Evidence for motivational interviewing in educational settings among medical schools: a scoping review.

BACKGROUND: Motivational interviewing (MI) is a person-centred approach focused on empowering and motivating individuals for behavioural change. Medical students can utilize MI in patient education to engage with patients' chronic health ailments and maladaptive behaviours. A current scoping review was conducted to 1) determine the types of MI (conventional, adapted, brief and group MI) education programs in medical schools, delivery modalities and teaching methods used; 2) classify educational outcomes on the basis of Kirkpatrick's hierarchy; and 3) determine the key elements of MI education via the FRAMES (feedback, responsibility, advice, menu of options, empathy, self-efficacy) model. METHODS: This scoping review was conducted via the framework outlined by Arksey and O'Malley. Two online databases, CINAHL and MEDLINE Complete, were searched to identify MI interventions in medical education. Further articles were selected from bibliography lists and the Google Scholar search engine. RESULTS: From an initial yield of 2019 articles, 19 articles were included. First, there appears to be a bimodal distribution of most articles published between the two time periods of 2004--2008 and 2019--2023. Second, all the studies included in this review did not use conventional MI but instead utilized a variety of MI adaptation techniques. Third, most studies used face-to-face training in MI, whereas only one study used online delivery. Fourth, most studies have used a variety of interactive experiences to teach MI. Next, all studies reported outcomes at Kirkpatrick's Level 2, but only 4 studies reported outcomes at Kirkpatrick's Level 3. According to the FRAMES model, all studies (n=19; 100%) reported the elements of responsibility and advice. The element that was reported the least was self-efficacy (n = 12; 63.1%). CONCLUSION: Our findings suggest that motivational interviewing can be taught effectively in medical schools via adaptations to MI and a variety of teaching approaches. However, there is a need for further research investigating standardized MI training across medical schools, the adequate dose for training in MI and the implementation of reflective practices. Future studies may benefit from exploring and better understanding the relationship between MI and self-efficacy in their MI interventions.

The relationship of smartphone addiction with psychological distress and neuroticism among university medical students.

BACKGROUND: Smartphone plays a vital role in higher education as it serves as a device with multiple functions. Smartphone addiction was reported on the rise among college and university students. The addiction may result in unwanted consequences on their academic performance and psychological health. One factor that consistently relates to psychological distress and smartphone addiction is the neurotic personality trait. This study explored the relationship of smartphone addiction with psychological health and neuroticism among USM medical students. METHODS: A cross-sectional study was carried out on medical students in a public medical school. DASS-21, the neuroticism-subscale of USMaP-i and SAS-SV were administered to measure psychological distress, neuroticism, and smartphone addiction of the medical students. Spearman correlation was performed to examine the correlation between smartphone addiction with psychological distress and neuroticism. Simple linear regression was performed to investigate relationship factors of smartphone addiction. RESULTS: A total of 574 medical students participated in this study. The prevalence of smartphone addiction was 40.6%. It was higher among male (49.2%) compared to female (36.6%) medical students. The result showed a fair positive correlation between smartphone addiction and psychological health (rdepression = 0.277, p-value < 0.001; ranxiety = 0.312, p-value < 0.001; rstress = 0.329, p-value < 0.001). However, there was a poor positive correlation between smartphone addiction and neuroticism (r = 0.173, p-value < 0.001). The simple linear regression showed a significant increase in the levels of depression, anxiety, stress and neuroticism upon one unit increase in smartphone addiction (bdepression = 0.101, p-value < 0.001; banxiety = 0.120, p-value < 0.001; bstress = 0.132, p-value < 0.001; bneuroticism = 0.404, p-value < 0.05). These results indicated significant relationships between smartphone addiction, psychological health and neuroticism. CONCLUSION: This study suggested a high prevalence of smartphone addiction among medical students, particularly in male medical students. The smartphone addiction might lead to psychological problems and the most vulnerable group is the medical student with the neurotic personality trait.