Search Articles

View query in Help articles search

Search Results (1 to 4 of 4 Results)

Download search results: CSV END BibTex RIS


Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

That is when an eligible moment of NA or smoking was detected from sensor data, that moment was randomized to either deliver a mindfulness or motivational strategy or not. Motivational messages were included due to high desirability in previous m Health cessation studies [34-36]. An EMA was pushed immediately after the participant completed the strategy or 5 minutes after the strategy was pushed, whichever came first.

Christine Vinci, Steve K Sutton, Min-Jeong Yang, Sarah R Jones, Santosh Kumar, David W Wetter

JMIR Mhealth Uhealth 2025;13:e55379

Effect of a Smartphone App (S-Check) on Actual and Intended Help-Seeking and Motivation to Change Methamphetamine Use Among Adult Consumers of Methamphetamine in Australia: Randomized Waitlist-Controlled Trial

Effect of a Smartphone App (S-Check) on Actual and Intended Help-Seeking and Motivation to Change Methamphetamine Use Among Adult Consumers of Methamphetamine in Australia: Randomized Waitlist-Controlled Trial

Future directions include exploring the incorporation of the S-Check app as part of a stepped-care approach to clinical treatment, within a range of clinical settings, or as a motivational and self-awareness tool to be provided to people waiting for care. Primary care and sexual health service use is high among people who use methamphetamine, but opportunities to intervene are often missed.

Krista J Siefried, Florence Bascombe, Brendan Clifford, Zhixin Liu, Peter Middleton, Frances Kay-Lambkin, Jack Freestone, Daniel Herman, Michael Millard, Maureen Steele, Liam Acheson, Carl Moller, Nicky Bath, Nadine Ezard

JMIR Mhealth Uhealth 2024;12:e55663

Exploring Anesthesia Provider Preferences for Precision Feedback: Preference Elicitation Study

Exploring Anesthesia Provider Preferences for Precision Feedback: Preference Elicitation Study

One-size-fits-most feedback may not be effective due to a host of characteristics such as individuals’ knowledge, skills, and motivational orientation to their work [2,3,9-11]. Methods used by coaches, educators, and quality improvement facilitators to deliver feedback suggest that these factors are important [2,12,13].

Zach Landis-Lewis, Chris A Andrews, Colin A Gross, Charles P Friedman, Nirav J Shah

JMIR Med Educ 2024;10:e54071

Mobile Health Hearing Aid Acclimatization and Support Program in Low-Income Communities: Feasibility Study

Mobile Health Hearing Aid Acclimatization and Support Program in Low-Income Communities: Feasibility Study

This program aims to improve the use of hearing aids by providing basic information on how a hearing aid works, optimal use and care, troubleshooting, and motivational support (Table 1) [48,49]. Three authors (CF, Td K, and DWS) reviewed, cross-checked, and discussed disagreements to ensure that appropriate terminology was used in the messages. The Flesch Reading Ease formula was used to ensure that messages were easy to read and understand [50,51].

Caitlin Frisby, Robert H Eikelboom, Faheema Mahomed-Asmail, Hannah Kuper, David R Moore, Tersia de Kock, Vinaya Manchaiah, De Wet Swanepoel

JMIR Form Res 2023;7:e46043