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Impact of the Method of Delivering Electronic Health Behavior Change Interventions in Survivors of Cancer on Engagement, Health Behaviors, and Health Outcomes: Systematic Review and Meta-Analysis

The total sample size was 4583, ranging from n=18 to n=641.

Kate Furness, Mitchell N Sarkies, Catherine E Huggins, Daniel Croagh, Terry P Haines

J Med Internet Res 2020;22(6):e16112

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Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions

Gregory M Dominick, Kyle N Winfree, Ryan T Pohlig, Mia A Papas

JMIR Mhealth Uhealth 2016;4(3):e110

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Authors’ Reply to: Critique of “Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions” – Does Location of the Device Matter?

Gregory M. Dominick, Kyle N. Winfree, Ryan T. Pohlig, Mia A. Papas

JMIR Mhealth Uhealth 2017;5(2):e13

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Psychiatric Consultation at Your Fingertips: Descriptive Analysis of Electronic Consultation From Primary Care to Psychiatry

Margaret Lowenstein, Olusinmi Bamgbose, Nathaniel Gleason, Mitchell D Feldman

J Med Internet Res 2017;19(8):e279

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How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples

Jason Mitchell, Ji-Young Lee, Rob Stephenson

JMIR Public Health Surveill 2016;2(2):e152

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Metadata Correction of: How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples

The academic affiliation of author Jason Mitchell was incorrect in the paper entitled “How Best to Obtain Valid, Verifiable Data Online From Male Couples?

Jason Mitchell, Ji-Young Lee, Rob Stephenson

JMIR Public Health Surveill 2016;2(2):e155

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The Touro 12-Step: A Systematic Guide to Optimizing Survey Research with Online Discussion Boards

Eric J Ip, Mitchell J Barnett, Michael J Tenerowicz, Paul J Perry

J Med Internet Res 2010;12(2):e16

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On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement

Notably, Stock et al conducted a unique evaluation of a large-scale incentive program in Germany (N=70,429) and found that modest incentives motivated participation in disease prevention programs, saving the German Statutory Health Insurance about € 100 per

Marc Steven Mitchell, Guy E Faulkner

J Med Internet Res 2014;16(7):e179

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Recommendations From a Descriptive Evaluation to Improve Screening Procedures for Web-Based Studies With Couples: Cross-Sectional Study

Jason W Mitchell, Tanaka M D Chavanduka, Stephen Sullivan, Rob Stephenson

JMIR Public Health Surveill 2020;6(2):e15079

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Willingness to Use Mobile Phone Apps for HIV Prevention Among Men Who Have Sex with Men in London: Web-Based Survey

William C Goedel, Jason W Mitchell, Paul Krebs, Dustin T Duncan

JMIR Mhealth Uhealth 2017;5(10):e153

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