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Optimal screening strategies for healthcare associated infections in a multi-institutional setting.

ABSTRACT: Health institutions may choose to screen newly admitted patients for the presence of disease in order to reduce disease prevalence within the institution. Screening is costly, and institutions must judiciously choose which patients they wish to screen based on the dynamics of disease transmission. Since potentially infected patients move between different health institutions, the screening and treatment decisions of one institution will affect the optimal decisions of others; an institution might choose to "free-ride" off the screening and treatment decisions of neighboring institutions. We develop a theoretical model of the strategic decision problem facing a health care institution choosing to screen newly admitted patients. The model incorporates an SIS compartmental model of disease transmission into a game theoretic model of strategic decision-making. Using this setup, we are able to analyze how optimal screening is influenced by disease parameters, such as the efficacy of treatment, the disease recovery rate and the movement of patients. We find that the optimal screening level is lower for diseases that have more effective treatments. Our model also allows us to analyze how the optimal screening level varies with the number of decision makers involved in the screening process. We show that when institutions are more autonomous in selecting whom to screen, they will choose to screen at a lower rate than when screening decisions are more centralized. Results also suggest that centralized screening decisions have a greater impact on disease prevalence when the availability or efficacy of treatment is low. Our model provides insight into the factors one should consider when choosing whether to set a mandated screening policy. We find that screening mandates set at a centralized level (i.e. state or national) will have a greater impact on the control of infectious disease.

SUBMITTER: Miller AC

PROVIDER: S-EPMC3879151 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Optimal screening strategies for healthcare associated infections in a multi-institutional setting.

Miller Aaron C AC Polgreen Linnea A LA Polgreen Philip M PM

PLoS computational biology 20140102 1

Health institutions may choose to screen newly admitted patients for the presence of disease in order to reduce disease prevalence within the institution. Screening is costly, and institutions must judiciously choose which patients they wish to screen based on the dynamics of disease transmission. Since potentially infected patients move between different health institutions, the screening and treatment decisions of one institution will affect the optimal decisions of others; an institution migh ...[more]

PMID: 24391484

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Project description:BACKGROUND:Mediastinal infections are a potentially devastating complication of cardiac operations. This study analyzed the frequency, risk factors, and perioperative outcomes of mediastinal infections after cardiac operations. METHODS:In 2010, 5,158 patients enrolled in a prospective study evaluating infections after cardiac operations and their effect on readmissions and mortality for up to 65 days after the procedure. Clinical and demographic characteristics, operative variables, management practices, and outcomes were compared for patients with and without mediastinal infections, defined as deep sternal wound infection, myocarditis, pericarditis, or mediastinitis. RESULTS:There were 43 mediastinal infections in 41 patients (cumulative incidence, 0.79%; 95% confidence interval [CI] 0.60% to 1.06%). Median time to infection was 20.0 days, with 65% of infections occurring after the index hospitalization discharge. Higher body mass index (hazard ratio [HR] 1.06; 95% CI, 1.01 to 1.10), higher creatinine (HR, 1.25; 95% CI, 1.13 to 1.38), peripheral vascular disease (HR, 2.47; 95% CI, 1.21 to 5.05), preoperative corticosteroid use (HR, 3.33; 95% CI, 1.27 to 8.76), and ventricular assist device or transplant surgery (HR, 5.81; 95% CI, 2.36 to 14.33) were associated with increased risk of mediastinal infection. Postoperative hyperglycemia (HR, 3.15; 95% CI, 1.32 to 7.51) was associated with increased risk of infection in nondiabetic patients. Additional length of stay attributable to mediastinal infection was 11.5 days (bootstrap 95% CI, 1.88 to 21.11). Readmission rates and mortality were five times higher in patients with mediastinal infection than in patients without mediastinal infection. CONCLUSIONS:Mediastinal infection after a cardiac operation is associated with substantial increases in length of stay, readmissions, and death. Reducing these infections remains a high priority, and improving post-operative glycemic management may reduce their risk in patients without diabetes.

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Optimal screening strategies for healthcare associated infections in a multi-institutional setting.

Publications

Optimal screening strategies for healthcare associated infections in a multi-institutional setting.

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