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1.
Clin Microbiol Infect ; 18(3): 282-9, 2012 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-21668576

RESUMO

Although Clostridium difficile (C. difficile) is the leading cause of infectious diarrhoea in hospitalized patients, the economic burden of this major nosocomial pathogen for hospitals, third-party payers and society remains unclear. We developed an economic computer simulation model to determine the costs attributable to healthcare-acquired C. difficile infection (CDI) from the hospital, third-party payer and societal perspectives. Sensitivity analyses explored the effects of varying the cost of hospitalization, C. difficile-attributable length of stay, and the probability of initial and secondary recurrences. The median cost of a case ranged from $9179 to $11 456 from the hospital perspective, $8932 to $11 679 from the third-party payor perspective, and $13 310 to $16 464 from the societal perspective. Most of the costs incurred were accrued during a patient's primary CDI episode. Hospitals with an incidence of 4.1 CDI cases per 100 000 discharges would incur costs ≥$3.2 million (hospital perspective); an incidence of 10.5 would lead to costs ≥$30.6 million. Our model suggests that the annual US economic burden of CDI would be ≥$496 million (hospital perspective), ≥$547 million (third-party payer perspective) and ≥$796 million (societal perspective). Our results show that C. difficile infection is indeed costly, not only to third-party payers and the hospital, but to society as well. These results are consistent with current literature citing C. difficile as a costly disease.


Assuntos
Clostridioides difficile/isolamento & purificação , Infecções por Clostridium/economia , Infecções por Clostridium/epidemiologia , Infecção Hospitalar/economia , Infecção Hospitalar/epidemiologia , Custos de Cuidados de Saúde/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Infecções por Clostridium/microbiologia , Simulação por Computador , Infecção Hospitalar/microbiologia , Diarreia/economia , Diarreia/epidemiologia , Diarreia/microbiologia , Humanos , Incidência , Modelos Estatísticos , Estados Unidos/epidemiologia
2.
Clin Microbiol Infect ; 17(11): 1717-26, 2011 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-21595796

RESUMO

Methicillin-resistant Staphylococcus aureus (MRSA) can cause severe infections in patients undergoing haemodialysis. Routine periodic testing of haemodialysis patients and attempting to decolonize those who test positive may be a strategy to prevent MRSA infections. The economic value of such a strategy has not yet been estimated. We constructed a Markov computer simulation model to evaluate the economic value of employing routine testing (agar-based or PCR) at different MRSA prevalence, spontaneous clearance, costs of decolonization and decolonization success rates, performed every 3, 6 or 12 months. The model showed periodic MRSA surveillance with either test to be cost-effective (incremental cost-effectiveness ratio ≤$50 000/quality-adjusted life-year) for all conditions tested. Agar surveillance was dominant (i.e. less costly and more effective) at an MRSA prevalence ≥10% and a decolonization success rate ≥25% for all decolonization treatment costs tested with no spontaneous clearance. PCR surveillance was dominant when the MRSA prevalence was ≥20% and decolonization success rate was ≥75% with no spontaneous clearance. Routine periodic testing and decolonization of haemodialysis patients for MRSA may be a cost-effective strategy over a wide range of MRSA prevalences, decolonization success rates, and testing intervals.


Assuntos
Antibacterianos/uso terapêutico , Portador Sadio/diagnóstico , Tratamento Farmacológico/métodos , Programas de Rastreamento/métodos , Staphylococcus aureus Resistente à Meticilina/isolamento & purificação , Diálise Renal/efeitos adversos , Infecções Estafilocócicas/prevenção & controle , Idoso , Idoso de 80 Anos ou mais , Antibacterianos/economia , Portador Sadio/tratamento farmacológico , Portador Sadio/microbiologia , Análise Custo-Benefício , Tratamento Farmacológico/economia , Feminino , Humanos , Masculino , Programas de Rastreamento/economia , Pessoa de Meia-Idade , Modelos Estatísticos , Infecções Estafilocócicas/tratamento farmacológico , Infecções Estafilocócicas/economia , Infecções Estafilocócicas/microbiologia , Estados Unidos
3.
Clin Microbiol Infect ; 17(11): 1691-7, 2011 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-21463394

