Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments
Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments
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DOI：
10.1007/s11136-009-9528-5
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发表时间：
2009-10-01
影响因子：
3.5
通讯作者：
de Vet, Henrica C. W.
中科院分区：
文献类型：
--
作者：
Terwee, Caroline B.;Jansma, Elise P.;de Vet, Henrica C. W.
对于患者报告的结果的测量，例如(与健康相关的)生活质量，通常存在许多打算测量相同结构的测量工具。为了方便仪器的选择，我们的目标是开发一个高灵敏度的搜索过滤器来查找PubMed中关于测量仪器测量特性的研究，以及一个更精确的搜索过滤器，它需要更少的摘要来筛选，但遗漏相关研究的风险更高。随机抽取10,000条PubMed记录(1990年1月1日至2006年12月31日)作为金标准。使用排除过滤器和手动搜索来鉴定测量特性的研究。搜索词是从黄金标准中的相关记录以及从100个测量属性的系统审查中选择的，并根据灵敏度和精确度进行组合。通过计算灵敏度、精密度、特异度和需要读取的数量，在金标准中以及在两个验证集中对过滤器的性能进行了测试。我们确定了金标准中关于测量特性的116项研究。敏感搜索过滤器能够检索到116项研究中的113项(敏感度97.4%，精确度4.4%)。精确搜索过滤器的灵敏度为93.1%，精确度为9.4%。这两个过滤器在验证集上的表现都非常好。这些搜索过滤器的使用将有助于所有医疗领域的测量仪器的循证选择。
For the measurement of patient-reported outcomes, such as (health-related) quality of life, often many measurement instruments exist that intend to measure the same construct. To facilitate instrument selection, our aim was to develop a highly sensitive search filter for finding studies on measurement properties of measurement instruments in PubMed and a more precise search filter that needs less abstracts to be screened, but at a higher risk of missing relevant studies.A random sample of 10,000 PubMed records (01-01-1990 to 31-12-2006) was used as a gold standard. Studies on measurement properties were identified using an exclusion filter and hand searching. Search terms were selected from the relevant records in the gold standard as well as from 100 systematic reviews of measurement properties and combined based on sensitivity and precision. The performance of the filters was tested in the gold standard as well as in two validation sets, by calculating sensitivity, precision, specificity, and number needed to read.We identified 116 studies on measurement properties in the gold standard. The sensitive search filter was able to retrieve 113 of these 116 studies (sensitivity 97.4%, precision 4.4%). The precise search filter had a sensitivity of 93.1% and a precision of 9.4%. Both filters performed very well in the validation sets.The use of these search filters will contribute to evidence-based selection of measurement instruments in all medical fields.