Introduction: Increasing attention is being paid to interventions for cognitive impairment (CI) post-stroke, including for CI that does not meet dementia criteria. The aim of this paper was to conduct a systematic review and meta-analysis of the prevalence of cognitive impairment no dementia (CIND) within one year post-stroke. Patients and methods: Pubmed, EMBASE and PsychInfo were searched for papers published in English in 1995-2017. Included studies were population or hospital-based cohort studies for first-ever/recurrent stroke, assessing CIND using standardised criteria at 1-12 months post-stroke. Abstracts were screened, followed by full text review of potentially relevant articles. Data were extracted using a standard form, and study quality was appraised using the Crowe Critical Appraisal Tool. A pooled prevalence of CIND with 95% confidence intervals (CI) was estimated using random-effects meta-analysis. Heterogeneity was measured using the I 2 statistic. Results: A total of 7000 abstracts were screened, followed by 1028 full text articles. Twenty-three articles were included in the systematic review, and 21 in the meta-analysis. The pooled CIND prevalence was 38% [95% CI ¼ 32-43%] (I 2 ¼92.5%, p < 0.01). Study quality emerged as one source of heterogeneity. The five studies with the highest quality scores had no heterogeneity (I 2 ¼0%, p ¼ 0.99), with a similar pooled prevalence (39%, 95%CI ¼ 35-42%). Other sources of heterogeneity were stroke type, inclusion of pre-stroke CI, and age at assessment time. Discussion and conclusion: Meta-analysis of available studies indicates that in the first year post-stroke, 4 in 10 patients display a level of cognitive impairment that does not meet the criteria for dementia.

Purpose:The cardiac rehabilitation model has potential as an approach to providing rehabilitation following stroke. This review aims to identify evidence for the participation of stroke patients in cardiac/cardiovascular rehabilitation programmes internationally, whether or not such programmes offer a cognitive intervention as part of treatment, and the impact of rehabilitation on post-stroke cognitive function.

Medication nonadherence is associated with adverse health outcomes in older populations. The aim of this study was to develop a model that describes the relationship between the determinants of nonadherence, per the World Health Organization (WHO) model of nonadherence and the necessity–concerns framework (NCF) and nonadherence in a cohort of older community-dwelling patients. A retrospective cohort study of 855 community-dwelling patients aged ≥70 years from 15 practices. Medication nonadherence was assessed by (i) medication possession ratio (MPR < 80%) and (ii) the median MPR across all drugs dispensed. Patient questionnaires, interviews, and medical records measured the determinants of nonadherence per the WHO and NCF frameworks. Confirmatory factor analysis (CFA) was undertaken to generate the model of best fit. Two structural equation models (SEM) were developed to evaluate the relationship between the WHO factors, the NCF, and nonadherence (Model 1: MPR < 80%, Model 2: median MPR). The CFA produced a reasonable fit (χ2(113) = 203, p < .001; root mean square error of approximation = 0.03; comparative fit index = 0.98, and weighted root mean square residual = 0.97) and adequate internal consistency (r = .26–.40). SEM analysis (Model 1) showed a significant direct relationship between patient-related (β = 0.45, p < .01), socioeconomic (β = 0.20, p < .01), and therapy-related factors (β = −0.27, p < .01) and nonadherence (MPR < 80%). Similar results were found for Model 2 (median MPR). There was a significant direct relationship between medication concerns (β = −0.13, p < .01) and nonadherence. Therapy-related (β = −0.04, p < .05) and patient-related factors (β = −0.06, p < .05) also had a significant mediating effect on nonadherence through medication concerns. Health care professionals need to address medication concerns and management of adverse effects in older populations to improve adherence and clinical outcomes.

Introduction: Admission to long-term care (LTC) post-stroke can be a significant source of costs. Studies evaluating the effect of cognitive impairment (CI) and dementia on risk of LTC admission post-stroke have not been systematically reviewed. The aim of this paper was to conduct a systematic review and meta-analysis of studies of the association between post-stroke CI/dementia and admission to LTC. Patients and methods: PubMed, PsycInfo and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases were searched for peer-review articles in English published January 2000-June 2018. Included studies were population-based or hospital-based studies assessing the relationship between CI or dementia, and admission to LTC post-stroke. Abstracts were screened, followed by full-text review of potentially relevant articles. Relevant data was extracted using a standard form and the Crowe Critical Appraisal Tool was used for quality appraisal. Results were pooled using random-effects meta-analysis and heterogeneity was assessed using the I² statistic. Results: 18 articles were included in the review and 12 in a meta-analysis. 14/18 studies adjusted for covariates including functional impairment. Increased odds of admission to LTC was associated with post-stroke CI [Odds Ratio (CI 95%): 2.36 (1.18, 4.71), I²=77%] and post-stroke dementia [Odds Ratio (CI 95%): 2.58 (1.38 to 4.82), I²=60%]. Discussion and conclusion: Post-stroke CI and dementia increase odds of admission to LTC post-stroke, independent of functional impairment. This indicates the potential for interventions that reduce post-stroke CI and dementia to also reduce risk of admission to LTC post-stroke, and ultimately costs.

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