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- Jones, Kelly M., et al.
(author)
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Determining the feasibility and preliminary efficacy of a stroke instructional and educational DVD in a multinational context : a randomized controlled pilot study
- 2018
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In: Clinical Rehabilitation. - : SAGE Publications. - 0269-2155 .- 1477-0873. ; 32:8, s. 1086-1097
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Journal article (peer-reviewed)abstract
- Objective: To assess the feasibility of conducting a randomized controlled trial of an instructional and educational stroke DVD and determine the feasibility and preliminary efficacy of this intervention in a multinational context. Design: Non-funded, pilot randomized controlled trial of intervention versus usual care. Setting: International, multicentre, community-based. Participants: Community-living adults up to three years post stroke with moderate to severe disability and their nominated informal caregivers. Interventions: Intervention patients viewed and practised rehabilitation techniques demonstrated in the DVD over six weeks. Main measures: Trial feasibility by number of active recruitment sites, recruitment efficiency, randomization and follow-up. Intervention feasibility by patient and caregiver impressions. Preliminary efficacy by the quality of life – 5-level EuroQol-5D (EQ-5D) health status measure, General Health Questionnaire and Centre for Epidemiological Studies–Depression at two months. Results: In total, 14 recruitment sites were established across eight countries. Recruitment was achieved at nine (64%) sites. Over 16 months, 66 participants were recruited (mean (SD) age = 63.5 (12.47) years) and randomized to intervention (n = 34) and control (n = 32) groups. In total, 54 (82%) completed a follow-up assessment. Patient and/or caregiver comments about the benefits and barriers to accessing the intervention were mixed. There were no significant between-group differences in outcomes at two months (P > 0.05). Conclusion: Conducting a multinational trial of a stroke DVD requires full funding. The intervention was acceptable to some patients and their caregivers, yet a generalized education approach did not fully meet their needs and/or expectations. A more individualized method may be required to meet peoples’ changing needs during stroke recovery.
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| 2. |
- Parmar, Priya, et al.
(author)
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The Stroke Riskometer (TM) App: Validation of a data collection tool and stroke risk predictor
- 2015
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In: International Journal of Stroke. - : SAGE Publications. - 1747-4949 .- 1747-4930. ; 10:2, s. 231-244
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Journal article (peer-reviewed)abstract
- BackgroundThe greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the mass' approach), the high risk' approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer(TM), has been developed. We aim to explore the validity of the app for predicting the risk of stroke compared with current best methods. Methods752 stroke outcomes from a sample of 9501 individuals across three countries (New Zealand, Russia and the Netherlands) were utilized to investigate the performance of a novel stroke risk prediction tool algorithm (Stroke Riskometer(TM)) compared with two established stroke risk score prediction algorithms (Framingham Stroke Risk Score [FSRS] and QStroke). We calculated the receiver operating characteristics (ROC) curves and area under the ROC curve (AUROC) with 95% confidence intervals, Harrels C-statistic and D-statistics for measure of discrimination, R-2 statistics to indicate level of variability accounted for by each prediction algorithm, the Hosmer-Lemeshow statistic for calibration, and the sensitivity and specificity of each algorithm. ResultsThe Stroke Riskometer(TM) performed well against the FSRS five-year AUROC for both males (FSRS=750% (95% CI 723%-776%), Stroke Riskometer(TM)=740(95% CI 713%-767%) and females [FSRS=703% (95% CI 679%-728%, Stroke Riskometer(TM)=715% (95% CI 690%-739%)], and better than QStroke [males - 597% (95% CI 573%-620%) and comparable to females=711% (95% CI 690%-731%)]. Discriminative ability of all algorithms was low (C-statistic ranging from 051-056, D-statistic ranging from 001-012). Hosmer-Lemeshow illustrated that all of the predicted risk scores were not well calibrated with the observed event data (P<0006). ConclusionsThe Stroke Riskometer(TM) is comparable in performance for stroke prediction with FSRS and QStroke. All three algorithms performed equally poorly in predicting stroke events. The Stroke Riskometer(TM) will be continually developed and validated to address the need to improve the current stroke risk scoring systems to more accurately predict stroke, particularly by identifying robust ethnic/race ethnicity group and country specific risk factors.
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