A qualitative study investigating the views of stroke survivors and their family members on discussing post-stroke cognitive trajectories.

Cognitive impairment is common early after stroke but trajectories over the long term are variable. Some stroke survivors make a full recovery, while others retain a stable impairment or decline. This study explored the perceived advantages and disadvantages of discussing potential cognitive trajectories with stroke survivors and their family members. Stroke survivors at least six-months post-stroke were purposively sampled from an existing pool of research volunteers recruited originally for the OCS-Recovery study. They were invited, alongside a family member, to participate in a semi-structured interview. Interviews were audio recorded, transcribed, and analyzed using reflexive thematic analysis. Twenty-six stroke survivors and eleven family members participated. We identified one overarching theme and three related subthemes. The overarching theme was: One size does not fit all. The subthemes were: (1) Hearing about potential cognitive trajectories helps to develop realistic expectations; (2) Discussions about cognitive trajectories may be motivating; (3) Cognitive decline and post-stroke dementia discussions may be anxiety-provoking and depressing. Healthcare professionals should adopt a person-centred approach to sharing information about post-stroke cognitive trajectories. Discussions should be tailored to individual needs and preferences, with dementia-related topics in particular addressed with the utmost selectivity and sensitivity.

Artificial intelligence for dementia-Applied models and digital health.

INTRODUCTION: The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as "deep phenotyping" cohorts with multi-omics health data become available. METHODS: This narrative review synthesizes understanding of applied models and digital health technologies, in terms of dementia risk prediction, diagnostic discrimination, prognosis, and progression. Machine learning approaches show evidence of improved predictive power compared to standard clinical risk scores in predicting dementia, and the potential to decompose large numbers of variables into relatively few critical predictors. RESULTS: This review focuses on key areas of emerging promise including: emphasis on easier, more transparent data sharing and cohort access; integration of high-throughput biomarker and electronic health record data into modeling; and progressing beyond the primary prediction of dementia to secondary outcomes, for example, treatment response and physical health. DISCUSSION: Such approaches will benefit also from improvements in remote data measurement, whether cognitive (e.g., online), or naturalistic (e.g., watch-based accelerometry).

Artificial intelligence for dementia prevention.

INTRODUCTION: A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical trial recruitment and drug development. Artificial intelligence (AI) and machine learning (ML) may refine understanding. METHODS: ML approaches are being developed in dementia prevention. We discuss exemplar uses and evaluate the current applications and limitations in the dementia prevention field. RESULTS: Risk-profiling tools may help identify high-risk populations for clinical trials; however, their performance needs improvement. New risk-profiling and trial-recruitment tools underpinned by ML models may be effective in reducing costs and improving future trials. ML can inform drug-repurposing efforts and prioritization of disease-modifying therapeutics. DISCUSSION: ML is not yet widely used but has considerable potential to enhance precision in dementia prevention. HIGHLIGHTS: Artificial intelligence (AI) is not widely used in the dementia prevention field. Risk-profiling tools are not used in clinical practice. Causal insights are needed to understand risk factors over the lifespan. AI will help personalize risk-management tools for dementia prevention. AI could target specific patient groups that will benefit most for clinical trials.

Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review.

INTRODUCTION: Artificial intelligence (AI) and neuroimaging offer new opportunities for diagnosis and prognosis of dementia. METHODS: We systematically reviewed studies reporting AI for neuroimaging in diagnosis and/or prognosis of cognitive neurodegenerative diseases. RESULTS: A total of 255 studies were identified. Most studies relied on the Alzheimer's Disease Neuroimaging Initiative dataset. Algorithmic classifiers were the most commonly used AI method (48%) and discriminative models performed best for differentiating Alzheimer's disease from controls. The accuracy of algorithms varied with the patient cohort, imaging modalities, and stratifiers used. Few studies performed validation in an independent cohort. DISCUSSION: The literature has several methodological limitations including lack of sufficient algorithm development descriptions and standard definitions. We make recommendations to improve model validation including addressing key clinical questions, providing sufficient description of AI methods and validating findings in independent datasets. Collaborative approaches between experts in AI and medicine will help achieve the promising potential of AI tools in practice. HIGHLIGHTS: There has been a rapid expansion in the use of machine learning for diagnosis and prognosis in neurodegenerative disease Most studies (71%) relied on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset with no other individual dataset used more than five times There has been a recent rise in the use of more complex discriminative models (e.g., neural networks) that performed better than other classifiers for classification of AD vs healthy controls We make recommendations to address methodological considerations, addressing key clinical questions, and validation We also make recommendations for the field more broadly to standardize outcome measures, address gaps in the literature, and monitor sources of bias.

