DiaFocus: A Personal Health Technology for Adaptive Assessment in Long-Term Management of Type 2 Diabetes
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DiaFocus : A Personal Health Technology for Adaptive Assessment in Long-Term Management of Type 2 Diabetes. / Bardram, Jakob E.; Cramer-Petersen, Claus; Maxhuni, Alban; Christensen, Mads V.; Bækgaard, Per; Persson, Dan R.; Lind, Nanna; Christensen, Merete B.; Nørgaard, Kirsten; Khakurel, Jayden; Skinner, Timothy; Kownatka, Dagmar; Jones, Allan.
I: ACM Transactions on Computing for Healthcare, Bind 4, Nr. 2, 13, 2023.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - DiaFocus
T2 - A Personal Health Technology for Adaptive Assessment in Long-Term Management of Type 2 Diabetes
AU - Bardram, Jakob E.
AU - Cramer-Petersen, Claus
AU - Maxhuni, Alban
AU - Christensen, Mads V.
AU - Bækgaard, Per
AU - Persson, Dan R.
AU - Lind, Nanna
AU - Christensen, Merete B.
AU - Nørgaard, Kirsten
AU - Khakurel, Jayden
AU - Skinner, Timothy
AU - Kownatka, Dagmar
AU - Jones, Allan
PY - 2023
Y1 - 2023
N2 - Type 2 diabetes (T2D) is a large disease burden worldwide and represents an increasing and complex challenge for all societies. For the individual, T2D is a complex, multi-dimensional, and long-term challenge to manage, and it is challenging to establish and maintain good communication between the patient and healthcare professionals. This article presents DiaFocus, which is a mobile health sensing application for long-term ambulatory management of T2D. DiaFocus supports an adaptive collection of physiological, behavioral, and contextual data in combination with ecological assessments of psycho-social factors. This data is used for improving patient-clinician communication during consultations. DiaFocus is built using a generic data collection framework for mobile and wearable sensing and is highly extensible and customizable. We deployed DiaFocus in a 6-week feasibility study involving 12 patients with T2D. The patients found the DiaFocus approach and system useful and usable for diabetes management. Most patients would use such a system, if available as part of their treatment. Analysis of the collected data shows that mobile sensing is feasible for longitudinal ambulatory assessment of T2D, and helped identify the most appropriate target users being early diagnosed and technically literate T2D patients.
AB - Type 2 diabetes (T2D) is a large disease burden worldwide and represents an increasing and complex challenge for all societies. For the individual, T2D is a complex, multi-dimensional, and long-term challenge to manage, and it is challenging to establish and maintain good communication between the patient and healthcare professionals. This article presents DiaFocus, which is a mobile health sensing application for long-term ambulatory management of T2D. DiaFocus supports an adaptive collection of physiological, behavioral, and contextual data in combination with ecological assessments of psycho-social factors. This data is used for improving patient-clinician communication during consultations. DiaFocus is built using a generic data collection framework for mobile and wearable sensing and is highly extensible and customizable. We deployed DiaFocus in a 6-week feasibility study involving 12 patients with T2D. The patients found the DiaFocus approach and system useful and usable for diabetes management. Most patients would use such a system, if available as part of their treatment. Analysis of the collected data shows that mobile sensing is feasible for longitudinal ambulatory assessment of T2D, and helped identify the most appropriate target users being early diagnosed and technically literate T2D patients.
U2 - 10.1145/3586579
DO - 10.1145/3586579
M3 - Journal article
VL - 4
JO - ACM Transactions on Computing for Healthcare
JF - ACM Transactions on Computing for Healthcare
SN - 2691-1957
IS - 2
M1 - 13
ER -
ID: 358890431