The weekend effect in hospitalized patients: a meta-analysis

LA Pauls, R Johnson-Paben… - Journal of hospital …, 2017 - pubmed.ncbi.nlm.nih.gov
Background The presence of a" weekend effect"(increased mortality rate during Saturday
and/or Sunday admissions) for hospitalized inpatients is uncertain. Purpose We performed a …

Magnitude and modifiers of the weekend effect in hospital admissions: a systematic review and meta-analysis

YF Chen, X Armoiry, C Higenbottam, N Cowley… - BMJ open, 2019 - bmjopen.bmj.com
Objective To examine the magnitude of the weekend effect, defined as differences in patient
outcomes between weekend and weekday hospital admissions, and factors influencing it …

Real-time prediction of mortality, readmission, and length of stay using electronic health record data

X Cai, O Perez-Concha, E Coiera… - Journal of the …, 2016 - academic.oup.com
Objective To develop a predictive model for real-time predictions of length of stay, mortality,
and readmission for hospitalized patients using electronic health records (EHRs). Materials …

[HTML][HTML] Weekend specialist intensity and admission mortality in acute hospital trusts in England: a cross-sectional study

C Aldridge, J Bion, A Boyal, YF Chen, M Clancy… - The Lancet, 2016 - thelancet.com
Background Increased mortality rates associated with weekend hospital admission (the so-
called weekend effect) have been attributed to suboptimum staffing levels of specialist …

Weekly variation in health-care quality by day and time of admission: a nationwide, registry-based, prospective cohort study of acute stroke care

BD Bray, GC Cloud, MA James, H Hemingway, L Paley… - The Lancet, 2016 - thelancet.com
Background Studies in many health systems have shown evidence of poorer quality health
care for patients admitted on weekends or overnight than for those admitted during the week …

[HTML][HTML] Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets

JH Chen, M Alagappan, MK Goldstein, SM Asch… - International journal of …, 2017 - Elsevier
Objective Determine how varying longitudinal historical training data can impact prediction
of future clinical decisions. Estimate the “decay rate” of clinical data source relevance …

Risk-adjusted survival for adults following in-hospital cardiac arrest by day of week and time of day: observational cohort study

EJ Robinson, GB Smith, GS Power… - BMJ quality & …, 2016 - qualitysafety.bmj.com
Background Internationally, hospital survival is lower for patients admitted at weekends and
at night. Data from the UK National Cardiac Arrest Audit (NCAA) indicate that crude hospital …

Predicting days in hospital using health insurance claims

Y Xie, G Schreier, DCW Chang… - IEEE journal of …, 2015 - ieeexplore.ieee.org
Health-care administrators worldwide are striving to lower the cost of care while improving
the quality of care given. Hospitalization is the largest component of health expenditure …

Technology, cognition and error

E Coiera - BMJ quality & safety, 2015 - qualitysafety.bmj.com
Our information machines exist to make us faster, more powerful decision-makers.
Computers prompt our limited human memory with reminders of what we should be doing …

[HTML][HTML] Impact of out-of-hours admission on patient mortality: longitudinal analysis in a tertiary acute hospital

L Han, M Sutton, S Clough, R Warner… - BMJ quality & …, 2018 - qualitysafety.bmj.com
Background Emergency hospital admission on weekends is associated with an increased
risk of mortality. Previous studies have been limited to examining single years and …