Assessment approaches for hemiplegic shoulder pain in people living with stroke - A scoping review

Kumar, Praveen; Christodoulou, Avgi; Loizou, Michael

Abstract

Background
Hemiplegic shoulder pain (HSP) is reported in up to 40% of people with stroke. Causes of HSP are often multifactorial. To inform appropriate treatment, reliable/valid assessments are critical. The aim of this scoping review was to collate assessment approaches used in studies where the primary outcome was HSP, and to identify how frequently each assessment approach was used.
Methods
A systematic search, including studies from 2000-2023 was conducted of the MEDLINE, EMBASE, CINAHL, AMED, Biomed Central, and Cochrane Library databases, with four key terms used: “assess”, “stroke”, “pain” and “shoulder”. All primary studies published in English language fulfilling the reviews inclusion criteria were included. Six reviewers extracted the data.
Results
A total of 29 assessment methods for HSP were identified from 124 studies. The common assessments were: Visual Analogue Scale (n=75,60%), Passive Range of Movement (n=65,52%), Fugl-Meyer Assessment (n=32,26%), glenohumeral subluxation (n=30, 24%) and Numerical Rating Scale (n=27,22%).
Conclusion
A wide range of assessment approaches was identified for HSP, and some are used more than others. A fully comprehensive assessment that considers different aspects of pain including severity and timing, functioning, and the psychological burden, is needed in this area of practice to be able to guide appropriate treatment.

• Journal Article Type: Article
• Acceptance Date: Jul 24, 2024
• Online Publication Date: Aug 6, 2024
• Deposit Date: Jul 25, 2024
• Publicly Available Date: Aug 22, 2024
• Journal: Disability and Rehabilitation
• Print ISSN: 0963-8288
• Electronic ISSN: 1464-5165
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1080/09638288.2024.2385736
• Keywords: Assessment approaches; Hemiplegic Shoulder Pain; Outcome measures; Stroke; Rehabilitation
• Public URL: https://uwe-repository.worktribe.com/output/12709261