Medical student attitudes toward older people and willingness to consider a career in geriatric medicine.

OBJECTIVES: To evaluate the attitudes of first- and fourth-year medical students toward older people and the relationship between these attitudes and possible career choice. To examine the effects of an intensive geriatric medicine (GM) teaching program on these attitudes and career aspirations. DESIGN: Observational study. SETTING: University of Aberdeen. PARTICIPANTS: Medical students. MEASUREMENTS: In September 2005, first-year students (n=163) at the start of their undergraduate training completed a questionnaire based on the University of California at Los Angeles Geriatrics Attitudes Scale. Students were asked how likely they were to consider a career in GM in the future on a 5-point Likert scale. From the beginning of the academic year 2005/06, fourth-year students completed the same questionnaire before and after an intensive 8-day GM teaching program. RESULTS: First-year medical students had a mean attitude score+/-standard deviation of 3.69+/-0.39. A more-positive attitude increased the likelihood of considering a career in GM (P<.001). Fourth-year students had better attitude scores than first-year students (3.86+/-0.36, P=.002). The GM teaching program did not significantly affect attitude scores but significantly increased the willingness to consider a career in GM by a mean 0.52 points (95% confidence interval=0.35-0.70, P<.001). CONCLUSION: Attitudes toward older people were better in fourth-year than first-year medical students. A more-positive attitude toward older people increased the likelihood of considering a career in GM. An intensive 8-day course in GM had no significant effect on attitudes but increased the likelihood of fourth-year students considering a career in GM.

TIMI Risk Score predicts early readmission.

AIM: To assess if the TIMI Risk Score could predict early readmission. PARTICIPANTS: 869 consecutive admissions to a Scottish district general hospital with suspected acute coronary syndrome. METHODS: A computerised clinical information system was interrogated to verify readmission. Area under the receiver operator characteristic curve and chi-square test for trend between TIMI Risk Score and readmission rate were calculated. RESULTS: Median follow up was 73 days. There was a strong association between TIMI Risk Score and readmission rate (chi-square test for trend, p<0.001), with an area under the receiver operator characteristic curve of 0.60 (95% C.I. 0.55-0.65). CONCLUSION: The TIMI Risk Score can predict readmission. This study reinforces its utility as a tool for identifying patients more likely to benefit from aggressive intervention.