Usability and feasibility of PreventS-MD web app for stroke prevention

Abstract

Background: Most strokes and cardiovascular diseases (CVDs) are potentially preventable if their risk factors are identified and well controlled. Digital platforms, such as the PreventS-MD webapp (PreventS-MD) may aid health care professionals (HCPs) in assessing and managing risk factors and promoting lifestyle changes for their patients. Methods: This is a mixed methods cross-sectional 2-phase survey using a largely positivist (quantitative and qualitative) framework. During phase 1, a prototype of PreventS-MD was tested internationally by 59 of 69 consenting HCPs of different backgrounds, age, sex, working experience and specialities using hypothetical data. Collected comments/suggestions from the study HCPs in phase 1 were reviewed and implemented. In phase 2, a near-final version of PreventS-MD was developed and tested by 58 of 72 consenting HCPs using both hypothetical and real patient (n=10) data. Qualitative semi-structured interviews with real patients (n=10) were conducted, and 1-month adherence to the preventative recommendations was assessed by self-reporting. The four System Usability Scale (SUS) groups of scores (0-50 unacceptable; 51-68 poor, 68-80.3 good; >80.3 excellent) were used to determine usability of PreventS-MD. Findings: 99 HCPs from 27 countries (45% from low- to middle-income countries) participated in the study, out of whom 10 HCPs were involved in the development of PreventS before the study, and therefore were not involved in the survey. Of the remaining 89 HCPs 69 consented to the first phase of the survey, out of whom 59 completed the first phase of the survey (response rate 86%) and 58 HCPs completed the second phase of the survey (response rate 84%). The SUS scores supported good usability of the prototype (mean score=80.2; 95% CI [77.0-84.0]) and excellent usability of the final version of PreventS-MD (mean score=81.7; 95%CI [79.1-84.3]) in the field. Scores were not affected by the age, sex, working experience or speciality of the HCPs. One month follow-up of the patients confirmed the high level of satisfaction/acceptability of PreventS-MD and (100%) adherence to the recommendations. Interpretation: 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.

Designing an App to Support Measurement-Based Peer Supervision of Frontline Health Workers Delivering Brief Psychosocial Interventions in Texas: Multimethod Study

“…Overall, participants found the app usable, with an average SUS of 72.5 (SD 18.1) compared with the industry benchmark of 68, which has been found to be the average SUS for digital health apps and used in previous digital health studies [ 56 , 57 ]. The average SUS scores from older participants (aged >50 years) were lower than those from younger participants ( Table 4 ).…”

PreventS-MD®: a New Digital Technology to Maintain Cardiovascular Prevention in Routine Clinical Practice

“…В 2023 г. разработка программного продукта была завершена. В сотрудничестве с новозеландским Национальным институтом инсульта и прикладных нейронаук проведено тестирование удобства использования системы врачами из 27 стран [12]. В настоящее время проводится клиническая апробация системы.…”

Evaluating the influence of a 3-min online video on the community knowledge of stroke in four Arab countries

“…Educational campaigns, including mass media ( 10 ), and digital platforms such as mobile applications [e.g., the PreventS-MD web app (PreventS-MD) ( 11 ) and stroke riskometer ( 12 )], text messages to mobile health telemedicine ( 12 ), computer and web-based technologies, including artificial intelligence, are adapted tools to support stroke knowledge, awareness, and management ( 6 ). A systematic review and meta-analysis found that public stroke campaigns significantly influence the identification of stroke symptoms and the urgency for hospital transfer ( 13 ).…”