Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-26T06:24:55.178Z Has data issue: false hasContentIssue false

Attributable costs and length of stay of hospital-acquired Clostridioides difficile: A population-based matched cohort study in Alberta, Canada

Published online by Cambridge University Press:  25 July 2019

Jenine R. Leal
Affiliation:
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Infection Prevention and Control, Alberta Health Services, Calgary, Alberta, Canada
John Conly
Affiliation:
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Department of Microbiology, Immunology, and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada Department of Pathology, University of Calgary, Calgary, Alberta, Canada Department of Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada Snyder Institute for Chronic Diseases, University of Calgary, Alberta, Canada Alberta Health Services, Calgary, Alberta, Canada O’Brien Institute for Public Health, University of Calgary, Alberta, Canada
Robert Weaver
Affiliation:
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
James Wick
Affiliation:
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
Elizabeth A. Henderson
Affiliation:
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Infection Prevention and Control, Alberta Health Services, Calgary, Alberta, Canada
Braden Manns
Affiliation:
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Alberta Health Services, Calgary, Alberta, Canada O’Brien Institute for Public Health, University of Calgary, Alberta, Canada Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada
Paul Ronksley*
Affiliation:
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada O’Brien Institute for Public Health, University of Calgary, Alberta, Canada
*
Author for correspondence: Dr Paul Ronksley Email: [email protected]

Abstract

Objective:

To determine the attributable cost and length of stay of hospital-acquired Clostridioides difficile infection (HA-CDI) from the healthcare payer perspective using linked clinical, administrative, and microcosting data.

Design:

A retrospective, population-based, propensity-score–matched cohort study.

Setting:

Acute-care facilities in Alberta, Canada.

Patients:

Admitted adult (≥18 years) patients with incident HA-CDI and without CDI between April 1, 2012, and March 31, 2016.

Methods:

Incident cases of HA-CDI were identified using a clinical surveillance definition. Cases were matched to noncases of CDI (those without a positive C. difficile test or without clinical CDI) on propensity score and exposure time. The outcomes were attributable costs and length of stay of the hospitalization where the CDI was identified. Costs were expressed in 2018 Canadian dollars.

Results:

Of the 2,916 HA-CDI cases at facilities with microcosting data available, 98.4% were matched to 13,024 noncases of CDI. The total adjusted cost among HA-CDI cases was 27% greater than noncases of CDI (ratio, 1.27; 95% confidence interval [CI], 1.21–1.33). The mean attributable cost was $18,386 (CAD 2018; USD $14,190; 95% CI, $14,312–$22,460; USD $11,046-$17,334). The adjusted length of stay among HA-CDI cases was 13% greater than for noncases of CDI (ratio, 1.13; 95% CI, 1.07–1.19), which corresponds to an extra 5.6 days (95% CI, 3.10–8.06) in length of hospital stay per HA-CDI case.

Conclusions:

In this population-based, propensity score matched analysis using microcosting data, HA-CDI was associated with substantial attributable cost.

Type
Original Article
Copyright
© 2019 by The Society for Healthcare Epidemiology of America. All rights reserved. 

