Publications by authors named "Jenny Craven"

Background: The authors developed a validated geographic search filter to retrieve research about the United Kingdom (UK) from OVID Embase. It was created to be used alongside their previously published OVID MEDLINE UK filter in systematic literature searches for context-sensitive topics.

Objectives: To develop a validated geographic search filter to retrieve research about the UK from OVID Embase.

View Article and Find Full Text PDF

Background: A validated geographic search filter for the retrieval of research about the United Kingdom (UK) from bibliographic databases had not previously been published.

Objectives: To develop and validate a geographic search filter to retrieve research about the UK from OVID medline with high recall and precision.

Methods: Three gold standard sets of references were generated using the relative recall method.

View Article and Find Full Text PDF

In this feature guest writers Michael Raynor and Jenny Craven from the National Institute for Health and Care Excellence (NICE) present an overview of their evaluative research study on the value and impact of the information skills training courses they provide at NICE. In particular, this small study used a combination of qualitative and quantitative data to look beyond satisfaction and confidence levels and identify whether learning had actually taken place as a result of attending the sessions, and how new skills were used by the attendees in their day-to-day work. H.

View Article and Find Full Text PDF

Background: The Cochrane Library databases are available via different interfaces; evidence in the literature, together with anecdotal evidence, shows interfaces perform differently. To ensure the quality of searches, a study was undertaken to systematically explore the functionality of interfaces.

Objectives: To demonstrate differences in functionality when searching the same databases across different interfaces; to discuss the implications this may have on searching; and in a wider context, to suggest a 'best match' for comparable searching.

View Article and Find Full Text PDF