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2019
DOI: 10.1111/1467-9566.12957
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Research campaigns in the UK National Health Service: patient recruitment and questions of valuation

Abstract: The National Institute for Health Research (NIHR) aims to improve national ‘health and wealth' by providing infrastructural support to enable clinical research in National Health Service settings in England and Wales. Cognisant of the consequences of studies' failure to achieve required numbers of participants, it also actively campaigns to promote patient awareness of research, and willingness to participate in trials. In this paper, we analyse recent NIHR campaigns and policies designed to encourage patients… Show more

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Cited by 13 publications
(20 citation statements)
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“…Expectations of EHR data-driven research for speculative valuations of health and wealth have, therefore, their own important role in how GPs, NHS patients and the data they co-produce are reimagined and valued for EHR data-driven research within a high-stakes biomedical knowledge economy (Birch et al, 2020; Dussauge et al, 2015; Wienroth et al, 2019). They are fundamental in mobilizing various state, commercial and academic actors as well as capital for the assetization of NHS patient data and the enactment of a new health data access market (Birch et al, 2020; Brown, 2003; Vezyridis and Timmons, 2017).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Expectations of EHR data-driven research for speculative valuations of health and wealth have, therefore, their own important role in how GPs, NHS patients and the data they co-produce are reimagined and valued for EHR data-driven research within a high-stakes biomedical knowledge economy (Birch et al, 2020; Dussauge et al, 2015; Wienroth et al, 2019). They are fundamental in mobilizing various state, commercial and academic actors as well as capital for the assetization of NHS patient data and the enactment of a new health data access market (Birch et al, 2020; Brown, 2003; Vezyridis and Timmons, 2017).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
“…aggregate databases, risk calculators) and intangible (e.g. epidemiological and computational expertise) knowledge assets for financialized EHR data-driven research and development (Birch et al, 2020; Dagiral and Peerbaye, 2016; Muniesa et al, 2017; Wienroth et al, 2019).…”
Section: Theorizing Research Expectations Service Valuations and Data Assetizationsmentioning
confidence: 99%
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“…Wienroth et al . (2019) argues that National Institute for Health Research recruitment campaigns frame patients themselves as assets within the political economy of the NHS. In other contexts, such as the biobank, this value is argued to be something that is produced and maintained (as opposed to something innate) through the ongoing, often invisible labour of both biobank participants and biobank staff (Harris et al, 2013, Wyatt et al, 2018a).…”
Section: Introductionmentioning
confidence: 99%
“…However, as the case of MCI illustrates, this boundary is increasingly fuzzy in contemporary biomedical practice. This is particularly the case in contexts such as Alzheimer's disease in which the range of therapies "in the clinic" is limited and in which clinical trials are seen as part of the therapeutic landscape, or genomic medicine, in which clinical investigations may be closely linked to research participation (Davis 2017;Dheensa et al 2018;Wienroth, Pearce, and McKevitt, 2019). For Boenink (2018), the diagnostic criteria, and accompanying moves to establish "appropriate use criteria" for biomarker technologies in the clinic, play a dual role.…”
Section: Introductionmentioning
confidence: 99%