Publications by authors named "C McDaid"

Aims: Lower limb reconstruction (LLR) has a profound impact on patients, affecting multiple areas of their lives. Many patient-reported outcome measures (PROMs) are employed to assess these impacts; however, there are concerns that they do not adequately capture all outcomes important to patients, and may lack content validity in this context. This review explored whether PROMs used with adults requiring, undergoing, or after undergoing LLR exhibited content validity and adequately captured outcomes considered relevant and important to patients.

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Background: The utility of the suprascapular nerve block (SSNB) in the non-surgical management of shoulder pain continues to be explored, whilst its associated physical harms have not. This systematic review aims to report the physical harms associated with the SSNB in the non-surgical management of shoulder pain.

Methods: A search was undertaken of AMED, CINAHL, Cochrane Library, EMBASE, Medline, Pubmed, and Scopus databases.

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Aims: A review of the literature on elbow replacement found no consistency in the clinical outcome measures which are used to assess the effectiveness of interventions. The aim of this study was to define core outcome domains for elbow replacement.

Methods: A real-time Delphi survey was conducted over four weeks using outcomes from a scoping review of 362 studies on elbow replacement published between January 1990 and February 2021.

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Background: In the UK, one in four patients are in work at the time of their hip or knee replacement surgery. These patients receive little support about their return to work (RTW). There is a need for an occupational support intervention that encourages safe and sustained RTW which can be integrated into National Health Service practice.

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Article Synopsis
  • The study emphasizes the lack of representative recruitment in research trials, highlighting the need to include under-served populations, particularly during study design and funding decisions.
  • It presents case studies of three UK-based trials that effectively utilized publicly available demographic datasets to identify and recruit under-served communities, considering factors like health, socio-economic status, and ethnicity.
  • The discussion points out challenges in using these datasets, such as time and expertise requirements, while suggesting that the methods can be adapted for various study types beyond trials.
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