Research Division, Institute of Mental Health, Singapore.
Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
BMJ Open. 2017 Dec 21;7(12):e019038. doi: 10.1136/bmjopen-2017-019038.
To assess recognition of five mental disorders (alcohol abuse, dementia, depression, obsessive-compulsive disorder (OCD) and schizophrenia) among a sample of medical students using a vignette-based approach. Socio-demographic predictors of correct recognition were also explored.
Cross-sectional online survey.
Medical students studying in Singapore.
This was a cross-sectional online study among medical students (n=502) who were randomly assigned one of the five vignettes. Students were instructed to read the vignette, then answer the open text question, 'What do you think the person in the vignette is suffering from?' Multiple logistic regression was performed to determine the predictors of correct recognition.
81.7% could correctly recognise the condition described in the vignette. Depression was most well recognised (93.0%), followed by alcohol abuse (89.0%), OCD (87.1%) and dementia (79.2%), while only 60.0% of students correctly recognised schizophrenia. Females were significantly more likely to correctly recognise the disorders, while the odds of correct recognition were significantly higher among fourth-year and fifth-year students compared with first-year students. Compared with depression, dementia and schizophrenia were significantly more likely to be mislabelled.
While overall correct recognition was high (81.7%), this did vary by disorder, where schizophrenia (60%) was the most poorly recognised condition. Given that primary care providers are often the first professional help-seeking source for people with mental health problems, medical students should be equipped with the skills and ability to recognise signs and symptoms of various mental illnesses.
通过基于病例的方法评估医学生对五种精神障碍(酒精滥用、痴呆、抑郁、强迫症(OCD)和精神分裂症)的识别,探讨正确识别的社会人口学预测因素。
横断面在线调查。
在新加坡学习的医学生。
这是一项针对医学生(n=502)的横断面在线研究,他们被随机分配到五个病例之一。学生被指示阅读病例,然后回答开放文本问题,“你认为病例中的人患有什么病?”采用多因素逻辑回归分析确定正确识别的预测因素。
81.7%的学生能够正确识别病例中描述的疾病。抑郁(93.0%)识别率最高,其次是酒精滥用(89.0%)、强迫症(87.1%)和痴呆(79.2%),而只有 60.0%的学生正确识别了精神分裂症。女性更有可能正确识别这些疾病,而与一年级学生相比,四年级和五年级学生正确识别的几率明显更高。与抑郁相比,痴呆和精神分裂症更有可能被错误归类。
尽管总体正确识别率较高(81.7%),但不同疾病的识别率有所不同,其中精神分裂症(60%)的识别率最低。由于初级保健提供者通常是寻求心理健康问题帮助的第一个专业人员,医学生应该具备识别各种精神疾病的症状和体征的技能和能力。