TY - JOUR
T1 - Recognition of mental disorders
T2 - Findings from a cross-sectional study among medical students in Singapore
AU - Picco, Louisa
AU - Seow, Esmond
AU - Chua, Boon Yiang
AU - Mahendran, Rathi
AU - Verma, Swapna
AU - Chong, Siow Ann
AU - Subramaniam, Mythily
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Objectives: 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. Design: Cross-sectional online survey. Participants: Medical students studying in Singapore. Methods: 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. Results: 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. Conclusion: 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.
AB - Objectives: 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. Design: Cross-sectional online survey. Participants: Medical students studying in Singapore. Methods: 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. Results: 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. Conclusion: 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.
KW - mental health
KW - psychiatry
UR - http://www.scopus.com/inward/record.url?scp=85051192992&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2017-019038
DO - 10.1136/bmjopen-2017-019038
M3 - Article
C2 - 29273669
AN - SCOPUS:85051192992
VL - 7
JO - BMJ Open
JF - BMJ Open
SN - 2044-6055
IS - 12
M1 - e019038
ER -