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Published in: BMC Infectious Diseases 1/2019

Open Access 01-12-2019 | Community-Acquired Pneumonia | Research article

Measuring the in-hospital costs of Pseudomonas aeruginosa pneumonia: methodology and results from a German teaching hospital

Authors: Klaus Kaier, Thomas Heister, Tim Götting, Martin Wolkewitz, Nico T. Mutters

Published in: BMC Infectious Diseases | Issue 1/2019

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Abstract

Background

Pseudomonas aeruginosa-related pneumonia is an ongoing healthcare challenge. Estimating its financial burden is complicated by the time-dependent nature of the disease.

Methods

Two hundred thirty-six cases of Pseudomonas aeruginosa-related pneumonia were recorded at a 2000 bed German teaching hospital between 2011 and 2014. Thirty-five cases (15%) were multidrug-resistant (MDR) Pseudomonas aeruginosa. Hospital- and community-acquired cases were distinguished by main diagnoses and exposure time. The impact of Pseudomonas aeruginosa-related pneumonia on the three endpoints cost, reimbursement, and length of stay was analyzed, taking into account (1) the time-dependent nature of exposure, (2) clustering of costs within diagnostic groups, and (3) additional confounders.

Results

Pseudomonas aeruginosa pneumonia is associated with substantial additional costs that are not fully reimbursed. Costs are highest for hospital-acquired cases (€19,000 increase over uninfected controls). However, community-acquired cases are also associated with a substantial burden (€8400 when Pseudomonas aeruginosa pneumonia is the main reason for hospitalization, and €6700 when not). Sensitivity analyses for hospital-acquired cases showed that ignoring or incorrectly adjusting for time-dependency substantially biases results. Furthermore, multidrug-resistance was rare and only showed a measurable impact on the cost of community-acquired cases.

