Browsing by Author "Steinberg, Dori M"

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    ItemOpen Access
    mHealth interventions for weight loss: a guide for achieving treatment fidelity.
    (Journal of the American Medical Informatics Association : JAMIA, 2014-11) Shaw, Ryan J; Steinberg, Dori M; Zullig, Leah L; Bosworth, Hayden B; Johnson, Constance M; Davis, Linda L

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    mHealth interventions have shown promise for helping people sustain healthy behaviors such as weight loss. However, few have assessed treatment fidelity, that is, the accurate delivery, receipt, and enactment of the intervention. Treatment fidelity is critical because the valid interpretation and translation of intervention studies depend on treatment fidelity assessments. We describe strategies used to assess treatment fidelity in mobile health (mHealth) interventions aimed at sustaining healthy behaviors in weight loss. We reviewed treatment fidelity recommendations for mHealth-based behavioral interventions and described how these recommendations were applied in three recent weight loss studies. We illustrate how treatment fidelity can be supported during study design, training of providers, treatment delivery, receipt of treatment, and enactment of treatment skills. Pre-planned strategies to ensure the treatment fidelity of mHealth interventions will help counter doubts concerning valid conclusions about their effectiveness and allow investigators and clinicians to implement robustly efficacious mobile health programs.

    Trial registration number

    1F31 NR012599.
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    Mobile health devices: will patients actually use them?
    (Journal of the American Medical Informatics Association : JAMIA, 2016-05) Shaw, Ryan J; Steinberg, Dori M; Bonnet, Jonathan; Modarai, Farhad; George, Aaron; Cunningham, Traven; Mason, Markedia; Shahsahebi, Mohammad; Grambow, Steven C; Bennett, Gary G; Bosworth, Hayden B
    Although mobile health (mHealth) devices offer a unique opportunity to capture patient health data remotely, it is unclear whether patients will consistently use multiple devices simultaneously and/or if chronic disease affects adherence. Three healthy and three chronically ill participants were recruited to provide data on 11 health indicators via four devices and a diet app. The healthy participants averaged overall weekly use of 76%, compared to 16% for those with chronic illnesses. Device adherence declined across all participants during the study. Patients with chronic illnesses, with arguably the most to benefit from advanced (or increased) monitoring, may be less likely to adopt and use these devices compared to healthy individuals. Results suggest device fatigue may be a significant problem. Use of mobile technologies may have the potential to transform care delivery across populations and within individuals over time. However, devices may need to be tailored to meet the specific patient needs.
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    ItemOpen Access
    The Balance protocol: a pragmatic weight gain prevention randomized controlled trial for medically vulnerable patients within primary care.
    (BMC public health, 2019-05-17) Berger, Miriam B; Steinberg, Dori M; Askew, Sandy; Gallis, John A; Treadway, Cayla C; Egger, Joseph R; Kay, Melissa C; Batch, Bryan C; Finkelstein, Eric A; DeVries, Abigail; Brewer, Ashley; Bennett, Gary G

    Background

    For patients with obesity who are not ready for or experience barriers to weight loss, clinical practice guidelines recommend provider counseling on preventing further weight gain as a first-line treatment approach. Unfortunately, evidence-based weight gain prevention interventions are not routinely available within primary care. To address this gap, we will implement a pragmatic 12-month randomized controlled trial of a digital weight gain prevention intervention delivered to patients receiving primary care within a network of Federally Qualified Community Health Centers in central North Carolina.

    Methods

    Balance (Equilibrio in Spanish) is a pragmatic effectiveness trial that will randomize adult patients who have overweight or obesity (BMI of 25-40 kg/m2) to either: 1) a weight gain prevention intervention with tailored behavior change goals and tracking, daily weighing on a network-connected electronic scale, and responsive weight and goal coaching delivered remotely by health center registered dietitians; or 2) a usual care program with automated healthy living text messages and print materials and routine primary care. The primary outcome will be weight gain prevention at 24-months, defined as ≤3% change in baseline weight. To align with its pragmatic design, trial outcome data will be pulled from the electronic health record of the community health center network.

    Discussion

    For underserved, often rurally-located patients with obesity, digital approaches to promote a healthy lifestyle can curb further weight gain. Yet enrolling medically vulnerable patients into a weight gain prevention trial, many of whom are from racial/ethnic minorities, can be difficult. Despite these potential challenges, we plan to recruit a large, diverse sample from rural areas, and will implement a remotely-delivered weight gain prevention intervention to medically vulnerable patients. Upcoming trial results will demonstrate the effectiveness of this pragmatic approach to implement and evaluate a digital weight gain prevention intervention within primary care.

    Trials registration

    NCT03003403 . Registered December 28, 2016.