Title |
Electronic search strategies to identify reports of cluster randomized trials in MEDLINE: low precision will improve with adherence to reporting standards
|
---|---|
Published in |
BMC Medical Research Methodology, February 2010
|
DOI | 10.1186/1471-2288-10-15 |
Pubmed ID | |
Authors |
Monica Taljaard, Jessie McGowan, Jeremy M Grimshaw, Jamie C Brehaut, Andrew McRae, Martin P Eccles, Allan Donner |
Abstract |
Cluster randomized trials (CRTs) present unique methodological and ethical challenges. Researchers conducting systematic reviews of CRTs (e.g., addressing methodological or ethical issues) require efficient electronic search strategies (filters or hedges) to identify trials in electronic databases such as MEDLINE. According to the CONSORT statement extension to CRTs, the clustered design should be clearly identified in titles or abstracts; however, variability in terminology may make electronic identification challenging. Our objectives were to (a) evaluate sensitivity ("recall") and precision of a well-known electronic search strategy ("randomized controlled trial" as publication type) with respect to identifying CRTs, (b) evaluate the feasibility of new search strategies targeted specifically at CRTs, and (c) determine whether CRTs are appropriately identified in titles or abstracts of reports and whether there has been improvement over time. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
Canada | 2 | 4% |
Sweden | 1 | 2% |
Ireland | 1 | 2% |
Brazil | 1 | 2% |
Japan | 1 | 2% |
Unknown | 46 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 19% |
Student > Ph. D. Student | 8 | 15% |
Professor > Associate Professor | 8 | 15% |
Student > Master | 6 | 11% |
Librarian | 4 | 7% |
Other | 10 | 19% |
Unknown | 8 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 48% |
Nursing and Health Professions | 4 | 7% |
Economics, Econometrics and Finance | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Mathematics | 2 | 4% |
Other | 7 | 13% |
Unknown | 10 | 19% |