Are long hours and hard work detrimental to end-clerkship examination scores?

BACKGROUND: Third-year medical students' complaints focus on the number of hours worked and subsequent lack of study time among three general surgery blocks. We hypothesize that this difference between the surgical blocks does not adversely influence student examination scores. METHODS: Student scores for the academic years 1996-97 to 1997-98 for the National Board of Medical Examiners (NBME) surgery subtests were compiled. A comparison of two "slow" general surgery blocks (B/C) with one "busy" block (A) was made using a two-tailed t test. A multiple regression analysis was also employed. Finally, United States Medical Licensing Examination (USMLE) part I scores were used to determine equivalency of groups. RESULTS: No significant difference existed between block A and blocks B/C in USMLE part I and NBME (P = 0.35 and 0.16 respectively). However, USMLE and rotation sequence influenced NBME scores (P < 0.001). CONCLUSION: The data suggest that no difference exists in examination scores between students assigned to a busy general surgery block versus those students assigned to slow blocks.     

Psychiatric morbidity in stroke patients attending a neurology clinic in Nigeria

Back ground

Stroke produces a wide range of mental and emotional disorders. Neuropsychiatric complications associated with stroke may have negative effects on the social functioning, overall quality of life and the recovery of motor functioning of stroke survivors.

Objective

To determine the prevalence and nature of psychiatric morbidity among stroke patients attending neurology outpatient clinic of the University of Ilorin Teaching Hospital (UITH), Ilorin-Nigeria.

Methods

All patients with stroke aged 18 years and above at an outpatient neurology clinic in Ilorin, Nigeria were assessed for mental and emotional disorders using the Schedule for Clinical Assessment in Neuropsychiatry (SCAN) over one year (March 2009 to February 2010).

Results

Overall prevalence of psychiatric morbidity was 36.0% (30/83) among 83 patients who constituted the study population. Specific diagnoses recorded were depression (19.2%), generalised anxiety disorder (9.6%), harmful alcohol use (2.4%); dementia, somatoform disorder, phobia and delusional disorder each had a prevalence of 1.2%. Clinical and sociodemographic variables were not significantly associated with psychiatric morbidity.

Conclusion

Psychiatric disorders are often associated with stroke. Identifying and treating stroke patients with these psychiatric co-morbidities could thus help to improve the overall quality of life of these patients.