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Adapting a Mobile Health App for Smoking Cessation in Black Adults With Anxiety Through an Analysis of the Mobile Anxiety Sensitivity Program Proof-of-Concept Trial: Qualitative Study

Adapting a Mobile Health App for Smoking Cessation in Black Adults With Anxiety Through an Analysis of the Mobile Anxiety Sensitivity Program Proof-of-Concept Trial: Qualitative Study

Tailoring involves selecting intervention content that corresponds to participant characteristics such as beliefs, identity, or readiness to change that can influence the success of a behavior change intervention and provide relevant content in the moments it is needed most [25,34-36].

Marshall K Cheney, Adam C Alexander, Lorra Garey, Matthew W Gallagher, Emily T Hébert, Anka A Vujanovic, Krista M Kezbers, Cameron T Matoska, Michael J Zvolensky, Michael S Businelle

JMIR Form Res 2025;9:e53566

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Therefore, tailoring PA-fostering JITAIs based on PSCF comes with a considerable risk of misaligning intervention timing and content with users’ current states. Misaligned interventions may annoy users or could hinder engagement leading to drop out from JITAI use [9,14]. In literature, self-report measures of momentary affect and motivation have been shown to be closely related to actual PA [15,16].

Devender Kumar, David Haag, Jens Blechert, Josef Niebauer, Jan David Smeddinck

JMIR Mhealth Uhealth 2025;13:e57255

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps

mHealth Apps for Dementia Caregivers: Systematic Examination of Mobile Apps

Thus, it is critical to systematically examine m Health apps for their information provision and tailoring, as a first step in assessing their effectiveness for the support of caregivers. In the use of m Health apps to tailor support [40,41], three strategies for tailoring are common: (1) Personalization—strategies that convey “explicitly or implicitly, that the communication is designed specifically” for an individual [42].

Ning Zou, Bo Xie, Daqing He, Robin Hilsabeck, Alyssa Aguirre

JMIR Aging 2024;7:e58517

Clarifying the Concepts of Personalization and Tailoring of eHealth Technologies: Multimethod Qualitative Study

Clarifying the Concepts of Personalization and Tailoring of eHealth Technologies: Multimethod Qualitative Study

This is referred to as tailoring and personalization in the context of e Health technologies. Personalization and tailoring seem to be logical ways to overcome suboptimal effectiveness, but there is no clear agreement on how to define personalization and tailoring and what the differences and similarities are. In addition, it remains unclear how personalization and tailoring are being applied and can be applied to e Health technologies.

Iris ten Klooster, Hanneke Kip, Sina L Beyer, Lisette J E W C van Gemert-Pijnen, Saskia M Kelders

J Med Internet Res 2024;26:e50497

Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial

Engagement With a Relaxation and Mindfulness Mobile App Among People With Cancer: Exploratory Analysis of Use Data and Self-Reports From a Randomized Controlled Trial

Personal preferences are acknowledged, for example, by tailoring emojis to participants’ preferred skin tone and providing all chat content in 3 gender options (woman; man; and a gender-neutral option using the gender star, an asterisk placed within German words such as in “Liebe*r Andrea”). Participants select both the skin tone of their emoji and their preferred gender option during the onboarding process.

Sonja Schläpfer, Fabian Schneider, Prabhakaran Santhanam, Manuela Eicher, Tobias Kowatsch, Claudia M Witt, Jürgen Barth

JMIR Cancer 2024;10:e52386

User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies

User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies

The team also noted that CFIR’s “Innovation Design” and “Tailoring Strategies” constructs are strengthened via UCD. A structured approach to CDS design and tailoring of implementation strategies within these contexts can optimize the overall performance and users’ experiences while minimizing the potential for unintended consequences. Example workflow mapping during data collection. AVS: after visit summary; EHR: electronic health record; MA: medical assistant.

Jessica Ray, Emily Benjamin Finn, Hollyce Tyrrell, Carlin F Aloe, Eliana M Perrin, Charles T Wood, Dean S Miner, Randall Grout, Jeremy J Michel, Laura J Damschroder, Mona Sharifi

J Med Internet Res 2024;26:e51952

The Effect of Interactivity, Tailoring, and Use Intensity on the Effectiveness of an Internet-Based Smoking Cessation Intervention Over a 12-Month Period: Randomized Controlled Trial

The Effect of Interactivity, Tailoring, and Use Intensity on the Effectiveness of an Internet-Based Smoking Cessation Intervention Over a 12-Month Period: Randomized Controlled Trial

Possible ways to increase the effectiveness of e Health interventions include the incorporation of interactivity and tailoring (personalization of an intervention). In a recent meta-analysis, tailored or interactive internet interventions were not found to be superior compared with other internet interventions [14]. Similarly, another meta-analysis did not find significant effects when internet-based SC interventions that were either interactive or tailored were compared with a control group (CG) [15].

Phillip Maiwald, Martina Bischoff, Peter Lindinger, Iris Tinsel, Matthias Sehlbrede, Urs Alexander Fichtner, Gloria Metzner, Christian Schlett, Erik Farin-Glattacker

J Med Internet Res 2023;25:e47463

A Tailored mHealth Intervention for Improving Antenatal Care Seeking and Health Behavioral Determinants During Pregnancy Among Adolescent Girls and Young Women in South Africa: Development and Protocol for a Pilot Randomized Controlled Trial

A Tailored mHealth Intervention for Improving Antenatal Care Seeking and Health Behavioral Determinants During Pregnancy Among Adolescent Girls and Young Women in South Africa: Development and Protocol for a Pilot Randomized Controlled Trial

The content and tailoring of the messages were based on techniques for tailoring health communication messages used in previous studies [30,31,34] and were grounded in self-determination theory [35]. Therefore, the messages applied an autonomy-supported tone to foster autonomous motivation for behavior change [35]. As such, the messages used phrases such as “consider to,” “you can choose to,” or “have you been able to” instead of authoritative or definitive phrases such as “you should.”

Ronel Sewpaul, Ken Resnicow, Rik Crutzen, Natisha Dukhi, Afzal Ellahebokus, Priscilla Reddy

JMIR Res Protoc 2023;12:e43654