Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-05-11T04:34:25.889Z Has data issue: false hasContentIssue false

Trends in the incidence of Clostridioides difficile infection in adults and the elderly insured by Medicaid compared to commercial insurance or Medicare only

Published online by Cambridge University Press:  09 September 2022

Margaret A. Olsen*
Affiliation:
Department of Medicine, Washington University School of Medicine, St Louis, Missouri Department of Surgery, Washington University School of Medicine, St Louis, Missouri
Dustin Stwalley
Affiliation:
Department of Medicine, Washington University School of Medicine, St Louis, Missouri
Andrew D. Tipping
Affiliation:
Department of Medicine, Washington University School of Medicine, St Louis, Missouri
Matthew R. Keller
Affiliation:
Department of Medicine, Washington University School of Medicine, St Louis, Missouri
Holly Yu
Affiliation:
Pfizer, Inc, Pearl River, New York (Present affiliation: Missouri Institute of Mental Health, St Louis, Missouri [A.D.T.])
Erik R. Dubberke*
Affiliation:
Department of Medicine, Washington University School of Medicine, St Louis, Missouri
*
Author for correspondence: Margaret A. Olsen, E-mail: molsen@wustl.edu. Or Erik R. Dubberke, E-mail: edubberk@wustl.edu
Author for correspondence: Margaret A. Olsen, E-mail: molsen@wustl.edu. Or Erik R. Dubberke, E-mail: edubberk@wustl.edu

Abstract

Objective:

Few data are available to quantify the Clostridioides difficile infection (CDI) burden in US adults depending on Medicaid insurance status; thus, we sought to contribute to this body of information.

Methods:

Retrospective cohort study to identify adults with codes for CDI from 2011 to 2017 in MarketScan commercial and Medicaid databases (for those aged 25–64 years) and the CMS Medicare database (for those aged ≥65 years). CDI was categorized as healthcare-facility–associated (HCA-CDI) and community-associated CDI (CA-CDI). CDI incidence rates were compared by year, insurer, and age group.

Results:

The overall CDI incidence in the elderly was 3.1-fold higher in persons insured by Medicare plus Medicaid than in those insured by Medicare only (1,935 vs 618 per 100,000 person years (PY)), and the CDI incidence was 2.7-fold higher in younger adults with Medicaid compared to commercial insurance (195 vs 73 per 100,000 PY). From 2011 to 2017, HCA-CDI rates declined in the younger Medicaid population (124.0 to 95.2 per 100,000 PY; P < .001) but were stable in those commercially insured (25.9 to 24.8 per 100,000 PY; P = .33). In the elderly HCA-CDI rates declined from 2011 to 2017 in the Medicare-only population (403 to 318 per 100,000 PY; P < .001) and the Medicare plus Medicaid population (1,770 to 1,163 per 100,000 PY; P < .002). Persons with chronic medical conditions and those with immunocompromising conditions insured by Medicaid had 2.8- and 2.7-fold higher CDI incidence compared to the commercially insured population, respectively. The incidence of CDI was lowest in Medicaid and commercially insured younger adults without chronic medical or immunosuppressive conditions (67.5 and 45.6 per 100,000 PY, respectively).

Conclusions:

Although HCA-CDI incidence decreased from 2011 to 2017 in elderly and younger adults insured by Medicaid, the burden of CDI remains much higher in low-income adults insured by Medicaid.

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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.)

Footnotes

PREVIOUS PRESENCATION. The preliminary results of this study were presented at the 31st European Congress of Clinical Microbiology and Infectious Diseases (ECCMID), on July 9–12, 2021, in Vienna, Austria, held virtually.

