Journal Articles
Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915
Browse
3 results
Search Results
Item 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 ABACKGROUND: 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).Item Clinical risk factors, bone density and fall history in the prediction of incident fracture among men and women(2013) Edwards MH; Jameson K; Denison H; Harvey NC; Sayer AA; Dennison EM; Cooper CThe FRAX(tr) algorithm uses clinical risk factors (CRF) and bone mineral density (BMD) to predict fracture risk but does not include falls history in the calculation. Using results from the Hertfordshire Cohort Study, we examined the relative contributions of CRFs, BMD and falls history to fracture prediction. We studied 2299 participants at a baseline clinic that included completion of a health questionnaire and anthropometric data. A mean of 5.5years later (range 2.9-8.8years) subjects completed a postal questionnaire detailing fall and fracture history. In a subset of 368 men and 407 women, bone densitometry was performed using a Hologic QDR 4500 instrument. There was a significantly increased risk of fracture in men and women with a previous fracture. A one standard deviation drop in femoral neck BMD was associated with a hazards ratio (HR) of incident fracture (adjusted for CRFs) of 1.92 (1.04-3.54) and 1.77 (1.16-2.71) in men and women respectively. A history of any fall since the age of 45years resulted in an unadjusted HR of fracture of 7.31 (3.78-14.14) and 8.56 (4.85-15.13) in men and women respectively. In a ROC curve analysis, the predictive capacity progressively increased as BMD and previous falls were added into an initial model using CRFs alone. Falls history is a further independent risk factor for fracture. Falls risk should be taken into consideration when assessing whether or not to commence medication for osteoporosis and should also alert the physician to the opportunity to target falls risk directly.Item The importance of fall history in fracture risk assessment(2013) Edwards MH; Jameson KA; Denison H; Harvey NC; Sayer AA; Dennison EM; Cooper C
