Dataset Information

The impact of the program structure at Hannover Medical School on academic success in medical studies.

ABSTRACT: Aim: The classical course structure for medicine in Germany is separated by three sections of the medical state examination. This structure is generally regarded as sensible and unchangeable. Because the special program structure at Hannover Medical School (MHH) has one integrated, rather than two separate study blocks, it is possible to examine the influence of structural modifications on the study success of different admission groups. Methods: The data was obtained from students admitted to the MHH between 2006 and 2008 in different admission quotas. Study success was defined as the successful completion of the entire program, but completion of the first section of the state examination was also analysed. Results: More students from the best "Abitur" (school leaving examinations) quota successfully completed their studies than those accepted via the selection process of the universities. The latter were more successful than students from the waiting list quota. However the successful graduates of this last group completed their studies more often within the prescribed period of study, although they needed more time for completing all parts of the first section of the state examination. Conclusion: The data shows that an integrated course structure can offer, in particular, students from the waiting list quota, the opportunity to compensate for delays in the first years of study. However, they do not provide any evidence which applicants are best suited to meet the social and professional requirements of trained doctors. Due to the complex structure of such longitudinal studies, our results allow more than one plausible interpretation.

SUBMITTER: Fischer V

PROVIDER: S-EPMC6022587 | biostudies-other | 2018

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

The impact of the program structure at Hannover Medical School on academic success in medical studies.

Fischer Volkhard V Dudzinska Agnieszka A Just Ingo I

GMS journal for medical education 20180515 2

<b>Aim:</b> The classical course structure for medicine in Germany is separated by three sections of the medical state examination. This structure is generally regarded as sensible and unchangeable. Because the special program structure at Hannover Medical School (MHH) has one integrated, rather than two separate study blocks, it is possible to examine the influence of structural modifications on the study success of different admission groups. <b>Methods:</b> The data was obtained from students ...[more]

PMID: 29963612

Similar Datasets

Project description:The acceptance of students to a medical school places a considerable emphasis on performance in standardized tests and undergraduate grade point average (uGPA). Traditionally, applicants may be judged as a homogeneous population according to simple quantitative thresholds that implicitly assume a linear relationship between scores and academic success. This 'one-size-fits-all' approach ignores the notion that individuals may show distinct patterns of achievement and follow diverse paths to success. In this study, we examined a dataset composed of 53 variables extracted from the admissions application records of 1,088 students matriculating to NYU School of Medicine between the years 2006-2014. We defined training and test groups and applied K-means clustering to search for distinct groups of applicants. Building an optimized logistic regression model, we then tested the predictive value of this clustering for estimating the success of applicants in medical school, aggregating eight performance measures during the subsequent medical school training as a success factor. We found evidence for four distinct clusters of students-we termed 'signatures'-which differ most substantially according to the absolute level of the applicant's uGPA and its trajectory over the course of undergraduate education. The 'risers' signature showed a relatively higher uGPA and also steeper trajectory; the other signatures showed each remaining combination of these two main factors: 'improvers' relatively lower uGPA, steeper trajectory; 'solids' higher uGPA, flatter trajectory; 'statics' both lower uGPA and flatter trajectory. Examining the success index across signatures, we found that the risers and the statics have significantly higher and lower likelihood of quantifiable success in medical school, respectively. We also found that each signature has a unique set of features that correlate with its success in medical school. The big data approach presented here can more sensitively uncover success potential since it takes into account the inherent heterogeneity within the student population.

