Search Articles

View query in Help articles search

Search Results (1 to 5 of 5 Results)

Download search results: CSV END BibTex RIS


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

Among our sample, 53% (n=235) of participants had at least 1 visit with weight measured within the primary time window (21 to 27 months; see Figure 1). Participants with visits with weights measured dropped off dramatically during the COVID-19 pandemic (281/443, 63% in April-September 2019 vs 94/443, 21% in April-September 2020; 214/443, 48% in October 2019-February 2020 vs 50/443, 11% in October 2020-February 2021; see Table S1 in Multimedia Appendix 1).

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

Designing Ruby: Protocol for a 2-Arm, Brief, Digital Randomized Controlled Trial for Internalized Weight Bias

Designing Ruby: Protocol for a 2-Arm, Brief, Digital Randomized Controlled Trial for Internalized Weight Bias

Ruby is a 2-arm, 4-week randomized controlled trial (N=80) testing the efficacy of a digital mindfulness-based self-compassion intervention for internalized weight bias compared with a wait-list control. The primary outcome is a 4-week change in self-reported weight bias internalization, as measured by the Weight Bias Internalization Scale [5]. Secondary outcomes include 4-week changes in self-compassion, body appreciation, cognitive flexibility related to weight, and other related constructs.

Christina M Hopkins, Hailey N Miller, Taylor L Brooks, Lihua Mo-Hunter, Dori M Steinberg, Gary G Bennett

JMIR Res Protoc 2021;10(11):e31307

Using Patient Portals to Improve Patient Outcomes: Systematic Review

Using Patient Portals to Improve Patient Outcomes: Systematic Review

For example, a recent analysis [6] using a large registry of hospitalized patients with heart failure (N=21,222) failed to substantiate any association between EHR use and a set of outcomes including quality of care and 30‐day postdischarge death or readmission.

Hae-Ra Han, Kelly T Gleason, Chun-An Sun, Hailey N Miller, Soo Jin Kang, Sotera Chow, Rachel Anderson, Paul Nagy, Tom Bauer

JMIR Hum Factors 2019;6(4):e15038