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Building PROMIS item banks: librarians as co-investigators.

机译:建立PROMIS项目库:由馆员担任共同调查员。

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PURPOSE: There is growing interest in the use of item response theory (IRT) for creation of measures of health-related quality of life (HRQOL). A first step in IRT modeling is development of item banks. Our aim is to describe the value of including librarians and to describe processes used by librarians, in the creation of such banks. METHOD: Working collaboratively with PROMIS researchers at the University of Pittsburgh, a team of librarians designed and implemented comprehensive literature searches in a selected set of information resources, for the purpose of identifying existing measures of patient-reported emotional distress. RESULTS: A step-by-step search protocol developed by librarians produced a set of 525 keywords and controlled vocabulary terms for use in search statements in 3 bibliographic databases. These searches produced 6,169 literature citations, allowing investigators to add 444 measurement scales to their item banks. CONCLUSION: Inclusion of librarians on the Pittsburgh PROMIS research team allowed investigators to create large initial item banks, increasing the likelihood that the banks would attain high measurement precision during subsequent psychometric analyses. In addition, a comprehensive literature search protocol was developed that can now serve as a guide for other investigators in the creation of IRT item banks.
机译:目的:人们越来越关注使用项目反应理论(IRT)来建立健康相关生活质量(HRQOL)的量度。 IRT建模的第一步是开发项目库。我们的目的是描述在创建此类银行时包括图书馆员的价值,并描述图书馆员使用的过程。方法:与匹兹堡大学的PROMIS研究人员合作,一个图书馆员团队在选定的一组信息资源中设计和实施了全面的文献检索,目​​的是确定患者报告的情绪困扰的现有量度。结果:图书馆员制定的分步搜索协议产生了525个关键字和受控词汇集,可在3个书目数据库的搜索语句中使用。这些搜索产生了6,169篇文献引用,使研究人员可以在其项目库中添加444个度量标准。结论:匹兹堡的PROMIS研究小组将图书馆员纳入其中,这使研究人员可以创建大型的初始项目库,从而增加了在随后的心理计量分析中,这些库达到较高测量精度的可能性。此外,还开发了一种全面的文献搜索协议,该协议现在可以作为其他研究人员创建IRT项目库的指南。

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