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The Global Code of Conduct for Research in Resource-Poor Settings (GCC) aims to stop the export of unethical research practices from higher to lower income settings. Launched in 2018, the GCC was immediately adopted by European Commission funding streams for application in research that is situated in lower and lower-middle income countries. Other institutions soon followed suit. This article reports on the application of the GCC in two of the first UK-funded projects to implement this new code, one situated in India and one in Pakistan. Through systematic ethics evaluation of both projects, the practical application of the GCC in real-world environments was tested. The findings of this ethics evaluation suggest that while there are challenges for implementation, application of the GCC can promote equity in international research collaborations.

Introduction: Urinary incontinence (UI) affects over half of people with stroke. It is unclear which methods are accurate in assessing presence and type of UI to inform clinical management. Diagnosis of UI based on inaccurate methods may lead to unnecessary interventions. The aims of this systematic review were to identify, for adults with stroke, clinically accurate methods to determine the presence of UI and type of UI. Method: We searched seven electronic databases and additional conference proceedings. To be included, studies had to be primary research comparing two or more methods, or use a reference test. Results: We identified 3846 studies with eight eligible for inclusion. We identified 11 assessment methods within the eight studies. Only five studies had sufficient comparator data for synthesis. Due to heterogeneity of data, results on the following methods were narratively synthesized: Core Lower Urinary Tract Symptom Score (CLSS), clinical history and physical examination, Barthel Activities of Daily Living Index, International Consultation Incontinence Questionnaire Short Form (ICiQ‐SF) and urodynamic studies (UDS). Most studies were small and of low to medium quality. All reported differences in sensitivity, and none compared the same assessment methods. Conclusion: Current evidence is insufficient to support recommendations on the most accurate UI assessment for adults with stroke. Further research is needed. [ABSTRACT FROM AUTHOR]

Dehydration after stroke is associated with poor health outcomes, increased mortality and poses a significant economic burden to health services, yet research suggests that monitoring and assessment of hydration status is not routinely undertaken. This commentary critically appraises a systematic review which aimed to synthesise the existing evidence regarding diagnosis and treatment of dehydration after stroke. The review discusses common measures of dehydration, describes studies evaluating rehydration treatments, and highlights the link between dehydration and poorer health outcomes in both human and animal studies. The reviewers suggest that future research should focus on determining a single, validated, objective measure to clinically diagnose dehydration in stroke patients. Research designs should include clearly defined patient characteristics, type and severity of stroke, and type and time point of dehydration measurement, to enable comparison between studies. Management of hydration status is a crucial element of acute stroke care which should be routinely practiced. Commentary on Bahouth MN, Gottesman RF, Szanton SL. Primary 'dehydration' and acute stroke: a systematic research review. J Neurol. 2018;265(10):2167-2181. 10.1007/s00415-018-8799-6 [ABSTRACT FROM AUTHOR]

