Evidence map›Paper›PMID 35287661›Full record

ArticleBMC health services research2022

Stroke unit demand in Norway - present and future estimates.

Fredrik A Dahl, Mathias Barra, Kashif W Faiz, Hege Ihle-Hansen, Halvor Næss, Kim Rand, Ole Morten Rønning, Tone Breines Simonsen, Bente Thommessen, Angela S Labberton

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Fredrik A DahlThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway.ORCID https://orcid.org/0000-0002-6835-0985
Mathias BarraThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway. mathias.barra@ahus.no.ORCID https://orcid.org/0000-0002-0022-4042
Kashif W FaizThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway.ORCID https://orcid.org/0000-0003-0672-6032
Hege Ihle-HansenDepartment of Geriatric Medicine, OUS, Oslo, Norway.ORCID https://orcid.org/0000-0002-7391-2508
Halvor NæssDepartment of Neurology, Haukeland University Hospital, Bergen, Norway.ORCID https://orcid.org/0000-0002-7336-3131
Kim RandThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway.ORCID https://orcid.org/0000-0001-7692-4099
Ole Morten RønningInstitute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0001-5080-5788
Tone Breines SimonsenThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway.ORCID https://orcid.org/0000-0002-4103-9011
Bente ThommessenDepartment of Neurology, Akershus University Hospital, Lørenskog, Norway.ORCID https://orcid.org/0000-0002-8665-1108
Angela S LabbertonThe Health Services Research Unit (HØKH), Akershus University Hospital HF, Sykehusveien 25, 1478, Lørenskog, Norway.ORCID https://orcid.org/0000-0002-0047-7103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAll stroke patients should receive timely admission to a stroke unit (SU). Consequently, most patients with suspected strokes - including stroke mimics (SM) are admitted. The aim of this study was to estimate the current total demand for SU bed capacity today and give estimates for future (2020-2040) demand.

methodsTime trend estimates for stroke incidence and time constant estimates for length of stay (LOS) were estimated from the Norwegian Patient Registry (2010-2015). Incidence and LOS models for SMs were based on data from Haukeland University Hospital (2008-2017) and Akershus University Hospital (2020), respectively. The incidence and LOS models were combined with scenarios from Statistic Norway's population predictions to estimate SU demands for each health region. A telephone survey collected data on the number of currently available SU beds.

resultsIn 2020, 361 SU beds are available, while demand was estimated to 302. The models predict a reduction in stroke incidence, which offsets projected demographic shifts. Still, the estimated demand for 2040 rose to 316, due to an increase in SMs. A variation of this reference scenario, where stroke incidence was frozen at the 2020-level, gave a 2040-demand of 480 beds.

conclusionsWhile the stroke incidence is likely to continue to fall, this appears to be balanced by an increase in SMs. An important uncertainty is how long the trend of decreasing stroke incidence can be expected to continue. Since the most important uncertainty factors point toward a potential increase, which may be as large as 50%, we would recommend that the health authorities plan for a potential increase in the demand for SU bed capacity.

Indexed as

StrokeForecastingHospitalizationHumansIncidenceLength of StayHealth care managementIncidenceLength-of-stayRegression modelStrokeStroke mimicsStroke unit

Identifiers

PMID35287661
PMCPMC8922921

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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.