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

PURPOSE: 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.

Hemiplegic shoulder pain is reported in up to 40% of people with stroke and a wide range of assessments approaches are reported in the literature.Simple questioning about shoulder pain may not be adequate for providing the best clinical care to patients and an ideal assessment approach would be one that takes into consideration both quantitative and qualitative information.Until a new measure is developed, the four common assessments reported (Visual Analogue Scale; Passive Range of Movement; Fugl-Meyer Assessment and Numerical Rating Scale) should be used in combination.

Designing, implementing and testing an intervention of affective intelligent agents in nursing virtual reality teaching simulations-a qualitative study.

Emotions play an important role in human-computer interaction, but there is limited research on affective and emotional virtual agent design in the area of teaching simulations for healthcare provision. The purpose of this work is twofold: firstly, to describe the process for designing affective intelligent agents that are engaged in automated communications such as person to computer conversations, and secondly to test a bespoke prototype digital intervention which implements such agents. The presented study tests two distinct virtual learning environments, one of which was enhanced with affective virtual patients, with nine 3rd year nursing students specialising in mental health, during their professional practice stage. All (100%) of the participants reported that, when using the enhanced scenario, they experienced a more realistic representation of carer/patient interaction; better recognition of the patients' feelings; recognition and assessment of emotions; a better realisation of how feelings can affect patients' emotional state and how they could better empathise with the patients.