Ellias Samia D, Shah Henal R
Department of Psychiatry, Topiwala National Medical College and BYL Charitable Nair Hospital, Mumbai, Maharashtra, India.
Ann Indian Acad Neurol. 2019 Apr-Jun;22(2):164-169. doi: 10.4103/aian.AIAN_486_17.
This study is to study the knowledge and awareness on autism among medical students and the factors which impact their knowledge on autism.
For the study, a multicenter cross-sectional research has been carried out among medical students in seven medical colleges in Mumbai.
A total of 201 final-year medical students from seven medical colleges in Mumbai completed the knowledge on childhood autism among healthcare workers (KCAHW) survey and a semi-structured pro forma. Of the 201 students, 152 are from the public medical colleges and 37 from the private medical colleges.
Data collected have been represented in the form of frequency and percentage. SPSS 20.0 is used to analyze the mean distribution of KCAHW scores. A value of < 0.05 is regarded as statistically significant.
The total mean score in the KCAHW questionnaire is 11.85 ± 3.15 out of 19. This is considered as poor knowledge. Our study reveals that students' knowledge on autism is limited. Knowledge gaps identified in certain autism spectrum disorder (ASD) symptoms are associated with the obsessive and compulsive repetitive pattern of behavior and that autism is associated with epilepsies.
It is thus important that these children displaying ASD symptoms are diagnosed correctly and at the earliest. To enable this, doctors in all fields must be able to accurately identify the diagnostic features of autism both within and outside the four walls of the hospital.
本研究旨在探讨医学生对自闭症的知识和认知,以及影响他们自闭症知识的因素。
本研究在孟买七所医学院的医学生中开展了一项多中心横断面研究。
孟买七所医学院的201名医学专业最后一年的学生完成了医护人员儿童自闭症知识(KCAHW)调查及一份半结构化表格。在这201名学生中,152名来自公立医学院,37名来自私立医学院。
收集到的数据以频率和百分比的形式呈现。使用SPSS 20.0分析KCAHW分数的均值分布。P<0.05被视为具有统计学意义。
KCAHW问卷的总平均分数在19分中为11.85±3.15分。这被认为知识水平较差。我们的研究表明,学生对自闭症的知识有限。在某些自闭症谱系障碍(ASD)症状中发现的知识差距与强迫性重复行为模式有关,且自闭症与癫痫有关。
因此,重要的是这些表现出自闭症谱系障碍症状的儿童能得到正确且尽早的诊断。为实现这一点,所有领域的医生都必须能够在医院内外准确识别自闭症的诊断特征。