Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?
Open accessAbstract
BACKGROUND: In designing digital interventions for healthcare, it is important to understand not just whether interventions work but also how and for whom-including whether individual intervention components have different effects, whether a certain usage threshold is required to change behavior in each intervention and whether usage differs across population subgroups. PURPOSE: We investigated these questions using data from a large trial of the digital PRimary care trial of a website based Infection control intervention to Modify Influenza-like illness and respiratory tract infection Transmission) (PRIMIT) intervention, which aimed to reduce respiratory tract infections (RTIs) by increasing hand hygiene behavior. METHOD: Baseline and follow-up questionnaires measured behaviors, intentions and attitudes in hand hygiene. In conjunction with objective measures of usage of the four PRIMIT sessions, we analysed these observational data to examine mechanisms of behavior change in 8993 intervention users. RESULTS: We found that the PRIMIT intervention changed behavior, intentions and attitudes, and this change was associated with reduced RTIs. The largest hand hygiene change occurred after the first session, with incrementally smaller changes after each subsequent session, suggesting that engagement with the core behavior change techniques included in the first session was necessary and sufficient for behavior change. The intervention was equally effective for men and women, older and younger people and was particularly effective for those with lower levels of education. CONCLUSIONS: Our well-powered analysis has implications for intervention development. We were able to determine a 'minimum threshold' of intervention engagement that is required for hand hygiene change, and we discuss the potential implications this (and other analyses of this type) may have for further intervention development. We also discuss the application of similar analyses to other interventions.
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The threshold of engagement with the digital component that successfully facilitates the "non-digital target behaviour" can demonstrably vary between individuals, supporting a shift toward patient-treatment matching and person-centered care.
“Notably, the threshold of engagement with the digital component that successfully facilitates the “non-digital target behaviour” can demonstrably vary between individuals [71], supporting a shift toward patient-treatment matching and person-centered care [72]”
From Experiences of Using Digital Mindfulness-Based Interventions: Rapid Scoping Review and Thematic Synthesis (2023) · cites this paper as [71]
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- Authors
- Ainsworth, B., Steele, M., Stuart, B., Joseph, J., Miller, S., Morrison, L., Little, P., & Yardley, L.
- Affiliations
- University of Southampton (GB)
- Corresponding author
- Ainsworth, B.
- Venue
- Annals of Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-12-01
- Volume
- 51
- Issue
- 3
- Pages
- 423-431
- ISSN
- 0742-5554 (ISSN-L)
- 0883-6612
- 1532-4796
- PMC
- PMC5440485
- OpenAlex
- W2558876944
- Cited by
- 41
- References
- 49
- Citations by year
- 2025: 2 · 2024: 7 · 2023: 7 · 2022: 3 · 2021: 10 · 2020: 4 · 2019: 2 · 2018: 5 · 2017: 1
- FWCI
- 4.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Annals of Behavioral Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion, cc-by)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- Funders
- Medical Research Council (09/800/22)
- Engineering and Physical Sciences Research Council (GB) (EP/I032673/1)
- Topics
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Keywords
- hand hygiene, behavior change, digital interventions, infection control, respiratory infections, influenza-like illness, primary care, intervention engagement, behaviour change techniques, behavior change mechanisms, educational level differences, gender differences, age differences
- MeSH terms
- Adult, Behavior Therapy, Female, Humans, Influenza, Human, Male, Middle Aged, Surveys and Questionnaires, Intention, Hand Hygiene
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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