ReviewDigital health
The person-based approach to intervention development: A scoping review of methods and applications.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Article
- An Evidence-Based AI Virtual Assistant for Young People With Attention Deficit Hyperactivity Disorder: Co-Design and Prototype Development.JMIR formative research · 2026Article
- Development of FamTAM Intervention for Speech and Language Pathologists and Family Members.Behavioral sciences (Basel, Switzerland) · 2026Article
- Article
- "We Don't Normally Go Down This Avenue; This Is Normally Taboo": Using Co-Design to Develop a Training Intervention for Spiritual Health in Primary Care.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- Designing complex health system interventions: an integrated theory-informed approach.Frontiers in health services · 2026Review
- Digital health technologies for adults with ADHD: a scoping review.Frontiers in digital health · 2026Review
- Optimising stakeholder engagement during intervention planning and development using the Person-Based Approach: the example of an online FeNO-guided asthma management intervention in primary care.NPJ primary care respiratory medicine · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The person-based approach (PBA) has emerged as a prominent methodology guiding the development of digital and hybrid health behaviour change interventions over the last decade, and there is a salient need to understand its utilization. Objective: This study aims to describe which elements of the PBA have been utilised in intervention development research, for which populations, and how this has been reported. Methods: A search for intervention development papers published between 2015 and 2023 using forward citation searches was undertaken in Scopus, using two seed articles. Results are presented using frequency counts, and qualitative data were summarised using content analysis. Results: The review encompasses 239 papers. The PBA has frequently been applied in early stage development of digital interventions for adult populations, prioritising the use of qualitative methods. It has been used globally to develop, adapt, optimise and evaluate digital, hybrid and offline interventions for a wide range of contexts including primary and secondary healthcare, educational, community, and public health settings. Researchers value it as a proven method to identify user needs and preferences in order to create persuasive content. Conclusion: The PBA is most frequently linked to research undertaken to understand target populations and iteratively design content in early development phases. The PBA provides guidance on combining
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.