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1.
Front Public Health ; 12: 1332884, 2024.
Article in English | MEDLINE | ID: mdl-38689768

ABSTRACT

Background: In this study, we investigated the association between motivation, cognitive load, difficulty, and performance in a stroke education outreach program implemented for middle school students. Methods: Various interactive instructional activities were developed to engage students throughout the program to assess cognitive and intrinsic load arising from learner implementation of various tasks in a stroke education program for middle school kids. Performance was measured using a post-test to assess knowledge gained by the 6th, 7th, and 8th-grade middle school students. A short questionnaire was also administered to collect data on students' motivation using the ARCS model to asses attention, relevance, confidence, and satisfaction. In addition, we evaluated difficulty level and cognitive load. The relationship between performance and motivation was assessed using Pearson's correlation. Results: In our results, there was no significant difference (p > 0.05) in performance between the 6th, 7th, and 8th-grade students. The difference in performance, cognitive load (mental effort and difficulty), or motivation between the 6th, 7th, and 8 t-grade students was not significant (p > 0.05). The correlation between motivation and performance was significant (r = 0.87, p = 0.001), while the correlation between mental effort and performance was not significant (r = 0.34, p = 0.270). Also, the correlation between difficulty and performance was not significant (r = 0.38, p = 0.361). In the ARCS motivation model, attention, and confidence received the lowest mean scores (3.9), while relevance received the highest score (4.3). Conclusion: Our findings reveal the importance of implementing novel activities to enhance students' motivation to improve performance in the implementation of stroke education outreach programs for middle school students.


Subject(s)
Cognition , Motivation , Stroke , Students , Humans , Female , Male , Adolescent , Students/psychology , Child , Stroke/prevention & control , Health Education/methods , Surveys and Questionnaires , Schools
4.
6.
Urology ; 162: 121-127, 2022 04.
Article in English | MEDLINE | ID: mdl-34175332

ABSTRACT

OBJECTIVE: To address healthcare inequities, diversifying the physician workforce is an important step, and improved efforts to recruit Underrepresented in Medicine (URiM) students is vital. We aim to examine the current state of minority recruitment and provide solutions to increase diversity in urology residency training. METHODS: We conducted a retrospective analysis of self-reported race and ethnicity data for active urology trainees using the Data Resource Book by the Accreditation Council of Graduate Medical Education from 2011 to 2020. We also performed a longitudinal analysis comparing the number of urology applicants to urology trainees from 2016 to 2020 using the Electronic Residency Application Service statistics database. URiMs were designated in alignment with ACGME definitions. Categorical variables were summarized as frequencies and percentages and compared using chi-squared test between race and ethnicity. RESULTS: We identified 11,458 active urology trainees for analysis. Of these, 6638 (57.9%) identified as White, 1690 (14.7%) as Asian/Pacific Islander, 442 (3.9%) as Hispanic, 380 (3.3%) as Black, 11 (0.1%) as Native American, 608 (5.3%) as other race/ethnicity, and 1689 (14.7%) as unknown race or ethnicity. In 2011, 8.1% of trainees identified as URiM which remains the same at 8.2% in 2020. CONCLUSION: As we strive to improve patient care and support our URiM colleagues, diversity, equity, and inclusion must be prioritized. Despite increases in students entering medical school and the expansion of urology training spots, the numbers of URiM in urologic training remain stubbornly unchanged. This work highlights an area of residency training that requires critical transformation.


Subject(s)
Urology , Cultural Diversity , Humans , Minority Groups/education , Pilot Projects , Retrospective Studies
8.
Med Sci Educ ; 30(3): 1177-1185, 2020 Sep.
Article in English | MEDLINE | ID: mdl-34457780

ABSTRACT

BACKGROUND: The integration of patient encounters into the first year of the medical school curriculum is known to be of vital importance in the development of critical thinking and communication skills. We investigated whether exposure of first year medical students to patient encounters during a first year medical school neuroscience course result in a high level of motivation associated with the clinical encounter, and whether this high level of motivation translates to higher academic performance as measured by their performance on formative and summative examinations. METHODS: First year medical students interacted with patients presenting with different neurological disorders in a small group informal session. Following the small group interactions with patients, students participated in a large group debriefing session involving discussions with peers, biomedical sciences faculty, and clinicians. Students then completed a survey designed to assess their motivation in correspondence with the Attention, Relevance, Confidence, and Satisfaction (ARCS) model of motivation. These results were then correlated with students' performance in the neuroscience examinations. RESULTS: The total mean score was high for all categories of the ARCS model of motivation (4.26/5) and was highest for Relevance (4.46/5). When these motivation scores were correlated with students' performance on the formative and summative examinations, a significant positive correlation was found between motivation and performance on both the formative (r = 0.85) and summative (r = 0.95) neuroscience examinations. CONCLUSION: Encounters with patients presenting with neurological disorders during a first year medical neuroscience course result in a high level of motivation associated with the clinical encounter, and this was positively correlated with their academic performance.

