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Impact of Patient-Clinical Team Secure Messaging on Communication Patterns and Patient Experience: Randomized Encouragement Design Trial

Impact of Patient-Clinical Team Secure Messaging on Communication Patterns and Patient Experience: Randomized Encouragement Design Trial

By the end of 9 months, 17.0% (101/595) of the veterans in the SAP had sent an SM compared to 6.7% (40/600) of the controls (P Each component of the SAP (mailings, proactive SM, motivational interviews) was examined separately to explore the contribution of each on the overall rate of adoption (Figure 3). Of the 595 veterans in the encouragement arm who were sent the initial mailing, 17 (2.9%) sent an SM without any additional encouragement.

Stephanie L Leah Shimada, Mark S Zocchi, Timothy P Hogan, Stefan G Kertesz, Armando J Rotondi, Jorie M Butler, Sara J Knight, Kathryn DeLaughter, Felicia Kleinberg, Jeff Nicklas, Kim M Nazi, Thomas K Houston

J Med Internet Res 2020;22(11):e22307

Virtual Coach–Guided Online Acceptance and Commitment Therapy for Chronic Pain: Pilot Feasibility Randomized Controlled Trial

Virtual Coach–Guided Online Acceptance and Commitment Therapy for Chronic Pain: Pilot Feasibility Randomized Controlled Trial

However, in the VACT-CP group only, there was a statistically significant difference for participants on their chronic pain acceptance total scores (z score=–3.48; P Changes in secondary outcomes from baseline to postintervention (week 7 assessment) by treatment group. a VACT-CP: Veteran Acceptance and Commitment Therapy for Chronic Pain. b WL+TAU: waitlist plus treatment as usual. c POQ-VA pain severity: Pain Outcomes Questionnaire—Short form—Pain Severity Score. d POQ-VA pain functioning: Pain Outcomes Questionnaire—Short

Erin D Reilly, Megan M Kelly, Hannah L Grigorian, Molly E Waring, Karen S Quigley, Timothy P Hogan, Alicia A Heapy, Charles E Drebing, Matias Volonte, Ummul-Kiram Kathawalla, Hannah E Robins, Katarina Bernice, Timothy Bickmore

JMIR Form Res 2024;8:e56437

Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey

Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey

We selected variables for inclusion in the unadjusted model based on significant bivariate associations with the outcome variables and known associations from the existing literature; we selected variables for inclusion in the adjusted model based on significant unadjusted associations at the P This work was reviewed by the institutional review boards of the VHA Bedford Healthcare System in Bedford, Massachusetts, and the Edward Hines Jr VHA Hospital in Hines, Illinois.

Timothy P Hogan, Bella Etingen, Jessica M Lipschitz, Stephanie L Shimada, Nicholas McMahon, Derek Bolivar, Felicia R Bixler, Dawn Irvin, Rachel Wacks, Sarah Cutrona, Kathleen L Frisbee, Bridget M Smith

JMIR Mhealth Uhealth 2022;10(12):e41767

Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation

Understanding Adoption and Preliminary Effectiveness of a Mobile App for Chronic Pain Management Among US Military Veterans: Pre-Post Mixed Methods Evaluation

However, veterans who reported using the Pain Coach app were younger, on average, than those who reported not having used the app (57.6 years vs 64.2 years; P=.01). Our follow-up semistructured interviews to the survey provided an opportunity to explore in more depth the motivations underlying app use.

Timothy P Hogan, Bella Etingen, Nicholas McMahon, Felicia R Bixler, Linda Am, Rachel E Wacks, Stephanie L Shimada, Erin D Reilly, Kathleen L Frisbee, Bridget M Smith

JMIR Form Res 2022;6(1):e33716

Older Veteran Digital Disparities: Examining the Potential for Solutions Within Social Networks

Older Veteran Digital Disparities: Examining the Potential for Solutions Within Social Networks

Veterans reporting no Internet access were also more likely to report being very uncomfortable using the Internet (χ24=82.3, P Technology use of Veterans compared by Internet access. a Devices used in past month and sends text messages: n=115. We examined respondents’ reported ability for Internet access through social ties (see Figure 1). Older Veterans reported a median of 8 (IQR 9) social ties with home Internet access when asked to consider the people that they had spoken to in the past 4 weeks.

Tana M Luger, Timothy P Hogan, Lorilei M Richardson, Lisa Cioffari-Bailiff, Kimberly Harvey, Thomas K Houston

J Med Internet Res 2016;18(11):e296

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