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1.
BMC Med Educ ; 24(1): 939, 2024 Aug 28.
Artigo em Inglês | MEDLINE | ID: mdl-39198828

RESUMO

BACKGROUND: Objective assessment of skills after training is essential for safe implementation of lung point-of-care ultrasound (POCUS). In low-and middle-income countries (LMIC) there is a need for assessment tools without onsite experts to scale up POCUS access. Our objective is to develop a web-based assessment tool and evaluate trainees across different countries and at different time points after initial lung POCUS training. METHODS: We adapted the objective and validated lung ultrasound score (LUS-OSAUS) to a web-based tool with quiz and practical skills test. Trainees were evaluated after a short (4-day) standardized lung POCUS training and were classified in distinct groups according to (i) their geographical location (Benin vs. South-Africa) and (ii) time elapsed since training (Benin 0 months vs. Benin 6 months). The Benin 6 months group had minimal continuous education. Skills test images were read by two blinded experts. We report the overall success rates and then compare these rates based on location and timing since training, using the Fischer's exact test. RESULTS: A total of 35 out of 43 participants completed the online LUS-OSAUS quiz and skills test. The overall success rate was 0.84 (95%CI 0.80-0.88), with lower success rates for "correct depth" 0.54 (0.37-0.71), "correct assessment of pleura" 0.63 (0.45-0.79) and "conclusion" 0.71 (0.54-0.85). There were no differences based on location, with respective rates of 0.86 (0.80-0.92) and 0.83 (0.75-0.91) (p-value = 0.125) for Benin and South Africa at 0 months, respectively. Similarly, there were no differences according to timing with success rates of 0.86 (0.80-0.92) and 0.82 (0.72-0.93) (p-value = 0.563) for Benin at 0 months and 6 months, respectively. CONCLUSION: Web-based objective and structured assessment of lung POCUS skills in LMIC following a short-standardized training is feasible and has a good overall success rate with consistent results across regions and up to 6 months after training given minimal continuous education. Overall, technical and POCUS-based clinical conclusion skills are the most difficult to acquire.


Assuntos
Competência Clínica , Países em Desenvolvimento , Pulmão , Sistemas Automatizados de Assistência Junto ao Leito , Ultrassonografia , Humanos , Pulmão/diagnóstico por imagem , Internet , Avaliação Educacional , África do Sul , Região de Recursos Limitados
2.
Int J Infect Dis ; 123: 46-51, 2022 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-35811083

RESUMO

Point-of-care ultrasound (POCUS) is an increasingly accessible skill, allowing for the decentralization of its use to nonspecialist healthcare workers to guide routine clinical decision-making. The advent of ultrasound-on-a-chip has transformed the technology into a portable mobile health device. Because of its high sensitivity to detect small consolidations, pleural effusions, and subpleural nodules, POCUS has recently been proposed as a sputum-free likely triage tool for tuberculosis (TB). To make an objective assessment of the potential and limitations of POCUS in routine TB management, we present a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis based on a review of the relevant literature and focusing on Sub-Saharan Africa (SSA). We identified numerous strengths and opportunities of POCUS for TB management, e.g., accessible, affordable, easy to use and maintain, expedited diagnosis, extrapulmonary TB detection, safer pleural/pericardial puncture, use in children/pregnant women/people living with HIV, targeted screening of TB contacts, monitoring TB sequelae, and creating artificial intelligence decision support. Weaknesses and external threats such as operator dependency, lack of visualization of central lung pathology, poor specificity, lack of impact assessments and data from SSA must be taken into consideration to ensure that the potential of the technology can be fully realized in research as in practice.


Assuntos
Sistemas Automatizados de Assistência Junto ao Leito , Tuberculose , Inteligência Artificial , Criança , Feminino , Humanos , Testes Imediatos , Gravidez , Tuberculose/diagnóstico por imagem , Tuberculose/tratamento farmacológico , Ultrassonografia
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