Medical graduate views on statistical learning needs for clinical practice: a comprehensive survey

Autor: Margaret MacDougall, Helen S. Cameron, Simon R. J. Maxwell
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC Medical Education, Vol 20, Iss 1, Pp 1-17 (2019)
Druh dokumentu: article
ISSN: 1472-6920
DOI: 10.1186/s12909-019-1842-1
Popis: Abstract Background This paper seeks to contribute to a reputable evidence base for required competencies across different topics in statistics and probability (statistical topics) in preparing medical graduates for clinical practice. This is in order to inform the prioritization of statistical topics within future undergraduate medical curricula, while exploring the need for preparing tomorrow’s doctors to be producers, and not merely consumers, of statistics. Methods We conducted a comprehensive online survey from July 2013 to August 2014 for a target group of 462 medical graduates with current or prior experience of teaching undergraduate medical students of the University of Edinburgh of whom 278 (60.2%) responded. Statistical topics were ranked by proportion of respondents who identified the practice of statistics, performing statistical procedures or calculations using appropriate data, as a required competency for medical schools to provide in preparing undergraduate medical students for clinical practice. Mixed effects analyses were used to identify potential predictors for selection of the above competency and to compare the likelihood of this selection for a range of statistical topics versus critical appraisal. Results Evidence was gleaned from medical graduates’ experiences of clinical practice for the need for, not only a theoretical understanding of statistics and probability but also, the ability to practice statistics. Nature of employment and statistical topic were highly significant predictors of choice of the practice of statistics as a required competency ((F = 3.777, p
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