Usability and feasibility of PreventS-MD web app for stroke prevention
Rattachement africain : nz, ru, Nigéria, se, au, at, Égypte, ca, gb, hr, pl, pt, in, cn, bg, cz, ir, us, my, kz, nl, cl, tw, br, tr, de, sg, th, dk, no. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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 web app (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 two-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 specialties 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 preventive 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: Ninety-nine HCPs from 27 countries (45% from low- to middle-income countries) participated in the study, and out of them, 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, and 59 of them completed the first phase of the survey (response rate 86%), and 58 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 specialty 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 web app 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 preventive recommendations generated by PreventS-MD.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Usability and feasibility of PreventS-MD web app for stroke prevention
- Date Crossref
- 19/08/2023
- Éditeur
- SAGE Publications
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Auckland University of Technology National Institute for Stroke and Applied Neurosciences pays non établi dans la noticeUniversité ou école supérieure
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University of Waikato pays non établi dans la noticeUniversité ou école supérieure
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Research Center of Neurology pays non établi dans la noticeÉtablissement de santé
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University of Auckland Department of General Practice and Primary Health Care pays non établi dans la noticeUniversité ou école supérieure
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Waitemata District Health Board pays non établi dans la noticeÉtablissement de santé
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Health New Zealand pays non établi dans la noticeÉtablissement de santé
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University of Ibadan University of Ibadan, Nigéria (code pays fourni par la source)Université ou école supérieure
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Lund University Section of Neurology pays non établi dans la noticeUniversité ou école supérieure
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Skåne University Hospital pays non établi dans la noticeÉtablissement de santé
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UNSW Sydney pays non établi dans la noticeUniversité ou école supérieure
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Prince of Wales Hospital pays non établi dans la noticeÉtablissement de santé
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Centre for Healthy Brain Ageing pays non établi dans la noticeStructure de recherche
National Institute for Stroke and Applied Neurosciences — Auckland University of Technology, University of Waikato et Research Center of Neurology, avec 9 autres affiliations. Pays d’affiliation : Nigéria, Égypte.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.