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dc.contributor.authorRanta, Aen_NZ
dc.contributor.authorThompson, Sen_NZ
dc.contributor.authorHarwood, MLNen_NZ
dc.contributor.authorCadilhac, DA-Men_NZ
dc.contributor.authorBarber, PAen_NZ
dc.contributor.authorDavis, AJen_NZ
dc.contributor.authorGommans, JHen_NZ
dc.contributor.authorFink, JNen_NZ
dc.contributor.authorMcNaughton, HKen_NZ
dc.contributor.authorDenison, Hen_NZ
dc.contributor.authorCorbin, Men_NZ
dc.contributor.authorFeigin, Ven_NZ
dc.contributor.authorAbernethy, Ven_NZ
dc.contributor.authorLevack, Wen_NZ
dc.contributor.authorDouwes, Jen_NZ
dc.contributor.authorGirvan, Jen_NZ
dc.contributor.authorWilson, Aen_NZ
dc.date.accessioned2021-01-17T22:20:47Z
dc.date.available2021-01-17T22:20:47Z
dc.date.copyright2021en_NZ
dc.identifier.citationJMIR Research Protocols 2021;10(1):e25374 URL: https://www.researchprotocols.org/2021/1/e25374 DOI: 10.2196/25374
dc.identifier.issn1929-0748en_NZ
dc.identifier.issn1929-0748en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/13924
dc.description.abstractBackground 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) DERR1-10.2196/25374en_NZ
dc.languageenen_NZ
dc.publisherJMIR Publications Inc.en_NZ
dc.relation.urihttps://www.researchprotocols.org/2021/1/e25374
dc.rights©Annemarei Ranta, Stephanie Thompson, Matire Louise Ngarongoa Harwood, Dominique Ann-Michele Cadilhac, Peter Alan Barber, Alan John Davis, John Henry Gommans, John Newton Fink, Harry Karel McNaughton, Hayley Denison, Marine Corbin, Valery Feigin, Virginia Abernethy, William Levack, Jeroen Douwes, Jacqueline Girvan, Andrew Wilson. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 12.01.2021. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
dc.subjectStroke; Protocols; Stroke units; Rehabilitation; Māori; Pacific people; Health inequities; Cost-efficacy; Rural; Observational study
dc.titleReducing Ethnic and Geographic Inequities to Optimise New Zealand Stroke Care (REGIONS Care): Protocol for a Nationwide Observational Studyen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.2196/25374en_NZ
aut.relation.endpagee25374
aut.relation.issue1en_NZ
aut.relation.startpagee25374
aut.relation.volume10en_NZ
pubs.elements-id397081
aut.relation.journalJMIR Research Protocolsen_NZ


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