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Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

We report outcomes from Balance, a 2-arm, 12-month pragmatic randomized controlled trial of a digital weight gain prevention intervention delivered to patients receiving primary care within Piedmont Health Services Inc (Piedmont), a network of Federally Qualified Community Health Centers located in central North Carolina. We hypothesized that, compared with usual care, the intervention arm would have a greater proportion of participants with ≤3% weight gain at 24 months after randomization.

Hailey N Miller, John A Gallis, Miriam B Berger, Sandy Askew, Joseph R Egger, Melissa C Kay, Eric Andrew Finkelstein, Mia de Leon, Abigail DeVries, Ashley Brewer, Marni Gwyther Holder, Gary G Bennett

J Med Internet Res 2024;26:e50330

Correction: Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

Correction: Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

In “Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial” (J Med Internet Res 2024;26:e50330) an error was noted: In Figure 3, the titles “Panel A” and “Panel B” were missing at the top of the two graphs.

Hailey N Miller, John A Gallis, Miriam B Berger, Sandy Askew, Joseph R Egger, Melissa C Kay, Eric Andrew Finkelstein, Mia de Leon, Abigail DeVries, Ashley Brewer, Marni Gwyther Holder, Gary G Bennett

J Med Internet Res 2024;26:e60137

Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial

Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial

Moreover, texting has been used in a myriad of ways, making it challenging to extract best practices. For example, some interventions text participants bidirectionally [21] to facilitate self-monitoring, while others text unilaterally to deliver tips and/or feedback. Interventions use a variety of frequencies, sending texts weekly, daily, or even multiple times a day [13].

Gary G Bennett, Dori Steinberg, Jamiyla Bolton, John A Gallis, Cayla Treadway, Sandy Askew, Melissa C Kay, Kathryn I Pollak, Elizabeth L Turner

JMIR Res Protoc 2021;10(1):e19506

The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial

The Association Between Engagement and Weight Loss Through Personal Coaching and Cell Phone Interventions in Young Adults: Randomized Controlled Trial

Although not much is known about the relationship between engagement in m Health interventions and weight outcome, previous studies have shown that a higher engagement is associated with a more favorable study outcome [5,6]. Engagement is a complex concept, and its conceptualization and measurement can vary from study to study. Engagement is sometimes used interchangeably with adherence.

Pao-Hwa Lin, Steven Grambow, Stephen Intille, John A Gallis, Tony Lazenka, Hayden Bosworth, Corrine L. Voils, Gary G Bennett, Bryan Batch, Jenifer Allen, Leonor Corsino, Crystal Tyson, Laura Svetkey

JMIR Mhealth Uhealth 2018;6(10):e10471

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