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

  • Valery L. Feigin*
  • , Rita Krishnamurthi
  • , Oleg Medvedev
  • , Alexander Merkin
  • , Balakrishnan Nair
  • , Michael Kravchenko
  • , Shabnam Jalili-Moghaddam
  • , Suzanne Barker-Collo
  • , Yogini Ratnasabapathy
  • , Luke Skinner
  • , Mayowa Owolabi
  • , Bo Norrving
  • , Perminder S. Sachdev
  • , Bruce Arroll
  • , Michael Brainin
  • , Amanda Thrift
  • , Graeme J. Hankey
  • , Foad Abd-Allah
  • , Rufus Akinyemi
  • , Reza Azarpazhooh
  • Anjali Bhatia, Philip M. Bath, Carol Brayne, Hrvoje Budincevic, Nicholas Child, Kamil Chwojnicki, Manuel Correia, Alan Davis, Gerry Devlin, Vida Demarin, Rajinder K. Dhamija, Ding Ding, Klara Dokova, Makarena Dudley, Jesse Dyer, Misty Edmonds, Marcela Ely, Mehdi Farhoudi, Svetlana Feigin, Caroline Fornolles, Aznida Firzah Abdul Aziz, Denis Gabriel, Seana Gall, Artyom Gil, Elena Gnedovskaya, Ann George, Michal Haršány, Matire Harwood, Argye Hillis, Zeng Guang Hou, Kevin Hwang, Norlinah Ibrahim, Tania Ka’ai, Nidhi Kalra, Judith Katzenellenbogen, Law Zhe Kang, Arindam Kar, Bartosz Karaszewski, Vitalij Kazin, Miia Kivipelto, Saltanat Kamenova, Aida Kondybaeva, Pablo Lavados, Tsong Hai Lee, Liping Liu, Karim Mahawish, Michal Maluchnik, Sheila Martins, Farrah Mateen, Nahal Mavaddat, Man Mohan Mehndiratta, Robert Mikulik, Angela Oliver, Serefnur Özturk, Nikhil Patel, Michael Piradov, Binita Prakash, Tara Purvis, Ulf Dietrich Reips, Kev Roos, Jonathan Rosand, Ramesh Sahathevan, Lakshmanan Sekaran, Nikolay Shamalov, Deidre Anne De Silva, Vinod Singh, Alina Solomon, Padma Srivastava, Nijasri C. Suwanwela, Denise Taylor, Thomas Truelsen, Narayanaswamy Venketasubramanian, Ekaterina Volevach, Ondřej Volný, Joyce Wan, Katila Withanapathirana, Tamara Welte, David Wiebers, Andrea S. Winkler, Tissa Wijeratne, Teddy Wu, Wan Asyraf Wan Zaidi
*Corresponding author for this work
  • Auckland University of Technology
  • University of Waikato
  • Russian Academy of Medical Sciences
  • The University of Auckland
  • Te Whatu Ora—Health New Zealand
  • University of Ibadan
  • Lund University
  • University of New South Wales
  • Prince of Wales Hospital
  • University for Continuing Education Krems
  • Monash University
  • University of Western Australia
  • Perron Institute for Neurological and Translational Science
  • Cairo University
  • Western University
  • University of Nottingham
  • University of Cambridge
  • Sveti Duh University Hospital
  • Josip Juraj Strossmayer University of Osijek
  • Medical University of Gdańsk
  • University Hospital Center of Santo António
  • Te Tai Tokerau Northland
  • National Heart Foundation of Australia
  • Croatian Academy of Sciences and Arts
  • Institute of Human Behavior and Allied Sciences
  • Fudan University
  • Medical University of Varna
  • Iwi United Engagement Limited
  • Masaryk University
  • Tabriz University of Medical Sciences
  • All Life Institute
  • Bedfordshire Hospitals NHS Foundation Trust
  • Universiti Kebangsaan Malaysia
  • University of Tasmania
  • WHO European Office for the Prevention and Control of Noncommunicable Diseases
  • WHO Country Office
  • Johns Hopkins University
  • CAS - Institute of Automation
  • University of Texas Health Science Center at Houston
  • Guru Gobind Singh Indraprastha University
  • Counties Manukau Health
  • Venlo University B.V
  • Karolinska Institutet
  • Farabi University
  • Universidad del Desarrollo
  • Chang Gung Memorial Hospital
  • Capital Medical University
  • Ministry of Health of the Republic of Poland
  • Universidade Federal do Rio Grande do Sul
  • Hospital Moinhos de Vento
  • Massachusetts General Hospital
  • BLK-MAX Super Speciality Hospital
  • Selcuk University
  • University of Konstanz
  • Harvard University
  • Broad Institute
  • Ballarat Health Services
  • Federal Center of Brain Research and Neurotechnologies of the Federal Medical Biological Agency
  • Singapore Health Services
  • All India Institute of Medical Sciences, New Delhi
  • Chulalongkorn University
  • University of Copenhagen
  • Raffles Hospital
  • University of Ostrava
  • Three Kings Accident and Medical Clinic
  • Technical University of Munich
  • University of Oslo
  • Mayo Clinic Rochester, MN
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Western Health
  • Canterbury District Health Board

Research output: Contribution to journalJournal Article peer-review

9 Scopus citations

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 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.

Original languageEnglish
Pages (from-to)94-104
Number of pages11
JournalInternational Journal of Stroke
Volume19
Issue number1
DOIs
StatePublished - 01 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 World Stroke Organization.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Stroke
  • epidemiology
  • hypertension
  • prevention
  • risk factors
  • stroke facilities

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