scholarly journals Interprofessional education for health science students’ attitudes and readiness to work interprofessionally: a prospective cohort study

2019 ◽  
Vol 23 (4) ◽  
pp. 337-345 ◽  
Author(s):  
Young Joo Kim ◽  
Jennifer C. Radloff ◽  
C. Kim Stokes ◽  
Christine R. Lysaght
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Interprofessional Education ◽  
Health Science ◽  
Science Students ◽  
Health Science Students ◽  
Students Attitudes

scholarly journals The DiSA-UMH Study: A prospective cohort study in health science students from Miguel Hernández University

2015 ◽  
Vol 20 (1) ◽  
pp. 69 ◽  
Author(s):  
Eva María Navarrete-Muñoz ◽  
Desirée Valera-Gran ◽  
Sandra Gonzalez-Palacios ◽  
Manoli García de la Hera ◽  
Daniel Gimenez-Monzo ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Health Science ◽  
Science Students ◽  
Health Science Students

Introducción: La edad adulta es una etapa importante para el establecimiento de hábitos dietéticos y estilos de vida que pueden estar implicados en el desarrollo de enfermedades crónicas posteriormente. El estudio de cohortes prospectivo con seguimiento a 3 años DiSA-UMH nació con el objetivo de determinar el estado nutricional, estilos de vida y la salud, evaluar los posibles cambios de estos durante el seguimiento y ver cómo influyen en la aparición y desarrollo enfermedades crónicas.Material y Métodos: La información basal de 1204 estudiantes de ciencias de la salud de entre 18 y 35 años de la Universidad Miguel Hernández fue recogida entre los años 2006 y 2012. Todos los participantes autocumplimentaron un cuestionario que incluía un cuestionario de frecuencia de alimentos, preguntas sobre actividad física, consumo de tabaco, alcohol, uso del etiquetado nutricional, peso, talla, tensión arterial sistólica y diastólica y estado de salud, así como preguntas sobre la presencia de diversas enfermedades. Con el fin de validar la información autoaportada, se realizaron específicamente diversos estudios de validación con diferentes submuestras. Tras el cuestionario basal, se les preguntó a los estudiantes para obtener medidas antropométricas y muestra de sangre en ayunas. Para valorar la evaluación de ingesta dietética se recogieron entre 3 y 9 recordatorios de 24 horas realizados por teléfono durante un año.Resultados: En 2015 finalizó el trabajo de campo del primer seguimiento de 3 años, estando aún en marcha el segundo periodo de 3 años de seguimiento. Aunque las tasas de retención durante estos periodos fueron de 59,2% y 52,2% respectivamente, las pérdidas de seguimiento se produjeron de forma aleatoria, ya que las características generales de los que participan y no participan en el seguimiento eran similares.

Predictors of attitudes to e‐learning of Australian health care students

2010 ◽  
Vol 2 (1) ◽  
pp. 60-76 ◽  
Author(s):  
Ted Brown ◽  
Brett Williams ◽  
Shapour Jaberzadeh ◽  
Louis Roller ◽  
Claire Palermo ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Health Science ◽  
Computer Assisted Instruction ◽  
Computer Assisted ◽  
Science Students ◽  
Health Science Students ◽  
E Learning ◽  
Students Attitudes ◽  
Assisted Instruction

Computers and computer‐assisted instruction are being used with increasing frequency in the area of health science student education, yet students’ attitudes towards the use of e‐learning technology and computer‐assisted instruction have received limited attention to date. The purpose of this study was to investigate the significant predictors of health science students’ attitudes towards e‐learning and computer‐assisted instruction. All students enrolled in health science programmes (n=2885) at a large multi‐campus Australian university in 2006‐2007, were asked to complete a questionnaire. This included the Online Learning Environment Survey (OLES), the Computer Attitude Survey (CAS), and the Attitude Toward Computer‐Assisted Instruction Semantic Differential Scale (ATCAISDS). A multiple linear regression analysis was used to determine the significant predictors of health science students’ attitudes to e‐learning. The Attitude Toward Computers in General (CASg) and the Attitude Toward Computers in Education (CASe) subscales from the CAS were the dependent (criterion) variables for the regression analysis. A total of 822 usable questionnaires were returned, accounting for a 29.5 per cent response rate. Three significant predictors of CASg and five significant predictors of CASe were found. Respondents’ age and OLES Equity were found to be predictors on both CAS scales. Health science educators need to take the age of students and the extent to which students perceive that they are treated equally by a teacher/tutor/instructor (equity) into consideration when looking at determinants of students’ attitudes towards e‐learning and technology.

scholarly journals Exploring student awareness on critical factors which shape community engagement in the health science disciplines at a South African higher education institution

2019 ◽  
Author(s):  
Angeni Bheekie ◽  
Mea van Huyssteen ◽  
Hester Julie
Keyword(s):  
South African ◽  
Professional Practice ◽  
Interprofessional Education ◽  
Health Science ◽  
Western Cape ◽  
Science Students ◽  
Critical Factors ◽  
Self Assessment ◽  
Health Science Students ◽  
The University