Conclusions

Pseudomonas aeruginosa pneumonia creates a substantial financial burden for hospitals. This is particularly the case for nosocomial infections. Infection control interventions could yield significant cost reductions. However, to evaluate the potential effectiveness of different interventions, the time-dependent aspects of incremental costs must be considered to avoid introduction of bias.
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Literature
1.
go back to reference Ramirez J, Wiemken T, Paula P, Forest A, Robert K, William M, et al. Adults hospitalized with pneumonia in the United States: incidence, epidemiology, and mortality. Clin Infect Dis. 2017;65(11):1806–12.CrossRef Ramirez J, Wiemken T, Paula P, Forest A, Robert K, William M, et al. Adults hospitalized with pneumonia in the United States: incidence, epidemiology, and mortality. Clin Infect Dis. 2017;65(11):1806–12.CrossRef
2.
go back to reference Welte T, Torres A, Nathwani D. Clinical and economic burden of community-acquired pneumonia among adults in Europe. Thorax. 2012;67(1):71–9.CrossRef Welte T, Torres A, Nathwani D. Clinical and economic burden of community-acquired pneumonia among adults in Europe. Thorax. 2012;67(1):71–9.CrossRef
3.
go back to reference Rello J, Ollendorf DA, Oster G, Vera-Llonch M, Bellm L, Redman R, et al. Epidemiology and outcomes of ventilator-associated pneumonia in a large US database. Chest. 2002;122(6):2115–21.CrossRef Rello J, Ollendorf DA, Oster G, Vera-Llonch M, Bellm L, Redman R, et al. Epidemiology and outcomes of ventilator-associated pneumonia in a large US database. Chest. 2002;122(6):2115–21.CrossRef
4.
go back to reference Giuliano KK, Baker D, Quinn B. The epidemiology of nonventilator hospital-acquired pneumonia in the United States. Am J Infect Control. 2017;46(3):322.CrossRef Giuliano KK, Baker D, Quinn B. The epidemiology of nonventilator hospital-acquired pneumonia in the United States. Am J Infect Control. 2017;46(3):322.CrossRef
5.
go back to reference Eber MR. Clinical and economic outcomes attributable to health care–associated Sepsis and pneumonia. Arch Intern Med. 2010;170(4):347.CrossRef Eber MR. Clinical and economic outcomes attributable to health care–associated Sepsis and pneumonia. Arch Intern Med. 2010;170(4):347.CrossRef
6.
go back to reference Muscedere JG, Martin CM, Heyland DK. The impact of ventilator-associated pneumonia on the Canadian health care system. J Crit Care. 2008;23(1):5–10.CrossRef Muscedere JG, Martin CM, Heyland DK. The impact of ventilator-associated pneumonia on the Canadian health care system. J Crit Care. 2008;23(1):5–10.CrossRef
7.
go back to reference Jones RN. Microbial etiologies of hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia. Clin Infect Dis. 2010;51(S1):S81–7.CrossRef Jones RN. Microbial etiologies of hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia. Clin Infect Dis. 2010;51(S1):S81–7.CrossRef
8.
go back to reference Ruuskanen O, Lahti E, Jennings LC, Murdoch DR. Viral pneumonia. Lancet. 2011;377(9773):1264–75.CrossRef Ruuskanen O, Lahti E, Jennings LC, Murdoch DR. Viral pneumonia. Lancet. 2011;377(9773):1264–75.CrossRef
9.
10.
go back to reference Honkinen M, Lahti E, Österback R, Ruuskanen O, Waris M. Viruses and bacteria in sputum samples of children with community-acquired pneumonia. Clin Microbiol Infect. 2012;18(3):300–7.CrossRef Honkinen M, Lahti E, Österback R, Ruuskanen O, Waris M. Viruses and bacteria in sputum samples of children with community-acquired pneumonia. Clin Microbiol Infect. 2012;18(3):300–7.CrossRef
11.
go back to reference Kollef MH, Shorr A, Tabak YP, Gupta V, Liu LZ, Johannes RS. Epidemiology and outcomes of health-care–associated pneumonia. Chest. 2005;128(6):3854–62.CrossRef Kollef MH, Shorr A, Tabak YP, Gupta V, Liu LZ, Johannes RS. Epidemiology and outcomes of health-care–associated pneumonia. Chest. 2005;128(6):3854–62.CrossRef
12.
