Weight Loss in a Digital Diabetes Prevention Program for People in Health Professional Shortage and Rural Areas

Auster‐Gussman, Lisa; Lockwood, Kimberly G.; Branch, OraLee H.

doi:10.1089/pop.2022.0278

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…Participants could complete a weigh-in at any time in the study either by stepping onto their synced cellular scale or manually entering a weight. Outlier detection algorithms ensure the fidelity of all collected weight data (for details, refer to prior Lark publications [22,37]). The weight nadir outcome considered only valid weights and represented each member's weight loss (first weight -lowest weight) / first weight.…”

Section: Secondary Objective Measures: Weight Lossmentioning

confidence: 99%

Evaluating a New Digital App–Based Program for Heart Health: Feasibility and Acceptability Pilot Study

Lockwood,

Kulkarni,

Paruthi

et al. 2024

JMIR Form Res

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Background Cardiovascular disease (CVD) is the leading cause of death in the United States, affecting a significant proportion of adults. Digital health lifestyle change programs have emerged as a promising method of CVD prevention, offering benefits such as on-demand support, lower cost, and increased scalability. Prior research has shown the effectiveness of digital health interventions in reducing negative CVD outcomes. This pilot study focuses on the Lark Heart Health program, a fully digital artificial intelligence (AI)–powered smartphone app, providing synchronous CVD risk counseling, educational content, and personalized coaching. Objective This pilot study evaluated the feasibility and acceptability of a fully digital AI-powered lifestyle change program called Lark Heart Health. Primary analyses assessed (1) participant satisfaction, (2) engagement with the program, and (3) the submission of health screeners. Secondary analyses were conducted to evaluate weight loss outcomes, given that a major focus of the Heart Health program is weight management. Methods This study enrolled 509 participants in the 90-day real-world single-arm pilot study of the Heart Health app. Participants engaged with the app by participating in coaching conversations, logging meals, tracking weight, and completing educational lessons. The study outcomes included participant satisfaction, app engagement, the completion of screeners, and weight loss. Results On average, Heart Health study participants were aged 60.9 (SD 10.3; range 40-75) years, with average BMI indicating class I obesity. Of the 509 participants, 489 (96.1%) stayed enrolled until the end of the study (dropout rate: 3.9%). Study retention, based on providing a weight measurement during month 3, was 80% (407/509; 95% CI 76.2%-83.4%). Participant satisfaction scores indicated high satisfaction with the overall app experience, with an average score of ≥4 out of 5 for all satisfaction indicators. Participants also showed high engagement with the app, with 83.4% (408/489; 95% CI 80.1%-86.7%) of the sample engaging in ≥5 coaching conversations in month 3. The results indicated that participants were successfully able to submit health screeners within the app, with 90% (440/489; 95% CI 87%-92.5%) submitting all 3 screeners measured in the study. Finally, secondary analyses showed that participants lost weight during the program, with analyses showing an average weight nadir of 3.8% (SD 2.9%; 95% CI 3.5%-4.1%). Conclusions The study results indicate that participants in this study were satisfied with their experience using the Heart Health app, highly engaged with the app features, and willing and able to complete health screening surveys in the app. These acceptability and feasibility results provide a key first step in the process of evidence generation for a new AI-powered digital program for heart health. Future work can expand these results to test outcomes with a commercial version of the Heart Health app in a diverse real-world sample.

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Section: Secondary Objective Measures: Weight Lossmentioning

confidence: 99%