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For more than 60 years, the world has recognized the need for pediatric critical care (PCC). Today, most low- and middle-income countries (LMICs) still lack access to pediatric intensive care units (PICUs) and specialists, resulting in high rates of morbidity and mortality. These disparities result from several infrastructure and socioeconomic factors, chief among them being the lack of trained PCC and emergency medicine (PCCEM) frontline providers. In this article, we describe a continuing medical education model to increase frontline PCC capacity in Ecuador. The Laude in PCCEM is a program created by a team of Ecuadorian physicians at the University San Francisco de Quito School of Medicine. The program is aimed at providers with no formal training in PCC and who, nonetheless, care for critically ill children. The program resulted in stronger, more cohesive PICU teams with improved resuscitation times and coordination during simulation rounds. In hospitals that implemented the program, we saw decreased PICU mortality rates. Our aim is to identify the opportunities and challenges learned and to offer lessons for other countries that use similar models to cope with the lack of local resource availability.
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Approximately 3 million children younger than 5 years living in low- and middle-income countries (LMICs) die each year from treatable clinical conditions such as pneumonia, dehydration secondary to diarrhea, and malaria. A majority of these deaths could be prevented with early clinical assessments and appropriate therapeutic intervention. In this study, we describe the development and initial validation testing of a mobile health (mHealth) platform, MEDSINC
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, designed for frontline health workers (FLWs) to perform clinical risk assessments of children aged 2–60 months. MEDSINC is a web browser–based clinical severity assessment, triage, treatment, and follow-up recommendation platform developed with physician-based Bayesian pattern recognition logic. Initial validation, usability, and acceptability testing were performed on 861 children aged between 2 and 60 months by 49 FLWs in Burkina Faso, Ecuador, and Bangladesh. MEDSINC-based clinical assessments by FLWs were independently and blindly correlated with clinical assessments by 22 local health-care professionals (LHPs). Results demonstrate that clinical assessments by FLWs using MEDSINC had a specificity correlation between 84% and 99% to LHPs, except for two outlier assessments (63% and 75%) at one study site, in which local survey prevalence data indicated that MEDSINC outperformed LHPs. In addition, MEDSINC triage recommendation distributions were highly correlated with those of LHPs, whereas usability and feasibility responses from LHP/FLW were collectively positive for ease of use, learning, and job performance. These results indicate that the MEDSINC platform could significantly increase pediatric health-care capacity in LMICs by improving FLWs’ ability to accurately assess health status and triage of children, facilitating early life-saving therapeutic interventions.
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