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Abstract Background Despite advancements in acute stroke care, acute stroke patients present late for care resulting in high mortality and poor functional outcomes. This study determined the prevalence of pre-hospital delay and associated factors among adult acute stroke patients in Uganda. Methods In a hospital based, cross-sectional study, one hundred and forty-three study participants with confirmed acute stroke presenting to the emergency units of Mulago and Kiruddu national referral hospitals were enrolled. Using an interviewer-administered questionnaire, details on sociodemographics, onset of stroke, arrival at the tertiary facility, health system and clinical factors were collected. Descriptive statistics and modified Poisson regression analyses were performed to determine factors associated with prehospital delay. Results Among the 143 study participants, nearly two-thirds (79/146) had ischemic stroke while a third (59/143) had haemorrhagic stroke. The mean age was 59 years (SD 16) and 51.7% of acute stroke patients were males. Ninety one percent (130/143) presented to the emergency unit after 3 hours. The majority (124/143) reported visiting lower-level facilities prior to referral to the tertiary facility. Staying outside Kampala district (PR: 1.28 (1.22–1.34), p

Abstract Background Little is known about the characteristics and determinants of post-stroke cognitive impairment in residents of low- and middle-income countries. The objective of this study was to determine the frequencies, patterns, and risk factors for cognitive impairment in a cross-sectional study of consecutive stroke patients cared for at Uganda’s Mulago Hospital, located in sub-Saharan Africa. Methods 131 patients were enrolled a minimum of 3-months after hospital admission for stroke. A questionnaire, clinical examination findings, and laboratory test results were used to collect demographic information and data on vascular risk factors and clinical characteristics. Independent predictor variables associated with cognitive impairment were ascertained. Stroke impairments, disability, and handicap were assessed using the National Institute of Health Stroke Scale (NIHSS), Barthel Index (BI), and modified Rankin scale (mRS), respectively. The Montreal Cognitive Assessment (MoCA) was used to assess participants’ cognitive function. Stepwise multiple logistic regression was used to identify variables independently associated with cognitive impairment. Results The overall mean MoCA score was 11.7-points (range 0.0–28.0-points) for 128 patients with available data of whom 66.4% were categorized as cognitively impaired (MoCA

Abstract Background Stroke is the second leading cause of death above the age of 60 years, and the fifth leading cause in people aged 15 to 59 years old as reported by the World Health Organization global burden of diseases. Stroke in the young is particularly tragic because of the potential to create long-term disability, burden on the victims, their families, and the community at large. Despite this, there is limited data on stroke in young adults, and its risk factors in Uganda. Therefore, we determined the frequency and risk factors for stroke among young adults at Mulago hospital. Methods A case control study was conducted among patients presenting consecutively to the general medical wards with stroke during the study period September 2015 to March 2016. A brain Computerized Tomography scan was performed to confirm stroke and classify the stroke subtype. Controls were patients that presented to the surgical outpatient clinic with minor surgical conditions, matched for age and sex. Social demographic, clinical and laboratory characteristics were assessed for both cases and controls. Descriptive statistics including frequencies, percentages, means, and standard deviation were used to describe the social demographics of case and controls as well as the stroke types for cases. To determine risk factors for stroke, a conditional logistic regression, which accounts for matching (e.g., age and sex), was applied. Odds ratio (with 95% confidence interval) was used as a measure for associations. Results Among 51 patients with stroke, 39(76.5%) had ischemic stroke and 12(23.5%) had hemorrhagic stroke. The mean age was 36.8 years (SD 7.4) for stroke patients (cases) and 36.8 years (SD 6.9) for controls. Female patients predominated in both groups 56.9% in cases and 52.9% in controls. Risk factors noted were HIV infection, OR 3.57 (95% CI 1.16–10.96), elevated waist to hip ratio, OR 11.59(95% CI 1.98–68.24) and sickle cell disease, OR 4.68 (95% CI 1.11–19.70). This study found a protective effect of oral contraceptive use for stroke OR 0.27 95% CI 0.08–0.87. There was no association between stroke and hypertension, diabetes, and hyperlipidemia. Conclusion Among young adults with stroke, ischemic stroke predominated over hemorrhagic stroke. Risk factors for stroke were HIV infection, elevated waist to hip ratio and sickle cell disease.

Abstract Background Epilepsy is a common neurological disease with substantial impact on the subject and their caretakers. This exploratory study identified barriers to care for persons living with epilepsy (PLWE) to develop a culturally acceptable nurse led self-management intervention for PLWE previously developed in the United States. Methods The study involving 48 participants (31 PLWE and 17 caregivers) with in depth interviews and focus groups was conducted. We obtained insights into barriers to care in PLWE and their caregivers. Using a thematic analytic procedure emphasizing the dominant themes the qualitative responses were analyzed. Median age of PLWE was 24 years (IQR 19–30), and10 (52.6%) were male. The median age of epilepsy onset was 12 years (IQR 6–18), range of 1–37 years. The median age of caregivers was 50 years (IQR 45–50.5), with a range of 18–78 years. Seventy five percent of caregivers (6/8) were females. Results Three major areas of perceived barriers involving individual, family or community and provider and healthcare system barriers to epilepsy care emerged. Individual factors like limited epilepsy knowledge and medication non-adherence were reported to be key barriers to epilepsy care. Caregiver burden and lack of family support as well as poor health care access were identified from the family and health care systems. Conclusions The main barrier to epilepsy care is limited epilepsy knowledge in PLWE and their caregivers. Improving epilepsy care awareness and knowledge within communities and appropriate health care provider service for epilepsy would help reduce epilepsy barriers and improve care.