High-Volume Patient–Caregiver Interactions in a Fully Digital Obesity Care Model
This real-world analysis quantifies patient–caregiver interactions in a fully digital obesity care model with unlimited follow-up.
Summary
Across 156 weeks, 7.7 million messages were exchanged between 50.414 patients and a multidisciplinary team (mean 5.5 per patient/week), and 2.3 million weight entries were logged, highlighting how a fully digital care pathway enables continuous patient engagement and sustained self-monitoring over time.
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High-Volume Patient–Caregiver Interactions in a Fully Digital Obesity Care Model
Felix Wittströma, David Buchebnera, Elin Skoglunda, Oleg Ivanytskyia, Oliver Willacya, Kristofer Ringnera, Anna Sommerfelda, Martin Carlssona,b
a. Yazen Health AB, Malmö, Sweden
b. Department of Medicine and Optometry, eHealth Institute, Linnaeus University, Kalmar, Sweden
INTRODUCTION
In conventional healthcare settings, a substantial proportion of patients discontinue GLP-1 or GLP-1/GIP agonist therapy within the first year of treatment. Contributing factors may include limited access to caregivers, restricted appointment availability, and insufficient support for side-effect management. Digital obesity care models have the potential to overcome these limitations by enabling continuous patient engagement and on-demand support. We evaluated the scale of patient–caregiver interactions within a fully digital obesity care program offering unlimited follow-up.
METHOD
We quantified all messages exchanged between patients and multidisciplinary caregivers (physicians, health coaches, dietitians, psychologists, and physiotherapists) via Yazen’s digital platform. Data were collected weekly from 1st of January 2023, to 31st of December 2025 (3 full years, 156 weeks). Additionally, we assessed the frequency of patient-reported weight entries over the observation period.
RESULT
Across 156 weeks of operation, 7 680 101 messages were exchanged between 50.414 patients and their respective caregivers, corresponding to a mean of 5.5 messages per patient per week (SD 1.1). Patients recorded their weight a mean of 50 times per person-year on treatment (median 44), with substantial variability (p10–p90: 11–78).
CONCLUSION
A fully digital obesity care model enables exceptionally high levels of patient–caregiver communication, far exceeding what is feasible in traditional in-person care. When continuous access to professional support is available, patients engage frequently and proactively, highlighting the advantages of digital platforms for long-term obesity management and GLP-1–based therapy support.
Conflict of Interest: Martin Carlsson is a co-founder and employee of Yazen Health. All other authors are employees of Yazen Health.
Funding: There were no external funding sources for the current study.
February 2, 2026
February 5, 2026
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