Project description:OBJECTIVES:The UK Clinical Aptitude Test (UKCAT) previously piloted an assessment of 'online confidence', where candidates were asked to indicate how confident they were with their answers. This study examines the relationship between these ratings, the odds of receiving an offer to study medicine and subsequent undergraduate academic performance. DESIGN:National cohort study. SETTING:UK undergraduate medical selection. PARTICIPANTS:56?785 UKCAT candidates who sat the test between 2013 and 2016 and provided valid responses to the online confidence pilot study. PRIMARY OUTCOME MEASURES:Two measures of 'online confidence' were derived: the well-established 'confidence bias', and; a novel 'confidence judgement' measure, developed using Item Response Theory in order to derive a more sophisticated metric of the ability to evaluate one's own performance on a task. Regression models investigated the relationships between these confidence measures, application success and academic performance. RESULTS:Online confidence was inversely related to cognitive performance. Relative underconfidence was associated with increased odds of receiving an offer to study medicine. For 'confidence bias' this effect was independent of potential confounders (OR 1.48, 1.15 to 1.91, p=0.002). While 'confidence judgement' was also a univariable predictor of application success (OR 1.22, 1.01 to 1.47, p=0.04), it was not an independent predictor. 'Confidence bias', but not 'confidence judgement', predicted the odds of passing the first year of university at the first attempt, independently of cognitive performance, with relative underconfidence positively related to academic success (OR 3.24, 1.08 to 9.72, p=0.04). No non-linear effects were observed, suggesting no 'sweet spot' exists in relation to online confidence and the outcomes studied. CONCLUSIONS:Applicants who either appear underconfident, or are better at judging their own performance on a task, are more likely to receive an offer to study medicine. However, online confidence estimates had limited ability to predict subsequent academic achievement. Moreover, there are practical challenges to evaluating online confidence in high-stakes selection.

Project description:Introduction: The curricular implementation of events (or programs) for science-related training in human medicine has been on the agenda of the medical faculties since the publication of the Federal-State Working Group [1]. The Medical Faculty of the University of Cologne developed and established a systematic, longitudinal science curriculum together with the start of the model curriculum in human medicine in 2003. Here, we investigate the questions of whether the described (para-) curricular elements are accepted by students and lecturers and how they are evaluated, especially by students. In addition, we investigate whether selected parameters can be used to demonstrate changes in the students' scientific activities. Project description: The program "Research and Medical Studies" (RaMS) consists of several components: these elements of the mandatory curricular (Scientific Projects, SP) and optional components (Research in Medical Studies (RiMS), Research Track (RT), Research Fair Cologne (RFC)) are described here. Results were recorded at various levels: Likert Scale evaluation of the event's elements were collected as satisfaction parameters from the studentsProcess data on participation in the voluntary events were collected and evaluated as absolute and relational figures (WS 12/13-SS 17). Data on the outcome of the RaMS program were collected: Type of scientific projects in the academic years 2011/12-2014/15), number and type of available projects offered at the RFC (in the years 2011-18) and number of student research funding applications in a comparison of the periods 2010-13 vs. 2014-17). Results: The students' acceptance of mandatory and paracurricular courses of the RaMS program is pleasingly high, which is not surprising, at least in the case of the voluntary courses. The participation of students in RiMS, RT and RFC is satisfactory for voluntary courses. In the case of the RT, with certified participation of approximately 47% of all registrations (corresponding to 10% of the total cohort), this is comparable to similar programs. It can be shown that the number of experimental science projects has more than doubled over time in parallel with the development of RaMS. The average number of provided projects according to the RFC is 42 (which corresponds to a placement rate of approx. 1:4). The number of successful student applications for a research support grant during the period the measures were implemented has doubled. Discussion and conclusion: The RaMS program shows a route for the implementation of the SP required by the next licensing regulations in medical education, which was initially supported and expanded solitarily, later by further elements (RiMS), also in the sense of a science-based career development (RT, RFC). The student acceptance and the measured success, in the form of successful participation in the Research Track, increased choice of experimental projects, significant increase of submitted as well as approved research grants and the high project placement rate of the Research Fair, encourage the further development of the program, which is indicated in the conclusion.

Dataset Information

The impact of the program structure at Hannover Medical School on academic success in medical studies.

Publications

The impact of the program structure at Hannover Medical School on academic success in medical studies.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets