The 30-Day Economic Burden of Newly Diagnosed Complicated Urinary Tract Infections in Medicare Fee-for-Service Patients Who Resided in the Community
Abstract
:1. Introduction
2. Methods
3. Results
4. Discussion
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
- Agency for Healthcare Research and Quality (AHRQ); Healthcare Cost and Utilization Project (HCUP); National Inpatient Sample (NIS). Most Frequent Principal Diagnoses for Inpatient Stays in U.S. Hospitals. 2018. Available online: https://www.hcup-us.ahrq.gov/reports/statbriefs/sb277-Top-Reasons-Hospital-Stays-2018.pdf (accessed on 24 February 2022).
- Foxman, B. Urinary tract infection syndromes: Occurrence, recurrence, bacteriology, risk factors, and disease burden. Infect. Dis. Clin. N. Am. 2014, 28, 1–13. [Google Scholar] [CrossRef]
- Flores-Mireles, A.L.; Walker, J.N.; Caparon, M.; Hultgren, S.J. Urinary tract infections: Epidemiology, mechanisms of infection and treatment options. Nat. Rev. Microbiol. 2015, 13, 269–284. [Google Scholar] [CrossRef]
- Carreno, J.J.; Tam, I.M.; Meyers, J.L.; Esterberg, E.; Candrilli, S.D.; Lodise, T.P., Jr. Longitudinal, Nationwide, Cohort Study to Assess Incidence, Outcomes, and Costs Associated with Complicated Urinary Tract Infection. Open. Forum. Infect. Dis. 2019, 6, ofz446. [Google Scholar] [CrossRef] [Green Version]
- Shallcross, L.; Rockenschaub, P.; Blackburn, R.; Nazareth, I.; Freemantle, N.; Hayward, A. Antibiotic prescribing for lower UTI in elderly patients in primary care and risk of bloodstream infection: A cohort study using electronic health records in England. PLoS Med. 2020, 17, e1003336. [Google Scholar] [CrossRef]
- Gharbi, M.; Drysdale, J.H.; Lishman, H.; Goudie, R.; Molokhia, M.; Johnson, A.P.; Holmes, A.H.; Aylin, P. Antibiotic management of urinary tract infection in elderly patients in primary care and its association with bloodstream infections and all cause mortality: Population based cohort study. BMJ 2019, 364, l525. [Google Scholar] [CrossRef] [Green Version]
- Linhares, I.; Raposo, T.; Rodrigues, A.; Almeida, A. Frequency and antimicrobial resistance patterns of bacteria implicated in community urinary tract infections: A ten-year surveillance study (2000–2009). BMC Infect. Dis. 2013, 13, 19. [Google Scholar] [CrossRef] [Green Version]
- Wagenlehner, F.M.; Lichtenstern, C.; Rolfes, C.; Mayer, K.; Uhle, F.; Weidner, W.; Weigand, M.A. Diagnosis and management for urosepsis. Int. J. Urol. 2013, 20, 963–970. [Google Scholar] [CrossRef]
- Martin, G.S.; Mannino, D.M.; Moss, M. The effect of age on the development and outcome of adult sepsis. Crit. Care Med. 2006, 34, 15–21. [Google Scholar] [CrossRef]
- Tal, S.; Guller, V.; Levi, S.; Bardenstein, R.; Berger, D.; Gurevich, I.; Gurevich, A. Profile and prognosis of febrile elderly patients with bacteremic urinary tract infection. J. Infect. 2005, 50, 296–305. [Google Scholar] [CrossRef]
- Rodriguez-Manas, L. Urinary tract infections in the elderly: A review of disease characteristics and current treatment options. Drugs Context 2020, 9, 13. [Google Scholar] [CrossRef]
- Turner, R.M.; Wu, B.; Lawrence, K.; Hackett, J.; Karve, S.; Tunceli, O. Assessment of Outpatient and Inpatient Antibiotic Treatment Patterns and Health Care Costs of Patients with Complicated Urinary Tract Infections. Clin. Ther. 2015, 37, 2037–2047. [Google Scholar] [CrossRef]
- Henry J Kaiser Family Foundation (KFF). Analysis of Medicare Spending Data from the 2009–2019 Annual Report of the Boards of Trustees of the Federal Hospital Insurance and Federal Supplementary Medical Insurance Trust Funds, Table II.B1. Available online: https://files.kff.org/attachment/Issue-Brief-Facts-on-Medicaid-Spending-and-Financing (accessed on 26 February 2022).
