Evidence map›Paper›PMID 34731333›Full record

ArticleInternational journal of health economics and management2022

The weekend effect in stroke mortality: evidence from Austrian acute care hospitals.

Florian Bachner, Martin Zuba

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of health economics and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Florian BachnerDepartment for Health Economics & Health Systems Analysis, Austrian Public Health Institute, Stubenring 6, 1010, Vienna, Austria. florian.bachner@goeg.at.ORCID http://orcid.org/0000-0003-4322-8817
Martin ZubaDepartment for Health Economics & Health Systems Analysis, Austrian Public Health Institute, Stubenring 6, 1010, Vienna, Austria. martin.zuba@goeg.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies provide evidence for the so-called weekend effect by demonstrating that patients admitted to hospital during weekends show less favourable outcomes such as increased mortality, compared with similar patients admitted during weekdays. The underlying causes for this phenomenon are still discussed controversially. We analysed factors influencing weekend effects in inpatient care for acute stroke in Austria. The study analysed secondary datasets from all 130 public acute care hospitals in Austria between 2010 and 2014 (Austrian DRG Data). The study cohort included 86,399 patient cases admitted with acute ischaemic stroke. By applying multivariate regression analysis, we tested whether patient, treatment or hospital characteristics drove in-hospital mortality on weekends and national holidays. We found that the risk to die after an admission at weekend was significantly higher compared to weekdays, while the number of admissions following stroke was significantly lower. Adjustment for patient, treatment and hospital characteristics substantially reduced the weekend effect in mortality but did not eliminate it. We conclude that the observed weekend effect could be explained either by lower quality of health care or higher severity of stroke admissions at the weekend. In depth analyses supported the hypothesis of higher stroke severity in weekend patients as seen in other studies. While DRG data is useful to analyse stroke treatment and outcomes, adjustment for case mix and severity is essential.

Indexed as

Brain IschemiaStrokeAustriaHospital MortalityHospitalsHumansDiagnostic Related GroupsHospital qualityStrokeWeekend effect

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.