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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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Background and Aims: Evidence-based health-related digital technologies have been identified as critical tools for enhancing interventions to prevent stroke and cardiovascular disease (CVD). The PreventS-MD webapp has been identified as the only validated such digital tool in a recent systematic review. It was specifically designed for health care professionals (HCPs) to assess a patient’s risk of stroke and enables HCPs to provide patient-centred evidence-based recommendations for primary and secondary prevention of stroke (applicable to other major NCDs), to empower and motivate patients to control their risk factors. However, HCPs’ and patients’ satisfaction and usability of this webapp for prevention of stroke/CVD have not yet been evaluated. We aimed to evaluate these perspectives of webapp usability. Methods: This is an international, mixed methods design survey of 100 HCPs from 27 countries (from high- and low- to middle-income countries) with diverse demographic and speciality backgrounds. Results: 100 participants completed the survey (55% from high-income and 45% from low- to middle-income countries). System Usability Scale scores demonstrated excellent usability of the PreventS-MD webapp (M=81.7; 95%CI [79.1-84.3]), with usefulness response rates ranging from 88% to 98%. Patients followed-up at one month demonstrated a high level of adherence to prescribed recommendations. Conclusions: The PreventS-MD webapp has a high level of usability, feasibility and satisfaction by HCPs and individuals at risk of stroke/CVD. Individuals at risk of stroke/CVD demonstrated a high level of confidence and motivation in following and adhering to preventative recommendations generated by PreventS-MD. Further research is required to determine its long-term adherence to the preventative recommendations and their effectiveness