Co-design of Digital Health Interventions for Young Adults: Protocol for a Scoping Review.

JMIR Res Protoc

Discipline of Nutrition & Dietetics, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand.

Published: October 2022

Background: Digital health interventions, including apps and web-based services, are on the rise due to their facilitated access to target groups. The constant evolution of technology calls for participatory research methodologies to understand youth expectations and the use of technology. The creative and collaborative nature of co-design allows for the active integration of youth desires and may enhance acceptability when it comes to digital health tools.

Objective: The primary objective of this review is to assess the breadth of literature on digital health interventions that have been co-designed for and by young adults, including the types of available evidence, the identification of key characteristics relevant to young adult co-design, and the examination of research conduct in this space.

Methods: The proposed scoping review will be conducted in accordance with the Joanna Briggs Institute (JBI) Manual for Scoping Reviews. As well as the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist for reporting scoping reviews, an adaptation of Arksey and O'Malley's 6-stage framework for scoping reviews will be referenced. Peer-reviewed primary research, where young adults (aged 15-35 years) were actively involved in the design and development process of digital health interventions, will be collated for analyses. Five databases, including MEDLINE (Ovid), Cochrane, CINAHL Plus, Google Scholar, and Scopus, will be searched for relevant papers. Search strategies will be comprehensive to identify both published and unpublished literature. Relevant gray literature and secondary research will be excluded but pooled for separate analysis and citation chaining. Results will be presented in one or multiple forms, including narrative, tabular, or diagrammatic.

Results: Data collection commenced in October 2021. Following data extraction according to the JBI results extraction instrument and independent quality assurance of included studies, a narrative synthesis of each paper included in the final pool will allow for data charting. As of May 2022, 19 papers are included for analysis. We expect the results to be published by autumn 2022.

Conclusions: This protocol provides guidance for researchers who plan to conduct a similar style of investigation and promotes standardization of the scoping review process. We anticipate the provision of an overview of participatory digital health research involving young adults, highlighting any gaps in this research area, as well as potential areas for further study.

International Registered Report Identifier (irrid): DERR1-10.2196/38635.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641514PMC
http://dx.doi.org/10.2196/38635DOI Listing

Publication Analysis

Top Keywords

digital health
24
health interventions
16
young adults
16
scoping reviews
16
scoping review
12
will
8
scoping
7
health
6
young
5
digital
5

Similar Publications

Digital health platforms for asthma self-management have demonstrated promise in improving clinical and quality of life outcomes. However, few studies have examined such an approach in a real-world, fully remote setting. As such, we evaluated the benefit of an evidence-based digital self-management platform for asthma-both on its own and when integrated into an established virtual clinical service.

View Article and Find Full Text PDF

Towards a histological diagnosis of childhood small vessel CNS vasculitis.

Pediatr Rheumatol Online J

December 2024

Section of Rheumatology, Department of Pediatrics, Alberta Children's Hospital, University of Calgary, Calgary, Canada.

Background: Primary small vessel CNS vasculitis (sv-cPACNS) is a challenging inflammatory brain disease in children. Brain biopsy is mandatory to confirm the diagnosis. This study aims to develop and validate a histological scoring tool for diagnosing small vessel CNS vasculitis.

View Article and Find Full Text PDF

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC Public Health

December 2024

Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

View Article and Find Full Text PDF

Background: The success of a restoration largely depends on the quality of its fit. This study aimed to investigate the fit quality of monolithic zirconia veneers (MZVs) produced through traditional and digital workflows.

Methods: A typodont maxillary right central incisor was prepared.

View Article and Find Full Text PDF

Disrupted brain networks underlying high-fidelity memory retrieval in subjective cognitive decline: A task-based fMRI study.

Alzheimers Dement

December 2024

Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Introduction: Subjective cognitive decline (SCD) is linked to memory complaints and disruptions in certain brain regions identified by molecular imaging and resting-state functional magnetic resonance imaging studies. However, it remains unclear how these regions interact to contribute to both subjective and potential objective memory issues in SCD.

Methods: To address this gap, task-based imaging studies are essential.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!