Estimands to quantify prolonged hospital stay associated with nosocomial infections

Wolkewitz, Martin; Schumacher, Martin; Rücker, Gerta; Harbarth, Stéphan Juergen; Beyersmann, Jan

doi:10.1186/s12874-019-0752-6

Scientific article

English

Estimands to quantify prolonged hospital stay associated with nosocomial infections

ContributorsWolkewitz, Martin; Schumacher, Martin; Rücker, Gerta; Harbarth, Stéphan Juergen

; Beyersmann, Jan

Published inBMC Medical Research Methodology, vol. 19, no. 1, 111

Publication date2019

Abstract

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.

Keywords

Multi-state model
Hospital-acquired infections
Sojourn time
Length of hospital stay

Affiliation entities

Not a UNIGE publication

Research groups

Résistance aux antibiotiques (866)

Funding

Autre - Travel Support for Math in Moscow Program [0115737]
European Commission - Combatting Bacterial Resistance in Europe [115523]

Citation (ISO format)

WOLKEWITZ, Martin et al. Estimands to quantify prolonged hospital stay associated with nosocomial infections. In: BMC Medical Research Methodology, 2019, vol. 19, n° 1, p. 111. doi: 10.1186/s12874-019-0752-6

Article (Published version)

CC BY

Identifiers

PID : unige:132722
DOI : 10.1186/s12874-019-0752-6
PMID : 31151418

Commercial URLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544970/

ISSN of the journal1471-2288

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Creation30/10/2019 15:04:00

First validation30/10/2019 15:04:00

Update time08/10/2024 09:09:43

Status update08/10/2024 09:09:43

Last indexation08/10/2024 09:26:24

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Estimands to quantify prolonged hospital stay associated with nosocomial infections

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