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

Depestel, DD, Aronoff, DM. Epidemiology of Clostridium difficile infection. J Pharm Pract 2013;26:464475.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
Lessa, FC, Mu, Y, Bamberg, WM, et al. Burden of Clostridium difficile infection in the United States. N Engl J Med 2015;372:825834.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;66:987994.CrossRefGoogle Scholar
Infection Prevention and Control Surveillance and Standards. Infection Prevention and Control, 2017/18 Annual Report on Surveillance Activities. Alberta: Alberta Health Services/Covenant Health; Sep 20, 2018 2018.Google Scholar
Kotila, SM, Mentula, S, Ollgren, J, Virolainen-Julkunen, A, Lyytikainen, O. Community- and healthcare-associated Clostridium difficile infections, Finland, 2008–2013. Emerg Infect Dis 2016;22:17471753.CrossRefGoogle Scholar
Katz, KC, Golding, GR, Choi, KB, et al. The evolving epidemiology of Clostridium difficile infection in Canadian hospitals during a postepidemic period (2009–2015). CMAJ 2018;190:E758E765.CrossRefGoogle Scholar
Reveles, KR, Lawson, KA, Mortensen, EM, et al. National epidemiology of initial and recurrent Clostridium difficile infection in the Veterans Health Administration from 2003 to 2014. PLoS One 2017;12:e0189227.CrossRefGoogle ScholarPubMed
Karas, JA, Enoch, DA, Aliyu, SH. A review of mortality due to Clostridium difficile infection. J Infect 2010;61:18.CrossRefGoogle ScholarPubMed
Zhang, S, Palazuelos-Munoz, S, Balsells, EM, Nair, H, Chit, A, Kyaw, MH. Cost of hospital management of Clostridium difficile infection in United States—a meta-analysis and modelling study. BMC Infect Dis 2016;16:447.CrossRefGoogle ScholarPubMed
Nanwa, N, Kwong, JC, Krahn, M, et al. The economic burden of hospital-acquired Clostridium difficile infection: a population-based matched cohort study. Infect Control Hosp Epidemiol 2016;37:10681078.CrossRefGoogle ScholarPubMed
Nanwa, N, Kendzerska, T, Krahn, M, et al. The economic impact of Clostridium difficile infection: a systematic review. Am J Gastroenterol 2015;110:511519.CrossRefGoogle ScholarPubMed
Magee, G, Strauss, ME, Thomas, SM, Brown, H, Baumer, D, Broderick, KC. Impact of Clostridium difficile-associated diarrhea on acute care length of stay, hospital costs, and readmission: a multicenter retrospective study of inpatients, 2009–2011. Am J Infect Control 2015;43:11481153.CrossRefGoogle ScholarPubMed
Jiang, Y, Viner-Brown, S, Baier, R. Burden of hospital-onset Clostridium difficile infection in patients discharged from Rhode Island hospitals, 2010–2011: application of present on admission indicators. Infect Control Hosp Epidemiol 2013;34:700708.CrossRefGoogle ScholarPubMed
Nelson, RE, Samore, MH, Jones, M, et al. Reducing time-dependent bias in estimates of the attributable cost of health care-associated methicillin-resistant Staphylococcus aureus infections: a comparison of three estimation strategies. Med Care 2015;53:827834.CrossRefGoogle ScholarPubMed
Austin, PC. An Introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivar Behav Res 2011;46:399424.CrossRefGoogle ScholarPubMed
Baser, O. Too much ado about propensity score models? Comparing methods of propensity score matching. Value Health 2006;9:377385.CrossRefGoogle ScholarPubMed
Caliendo, M, Kopeinig, S. Some practical guidance for the implementation of propensity score matching. J Econ Surv 2008;22:3172.CrossRefGoogle Scholar
Austin, PC. A comparison of 12 algorithms for matching on the propensity score. Stat Med 2014;33:10571069.CrossRefGoogle ScholarPubMed
Quan, H, Sundararajan, V, Halfon, P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005;43:11301139.CrossRefGoogle ScholarPubMed
Elixhauser, A, Steiner, C, Harris, DR, Coffey, RM. Comorbidity measures for use with administrative data. Med Care 1998;36:827.CrossRefGoogle ScholarPubMed
