Yes / Automated tools to speed up the process of evidence synthesis are increasingly apparent within health behaviour research, however, frameworks to evaluate the development and implementation of such tools are not routinely used. This commentary explores the potential of the Non-adoption, Abandonment, Scale-up, Spread and Sustainability framework (NASSS; Greenhalgh et al., 2017) for supporting automated evidence synthesis in health behaviour change by applying it to the ongoing Human Behaviour-Change Project, which aims to revolutionise evidence synthesis within behaviour change intervention research. To increase the relevance of NASSS for health behaviour change, we recommend i) terminology changes (‘condition’ to ‘behaviour’ and ‘patient’ to ‘end user’) and ii) a that it is used prospectively so that complexities can be addressed iteratively. We draw three conclusions about i) the need to specify the organisations that will use the technology, ii) identifying what to do if interdependencies fail and iii) even though we have focused on automated evidence synthesis, NASSS would arguably be beneficial for technology developments in health behaviour change more generally, particularly for invention development (e.g. for a behaviour change app).
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19781 |
| Date | 11 January 2024 |
| Creators | Branney, Peter, Marques, M., Norris, E. |
| Publisher | Sage |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Article, Published version |
| Rights | (c) 2024 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), CC-BY |
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