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1.
Stud Health Technol Inform ; 264: 1637-1638, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438268

ABSTRACT

Self-reported anthropometric data in web-based weight loss interventions may be inaccurate. We studied the agreement between online self-reported and measured weight in the course of the POEmaS randomized controlled trial. Measured weight was not different from reported one (-0.4 kg; 95%CI -0.93 to 0.12). 95.6% of the cases were within the limits of agreement (Bland-Altman method). Self-reported weight collected online was accurate, which suggests that interventions and outcomes assessment can rely on these data.


Subject(s)
Body Height , Weight Loss , Body Weight , Humans , Internet , Randomized Controlled Trials as Topic , Self Report
2.
Stud Health Technol Inform ; 264: 1901-1902, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438398

ABSTRACT

Adherence determines the impact of digital health interventions. Standard tools provide a measure for user experience and predict adherence. We evaluated the User Engagement Scale Short Form (UES-SF) during the POEmaS project, a randomized clinical trial of an online weight loss platform. We received answers from 178 participants (13.7% of the cohort) and correlated the UES-SF scores with the number of sessions attended. Our findings suggest the UES-SF is an accurate evaluation of user experience, but only one domain (reward) was associated with long-term use.


Subject(s)
Weight Loss , Humans , Randomized Controlled Trials as Topic
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