go back to reference Kyaw MH, Kern DM, Zhou S, Tunceli O, Jafri HS, Falloon J. Healthcare utilization and costs associated with S. aureus and P. aeruginosa pneumonia in the intensive care unit: a retrospective observational cohort study in a US claims database. BMC Health Serv Res. 2015;15(1):241.CrossRef Kyaw MH, Kern DM, Zhou S, Tunceli O, Jafri HS, Falloon J. Healthcare utilization and costs associated with S. aureus and P. aeruginosa pneumonia in the intensive care unit: a retrospective observational cohort study in a US claims database. BMC Health Serv Res. 2015;15(1):241.CrossRef
13.
go back to reference Driscoll JA, Brody SL, Kollef MH. The epidemiology, Pathogenesis and Treatment of Pseudomonas aeruginosa Infections. Drugs. 2007;67(3):351–68.CrossRef Driscoll JA, Brody SL, Kollef MH. The epidemiology, Pathogenesis and Treatment of Pseudomonas aeruginosa Infections. Drugs. 2007;67(3):351–68.CrossRef
14.
go back to reference Arancibia F, Bauer TT, Ewig S, Mensa J, Gonzalez J, Niederman MS, et al. Community-acquired pneumonia due to gram-negative Bacteria and Pseudomonas aeruginosa: incidence, risk, and prognosis. Arch Intern Med. 2002;162(16):1849.CrossRef Arancibia F, Bauer TT, Ewig S, Mensa J, Gonzalez J, Niederman MS, et al. Community-acquired pneumonia due to gram-negative Bacteria and Pseudomonas aeruginosa: incidence, risk, and prognosis. Arch Intern Med. 2002;162(16):1849.CrossRef
15.
go back to reference Kaier K, Wolkewitz M, Heister T. Estimating the attributable costs of hospital-acquired infections requires a distinct categorization of cases based on time of infection. Am J Infect Control. 2018;46(6):729.CrossRef Kaier K, Wolkewitz M, Heister T. Estimating the attributable costs of hospital-acquired infections requires a distinct categorization of cases based on time of infection. Am J Infect Control. 2018;46(6):729.CrossRef
16.
go back to reference Barnett AG, Beyersmann J, Allignol A, Rosenthal VD, Graves N, Wolkewitz M. The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health. 2011;14(2):381–6.CrossRef Barnett AG, Beyersmann J, Allignol A, Rosenthal VD, Graves N, Wolkewitz M. The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health. 2011;14(2):381–6.CrossRef
17.
go back to reference Wolkewitz M, Beyersmann J, Gastmeier P, Schumacher M. Efficient risk set sampling when a time-dependent exposure is present. Methods Inf Med. 2009;48(5):438–43.CrossRef Wolkewitz M, Beyersmann J, Gastmeier P, Schumacher M. Efficient risk set sampling when a time-dependent exposure is present. Methods Inf Med. 2009;48(5):438–43.CrossRef
18.
go back to reference Schumacher M, Allignol A, Beyersmann J, Binder N, Wolkewitz M. Hospital-acquired infections—appropriate statistical treatment is urgently needed! Int J Epidemiol. 2013;42:1502–8.CrossRef Schumacher M, Allignol A, Beyersmann J, Binder N, Wolkewitz M. Hospital-acquired infections—appropriate statistical treatment is urgently needed! Int J Epidemiol. 2013;42:1502–8.CrossRef
19.
go back to reference Mehrotra P, Jang J, Gidengil C, Sandora TJ. Attributable cost of Clostridium difficile infection in pediatric patients. Infect Control Hosp Epidemiol. 2017;38(12):1472–7.CrossRef Mehrotra P, Jang J, Gidengil C, Sandora TJ. Attributable cost of Clostridium difficile infection in pediatric patients. Infect Control Hosp Epidemiol. 2017;38(12):1472–7.CrossRef
20.
go back to reference Andersen PK, Keiding N. Interpretability and importance of functionals in competing risks and multistate models. Stat Med. 2012;31(11–12):1074–88.CrossRef Andersen PK, Keiding N. Interpretability and importance of functionals in competing risks and multistate models. Stat Med. 2012;31(11–12):1074–88.CrossRef
21.
go back to reference Heister T, Wolkewitz M, Kaier K. Estimating the additional costs of surgical site infections: length bias, time-dependent bias, and conditioning on the future. J Hosp Infect. 2018;99(1):103–4.CrossRef Heister T, Wolkewitz M, Kaier K. Estimating the additional costs of surgical site infections: length bias, time-dependent bias, and conditioning on the future. J Hosp Infect. 2018;99(1):103–4.CrossRef
