Designing a search strategy to identify and retrieve articles onevidence-based health care using MEDLINE

Thepractice of evidence-based health care requires that information on methodology be identifiedfrom databases such as MEDLINE. Up until this year there have been no designated medicalsubject headings (MeSH) for evidence-based health care. ‘EVIDENCE-BASEDMEDICINE’ appears as a MeSH term from 1997. The absence of designated MeSH forthis concept prior to 1997 provides a challenge to the searcher. This paper describes the creationof a MEDLINE search strategy to retrieve articles on the methods of evidence-based health carepublished prior to the introduction of the new term, where an optimal combination of free-textand MeSH terms is required to identify relevant material. The study examines both free-text andsubject heading searching and attempts an optimal balance of sensitivity and specificity. It beginsby examining separate free-text and subject heading searches. Sensitivity of the subject headingsearch was 33% and specificity 80%, while the free-text search produced asensitivity of 50% and a specificity of 67%. The final strategy, combining bothapproaches, was more successful with sensitivity reaching between 82 and 90% andspecificity 83%. It is therefore possible to devise a search strategy to retrieve articles on themethods of evidence-based health care with relatively successful rates of sensitivity andspecificity. The limitations of MEDLINE, however, necessitate the use of additional approachesin identifying articles on the methods of evidence-based health care.     

Selection models in the music industry: How a prior independent experience may affect chart success

The is article analyses the two main approaches for artists’ selection in the recording industry: the direct model in which large major companies directly choose new artists from the supply market, and the agency model in which small independent labels realise the first choice and, subsequently, large organisations pick their new artists among those pre-selected by independents.An empirical analysis of chart sales reveals that artists selected through the agency model exhibit a longer presence on the chart due to repeated successes, while they are slower to reach heavy success once they have entered the chart. Conversely, the direct model leads to artists with a faster path to a strong success, but the same artists have a shorter presence on the chart due to the sporadic nature of their success. The profile of artists selected through these two models is also found to be different: big international soloist stars are more frequently selected through the direct model, while national bands are more frequently selected through the agency model.The insights suggest important implications for management in the cultural industries and especially in the recording industry. Jel Codes: L82; O32     

Teamwork and change

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Authors and information technology: New challenges in publishing

Last year 1279 professional authors completed a lengthy questionnaire on their use of, and attitudes towards, technological tools for writing and publishing. The data were analysed quantitatively, by examining the most frequent responses to items on the questionnaire, and qualitatively, by looking closely at details illuminating the relationship between authors and publishers. The results, for present purposes, are divided into three broad bands of interest: first, what types of writing software authors are currently using; second, what the implications of using authors' disks in the publication chain are; and third, how technology alters perceptions of the copy as a unit of sale. Findings suggest that though authors are operating at basic levels, they have embraced technology with more enthusiasm than their publishers. The challenge facing those involved in books is to make provision for presenting and displaying work in electronic form: to improve contracts and licensing agreements, and to disseminate information on technology to authors.Funded by the British National Bibliography Reseach Fund.© Jane Dorner, 1991