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Serena McCluskey

Researcher at University of Huddersfield

Publications -  28
Citations -  1362

Serena McCluskey is an academic researcher from University of Huddersfield. The author has contributed to research in topics: Population & Back pain. The author has an hindex of 11, co-authored 28 publications receiving 966 citations. Previous affiliations of Serena McCluskey include University of Salford & University of Leeds.

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The Utility of Template Analysis in Qualitative Psychology Research

TL;DR: This article describes three case studies of research projects which employed Template Analysis and highlights the distinctive features of this style of thematic analysis, discussing the kind of research where it may be particularly appropriate, and consider possible limitations of the technique.
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Workplace physical activity interventions: a systematic review

TL;DR: A synopsis of a recent systematic review of the literature regarding the effectiveness of workplace physical activity interventions, commissioned by the National Institute for Health and Clinical Excellence (NICE), is reported.
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How do doctors refer to patient-reported outcome measures (PROMS) in oncology consultations?

TL;DR: A secondary qualitative analysis of consultations between oncologists and their patients to explore how patient-reported outcome measures (PROMs) data were referred to in the process of eliciting and exploring patients’ concerns, and to enable doctors to optimise their use of PROMs data within the consultation.
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The influence of 'significant others' on persistent back pain and work participation: A qualitative exploration of illness perceptions

TL;DR: The findings from this exploratory study reveal how others and wider social circumstances might contribute both to the propensity of persistent back pain and to its consequences.
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Increasing response rates to lifestyle surveys: A pragmatic evidence review

TL;DR: An evidence-based review of the methodological literature relating to the administration of lifestyle surveys was undertaken, with the specific aim of identifying practical and resource-efficient strategies shown to be effective for maximizing whole-population response rates.