Background: There is limited information on long-term outcomes after stroke in sub-Saharan Africa (SSA). Current estimates of case fatality rate (CFR) in SSA are based on small sample sizes with varying study design and report heterogeneous results. Aims: We report CFR and functional outcomes from a large, prospective, longitudinal cohort of stroke patients in Sierra Leone and describe factors associated with mortality and functional outcome. Methods: A prospective longitudinal stroke register was established at both adult tertiary government hospitals in Freetown, Sierra Leone. It recruited all patients ⩾ 18 years with stroke, using the World Health Organization definition, from May 2019 until October 2021. To reduce selection bias onto the register, all investigations were paid by the funder and outreach conducted to raise awareness of the study. Sociodemographic data, National Institute of Health Stroke Scale (NIHSS), and Barthel Index (BI) were collected on all patients on admission, at 7 days, 90 days, 1 year, and 2 years post stroke. Cox proportional hazards models were constructed to identify factors associated with all-cause mortality. A binomial logistic regression model reports odds ratio (OR) for functional independence at 1 year. Results: A total of 986 patients with stroke were included, of which 857 (87%) received neuroimaging. Follow-up rate was 82% at 1 year, missing item data were <1% for most variables. Stroke cases were equally split by sex and mean age was 58.9 (SD: 14.0) years. About 625 (63%) were ischemic, 206 (21%) primary intracerebral hemorrhage, 25 (3%) subarachnoid hemorrhage, and 130 (13%) were of undetermined stroke type. Median NIHSS was 16 (9–24). CFR at 30 days, 90 days, 1 year, and 2 years was 37%, 44%, 49%, and 53%, respectively. Factors associated with increased fatality at any timepoint were male sex (hazard ratio (HR): 1.28 (1.05–1.56)), previous stroke (HR: 1.34 (1.04–1.71)), atrial fibrillation (HR: 1.58(1.06–2.34)), subarachnoid hemorrhage (HR: 2.31 (1.40–3.81)), undetermined stroke type (HR: 3.18 (2.44–4.14)), and in-hospital complications (HR: 1.65 (1.36–1.98)). About 93% of patients were completely independent prior to their stroke, declining to 19% at 1 year after stroke. Functional improvement was most likely to occur between 7 and 90 days post stroke with 35% patients improving, and 13% improving between 90 days to 1 year. Increasing age (OR: 0.97 (0.95–0.99)), previous stroke (OR: 0.50 (0.26–0.98)), NIHSS (OR: 0.89 (0.86–0.91)), undetermined stroke type (OR: 0.18 (0.05–0.62)), and ⩾1 in-hospital complication (OR: 0.52 (0.34–0.80)) were associated with lower OR of functional independence at 1 year. Hypertension (OR: 1.98 (1.14–3.44)) and being the primary breadwinner of the household (OR: 1.59 (1.01–2.49)) were associated with functional independence at 1 year. Conclusion: Stroke affected younger people and resulted in high rates of fatality and functional impairment relative to global averages. Key clinical priorities for reducing fatality include preventing stroke-related complications through evidence-based stroke care, improved detection and management of atrial fibrillation, and increasing coverage of secondary prevention. Further research into care pathways and interventions to encourage care seeking for less severe strokes should be prioritized, including reducing the cost barrier for stroke investigations and care. [ABSTRACT FROM AUTHOR]

Background: The burden of stroke (a leading cause of disability and mortality) in Africa appears to be increasing, but a systematic review of the best available data to support or refute this observation is lacking. Aim: To determine the incidence and 1-month case-fatality rates from high-quality studies of stroke epidemiology among Africans. Summary of review: We searched and retrieved eligible articles on stroke epidemiology among indigenous Africans in bibliographic databases (MEDLINE, ScienceDirect, Google Scholar, and Cochrane library) using predefined search terms from the earliest records through January 2022. Methodological assessment of eligible studies was conducted using the Newcastle–Ottawa scale. Pooling of incidence and case-fatality rates was performed via generalized linear models (Poisson-Normal random-effects model). Of the 922 articles retrieved, 14 studies were eligible for inclusion. The total number of stroke cases was 2568, with a population denominator (total sample size included in population-based registries or those who agreed to participate in door-to-door community studies) of 3,384,102. The pooled crude incidence rate of stroke per 100,000 persons in Africa was 106.49 (95% confidence interval (CI) = 58.59–193.55), I 2 = 99.6%. The point estimate of the crude incidence rate was higher among males, 111.33 (95% CI = 56.31–220.12), I 2 = 99.2%, than females, 91.14 (95% CI = 47.09–176.37), I 2 = 98.9%. One-month case-fatality rate was 24.45 (95% CI = 16.84–35.50), I 2 = 96.8%, with lower estimates among males, 22.68 (95% CI = 18.62–27.63), I 2 = 12.9%, than females, 27.57 (95% CI = 21.47–35.40), I 2 = 51.6%. Conclusion: The burden of stroke in Africa remains very high. However, little is known about the dynamics of stroke epidemiology among Africans due to the dearth of high-quality evidence. Further continent-wide rigorous epidemiological studies and surveillance programs using the World Health Organization STEPwise approach to Surveillance (WHO STEPS) framework are needed. [ABSTRACT FROM AUTHOR]

