Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women

Pelvic floor muscle training (PFMT) is the first line in managing urinary incontinence. Unfortunately, personal, and social barriers involvement hinder pregnant women to perform PFMT. Therefore, a Kegel Exercise Pregnancy Training (KEPT) app was developed to bridge the accessibility barriers among i...

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Main Authors: Jaffar, Aida, Sidik, Sherina Mohd, Admodisastro, Novia, Mansor, Evi Indriasari, Fong, Lau Chia
Format: Article
Published: Science & Information SAI Organization Ltd 2021
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Online Access:http://eprints.um.edu.my/34904/
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spelling my.um.eprints.349042022-05-10T08:11:20Z http://eprints.um.edu.my/34904/ Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women Jaffar, Aida Sidik, Sherina Mohd Admodisastro, Novia Mansor, Evi Indriasari Fong, Lau Chia QA75 Electronic computers. Computer science Pelvic floor muscle training (PFMT) is the first line in managing urinary incontinence. Unfortunately, personal, and social barriers involvement hinder pregnant women to perform PFMT. Therefore, a Kegel Exercise Pregnancy Training (KEPT) app was developed to bridge the accessibility barriers among incontinent pregnant women. This study aimed to evaluate the usability properties of the KEPT app developed for pregnant women to improve their pelvic floor muscle training. A purposive sampling method of the experts was conducted from a sample of experts in informatics and a physician with a special interest in informatics. The design activities were planned in the following sequence: cognitive walkthrough for learnability of the app, heuristic evaluation for the interface of the app and usability questionnaire to evaluate the usability properties (quantitative assessment) of the app. The mHealth application usability questionnaire (MAUQ) was used as its assessment tool to assess the application usability. A total of four experts were involved in this study. Cognitive walkthrough revealed that the KEPT app has several major learnability issues especially the training interface and language consistency to ensure its learnability. Heuristic evaluation showed that the training interface must provide additional information regarding the displayed icon. KEPT app was rated by MAUQ being as ease-of-use, the interface and satisfaction with the usefulness by all the experts which scored 5.80/7.0, 5.57/7.0, and 5.83/7.0, respectively. The suggestions were shared to assist future researchers and developers in developing PFMT mHealth app. Science & Information SAI Organization Ltd 2021-10 Article PeerReviewed Jaffar, Aida and Sidik, Sherina Mohd and Admodisastro, Novia and Mansor, Evi Indriasari and Fong, Lau Chia (2021) Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women. International Journal of Advanced Computer Science and Applications, 12 (10). pp. 165-173. ISSN 2158-107X,
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Jaffar, Aida
Sidik, Sherina Mohd
Admodisastro, Novia
Mansor, Evi Indriasari
Fong, Lau Chia
Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
description Pelvic floor muscle training (PFMT) is the first line in managing urinary incontinence. Unfortunately, personal, and social barriers involvement hinder pregnant women to perform PFMT. Therefore, a Kegel Exercise Pregnancy Training (KEPT) app was developed to bridge the accessibility barriers among incontinent pregnant women. This study aimed to evaluate the usability properties of the KEPT app developed for pregnant women to improve their pelvic floor muscle training. A purposive sampling method of the experts was conducted from a sample of experts in informatics and a physician with a special interest in informatics. The design activities were planned in the following sequence: cognitive walkthrough for learnability of the app, heuristic evaluation for the interface of the app and usability questionnaire to evaluate the usability properties (quantitative assessment) of the app. The mHealth application usability questionnaire (MAUQ) was used as its assessment tool to assess the application usability. A total of four experts were involved in this study. Cognitive walkthrough revealed that the KEPT app has several major learnability issues especially the training interface and language consistency to ensure its learnability. Heuristic evaluation showed that the training interface must provide additional information regarding the displayed icon. KEPT app was rated by MAUQ being as ease-of-use, the interface and satisfaction with the usefulness by all the experts which scored 5.80/7.0, 5.57/7.0, and 5.83/7.0, respectively. The suggestions were shared to assist future researchers and developers in developing PFMT mHealth app.
format Article
author Jaffar, Aida
Sidik, Sherina Mohd
Admodisastro, Novia
Mansor, Evi Indriasari
Fong, Lau Chia
author_facet Jaffar, Aida
Sidik, Sherina Mohd
Admodisastro, Novia
Mansor, Evi Indriasari
Fong, Lau Chia
author_sort Jaffar, Aida
title Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
title_short Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
title_full Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
title_fullStr Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
title_full_unstemmed Expert's usability evaluation of the pelvic floor muscle training mHealth app for pregnant women
title_sort expert's usability evaluation of the pelvic floor muscle training mhealth app for pregnant women
publisher Science & Information SAI Organization Ltd
publishDate 2021
url http://eprints.um.edu.my/34904/
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score 13.209306