Publication rates of, and attitudes toward, summer research projects: 10-year experience from a single institution in New Zealand

Abstract

Background: Research is increasingly being emphasized from an early stage in medical students’ careers. Medical student involvement in research and authorship of peer-reviewed manuscripts have been shown to enhance their academic performance—both in the short term and long term. The aim of this study was to evaluate outcomes and motivations of the summer studentship research program at our institution, using Vroom’s expectancy theory as a conceptual framework. Methods: We utilized a mixed-methods approach to our study. Two databases (PubMed™ and Google Scholar™) were searched for publication data. In addition, students and supervisors of the program at the University of Otago were invited to provide comments on the program. Qualitative data were analyzed using an inductive, pragmatic approach which involved coding responses and grouping codes into common themes. Results: Between 2007 and 2016, 1,345 projects were completed, of which 326 (24.2%) resulted in a peer-reviewed publication. Students made up 48.1% of the first-authors. Three themes each emerged from the students and the supervisors’ survey. Student themes included: motives for undertaking a summer studentship, administrative benefits and barriers, and perceived outcomes of the program. Supervisor themes included: motivations for enga-ging in the summer studentship program, administrative benefits and barriers, and expecta-tions placed on the student. These themes are consistent with Vroom’s expectancy theory where motivation is related to expectancy, instrumentality, and valence. Conclusion: A dedicated program to foster an interest in research by medical students has great value as judged by an overall publication rate of 24.2%. In addition, it provides opportunities to explore areas of interest in depth, acquire research skills, pilot new avenues of research, and create professional networks. Student research program needs to be well founded and well supported including administrative and statistical support.