Publications by authors named "M Ouma"

Introduction: Paediatric tuberculosis (TB) underdiagnosis is a critical concern. The INPUT stepped-wedge cluster-randomised trial assessed the impact of integrating child TB services into child healthcare on TB case detection among children under age 5 years.

Methods: We compared the standard of care, providing TB care in specific TB clinics (control phase), with the Catalysing Paediatric TB Innovations (CaP-TB) intervention, integrating TB services across all child health services (intervention phase).

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Objective: Previous research suggests an overall lower cardiovascular disease mortality among ethnic German Resettlers from the Former Soviet Union. However, evidence points to a high burden of metabolic risk factors and chronic conditions among Resettlers, factors which are correlated to lower levels of physical activity. Thus, this study aims to assess factors associated with physical activity among Resettlers, by investigating the interplay between biopsychosocial factors and physical activity between men and women.

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Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about their added value, reliability, safety, and effectiveness before adoption. This study included children aged < 15 years who presented to the emergency departments of two public hospitals in Kenya between February and December 2021.

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Background: The outbreak of COVID-19 has caused a setback to the gains achieved in tuberculosis (TB) control by impairing TB diagnosis, delaying treatment initiation and aggravating TB deaths. This study explored the effect of COVID-19 on paediatric TB services provided through the Catalysing Paediatric TB Innovations (CaP-TB) project among caregivers of children receiving TB services and healthcare workers (HCWs) providing TB services in Cameroon and Kenya.

Methods: From March to September 2021, in-depth interviews (44) were conducted with caregivers whose children under 5 years had gone through TB services and programme managers (10) overseeing the CaP-TB project.

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Article Synopsis
  • Infectious diseases contribute to a significant portion of under-five mortality in low- and middle-income countries, and clinical prediction models like Smart Triage can help identify critically ill infants to improve care.
  • A study aimed to externally validate the Smart Triage model using data from Uganda and Kenya, finding it performed better for children over one month than for neonates.
  • After adjusting for neonate-specific thresholds, the model showed improved predictive accuracy, suggesting it could be incorporated into local healthcare guidelines, though further validation is necessary.
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