{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:03:31Z","timestamp":1755219811611,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643686080"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Mobile health (mHealth) applications play an increasingly significant role in enhancing healthcare delivery and supporting the self-management of long-term conditions. This study aims to identify the essential features of mHealth applications that improve medication adherence and health outcomes in adults with long-term conditions. Using qualitative methods, we recruited 42 participants, including 17 with diabetes, and analysed interview data to generate six core themes: blood glucose improvement, convenience of use, decision-making support, emotional wellbeing, clinician-patient relationship enhancement, and patient empowerment. Key features identified include daily patterns, trend analysis, data sharing, and reminders. The findings underscore the importance of usable and meaningful solutions in developing effective and trustworthy mHealth applications.<\/jats:p>","DOI":"10.3233\/shti250847","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:52Z","timestamp":1754566372000},"source":"Crossref","is-referenced-by-count":0,"title":["Essential Design Features of Mhealth Applications That Improve Medication Adherence for People with Diabetes"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4614-2907","authenticated-orcid":false,"given":"Elisavet","family":"Andrikopoulou","sequence":"first","affiliation":[{"name":"School of Computing, University of Portsmouth"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip","family":"Scott","sequence":"additional","affiliation":[{"name":"Institute of Management and Health, University of Wales Trinity Saint David"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250847","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:32:52Z","timestamp":1754566372000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250847"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250847","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}