Mood and Cognitive Trajectories Over the First Year after Mild Ischemic Stroke.

OBJECTIVES: Cognitive and mood dysfunction are major contributors to post-stroke disability. The longer-term trajectories of mood and cognition post-stroke remain unclear, as do which cognitive domains decline, improve, or remain stable after stroke, and in which patients. We aimed to characterize the cognitive trajectories of mild ischemic stroke survivors over one year compared to stroke-free controls, and to investigate whether symptoms of anxiety and depression were associated with cognitive function. MATERIALS AND METHODS: All participants were tested with a neuropsychological test battery at 3-months and 12-months post-stroke, assessing attention/processing speed, memory, visuospatial function, executive function, and language. Anxiety and depression symptomatology were also assessed at both timepoints. RESULTS: Stroke participants (N=126, mean age 68.44 years ±11.83, 87 males, median [Q1, Q3] admission NIHSS=2 [1, 4]) performed worse on cognitive tests and endorsed significantly higher depression and anxiety symptomatology than controls (N=40, mean age=68.82 years ±6.33, 25 males) at both timepoints. Mood scores were not correlated with cognitive performance. Stroke participants' scores trended higher across cognitive domains from 3- to 12-months but statistically significant improvement was only observed on executive function tasks. CONCLUSION: Stroke participants performed significantly worse than controls on all cognitive domains following mild ischemic stroke. Stroke participants only exhibited statistically significant improvement on executive function tasks between 3- and 12- months. Whilst anxiety and depression symptoms were higher in stroke participants, this was not correlated with cognitive performance. Further studies are needed to understand factors underlying cognitive recovery and decline after stroke.

Informing Patients with Acute Stroke About their Risk of Dementia: A Survey of UK Healthcare Professionals.

OBJECTIVES: Cognitive problems following stroke are of key concern to stroke survivors. Discussing risk of dementia at the time of stroke could have implications for follow-up care. However, informing someone who has just had a stroke about risk of dementia could cause distress. This survey explored healthcare professionals' views on discussing risk of post-stroke dementia at the time of stroke. MATERIALS AND METHODS: This online survey was aimed at all UK healthcare professionals who care for patients with stroke. The survey was distributed via the mailing lists of seven professional stroke-related organisations and Twitter. Descriptive statistics were used to summarise findings. RESULTS: Sixty healthcare professionals completed the survey. Healthcare professionals were aware of the main risk factors associated with post-stroke dementia (e.g. previous stroke, age). Most respondents (N=34/60, 57%) thought that patients with acute stroke would benefit from knowing if they are at high risk of dementia, and 75% (N=45/60) agreed that carers would benefit. Despite this, the majority of healthcare professionals (N=47/53, 89%) who cared for patients with acute stroke in the past year said they rarely/never discussed dementia with their patients. Most respondents (N=46/60, 77%) thought risk of dementia should be discussed 1-6 months post-stroke. CONCLUSION: Although healthcare professionals felt it would be helpful to discuss risk of post-stroke dementia, in practice, most said that they rarely or never discussed this with their patients. Stroke survivors could benefit from a healthcare system that offers appropriate follow-up care and support to patients at high risk of dementia.

Psychometric properties of the Utrecht Work Engagement Scale for Students (UWES-S) in the Taiwanese context.

Academic engagement in recent years has become the focus of determining student learning and achievement. However,despite this growing awareness that has revolutionized academic policies and educational approaches, literature on engagement in the academic context is still in its infancy. This study seeks to remedy this through the confirmation of the Utrecht Work Engagement Scale for Students' (UWES-S) promising psychometric properties and by providing empirical evidence on the relationship between academic engagement, personality traits, and social media addiction, a determinant that has yet to be explored. Our findings indicate that of the five personality traits analyzed, agreeableness had the strongest negative correlation with academic engagement, and perhaps equally as striking is the positive, albeit insignificant, association between social media and academic engagement. Furthermore, the most informative and least informative items for academic engagement were identified using IRT analysis. Finally, this study also addresses several gaps in the literature by determining that the one-factor construct of the UWES-S is an adequate measure of academic engagement compared to its three-factor counterpart and by demonstrating the measurement invariance of the UWES-S across gender, class year, and academic major in our sample of Taiwanese undergraduates.

