e.g. mhealth
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Skip search results from other journals and go to results- 45 JMIR Formative Research
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Combined with clinical expertise and other foundational capabilities (ie, multi-channel tools, interoperability, and plan benefit design), these data-informed insights have great potential to enable the delivery of low-cost interventions to modify members’ health behaviors associated with a planned inpatient procedure or following discharge from an acute hospital stay.
JMIR Hum Factors 2025;12:e63841
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To achieve the desired result, a design science approach [18] was used to create and iterate through successive versions of the patient journey map artifact (PJMA). Design science is an approach involving “the creation of an artifact and/or design theory as a means to improve the current state of practice as well as existing research knowledge” [19]. Design science focuses on the development of a new artifact (eg, a diagram, app, or graph), as well as the study of the use of the newly created artifact.
JMIR Form Res 2025;9:e53617
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This app's multiple content and delivery options facilitate integrating BCTs into message design. Moreover, Whats App allows documentation of intervention delivery processes, including records of scheduled, sent, read, and answered messages.
JMIR Res Protoc 2025;14:e66941
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Design principles and desired intervention components from qualitative interviews with ten participants aged 19‐49 years old with a history of trauma and problem anger.
a —: not available.
In addition to these design features, several other themes emerged in relation to a JITAI for anger.
JMIR Hum Factors 2025;12:e62960
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There were 4 phases of LEAP involvement: developing and refining session content (phase 1), exploring the feasibility of completing the training and obtaining feedback on modified content (phase 2), developing UX design (phase 3), and testing the online program prototype (phase 4). The highly iterative participatory design process enabled continuous feedback from LEAP members during all phases of program development.
LEAP members were consulted online.
JMIR Form Res 2025;9:e66461
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Design, Application, and Actionability of US Public Health Data Dashboards: Scoping Review
characteristics
Stated goals or purposes of the dashboard (eg, tracking or monitoring)
Design philosophy cited (eg, user-friendly, functional, and co-design)
Design process (eg, iterative and collaborative)
Dashboard features (eg, customization and search functionalities)
Data visualization tools (eg, maps, graphs, and tables)
Users and usability
Intended audiences
Public access (open, restricted or limited, and requires registration)
Dissemination channels (eg, social media, news outlets, email, and listserv
J Med Internet Res 2025;27:e65283
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This study followed a multiphasic conceptual model of user-centered design rooted in human factors research, as outlined by Witteman et al [38]; refer to Figure 1. In phase 1, design teams engaged users and other knowledge holders with the goal of understanding user needs, goals, and strengths. In phase 2, design teams iteratively developed and refined an initial intervention prototype with user feedback.
JMIR Aging 2025;8:e66212
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However, studies proposing electronic or digital methods for dosage tracking often do not adopt a co-design approach that would accommodate the full range of stroke severities, including cognitive and aphasic impairments.
JMIR Rehabil Assist Technol 2025;12:e68129
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This methodology is presented in two sections: (1) design a mobile application, and (2) validation and quality assessment.
The research protocol for designing a health mobile application for patients with cancer was reviewed and approved by the Scientific Ethics Committee CEC Med-UC (09/2023) ID 230808005. All participants provided informed consent before submitting their responses. Participation was voluntary, and participants were informed of their right to withdraw at any time without consequence.
JMIR Hum Factors 2025;12:e60169
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This work then investigated the relationship between design and care as manifested in today’s mental health–related chatbots. We suggest that mental health chatbot design can learn from a closer and more appropriately informed engagement with therapeutic practices, including through the involvement of mental health professionals in their development and evaluation.
J Med Internet Res 2025;27:e67114
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