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Metadata Correction: Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials

Metadata Correction: Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials

The authors of the paper entitled “Impact of Educational Level on Study Attrition and Evaluation of Web-Based Computer-Tailored Interventions: Results From Seven Randomized Controlled Trials” [J Med Internet Res 2015;17(10):e228] inadvertently omitted Eline Suzanne

Dominique Reinwand, Rik Crutzen, Iman Elfeddali, Francine Schneider, Daniela Nadine Schulz, Eline Susanne Smit, Nicola Esther Stanczyk, Huibert Tange, Viola Voncken-Brewster, Michel Jean Louis Walthouwer, Ciska Hoving, Hein de Vries

J Med Internet Res 2015;17(11):e252

Correction: Non-Hispanic White Mothers’ Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel

Correction: Non-Hispanic White Mothers’ Willingness to Share Personal Health Data With Researchers: Survey Results From an Opt-in Panel

Authors were listed as follows on the published manuscript:Adam Bouras1,2, MSHI, MHA, MSc; Eduardo Simoes1,2, MD, MPH; Suzanne Boren1,2, PhD; Lanis Hicks1,2, PhD; Iris Zachary1, PhD; Satvinder Dhingra3, MPH; Richard Ellis3, BScThis was incomplete, and has been

Adam Bouras, Eduardo J Simoes, Suzanne Boren, Lanis Hicks, Iris Zachary, Christoph Buck, Satvinder Dhingra, Richard Ellis

J Participat Med 2020;12(4):e24183

Lessons Learned From Implementing an App-Based Resilience Training Program in a Naval Operational Setting

Lessons Learned From Implementing an App-Based Resilience Training Program in a Naval Operational Setting

7490HurtadoSuzanneMPH1KohenCaseyMA12HunterMichaelPhD12SanchezSandraMA121Naval Health Research CenterSan Diego, CAUnited States2LeidosSan Diego, CAUnited StatesCorresponding Author: Cynthia Simon-Arndt cynthia.m.simon-arndt.ctr@mail.milJul-Dec2019210201951e1493519620191482019©Cynthia Simon-Arndt, Suzanne

Cynthia Simon-Arndt, Suzanne Hurtado, Casey Kohen, Michael Hunter, Sandra Sanchez

iproc 2019;5(1):e14935

Acceptability and Short-Term Outcomes Associated With Use of a Prescription Drug Abuse Education Mobile App in a Military Sample

Acceptability and Short-Term Outcomes Associated With Use of a Prescription Drug Abuse Education Mobile App in a Military Sample

mail.milSimon-ArndtCynthiaMPH12https://orcid.org/0000-0002-0986-7490Dell'AcquaReneeMPH12https://orcid.org/0000-0002-3176-04621Naval Health Research CenterHealth and Behavioral SciencesSan Diego, CAUnited States2LeidosSan Diego, CAUnited StatesCorresponding Author: Suzanne

Suzanne Hurtado, Cynthia Simon-Arndt, Renee Dell'Acqua

iproc 2019;5(1):e15005

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey

Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey

Bailey et al [9] found widespread age and health literacy-related disparities in technology access, with older and less literate individuals being less likely to own smartphones and use the Internet, especially for health reasons.

Clemens Ernsting, Stephan U Dombrowski, Monika Oedekoven, Julie L O´Sullivan, Melanie Kanzler, Adelheid Kuhlmey, Paul Gellert

J Med Internet Res 2017;19(4):e101

Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews

Mobile Phone Apps Targeting Medication Adherence: Quality Assessment and Content Analysis of User Reviews

In 2014, Bailey et al extracted information on functions of 424 apps from app descriptions [3]. In 2016, Heldenbrand et al and Santo et al identified 347 and 272 apps, respectively, and categorized them based on author-identified features [6,7].

Jamie Yea Eun Park, Jenny Li, Alyssa Howren, Nicole Wen Tsao, Mary De Vera

JMIR Mhealth Uhealth 2019;7(1):e11919