Year: 2017
Type: article
Study design: Systematic Review
Abstract: Introduction \nHemiplegic Shoulder Pain (HSP) is reported between 16% and 84% in people with stroke. A recent survey of therapists in the UK reported that clinicians are using a wide range of assessment approaches irrespective of the underlying pathology. The main aim of this scoping review was to gather all potential assessment approaches available for adults with HSP and to identify how frequently each assessment approach occurred. \n \nAbstract Method \nFive researchers were involved and each researcher conducted a search in one of the databases that were selected: Embase, CINAHL plus, Medline, Cochrane library and AMED. All outcome measures/assessments that were used in relation to HSP were extracted based on the set inclusion/exclusion criteria. \n \nAbstract Results \nA total of 122 out of 585 studies were found that met the inclusion criteria and 43 assessment methods of HSP were identified. The most commonly reported measures included Visual Analogue Scale (VAS) (66 times), Passive Range of Motion (51 times), Fugl-Meyer Assessment (29 times), Modified Ashworth Scale (26 times) and Numerical Rating Scale (23 times). A less commonly reported but a potentially useful tool; Shoulder Q was reported only 5 times. \n \nAbstract Discussion \nBoth general and stroke specific assessment approaches were used to measure HSP. There are several limitations with the current assessment approaches as they do not encompass all domains. Several measures lacked reliability/validity in stroke population. A fully comprehensive assessment that considers subjective, objective and functional elements is needed in this area to inform appropriate treatment choices and to improve patients’ outcome.
Source: International Journal of Stroke
Authors: Marigold, J.R.G, Weir, N.U., Crawford, P.J., Evans, S.R., Battersby Wood, E.J., Lovett, J.K., Colchester, N.T., Morris, R.J., Slaght, S.J.
Institution: University of Manchester
Language: English
Subfield: Rehabilitation
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4293297212
