Publications by authors named "Eleanor Hoverd"

Introduction: People from Black African Diaspora Communities (BAFDC) experience poorer health outcomes, have many long-term conditions and are persistently under-represented in health and care research. There is limited focus on programmes, or interventions that support inclusion and participation of people from BAFDC in research. Through coproduction, this realist review seeks to provide a programme theory explaining what context and mechanisms may be required, to produce outcomes that facilitate inclusion and participation for people from BAFDC in health and care research, in the UK.

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Background: Patient and Public Involvement and Engagement (PPIE) should be embedded as part of researchers' everyday practice. However, this can be challenging. Creating a digital presence for PPIE as part of Higher Education Institutes' (HEIs) infrastructure may be one way of supporting this.

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Objective: To develop and refine a programme theory that explains factors that influence decisions to take part in health research by people of diverse ethnic and cultural backgrounds.

Design: Realist review following a sequence of five steps: (a) scoping search and identification of programme theory; (b) evidence searching; (c) critical appraisal and data extraction; (d) organisation of evidence and (e) refinement of programme theory.

Eligibility Criteria: Documents (including peer-reviewed articles, grey literature, websites, reports and conference papers) either full text, or a section of relevance to the overarching research question were included.

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Background: The informed consent process aims to provide potential participants with information about health research that enables them to make an informed decision as to whether they choose to participate, or not. However, it remains unclear as to whether the process is effective for those who are under-served in health research. It is a pivotal issue within health research that the diversity of people who participate is broadened.

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Background: For a trial of supportive self-management for people with chronic headache we needed to develop and validate a telephone classification interview that can be used by a non-headache specialist to classify common chronic headache types in primary care. We aimed to specifically: exclude secondary headaches other than medication overuse, exclude primary headache disorders other than migraine and tension type headache (TTH), distinguish between chronic migraine and chronic TTH, and identify medication overuse headache.

Methods: We held a headache classification consensus conference to draw on evidence and expertise to inform the content of a logic model underpinning the classification interview.

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