Comparison of Oxford Cognitive Screen and Montreal Cognitive Assessment feasibility in the stroke unit setting. A pilot study

Brambilla, Michela; Cerasetti, Martina; Pepe, Fulvio; Pini, Elisa; Pomati, Simone; Magni, Eugenio; Berlingeri, Manuela; Pantoni, Leonardo

doi:10.1016/j.cccb.2021.100021

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…The authors of this study are aware of only three independent evaluations. Firstly, Brambilla et al (2021) reported that only 62% of OCS assessments were completed in their entirety, with stroke patients being unable to complete the executive task 36% of the time. Of note, previous research has established that approximately 25% of stroke patients are deemed either ‘untestable’ or ‘partially untestable’ (Elliott et al, 2019), so this issue is certainly not unique to the OCS.…”

Section: Introductionmentioning

confidence: 99%

Oxford cognitive screen: A critical review and independent psychometric evaluation

Murphy

Cornfield

Higginson

et al. 2023

Journal of Neuropsychology

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The Oxford cognitive screen (OCS) is a stroke‐specific cognitive screening assessment. Although the test developers have provided psychometric information for the assessment, the OCS has received minimal external scrutiny, with which to triangulate the underpinning psychometrics. The purpose of this study is to provide a critical review and independent validation of the OCS. This study analysed data from an anonymised clinical database, which consisted of 316 patients who were assessed using the OCS on an Acute Stroke Unit. The rates of impairment on tests of memory and receptive communication were lower than expectation, suggesting that these subtests may be relatively insensitive. Patients with aphasia were more likely to be unable to categorised as impaired on non‐language tests, suggesting that they remain sensitive to language processing or non‐dominant hand usage. Some of the subtests of the OCS achieve high retest reliability, which makes them good candidates for measuring cognitive change over time. Although the OCS has many advantages, it is also important to adequately consider its limitations, that is insensitivity to memory problems, the potential confounding impact of non‐dominant hand usage, and the potential that some tests may sample overall cognitive ability instead of domain‐specific functioning.

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Section: Introductionmentioning

confidence: 99%

Oxford cognitive screen: A critical review and independent psychometric evaluation

Murphy

Cornfield

Higginson

et al. 2023

Journal of Neuropsychology

View full text Add to dashboard Cite

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Identifying candidates for smartphone monitoring: a cross-sectional and longitudinal analysis of depression phenotypes associated with cerebrovascular disease in UK Biobank (Preprint)

Zawada,

Ganjizadeh,

Conte

et al. 2024

Preprint

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BACKGROUND Interest in using smartphones to monitor depression, a risk factor for cerebrovascular disease (CeVD), has grown rapidly; however, little is known about behavioral phenotypes related to mood and how phenotypes may vary based on symptom severity in patients before CeVD. OBJECTIVE We aimed to examine the relationships between depression frequency and lifestyle factors, able to be captured by smartphone sensors, to assess the feasibility of using smartphones for monitoring mood in incident CeVD cohorts outside of clinical settings. METHODS We retrospectively identified patients who suffered a CeVD after baseline (n = 14,508) and conducted cross-sectional analyses with patients in the UK Biobank (UKBB) observational cohort study at baseline. Longitudinal analyses were performed in those (n = 603) who completed a follow-up. RESULTS In the cross-sectional analysis in diagnosed depression (DDs) and control cohorts, optimal sleep (OR = 0.58-0.71; P < .001) was associated with decreased frequency depressed mood while former/current smoker status (OR = 1.146-1.151; P < .05) and daily screen time (OR = 1.039-1.058; P < .007) were associated with increased frequency. In both cohorts, older age (> 60 y) was protective (OR = 0.52-0.67; P <.001) while social deprivation (OR = 1.041-1.048; P < .002) was linked with higher frequency. Specific to controls, male sex (OR = 0.713; P <.001) and increased daily physical activity duration (OR = 0.989; P = .001) were protective. Longitudinal analysis revealed that older age’s protective effect persisted in controls (OR = 0.552; P = .02). At follow-up, baseline depressed mood frequency (OR = 5.897; P <.001) was associated with increased depressed mood frequency in controls while prolonged daily screen time (OR = 1.379; P <.015) was associated with higher frequency in DDs. Sensitivity analyses stratified by time-to-diagnosis suggest that associations between lifestyle factors and depressed mood in incident CeVD may be transient and time-dependent. CONCLUSIONS Multiple behaviors observable via smartphone sensors are associated with depression in patients before a CeVD diagnosis. Clinicians monitoring this mood phenotype should pay close attention to screen time and sleep duration in at risk patients. For patients at risk of CeVD with no history of depression, screening for depression may provide insights into possible mood changes emergent before CeVD. Given that lifestyle behaviors linked to depression may evolve in the years before a CeVD diagnosis, a robust approach, incorporating both passive and active smartphone sensors, is needed when monitoring patients at risk of CeVD.

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Comparison of Oxford Cognitive Screen and Montreal Cognitive Assessment feasibility in the stroke unit setting. A pilot study

Cited by 2 publications

References 26 publications

Oxford cognitive screen: A critical review and independent psychometric evaluation

Oxford cognitive screen: A critical review and independent psychometric evaluation

Identifying candidates for smartphone monitoring: a cross-sectional and longitudinal analysis of depression phenotypes associated with cerebrovascular disease in UK Biobank (Preprint)

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