Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-24T10:29:51.569Z Has data issue: false hasContentIssue false

Interfacility patient sharing and Clostridioides difficile infection incidence in the Ontario hospital system: A 13-year cohort study

Published online by Cambridge University Press:  25 November 2019

Kevin A. Brown*
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
Allison McGeer
Affiliation:
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada Mount Sinai Hospital, Toronto, Ontario, Canada
Kevin L. Schwartz
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada St Joseph’s Health Centre, Toronto, Ontario, Canada
Christina Diong
Affiliation:
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Jacob Etches
Affiliation:
Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
Gary Garber
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada Ottawa Research Institute, Ottawa, Ontario, Canada
Jennie Johnstone
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada Mount Sinai Hospital, Toronto, Ontario, Canada
Bradley Langford
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada
Nick Daneman
Affiliation:
Public Health Ontario, Toronto, Ontario, Canada Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada Division of Infectious Diseases, Sunnybrook Research Institute, Toronto, Ontario, Canada Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
*
Author for correspondence: Kevin Antoine Brown, Email: kevin.brown@utoronto.ca

Abstract

Objective:

Interfacility patient movement plays an important role in the dissemination of antimicrobial-resistant organisms throughout healthcare systems. We evaluated how 3 alternative measures of interfacility patient sharing were associated with C. difficile infection incidence in Ontario acute-care facilities.

Design:

The cohort included adult acute-care facility stays of ≥3 days between April 2003 and March 2016. We measured 3 facility-level metrics of patient sharing: general patient importation, incidence-weighted patient importation, and C. difficile case importation. Each of the 3 patient-sharing metrics were examined against the incidence of C. difficile infection in the facility per 1,000 stays, using Poisson regression models.

Results:

The analyzed cohort included 6.70 million stays at risk of C. difficile infection across 120 facilities. Over the 13-year period, we included 62,189 new cases of healthcare-associated CDI (incidence, 9.3 per 1,000 stays). After adjustment for facility characteristics, general importation was not strongly associated with C. difficile infection incidence (risk ratio [RR] per doubling, 1.10; 95% confidence interval [CI], 0.97–1.24; proportional change in variance [PCV], −2.0%). Incidence-weighted (RR per doubling, 1.18; 95% CI, 1.06–1.30; PCV, −8.4%) and C. difficile case importation (RR per doubling, 1.43; 95% CI, 1.29–1.58; PCV, −30.1%) were strongly associated with C. difficile infection incidence.

Conclusions:

In this 13-year study of acute-care facilities in Ontario, interfacility variation in C. difficile infection incidence was associated with importation of patients from other high-incidence acute-care facilities or specifically of patients with a recent history of C. difficile infection. Regional infection control strategies should consider the potential impact of importation of patients at high risk of C. difficile shedding from outside facilities.

