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The NASSS framework for ex post theorisation of technology-supported change in healthcare: worked example of the TORPEDO programme.

Authors :
Abimbola, Seye
Patel, Bindu
Peiris, David
Patel, Anushka
Harris, Mark
Usherwood, Tim
Greenhalgh, Trisha
Source :
BMC Medicine; 12/30/2019, Vol. 17 Issue 1, p1-17, 17p, 1 Color Photograph, 1 Chart, 1 Map
Publication Year :
2019

Abstract

<bold>Background: </bold>Evaluation of health technology programmes should be theoretically informed, interdisciplinary, and generate in-depth explanations. The NASSS (non-adoption, abandonment, scale-up, spread, sustainability) framework was developed to study unfolding technology programmes in real time-and in particular to identify and manage their emergent uncertainties and interdependencies. In this paper, we offer a worked example of how NASSS can also inform ex post (i.e. retrospective) evaluation.<bold>Methods: </bold>We studied the TORPEDO (Treatment of Cardiovascular Risk in Primary Care using Electronic Decision Support) research programme, a multi-faceted computerised quality improvement intervention for cardiovascular disease prevention in Australian general practice. The technology (HealthTracker) had shown promise in a cluster randomised controlled trial (RCT), but its uptake and sustainability in a real-world implementation phase was patchy. To explain this variation, we used NASSS to undertake secondary analysis of the multi-modal TORPEDO dataset (results and process evaluation of the RCT, survey responses, in-depth professional interviews, videotaped consultations) as well as a sample of new, in-depth narrative interviews with TORPEDO researchers.<bold>Results: </bold>Ex post analysis revealed multiple areas of complexity whose influence and interdependencies helped explain the wide variation in uptake and sustained use of the HealthTracker technology: the nature of cardiovascular risk in different populations, the material properties and functionality of the technology, how value (financial and non-financial) was distributed across stakeholders in the system, clinicians' experiences and concerns, organisational preconditions and challenges, extra-organisational influences (e.g. policy incentives), and how interactions between all these influences unfolded over time.<bold>Conclusion: </bold>The NASSS framework can be applied retrospectively to generate a rich, contextualised narrative of technology-supported change efforts and the numerous interacting influences that help explain its successes, failures, and unexpected events. A NASSS-informed ex post analysis can supplement earlier, contemporaneous evaluations to uncover factors that were not apparent or predictable at the time but dynamic and emergent. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17417015
Volume :
17
Issue :
1
Database :
Complementary Index
Journal :
BMC Medicine
Publication Type :
Academic Journal
Accession number :
140956184
Full Text :
https://doi.org/10.1186/s12916-019-1463-x