Background: The intracluster correlation coefficient is a key input parameter for sample size determination in cluster-randomised trials. Sample size is very sensitive to small differences in the intracluster correlation coefficient, so it is vital to have a robust intracluster correlation coefficient estimate. This is often problematic because either a relevant intracluster correlation coefficient estimate is not available or the available estimate is imprecise due to being based on small-scale studies with low numbers of clusters. Misspecification may lead to an underpowered or inefficiently large and potentially unethical trial. Methods: We apply a Bayesian approach to produce an intracluster correlation coefficient estimate and hence propose sample size for a planned cluster-randomised trial of the effectiveness of a systematic voiding programme for post-stroke incontinence. A Bayesian hierarchical model is used to combine intracluster correlation coefficient estimates from other relevant trials making use of the wealth of intracluster correlation coefficient information available in published research. We employ knowledge elicitation process to assess the relevance of each intracluster correlation coefficient estimate to the planned trial setting. The team of expert reviewers assigned relevance weights to each study, and each outcome within the study, hence informing parameters of Bayesian modelling. To measure the performance of experts, agreement and reliability methods were applied. Results: The 34 intracluster correlation coefficient estimates extracted from 16 previously published trials were combined in the Bayesian hierarchical model using aggregated relevance weights elicited from the experts. The intracluster correlation coefficients available from external sources were used to construct a posterior distribution of the targeted intracluster correlation coefficient which was summarised as a posterior median with a 95% credible interval informing researchers about the range of plausible sample size values. The estimated intracluster correlation coefficient determined a sample size of between 450 (25 clusters) and 480 (20 clusters), compared to 500–600 from a classical approach. The use of quantiles, and other parameters, from the estimated posterior distribution is illustrated and the impact on sample size described. Conclusion: Accounting for uncertainty in an unknown intracluster correlation coefficient, trials can be designed with a more robust sample size. The approach presented provides the possibility of incorporating intracluster correlation coefficients from various cluster-randomised trial settings which can differ from the planned study, with the difference being accounted for in the modelling. By using expert knowledge to elicit relevance weights and synthesising the externally available intracluster correlation coefficient estimates, information is used more efficiently than in a classical approach, where the intracluster correlation coefficient estimates tend to be less robust and overly conservative. The intracluster correlation coefficient estimate constructed is likely to produce a smaller sample size on average than the conventional strategy of choosing a conservative intracluster correlation coefficient estimate. This may therefore result in substantial time and resources savings. [ABSTRACT FROM AUTHOR]

Aims and objectives: To explore healthcare staff's experiences of how dehydration is identified and managed in hospitalised patients after acute stroke, and facilitators and challenges to optimising hydration. Background: Optimal hydration post‐stroke reduces the risk of neurological deterioration and other complications. Patients are at risk of dehydration in acute stroke, particularly those with dysphagia. Design: A descriptive qualitative study reported following the COREQ guidelines. Methods: Semi‐structured interviews, utilising patient vignettes, were conducted in 2018 (Apr–Oct) with a purposive sample of 30 multidisciplinary staff members from two UK stroke units. Interviews were digitally recorded and transcribed verbatim. Content analysis identified common themes which were mapped to the Theoretical Domains Framework and the Behaviour Change Wheel. Results: The themes were mapped to twelve of the fourteen domains in the Theoretical Domains Framework. Participants believed that inadequate hydration management had potentially serious consequences, and described complex knowledge, skills and cognitive elements to effective hydration care. Participants felt that maintaining hydration was a multidisciplinary responsibility requiring good communication. Although the performance of initial dysphagia screening was reinforced by external audit, other areas of post‐stroke hydration management were not; notably, there was no established method of assessing hydration. Barriers to maintaining good hydration included lack of staff, out‐of‐hours working patterns, low priority given to hydration, patients' comorbidities and complex post‐stroke disabilities such as dysphagia, aphasia, inattention and hemiparesis. Conclusion: Findings highlighted the importance of assessing and maintaining hydration but identified barriers to, and variation in, clinical practice. To provide optimal care, barriers to the prevention and treatment of dehydration after stroke must be further understood and addressed. Relevance to clinical practice: Multidisciplinary teamwork is important in hydration care after stroke, but clarity is required about the specific contributions of each team member. Without this, hydration care becomes 'everybody's and nobody's job'. [ABSTRACT FROM AUTHOR]

