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Burden of Hospital-Onset Clostridium difficile Infection in Patients Discharged from Rhode Island Hospitals, 2010–2011: Application of Present on Admission Indicators

Published online by Cambridge University Press:  02 January 2015

Yongwen Jiang
Affiliation:
Center for Health Data and Analysis, Rhode Island Department of Health, Providence, Rhode Island Department of Epidemiology, Warren Alpert Medical School of Brown University, Providence, Rhode Island
Samara Viner-Brown
Affiliation:
Center for Health Data and Analysis, Rhode Island Department of Health, Providence, Rhode Island
Rosa Baier
Affiliation:
Healthcentric Advisors, Providence, Rhode Island Department of Health Services, Policy and Practice, Warren Alpert Medical School of Brown University, Providence, Rhode Island

Abstract

Objective.

The year 2010 is the first time that the Rhode Island hospital discharge database included present on admission (POA) indicators, which give us the opportunity to distinguish cases of hospital-onset Clostridium difficile infection (CDI) from cases of community-onset CDI and to assess the burden of hospital-onset CDI in patients discharged from Rhode Island hospitals during 2010 and 2011.

Design.

Observational study.

Patients.

Patients 18 years of age or older discharged from one of Rhode Island's 11 acute-care hospitals between January 1, 2010, and December 31, 2011.

Methods.

Using the newly available POA indicators in the Rhode Island 2010 and 2011 hospital discharge database, we identified patients with hospital-onset CDI and without CDI. Adjusting for patient demographic and clinical characteristics using propensity score matching, we measured between-group differences in mortality, length of stay, and cost for patients with hospital-onset CDI and without CDI.

Results.

In 2010 and 2011, the 11 acute-care hospitals in Rhode Island had 225,999 discharges. Of 4,531 discharged patients with CDI (2.0% of all discharges), 1,211 (26.7%) had hospital-onset CDI. After adjusting for patient demographic and clinical characteristics, discharged patients with hospital-onset CDI were found to have higher mortality rates, longer lengths of stay, and higher costs than those without CDI.

Conclusions.

Our results highlight the burden of hospital-onset CDI in Rhode Island. These findings emphasize the need to track longitudinal trends to tailor and target population-health and quality-improvement initiatives.

Type
Original Article
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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References

