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      Factors affecting residency rank-listing: A Maxdiff survey of graduating Canadian medical students

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          Abstract

          Background

          In Canada, graduating medical students consider many factors, including geographic, social, and academic, when ranking residency programs through the Canadian Residency Matching Service (CaRMS). The relative significance of these factors is poorly studied in Canada. It is also unknown how students differentiate between their top program choices. This survey study addresses the influence of various factors on applicant decision making.

          Methods

          Graduating medical students from all six Ontario medical schools were invited to participate in an online survey available for three weeks prior to the CaRMS match day in 2010. Max-Diff discrete choice scaling, multiple choice, and drop-list style questions were employed. The Max-Diff data was analyzed using a scaled simple count method. Data for how students distinguish between top programs was analyzed as percentages. Comparisons were made between male and female applicants as well as between family medicine and specialist applicants; statistical significance was determined by the Mann-Whitney test.

          Results

          In total, 339 of 819 (41.4%) eligible students responded. The variety of clinical experiences and resident morale were weighed heavily in choosing a residency program; whereas financial incentives and parental leave attitudes had low influence. Major reasons that applicants selected their first choice program over their second choice included the distance to relatives and desirability of the city. Both genders had similar priorities when selecting programs. Family medicine applicants rated the variety of clinical experiences more importantly; whereas specialty applicants emphasized academic factors more.

          Conclusions

          Graduating medical students consider program characteristics such as the variety of clinical experiences and resident morale heavily in terms of overall priority. However, differentiation between their top two choice programs is often dependent on social/geographic factors. The results of this survey will contribute to a better understanding of the CaRMS decision making process for both junior medical students and residency program directors.

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          Most cited references 26

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          Likert scales: how to (ab)use them.

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            Some probabilistic models of best, worst, and best–worst choices

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              Using Best–Worst Scaling Methodology to Investigate Consumer Ethical Beliefs Across Countries

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                Author and article information

                Journal
                BMC Med Educ
                BMC Medical Education
                BioMed Central
                1472-6920
                2011
                25 August 2011
                : 11
                : 61
                Affiliations
                [1 ]Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, Floor 5, Toronto, Ontario, Canada
                [2 ]Department of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, Ontario, Canada
                [3 ]Department of Anesthesia, University of Toronto, Room 121, Fitzgerald Building 150 College Street, Toronto, Ontario, Canada
                [4 ]Department of Medicine, University of Toronto, Suite RFE 3-805, 200 Elizabeth St., Toronto, Ontario, Canada
                [5 ]Department of Family and Community Medicine, 500 University Avenue, Floor 5, Toronto, Ontario, Canada
                [6 ]Department of Medical Education, Northern Ontario School of Medicine, 955 Oliver Road, Thunder Bay, Ontario, Canada
                [7 ]Department of Obstetrics and Gynecology, 68 Barrie Street, Queen's University, Kingston, Ontario, Canada
                1472-6920-11-61
                10.1186/1472-6920-11-61
                3170644
                21867513
                Copyright ©2011 Wang et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                Categories
                Research Article

                Education

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