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Digital Health|November 3, 2022
A topic trend analysis on COVID-19 literatureSara Urru, Veronica Sciannameo, Corrado Lanera, et al.Digital Health|October 14, 2022
Global trends and hotspots in research on extended reality in sports: A bibliometric analysis from 2000 to 2021Jie Zhao, Jie Mao, Jing TanDigital Health|October 14, 2022
The role of phone-based triage nurses in supporting older adults with multimorbidity to digitally self-manage - Findings from the ProACT proof-of-concept studyJulie Doyle, Patricia McAleer, Cora van Leeuwen, et al.Digital Health|September 29, 2022
Home-based digital health technologies for older adults to self-manage multiple chronic conditions: A data-informed analysis of user engagement from a longitudinal trialYiyang Sheng, Julie Doyle, Raymond Bond, et al.Digital Health|September 9, 2022
The relationship between the orthopedic job market and sports medicine fellowship applications between 2010 and 2017Marcus A Hoof, Symone M Brown, Cadence B Miskimin, et al.Digital Health|September 9, 2022
The feasibility of an online educational lifestyle program for people with multiple sclerosis: A qualitative analysis of participant semi-structured interviewsWilliam Bevens, J Reece, P L Jelinek, et al.Digital Health|October 24, 2022
The role of mobile health technologies in promoting COVID-19 prevention: A narrative review of intervention effectiveness and adoptionJane Katusiime, Wilson Tumuhimbise, Godfrey Rwambuka Mugyenyi, et al.Digital Health|October 24, 2022
Exploring the sociocultural contexts in which healthcare staff respond to and use online patient feedback in practice: In-depth case studies of three NHS TrustsLauren Ramsey, Rebecca Lawton, Laura Sheard, et al.Digital Health|October 24, 2022
Study protocol of EMPOWER: A cluster randomized trial of a multimodal eHealth intervention for promoting mental health in the workplace following a stepped wedge trial designBeatriz Olaya, Christina M Van der Feltz-Cornelis, Leona Hakkaart-van Roijen, et al.Digital Health|November 29, 2023
LIME-based ensemble machine for predicting performance status of patients with liver cancerHung Viet Nguyen, Haewon ByeonPageof 365