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

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....

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Autores principales: Purvis, Tara, Cadilhac, Dominique A, Hill, Kelvin, Gibbs, Adele K, Ghuliani, Jot, Middleton, Sandy, Kilkenny, Monique F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936789/
https://www.ncbi.nlm.nih.gov/pubmed/36692013
http://dx.doi.org/10.1093/intqhc/mzad003
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author Purvis, Tara
Cadilhac, Dominique A
Hill, Kelvin
Gibbs, Adele K
Ghuliani, Jot
Middleton, Sandy
Kilkenny, Monique F
author_facet Purvis, Tara
Cadilhac, Dominique A
Hill, Kelvin
Gibbs, Adele K
Ghuliani, Jot
Middleton, Sandy
Kilkenny, Monique F
author_sort Purvis, Tara
collection PubMed
description 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.
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spelling pubmed-99367892023-02-18 Benefit of linking hospital resource information and patient-level stroke registry data Purvis, Tara Cadilhac, Dominique A Hill, Kelvin Gibbs, Adele K Ghuliani, Jot Middleton, Sandy Kilkenny, Monique F Int J Qual Health Care Original Research Article 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. Oxford University Press 2023-01-24 /pmc/articles/PMC9936789/ /pubmed/36692013 http://dx.doi.org/10.1093/intqhc/mzad003 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Quality in Health Care. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research Article
Purvis, Tara
Cadilhac, Dominique A
Hill, Kelvin
Gibbs, Adele K
Ghuliani, Jot
Middleton, Sandy
Kilkenny, Monique F
Benefit of linking hospital resource information and patient-level stroke registry data
title Benefit of linking hospital resource information and patient-level stroke registry data
title_full Benefit of linking hospital resource information and patient-level stroke registry data
title_fullStr Benefit of linking hospital resource information and patient-level stroke registry data
title_full_unstemmed Benefit of linking hospital resource information and patient-level stroke registry data
title_short Benefit of linking hospital resource information and patient-level stroke registry data
title_sort benefit of linking hospital resource information and patient-level stroke registry data
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936789/
https://www.ncbi.nlm.nih.gov/pubmed/36692013
http://dx.doi.org/10.1093/intqhc/mzad003
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