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

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

Journal
International Journal of Stroke
ISSN
1747-4930
1747-4949
Date Issued
2023
Author(s)
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
Type
Resource Types::text::journal::journal article
Scopus ID
2-s2.0-85170270707
DOI
10.1177/17474930231190745
URL
https://investigadores.udd.cl/handle/123456789/8473
Abstract
<jats:sec><jats:title>Background:</jats:title><jats:p> 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. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> 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. </jats:p></jats:sec><jats:sec><jats:title>Findings:</jats:title><jats:p> 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. </jats:p></jats:sec><jats:sec><jats:title>Interpretation:</jats:title><jats:p> 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. </jats:p></jats:sec>
Cite this document
Feigin, V. L., Krishnamurthi, R., Medvedev, O., Merkin, A., Nair, B., Kravchenko, M., Jalili-Moghaddam, S., Barker-Collo, S., Ratnasabapathy, Y., Skinner, L., Owolabi, M., Norrving, B., Sachdev, P. S., Arroll, B., Brainin, M., Thrift, A., Hankey, G. J., Abd-Allah, F., Akinyemi, R., … Asyraf Wan Zaidi, W. (2024). Usability and feasibility of PreventS-MD web app for stroke prevention. International Journal of Stroke, 19(1), 94-104. https://doi.org/10.1177/17474930231190745
Subjects
epidemiology

; 

hypertension

; 

prevention

; 

risk factors

; 

stroke

; 

stroke facilities

; 

cross-sectional studies

; 

feasibility studies

; 

humans

; 

mobile applications

; 

stroke

; 

surveys and questionnaires

; 

adult

; 

aged

; 

article

; 

cardiovascular disease

; 

cerebrovascular accident

; 

chronic obstructive lung disease

; 

clinical practice

; 

cross-sectional study

; 

dementia

; 

demographics

; 

diabetes mellitus

; 

disease risk assessment

; 

ethnicity

; 

feasibility study

; 

female

; 

follow up

; 

geriatrician

; 

health care organization

; 

health care personnel

; 

high income country

; 

human

; 

hypertension

; 

lifestyle modification

; 

linear regression analysis

; 

low income country

; 

lung embolism

; 

male

; 

middle income country

; 

motivation

; 

neurologist

; 

obesity

; 

online analysis

; 

phase 1 clinical trial

; 

phase 2 clinical trial

; 

pneumonia

; 

public health

; 

qualitative analysis

; 

quantitative analysis

; 

risk factor

; 

sedentary lifestyle

; 

self report

; 

semi structured interview

; 

smoking

; 

social acceptance

; 

systolic blood pressure

; 

thromboembolism

; 

usability

; 

work experience

; 

feasibility study

; 

questionnaire
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