1.Department of Health and Human Services (HHS). HHS action plan to prevent healthcare-associated infections. 2009. http://www.hhs.gov/ophs/initiatives/hai. Accessed May 6, 2013.Google Scholar
2.Scott, R; Centers for Disease Control and Prevention. The direct medical costs of healthcare-associated infections in U.S. hospitals and the benefits of prevention. 2009. http://www.cdc.gov/HAI/pdfs/hai/Scott_CostPaper.pdf. Accessed May 6, 2013.Google Scholar
3.Cohen, SH, Gerding, DN, Johnson, S, et al. Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the Society for Healthcare Epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA). Infect Control Hosp Epidemiol 2010;31(5):431455.Google Scholar
4.Agency for Healthcare Research and Quality. HCUPnet. 2012. http://hcupnet.ahrq.gov/HCUPnet.app/. Accessed February 23, 2012.Google Scholar
5.Centers for Disease Control and Prevention. Vital signs: preventing Clostridium difficile infections. MMWR Morb Mortal Wkly Rep 2012;61(9):157162.Google Scholar
6.Agency for Healthcare Research and Quality. The case for the POA indicator: update 2011. Healthcare Cost and Utilization Project Methods Series report # 2011-5. http://www.hcup-us .ahrq.gov/reports/methods/2011_05.pdf. Accessed May 6, 2013.Google Scholar
7.Centers for Medicare and Medicaid Services. Hospital-acquired conditions (present on admission indicator). 2012. http://www.cms.gov/hospitalacqcond/04_reporting.asp#TopOfPage. Accessed February 20, 2012.Google Scholar
8.Casey, DE Jr, Chang, K, Bustami, RT. Evaluation of hospitalization for infections that are present on admission. Am J Med Qual 2011;26(6):468473.Google Scholar
9.Centers for Medicare and Medicaid Services. Present on admission (POA) indicator reporting by acute inpatient prospective payment system (IPPS) hospitals. 2011. https://www.cms.gov/MLNProducts/downloads/wPOAFactSheet.pdf. Accessed May 6, 2013.Google Scholar
10.McDonald, LC, Owings, M, Jernigan, DB. Clostridium difficile infection in patients discharged from US short-stay hospitals, 1996-2003. Emerg Infect Dis 2006;12(3):409415.Google Scholar
11.World Health Organization (WHO). International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). Geneva, Switzerland: WHO, 1992. http://www.cdc.gov/nchs/icd/icd9cm.htm. Accessed April 27, 2012.Google Scholar
12.Elixhauser, A, Steiner, C, Kruzikas, D. Comorbidity software documentation, January 2004. Healthcare Cost and Utilization Project Methods Series report # 2004–01. US Agency for Healthcare Research and Quality, http://www.hcup-us.ahrq.gov/reports/methods/methods.jsp. Accessed May 6, 2013.Google Scholar
13.Healthcare Cost and Utilization Project (HCUP). Cost-to-charge ratio files. 2011. http://www.hcup-us.ahrq.gov/db/state/costtocharge.jsp. Accessed April 27, 2012.Google Scholar
14.Kollef, MH, Hamilton, CW, Ernst, FR. Economic impact of ventilator-associated pneumonia in a large matched cohort. Infect Control Hosp Epidemiol 2012;33(3):250256.CrossRefGoogle Scholar
15.Solomon, DH, Rassen, JA, Glynn, RJ, et al. The comparative safety of opioids for nonmalignant pain in older adults. Arch Intern Med 2010;170(22):19791986.CrossRefGoogle ScholarPubMed
16.Silber, JH, Rosenbaum, PR, Trudeau, ME, et al. Multivariate matching and bias reduction in the surgical outcomes study. Med Care 2001;39(10):10481064.CrossRefGoogle ScholarPubMed
17.Englesbe, MJ, Brooks, L, Kubus, J, et al. A statewide assessment of surgical site infection following colectomy: the role of oral antibiotics. Ann Surg 2010;252(3):514519; discussion 519-520.Google Scholar
18.SAS Institute user's guide, version 9.2. Cary, NC: SAS, 2011.Google Scholar
19.Liem, YS, Wong, JB, Hunink, MM, de Charro, FT, Winkelmayer, WC. Propensity scores in the presence of effect modification: a case study using the comparison of mortality on hemodialysis versus peritoneal dialysis. Emerg Themes Epidemiol 2010;7(1):1.Google Scholar
20.Murphy, CR, Avery, TR, Dubberke, ER, Huang, SS. Frequent hospital readmissions for Clostridium difficile infection and the impact on estimates of hospital-associated C. difficile burden. Infect Control Hosp Epidemiol 2012;33(1):2028.Google Scholar
21.Dubberke, ER, Wertheimer, AI. Review of current literature on the economic burden of Clostridium difficile infection. Infect Control Hosp Epidemiol 2009;30(1):5766.Google Scholar
22.Dubberke, ER, Butler, AM, Reske, KA, et al. Attributable outcomes of endemic Clostridium difficile-associated disease in nonsurgical patients. Emerg Infect Dis 2008;14(7):10311038.Google Scholar
23.Lipp, MJ, Nero, DC, Callahan, MA. Impact of hospital-acquired Clostridium difficile. J Gastroenterol Hepatol 2012;27(11):17331737.Google Scholar
24.Wang, L, Stewart, DB. Increasing hospital costs for Clostridium difficile colitis: type of hospital matters. Surgery 2011;150(4):727735.CrossRefGoogle ScholarPubMed
25.Centers for Disease Control and Prevention. Healthcare-associated infections (HAIs): Clostridium difficile infection, http://www.cdc.gov/HAI/organisms/cdiff/Cdiff_infect.html. Accessed February 21, 2012.Google Scholar
26.Ben-David, D, Novikov, I, Mermel, LA. Are there differences in hospital cost between patients with nosocomial methicillin-resistant Staphylococcus aureus bloodstream infection and those with methicillin-susceptible S. aureus bloodstream infection? Infect Control Hosp Epidemiol 2009;30(5):453460.Google Scholar
27.Butler, AM, Olsen, MA, Merz, LR, et al. Attributable costs of enterococcal bloodstream infections in a nonsurgical hospital cohort. Infect Control Hosp Epidemiol 2010;31(1):2835.CrossRefGoogle Scholar
28.Dubberke, ER, Butler, AM, Yokoe, DS, et al. Multicenter study of surveillance for hospital-onset Clostridium difficile infection by the use of ICD-9-CM diagnosis codes. Infect Control Hosp Epidemiol 2010;31(3):262268.CrossRefGoogle ScholarPubMed