hospital. The four strata were (1) SSIs reported to NHSN; (2) records with an indication of infection from diagnosis codes in administrative data but not reported to NHSN as SSIs; (3) records with discordant procedure codes in NHSN and state data sets; (4) records not in the other three strata.Results.A total of 7,059 surgical charts (6% of the procedures reported by hospitals) were reviewed. In stratum 1, 7% of reported SSIs did not meet the criteria for inclusion in NHSN and were subsequently removed. In stratum 2, 24% of records indicated missed SSIs not reported to NHSN, whereas in strata 3 and 4, only 1% of records indicated missed SSIs; these SSIs were subsequently added to NHSN. Also, in stratum 3, 75% of records were not coded for the correct NHSN procedure. Errors were highest for colon data; the NYS colon SSI rate increased by 7.5% as a result of hospital audits.Conclusions.Audits are vital for ensuring the accuracy of hospital-acquired infection (HAI) data so that hospital HAI rates can be fairly compared. Use of administrative data increased the efficiency of identifying problems in hospitals' SSI surveillance that caused SSIs to be unreported and caused errors in denominator data.


2012 ◽  
Vol 40 (5) ◽  
pp. e190-e191
Author(s):  
Kathleen Gase ◽  
Boldtsetseg Tserenpuntsag ◽  
Valerie Haley ◽  
Diana Doughty ◽  
Peggy Hazamy ◽  
...  

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