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Alex Haig

Publications and source records attributed to Alex Haig.

4 recordsLinked to original sources

METRO taxonomy - progress report on assessment.

The Medical Education Taxonomy Research Organization (METRO) was formed to map and create terms to comprehensively describe the processes, procedures and concepts of medical education. The terms will be used in a variety of purposes, such as describing content for retrieval from e-learning environments, indexing literature in databases, and extracting and exchanging data for research, such as for BEME systematic reviews. METRO has now completed an extensive set of descriptors for assessment, which are freely available at http://metro2.blogspot.com. The organization welcomes the response and participation of all medical education professionals.

Databases, Factual↗

METRO--the creation of a taxonomy for medical education.

AIMS: There is a proven and immediate need for a shared vocabulary for medical education in the United Kingdom, both to support the practice of medical education and the research of medical education practice. It would be inefficient to create a complete and independent vocabulary from scratch, the proposed alternative being to create differential terms between the MeSH and BET vocabularies. METHODS: Existing schemas were reviewed against the needs of stakeholders. Seed terms were submitted to the METRO work environment, discussed, scoped and voted upon. RESULTS: A set of procedures, initial terms and recommendations for further development are the principal deliverables from METRO's first phase, while the ongoing second phase will see the creation and testing of an essential branch of descriptors for assessment. CONCLUSIONS: Further work in a number of areas will be required and long-term issues of resourcing and sustainability have yet to be substantially addressed to allow for full adoption by the user community.

Classification↗

BEME Guide no 3: systematic searching for evidence in medical education--Part 1: Sources of information.

Searching for evidence to inform best practice in medical education is a complex undertaking. With very few information sources dedicated to medical education itself, one is forced to consult a wide range of often enormous sources--and these are dedicated to either medicine or education, making a medical education search all the more challenging. This guide provides a comprehensive overview of relevant information sources and methods (including bibliographic databases, grey literature, hand searching and the Internet) and describes when they should be consulted. The process of constructing a search is explained: identifying and combining core concepts, using Boolean algebra and search syntax, limiting results sets, and making best use of databases' controlled vocabularies. This process is illustrated with images from search screens and is followed by numerous examples designed to reinforce skills and concepts covered. The guide has been developed from the ongoing experience gained from the systematic searches conducted for the Best Evidence Medical Education Collaboration, and concludes by looking ahead to initiatives that will shape future searching for medical education evidence.

Benchmarking↗

BEME guide no. 3: systematic searching for evidence in medical education--part 2: constructing searches.

Searching for evidence to inform best practice in medical education is a complex undertaking. With very few information sources dedicated to medical education itself, one is forced to consult a wide range of often enormous sources-and these are dedicated to either medicine or education, making a medical education search all the more challenging. This guide provides a comprehensive overview of relevant information sources and methods (including bibliographic databases, grey literature, hand searching and the Internet) and describes when they should be consulted. The process of constructing a search is explained:identifying and combining core concepts, using Boolean algebra and search syntax, limiting results sets, and making best use of databases' controlled vocabularies. This process is illustrated with images from search screens and is followed by numerous examples designed to reinforce skills and concepts covered. The guide has been developed from the ongoing experience gained from the systematic searches conducted for the Best Evidence Medical Education Collaboration, and concludes by looking ahead to initiatives that will shape future searching for medical education evidence.

Abstracting and Indexing↗