Neonatal Seizures—Perspective in Low-and Middle-Income Countries

Neonatal seizures are the commonest neurological emergency and are associated with poor neurodevelopmental outcome. While they are generally difficult to diagnose and treat, they pose a significant clinical challenge for physicians in low- and middle-income countries (LMIC). They are mostly provoked seizures caused by an acute brain insult such as hypoxic–ischemic encephalopathy (HIE), ischemic stroke, intracranial hemorrhage, infections of the central nervous system, or acute metabolic disturbances. Early onset epilepsy syndromes are less common. Clinical diagnosis of seizures in the neonatal period are frequently inaccurate, as clinical manifestations are difficult to distinguish from nonseizure behavior. Additionally, a high proportion of seizures are electrographic-only without any clinical manifestations, making diagnosis with EEG or aEEG a necessity. Only focal clonic and focal tonic seizures can be diagnosed clinically with adequate diagnostic certainty. Prompt diagnosis and timely treatment are important, with evidence suggesting that early treatment improves the response to antiseizure medication. The vast majority of published studies are from high-income countries, making extrapolation to LMIC impossible, thus highlighting the urgent need for a better understanding of the etiologies, comorbidities, and drug trials evaluating safety and efficacy in LMIC. In this review paper, the authors present the latest data on etiology, diagnosis, classification, and guidelines for the management of neonates with the emphasis on low-resource settings

Access to primary care for socio-economically disadvantaged older people in rural areas: a qualitative study

Objective: We aim to explore the barriers to accessing primary care for socio-economically disadvantaged older people in rural areas. Methods: Using a community recruitment strategy, fifteen people over 65 years, living in a rural area, and receiving financial support were recruited for semi-structured interviews. Four focus groups were held with rural health professionals. Interviews and focus groups were audio-recorded and transcribed. Thematic analysis was used to identify barriers to primary care access. Findings: Older people’s experience can be understood within the context of a patient perceived set of unwritten rules or social contract – an individual is careful not to bother the doctor in return for additional goodwill when they become unwell. However, most found it difficult to access primary care due to engaged telephone lines, availability of appointments, interactions with receptionists; breaching their perceived social contract. This left some feeling unwelcome, worthless or marginalised, especially those with high expectations of the social contract or limited resources, skills and/or desire to adapt to service changes Health professionals’ described how rising demands and expectations coupled with service constraints had necessitated service development, such as fewer home visits, more telephone consultations, triaging calls and modifying the appointment system. Conclusion: Multiple barriers to accessing primary care exist for this group. As primary care is re-organised to reduce costs, commissioners and practitioners must not lose sight of the perceived social contract and models of care that form the basis of how many older people interact with the service

Development and validation of a neonatal physical maturity score for low- and middle- income countries.

Currently available gestational age scoring systems are complex and inaccurate for wider use in low and middle-income countries(LMIC), particularly in infants with neonatal encephalopathy. Here we developed a scoring system based on physical characteristics for identifying late preterm infants from term infants. In the first phase, we examined the accuracy of 10 objective physical characteristics in a prospective cohort of 1006 babies recruited from three hospitals in South India. A weighted scoring system and a photo card were then developed based on the six best performing characteristics, which was validated in another prospective cohort of 1004 babies. The final score had a sensitivity of 66.0%, (95% Confidence intervals (CI), 58.4%-73.8%), specificity of 80.0%, (95% CI, 77.2%-82.7%) and a negative predictive value of 93.0%, (95%CI, 90.5%-94.5%). This scoring system may have wider applications in low and middle-income countries, particularly in community settings and in infants with neonatal encephalopathy