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Occupational Therapy and Arts Therapies

Permanent URI for this collectionhttps://eresearch.qmu.ac.uk/handle/20.500.12289/25

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Author: search.filters.author.Nicol, KathHas files: Yes

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    Identifying and responding to delirium in acute stroke: Clinical team members’ understandings
    (Sage, 2020-09-24) Carin-Levy, Gail; Nicol, Kath; van Wijck, Frederike; Mead, Gillian; McVittie, Chris; Funder: Chest Heart and Stroke Scotland; FundRef: 10.13039/501100007919
    Delirium is associated with increased mortality, morbidity and length of hospital stay. In the acute stroke setting, delirium identification is challenging due to the complexity of cognitive screening in this patient group. The aim of this study was to explore how members of interprofessional stroke unit teams identified and responded to a potential delirium in a patient. Online focus groups and interviews utilizing case vignettes were conducted with 15 participants: nurses, occupational therapists, speech and language therapists, and physiotherapists working in acute stroke services. Participants’ understandings of delirium varied, most participants did not identify the symptoms of a possible hypoactive delirium, and nearly all participants discussed delirium symptoms in tentative terms. Aspects of interprofessional working were discussed through the expression of distinct roles around delirium identification. Although participants demonstrated an ethos of person-focused care, there are ongoing challenges involved in early identification and management of delirium in stroke survivors.
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    Delirium in acute stroke: screening tools, incidence rates and predictors: a systematic review.
    (springer verlag, 2012-08) Carin-Levy, Gail; Mead, Gillian; Nicol, Kath; Rush, Robert; van Wijck, Frederike
    Delirium is a common complication in acute stroke yet there is uncertainty regarding how best to screen for and diagnose delirium after stroke. We sought to establish how delirium after stroke is identified, its incidence rates and factors predicting its development. We conducted a systematic review of studies investigating delirium in acute stroke. We searched The Cochrane Collaboration, MEDLINE, EMBASE, CINHAL, PsychINFO, Web of Science, British Nursing Index, PEDro and OT Seeker in October 2010. A total of 3,127 citations were screened, full text of 60 titles and abstracts were read, of which 20 studies published between 1984 and 2010 were included in this review. The methods most commonly used to identify delirium were generic assessment tools such as the Delirium Rating Scale (n = 5) or the Confusion Assessment Method (n = 2) or both (n = 2). The incidence of delirium in acute stroke ranged from 2.3-66%, with our meta-analysis random effects approach placing the rate at 26% (95% CI 19-33%). Of the 11 studies reporting risk factors for delirium, increased age, aphasia, neglect or dysphagia, visual disturbance and elevated cortisol levels were associated with the development of delirium in at least one study. The outcomes associated with the condition are increased morbidity and mortality. Delirium is found in around 26% of stroke patients. Difference in diagnostic and screening procedures could explain the wide variation in frequency of delirium. There are a number of factors that may predict the development of the condition.
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    Staff response to delirium in acute stroke: Knowledge, awareness and barriers to early identication
    (Wiley, 2015-10-23) Carin-Levy, Gail; Nicol, Kath; van Wijck, Frederike; Mead, Gillian; McVittie, Chris
    Introduction: Delirium is a serious medical complication, which can have adverse effects on patients. Identifying delirium following a stroke can be challenging due to the complexity of cognitive screening. This study explored how multidisciplinary team (MDT) members understand delirium following a stroke and what actions are taken when working with a patient exhibiting delirium symptoms. Method: A grounded theory exploration utilising two online focus groups and email exchanges with nurses, physiotherapists, speech and language and occupational therapists working in acute stroke across Scotland. 2 case vignettes were used to elicit responses: 1 described a stroke patient with hypoactive delirium, the other, a hyperactive delirium. Results: 15 participants from various professional groups were recruited. A minority of participants who received delirium training in the past were able to identify symptoms and suggest relevant screening tools. Most participants struggled to identify a hypoactive delirium, mistaking it for dementia or depression and using more tentative language to discuss delirium symptoms. Participants placed an emphasis on the roles of MDT members as instrumental in working out the clinical picture: nurses saw their role as identifying the biomarkers as well as using a delirium screening tool. Allied health staff tended to defer to nurses and medical staff to take these actions. Discussion: MDT members can struggle to identify delirium in acute stroke, particularly the hypoactive subtype. Education and raising awareness of all MDT members working in stroke units has the potential to increase identication rates and possibly lead to more favourable outcomes for these patients.
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    Delirium in acute stroke: A survey of screening and diagnostic practice in Scotland
    (Hindawi Publishing Corporation, 2013-07-13) Carin-Levy, Gail; Nicol, Kath; van Wijck, Frederike; Mead, Gillian
    Aims to survey the use of delirium screening and diagnostic tools in patients with acute stroke across Scotland, and to establish whether doctors and nurses felt the tools used were suitable for stroke patients. Methods An invitation to participate in a web-based survey was e-mailed to 217 doctors and nurses working in acute stroke across Scotland. Descriptive statistics were used to report nominal data and content analysis was used to interpret free text responses. Results Sixty five responses were logged (30% return rate). 48% of respondents reported they routinely screened newly admitted patients for delirium. Following initial screening, 38% reported they screened for delirium as the need arises. 43% reported using clinical judgment to diagnose delirium and 32% stated they combined clinical judgment with a standardised tool. 28% of clinicians reported they used The Confusion Assessment Method however, only 13.5% felt it was suitable for stroke patients. Conclusions Screening for delirium is inconsistent in Scottish stroke services and there is uncertainty regarding the suitability of screening tools with stroke patients. As the importance of early identification of delirium on stroke outcomes is articulated in recent publications, validating a screening tool to detect delirium in acute stroke is recommended.