Assessing the Predictive Validity of Simple Dementia Risk Models in Harmonized Stroke Cohorts.

BACKGROUND AND PURPOSE: Stroke is associated with an increased risk of dementia. To assist in the early identification of individuals at high risk of future dementia, numerous prediction models have been developed for use in the general population. However, it is not known whether such models also provide accurate predictions among stroke patients. Therefore, the aim of this study was to determine whether existing dementia risk prediction models that were developed for use in the general population can also be applied to individuals with a history of stroke to predict poststroke dementia with equivalent predictive validity. METHODS: Data were harmonized from 4 stroke studies (follow-up range, ≈12-18 months poststroke) from Hong Kong, the United States, the Netherlands, and France. Regression analysis was used to test 3 risk prediction models: the Cardiovascular Risk Factors, Aging and Dementia score, the Australian National University Alzheimer Disease Risk Index, and the Brief Dementia Screening Indicator. Model performance or discrimination accuracy was assessed using the C statistic or area under the curve. Calibration was tested using the Grønnesby and Borgan and the goodness-of-fit tests. RESULTS: The predictive accuracy of the models varied but was generally low compared with the original development cohorts, with the Australian National University Alzheimer Disease Risk Index (C-statistic, 0.66) and the Brief Dementia Screening Indicator (C-statistic, 0.61) both performing better than the Cardiovascular Risk Factors, Aging and Dementia score (area under the curve, 0.53). CONCLUSIONS: Dementia risk prediction models developed for the general population do not perform well in individuals with stroke. Their poor performance could have been due to the need for additional or different predictors related to stroke and vascular risk factors or methodological differences across studies (eg, length of follow-up, age distribution). Future work is needed to develop simple and cost-effective risk prediction models specific to poststroke dementia.

Obstacles to Variational Quantum Optimization from Symmetry Protection.

The quantum approximate optimization algorithm (QAOA) employs variational states generated by a parameterized quantum circuit to maximize the expected value of a Hamiltonian encoding a classical cost function. Whether or not the QAOA can outperform classical algorithms in some tasks is an actively debated question. Our work exposes fundamental limitations of the QAOA resulting from the symmetry and the locality of variational states. A surprising consequence of our results is that the classical Goemans-Williamson algorithm outperforms the QAOA for certain instances of MaxCut, at any constant level. To overcome these limitations, we propose a nonlocal version of the QAOA and give numerical evidence that it significantly outperforms the standard QAOA for frustrated Ising models.

Care priorities for stroke patients developing cognitive difficulties: a Delphi survey of UK professional views.

BACKGROUND: Post stroke cognitive difficulties are common but generally prioritised below other impairments. In the UK, clinical guidelines recommend a holistic review at six-months post-stroke including an assessment of cognitive function. In order to assist clinicians to provide better care for patients with post-stroke cognitive deficits and assist with service planning, our aim was to establish professional consensus on key actions at the six-month review. METHODS: An electronic Delphi survey was developed with ten potential actions for clinicians to prioritise across five different clinical scenarios describing patients with cognitive difficulties. Scenarios varied in terms of age of the stroke-survivor, stroke severity and use of dementia risk assessment. A panel of professional volunteers was obtained through the British Association of Stroke Physicians and the UK National Stroke Nursing Forum. RESULTS: Forty-five stroke clinicians completed round one, with 21 participants completing round two. Priorities consistently supported by professionals included access to psychological services, screening for a mood disorder and ensuring multi-professional input. Direct access to specialist memory services was not generally supported unless a dementia risk assessment tool indicated that the individual was at high risk of dementia. CONCLUSIONS: Assessment of post-stroke cognitive deficits needs to be routinely considered during the six-month review. A formal risk assessment tool could be a way to streamline direct access to memory clinic services to ensure that individuals at-risk of dementia receive ongoing care.

Post-stroke memory deficits and barriers to seeking help: views of patients and carers.

