Étude et rapport

An International, Mixed-Methods Study of the Perceived Intrusiveness of Remote Digital Diabetes Monitoring

GRATUIT

Auteur(s) :

Theodora Oikonomidi, MSc; Philippe Ravaud, MD, PhD; Arthur James, MD, MSc; Emmanuel Cosson, MD, PhD; Victor Montori, MD, PhD; and Viet-Thi Tran, MD, PhD

Éditeur(s) :

MAYO CLINIC

Date de publication :21/01/2021

12 pages

EN BREF ...

"To assess the relationship between remote digital monitoring (RDM) modalities for diabetes and intrusiveness in patients’ lives. Online vignette-based survey (February 1 through July 1, 2019). Adults with diabetes (type 1, 2, or subtypes such as latent autoimmune diabetes of adulthood) assessed three randomly selected vignettes among 36 that combined different modalities for monitoring tools (three options: glucose- and physical activity [PA]–monitoring only, or glucose- and PA-monitoring with occasional or regular food monitoring), duration/feedback loops (six options: monitoring for a week before all vs before specific consultations with feedback given in consultation, vs monitoring permanently, with real-time feedback by one's physician vs by anoter caregiver, vs monitoring permanently, with real-time, artificial intelligence-generated treatment feedback vs treatment and lifestyle feedback), and data handling (two options: by the public vs private sector). We compared intrusiveness (assessed on a 5-point scale) across vignettes and used linear mixed models to identify intrusiveness determinants. We collected qualitative data to identify aspects that drove participants’ perception of intrusiveness." En bref issu du rapport.

Rédacteur(s) de la fiche : Beesens Teams


Introductio

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Conclusio

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