Evidence map›Paper›PMID 31888718›Full record

ArticleBMC medicine2019

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

Seye Abimbola, Bindu Patel, David Peiris, Anushka Patel, Mark Harris, Tim Usherwood, Trisha Greenhalgh

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 55 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 8 pooled it
12.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT04669340 nacompletednot on this mapstarted 2021, after this paper: background citation

E-learning in Patient Education to Patients With Rheumatoid Arthritis - An Evaluation of the Effectiveness, the Patient Perspective and the Implementation

TypeinterventionalSponsorAarhus University HospitalRan2021 to 2024Enrolled181ConditionsRheumatoid Arthritis, Patient Involvement, Self EfficacyArmsE-learning patient education, Standard face-to-face patient education
NCT05997901 nacompletednot on this mapstarted 2024, after this paper: background citation

Helping People Adhere to Their Varenicline Treatment by Co-creating a Conversational Agent: A Feasibility Study

TypeinterventionalSponsorCentre for Addiction and Mental HealthRan2024 to 2025Enrolled40ConditionsMedication Adherence, Smoking CessationArmsVarenicline healthbot
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 8 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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  5. Question answering systems for health professionals at the point of care-a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
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  6. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Seye AbimbolaSchool of Public Health, University of Sydney, Sydney, NSW, 2006, Australia.
Bindu PatelCentre for Health Systems Science, The George Institute for Global Health, University of New South Wales, Level 5/1 King St, Newtown, NSW, 2042, Australia.
David PeirisCentre for Health Systems Science, The George Institute for Global Health, University of New South Wales, Level 5/1 King St, Newtown, NSW, 2042, Australia.
Anushka PatelCentre for Health Systems Science, The George Institute for Global Health, University of New South Wales, Level 5/1 King St, Newtown, NSW, 2042, Australia.
Mark HarrisCentre for Primary Health Care and Equity, University of New South Wales, Sydney, NSW, 2052, Australia.
Tim UsherwoodWestmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Trisha GreenhalghCentre for Health Systems Science, The George Institute for Global Health, University of New South Wales, Level 5/1 King St, Newtown, NSW, 2042, Australia. trish.greenhalgh@phc.ox.ac.uk.ORCID 0000-0003-2369-8088
UNSW Sydney · AUThe University of Sydney · AUThe George Institute for Global Health · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluation 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.

methodsWe 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.

resultsEx 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.

conclusionThe 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.

Indexed as

Biomedical TechnologyCardiovascular DiseasesDecision Support Systems, ClinicalDisease ManagementHumansQuality ImprovementRandomized Controlled Trials as TopicRetrospective StudiesTechnology Assessment, BiomedicalComplexity of innovationsDiffusion of innovationEx post evaluationImplementationInnovation adoptionNASSS frameworkNon-adoption, abandonment, scale-up, spread, sustainability frameworkProgramme sustainabilityScale-upTheory-driven evaluation

Identifiers

PMID31888718
PMCPMC6937726
OpenAlexW2997344043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.