- Lodise, T.; Ye, M.J.; Zhao, Q. Prevalence of Invasive Infections due to Carbapenem-Resistant Enterobacteriaceae among Adult Patients in U.S. Hospitals. Antimicrob. Agents Chemother. 2017, 61, e00228-17. [Google Scholar] [CrossRef] [Green Version]
- Deyo, R.A.; Cherkin, D.C.; Ciol, M.A. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J. Clin. Epidemiol. 1992, 45, 613–619. [Google Scholar] [CrossRef]
- Centers for Medicare & Medicaid Services (CMS). CMS Program Statistics. Available online: https://www.kff.org/medicare/state-indicator/per-enrollee-spending-by-residence/?currentTimeframe=1&selectedRows=%7B%22wrapups%22:%7B%22united-states%22:%7B%7D%7D%7D&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D (accessed on 7 January 2021).
- Rowe, T.A.; Juthani-Mehta, M. Urinary tract infection in older adults. Aging Health 2013, 9. [Google Scholar] [CrossRef] [Green Version]
- Gould, C.V.; Umscheid, C.A.; Agarwal, R.K.; Kuntz, G.; Pegues, D.A.; Healthcare Infection Control Practices Advisory Committee. Guideline for prevention of catheter-associated urinary tract infections 2009. Infect. Control Hosp. Epidemiol. 2010, 31, 319–326. [Google Scholar] [CrossRef] [Green Version]
- Dumkow, L.E.; Kenney, R.M.; MacDonald, N.C.; Carreno, J.J.; Malhotra, M.K.; Davis, S.L. Impact of a Multidisciplinary Culture Follow-up Program of Antimicrobial Therapy in the Emergency Department. Infect. Dis. Ther. 2014, 3, 45–53. [Google Scholar] [CrossRef] [Green Version]
- Schrock, J.W.; Reznikova, S.; Weller, S. The effect of an observation unit on the rate of ED admission and discharge for pyelonephritis. Am. J. Emerg. Med. 2010, 28, 682–688. [Google Scholar] [CrossRef]
- Kim, K.; Lee, C.C.; Rhee, J.E.; Suh, G.J.; Lee, H.J.; Kim, H.B.; Singer, A.J. The effects of an institutional care map on the admission rates and medical costs in women with acute pyelonephritis. Acad. Emerg. Med. 2008, 15, 319–323. [Google Scholar] [CrossRef]
- Elkharrat, D.; Chastang, C.; Boudiaf, M.; Le Corre, A.; Raskine, L.; Caulin, C. Relevance in the emergency department of a decisional algorithm for outpatient care of women with acute pyelonephritis. Eur. J. Emerg. Med. 1999, 6, 15–20. [Google Scholar]
- Ward, G.; Jorden, R.C.; Severance, H.W. Treatment of pyelonephritis in an observation unit. Ann. Emerg. Med. 1991, 20, 258–261. [Google Scholar] [CrossRef]
- Dumkow, L.E.; Beuschel, T.S.; Brandt, K.L. Expanding Antimicrobial Stewardship to Urgent Care Centers through a Pharmacist-Led Culture Follow-up Program. Infect. Dis. Ther. 2017, 6, 453–459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lodise, T.P.; Chopra, T.; Nathanson, B.H.; Sulham, K. Hospital admission patterns of adult patients with complicated urinary tract infections who present to the hospital by disease acuity and comorbid conditions: How many admissions are potentially avoidable? Am. J. Infect. Control 2021, 49, 1528–1534. [Google Scholar] [CrossRef] [PubMed]
- Critchley, I.A.; Cotroneo, N.; Pucci, M.J.; Mendes, R. The burden of antimicrobial resistance among urinary tract isolates of Escherichia coli in the United States in 2017. PLoS ONE 2019, 14, e0220265. [Google Scholar] [CrossRef] [PubMed]
- Rank, E.L.; Lodise, T.; Avery, L.; Bankert, E.; Dobson, E.; Dumyati, G.; Hassett, S.; Keller, M.; Pearsall, M.; Lubowski, T.; et al. Antimicrobial Susceptibility Trends Observed in Urinary Pathogens Obtained from New York State. Open Forum Infect. Dis. 2018, 5, ofy297. [Google Scholar] [CrossRef]
