Focused cardiac ultrasound: Competency among pre-internship medical officers in diagnosing cardiac causes of dyspnea.

BACKGROUND: Differentiating cardiovascular causes of dyspnea in resource-limited healthcare settings can be challenging. The use of easy-to-train, point-of-care, focused cardiac ultrasound (FoCUS) protocols may potentially alleviate this challenge. RESEARCH QUESTION: Can novices attain competency in FoCUS use after training using the cardiac ultrasound for resource-limited settings (CURLS) protocol? METHODS: A quasi-experimental study was conducted at the Kenyatta National Hospital in Nairobi, Kenya. Forty-five graduate medical pre-interns, novices in cardiac ultrasound, received simulated didactic and hands-on FoCUS skills training using the CURLS protocol and 2018 European Association of Cardiovascular Imaging (EACVI) FoCUS training and competence assessment recommendations. Competency was assessed in image interpretation, image acquisition, and image quality. RESULTS: Aggregate image interpretation competency was attained by n = 38 (84%) of trainees with a median score of 80%. The proportion of trainees attaining category-specific image interpretation competency was as follows: pericardial effusion n = 44 (98%), left atrial enlargement n = 40 (89%), cardiomyopathy n = 38 (84%), left ventricular hypertrophy n = 37 (82%), and right ventricular enlargement n = 29 (64%). Image acquisition skills competency was attained by n = 36 (80%) of trainees. Three-quarters of trainee-obtained images were of good quality. CONCLUSION: Majority of the trainees attained competency. Training constraints limit the generalizability of our findings.

Prevalence of all epilepsies in urban informal settlements in Nairobi, Kenya: a two-stage population-based study.

BACKGROUND: WHO estimates that more than 50 million people worldwide have epilepsy and 80% of cases are in low-income and middle-income countries. Most studies in Africa have focused on active convulsive epilepsy in rural areas, but there are few data in urban settings. We aimed to estimate the prevalence and spatial distribution of all epilepsies in two urban informal settlements in Nairobi, Kenya. METHODS: We did a two-stage population-based cross-sectional study of residents in a demographic surveillance system covering two informal settlements in Nairobi, Kenya (Korogocho and Viwandani). Stage 1 screened all household members using a validated epilepsy screening questionnaire to detect possible cases. In stage 2, those identified with possible seizures and a proportion of those screening negative were invited to local clinics for clinical and neurological assessments by a neurologist. Seizures were classified following the International League Against Epilepsy recommendations. We adjusted for attrition between the two stages using multiple imputations and for sensitivity by dividing estimates by the sensitivity value of the screening tool. Complementary log-log regression was used to assess prevalence differences by participant socio-demographics. FINDINGS: A total of 56 425 individuals were screened during stage 1 (between Sept 17 and Dec 23, 2021) during which 1126 were classified as potential epilepsy cases. A total of 873 were assessed by a neurologist in stage 2 (between April 12 and Aug 6, 2022) during which 528 were confirmed as epilepsy cases. 253 potential cases were not assessed by a neurologist due to attrition. 30 179 (53·5%) of the 56 425 individuals were male and 26 246 (46·5%) were female. The median age was 24 years (IQR 11-35). Attrition-adjusted and sensitivity-adjusted prevalence for all types of epilepsy was 11·9 cases per 1000 people (95% CI 11·0-12·8), convulsive epilepsy was 8·7 cases per 1000 people (8·0-9·6), and non-convulsive epilepsy was 3·2 cases per 1000 people (2·7-3·7). Overall prevalence was highest among separated or divorced individuals at 20·3 cases per 1000 people (95% CI 15·9-24·7), unemployed people at 18·8 cases per 1000 people (16·2-21·4), those with no formal education at 18·5 cases per 1000 people (16·3-20·7), and adolescents aged 13-18 years at 15·2 cases per 1000 people (12·0-18·5). The epilepsy diagnostic gap was 80%. INTERPRETATION: Epilepsy is common in urban informal settlements of Nairobi, with large diagnostic gaps. Targeted interventions are needed to increase early epilepsy detection, particularly among vulnerable groups, to enable prompt treatment and prevention of adverse social consequences. FUNDING: National Institute for Health Research using Official Development Assistance.