No abstract

Background In 2013, Taiwan launched a curriculum reform—the 7-year undergraduate medical education program was shortened to 6 years. This study explored the evaluation results from students regarding the curriculum reform and investigated graduates’ perceptions regarding the curriculum organization of the two academic training programs affected by this curricular reform. Methods A cross-sectional survey was conducted from May 14 to June 12, 2019. The 315 graduates from both the 7-year and 6-year curriculum programs in the same medical school in Taipei were invited to participate in this study. In total, 197 completed questionnaires were received, representing a response rate of 62.5%. The results of the principal component analysis confirmed the validity of the constructs employed in this self-administered questionnaire. Results The t-test results yielded two main findings. First, the graduates from the 6-year program had significantly lower scores for preparedness for the upcoming postgraduate-year residency training than did their 7-year program counterparts. Additionally, the male graduates had significantly higher scores in terms of perceptions regarding curriculum organization and preparedness for postgraduate-year residency training than the female graduates. The results of stepwise regression also indicated that the sex difference was significantly correlated with graduates’ readiness for their postgraduate-year residency training. Conclusion To avoid sex disparities in career development, a further investigation of female medical students’ learning environment and conditions is necessary. In addition to the cross-sectional study of students’ perceptions, further repeated measurements of the objective academic or clinical performance of graduates in clinical settings are desirable.

This study examined the relationship between the personal predisposing factors of patients and the severity of pressure injuries (PIs) developed during surgery. This retrospective cohort study collected 439 cases of peri‐operative PIs. Using binary logistic regression to identify the variables associated with PI severity, the effects of interactions between associated variables were then tested. The results of this study revealed that among the personal predisposing factors, only higher patient age (P = .001) and higher body mass index (P < .001) posed a greater risk of stage 2 PIs or higher. Among the surgery‐related facilitating factors, only patients who were placed in the prone position during surgery and patients who lost ≥1000 mL of blood during surgery were at greater risk of stage 2 PIs or higher, compared, respectively, to those placed in the supine position and those who lost ≤100 mL of blood. Furthermore, the amount of blood lost during surgery moderated the influence of age on PI severity. For elderly patients who are expected to lose a large blood volume during surgery or lose an immeasurable amount of blood due to the use of cardiopulmonary bypass, taking more precautionary measures to prevent PIs is recommended.

Background Studies on examining the relationship between physical activity patterns and frailty are lacking. This study examined physical activity patterns in older people and investigated the relationship between physical activity and frailty as well as identifying the predictors of frailty. Methods We used a nationally representative longitudinal database, the Taiwan Longitudinal Study of Aging (TLSA) database, and data for a 20-year period were extracted and analyzed. A total of 5131 participants aged ≥ 60 years in 1996 were included in the current analysis. Information regarding demographic characteristics, frailty, physical activity, comorbidities, oral health, and depressive symptoms was extracted from the TLSA database. Physical activity patterns were examined using group-based trajectory modeling from 1996 to 2015. Potential predictors were examined by performing multivariate logistic regression. Results Four trajectories of the physical activity pattern were found: consistently physically inactive (33.7%), consistently physically active (21.5%), incline (21.6%), and decline (23.2%). Throughout the period, the trajectories of the four groups significantly differed from each other at year 2015, with the incline and decline groups exhibiting the lowest and highest frailty scores, respectively (p < 0.001). Older age, male, poor oral health, diabetes, chronic kidney disease, and depressive symptoms were identified as risk factors for frailty. Conclusion Physical activity reduces the risk of chronic conditions, which contributes to healthy longevity. This study can guide the development of future research and interventions to manage frailty in older people, particularly in considering previous physical activity trajectories within the life course.