Summary Background Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characterise the effect of the top modifiable risk factors for stroke in sub-Saharan Africa. Methods The Stroke Investigative Research and Educational Network (SIREN) study is a multicentre, case-control study done at 15 sites in Nigeria and Ghana. Cases were adults (aged ≥18 years) with stroke confirmed by CT or MRI. Controls were age-matched and gender-matched stroke-free adults (aged ≥18 years) recruited from the communities in catchment areas of cases. Comprehensive assessment for vascular, lifestyle, and psychosocial factors was done using standard instruments. We used conditional logistic regression to estimate odds ratios (ORs) and population-attributable risks (PARs) with 95% CIs. Findings Between Aug 28, 2014, and June 15, 2017, we enrolled 2118 case-control pairs (1192 [56%] men) with mean ages of 59.0 years (SD 13.8) for cases and 57.8 years (13.7) for controls. 1430 (68%) had ischaemic stoke, 682 (32%) had haemorrhagic stroke, and six (<1%) had discrete ischaemic and haemorrhagic lesions. 98.2% (95% CI 97.2–99.0) of adjusted PAR of stroke was associated with 11 potentially modifiable risk factors with ORs and PARs in descending order of PAR of 19.36 (95% CI 12.11–30.93) and 90.8% (95% CI 87.9–93.7) for hypertension, 1.85 (1.44–2.38) and 35.8% (25.3–46.2) for dyslipidaemia, 1.59 (1.19–2.13) and 31.1% (13.3–48.9) for regular meat consumption, 1.48 (1.13–1.94) and 26.5% (12.9–40.2) for elevated waist-to-hip ratio, 2.58 (1.98–3.37) and 22.1% (17.8–26.4) for diabetes, 2.43 (1.81–3.26) and 18.2% (14.1–22.3) for low green leafy vegetable consumption, 1.89 (1.40–2.54) and 11.6% (6.6–16.7) for stress, 2.14 (1.34–3.43) and 5.3% (3.3–7.3) for added salt at the table, 1.65 (1.09–2.49) and 4.3% (0.6–7.9) for cardiac disease, 2.13 (1.12–4.05) and 2.4% (0.7–4.1) for physical inactivity, and 4.42 (1.75–11.16) and 2.3% (1.5–3.1) for current cigarette smoking. Ten of these factors were associated with ischaemic stroke and six with haemorrhagic stroke occurrence. Interpretation Implementation of interventions targeting these leading risk factors at the population level should substantially curtail the burden of stroke among Africans. Funding National Institutes of Health.

Background Disability-adjusted life-years lost after stroke in Low & Middle-Income Countries (LMICs) is almost seven times those lost in High-income countries. Although individuals living with chronic neurological and mental disorders are prone to stigma, there is a striking paucity of literature on stroke-related stigma particularly from LMICs. Objective To assess the prevalence, severity, determinants and psychosocial consequences of stigma among LMIC stroke survivors. Methods Between November 2015 and February 2016, we conducted a cross-sectional survey of 200 consecutive stroke survivors attending a neurology clinic in a tertiary medical center in Ghana. The validated 8-Item Stigma Scale for Chronic Illness (SSCI-8) questionnaire was administered to study participants to assess internalized and enacted domains of stigma at the personal dimension with further adaptation to capture family and community stigma experienced by stroke participants. Responses on the SSCI-8 were scored from 1–5 for each item, where 1=never, 2=rarely, 3=sometimes, 4=often and 5=always with a score range of 8–40. Demographic and clinical data on stroke type and severity as well as depression and health-related quality of life indicators were also collected. Predictors of stroke-related stigma were assessed using Linear Models (GLM) via Proc GENMOD in SAS 9.4. Results 105 (52.5%) subjects recruited were males and the mean ± SD age of stroke survivors in this survey was 62.0 ± 14.4 years. Mean SSCI-8 score was highest for personal stigma (13.7 ± 5.7), which was significantly higher than family stigma (11.9 ± 4.6; p=0.0005) and social/community stigma (11.4 ± 4.4; p<0.0001). Approximately 80% of the cohort reported experiencing mild-to-moderate degrees of stigma. A graded increase in scores on the Geriatric Depression Scale and Centre for Epidemiological Studies-Depression scale was observed across the three categories. Living in an urban setting was associated with higher SSCI-8 scores. Moreover, stroke subjects with more severe post-stroke residual symptom deficits reported a significantly higher frequency of stigma. Conclusion Four out of five stroke survivors in this Ghanaian cohort reported experiencing some form of stigma. Stigmatized individuals were also more likely to be depressed and have lower levels of quality of life. Further studies are required to assess the consequences of stigma from stroke in LMIC.

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BackgroundHypertension is the premier modifiable risk factor for recurrent stroke. In sub-Saharan Africa (SSA) where the stroke burden is escalating, little is known about the role of behavioral interventions in enhancing blood pressure (BP) control after stroke.Our objective is to test whether an m-Health technology-enabled, nurse-led, multilevel integrated approach is effective in improving BP control among Ghanaian stroke patients within 1 month of symptom onset compared with standard of care.MethodsThis two-arm cluster randomized controlled feasibility pilot trial will involve 60 recent-stroke survivors. Using a computer-generated sequence, patients will be randomly allocated into four clusters of 15 patients each per physician: two clusters in the intervention arm and two in the control arm. Patients in the intervention arm will receive a simple pillbox, a Blue-toothed UA-767Plus BT BP device and smartphone for monitoring and reporting BP measurements and medication intake under nurse guidance for 3 months. Tailored motivational text messages will be delivered based upon levels of adherence to the medication intake. Both groups will be followed up for 6 months to compare BP control at months 3, 6 and 9 as primary outcome measure. Physicians assessing BP control will be blinded to arms into which patients are allocated. Secondary outcome measures will include medication adherence scores and Competence and Autonomous Self-regulation Scale scores. A qualitative study is planned after follow-up to explore the lived experiences of participants in the intervention arm.DiscussionA feasible and preliminarily effective intervention would lead to a larger more definitive efficacy/effectiveness randomized controlled trial powered to look at clinical events, with the potential to reduce stroke-related morbidity and mortality in a low- to middle-income country.Trial registrationClinicalTrials.gov Identifier: NCT02568137, registered on 13 July 2015.Electronic supplementary materialThe online version of this article (doi:10.1186/s13063-016-1557-0) contains supplementary material, which is available to authorized users.