Introduction: Long COVID (LC), the persistent symptoms ≥12 weeks following acute COVID-19, presents major threats to individual and public health across countries, affecting over 1.5 million people in the UK alone. Evidence-based interventions are urgently required and an integrated care pathway approach in pragmatic trials, which include investigations, treatments and rehabilitation for LC, could provide scalable and generalisable solutions at pace. Methods and analysis: This is a pragmatic, multi-centre, cluster-randomised clinical trial of two components of an integrated care pathway (Coverscan™, a multi-organ MRI, and Living with COVID Recovery™, a digitally enabled rehabilitation platform) with a nested, Phase III, open label, platform randomised drug trial in individuals with LC. Cluster randomisation is at level of primary care networks so that integrated care pathway interventions are delivered as "standard of care" in that area. The drug trial randomisation is at individual level and initial arms are rivaroxaban, colchicine, famotidine/loratadine, compared with no drugs, with potential to add in further drug arms. The trial is being carried out in 6–10 LC clinics in the UK and is evaluating the effectiveness of a pathway of care for adults with LC in reducing fatigue and other physical, psychological and functional outcomes at 3 months. The trial also includes an economic evaluation which will be described separately. Ethics and dissemination: The protocol was reviewed by South Central—Berkshire Research Ethics Committee (reference: 21/SC/0416). All participating sites obtained local approvals prior to recruitment. Coverscan™ has UK certification (UKCA 752965). All participants will provide written consent to take part in the trial. The first participant was recruited in July 2022 and interim/final results will be disseminated in 2023, in a plan co-developed with public and patient representatives. The results will be presented at national and international conferences, published in peer reviewed medical journals, and shared via media (mainstream and social) and patient support organisations. Trial registration number: ISRCTN10665760. [ABSTRACT FROM AUTHOR]

Introduction: As mortality rates from COVID-19 disease fall, the high prevalence of long-term sequelae (Long COVID) is becoming increasingly widespread, challenging healthcare systems globally. Traditional pathways of care for Long Term Conditions (LTCs) have tended to be managed by disease-specific specialties, an approach that has been ineffective in delivering care for patients with multi-morbidity. The multi-system nature of Long COVID and its impact on physical and psychological health demands a more effective model of holistic, integrated care. The evolution of integrated care systems (ICSs) in the UK presents an important opportunity to explore areas of mutual benefit to LTC, multi-morbidity and Long COVID care. There may be benefits in comparing and contrasting ICPs for Long COVID with ICPs for other LTCs. Methods and analysis: This study aims to evaluate health services requirements for ICPs for Long COVID and their applicability to other LTCs including multi-morbidity and the overlap with medically not yet explained symptoms (MNYES). The study will follow a Delphi design and involve an expert panel of stakeholders including people with lived experience, as well as clinicians with expertise in Long COVID and other LTCs. Study processes will include expert panel and moderator panel meetings, surveys, and interviews. The Delphi process is part of the overall STIMULATE-ICP programme, aimed at improving integrated care for people with Long COVID. Ethics and dissemination: Ethical approval for this Delphi study has been obtained (Research Governance Board of the University of York) as have approvals for the other STIMULATE-ICP studies. Study outcomes are likely to inform policy for ICPs across LTCs. Results will be disseminated through scientific publication, conference presentation and communications with patients and stakeholders involved in care of other LTCs and Long COVID. Registration: Researchregistry: https://www.researchregistry.com/browse-the-registry#home/registrationdetails/6246bfeeeaaed6001f08dadc/. [ABSTRACT FROM AUTHOR]