- Sanchez, G.V.; Babiker, A.; Master, R.N.; Luu, T.; Mathur, A.; Bordon, J. Antibiotic Resistance among Urinary Isolates from Female Outpatients in the United States in 2003 and 2012. Antimicrob. Agents Chemother. 2016, 60, 2680–2683. [Google Scholar] [CrossRef] [Green Version]
- Mansour, O.; Keller, S.; Katz, M.; Townsend, J.L. Outpatient Parenteral Antimicrobial Therapy in the Time of COVID-19: The Urgent Need for Better Insurance Coverage. Open Forum.Infect. Dis. 2020, 7, ofaa287. [Google Scholar] [CrossRef]
- Underwood, J.; Marks, M.; Collins, S.; Logan, S.; Pollara, G. Intravenous catheter-related adverse events exceed drug-related adverse events in outpatient parenteral antimicrobial therapy. J. Antimicrob. Chemother. 2019, 74, 787–790. [Google Scholar] [CrossRef]
- Means, L.; Bleasdale, S.; Sikka, M.; Gross, A.E. Predictors of Hospital Readmission in Patients Receiving Outpatient Parenteral Antimicrobial Therapy. Pharmacotherapy 2016, 36, 934–939. [Google Scholar] [CrossRef]
- Lane, M.A.; Marschall, J.; Beekmann, S.E.; Polgreen, P.M.; Banerjee, R.; Hersh, A.L.; Babcock, H.M. Outpatient parenteral antimicrobial therapy practices among adult infectious disease physicians. Infect. Control Hosp. Epidemiol. 2014, 35, 839–844. [Google Scholar] [CrossRef] [Green Version]
- Krah, N.M.; Bardsley, T.; Nelson, R.; Esquibel, L.; Crosby, M.; Byington, C.L.; Pavia, A.T.; Hersh, A.L. Economic Burden of Home Antimicrobial Therapy: OPAT versus Oral Therapy. Hosp. Pediatr. 2019, 9, 234–240. [Google Scholar] [CrossRef] [Green Version]
- Keller, S.C.; Wang, N.Y.; Salinas, A.; Williams, D.; Townsend, J.; Cosgrove, S.E. Which Patients Discharged to Home-Based Outpatient Parenteral Antimicrobial Therapy Are at High Risk of Adverse Outcomes? Open Forum Infect. Dis. 2020, 7, ofaa178. [Google Scholar] [CrossRef] [PubMed]
- Keller, S.C.; Cosgrove, S.E.; Arbaje, A.I.; Chang, R.H.; Krosche, A.; Williams, D.; Gurses, A.P. It’s Complicated: Patient and Informal Caregiver Performance of Outpatient Parenteral Antimicrobial Therapy-Related Tasks. Am. J. Med. Qual. 2020, 35, 133–146. [Google Scholar] [CrossRef] [PubMed]
- Hale, C.M.; Steele, J.M.; Seabury, R.W.; Miller, C.D. Characterization of Drug-Related Problems Occurring in Patients Receiving Outpatient Antimicrobial Therapy. J. Pharm. Pract. 2017, 30, 600–605. [Google Scholar] [CrossRef] [PubMed]
- Durojaiye, O.C.; Kritsotakis, E.I.; Johnston, P.; Kenny, T.; Ntziora, F.; Cartwright, K. Developing a risk prediction model for 30-day unplanned hospitalization in patients receiving outpatient parenteral antimicrobial therapy. Clin. Microbiol. Infect. 2019, 25, 905.e1–905.e7. [Google Scholar] [CrossRef]
- Allison, G.M.; Muldoon, E.G.; Kent, D.M.; Paulus, J.K.; Ruthazer, R.; Ren, A.; Snydman, D.R. Prediction model for 30-day hospital readmissions among patients discharged receiving outpatient parenteral antibiotic therapy. Clin. Infect. Dis. 2014, 58, 812–819. [Google Scholar] [CrossRef] [Green Version]
- Tian, W. An All-Payer View of Hospital Discharge to Postacute Care, 2013. HCUP Statistical Brief #205; Agency for Healthcare Research and Quality, : Rockville, MD, USA, May 2016. Available online: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb205-Hospital-Discharge-Postacute-Care.pdf (accessed on 31 March 2022).