22.
go back to reference Arkes HR, Wortmann RL, Saville PD, Harkness AR. Hindsight bias among physicians weighing the likelihood of diagnoses. J Appl Psychol. 1981;66(2):252–4.CrossRef Arkes HR, Wortmann RL, Saville PD, Harkness AR. Hindsight bias among physicians weighing the likelihood of diagnoses. J Appl Psychol. 1981;66(2):252–4.CrossRef
23.
go back to reference Heister T, Kaier K, Wolkewitz M. Estimating the burden of nosocomial infections: time dependency and cost clustering should be taken into account. Am J Infect Control. 2017;45(1):94–5.CrossRef Heister T, Kaier K, Wolkewitz M. Estimating the burden of nosocomial infections: time dependency and cost clustering should be taken into account. Am J Infect Control. 2017;45(1):94–5.CrossRef
24.
go back to reference Resch A, Wilke M, Fink C. The cost of resistance: incremental cost of methicillin-resistant Staphylococcus aureus (MRSA) in German hospitals. Eur J Health Econ. 2009;10(3):287–97.CrossRef Resch A, Wilke M, Fink C. The cost of resistance: incremental cost of methicillin-resistant Staphylococcus aureus (MRSA) in German hospitals. Eur J Health Econ. 2009;10(3):287–97.CrossRef
25.
go back to reference Noskin GA, Rubin RJ, Schentag JJ, Kluytmans J, Hedblom EC, Smulders M, et al. The burden of Staphylococcus aureus infections on hospitals in the United States: an analysis of the 2000 and 2001 Nationwide inpatient sample database. Arch Intern Med. 2005;165(15):1756–61.CrossRef Noskin GA, Rubin RJ, Schentag JJ, Kluytmans J, Hedblom EC, Smulders M, et al. The burden of Staphylococcus aureus infections on hospitals in the United States: an analysis of the 2000 and 2001 Nationwide inpatient sample database. Arch Intern Med. 2005;165(15):1756–61.CrossRef
26.
go back to reference Quentin W, Geissler A, Scheller-Kreinsen D, Busse R. DRG-type hospital payment in Germany: the G-DRG system. Euro Obs. 2010;12(3):4–6. Quentin W, Geissler A, Scheller-Kreinsen D, Busse R. DRG-type hospital payment in Germany: the G-DRG system. Euro Obs. 2010;12(3):4–6.
27.
go back to reference Vogl M. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany. Heal Econ Rev. 2012;2(1):15.CrossRef Vogl M. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: the case of Germany. Heal Econ Rev. 2012;2(1):15.CrossRef
28.
go back to reference Ewig S. The pneumonia triad. Community-Acquired Pneumonia. Eur Respir Monogr. 2014;63:13–24. Ewig S. The pneumonia triad. Community-Acquired Pneumonia. Eur Respir Monogr. 2014;63:13–24.
29.
go back to reference Ewig S, Höffken G, Kern WV, Rohde G, Flick H, Krause R, et al. Behandlung von erwachsenen Patienten mit ambulant erworbener Pneumonie und Prävention–Update 2016. Pneumologie. 2016;70(03):151–200.CrossRef Ewig S, Höffken G, Kern WV, Rohde G, Flick H, Krause R, et al. Behandlung von erwachsenen Patienten mit ambulant erworbener Pneumonie und Prävention–Update 2016. Pneumologie. 2016;70(03):151–200.CrossRef
30.
go back to reference Harrell FE Jr. Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis. Heidelberg: Springer; 2015. Harrell FE Jr. Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis. Heidelberg: Springer; 2015.
31.
go back to reference Blot S, De Bacquer D, Hoste E, Depuydt P, Vandewoude K, De Waele J, et al. Influence of matching for exposure time on estimates of attributable mortality caused by nosocomial bacteremia in critically ill patients. Infect Control Hosp Epidemiol. 2005;26(04):352–6.CrossRef Blot S, De Bacquer D, Hoste E, Depuydt P, Vandewoude K, De Waele J, et al. Influence of matching for exposure time on estimates of attributable mortality caused by nosocomial bacteremia in critically ill patients. Infect Control Hosp Epidemiol. 2005;26(04):352–6.CrossRef
32.
go back to reference Gandra S, Barter DM, Laxminarayan R. Economic burden of antibiotic resistance: how much do we really know? Clin Microbiol Infect. 2014;20(10):973–80.CrossRef Gandra S, Barter DM, Laxminarayan R. Economic burden of antibiotic resistance: how much do we really know? Clin Microbiol Infect. 2014;20(10):973–80.CrossRef
