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      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

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          Abstract

          Background

          Staphylococcus aureus and Pseudomonas aeruginosa are major causes of pneumonia in intensive care unit (ICU) patients. Limited data exist regarding the health economic impact of S. aureus and P. aeruginosa pneumonias in the ICU setting.

          Methods

          We conducted a retrospective observational cohort study using a 29.6 million enrollee US medical and pharmacy administrative claims database. ICU patients with S. aureus or P. aeruginosa infection per International Classification of Diseases, 9th ed. coding between 01/01/2007-8/31/2012 were compared with ICU patients without any pneumonia or infections of interest. Primary outcomes were costs in 2012 US dollars, healthcare utilization and all-cause mortality associated with hospital-acquired S. aureus or P. aeruginosa pneumonia, and the relative odds of incurring higher costs due to a comorbid condition.

          Results

          Patients with S. aureus or P. aeruginosa pneumonia had longer mean hospital (37.9 or 55.4 vs 7.2 days, P < .001) and ICU stays (6.9 or 14.8 vs 1.1 days, P < .001), a higher rate of mechanical ventilation (62.6 % or 62.3 % vs 7.4 %, P < .001), higher mortality (16.0 % or 20.2 % vs 3.1 %, P < .001), and higher total mean hospitalization costs ($146,978 or $213,104 vs $33,851, P < .001) vs controls. Pneumonia survivors had significantly increased risk of rehospitalization within 30 days (27.2 % or 31.1 % vs 15.3 %, P < .001). Comorbid conditions were not associated with increased cost in the pneumonia cohorts.

          Conclusions

          Healthcare costs and resource utilization were high among ICU patients with S. aureus or P. aeruginosa pneumonia. Reducing the incidence of these infections could lead to substantial cost savings in the United States.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12913-015-0917-x) contains supplementary material, which is available to authorized users.

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          Most cited references23

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          Measuring diagnoses: ICD code accuracy.

          To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Main error sources along the "patient trajectory" include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the "paper trail" include variance in the electronic and written records, coder training and experience, facility quality-control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways.
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            Epidemiology and outcomes of health-care-associated pneumonia: results from a large US database of culture-positive pneumonia.

            Traditionally, pneumonia developing in patients outside the hospital is categorized as community acquired, even if these patients have been receiving health care in an outpatient facility. Accumulating evidence suggests that health-care-associated infections are distinct from those that are truly community acquired. To characterize the microbiology and outcomes among patients with culture-positive community-acquired pneumonia (CAP), health-care-associated pneumonia (HCAP), hospital-acquired pneumonia (HAP), and ventilator-associated pneumonia (VAP). A retrospective cohort study based on a large US inpatient database. A total of 4,543 patients with culture-positive pneumonia admitted into 59 US hospitals between January 1, 2002, and December 31, 2003, and recorded in a large, multi-institutional database of US acute-care hospitals (Cardinal Health-Atlas Research Database; Cardinal Health Clinical Knowledge Services; Marlborough, MA). Culture data (respiratory and blood), in-hospital mortality, length of hospital stay (LOS), and billed hospital charges. Approximately one half of hospitalized patients with pneumonia had CAP, and > 20% had HCAP. Staphylococcus aureus was a major pathogen in all pneumonia types, with its occurrence markedly higher in the non-CAP groups than in the CAP group. Mortality rates associated with HCAP (19.8%) and HAP (18.8%) were comparable (p > 0.05), and both were significantly higher than that for CAP (10%, all p < 0.0001) and lower than that for VAP (29.3%, all p < 0.0001). Mean LOS varied significantly with pneumonia category (in order of ascending values: CAP, HCAP, HAP, and VAP; all p < 0.0001). Similarly, mean hospital charge varied significantly with pneumonia category (in order of ascending value: CAP, HCAP, HAP, and VAP; all p < 0.0001). The present analysis justified HCAP as a new category of pneumonia. S aureus was a major pathogen of all pneumonias with higher rates in non-CAP pneumonias. Compared with CAP, non-CAP was associated with more severe disease, higher mortality rate, greater LOS, and increased cost.
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              Attributable hospital cost and length of stay associated with health care-associated infections caused by antibiotic-resistant gram-negative bacteria.

              Determination of the attributable hospital cost and length of stay (LOS) are of critical importance for patients, providers, and payers who must make rational and informed decisions about patient care and the allocation of resources. The objective of the present study was to determine the additional total hospital cost and LOS attributable to health care-associated infections (HAIs) caused by antibiotic-resistant, gram-negative (GN) pathogens. A single-center, retrospective, observational comparative cohort study was performed. The study involved 662 patients admitted from 2000 to 2008 who developed HAIs caused by one of following pathogens: Acinetobacter spp., Enterobacter spp., Escherichia coli, Klebsiella spp., or Pseudomonas spp. The attributable total hospital cost and LOS for HAIs caused by antibiotic-resistant GN pathogens were determined by comparison with the hospital costs and LOS for a control group with HAIs due to antibiotic-susceptible GN pathogens. Statistical analyses were conducted by using univariate and multivariate analyses. Twenty-nine percent of the HAIs were caused by resistant GN pathogens, and almost 16% involved a multidrug-resistant GN pathogen. The additional total hospital cost and LOS attributable to antibiotic-resistant HAIs caused by GN pathogens were 29.3% (P or=12 years, pneumonia, intensive care unit stay, and neutropenia. HAIs caused by antibiotic-resistant GN pathogens were associated with significantly higher total hospital costs and increased LOSs compared to those caused by their susceptible counterparts. This information should be used to assess the potential cost-efficacy of interventions aimed at the prevention of such infections.
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                Author and article information

                Contributors
                moe.kyaw@sanofipasteur.com
                dkern@healthcore.com
                szhou@healthcore.com
                otunceli@healthcore.com
                jafrih@medimmune.com
                falloonj@medimmune.com
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                21 June 2015
                21 June 2015
                2015
                : 15
                : 241
                Affiliations
                [ ]MedImmune, Gaithersburg, USA
                [ ]Current author address: Sanofi Pasteur, Swiftwater, PA USA
                [ ]Healthcore, Wilmington, DE USA
                Article
                917
                10.1186/s12913-015-0917-x
                4475310
                ea1095de-4de0-4d60-ab41-739e7415dced
                © Kyaw et al. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 24 November 2014
                : 9 June 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Health & Social care
                icu,pneumonia,health economics,resource utilization,s. aureus,p. aeruginosa
                Health & Social care
                icu, pneumonia, health economics, resource utilization, s. aureus, p. aeruginosa

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