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The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study

The Virtual Inclusive Digital Health Intervention Design to Promote Health Equity (iDesign) Framework for Atrial Fibrillation: Co-design and Development Study

This also allowed us to increase access and engage eligible patients with a limited ability to attend in-person visits due to barriers such as work, household circumstances, and transportation [33]. Inclusion criteria were a diagnosis of AF, ownership of a smartphone (i Phone 5 or newer), residency in the United States, and proficiency in English. Clinicians were recruited using flyers and emails with information regarding the study.

Nino Isakadze, Nancy Molello, Zane MacFarlane, Yumin Gao, Erin M Spaulding, Yvonne Commodore Mensah, Francoise A Marvel, Shireen Khoury, Joseph E Marine, Erin D Michos, David Spragg, Ronald D Berger, Hugh Calkins, Lisa A Cooper, Seth S Martin

JMIR Hum Factors 2022;9(4):e38048

Correction: Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Correction: Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

In “Strategies for the Successful Implementation of a Novel i Phone Loaner System (i Share) in m Health Interventions: Prospective Study” (JMIR Mhealth Uhealth 2019;7(12):e16391) the authors noted two errors. In the Results section of the originally published paper, the first paragraph of the subsection “Evaluation of Process Outcomes” included incorrect numerators and denominators in the statistical values introduced during the copyediting process.

William E Yang, Erin M Spaulding, David Lumelsky, George Hung, Pauline Phuong Huynh, Kellen Knowles, Francoise A Marvel, Valerie Vilarino, Jane Wang, Lochan M Shah, Helen Xun, Rongzi Shan, Shannon Wongvibulsin, Seth S Martin

JMIR Mhealth Uhealth 2021;9(9):e31472

Digital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review

Digital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review

A total of 22 studies (22/31, 71%) were randomized controlled trials. Of the 31 studies, 15 (15/31, 48%) were standalone digital CR interventions. The study quality was variable, with 23 studies (23/31, 74%) having a good quality, 7 (7/31, 23%) having a fair quality, and 1 (1/31, 3%) having a poor quality, according to the criteria established by the NIH: NHLBI Quality Assessment Tools (Multimedia Appendix 5).

Shannon Wongvibulsin, Evagelia E Habeos, Pauline P Huynh, Helen Xun, Rongzi Shan, Kori A Porosnicu Rodriguez, Jane Wang, Yousuf K Gandapur, Ngozi Osuji, Lochan M Shah, Erin M Spaulding, George Hung, Kellen Knowles, William E Yang, Francoise A Marvel, Eleanor Levin, David J Maron, Neil F Gordon, Seth S Martin

J Med Internet Res 2021;23(2):e18773

Heart Rate Measurements in Patients with Obstructive Sleep Apnea and Atrial Fibrillation: Prospective Pilot Study Assessing Apple Watch’s Agreement With Telemetry Data

Heart Rate Measurements in Patients with Obstructive Sleep Apnea and Atrial Fibrillation: Prospective Pilot Study Assessing Apple Watch’s Agreement With Telemetry Data

AF was confirmed by a 12-lead ECG performed minutes prior to HR data collection. Participants wore a first-generation Apple Watch (model A1554), which was provided by the study team for the duration of data collection. The same device was used for all participants and was cleaned between use with a hospital-grade disinfectant.

Pauline Huynh, Rongzi Shan, Ngozi Osuji, Jie Ding, Nino Isakadze, Francoise A Marvel, Garima Sharma, Seth S Martin

JMIR Cardio 2021;5(1):e18050

User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

In the Results section, we characterize a statistically significant association found in the desired direction between user engagement and the outcome of interest (ie, a positive association between user engagement and PA or a negative association between user engagement and weight) as a positive finding. We also label a nonstatistically significant association in the expected direction, no association, or an association in the opposite direction than expected as a negative finding.

Erin M Spaulding, Francoise A Marvel, Rebecca J Piasecki, Seth S Martin, Jerilyn K Allen

JMIR Cardio 2021;5(1):e18834

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study

Without experience or guidance regarding the best approach to operationalize a smartphone loaner program for a clinical research study, we developed the program iteratively. With each iteration came an increased financial investment, often resulting in a greater-than-anticipated improvement in our processes. Table 1 provides a summary of our protocol’s evolution.

William E Yang, Erin M Spaulding, David Lumelsky, George Hung, Pauline Phuong Huynh, Kellen Knowles, Francoise A Marvel, Valerie Vilarino, Jane Wang, Lochan M Shah, Helen Xun, Rongzi Shan, Shannon Wongvibulsin, Seth S Martin

JMIR Mhealth Uhealth 2019;7(12):e16391

Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation

Technical Guidance for Clinicians Interested in Partnering With Engineers in Mobile Health Development and Evaluation

For example, Blue Star by Well Doc, a Food and Drug Administration (FDA) cleared m Health intervention for patients with type 2 diabetes, demonstrated a significantly lower mean decrease in hemoglobin A1c over 1 year compared with the usual care group [3]. Similarly, a 2016 systematic review and meta-analysis found that across 27 studies, the m Health group compared with the usual care group had increased adherence to medical therapy and ability to reach blood pressure and exercise goals [1].

Lochan M Shah, William E Yang, Ryan C Demo, Matthias A Lee, Daniel Weng, Rongzi Shan, Shannon Wongvibulsin, Erin M Spaulding, Francoise A Marvel, Seth S Martin

JMIR Mhealth Uhealth 2019;7(5):e14124