References

Magill, SS, Edwards, JR, Bamberg, W, et al. Multistate point-prevalence survey of healthcare-associated infections. N Engl J Med 2014;370:11981208.10.1056/NEJMoa1306801CrossRefGoogle Scholar
Guh, AY, Mu, Y, Winston, LG, et al. Trends in US burden of Clostridioides difficile infection and outcomes. N Engl J Med 2020;382:13201330.10.1056/NEJMoa1910215CrossRefGoogle ScholarPubMed
Olsen, MA, Stwalley, D, Demont, C, Dubberke, ER. Clostridium difficile infection increases acute and chronic morbidity and mortality. Infect Control Hosp Epidemiol 2019;40:6571.10.1017/ice.2018.280CrossRefGoogle 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;37:10681078.10.1017/ice.2016.122CrossRefGoogle ScholarPubMed
Nanwa, N, Sander, B, Krahn, M, et al. A population-based matched cohort study examining the mortality and costs of patients with community-onset Clostridium difficile infection identified using emergency department visits and hospital admissions. PLoS One 2017;12:e0172410.10.1371/journal.pone.0172410CrossRefGoogle ScholarPubMed
Kwon, JH, Olsen, MA, Dubberke, ER. The morbidity, mortality, and costs associated with Clostridium difficile infection. Infect Dis Clin North Am 2015;29:123134.10.1016/j.idc.2014.11.003CrossRefGoogle ScholarPubMed
Chapel, JM, Ritchey, MD, Zhang, D, Wang, G. Prevalence and medical costs of chronic diseases among adult Medicaid beneficiaries. Am J Prev Med 2017;53(6 suppl 2):S143S154.10.1016/j.amepre.2017.07.019CrossRefGoogle ScholarPubMed
Boersma, P BL, Ward, BW. Prevalence of multiple chronic conditions among US adults, 2018. Prev Chronic Dis 2020;17:200130.10.5888/pcd17.200130CrossRefGoogle ScholarPubMed
Guh, AY, Adkins, SH, Li, Q, et al. Risk factors for community-associated Clostridium difficile infection in adults: a case–control study. Open Forum Infect Dis 2017;4:ofx171.10.1093/ofid/ofx171CrossRefGoogle ScholarPubMed
Czepiel, J, Drozdz, M, Pituch, H, et al. Clostridium difficile infection: review. Eur J Clin Microbiol Infect Dis 2019;38:12111221.10.1007/s10096-019-03539-6CrossRefGoogle Scholar
Dubberke, ER, Olsen, MA, Stwalley, D, et al. Identification of Medicare recipients at highest risk for Clostridium difficile infection in the US by population attributable risk analysis. PLoS One 2016;11:e0146822.10.1371/journal.pone.0146822CrossRefGoogle ScholarPubMed
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;31:431455.10.1086/651706CrossRefGoogle Scholar
Olsen, MA, Young-Xu, Y, Stwalley, D, et al. The burden of Clostridium difficile infection: estimates of the incidence of CDI from US administrative databases. BMC Infect Dis 2016;16:177.10.1186/s12879-016-1501-7CrossRefGoogle ScholarPubMed
Yun, H, Kilgore, ML, Curtis, JR, et al. Identifying types of nursing facility stays using Medicare claims data: an algorithm and validation. Health Serv Outcomes Res Method 2010;10:100110.10.1007/s10742-010-0060-4CrossRefGoogle Scholar
Elixhauser, A, Steiner, C, Harris, DR, Coffey, RN. Comorbidity measures for use with administrative data. Med Care 1998;36:827.10.1097/00005650-199801000-00004CrossRefGoogle ScholarPubMed
Klabunde, CN, Potosky, AL, Legler, JM, Warren, JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol 2000;53:12581267.10.1016/S0895-4356(00)00256-0CrossRefGoogle ScholarPubMed
Recommended adult immunization schedule, United States, 2019. Centers for Disease Control and Prevention website. https://www.cdc.gov/vaccines/schedules/downloads/adult/adult-combined-schedule.pdf. Accessed October 19, 2020.Google Scholar
Chu, X. Using SAS to calculate incidence and prevalence rates in a dynamic population. Lex Janssen website. https://www.lexjansen.com/wuss/2012/103.pdf. Published 2012. Accessed December 10, 2021.Google Scholar
Tatem, KS, Romo, ML, McVeigh, KH, et al. Comparing prevalence estimates from population-based surveys to inform surveillance using electronic health records. Prev Chronic Dis 2017;14:E44.10.5888/pcd14.160516CrossRefGoogle ScholarPubMed
Hudspeth, WB, Qeadan, F, Phipps, EC. Disparities in the incidence of community-acquired Clostridioides difficile infection: an area-based assessment of the role of social determinants in Bernalillo County, New Mexico. Am J Infect Control 2019;47:773779.10.1016/j.ajic.2018.12.014CrossRefGoogle ScholarPubMed
Skrobarcek, KA, Mu, Y, Ahern, J, et al. Association between socioeconomic status and incidence of community-associated Clostridioides difficile infection—United States, 2014–2015. Clin Infect Dis 2021;73:722725.10.1093/cid/ciab042CrossRefGoogle ScholarPubMed
van Werkhoven, CH, van der Tempel, J, Jajou, R, et al. Identification of patients at high risk for Clostridium difficile infection: development and validation of a risk prediction model in hospitalized patients treated with antibiotics. Clin Microbiol Infect 2015;21:786788.10.1016/j.cmi.2015.04.005CrossRefGoogle ScholarPubMed