BACKGROUND: Memory and cognitive deficits post stroke are common and associated with increased risk of future dementia. Rehabilitation tends to focus on physical recovery; however, once in the community, it is unclear what happens in the longer term to the stroke-survivor with new memory difficulties. OBJECTIVE: The aim of this qualitative study was to examine in stroke-survivors what factors influence contact with health professionals. METHOD: Semi-structured interviews were conducted with stroke-survivors and their family carers where memory difficulties were reported at 6 months post stroke. A topic guide was used which sought to critically examine participants care experience following their stroke diagnosis. All participants were interviewed at baseline (around 6 months post stroke) and offered an interview at around 12 months post stroke. All interviews were conducted in the North East of England. All transcripts were coded and thematically analysed. RESULTS: Ten stroke-survivors (age range 72-84 years) were interviewed alongside five carers at baseline; eight stroke-survivors and four carers agreed to a follow-up interview. Three main barriers were identified: (i) fear of a dementia diagnosis; (ii) denial or minimization of symptoms leading to adaptation and (iii) obstacles to seeking help in the community. CONCLUSIONS: With an ageing population and increase in stroke-survival, the burden of post-stroke cognitive impairment and dementia will only increase. Stroke-survivors and their family carers in this study have identified issues that may hinder their presentation to health care professionals at a personal and organizational level. Health professionals need to be aware of these potential issues when planning services for stroke-survivors.

International exchanges in primary care-learning from thy neighbour.

This systematic review describes how international exchange programmes in primary care have been received and evaluated. Electronic databases (MEDLINE, Embase, PsycINFO, EBM reviews, CAB abstracts and PubMED) were searched to identify articles where the main focus of the study was exchanges undertaken in primary care/family medicine until March 2016. Articles were included if they (i) discussed participant exchanges in primary care; (ii) presented associated outcome data-this included (a) individual/group experience of exchange; (b) mechanism of exchange and (c) observations during the exchange. A narrative synthesis was performed of the heterogeneous data identified. Twenty-nine studies were included. Exchange locations varied across the world with the largest number in Europe. Participants came from a range of backgrounds including medical students, nurses, General Practitioners (GP), GP trainees (GPTs) and visiting scholars/professors. Exchange duration ranged from 3 days to 2 years. Key themes were identified from analysis of the studies with illustrative quotes from the included studies provided. Four key areas were discussed in relation to exchange experience: learning opportunities and new knowledge; comparative observation; knowledge gained and translational learning. Primary care international exchanges provide a rich source of cross-country learning. This review identified that exchange participants benefit both personally and professionally, equipping them with translatable skills to improve the care provided to their patients.

Attitudes to diagnosis and management in dementia care: views of future general practitioners.

Considerable international governmental support is focused on the timely diagnosis of dementia and post-diagnostic care of people with dementia. Identifying those at high risk of dementia is one approach to timely diagnosis. General practitioners (GPs) are well-placed clinicians in the community to provide both pre- and post-diagnostic dementia care. However, GPs have in the past consistently demonstrated low confidence in both diagnosing dementia and providing care for these complex patients particularly for patients in the post-diagnostic phase. It is currently unclear how future GPs view dementia care. We aimed to evaluate the current attitudes and experiences of future GPs in dementia care and their views on targeting high risk groups. All (n = 513) GP trainees were approached by email to participate in a cross-sectional web and paper-based survey in the North of England. A further reminder was sent out two months after the initial invitation. We received 153 responses (29.8% response rate, 66.7% female, average age 31 (range 25-55 years old). The main difficulties encountered included coordinating supporting services for carers and the person with dementia and responding to co-existing behavioral and psychiatric symptoms. Further education in dementia management was considered to be important by respondents. GP trainees were generally very positive about their future role in caring for people with dementia, particularly in the area of earlier diagnosis via identification of high-risk individuals. Future GPs in one area of England are very positive about their key role in dementia care. In order to facilitate the delivery of high quality, community-based care, work is required to establish core post-diagnostic dementia support services. Further research is needed to identify effective systems to enable accurate assessment and to ensure earlier diagnosis in high-risk groups.

'The best laid schemes o' mice an' men': a workshop to teach the application of evidence based medicine in low- and middle-income countries.

