Browsing by Author "Barber PA"

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    Geographic Disparities in Stroke Outcomes and Service Access: A Prospective Observational Study
    (Wolters Kluwer Health, Inc on behalf of the American Academy of Neurology, 26/07/2022) Thompson SG; Barber PA; Gommans JH; Cadilhac DA; Davis A; Fink JN; Harwood M; Levack W; McNaughton HK; Feigin VL; Abernethy V; Girvan J; Kim J; Denison H; Corbin M; Wilson A; Douwes J; Ranta A
    BACKGROUND AND OBJECTIVE: International evidence shows that patients treated at non-urban hospitals experience poorer access to key stroke interventions. Evidence whether this results in poorer outcomes is conflicting and generally based on administrative or voluntary registry data. The aim of this study was to use prospective high-quality comprehensive nationwide patient level data to investigate the association between hospital geography and stroke patient outcomes and access to best practice stroke care in New Zealand. METHODS: This is a prospective, multi-centre, nationally representative observational study involving all 28 New Zealand acute stroke hospitals (18 non-urban), and affiliated rehabilitation and community services. Consecutive adults admitted to the hospital with acute stroke between 1 May and 31 October 2018 were captured. Outcomes included functional outcome (modified Rankin Scale (mRS) shift analysis), functional independence (mRS scores 0-2), quality of life (EQ5D-3L), stroke/vascular events, and death at 3, 6, and 12 months and proportion accessing thrombolysis, thrombectomy, stroke units, key investigations, secondary prevention, and inpatient/community rehabilitation. Results were adjusted for age, sex, ethnicity, stroke severity/type, co-morbidities, baseline function, and differences in baseline characteristics. RESULTS: Overall, 2,379 patients were eligible (mean (standard deviation) age 75 (13.7); 51.2% male; 1,430 urban; 949 non-urban). Patients treated at non-urban hospitals were more likely to score in a higher mRS category (greater disability) at three (aOR=1.28, 1.07-1.53), six (aOR=1.33, 1.07-1.65) and twelve months (aOR=1.31, 1.06-1.62) and were more likely to have died (aOR=1.57, 1.17-2.12) or experienced recurrent stroke and vascular events at 12 months (aOR=1.94, 1.14-3.29 and aOR=1.65, 1.09-2.52). Fewer non-urban patients received recommended stroke interventions including endovascular thrombectomy (aOR=0.25, 95% confidence interval 0.13-0.49), acute stroke unit care (aOR=0.60, 0.49-0.73), antiplatelet prescriptions (aOR=0.72, 0.58-0.88), ≥60 minutes daily physical therapy (aOR=0.55, 0.40-0.77) and community rehabilitation (aOR=0.69, 0.56-0.84). DISCUSSION: Patients managed at non-urban hospitals experience poorer stroke outcomes and reduced access to key stroke interventions across the entire care continuum. Efforts to improve access to high quality stroke care in non-urban hospitals should be a priority.