Type
Original Article
Copyright
© 2019 Crown Copyright.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Roldan, GA, Cui, AX, Pollock, NR. Assessing the burden of Clostridium difficile infection in low- and middle-income countries. J Clin Microbiol 2018;56:e01747-17.CrossRefGoogle ScholarPubMed
Brown, KA, Daneman, N, Jones, M, et al. The drivers of acute and long-term care Clostridium difficile infection rates: a retrospective multilevel cohort study of 251 facilities. Clin Infect Dis 2017;65:12821288.CrossRefGoogle ScholarPubMed
Pakyz, AL, Jawahar, R, Wang, Q, Harpe, SE. Medication risk factors associated with healthcare-associated Clostridium difficile infection: a multilevel model case-control study among 64 US academic medical centers. J Antimicrob Chemother 2014;69:11271131.CrossRefGoogle Scholar
Kazakova, SV, Baggs, J, McDonald, LC, et al. Association between antibiotic use and hospital-onset Clostridioides difficile infection in US acute care hospitals, 2006–2012: an ecologic analysis. Clin Infect Dis 2019. doi: 10.1093/cid/ciz169.Google Scholar
Daneman, N, Guttmann, A, Wang, X, Ma, X, Gibson, D, Stukel, TA. The association of hospital prevention processes and patient risk factors with the risk of Clostridium difficile infection: a population-based cohort study. BMJ Qual Saf 2015;24:435443.CrossRefGoogle ScholarPubMed
Simmering, JE, Polgreen, LA, Campbell, DR, Cavanaugh, JE, Polgreen, PM. Hospital transfer network structure as a risk factor for Clostridium difficile infection. Infect Control Hosp Epidemiol 2015;36:10311037.CrossRefGoogle ScholarPubMed
DiDiodato, G, McArthur, L. Interhospital patient transfers between Ontario’s academic and large community hospitals increase the risk of Clostridium difficile infection. Am J Infect Control 2018;46:191196.CrossRefGoogle ScholarPubMed
Sewell, DK, Simmering, JE, Justice, S, Pemmaraju, SV, Segre, AM, Polgreen, PM. Estimating the attributable disease burden and effects of interhospital patient sharing on Clostridium difficile infections. Infect Control Hosp Epidemiol 2019;40:656661.CrossRefGoogle ScholarPubMed
Huang, SS, Avery, TR, Song, Y, et al. Quantifying interhospital patient sharing as a mechanism for infectious disease spread. Infect Control Hosp Epidemiol 2010;31:11601169.CrossRefGoogle ScholarPubMed
Ray, MJ, Lin, MY, Weinstein, RA, Trick, WE. Spread of carbapenem-resistant Enterobacteriaceae among Illinois healthcare facilities: the role of patient sharing. Clin Infect Dis 2016;63:889893.CrossRefGoogle ScholarPubMed
Donker, T, Henderson, KL, Hopkins, KL, et al. The relative importance of large problems far away versus small problems closer to home: insights into limiting the spread of antimicrobial resistance in England. BMC Med 2017;15. doi: 10.1186/s12916-017-0844-2.CrossRefGoogle ScholarPubMed
Donker, T, Reuter, S, Scriberras, J, et al. Population genetic structuring of methicillin-resistant Staphylococcus aureus clone EMRSA-15 within United Kingdom reflects patient referral patterns. Microb Genomics 2017;3:e000113.CrossRefGoogle ScholarPubMed
Nekkab, N, Astagneau, P, Temime, L, Crépey, P. Spread of hospital-acquired infections: a comparison of healthcare networks. PLOS Comput Biol 2017;13:e1005666.CrossRefGoogle ScholarPubMed
Sethi, AK, Al-Nassir, WN, Nerandzic, MM, Bobulsky, GS, Donskey, CJ. Persistence of skin contamination and environmental shedding of Clostridium difficile during and after treatment of C. difficile infection. Infect Control Hosp Epidemiol 2010;31:2127.CrossRefGoogle ScholarPubMed
Slayton, RB, Toth, D, Lee, BY, et al. Vital signs: estimated effects of a coordinated approach for action to reduce antibiotic-resistant infections in health care facilities—United States. Morb Mortal Wkly Rep 2015;64:826831.CrossRefGoogle ScholarPubMed
Smith, DL, Levin, SA, Laxminarayan, R. Strategic interactions in multi-institutional epidemics of antibiotic resistance. Proc Natl Acad Sci U S A 2005;102:3153.CrossRefGoogle ScholarPubMed
McDonald, LC, Gerding, DN, Johnson, S, et al. 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). Clin Infect Dis 2018;66:e1e48.CrossRefGoogle Scholar
Dubberke, ER, Reske, KA, McDonald, LC, Fraser, VJ. ICD-9 codes and surveillance for Clostridium difficile–associated disease. Emerg Infect Dis 2006;12:15761579.CrossRefGoogle ScholarPubMed
Scheurer, DB, Hicks, LS, Cook, EF, Schnipper, JL. Accuracy of ICD-9 coding for Clostridium difficile infections: a retrospective cohort. Epidemiol Infect 2006;135:10101013.CrossRefGoogle ScholarPubMed
Brown, KA, Jones, M, Daneman, N, et al. Importation, antibiotics, and Clostridium difficile infection in veteran long-term care: a multilevel case–control study. Ann Intern Med 2016;164:787794.CrossRefGoogle ScholarPubMed
Furuya-Kanamori, L, Marquess, J, Yakob, L, et al. Asymptomatic Clostridium difficile colonization: epidemiology and clinical implications. BMC Infect Dis 2015;15:516.CrossRefGoogle ScholarPubMed
Kromm, SK, Ross Baker, G, Wodchis, WP, Deber, RB. Acute care hospitals’ accountability to provincial funders. Healthcare Policy Polit Sante 2014;10:2535.CrossRefGoogle ScholarPubMed
Harrison, XA. Using observation-level random effects to model overdispersion in count data in ecology and evolution. Peer J 2014;2:e616.CrossRefGoogle ScholarPubMed
Austin, PC, Merlo, J. Intermediate and advanced topics in multilevel logistic regression analysis: multilevel logistic regression. Stat Med 2017;36:32573277.CrossRefGoogle ScholarPubMed
Longtin, Y, Paquet-Bolduc, B, Gilca, R, et al. Effect of detecting and isolating Clostridium difficile carriers at hospital admission on the incidence of C difficile infections: a quasi-experimental controlled study. JAMA Intern Med 2016;176:796.CrossRefGoogle ScholarPubMed
Polage, CR, Gyorke, CE, Kennedy, MA, et al. Overdiagnosis of Clostridium difficile infection in the molecular test era. JAMA Intern Med 2016;4:205206.Google Scholar
Brown, KA, Fisman, DN, Daneman, N. Hospital Clostridium difficile infection testing rates: is “don’t ask, don’t tell” at play? Infect Control Hosp Epidemiol 2014;35:911912.CrossRefGoogle Scholar