Evidence map›Paper›PMID 36692013›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2023

Benefit of linking hospital resource information and patient-level stroke registry data.

Tara Purvis, Dominique A Cadilhac, Kelvin Hill, Adele K Gibbs, Jot Ghuliani, Sandy Middleton, Monique F Kilkenny

Open access · hybridAbstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2023. 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
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 4 institutions in 1 country.

Tara PurvisStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Wright Street, Clayton, Victoria 3168, Australia.ORCID 0000-0003-3332-5357
Dominique A CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Wright Street, Clayton, Victoria 3168, Australia.ORCID 0000-0001-8162-682X
Kelvin HillStroke Services and Research, Stroke Foundation, Bourke Street, Melbourne, Victoria 3000, Australia.ORCID 0000-0002-2322-8599
Adele K GibbsStroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia.
Jot GhulianiStroke Division, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Burgundy Street, Heidelberg, Victoria 3084, Australia.
Sandy MiddletonNursing Research Institute, St Vincent's Health Network Sydney, St Vincent's Hospital Melbourne, Victoria Street, Darlinghurst, New South Wales 2010, Australia.ORCID 0000-0002-7201-4394
Monique F KilkennyStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Wright Street, Clayton, Victoria 3168, Australia.ORCID 0000-0002-3375-287X
The University of Melbourne · AUMonash Health · AUNational Stroke Foundation · AUSt Vincent's Hospital Melbourne · AU

Funding

Heart Foundation 1154273National Health and Medical Research Council 1063761National Health and Medical Research Council 1109426
6 · The paper itself

Abstract

Variation in the delivery of evidence-based care affects outcomes for patients with stroke. A range of hospital (organizational), patient, and clinical factors can affect care delivery. Clinical registries are widely used to monitor stroke care and guide quality improvement efforts within hospitals. However, hospital features are rarely collected. We aimed to explore the influence of hospital resources for stroke, in metropolitan and regional/rural hospitals, on the provision of evidence-based patient care and outcomes. The 2017 National Audit organizational survey (Australia) was linked to patient-level data from the Australian Stroke Clinical Registry (2016-2017 admissions). Regression models were used to assess the associations between hospital resources (based on the 2015 Australian National Acute Stroke Services Framework) and patient care (reflective of national guideline recommendations), as well as 90-180-day readmissions and health-related quality of life. Models were adjusted for patient factors, including the severity of stroke. Fifty-two out of 127 hospitals with organizational survey data were merged with 22 832 Australian Stroke Clinical Registry patients with an admission for a first-ever stroke or transient ischaemic attack (median age 75 years, 55% male, and 66% ischaemic). In metropolitan hospitals (n = 42, 20 977 patients, 1701 thrombolyzed, and 2395 readmitted between 90 and 180 days post stroke), a faster median door-to-needle time for thrombolysis was associated with ≥500 annual stroke admissions [-15.9 minutes, 95% confidence interval (CI) -27.2, -4.7], annual thrombolysis >20 patients (-20.2 minutes, 95% CI -32.0, -8.3), and having specialist stroke staff (dedicated medical lead and stroke coordinator; -12.7 minutes, 95% CI -25.0, -0.4). A reduced likelihood of all-cause readmissions between 90 and 180 days was evident in metropolitan hospitals using care pathways for stroke management (odds ratio 0.82, 95% CI 0.67-0.99). In regional/rural hospitals (n = 10, 1855 patients), being discharged with a care plan was also associated with the use of stroke clinical pathways (odds ratio 3.58, 95% CI 1.45-8.82). No specific hospital resources influenced 90-180-day health-related quality of life. Relevant to all international registries, integrating information about hospital resources with clinical registry data provides greater insights into factors that influence evidence-based care.

Indexed as

Quality of LifeStrokeAgedAustraliaFemaleHospitalsHumansMaleRegistriesRoutinely Collected Health Datalinkedorganizationaloutcomesquality of careregistrystroke

Identifiers

PMID36692013
PMCPMC9936789
OpenAlexW4317830725

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.