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1.
Ann Emerg Med ; 69(2): 218-226, 2017 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-27974170

RESUMO

Significant evidence identifies point-of-care ultrasound (PoCUS) as an important diagnostic and therapeutic tool in resource-limited settings. Despite this evidence, local health care providers on the African continent continue to have limited access to and use of ultrasound, even in potentially high-impact fields such as obstetrics and trauma. Dedicated postgraduate emergency medicine residency training programs now exist in 8 countries, yet no current consensus exists in regard to core PoCUS competencies. The current practice of transferring resource-rich PoCUS curricula and delivery methods to resource-limited health systems fails to acknowledge the unique challenges, needs, and disease burdens of recipient systems. As emergency medicine leaders from 8 African countries, we introduce a practical algorithmic approach, based on the local epidemiology and resource constraints, to curriculum development and implementation. We describe an organizational structure composed of nexus learning centers for PoCUS learners and champions on the continent to keep credentialing rigorous and standardized. Finally, we put forth 5 key strategic considerations: to link training programs to hospital systems, to prioritize longitudinal learning models, to share resources to promote health equity, to maximize access, and to develop a regional consensus on training standards and credentialing.


Assuntos
Internato e Residência/métodos , Sistemas Automatizados de Assistência Junto ao Leito , Ultrassonografia , África , Algoritmos , Competência Clínica , Currículo , Países em Desenvolvimento , Medicina de Emergência/educação , Medicina de Emergência/organização & administração , Humanos , Internato e Residência/normas
2.
Med Decis Making ; 31(3): 405-11, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-21191120

RESUMO

BACKGROUND: Empiric antibiotic prescribing for suspected acute cystitis may lead to unnecessary prescriptions when urine cultures are negative. This study assessed whether physician overestimation of the likelihood of bacterial infection contributed to unnecessary antibiotic prescriptions. METHODS: This was a cross-sectional study in Toronto, Canada, from 1998 to 2000 of 231 women 16 years and older who underwent standardized clinical assessments and urine culture testing. The main outcome was an unnecessary antibiotic prescription, defined as a prescription where the urine culture was negative. The difference between physician estimates of the likelihood of a positive urine culture and the measured culture rate for women with similar symptoms was used to measure overestimation error. Logistic regression was used to assess associations between unnecessary prescriptions and clinical factors or overestimation error. Multiple logistic regression was used to adjust for the effect of clinical factors. RESULTS: Of 230 women assessed, 186 (80.9%) were prescribed antibiotics and 74 (32.2%) were prescribed an unnecessary antibiotic where the urine culture was negative. When an overestimation error above the median value (14.75%) was present, the odds of an unnecessary antibiotic prescription were increased (adjusted odds ratio = 3.72; 95% confidence interval = 1.75-7.89). A high overestimation error was associated with the symptoms of urinary frequency or suprapubic tenderness and costovertebral angle tenderness on examination. CONCLUSIONS: Physician overestimation of the likelihood of a positive urine culture in women with symptoms of acute cystitis was associated with unnecessary antibiotic prescribing. Antibiotic overuse may be reduced by developing treatment strategies that deemphasize nonspecific clinical findings that contribute to physician overestimation error.


Assuntos
Antibacterianos/uso terapêutico , Cistite/tratamento farmacológico , Padrões de Prática Médica/estatística & dados numéricos , Urinálise , Doença Aguda , Adulto , Intervalos de Confiança , Estudos Transversais , Cistite/economia , Cistite/urina , Uso de Medicamentos/estatística & dados numéricos , Feminino , Humanos , Modelos Logísticos , Pessoa de Meia-Idade , Razão de Chances , Ontário
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