Ramesh, MS, Yee, J. Clostridioides difficile infection in chronic kidney disease/end-stage renal disease. Adv Chronic Kidney Dis 2019;26:3034.10.1053/j.ackd.2019.01.001CrossRefGoogle ScholarPubMed
Mor, A, Berencsi, K, Nielsen, JS, et al. Rates of community-based antibiotic prescriptions and hospital-treated infections in individuals with and without type 2 diabetes: a Danish nationwide cohort study, 2004–2012. Clin Infect Dis 2016;63:501511.10.1093/cid/ciw345CrossRefGoogle ScholarPubMed
Kim, EJ, Ha, KH, Kim, DJ, Choi, YH. Diabetes and the risk of infection: a national cohort study. Diabetes Metab J 2019;43:804814.10.4093/dmj.2019.0071CrossRefGoogle ScholarPubMed
Chang, CH, Fan, PC, Kuo, G, et al. Infection in advanced chronic kidney disease and subsequent adverse outcomes after dialysis initiation: a nationwide cohort study. Sci Rep 2020;10:2938.10.1038/s41598-020-59794-7CrossRefGoogle ScholarPubMed
Fleming-Dutra, KE, Hersh, AL, Shapiro, DJ, et al. Prevalence of inappropriate antibiotic prescriptions among US ambulatory care visits, 2010–2011. JAMA 2016;315:18641873.10.1001/jama.2016.4151CrossRefGoogle ScholarPubMed
Zanichelli, V, Garenc, C, Villeneuve, J, et al. Increased community-associated Clostridioides difficile infections in Quebec, Canada, 2008–2015. Emerg Infect Dis 2020;26:12911294.10.3201/eid2606.190233CrossRefGoogle ScholarPubMed
Turner, NA, Grambow, SC, Woods, CW, et al. Epidemiologic trends in Clostridioides difficile infections in a regional community hospital network. JAMA Netw Open 2019;2:e1914149.10.1001/jamanetworkopen.2019.14149CrossRefGoogle Scholar
Russo, EM, Kuntz, J, Yu, H, et al. Incidence of Clostridioides difficile infections among young and middle-aged adults: Veterans’ Health Administration. Infect Control Hosp Epidemiol 2019;40:9971005.10.1017/ice.2019.160CrossRefGoogle Scholar
Pollack, LA, van Santen, KL, Weiner, LM, Dudeck, MA, Edwards, JR, Srinivasan, A. Antibiotic stewardship programs in US acute-care hospitals: findings from the 2014 National Healthcare Safety Network Annual Hospital Survey. Clin Infect Dis 2016;63:443449.10.1093/cid/ciw323CrossRefGoogle ScholarPubMed
Neuhauser, M. Antibiotic stewardship: optimizing antibiotic use in inpatient setting. Annual NHSN Training—March 29, 2019. Centers for Disease Control and Prevention website. https://www.cdc.gov/nhsn/pdfs/training/2019/antibiotic-stewardship-508.pdf. Accessed June 11, 2022.Google Scholar
Morgan, F, Belal, M, Lisa, B, Ford, F, LeMaitre, B, Psevdos, G. Antimicrobial stewardship program achieved marked decrease in Clostridium difficile infections in a veterans’ hospital. Am J Infect Control 2020;48:11191121.10.1016/j.ajic.2019.12.023CrossRefGoogle Scholar
Gaffin, N, Spellberg, B. Sustained reductions in unnecessary antimicrobial administration and hospital Clostridioides difficile rates via stewardship in a nonacademic setting. Infect Control Hosp Epidemiol 2021. doi: 10.1017/ice.2021.490.CrossRefGoogle Scholar
Tamma, PD, Miller, MA, Dullabh, P, et al. Association of a safety program for improving antibiotic use with antibiotic use and hospital-onset Clostridioides difficile infection rates among US hospitals. JAMA Netw Open 2021;4:e210235.10.1001/jamanetworkopen.2021.0235CrossRefGoogle ScholarPubMed
Eudy, JL, Pallotta, AM, Neuner, EA, et al. Antimicrobial stewardship practice in the ambulatory setting from a national cohort. Open Forum Infect Dis 2020;7:ofaa513.10.1093/ofid/ofaa513CrossRefGoogle ScholarPubMed
National survey reveals barriers to outpatient antibiotic stewardship efforts. Pew Trusts website. https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2020/08/national-survey-reveals-barriers-to-outpatient-antibiotic-stewardship-efforts. Published August 6, 2020. Accessed August 19, 2022.Google Scholar
Sanchez, GV, Fleming-Dutra, KE, Roberts, RM, Hicks, LA. Core elements of outpatient antibiotic stewardship. MMWR Recomm Rep 2016;65:112.10.15585/mmwr.rr6506a1CrossRefGoogle ScholarPubMed
Polage, CR, Gyorke, CE, Kennedy, MA, et al. Overdiagnosis of Clostridium difficile infection in the molecular test era. JAMA Int Med 2015;175:17921801.10.1001/jamainternmed.2015.4114CrossRefGoogle ScholarPubMed
Kang, M, Abeles, SR, El-Kareh, R, et al. The effect of Clostridioides difficile diagnostic stewardship interventions on the diagnosis of hospital-onset Clostridioides difficile infections. Jt Comm J Qual Patient Saf 2020;46:457463.Google ScholarPubMed
Cook, PP, Nichols, S, Coogan, M, Opera, J, DeHart, M. Reduction in testing and change in testing algorithm associated with decrease in number of nosocomial Clostridioides (Clostridium) difficile infections. Am J Infect Control 2020;48:10191022.10.1016/j.ajic.2019.12.028CrossRefGoogle ScholarPubMed
Supplementary material: File

Olsen et al. supplementary material

Tables S1-S5 and Figures S1-S2

Download Olsen et al. supplementary material(File)
File 89.7 KB