Estimands to quantify prolonged hospital stay associated with nosocomial infections.
BMC Med Res Methodol
; 19(1): 111, 2019 05 31.
Article
em En
| MEDLINE
| ID: mdl-31151418
ABSTRACT
BACKGROUND:
Length of stay evaluations are very common to determine the burden of nosocomial infections. However, there exist fundamentally different methods to quantify the prolonged length of stay associated with nosocomial infections. Previous methodological studies emphasized the need to account for the timing of infection in order to differentiate the length of stay before and after the infection.METHODS:
We derive four different approaches in a simple multi-state framework, display their mathematical relationships in a multiplicative as well as additive way and apply them to a real cohort study (n=756 German intensive-care unit patients of whom 124 patients acquired a nosocomial infection).RESULTS:
The first approach ignores the timing of infection and quantifies the difference of eventually infected and eventually uninfected; it is 12.31 days in the real data. The second approach compares the average sojourn time with infection with the average sojourn time of being hypothetically uninfected; it is 2.12 days. The third one compares the average length of stay of a population in a world with nosocomial infections with a population in a hypothetical world without nosocomial infections; it is 0.35 days. Finally, approach four compares the mean residual length of stay between currently infected and uninfected patients on a daily basis; the difference is 1.77 days per infected patient.CONCLUSIONS:
The first approach should be avoided because it compares the eventually infected with the eventually uninfected, but has no prospective interpretation. The other approaches differ in their interpretation but are suitable because they explicitly distinguish between the pre- and post-time of the nosocomial infection.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Infecção Hospitalar
/
Unidades de Terapia Intensiva
/
Tempo de Internação
Tipo de estudo:
Observational_studies
/
Risk_factors_studies
Limite:
Humans
País como assunto:
Europa
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article