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Background: Hospitals will increasingly bear the costs for healthcare-acquired conditions such as infection. Our goals were to estimate the costs attributable to healthcare-acquired infection (HAI) and conduct a sensitivity analysis comparing analytic methods., Methods: A random sample of high-risk adults hospitalized in the year 2000 was selected. Measurements included total and variable medical costs, length of stay (LOS), HAI site, APACHE III score, antimicrobial resistance, and mortality. Medical costs were measured from the hospital perspective. Analytic methods included ordinary least squares linear regression and median quantile regression, Winsorizing, propensity score case matching, attributable LOS multiplied by mean daily cost, semi-log transformation, and generalized linear modeling. Three-state proportional hazards modeling was also used for LOS estimation. Attributable mortality was estimated using logistic regression., Results: Among 1253 patients, 159 (12.7%) developed HAI. Using different methods, attributable total costs ranged between $9310 to $21,013, variable costs were $1581 to $6824, LOS was 5.9 to 9.6 days, and attributable mortality was 6.1%. The semi-log transformation regression indicated that HAI doubles hospital cost. The totals for 159 patients were $1.48 to $3.34 million in medical cost and $5.27 million for premature death. Excess LOS totaled 844 to 1373 hospital days., Conclusions: Costs for HAI were considerable from hospital and societal perspectives. This suggests that HAI prevention expenditures would be balanced by savings in medical costs, lives saved and available hospital days that could be used by overcrowded hospitals to enhance available services. Our results obtained by applying different economic methods to a single detailed dataset may inform future cost analyses.

Background: Organisms resistant to antimicrobials continue to emerge and spread. This study was performed to measure the medical and societal cost attributable to antimicrobial-resistant infection (ARI)., Methods: A sample of high-risk hospitalized adult patients was selected. Measurements included ARI, total cost, duration of stay, comorbidities, acute pathophysiology, Acute Physiology and Chronic Health Evaluation III score, intensive care unit stay, surgery, health care-acquired infection, and mortality. Hospital services used and outcomes were abstracted from electronic and written medical records. Medical costs were measured from the hospital perspective. A sensitivity analysis including 3 study designs was conducted. Regression was used to adjust for potential confounding in the random sample and in the sample expanded with additional patients with ARI. Propensity scores were used to select matched control subjects for each patient with ARI for a comparison of mean cost for patients with and without ARI., Results: In a sample of 1391 patients, 188 (13.5%) had ARI. The medical costs attributable to ARI ranged from $18,588 to $29,069 per patient in the sensitivity analysis. Excess duration of hospital stay was 6.4-12.7 days, and attributable mortality was 6.5%. The societal costs were $10.7-$15.0 million. Using the lowest estimates from the sensitivity analysis resulted in a total cost of $13.35 million in 2008 dollars in this patient cohort., Conclusions: The attributable medical and societal costs of ARI are considerable. Data from this analysis could form the basis for a more comprehensive evaluation of the cost of resistance and the potential economic benefits of prevention programs.

Study Objective: We describe cases referred for physician review because of concern about quality of patient care and identify factors that contributed to patient care management problems., Methods: We performed a retrospective review of 636 cases investigated by an emergency department physician review committee at an urban public teaching hospital over a 15-year period. At referral, cases were initially investigated and analyzed, and specific patient care management problems were noted. Two independent physicians subsequently classified problems into 1 or more of 4 major categories according to the phase of work in which each occurred (diagnosis, treatment, disposition, and public health) and identified contributing factors that likely affected outcome (patient factors, triage, clinical tasks, teamwork, and system). Primary outcome measures were death and disability. Secondary outcome measures included specific life-threatening events and adverse events. Patient outcomes were compared with the expected outcome with ideal care and the likely outcome of no care., Results: Physician reviewers identified multiple problems and contributing factors in the majority of cases (92%). The diagnostic process was the leading phase of work in which problems were observed (71%). Three leading contributing factors were identified: clinical tasks (99%), patient factors (61%), and teamwork (61%). Despite imperfections in care, half of all patients received some benefit from their medical care compared with the likely outcome with no care., Conclusion: These reviews suggest that physicians would be especially interested in strategies to improve the diagnostic process and clinical tasks, address patient factors, and develop more effective medical teams. Our investigation allowed us to demonstrate the practical application of a framework for case analysis. We discuss the limitations of retrospective cases analyses and recommend future directions in safety research.