Tabak, YP, Johannes, RS, Sun, X, Nunez, CM, McDonald, LC. Predicting the risk for hospital-onset Clostridium difficile infection (HO-CDI) at the time of inpatient admission: HO-CDI risk score. Infect Control Hosp Epidemiol 2015;36:695701.CrossRefGoogle Scholar
Bloomfield, MG, Sherwin, JC, Gkrania-Klotsas, E. Risk factors for mortality in Clostridium difficile infection in the general hospital population: a systematic review. J Hosp Infect 2012;82:112.CrossRefGoogle ScholarPubMed
Table 18-10-0005-01 Consumer Price Index, annual average, not seasonally adjusted. Statistics Canada website. https://www150.statcan.gc.ca/t1/tbl1/en/cv.action?pid=1810000501. Accessed June 10, 2019.Google Scholar
Annual Exchange Rates. Statistics, 2019. Bank of Canada website. https://www.bankofcanada.ca/rates/exchange/annual-average-exchange-rates/#table. Published 2019. Accessed May 13, 2019.Google Scholar
Dohoo, I, Martin, W, Stryhn, H. Methods in Epidemiologic Research. Charlottetown, Prince Edward Island: VER Inc; 2012.Google Scholar
Deb, P, Manning, WG, Norton, EC. Modeling Health Care Costs and Counts. Los Angeles: ASHEcon; 2014.Google Scholar
Leal, J, Ronksley, P, Henderson, EA, Conly, J, Manns, B. Predictors of mortality and length of stay in patients with hospital-acquired Clostridioides difficile infection: a population-based study in Alberta, Canada. J Hosp Infect 2019.CrossRefGoogle Scholar
Campbell, R, Dean, B, Nathanson, B, Haidar, T, Strauss, M, Thomas, S. Length of stay and hospital costs among high-risk patients with hospital-origin Clostridium difficile-associated diarrhea. J Med Econ 2013;16:440448.CrossRefGoogle ScholarPubMed
Tabak, YP, Zilberberg, MD, Johannes, RS, Sun, X, McDonald, LC. Attributable burden of hospital-onset Clostridium difficile infection: a propensity score matching study. Infect Control Hosp Epidemiol 2013;34:588596.CrossRefGoogle ScholarPubMed
Wodchis, WP, Bushmeneva, K, Nikitovic, M, McKillop, I. Guidelines on person-level costing using administrative databases in Ontario. Working Paper Series. Toronto: Health System Performance Research Network; 2013.Google Scholar
Mitchell, BG, Gardner, A. Prolongation of length of stay and Clostridium difficile infection: a review of the methods used to examine length of stay due to healthcare associated infections. Antimicrob Resist Infect Control 2012;1:14.CrossRefGoogle ScholarPubMed
De Angelis, G, Murthy, A, Beyersmann, J, Harbarth, S. Estimating the impact of healthcare-associated infections on length of stay and costs. Clin Microbiol Infect 2010;16:17291735.CrossRefGoogle ScholarPubMed
Levy, AR, Szabo, SM, Lozano-Ortega, G, et al. Incidence and costs of Clostridium difficile infections in Canada. Open Forum Infect Dis 2015;2:ofv076.CrossRefGoogle ScholarPubMed
Shah, DN, Aitken, SL, Barragan, LF, et al. Economic burden of primary compared with recurrent Clostridium difficile infection in hospitalized patients: a prospective cohort study. J Hosp Infect 2016;93:286289.CrossRefGoogle ScholarPubMed
Shorr, AF, Zilberberg, MD, Wang, L, Baser, O, Yu, H. Mortality and costs in Clostridium difficile infection among the elderly in the United States. Infect Control Hosp Epidemiol 2016;37:13311336.CrossRefGoogle ScholarPubMed
Chapko, MK, Liu, CF, Perkins, M, Li, YF, Fortney, JC, Maciejewski, ML. Equivalence of two healthcare costing methods: bottom-up and top-down. Health Econ 2009;18:11881201.CrossRefGoogle ScholarPubMed
Barnett, PG. An improved set of standards for finding cost for cost-effectiveness analysis. Med Care 2009;47:S82S88.CrossRefGoogle ScholarPubMed
Gabriel, L, Beriot-Mathiot, A. Hospitalization stay and costs attributable to Clostridium difficile infection: a critical review. J Hosp Infect 2014;88:1221.CrossRefGoogle ScholarPubMed
Roberts, RR, Scott, RD , 2nd, Hota, B, et al. Costs attributable to healthcare-acquired infection in hospitalized adults and a comparison of economic methods. Med Care 2010;48:10261035.CrossRefGoogle Scholar
Supplementary material: File

Leal et al. supplementary material

Leal et al. supplementary material
Download Leal et al. supplementary material(File)
File 31 KB