Suppr超能文献

斯威士兰的初级卫生保健工作者使用一种简单的临床算法识别肺炎。

Recognition of pneumonia by primary health care workers in Swaziland with a simple clinical algorithm.

作者信息

Simoes E A, McGrath E J

机构信息

Department of Pediatrics, University of Colorado Health Sciences Center, Denver 80262.

出版信息

Lancet. 1992;340(8834-8835):1502-3. doi: 10.1016/0140-6736(92)92757-7.

Abstract

In developing countries primary health care workers are being trained to manage and treat acute respiratory infections with a protocol developed by the WHO. We tested the ability of nurses and nursing assistants in Swaziland to recognise the signs and symptoms of pneumonia; with the results of a paediatrician's examination as "gold standard", sensitivities and specificities were calculated. Danger signs of stridor and abnormal sleepiness were poorly recognised (sensitivity 0-50%) by the health care workers, as was audible wheeze. Severe undernutrition, tachypnoea, and chest wall indrawing were well recognised. Overall, the recognition of pneumonia was good (sensitivity 71-83%, specificity 84-85%). These findings highlight topics for emphasis in training.

摘要

在发展中国家,初级卫生保健工作者正在接受培训,以便按照世界卫生组织制定的方案来管理和治疗急性呼吸道感染。我们测试了斯威士兰护士和护理助理识别肺炎体征和症状的能力;以儿科医生的检查结果作为“金标准”,计算了敏感度和特异度。卫生保健工作者对喘鸣和异常嗜睡等危险体征的识别较差(敏感度为0 - 50%),对可闻及的哮鸣音的识别情况也是如此。严重营养不良、呼吸急促和胸壁凹陷则得到了较好的识别。总体而言,对肺炎的识别情况良好(敏感度为71 - 83%,特异度为84 - 85%)。这些研究结果突出了培训中需要重点强调的内容。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验