Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Thomas Kronborg"'
Autor:
Anne-Maj Knudsen, Ann-Cathrine Dalgård Dunvald, Stine Hangaard, Ole Hejlesen, Thomas Kronborg
Publikováno v:
JMIR Research Protocols, Vol 13, p e58296 (2024)
BackgroundCollaborative care interventions have been proposed as a promising strategy to support patients with multimorbidity. Despite this, the effectiveness of collaborative care interventions requires further evaluation. Existing systematic review
Externí odkaz:
https://doaj.org/article/c5f99dc01a8d4c4a8eae7ba09acfe1dc
Autor:
Stine Hangaard, Thomas Kronborg, Ole Hejlesen, Tinna Björk Aradóttir, Anne Kaas, Henrik Bengtsson, Peter Vestergaard, Morten Hasselstrøm Jensen
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-9 (2022)
Abstract Background The effect of telemedicine solutions in diabetes remains inconclusive. However, telemedicine studies have shown a positive trend in regards to glycemic control. The telemedicine interventions that facilitate adjustment of medicati
Externí odkaz:
https://doaj.org/article/f14c702dc1cc435f80e1af7a2db9f5d2
Autor:
Pernille Heyckendorff Secher, Stine Hangaard, Thomas Kronborg, Lisa Korsbakke Emtekær Hæsum, Flemming Witt Udsen, Ole Hejlesen, Clara Bender
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-10 (2022)
Abstract Background Acute exacerbations have a significant impact on patients with COPD by accelerating the decline in lung function leading to decreased health-related quality of life and survival time. In telehealth, health care professionals exerc
Externí odkaz:
https://doaj.org/article/159d9fcae22445259d9ea549c3d12a6e
Autor:
Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen
Publikováno v:
Thomsen, C H N, Hangaard, S, Kronborg, T, Vestergaard, P, Hejlesen, O & Jensen, M H 2022, ' Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance ', Journal of Diabetes Science and Technology . https://doi.org/10.1177/19322968221145964
Background: Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adjustment during basal insulin titration in clinical practice leading to suboptimal treatment. Thus, 60% of people with T2D treated with insulin do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcdf26fc042d7185216e1ecc24f70561
https://vbn.aau.dk/da/publications/1ebd5465-7bd0-4a53-a193-a71c66cc21f2
https://vbn.aau.dk/da/publications/1ebd5465-7bd0-4a53-a193-a71c66cc21f2
Publikováno v:
Kronborg, T, Hangaard, S, Hejlesen, O, Vestergaard, P & Jensen, M H 2022, ' Bedtime prediction of nocturnal hypoglycemia in insulin treated type 2 diabetes patients ', Journal of Diabetes Science and Technology . https://doi.org/10.1177/19322968221141736
Background and Aims: Hypoglycemia may lead to anxiety, poor adherence, and hypoglycemia unawareness and is especially a threat during the night in patients with insulin-treated type 2 diabetes (T2D). It would therefore be beneficial to warn patients
Autor:
Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen
Publikováno v:
Thomsen, C H N, Hangaard, S, Kronborg, T, Vestergaard, P, Hejlesen, O & Jensen, M H 2022, Time for using Machine Learning for Basal Insulin Dose Guidance for People with Type 2 Diabetes? Preliminary Results from a Systematic Review . in Proceedings of the 18th Scandinavian Conference on Health Informatics . Linköping University Electronic Press, Scandinavian conference on health informatics, pp. 206-207, The Scandinavian Conference on Health Informatics (SHI) 2022, Tromsø, Norway, 22/08/2022 . https://doi.org/10.3384/ecp187034
The present systematic review aims to provide an overview and categorization of dose guidance methods that support basal insulin titration for people with type 2 diabetes. At the time of writing, quality assessment of the included articles is ongoing
Autor:
Pernille Heyckendorff Secher, Stine Hangaard, Thomas Kronborg, Lisa Korsbakke Emtekær Hæsum, Flemming Witt Udsen, Ole Hejlesen, Clara Bender
Publikováno v:
Secher, P H, Hangaard, S, Kronborg, T, Hæsum, L K E, Udsen, F W, Hejlesen, O & Bender, C 2022, ' Clinical implementation of an algorithm for predicting exacerbations in patients with COPD in telemonitoring : a study protocol for a single-blinded randomized controlled trial ', Trials, vol. 23, no. 1, 356 . https://doi.org/10.1186/s13063-022-06292-y
Background Acute exacerbations have a significant impact on patients with COPD by accelerating the decline in lung function leading to decreased health-related quality of life and survival time. In telehealth, health care professionals exercise clini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7910fd53f622eed6f9ee4b20340b19c
https://vbn.aau.dk/da/publications/01c84a92-6f7f-4e9e-9224-d998f6805a18
https://vbn.aau.dk/da/publications/01c84a92-6f7f-4e9e-9224-d998f6805a18
Autor:
Flemming Witt Udsen, Stine Hangaard, Clara Bender, Jonas Andersen, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Sisse Laursen
Publikováno v:
J Diabetes Sci Technol
Udsen, F W, Hangaard, S, Bender, C, Andersen, J S D, Kronborg, T, Vestergaard, P, Hejlesen, O & Laursen, S H 2023, ' The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management : A Systematic Review and Meta-analysis ', Journal of Diabetes Science and Technology, vol. 17, no. 3, pp. 782-793 . https://doi.org/10.1177/19322968221076874
Udsen, F W, Hangaard, S, Bender, C, Andersen, J S D, Kronborg, T, Vestergaard, P, Hejlesen, O & Laursen, S H 2023, ' The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management : A Systematic Review and Meta-analysis ', Journal of Diabetes Science and Technology, vol. 17, no. 3, pp. 782-793 . https://doi.org/10.1177/19322968221076874
Background: Telemedicine holds a potential to strengthen self-management support outside health care settings in the everyday management of type 1 diabetes (T1D). However, existing effectiveness reviews are older or include a relatively narrow focus
Publikováno v:
Cichosz, S L, Kronborg, T, Jensen, M H & Hejlesen, O 2021, ' Penalty Weighted Glucose Prediction Models Could Lead to Better Clinically Usage ', Computers in Biology and Medicine, vol. 138, 104865 . https://doi.org/10.1016/j.compbiomed.2021.104865
Background and objective Numerous attempts to predict glucose value from continuous glucose monitors (CGM) have been published. However, there is a lack of proper analysis and modeling of penalty for errors in different glycemic ranges. The aim of th
Autor:
Clara, Bender, Stine, Hangaard, Thomas, Kronborg, Ole Kristian, Hejlesen, Pernille Heyckendorff, Secher
Publikováno v:
Studies in health technology and informatics. 281
The aim of the present study was to evaluate patient-related perspectives from a five-week test of the implementation of a COPD prediction algorithm. The test intended to discover and avoid potential errors prior to testing the COPD prediction algori