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A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial

A Multi-Level, Mobile-Enabled Intervention to Promote Physical Activity in Older Adults in the Primary Care Setting (iCanFit 2.0): Protocol for a Cluster Randomized Controlled Trial

Then the total sample size is n=2 x n1. In this ideal scenario, the total sample size n=398 is required to detect the effect size d=0.25 between the two population means. Second, because the randomization occurs at the clinic level, we need to consider the clustering effect. Previous similar research suggests a small clustering effect due to multiple patients per physician, but virtually no clustering effect between patients with different physicians in the same clinic [45].

Y Alicia Hong, Samuel N Forjuoh, Marcia G Ory, Michael D Reis, Huiyan Sang

JMIR Res Protoc 2017;6(9):e183

Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study

Efficacy of a Mobile-Enabled Web App (iCanFit) in Promoting Physical Activity Among Older Cancer Survivors: A Pilot Study

Descriptive statistics were used for data analysis; paired t test was used to compare pre-post changes and assess level of significance at the P Of the total eligible participants who created an online account and completed the baseline survey (N=30), 87% (26/30) completed the follow-up survey. These 26 participants were the sample to test the efficacy of i Can Fit. As shown in Multimedia Appendix 1, the median age of the 26 participants in the baseline sample was 69 years (range 60-78).

Yan Alicia Hong, Daniel Goldberg, Marcia G Ory, Samuel D Towne Jr, Samuel N Forjuoh, Debra Kellstedt, Suojin Wang

JMIR Cancer 2015;1(1):e7

Using the iPod Touch for Patient Health Behavior Assessment and Health Promotion in Primary Care

Using the iPod Touch for Patient Health Behavior Assessment and Health Promotion in Primary Care

Demographics and general health information of participants (n=109). Health status and health behavior assessment of participants (n=109). a Activities of daily living Of the 83 participants who successfully completed the follow-up phone survey, 30% (25/83) reported that their physicians discussed the HBA report with them, while 29% (24/83) established behavior goals related to the HBA report with them. Table 4 depicts participants’ feedback on using the i Pod touch for HBA.

Samuel N Forjuoh, Marcia G Ory, Suojin Wang, Jude KA des Bordes, Yan Hong

JMIR Mhealth Uhealth 2014;2(1):e14

Primary Care Providers’ Perspectives on Online Weight-Loss Programs: A Big Wish List

Primary Care Providers’ Perspectives on Online Weight-Loss Programs: A Big Wish List

Characteristics of focus group participants (N = 44) Unfamiliar with online weight-loss programs Uncertain about safety and efficacy of online weight-loss programs Online weight-loss program appropriate only for motivated, technically savvy patients Characteristics and features on an ideal online weight-loss program Free Structured curriculum Goal-setting assistance Self-monitoring tools Psychologically oriented content Peer support Reports for primary care providers Primary care providers generally reported

Kevin O O Hwang, Heather L Stuckey, Monica C Chen, Jennifer L Kraschnewski, Samuel N Forjuoh, Jennifer M Poger, Kathleen M McTigue, Christopher N Sciamanna

J Med Internet Res 2012;14(1):e16