Radut Dan Silviu, Sanz-Valero Javier
Département d'Infirmerie Communautaire, Médecine Préventive, Santé Publique et Histoire de la Science, Université d'Alicante, Espagne.
Rech Soins Infirm. 2011 Jun(105):14-24.
To focus on the university medical research record in Belgium, retrieved through university search filter in a context of Body Mass Index (BMI), overweight, obesity and physical activity. A generic model of Belgian university search filter was created and applied in MEDLINE (through PubMed). 'Place of publication' and language characteristics were identified. The performance of the university constructed filter was evaluated in two stages: first, by comparing it with the results of a manual search (gold standard; sensitivity, specificity) and second, by calculating agreement percentages. The evaluation of the filter revealed specificity and sensitivity of 100% in the field of BMI, overweight, obesity and physical activity. Globally the agreement percentage was 97.23%. The construction of university filter with high sensitivity and specificity permitted systematic application and rapid retrieval of desired information in MEDLINE (PubMed).
为聚焦于比利时大学的医学研究记录,通过在体重指数(BMI)、超重、肥胖和身体活动背景下的大学搜索过滤器进行检索。创建了比利时大学搜索过滤器的通用模型并应用于MEDLINE(通过PubMed)。确定了“出版地”和语言特征。分两个阶段评估所构建的大学过滤器的性能:第一,将其与手动搜索结果(金标准;敏感性、特异性)进行比较;第二,计算一致率。过滤器评估显示,在BMI、超重、肥胖和身体活动领域,特异性和敏感性均为100%。总体一致率为97.23%。构建具有高敏感性和特异性的大学过滤器,使得能够在MEDLINE(PubMed)中系统地应用并快速检索所需信息。