RESUMO

Although Acinetobacter baumannii (A. baumannii) is an increasingly common nosocomial pathogen that can cause serious infections in the intensive care unit (ICU), most ICUs do not actively screen admissions for this pathogen. We developed an economic computer simulation model to determine the potential cost-consequences to the hospital of implementing routine A. baumannii screening of ICU admissions and isolating those patients who tested positive, comparing two screening methods, sponge and swab, with each other and no screening. Sensitivity analyses varied the colonization prevalence, percentage of colonized individuals who had active A. baumannii infections, A. baumannii reproductive rate (R), and contact isolation efficacy. Both screening methods were cost-effective for almost all scenarios tested, yielding cost-savings ranging from -$1 to -$1563. Sponge screening was not cost-saving when colonization prevalence was ≤1%, probability of infection ≤30%, R ≤ 0.25, and contact isolation efficacy ≤25%. Swab screening was not cost-saving under these same conditions when the probability of infection was ≤40%. Sponge screening tended to be more cost-saving than swab screening (additional savings ranged from $1 to $421). Routine A. baumannii screening of ICU patients may save costs for hospitals.


Assuntos
Infecções por Acinetobacter/diagnóstico , Acinetobacter baumannii/isolamento & purificação , Infecção Hospitalar/prevenção & controle , Testes Diagnósticos de Rotina/economia , Testes Diagnósticos de Rotina/métodos , Programas de Rastreamento/economia , Programas de Rastreamento/métodos , Infecções por Acinetobacter/economia , Infecções por Acinetobacter/microbiologia , Simulação por Computador , Análise Custo-Benefício , Infecção Hospitalar/economia , Infecção Hospitalar/microbiologia , Humanos , Unidades de Terapia Intensiva , Modelos Estatísticos
4.
Clin Microbiol Infect ; 17(4): 640-6, 2011 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-20731684

RESUMO

Although norovirus is a significant cause of nosocomial viral gastroenteritis, the economic value of hospital outbreak containment measures following identification of a norovirus case is currently unknown. We developed computer simulation models to determine the potential cost-savings from the hospital perspective of implementing the following norovirus outbreak control interventions: (i) increased hand hygiene measures, (ii) enhanced disinfection practices, (iii) patient isolation, (iv) use of protective apparel, (v) staff exclusion policies, and (vi) ward closure. Sensitivity analyses explored the impact of varying intervention efficacy, number of initial norovirus cases, the norovirus reproductive rate (R(0)), and room, ward size, and occupancy. Implementing increased hand hygiene, using protective apparel, staff exclusion policies or increased disinfection separately or in bundles provided net cost-savings, even when the intervention was only 10% effective in preventing further norovirus transmission. Patient isolation or ward closure was cost-saving only when transmission prevention efficacy was very high (≥ 90%), and their economic value decreased as the number of beds per room and the number of empty beds per ward increased. Increased hand hygiene, using protective apparel or increased disinfection practices separately or in bundles are the most cost-saving interventions for the control and containment of a norovirus outbreak.


Assuntos
Infecções por Caliciviridae/prevenção & controle , Infecção Hospitalar/prevenção & controle , Surtos de Doenças , Gastroenterite/prevenção & controle , Custos de Cuidados de Saúde/estatística & dados numéricos , Controle de Infecções/métodos , Norovirus/isolamento & purificação , Infecções por Caliciviridae/economia , Infecções por Caliciviridae/virologia , Simulação por Computador , Infecção Hospitalar/economia , Infecção Hospitalar/virologia , Gastroenterite/economia , Gastroenterite/virologia , Instalações de Saúde , Humanos , Controle de Infecções/economia
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