Evidence map›Paper›PMID 26351184›Full record

Observational studyBMJ open2015

Comparison of the university hospital and county hospitals in western Sweden to identify potential weak links in the early chain of care for acute stroke: results of an observational study.

Birgitta Wireklint Sundström, Johan Herlitz, Per Olof Hansson, Peter Brink

Open access · goldAbstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CCL26 regulates the proportion of CD4Experimental and therapeutic medicine · 2020
    Article
  6. Article
  7. Socioeconomic disparities in prehospital stroke care.Scandinavian journal of trauma, resuscitation and emergency medicine · 2019
    Article
  8. Article
  9. Article
  10. Observational
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 at 3 institutions in 1 country.

Birgitta Wireklint SundströmFaculty of Caring Science, Work Life and Social Welfare, Research Centre PreHospen, University of Borås, The Prehospital Research Centre of Western Sweden, Borås, Sweden.
Johan HerlitzFaculty of Caring Science, Work Life and Social Welfare, Research Centre PreHospen, University of Borås, The Prehospital Research Centre of Western Sweden, Borås, Sweden.
Per Olof HanssonDepartment of Molecular and Clinical Medicine/Cardiology, Sahlgrenska Academy, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
Peter BrinkEmergency Medical Service System, NU-Hospital Organisation, Trollhättan, Sweden.
University of Borås · SENU Hospital Group · SEUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify weak links in the early chain of care for acute stroke.

setting9 emergency hospitals in western Sweden, each with a stroke unit, and the emergency medical services (EMS).

participantsAll patients hospitalised with a first and a final diagnosis of stroke-between 15 December 2010 and 15 April 2011. The university hospital in the city of Gothenburg was compared with 6 county hospitals. PRIMARY AND SECONDARY MEASURES: (1) The system delay, that is, median delay time from call to the EMS until diagnosis was designated as the primary end point. Secondary end points were: (2) the system delay time from call to the EMS until arrival in a hospital ward, (3) the use of the EMS, (4) priority at the dispatch centre and (5) suspicion of stroke by the EMS nurse.

resultsIn all, 1376 acute patients with stroke (median age 79 years; 49% women) were included. The median system delay from call to the EMS until (1) diagnosis (CT scan) and (2) arrival in a hospital ward was 3 h and 52 min and 4 h and 22 min, respectively. The system delay (1) was significantly shorter in county hospitals. (3) The study showed that 76% used the EMS (Gothenburg 71%; the county 79%; p<0.0001). (4) Priority 1 was given at the dispatch centre in 54% of cases. (5) Stroke was suspected in 65% of cases. A prenotification was sent in 32% (Gothenburg 52%; the county 20%; p<0.0001).

conclusionsSystem delay is still long and only a small fraction of patients received thrombolysis. Three of four used the EMS (more frequent in the county). They were given the highest priority at the dispatch centre in half of the cases. Stroke was suspected in two-thirds of the cases, but a prenotification was seldom sent to the hospital.

Indexed as

Hospitals, CountyHospitals, UniversityAgedDelayed DiagnosisEmergency Medical ServicesFemaleHumansMaleQuality ImprovementRegistriesRetrospective StudiesStrokeSurvival RateSwedenTime FactorsTime-to-TreatmentACCIDENT & EMERGENCY MEDICINESTROKE MEDICINEVASCULAR MEDICINE

Identifiers

PMID26351184
PMCPMC4563274
OpenAlexW1891168246

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.