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Adapting a Self-Guided eHealth Intervention Into a Tailored Therapist-Guided eHealth Intervention for Survivors of Colorectal Cancer

The adaptation of i Conquer Fear to TG-i Conquer Fear was preceded by a draft translation and cultural adaptation of all written material from i Conquer Fear by a professional translator with experience in the psychiatric setting (Multimedia Appendix 1). This Danish draft was then built into an existing web-based treatment platform made available by the Department for Functional Disorders at Aarhus University Hospital in Denmark. The design of the Danish platform was comparable to that of i Conquer Fear.

Johanne Dam Lyhne, Allan Ben Smith, Tina Birgitte Wisbech Carstensen, Lisa Beatty, Adeola Bamgboje-Ayodele, Britt Klein, Lars Henrik Jensen, Lisbeth Frostholm

JMIR Cancer 2025;11:e63486

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Assessment, Decision, Adaptation, Production, Topical Experts-Integration, Training, and Testing (ADAPT-ITT) Framework to Tailor Evidence-Based Posttraumatic Stress Disorder Treatment for People With HIV to Enhance Engagement and Adherence: Qualitative Results from a Feasibility Randomized Controlled Trial

Aligned with the ADAPT-ITT model, the CPT-L adaptation process will comprise 8 phases: assessment, decision, adaptation, production, topical expert, integration, training, and testing; and it has primarily been used in the context of HIV [33]. Findings in the current manuscript reflect the first 4 completed phases of the ADAPT-ITT protocol.

Cristina M Lopez, Angela D Moreland, Stephanie Amaya, Erin Bisca, Christin Mujica, Tayler Wilson, Nathaniel Baker, Lauren Richey, Allison Ross Eckard, Patricia A Resick, Steven A Safren, Carla Kmett Danielson

JMIR Form Res 2025;9:e64258

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A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation

In other words, the critical perspective describes the need to examine innovations in their specific context of emergence, assuming that during implementation, both the innovation and the local setting are reshaped in a work-intensive process of mutual adaptation, and that some type of local knowledge or practice is inevitably lost in this process.

Sanne Allers, Chiara Carboni, Frank Eijkenaar, Rik Wehrens

J Med Internet Res 2024;26:e58007

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

The use of AI to derive insights specifically for individual users was mentioned as a way to substantiate the matching of segmentation and adaptation (3/56, 5%). This way of creating an adaptation strategy means that at an individual level, it is decided what works for whom (adaptation strategy) using data science techniques.

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

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Adapting a Dutch Web-Based Intervention to Support Family Caregivers of People With Dementia in the UK Context: Accelerated Experience-Based Co-Design

Pi B was selected for adaptation in the Care Coach program because it reported significant positive effects on caregiver self-efficacy, mastery, and quality of life in a recent feasibility trial [29].

Fiona Scheibl, Lizzy Boots, Ruth Eley, Christopher Fox, Fergus Gracey, Karen Harrison Dening, Jan Oyebode, Bridget Penhale, Fiona Poland, Gemma Ridel, Juniper West, Jane L Cross

JMIR Form Res 2024;8:e52389

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Applying Machine Learning Techniques to Implementation Science

with differing priorities The context is not static End users with differing priorities Need to adapt to setting and targeted population The context is not static (new guidelines, policy, and care delivery) Predict who will adopt an EBI Determine the level of support needed Identify the need for change ML as a strategy Monitor progress Inform need for deimplementation Inform need for support Setting characteristics Time period Data completeness Multilevel strategy N/Ac Risk prediction bias Recalibration of ML Adaptation

Nathalie Huguet, Jinying Chen, Ravi B Parikh, Miguel Marino, Susan A Flocke, Sonja Likumahuwa-Ackman, Justin Bekelman, Jennifer E DeVoe