Publications by authors named "Matata L"

Effective and sustainable strategies are needed to address the burden of preventable deaths among children under-five in resource-constrained settings. The Tools for Integrated Management of Childhood Illness (TIMCI) project aims to support healthcare providers to identify and manage severe illness, whilst promoting resource stewardship, by introducing pulse oximetry and clinical decision support algorithms (CDSAs) to primary care facilities in India, Kenya, Senegal and Tanzania. Health impact is assessed through: a pragmatic parallel group, superiority cluster randomised controlled trial (RCT), with primary care facilities randomly allocated (1:1) in India to pulse oximetry or control, and (1:1:1) in Tanzania to pulse oximetry plus CDSA, pulse oximetry, or control; and through a quasi-experimental pre-post study in Kenya and Senegal.

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Timely recognition and referral of severely ill children is especially critical in low-resource health systems. Pulse-oximeters can improve health outcomes of children by detecting hypoxaemia, a severity indicator of the most common causes of death in children. Cost-effectiveness of pulse-oximeters has been proven in low-income settings.

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Article Synopsis
  • ePOCT+ Development
  • : A new electronic clinical decision support algorithm (CDSA), called ePOCT+, was created to help reduce childhood mortality and improve antibiotic prescribing practices in low- and middle-income countries by guiding clinicians to follow established medical guidelines.
  • medAL-Suite
  • : The medAL-suite software was developed to streamline the creation and application of CDSAs, allowing healthcare professionals without technical skills to design algorithms easily, using tools like medAL-creator and medAL-reader for consultations.
  • Validation and Future Plans
  • : The algorithms underwent thorough reviews and usability tests by experts across several countries to ensure clinical relevance, with ongoing clinical validation studies planned in Tanzania, Rwanda, Kenya, Senegal, and India
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Increasing childhood TB case detection requires the deployment of diagnostic services at peripheral healthcare level. Capacity and readiness of healthcare workers (HCWs) are key to the delivery of innovative approaches. In 2019, HCWs from five district hospitals (DHs) and 20 primary healthcare centres (PHCs) in Cambodia, Cameroon, Cote d´Ivoire, Sierra Leone and Uganda completed a self-administered knowledge-attitudes-practices (KAP) questionnaire on childhood TB.

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Background: Low blood oxygen saturation (SpO), or hypoxaemia, is an indicator of severe illness in children. Pulse oximetry is a globally accepted, non-invasive method to identify hypoxaemia, but rarely available outside higher-level facilities in resource-constrained countries. This study aims to evaluate the performance of different types of pulse oximeters amongst frontline health workers in Cambodia, Ethiopia, South Sudan, and Uganda.

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Background: Pneumonia is one of the leading causes of death in children under-five globally. The current diagnostic criteria for pneumonia are based on increased respiratory rate (RR) or chest in-drawing in children with cough and/or difficulty breathing. Accurately counting RR is difficult for community health workers (CHWs).

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Background: Pneumonia is one of the leading causes of death in children aged under 5 years in both sub-Saharan Africa and Southeast Asia. The current diagnostic criterion for pneumonia is based on the increased respiratory rate (RR) in children with cough or difficulty breathing. Low oxygen saturation, measured using pulse oximeters, is indicative of severe pneumonia.

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Background: Pneumonia heavily contributes to global under-five mortality. Many countries use community case management to detect and treat childhood pneumonia. Community health workers (CHWs) have limited tools to help them assess signs of pneumonia.

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Background: Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data.

Methods: We used data from 18,712 adults admitted to Kilifi District Hospital (Kilifi, Kenya) between Jan 1, 2007, and Dec 31, 2012, linked to 790,635 person-years of observation within the Kilifi Health and Demographic Surveillance System, to establish the rates and major causes of admission to hospital.

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Background: The most common method for determining cause of death is certification by physicians based either on available medical records, or where such data are not available, through verbal autopsy (VA). The physician-certification approach is costly and inconvenient; however, recent work shows the potential of a computer-based probabilistic model (InterVA) to interpret verbal autopsy data in a more convenient, consistent, and rapid way. In this study we validate separately both physician-certified verbal autopsy (PCVA) and the InterVA probabilistic model against hospital cause of death (HCOD) in adults dying in a district hospital on the coast of Kenya.

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