Reviewhybrid2022

Precision health in behaviour change interventions: A scoping review

Chelsea Emma Mauch · Sarah Martine Edney · John Noel M. Viaña · Shakuntla V. Gondalia · Hamza Sellak · Sarah J. Boud +2 more

33 citations0/0 files storedPreventive Medicine

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Behavioral Health and Interventions Mobile Health and mHealth Applications Nutrition, Genetics, and Disease

Abstract

Precision health seeks to optimise behavioural interventions by delivering personalised support to those in need, when and where they need it. Conceptualised a decade ago, progress toward this vision of personally relevant and effective population-wide interventions continues to evolve. This scoping review aimed to map the state of precision health behaviour change intervention research. This review included studies from a broader precision health review. Six databases were searched for studies published between January 2010 and June 2020, using the terms 'precision health' or its synonyms, and including an intervention targeting modifiable health behaviour(s) that was evaluated experimentally. Thirty-one studies were included, 12 being RCTs (39%), and 17 with weak study design (55%). Most interventions targeted physical activity (27/31, 87%) and/or diet (24/31, 77%), with 74% (23/31) targeting two to four health behaviours. Interventions were personalised via human interaction in 55% (17/31) and digitally in 35% (11/31). Data used for personalising interventions was largely self-reported, by survey or diary (14/31, 45%), or digitally (14/31, 45%). Data was mostly behavioural or lifestyle (20/31, 65%), and physiologic, biochemical or clinical (15/31, 48%), with no studies utilising genetic/genomic data. This review demonstrated that precision health behaviour change interventions remain dependent on human-led, low-tech personalisation, and have not fully considered the interaction between behaviour and the social and environmental contexts of individuals. Further research is needed to understand the relationship between personalisation and intervention effectiveness, working toward the development of sophisticated and scalable behaviour change interventions that have tangible public health impact.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 33 citations exist upstream.

References

2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation 2015Guidance for conducting systematic scoping reviews 2004A Process for Systematically Reviewing the Literature: Providing the Research Evidence for Public Health Nursing Interventions 2017Optimal database combinations for literature searches in systematic reviews: a prospective exploratory study 2016Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions 2017Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop 2019Social determinants and non-communicable diseases: time for integrated action 2022Elderly Forgotten? Digital Exclusion in the Information Age and the Rising Grey Digital Divide

Cited by

2023Use of Biological Feedback as a Health Behavior Change Technique in Adults: Scoping Review 2025From error to insight: Removing non-systematic responding data in the delay discounting task may introduce systematic bias

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.