The goal of this clinical trial is to learn if a smart ring that tracks health signals can help adults lose weight and improve their health during obesity treatment. The study includes adults who are having weight-loss surgery or starting weight-loss medication. The Oura Ring tracks signals like sleep, heart rate, and activity. In this study, the care team can see this information and use it to guide each person's care. The main questions it aims to answer are: Do people lose more weight when their care team uses the ring's information? Does using the ring's information improve health measures like blood sugar and blood pressure? The study has two parts. In the first part, everyone wears the ring while the study team makes sure the ring's information can be collected and used. In the second part, the study places participants into one of two groups by chance, like flipping a coin. One group's care team uses the ring's information. The other group's care team does not. Researchers will compare the two groups to see if the ring's information helps. Participants will: Wear the Oura Ring during the study Go to their regular clinic visits Answer survey questions about their health and quality of life
This study addresses a specific gap in the evidence for consumer wearable devices in obesity care. Prior trials that supplied wearable devices without integrating the resulting data into clinical decision-making have generally not improved weight outcomes. This trial is therefore designed to test not the device in isolation, but whether care teams acting on continuous biometric data achieve better outcomes than standard care. The trial uses a two-phase adaptive design at a single academic medical center. Two treatment cohorts are enrolled in parallel throughout: adults undergoing metabolic and bariatric surgery, and adults initiating GLP-1 receptor agonist therapy. All participants are followed for 52 weeks. Phase 1 is a single-arm observational feasibility phase. Every participant receives an Oura Ring, and the existing clinical team (dietitians, nurse practitioners, physicians, and coordinators) can view the biometric data through a dashboard during routine care. No dedicated coach and no additional study visits are added. Phase 1 validates the end-to-end data pipeline, characterizes device wear adherence and data completeness, and estimates the variability of candidate outcomes to inform Phase 2 sizing. As a pre-specified exploratory analysis, observed Phase 1 outcomes are compared against historical electronic health record-based controls within each treatment cohort; this comparison is descriptive and hypothesis-generating rather than a formal test of efficacy. Phase 1 data will be reviewed for feasibility, safety, and outcomes, including the exploratory comparison against historical controls, before Phase 2 is activated. Phase 2 proceeds only if Phase 1 demonstrates adequate feasibility and a directional signal that biometric-informed care may improve outcomes; absent any such signal relative to historical controls, Phase 2 will not be activated. Phase 1 results are analyzed and reported regardless of whether Phase 2 proceeds. Phase 2 is a randomized controlled trial with 1:1 parallel allocation. Phase 2 will also have a health coach-in-both-arms design: every Phase 2 participant receives a study-funded health coach. In the intervention arm, the care team can view the participant's Oura dashboard and incorporates the biometric data into management and coaching. In the control arm, the coach delivers a standardized behavioral curriculum without access to any wearable data. Because both arms receive equivalent coach contact, the design isolates the specific contribution of the biometric information rather than the added attention of a coach, removing attention bias as an explanation for any observed difference. The study is open label, as participants and coaches are necessarily aware of arm assignment. The primary outcome is drawn objectively from electronic health record data, which limits the influence of unmasked assessment. Sample size follows an adaptive approach. The maximum enrollment reflects an adaptive upper bound, and Phase 1 estimates allow re-estimation of the Phase 2 sample size at the interim review. The primary analysis follows a modified intention-to-treat approach, applying a pre-specified biometric data-quality threshold symmetrically across both arms. Between-arm comparison of the primary continuous outcome uses analysis of covariance adjusting for the baseline value. The wearable data are generated by a commercially available consumer device used consistent with its general wellness purpose; no investigational device exemption applies. The sponsor supplies devices and device-use guidance and reviews manuscripts within a pre-specified window, but holds no authority over data analysis, interpretation, or the decision to publish. The principal investigator retains scientific and publication independence.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
260
Participants wear a consumer-grade wearable ring continuously and receive standardized health coaching from a study-funded coach. The coach and the multidisciplinary clinical team managing the participant's obesity treatment, including the surgical team for participants undergoing bariatric surgery and/or the obesity medicine physicians managing pharmacotherapy, along with dietitians, nurse practitioners, and nursing coordinators, can view the participant's continuously collected biometric data (sleep, heart rate, and activity) through a dashboard and incorporate it into care decisions. This intervention differs from the comparator only in the care team's and coach's access to and use of the wearable biometric data. Coach contact frequency is standardized across arms.
Participants receive standard obesity treatment. The multidisciplinary clinical team managing the participant's obesity treatment, including the surgical team for participants undergoing bariatric surgery and/or the obesity medicine physicians managing pharmacotherapy, along with dietitians, nurse practitioners, nursing coordinators, and health coaches who manage care as usual without access to wearable biometric data. Coach and treatment team contact frequency matches the intervention arm, so the two arms differ only in the patient and the care team's access to and use of wearable biometric data.
UTC Digestive Diseases, University of California, San Diego Health
San Diego, California, United States
Percent Total Body Weight Loss (%TBWL)
%TBWL = \[(baseline weight - weight at 52 weeks) / baseline weight\] × 100. Weight in kg abstracted from the EHR
Time frame: 52 weeks
HbA1c
Change from baseline in glycated hemoglobin (HbA1c), abstracted from routine care EHR data
Time frame: 52 weeks
Blood Pressure
Change from baseline in systolic and diastolic blood pressure.
Time frame: 52 weeks
Lipid Profile
Change from baseline in LDL, HDL, and triglycerides.
Time frame: 52 weeks
Health-Related Quality of Life (PROMIS-29 v2.1)
Change from baseline in PROMIS-29 v2.1 domain T-scores
Time frame: 52 weeks
Treatment Persistence (GLP-1 stratum)
Proportion of GLP-1 cohort participants remaining on index therapy.
Time frame: 52 weeks
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