9.
MedEdPublish (2016) ; 8: 159, 2019.
Article in English | MEDLINE | ID: mdl-38089268

ABSTRACT

This article was migrated. The article was marked as recommended. Problem: Innovations within the medical education system often come from administration and leadership, in the traditional top-down approach to preparing students for the actualities of medical practice. There is a dearth of literature showing the power of students to design and advance innovations in this same arena. As incoming classes of students are increasingly more diverse, student efforts for diversity and inclusion initiatives must be explored as avenues to effect positive change within the system. Approach: Medical students at the University of South Carolina School of Medicine Greenville (UofSC SOM Greenville) formed the committee known as Student Advocates for Diversity and Inclusion (SADI) in Fall 2017, with the goals of enhancing the curriculum, increasing the visibility of diverse peoples within the medical school and the healthcare system, and supporting the experience of these peoples. Outcomes: The report herein describes the formation of the Student Advocates for Diversity and Inclusion and its initial steps, including the modification of curricular practices and the development of extracurricular programs. Conclusion: SADI may serve as one example of the power of students to transform medical education. Other students and schools can use the committee and its successes and challenges to implement similar programs at their respective institutions, with the goal of achieving diversity and inclusion more broadly across the medical education system.

10.
Lipids Health Dis ; 17(1): 226, 2018 Sep 27.
Article in English | MEDLINE | ID: mdl-30261884

ABSTRACT

BACKGROUND: Clinical risk factors related to not administering thrombolysis to acute ischemic stroke patients with incidence dyslipidemia is not clear. This issue was investigated in telestroke and non-telestroke settings. METHODS: We analyzed retrospective data collected from a stroke registry to compare exclusion risk factors in the telestroke and non-telestroke. We performed multivariate analysis was performed to identify risk factors that may result in exclusion from rtPA. Variance inflation factors were used to examine multicollinearity and significant interactions between independent variables in the model, while Hosmer-Lemeshow test, Cox & Snell were used to determine the fitness of the regression models. RESULTS: A greater number of patients with acute ischemic stroke with incidence dyslipidemia were treated in the non-telestroke (285) when compared with the telestroke network (187). Although non-telestroke admitted more patients than the telestroke, the telestroke treated more patients with rtPA (89.30%) and excluded less (10.70%), while the non-telestroke excluded from rtPA (61.40%). In the non-telestroke, age (adjusted OR, 0.965; 95% CI, 0.942-0.99), blood glucose level (adjusted OR, 0.995; 95% CI, 0.99-0.999), international normalized ratio (adjusted OR, 0.154; 95% CI, 0.031-0.78),congestive heart failure(CHF) (adjusted OR, 0.318; 95% CI, 0.109-0.928), previous stroke (adjusted OR, 0.405; 95% CI, 0.2-0.821) and renal insufficiency (adjusted OR, 0.179; 95% CI, 0.035-0.908) were all directly linked to exclusion from rtPA. In the telestroke, only body mass index (adjusted OR, 0.911; 95% CI, 0.832-0.997) significantly excluded acute ischemic stroke patients with incidence dyslipidemia from thrombolysis therapy. CONCLUSION: Despite having more patients with acute ischemic stroke that present incidence dyslipidemia, the non-telestroke patients had more clinical risk factors that excluded more patients from rtPA when compared with telestroke. Future studies should focus on how identified clinical risk factors can be managed to improve the use of rtPA in the non-telestroke setting. Moreover, the optimization of the risk-benefit ratio of rtPA by the telestroke technology can be advanced to the non-telestroke setting to improve the use of thrombolysis therapy.


Subject(s)
Dyslipidemias/therapy , Stroke/therapy , Telemedicine , Thrombolytic Therapy/adverse effects , Adult , Age Factors , Aged , Aged, 80 and over , Body Mass Index , Dyslipidemias/complications , Dyslipidemias/epidemiology , Dyslipidemias/physiopathology , Female , Humans , Male , Middle Aged , Risk Assessment , Risk Factors , Stroke/complications , Stroke/epidemiology , Stroke/physiopathology , Time Factors
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