Background Evidence-Based Medicine (EBM) is often an ideal, with beginnings in positivist science. More recent relativism, rights and ethics have challenged a binary view of EBM. Medical volunteering is a paradigm as GPs and trainees often run EBM projects in low- and middle-income countries (LMICs), which require significant contextual adaptation. We created a workshop to enable GPs and GP trainees to reflect on and plan for the factors important in the application of EBM in LMICs. We describe the first running at the 21st WONCA Europe Conference. Aim To enable GPs/trainees to plan for various factors when applying EBM in LMICs in order to promote mutual gains. Method A 75-min workshop with GPs/trainees was conducted using a variety of methods including didacticism, before and after brainstorming, vignettes, voting, role-play and feedback. Key-points highlighted were ethics, economics, politics, culture and relationships. Results Feedback was positive with recommendations to offer the workshop to all GPs/trainees. Lessons learnt were broad-ranging and important. Conclusion/Recommendation This is an effective workshop. More work is needed to bridge the 'EBM gap' in LMICs from both volunteers and recipients. This workshop should be extended to all high-income countries for all health professionals to undertake before medical placements abroad.

Exploring dementia management attitudes in primary care: a key informant survey to primary care physicians in 25 European countries.

BACKGROUND: Strategies for the involvement of primary care in the management of patients with presumed or diagnosed dementia are heterogeneous across Europe. We wanted to explore attitudes of primary care physicians (PCPs) when managing dementia: (i) the most popular cognitive tests, (ii) who had the right to initiate or continue cholinesterase inhibitor or memantine treatment, and (iii) the relationship between the permissiveness of these rules/guidelines and PCP's approach in the dementia investigations and assessment. METHODS: Key informant survey. SETTING: Primary care practices across 25 European countries. SUBJECTS: Four hundred forty-five PCPs responded to a self-administered questionnaire. Two-step cluster analysis was performed using characteristics of the informants and the responses to the survey. MAIN OUTCOME MEASURES: Two by two contingency tables with odds ratios and 95% confidence intervals were used to assess the association between categorical variables. A multinomial logistic regression model was used to assess the association of multiple variables (age class, gender, and perceived prescription rules) with the PCPs' attitude of "trying to establish a diagnosis of dementia on their own." RESULTS: Discrepancies between rules/guidelines and attitudes to dementia management was found in many countries. There was a strong association between the authorization to prescribe dementia drugs and pursuing dementia diagnostic work-up (odds ratio, 3.45; 95% CI 2.28-5.23). CONCLUSIONS: Differing regulations about who does what in dementia management seemed to affect PCP's engagement in dementia investigations and assessment. PCPs who were allowed to prescribe dementia drugs also claimed higher engagement in dementia work-up than PCPs who were not allowed to prescribe.

Gaps in care for patients with memory deficits after stroke: views of healthcare providers.

BACKGROUND: Stroke is a common cause of physical disability but is also strongly associated with cognitive impairment and a risk for future dementia. Despite national clinical guidelines, the service provided for stroke survivors with cognitive and memory difficulties varies across localities. This study critically evaluated the views of healthcare professionals about barriers and facilitators to their care. METHODS: Seventeen semi-structured individual interviews were conducted by a single interviewer with both primary and secondary care clinicians in regular contact with stroke-survivors. This included stroke medicine specialists, specialist nurses, physiotherapists, occupational therapists, general practitioners and primary care nurses. Topics included individual experiences of the current care offered to patients with cognitive impairment, assessment processes and inter-professional communication. Interviews were audio recorded and transcribed verbatim. Transcripts were thematically analysed and themes grouped into broad categories to facilitate interpretation. RESULTS: Data analysis identified four key themes as barriers to optimal care for stroke-survivors with memory difficulties: 1) Less focus on memory and cognition in post-stroke care; 2) Difficulties bringing up memory and cognitive problems post-stroke; 3) Lack of clarity in current services; and, 4) Assumptions made by healthcare professionals introducing gaps in care. Facilitators included stronger links between primary and secondary care in addition to information provision at all stages of care. CONCLUSIONS: The care provided by stroke services is dominated by physical impairments. Clinicians are unsure who should take responsibility for follow-up of patients with cognitive problems. This is made even more difficult by the lack of experience in assessment and stigma surrounding potential diagnoses associated with these deficits. Service development should focus on increased cohesiveness between hospital and community care to create a clear care pathway for post-stroke cognitive impairment.

The value of European exchange programs for early career family doctors.

