Statistical Measures Alone Cannot Determine Which Database (BNI, CINAHL, MEDLINE, or EMBASE) Is the Most Useful for Searching Undergraduate Nursing Topics. A Review of: Stokes, P., Foster, A., & Urquhart, C. (2009). Beyond relevance and recall: Testing new user-centred measures of database performance. Health Information and Libraries Journal, 26(3), 220-231.

Objective – The research project sought to determine which of four databases was the most useful for searching undergraduate nursing topics. Design – Comparative database evaluation. Setting – Nursing and midwifery students at Homerton School of Health Studies (now part of Anglia Ruskin University), Cambridge, United Kingdom, in 2005-2006. Subjects – The subjects were four databases: British Nursing Index (BNI), CINAHL, MEDLINE, and EMBASE). Methods – This was a comparative study using title searches to compare BNI (BritishNursing Index), CINAHL, MEDLINE and EMBASE.According to the authors, this is the first study to compare BNI with other databases. BNI is a database produced by British libraries that indexes the nursing and midwifery literature. It covers over 240 British journals, and includes references to articles from health sciences journals that are relevant to nurses and midwives (British Nursing Index, n.d.).The researchers performed keyword searches in the title field of the four databases for the dissertation topics of nine nursing and midwifery students enrolled in undergraduate dissertation modules. The list of titles of journals articles on their topics were given to the students and they were asked to judge the relevancy of the citations. The title searches were evaluated in each of the databases using the following criteria: precision (the number of relevant results obtained in the database for a search topic, divided by the total number of results obtained in the database search); recall (the number of relevant results obtained in the database for a search topic, divided by the total number of relevant results obtained on that topic from all four database searches); novelty (the number of relevant results that were unique in the database search, which was calculated as a percentage of the total number of relevant results found in the database); originality (the number of unique relevant results obtained in the database for a search topic, which was calculated as a percentage of the total number of unique results found in all four database searches); availability (the number of relevant full text articles obtained from the database search results, which was calculated as a percentage of the total number of relevant results found in the database); retrievability (the number of relevant full text articles obtained from the database search results, which was calculated as a percentage of the total number of relevant full text articles found from all four database searches); effectiveness (the probable odds that a database will