Publications by authors named "Val Bryant"

: Data sharing enables researchers to conduct novel research with previously collected datasets, thus maximising scientific findings and cost effectiveness, and reducing research waste. The value of sharing, even de-identified, quantitative data from clinical trials is well recognised with a moderated access approach recommended. While substantial challenges to sharing quantitative data remain, there are additional challenges for sharing qualitative data in trials.

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Article Synopsis
  • The NIHR Policy Research Unit in Behavioural Science (PRU-BS) aims to use behavioral science insights to inform health and social care policies, requiring a diverse Participatory Public Involvement (PPI) group.
  • This paper discusses how the original PPI plan was adapted to address real-world challenges, particularly in the context of the Covid-19 pandemic.
  • It highlights the establishment and functioning of the PPI Strategy Group, emphasizes effective communication through virtual platforms, and shares lessons learned to assist others in similar scenarios.
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Objective: To conduct the first UK-wide research priority setting project informing researchers and funders of critical knowledge gaps requiring investigation to improve the health and well-being of patients with eating, drinking and swallowing disorders (dysphagia) and their carers.

Design: A priority setting partnership between the National Institute of Health Research (NIHR) and the Royal College of Speech and Language Therapists using a modified nominal group technique. A steering group and NIHR representatives oversaw four project phases: (1) survey gathering research suggestions, (2) verification and aggregation of suggestions with systematic review research recommendations, (3) multistakeholder workshop to develop research questions, (4) interim priority setting via an online ranking survey and (5) final priority setting.

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: Data sharing enables researchers to conduct novel research with previously collected data sets, thus maximising scientific findings and cost effectiveness, and reducing research waste. The value of sharing anonymised data from clinical trials is well recognised with a moderated access approach recommended. While substantial challenges to data sharing remain, there are additional challenges for qualitative data.

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