Dataset Information

Does MMPI assessed at medical school admission predict psychological problems in later years?

ABSTRACT:

Objective

Psychological distress among medical students is related to personality. The Minnesota Multiphasic Personality Inventory (MMPI) is a common instrument used to assess personality and psychological problems during the medical school admission process in Thailand. The purpose of this study was to examine how the MMPI can predict medical students' psychological problems including perceived stress, anxiety, depression, interpersonal difficulties as well as self-esteem in later years.

Results

Anxiety and depressive symptoms were predicted by the psychopathic deviation, psychasthenia, and schizophrenia scales of the MMPI, while perceived stress was predicted by schizophrenia scale of MMPI. Social introversion predicted interpersonal difficulties. No MMPI scale was found to predict self-esteem.

SUBMITTER: Thongpibul K

PROVIDER: S-EPMC6683350 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Does MMPI assessed at medical school admission predict psychological problems in later years?

Thongpibul Kulvadee K Varnado Pairada P Wongpakaran Nahathai N Wongpakaran Tinakon T Kuntawong Pimolpun P Wedding Danny D

BMC research notes 20190805 1

<h4>Objective</h4>Psychological distress among medical students is related to personality. The Minnesota Multiphasic Personality Inventory (MMPI) is a common instrument used to assess personality and psychological problems during the medical school admission process in Thailand. The purpose of this study was to examine how the MMPI can predict medical students' psychological problems including perceived stress, anxiety, depression, interpersonal difficulties as well as self-esteem in later years ...[more]

PMID: 31382988

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Project description:Objectives: A potential new avenue to address the shortage of country doctors is to change the rules for admission to medical school. We therefore study the link between high-school grade point average and prospective physicians' choice to work in rural areas. To further inform the discussion about rules for admission, we also study the effects of other predictors: a measure of students' attitudes towards risk; whether they waited for their place of study (Wartesemester); whether their parents worked as medical doctors; and whether they have some practical experience in the medical sector. Methods: We conducted two internet surveys in 2012 and 2014. In the first survey, the sample comprised 701 students and in the second, 474 students. In both surveys, we asked students for their regional preferences; in the 2014 survey, we additionally asked students for their first, second, and third preferences among a comprehensive set of specializations, including becoming a general practitioner. In both surveys, we asked students for basic demographic information (age and gender), their parents' occupation, a measure of subjective income expectations, a measure of risk attitudes, and their high-school grade point average (Abiturnote), and First National Boards Examination grade (Physikum). In 2014, we additionally asked for waiting periods (Wartesemester) as well as for prior professional experience in the health-care sector. Results: We find that three factors increase the probability of having a preference for working in a rural area significantly, holding constant all other influences: having a medical doctor among the parents, having worse grades in the high-school grade point average, and being more risk averse. Moreover, we find that those willing to work in the countryside have significantly more experience in the medical sector before admission to medical school. Discussion: Our results suggest that a change in the selection process for medical school may increase the supply of country doctors. Instead of focusing on the high-school grade point average, universities could even more intensely screen for study motivation through interviews or by taking into account students' background, extracurricular activities, or waiting periods.

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.

Dataset Information

Does MMPI assessed at medical school admission predict psychological problems in later years?

Objective

Results

Publications

Does MMPI assessed at medical school admission predict psychological problems in later years?

Similar Datasets

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