The Hippokrates Exchange programme (HEP) is designed to give early career General Practitioners (Associates in Training (AITs)/First5s) first-hand experience into concepts of a primary healthcare system outside of their host country. The aim is to improve GP knowledge and skills, inspire professional development and promote a global approach to primary care. Although an increasing number are taking up this opportunity, their views and experiences of international exchanges are not well described. The aim of the study was to explore the experiences of AITs/First5s following their HEP exchanges. This qualitative study analysed 16 post-exchange reports of UK participants visiting 10 European countries via the HEP, using a thematic approach. Participants were unanimously positive about their exchange experiences. The themes that emerged were (1) Comparison of primary care practice (2) Infrastructure of host primary care (3) Motivation and experience of exchanges and (4) Learning and reflection. Participants displayed considerable benefits from these exchanges by broadening their experience in different primary care systems and identifying improvements to be incorporated into their UK practice.

A Systematic Review of the Definitions of Vascular Cognitive Impairment, No Dementia in Cohort Studies.

BACKGROUND/AIMS: No set operational criteria for vascular cognitive impairment, no dementia (VCI-ND) have yet been established. The aim of this study is to undertake a systematic review to compare definitions of VCI-ND that have been used in cohort studies. METHODS: Medline, PsycINFO and Embase were searched from inception to October 13, 2015. Initially, 3,142 records were screened, and 30 were included in this review. RESULTS: No single set of criteria for defining VCI-ND was identified. VCI-ND was broadly defined as an absence of dementia, cognitive impairment in at least one cognitive domain with signs of vascular involvement, and intact activities of daily living. CONCLUSION: Defining criteria will enable individuals with VCI-ND to be efficiently compared across cohort studies to more accurately determine the prevalence and risk of dementia.

Generation of an induced pluripotent stem cell line (UMi043-A) from an African American patient with Alzheimer's disease carrying an ABCA7 deletion (p.Arg578Alafs).

The ATP-binding cassette, subfamily A (ABC1), member 7 (ABCA7) gene is associated with Alzheimer's disease (AD) risk in populations of African, Asian, and European ancestry1-5. Numerous ABCA7 mutations contributing to risk have been identified, including a 44 base pair deletion (rs142076058) specific to individuals of African ancestry and predicted to cause a frameshift mutation (p.Arg578Alafs) (Cukier et al., 2016). The UMi043-A human induced pluripotent stem cell line was derived from an African American individual with AD who is heterozygous for this deletion and is a resource to further investigate ABCA7 and how this African-specific deletion may influence disease pathology.

Cognitive assessment after stroke: A qualitative study of patients' experiences.

OBJECTIVES: Clinical guidelines recommend early cognitive assessment after stroke to inform rehabilitation and discharge decisions. However, little is known about stroke survivors' experiences of the cognitive assessment process. This qualitative study aimed to explore patients' experiences of poststroke cognitive assessments. DESIGN: Stroke survivors were purposively sampled in an iterative process through a pool of research volunteers who had previously taken part in the Oxford Cognitive Screen Recovery study. Stroke survivors and their family caregivers were invited to participate in a semistructured interview steered by a topic guide. Interviews were audio recorded, transcribed and analysed using reflexive thematic analysis. Demographic, clinical and cognitive data were acquired from patients' previous research data. SETTING: Stroke survivors were originally recruited from the acute inpatient unit at Oxford University Hospital (John Radcliffe), UK. Participants were interviewed after discharge either at their homes or via telephone or videocall. PARTICIPANTS: Twenty-six stroke survivors and eleven caregivers participated in semi-structured interviews. RESULTS: We identified three key phases of the cognitive assessment process and themes pertaining to each phase. The phases (numbered) and themes (lettered) were as follows: (1) before the cognitive assessment: (A) lack of explanation, (B) considering the assessment useless; (2) during the cognitive assessment: varied emotional responses, moderated by (D) perception of the purpose behind cognitive assessment, (E) perception of cognitive impairment, (F) confidence in cognitive abilities, (G) assessment administration style and (3) after the cognitive assessment: (H) feedback can impact self-confidence and self-efficacy, (I) vague feedback and clinical jargon are unhelpful. CONCLUSIONS: Stroke survivors require clear explanations about the purpose and outcomes of poststroke cognitive assessments, including constructive feedback, to promote engagement with the process and protect their psychological wellbeing.