ArticleFrontiers in health services2023
Intentional practice: a common language, approach and set of methods to design, adapt and implement contextualised wellbeing solutions.
Article in Frontiers in health services, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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Who cites it
2 citing papers in PubMed.
- Multidimensional perspectives of geo-epidemiology: from interdisciplinary learning and research to cost-benefit oriented decision-making.Frontiers in public health · 2024Article
- Wellbeing-responsive community: a growth target for intentional mental health promotion.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reducing the "science-to-practice" gap has gained significant attention across multi-disciplinary settings, including school psychology and student wellbeing, trauma-informed practice, community and human services, and clinically focused health care. There has been increasing calls for complexity and contextualisation to be integrated within the implementation science literature. This includes the design and implementation of interventions spanning "systems" (whole-of-community capacity building initiatives), "programs" (e.g., evidence-based programs, clinical interventions) and "moment-to-moment" support or care. The latter includes responses and communication designed to deliver specific learning, growth or wellbeing outcomes, as personalised to an individual's presenting needs and context (e.g., trauma-informed practice). Collectively, this paper refers to these interventions as "wellbeing solutions". While the implementation science literature offers a range of theories, models and approaches to reduce the science-to-practice gap in wellbeing solution design and implementation, they do not operationalise interventions into the "moment", in a manner that honours both complexity and contextualisation. Furthermore, the literature's language and content is largely targeted towards scientific or professional audiences. This paper makes the argument that both best-practice science, and the frameworks that underpin their implementation, need to be "sticky", practical and visible for both scientific and non-scientific knowledge users. In response to these points, this paper introduces "intentional practice" as a common language, approach and set of methods, founded upon non-scientific language, to guide the design, adaptation and implementation of both simple and complex wellbeing solutions. It offers a bridge between scientists and knowledge users in the translation, refinement and contextualisation of interventions designed to deliver clinical, wellbeing, growth, therapeutic and behavioural outcomes. A definitional, contextual and applied overview of intentional practice is provided, including its purported application across educational, wellbeing, cross-cultural, clinical, therapeutic, programmatic and community capacity building contexts.
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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.