{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:57Z","timestamp":1747216197086,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685335"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"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":[[2024,8,22]]},"abstract":"<jats:p>Healthy lifestyle behaviors are essential in the treatment of type 2 diabetes, and meal registration is therefore important. Manual meal registration is cumbersome and could be automated using continuous glucose monitoring (CGM). If such an algorithm is based on patient-reported meals, potential errors might be induced. Thus, the aim was to investigate potential errors in patient-reported mealtimes and the effect on automatic meal detection. Two healthcare professionals (HCPs) reported the mealtimes of the 18 included patients based on the patients\u2019 CGM data to assess the agreement between HCP- and patient-reported mealtimes. A developed meal detection algorithm based on detecting the post-prandial glucose response using cross-correlation was used to assess the impact of errors in patient-reported meals. The results showed poor disagreement between HCP- and patient-reported meals and that the meal detection algorithm had a moderately better performance on the HCP-reported meals. Therefore, the possibility of errors in patient-reported mealtimes should be considered in the development of meal detection algorithms. However, more research is needed to confirm the results of this study.<\/jats:p>","DOI":"10.3233\/shti240791","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:47:27Z","timestamp":1724410047000},"source":"Crossref","is-referenced-by-count":0,"title":["Discordance Between Mealtimes Reported by Trial Participants with Type 2 Diabetes and Healthcare Professionals"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3263-0966","authenticated-orcid":false,"given":"Nynne Sophie","family":"Holdt-Caspersen","sequence":"first","affiliation":[{"name":"Department of Data Science, Novo Nordisk, Denmark"},{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claus","family":"Dethlefsen","sequence":"additional","affiliation":[{"name":"Department of Data Science, Novo Nordisk, Denmark"},{"name":"Department of Mathematical Sciences, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ole","family":"Hejlesen","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Vestergaard","sequence":"additional","affiliation":[{"name":"Steno Diabetes Center North Denmark, Aalborg University Hospital, Denmark"},{"name":"Department of Endocrinology, Aalborg University Hospital, Denmark"},{"name":"Department of Clinical Medicine, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stine","family":"Hangaard","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, Denmark"},{"name":"Steno Diabetes Center North Denmark, Aalborg University Hospital, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iben Engelbrecht","family":"Giese","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julie","family":"Egmose","sequence":"additional","affiliation":[{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Morten Hasselstr\u00f8m","family":"Jensen","sequence":"additional","affiliation":[{"name":"Department of Data Science, Novo Nordisk, Denmark"},{"name":"Department of Health Science and Technology, Aalborg University, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:47:28Z","timestamp":1724410048000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240791"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240791","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}