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Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †

Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in addition, there is an increased risk of women with G...

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Autores principales: Pais, Sarita, Petrova, Krassie, Parry, Dave
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747688/
https://www.ncbi.nlm.nih.gov/pubmed/35009597
http://dx.doi.org/10.3390/s22010045
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author Pais, Sarita
Petrova, Krassie
Parry, Dave
author_facet Pais, Sarita
Petrova, Krassie
Parry, Dave
author_sort Pais, Sarita
collection PubMed
description Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in addition, there is an increased risk of women with GDM subsequently developing Type 2 diabetes. To alleviate the risks, women with GDM are advised to maintain a record of their diet and blood glucose levels and to attend regular clinical reviews. Rather than using a paper diary, women with GDM can maintain a record of their blood glucose level readings and other relevant data using a wellness mobile application (app). However, such apps are developed for general use and may not meet the specific needs of clinical staff (physicians, dietitians, obstetricians and midwives) involved in managing GDM; for example, an app may record glucose readings but not the details of a meal taken before or after the glucose reading. Second, the apps do not permanently store the data generated by the patient and do not support the transfer of these data to a clinical system or information portal. The mobile health (mHealth) system designed and developed in this research allows one to integrate different types of user generated wellness data into a centralised database. A user-centered design (UCD) approach informed by the technology acceptance model (TAM) was adopted. This paper investigates and evaluates the effectiveness of the approach with regard to facilitating system acceptance and future adoption through an early focus on enhancing system usefulness and ease of use. The functional system requirements of the proposed system were refined through a series of interviews with the perspective of clinical users; ease-of-use and usability issues were resolved through ‘think aloud’ sessions with clinicians and GDM patients.
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spelling pubmed-87476882022-01-11 Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data † Pais, Sarita Petrova, Krassie Parry, Dave Sensors (Basel) Article Gestational diabetes mellitus (GDM) is a condition that appears during pregnancy and is expected to be a temporary one. While patients are encouraged to manage it themselves, research findings indicate that GDM may negatively affect the foetus; in addition, there is an increased risk of women with GDM subsequently developing Type 2 diabetes. To alleviate the risks, women with GDM are advised to maintain a record of their diet and blood glucose levels and to attend regular clinical reviews. Rather than using a paper diary, women with GDM can maintain a record of their blood glucose level readings and other relevant data using a wellness mobile application (app). However, such apps are developed for general use and may not meet the specific needs of clinical staff (physicians, dietitians, obstetricians and midwives) involved in managing GDM; for example, an app may record glucose readings but not the details of a meal taken before or after the glucose reading. Second, the apps do not permanently store the data generated by the patient and do not support the transfer of these data to a clinical system or information portal. The mobile health (mHealth) system designed and developed in this research allows one to integrate different types of user generated wellness data into a centralised database. A user-centered design (UCD) approach informed by the technology acceptance model (TAM) was adopted. This paper investigates and evaluates the effectiveness of the approach with regard to facilitating system acceptance and future adoption through an early focus on enhancing system usefulness and ease of use. The functional system requirements of the proposed system were refined through a series of interviews with the perspective of clinical users; ease-of-use and usability issues were resolved through ‘think aloud’ sessions with clinicians and GDM patients. MDPI 2021-12-22 /pmc/articles/PMC8747688/ /pubmed/35009597 http://dx.doi.org/10.3390/s22010045 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pais, Sarita
Petrova, Krassie
Parry, Dave
Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title_full Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title_fullStr Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title_full_unstemmed Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title_short Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data †
title_sort enhancing system acceptance through user-centred design: integrating patient generated wellness data †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747688/
https://www.ncbi.nlm.nih.gov/pubmed/35009597
http://dx.doi.org/10.3390/s22010045
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