- Veeraraghavan, B.; Bakthavatchalam, Y.D.; Sahni, R.D. Oral Antibiotics in Clinical Development for Community-Acquired Urinary Tract Infections. Infect. Dis. Ther. 2021, 10, 1815–1835. [Google Scholar] [CrossRef]
- Wiese, A.D.; Griffin, M.R.; Stein, C.M.; Schaffner, W.; Greevy, R.A.; Mitchel, E.F., Jr.; Grijalva, C.G. Validation of discharge diagnosis codes to identify serious infections among middle age and older adults. BMJ Open. 2018, 8, e020857. [Google Scholar] [CrossRef] [Green Version]
- Schneeweiss, S.; Robicsek, A.; Scranton, R.; Zuckerman, D.; Solomon, D.H. Veteran’s affairs hospital discharge databases coded serious bacterial infections accurately. J. Clin. Epidemiol. 2007, 60, 397–409. [Google Scholar] [CrossRef]
- Henry, J.; Kaiser Family Foundation. A Primer on Medicare March 2015 Key Facts about the Medicare Program and the People It Covers. Available online: https://files.kff.org/attachment/report-a-primer-on-medicare-key-facts-about-the-medicare-program-and-the-people-it-covers (accessed on 22 February 2022).
- American Hospital Association. Underpayment by Medicare and Medicaid Fact Sheet—January 2019. Available online: https://www.aha.org/factsheet/2019-01-02-underpayment-medicare-and-medicaid-fact-sheet-january-2019 (accessed on 31 March 2022).
Characteristics | Patients | |
---|---|---|
(N = 723,324) | ||
Age Distribution | n | (%) |
<65 | 93,459 | (12.9%) |
65–74 | 211,279 | (29.2%) |
75–84 | 253,524 | (35.0%) |
85+ | 165,062 | (22.8%) |
Sex | ||
Male | 441,452 | (61.0%) |
Female | 256,878 | (35.5%) |
Unknown | 24,994 | (3.5%) |
Race | ||
Non-Hispanic White | 575,316 | (79.5%) |
Black | 49,713 | (6.9%0 |
Hispanic | 39,770 | (5.5%) |
Asian/Pacific Islander | 17,163 | (2.4%) |
Other/Unknown | 41,362 | (5.7%) |
Dual eligible status | ||
Full dual | 95,311 | (13.2%) |
Partial dual | 27,145 | (3.8%) |
Non-dual | 600,868 | (83.1%) |
Low-income subsidy (LIS) status | ||
Full LIS | 124,354 | (17.2%) |
Partial LIS | 14,604 | (2.0%) |
No LIS | 584,366 | (80.8%) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lodise, T.P.; Nowak, M.; Rodriguez, M. The 30-Day Economic Burden of Newly Diagnosed Complicated Urinary Tract Infections in Medicare Fee-for-Service Patients Who Resided in the Community. Antibiotics 2022, 11, 578. https://doi.org/10.3390/antibiotics11050578
Lodise TP, Nowak M, Rodriguez M. The 30-Day Economic Burden of Newly Diagnosed Complicated Urinary Tract Infections in Medicare Fee-for-Service Patients Who Resided in the Community. Antibiotics. 2022; 11(5):578. https://doi.org/10.3390/antibiotics11050578
Chicago/Turabian StyleLodise, Thomas P., Michael Nowak, and Mauricio Rodriguez. 2022. "The 30-Day Economic Burden of Newly Diagnosed Complicated Urinary Tract Infections in Medicare Fee-for-Service Patients Who Resided in the Community" Antibiotics 11, no. 5: 578. https://doi.org/10.3390/antibiotics11050578
APA StyleLodise, T. P., Nowak, M., & Rodriguez, M. (2022). The 30-Day Economic Burden of Newly Diagnosed Complicated Urinary Tract Infections in Medicare Fee-for-Service Patients Who Resided in the Community. Antibiotics, 11(5), 578. https://doi.org/10.3390/antibiotics11050578