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    Reducing ethnic and geographic inequities to optimise New Zealand stroke care (REGIONS Care): Protocol for a nationwide observational study
    (JMIR Publications, 12/01/2021) Ranta A; Thompson S; Harwood MLN; Cadilhac DA-M; Barber PA; Davis AJ; Gommans JH; Fink JN; McNaughton HK; Denison H; Corbin M; Feigin V; Abernethy V; Levack W; Douwes J; Girvan J; Wilson A; Derrick, T
    Background: Stroke systems of care differ between larger urban and smaller rural settings and it is unclear to what extent this may impact on patient outcomes. Ethnicity influences stroke risk factors and care delivery as well as patient outcomes in nonstroke settings. Little is known about the impact of ethnicity on poststroke care, especially in Māori and Pacific populations. Objective: Our goal is to describe the protocol for the Reducing Ethnic and Geographic Inequities to Optimise New Zealand Stroke Care (REGIONS Care) study. Methods: This large, nationwide observational study assesses the impact of rurality and ethnicity on best practice stroke care access and outcomes involving all 28 New Zealand hospitals caring for stroke patients, by capturing every stroke patient admitted to hospital during the 2017-2018 study period. In addition, it explores current access barriers through consumer focus groups and consumer, carer, clinician, manager, and policy-maker surveys. It also assesses the economic impact of care provided at different types of hospitals and to patients of different ethnicities and explores the cost-efficacy of individual interventions and care bundles. Finally, it compares manual data collection to routine health administrative data and explores the feasibility of developing outcome models using only administrative data and the cost-efficacy of using additional manually collected registry data. Regarding sample size estimates, in Part 1, Study A, 2400 participants are needed to identify a 10% difference between up to four geographic subgroups at 90% power with an α value of .05 and 10% to 20% loss to follow-up. In Part 1, Study B, a sample of 7645 participants was expected to include an estimated 850 Māori and 419 Pacific patients and to provide over 90% and over 80% power, respectively. Regarding Part 2, 50% of the patient or carer surveys, 40 provider surveys, and 10 focus groups were needed to achieve saturation of themes. The main outcome is the modified Rankin Scale (mRS) score at 3 months. Secondary outcomes include mRS scores; EQ-5D-3L (5-dimension, 3-level EuroQol questionnaire) scores; stroke recurrence; vascular events; death; readmission at 3, 6, and 12 months; cost of care; and themes around access barriers. Results: The study is underway, with national and institutional ethics approvals in place. A total of 2379 patients have been recruited for Part 1, Study A; 6837 patients have been recruited for Part 1, Study B; 10 focus groups have been conducted and 70 surveys have been completed in Part 2. Data collection has essentially been completed, including follow-up assessment; however, primary and secondary analyses, data linkage, data validation, and health economics analysis are still underway. Conclusions: The methods of this study may provide the basis for future epidemiological studies that will guide care improvements in other countries and populations. International Registered Report Identifier (IRRID): DERR1-10.2196/25374
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    The impact of ethnicity on stroke care access and patient outcomes: a New Zealand nationwide observational study
    (Elsevier Ltd, 2022-03) Thompson SG; Barber PA; Gommans JH; Cadilhac DA; Davis A; Fink JN; Harwood M; Levack W; McNaughton H; Feigin VL; Abernethy V; Girvan J; Denison H; Corbin M; Wilson A; Douwes J; Ranta A
    BACKGROUND: Ethnic inequities in stroke care access have been reported internationally but the impact on outcomes remains unclear. In New Zealand, data on ethnic stroke inequities and resultant effects on outcomes are generally limited and conflicting. METHODS: In a prospective, nationwide, multi-centre observational study, we recruited consecutive adult patients with confirmed stroke from 28 hospitals between 1 May and 31 October 2018. Patient outcomes: favourable functional outcomes (modified Rankin Scale 0-2); quality of life (EQ-5D-3L); stroke/vascular events; and death at three, six and 12 months. Process measures: access to reperfusion therapies, stroke-units, investigations, secondary prevention, rehabilitation. Multivariate regression analyses assessed associations between ethnicity and outcomes and process measures. FINDINGS: The cohort comprised 2,379 patients (median age 78 (IQR 66-85); 51·2% male; 76·7% European, 11·5% Māori, 4·8% Pacific peoples, 4·8% Asian). Non-Europeans were younger, had more risk factors, had reduced access to acute stroke units (aOR=0·78, 95%CI, 0·60-0·97), and were less likely to receive a swallow screen within 24 hours of arrival (aOR=0·72, 0·53-0·99) or MRI imaging (OR=0·66, 0·52-0·85). Māori were less frequently prescribed anticoagulants (OR=0·68, 0·47-0·98). Pacific peoples received greater risk factor counselling. Fewer non-Europeans had a favourable mRS score at three (aOR=0·67, 0·47-0·96), six (aOR=0·63, 0·40-0·98) and 12 months (aOR=0·56, 0·36-0·88), and more Māori had died by 12 months (aOR=1·76, 1·07-2·89). INTERPRETATION: Non-Europeans, especially Māori, had poorer access to key stroke interventions and experience poorer outcomes. Further optimisation of stroke care targeting high-priority populations are needed to achieve equity. FUNDING: New Zealand Health Research Council (HRC17/037).