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Mining Health App Data to Find More and Less Successful Weight Loss Subgroups

In the app, a user creates an account and a weight loss plan based on one’s height, weight, exercise level, target weight goal, and desired weekly weight loss.

Katrina J. Serrano, Mandi Yu, Kisha I. Coa, Linda M. Collins, Audie A. Atienza

J Med Internet Res 2016;18(6):e154

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Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey

Felix Machleid, Robert Kaczmarczyk, Doreen Johann, Justinas Balčiūnas, Beatriz Atienza-Carbonell, Finn von Maltzahn, Lina Mosch

J Med Internet Res 2020;22(8):e19827

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Effectiveness of Mobile Health Interventions on Diabetes and Obesity Treatment and Management: Systematic Review of Systematic Reviews

Youfa Wang, Jungwon Min, Jacob Khuri, Hong Xue, Bo Xie, Leonard A Kaminsky, Lawrence J Cheskin

JMIR Mhealth Uhealth 2020;8(4):e15400

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Electronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis

Lindsay A Jibb, James S Khan, Puneet Seth, Chitra Lalloo, Lauren Mulrooney, Kathryn Nicholson, Dominik A Nowak, Harneel Kaur, Alyssandra Chee-A-Tow, Joel Foster, Jennifer N Stinson

J Med Internet Res 2020;22(6):e16480

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Depression, Anxiety, and Lifestyle Among Essential Workers: A Web Survey From Brazil and Spain During the COVID-19 Pandemic

Raquel Brandini De Boni, Vicent Balanzá-Martínez, Jurema Correa Mota, Taiane De Azevedo Cardoso, Pedro Ballester, Beatriz Atienza-Carbonell, Francisco I Bastos, Flavio Kapczinski

J Med Internet Res 2020;22(10):e22835

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Evaluation of the Educational Value of YouTube Videos About Physical Examination of the Cardiovascular and Respiratory Systems

The page number on which a video was placed was recorded.

Samy A Azer, Hala A AlGrain, Rana A AlKhelaif, Sarah M AlEshaiwi

J Med Internet Res 2013;15(11):e241

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Claiming Positive Results From Negative Trials: A Cause for Concern in Randomized Controlled Trial Research

were “active” - that both interventions were effective in facilitating or causing a change among participants. 

John A Cunningham

J Med Internet Res 2013;15(8):e179

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The Systematic Removal of Participants Post-Randomization Can Lead to Alternate Explanations of the Results

This can introduce a potential confound or alternative explanation of the results. The recently published study by Rooke et al [1] removed participants from the analysis who reported other treatment use during the study (n=5).

John A Cunningham

J Med Internet Res 2013;15(6):e128

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Evaluation of Multi Drug Resistant Tuberculosis Surveillance System, Yemen

Jihan Abdolmughni, Y Abdulwareth, A Al Hamady, E Mahyoub, A Alagbari, A Al-Serouri

iproc 2018;4(1):e10538

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Evaluation of Automated Online Quality Checker Implementation for the Brucellosis Surveillance system, Egypt 2016

Ibrahim ELdeyahy, A Kandeel, A Eid, H Abu Elsood, A El Sabbah

iproc 2018;4(1):e10550

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