Evidence map›Paper›PMID 35644720›Full record

ArticleHealth policy (Amsterdam, Netherlands)2022

How do busy hospital circumstances affect mortality and readmission within 60 days: A cohort study of 680 000 acute admissions in Norway.

Sara Marie Nilsen, Andreas Asheim, Fredrik Carlsen, Kjartan Sarheim Anthun, Lars Johan Vatten, Stina Aam, Neil M Davies, Johan Håkon Bjørngaard

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In one paragraph

Article in Health policy (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sara Marie NilsenCenter for Health Care Improvement, St. Olav's hospital, Trondheim University Hospital, Trondheim, Norway. Electronic address: sara.marie.nilsen2@stolav.no.
Andreas AsheimCenter for Health Care Improvement, St. Olav's hospital, Trondheim University Hospital, Trondheim, Norway; Norwegian University of Science and Technology, Department of Mathematical Sciences, Trondheim, Norway.
Fredrik CarlsenNorwegian University of Science and Technology, Department of Economics, Trondheim, Norway.
Kjartan Sarheim AnthunDepartment of Health Research, SINTFF Digital, Trondheim, Norway; Norwegian University of Science and Technology, Department of Public Health and Nursing, Trondheim, Norway.
Lars Johan VattenNorwegian University of Science and Technology, Department of Public Health and Nursing, Trondheim, Norway.
Stina AamDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, NTNU-Norwegian University of Science and Technology, Trondheim, Norway; Department of Geriatric Medicine, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.
Neil M DaviesMedical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN, United Kingdom; Population Health Sciences, Bristol Medical School, University of Bristol, Barley House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom.
Johan Håkon BjørngaardNorwegian University of Science and Technology, Department of Public Health and Nursing, Trondheim, Norway; Nord University, Faculty of Nursing and Health Sciences, Levanger, Norway.

Funding

Medical Research Council MC_UU_00011/1
6 · The paper itself

Abstract

objectiveTo study mortality and readmissions for older patients admitted during more and less busy hospital circumstances.

designCohort study where we identified patients that were admitted to the same hospital, during the same month and day of the week. We estimated effects of inflow of acute patients and the number of concurrent acute inpatients. Mortality and readmissions were analysed using stratified Cox-regression.

settingAll people 80 years and older acutely admitted to Norwegian hospitals between 2008 and 2016.

main outcome measuresMortality and readmissions within 60 days from admission.

resultsAmong 294 653 patients with 685 197 admissions, mean age was 86 years (standard deviation 5). Overall, 13% died within 60 days. An interquartile range difference in inflow of acute patients was associated with a hazard ratio (HR) of 0.99, 95% confidence interval (95% CI) 0.98 to 1.00). There was little evidence of differences in readmissions, but a 7% higher risk (HR 1.07, 95% CI 1.06 to 1.09) of being discharged outside ordinary daytime working hours.

conclusionsOlder patients admitted during busier circumstances had similar mortality and readmissions to those admitted during less busy periods. Yet, they showed a higher risk of discharge outside daytime working hours. Despite limited effects of busyness on a hospital level, there could still be harmful effects of local situations.

Indexed as

HospitalizationPatient ReadmissionAged, 80 and overCohort StudiesHospital MortalityHospitalsHumansRetrospective StudiesRisk Factors

Identifiers

PMID35644720
PMCPMC7614243

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