{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T18:31:02Z","timestamp":1732041062607},"reference-count":36,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T00:00:00Z","timestamp":1640131200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"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 \u2018think aloud\u2019 sessions with clinicians and GDM patients.<\/jats:p>","DOI":"10.3390\/s22010045","type":"journal-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T07:02:57Z","timestamp":1640242977000},"page":"45","source":"Crossref","is-referenced-by-count":4,"title":["Enhancing System Acceptance through User-Centred Design: Integrating Patient Generated Wellness Data"],"prefix":"10.3390","volume":"22","author":[{"given":"Sarita","family":"Pais","sequence":"first","affiliation":[{"name":"Department of Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2241-109X","authenticated-orcid":false,"given":"Krassie","family":"Petrova","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand"}]},{"given":"Dave","family":"Parry","sequence":"additional","affiliation":[{"name":"Department of IT, Media and Communications, Murdoch University, Perth 6150, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108642","DOI":"10.1016\/j.diabres.2020.108642","article-title":"Increasing prevalence of gestational diabetes mellitus when implementing the IADPSG criteria: A systematic review and meta-analysis","volume":"172","author":"Saeedi","year":"2020","journal-title":"Diabetes Res. 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