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The relationship between workload and length of stay in Singapore.
Abstract
Prior studies link higher workload with longer length of stay (LOS) in the US. Unlike
U.S. hospitals, Singaporean hospitals, like other major hospitals in the Asia-Pacific,
are partially occupied by patients with non-acute needs due to insufficient alternative
facilities. We examined the association between workload and length of stay (LOS)
and the impact of workload on 30-day re-hospitalization and inpatient mortality rates
in retrospective cohort in this setting. We defined workload as the daily number of
patients per physician team. 13,097 hospitalizations of 10,000 patients were included.
We found that higher workload was associated with shorter LOS (coefficient, -0.044
[95%CI, -0.083, -0.01]), especially for patients with longer stays (hazard ratios,
not significantly greater than 1 before Day 4, 1.04 [95%CI, 1.01, 1.07] at Day 4 and
1.16 [95%CI, 1.10, 1.24] at Day 10), without affecting inpatient mortality (odds ratio
(OR), 1.03 [95%CI, 0.99, 1.05]) or 30-day re-hospitalization (OR, 1.01 [95%CI, 0.99,
1.04]). This result differs from studies in the US and may reflect regional differences
in the use of acute hospital beds for non-acute needs.
Type
Journal articleSubject
HumansHospitalization
Length of Stay
Patient Readmission
Hospital Mortality
Retrospective Studies
Aged
Workload
Singapore
Female
Male
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https://hdl.handle.net/10161/22800Published Version (Please cite this version)
10.1016/j.healthpol.2018.04.002Publication Info
Zhou, Ke; Vidyarthi, Arpana; Matchar, David; Cheung, Yin Bun; Lam, Shao Wei; & Ong,
Marcus (2018). The relationship between workload and length of stay in Singapore. Health policy (Amsterdam, Netherlands), 122(7). pp. 769-774. 10.1016/j.healthpol.2018.04.002. Retrieved from https://hdl.handle.net/10161/22800.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
David Bruce Matchar
Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical
policies to their implementation in real world clinical settings. Most recently my
major content focus has been cerebrovascular disease. Other major clinical areas in
which I work include the range of disabling neurological conditions, cardiovascular
disease, and cancer prevention. Notable features of my work are: (1) reliance on
analytic strategies such as meta-analysis, simulation, decision analy

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