33.
go back to reference Nelson RE, Samore MH, Jones M, Greene T, Stevens VW, Liu C-F, et al. Reducing time-dependent Bias in estimates of the attributable cost of health care–associated methicillin-resistant Staphylococcus aureus infections. Med Care. 2015;53(9):827–34.CrossRef Nelson RE, Samore MH, Jones M, Greene T, Stevens VW, Liu C-F, et al. Reducing time-dependent Bias in estimates of the attributable cost of health care–associated methicillin-resistant Staphylococcus aureus infections. Med Care. 2015;53(9):827–34.CrossRef
34.
go back to reference Heister T, Wolkewitz M, Kaier K. Determining the Attributable Costs of Clostridium difficile Infections When Exposure Time Is Lacking: Be Wary of “Conditioning on the Future”. Infect Control Hosp Epidemiol. 2018;39:759–60.CrossRef Heister T, Wolkewitz M, Kaier K. Determining the Attributable Costs of Clostridium difficile Infections When Exposure Time Is Lacking: Be Wary of “Conditioning on the Future”. Infect Control Hosp Epidemiol. 2018;39:759–60.CrossRef
35.
go back to reference Huang W, Qiao F, Zhang Y, Huang J, Deng Y, Li J, et al. In-hospital Medical Costs of Infections Caused by Carbapenem-resistant Klebsiella pneumoniae. Clin Infect Dis. 2018;67(suppl_2):S225–30.CrossRef Huang W, Qiao F, Zhang Y, Huang J, Deng Y, Li J, et al. In-hospital Medical Costs of Infections Caused by Carbapenem-resistant Klebsiella pneumoniae. Clin Infect Dis. 2018;67(suppl_2):S225–30.CrossRef
36.
go back to reference Kaier K, Mutters NT, Wolkewitz M. Measuring the financial burden of resistance: what should be compared? Clin Infect Dis. 2019;69:1082.CrossRef Kaier K, Mutters NT, Wolkewitz M. Measuring the financial burden of resistance: what should be compared? Clin Infect Dis. 2019;69:1082.CrossRef
37.
go back to reference Kaier K, Frank U. In search of useful methods for measuring health and economic consequences of antimicrobial resistance. Clin Infect Dis. 2013;57(8):1220–2.CrossRef Kaier K, Frank U. In search of useful methods for measuring health and economic consequences of antimicrobial resistance. Clin Infect Dis. 2013;57(8):1220–2.CrossRef
38.
go back to reference Ammerlaan HSM, Harbarth S, Buiting AGM, Crook DW, Fitzpatrick F, Hanberger H, et al. Secular trends in nosocomial bloodstream infections: antibiotic-resistant bacteria increase the total burden of infection. Clin Infect Dis. 2012;56(6):798–805.CrossRef Ammerlaan HSM, Harbarth S, Buiting AGM, Crook DW, Fitzpatrick F, Hanberger H, et al. Secular trends in nosocomial bloodstream infections: antibiotic-resistant bacteria increase the total burden of infection. Clin Infect Dis. 2012;56(6):798–805.CrossRef
39.
go back to reference Teillant A, Gandra S, Barter D, Morgan DJ, Laxminarayan R. Potential burden of antibiotic resistance on surgery and cancer chemotherapy antibiotic prophylaxis in the USA: a literature review and modelling study. Lancet Infect Dis. 2015;15(12):1429–37.CrossRef Teillant A, Gandra S, Barter D, Morgan DJ, Laxminarayan R. Potential burden of antibiotic resistance on surgery and cancer chemotherapy antibiotic prophylaxis in the USA: a literature review and modelling study. Lancet Infect Dis. 2015;15(12):1429–37.CrossRef
40.
go back to reference Wolkewitz M, Allignol A, Harbarth S, de Angelis G, Schumacher M, Beyersmann J. Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias. J Clin Epidemiol. 2012;65(11):1171–80.CrossRef Wolkewitz M, Allignol A, Harbarth S, de Angelis G, Schumacher M, Beyersmann J. Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias. J Clin Epidemiol. 2012;65(11):1171–80.CrossRef
Metadata
Title
Measuring the in-hospital costs of Pseudomonas aeruginosa pneumonia: methodology and results from a German teaching hospital
Authors
Klaus Kaier
Thomas Heister
Tim Götting
Martin Wolkewitz
Nico T. Mutters
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2019
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-019-4660-5

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