Evidence map›Paper›PMID 36952525›Full record

ArticlePloS one2023

Emergency department reorganisation introducing increased autonomy: A mixed effects approach to evaluate the effects of a national policy.

Line Stjernholm Tipsmark, Børge Obel, Tommy Andersson, Rikke Søgaard

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Line Stjernholm TipsmarkDEFACTUM, Central Denmark Region, Aarhus N, Denmark.ORCID 0000-0001-9012-8793
Børge ObelDESIGN EM-Research Network for Organizational Design and Emergency Medicine, Aarhus V, Denmark.ORCID 0000-0003-1283-5489
Tommy AnderssonRegional Hospital West Jutland, Herning, Denmark.
Rikke SøgaardDepartment of Public Health, Aarhus University, Aarhus C, Denmark.ORCID 0000-0003-3557-8550

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2007, a Danish national policy to future-proof emergency department (ED) performance was launched. The policy included several recommendations for the management and organisation of care that essentially introduced greater ED autonomy. In this study, we evaluate the effects of increased ED autonomy on readmission, mortality and episode costs for two large patient groups.

methodA non-randomised stepped wedge study-design where all EDs gradually implemented the policy at different steps during the study period (2008-2016). The timing and extent of policy implementation was determined from a retrospective cross-sectional survey of all 21 Danish EDs. This was linked to all episodes of hip fracture (n = 79,697) and erysipelas (n = 39,900) identified in the Nation Patient Registry and with episode-level outcomes. Mixed effect models were specified for the outcomes of 30-day readmission, 30-day mortality and episode costs, and adjusted for relevant ED- and episode-level heterogeneity.

resultsIncreased ED autonomy was associated with more readmissions (p<0.05) and higher episode costs (p<0.001) in hip fracture episodes. In erysipelas episodes, no general associations were found. When restricted to night-time admissions, increased ED autonomy was associated with poorer outcomes for erysipelas episodes and increased episode costs for both patient groups.

conclusionThe intended policy effects were not found for these two patient groups; in fact, reorganisation appeared to have harmed hip fracture patients and increased episode costs. Uncertainty remains regarding the longer-term consequences.

Indexed as

ErysipelasHip FracturesCross-Sectional StudiesEmergency Service, HospitalHumansPatient ReadmissionPolicyRetrospective Studies

Identifiers

PMID36952525
PMCPMC10035920

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.