Abstract Background Community Engagement (CE) is cornerstone to South Africa’s higher education transformative agenda. Teaching disciplines across faculties have adopted varied CE implementation strategies, due to different theoretical interpretations. Undergraduate health science students are traditionally exposed to CE experiential learning programs, preparing them for professional practice. This study investigated final year students’ awareness of the critical factors which shape CE in the health science disciplines at a South African university.Method An exploratory descriptive qualitative study was conducted at an engaged university located in the Western Cape. Five discipline- specific focus group discussions were conducted with twenty seven final year students, purposively selected from five health sciences faculties, using an adaption of Furco’s self-assessment rubric. Thematic analysis was conducted on the transcribed data to identify the factors deemed critical for CE using Furco’s self-assessment tool as the coding framework. Trustworthiness of the data and findings were ensured. Ethics approval was obtained indicating that the research satisfied the ethics principles related to informed consent, respect for the participants ‘rights in terms of privacy, autonomy, beneficence and confidentiality.Results The a priori t hemes identified were the university’s philosophy and mission related to CE, student involvement, faculty involvement, community participation and partnerships and institutional support for CE. The cross-cutting themes that emerged across these critical factors of Furco’ included: siloism in the university, interprofessional education and monitoring and evaluation for impact. These health science students indicated that CE awareness was limited to discipline-based programs, indicative of a siloed approach. In addition, varied theoretical interpretations of CE emerged. Interprofessional education was lacking across the disciplines, even though it underpins professional practice. Participants reiterated that a central CE unit is required to co-ordinate and evaluate CE programs. Occupational therapy participants, however, reflected a critical consciousness that is congruent with an assets-based approach to CE.Conclusion The University of the Western Cape should facilitate stewardship in implementing Boyer’s 'scholarship of engagement' to ensure consistency in CE approach in the health science curriculum. Such an approach would deepen students understanding and application of CE.

scholarly journals Are learning style preferences of health science students predictive of their attitudes towards e-learning?

2009 ◽  
Vol 25 (4) ◽  
Author(s):  
Ted Brown ◽  
Maryam Zoghi ◽  
Brett Williams ◽  
Shapour Jaberzadeh ◽  
Louis Roller ◽  
...  
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Linear Regression Analysis ◽  
Health Science ◽  
Science Students ◽  
Health Science Students ◽  
Learning Style Preferences ◽  
E Learning ◽  
Students Attitudes ◽  
Style Preferences

<span>The objective for this study was to determine whether learning style preferences of health science students could predict their attitudes to e-learning. A survey comprising the </span><em>Index of Learning Styles</em><span> (ILS) and the </span><em>Online Learning Environment Survey</em><span> (OLES) was distributed to 2885 students enrolled in 10 different health science programs at an Australian university. A total of 822 useable surveys were returned generating a response rate of 29.3%. Using </span><em>SPSS</em><span>, a linear regression analysis was completed. On the ILS Active-Reflective dimension, 44% of health science students reported a preference as being active learners, 60% as sensing learners, and 64% as sequential learners. Students' attitudes toward e-learning using the OLES showed that their </span><em>preferred</em><span> scores for all 9 subscales were higher than their </span><em>actual</em><span> scores. The linear regression analysis results indicated that ILS learning styles accounted for a small percentage of the OLES </span><em>actual</em><span> and </span><em>preferred</em><span> subscales' variance. For the OLES </span><em>actual</em><span> subscales, the ILS Active-Reflective and Sensing-Intuitive learning style dimensions were the most frequent predictors of health science students' attitudes towards e-learning. For the OLES </span><em>preferred</em><span> subscales, ILS Active-Reflective and Sequential-Global learning style dimensions accounted for the most frequent source of variance. It appears that the learning styles of health science students (as measured by the ILS) can be used only to a limited extent as a predictor of students' attitudes towards e-learning. Nevertheless, educators should still consider student learning styles in the context of using technology for instructional purposes.</span>

scholarly journals Changes in Physical Activity Among University Students in Indonesia from Before to During the COVID-19 Pandemic: A Retrospective Cohort Study

2021 ◽  
Vol 30 ◽  
pp. 128-146
Author(s):  
Dicky Moch Rizal ◽  
◽  
Rakhmat Ari Wibowo ◽  
Keyword(s):  
Physical Activity ◽  
Cohort Study ◽  
University Students ◽  
Retrospective Cohort ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Health Science ◽  
Science Students ◽  
Health Science Students ◽  
Containment Measures

University life is an important phase for forming healthy physical activity habits among university students. However, little is known about the change in physical activity level during the COVID-19 pandemic among university students in Indonesia, which has a low stringency index. A retrospective cohort study was conducted among students of Universitas Gadjah Mada (n=153) from October to November 2020, where there were asked to recall their physical activity level and type of physical activity engaged in at four points of time: before the pandemic, early pandemic, Ramadan period, and relaxation period. Then, we conducted three-way mixed analyses of variance followed by Bonferroni’s post hoc comparisons tests to compare the mean difference of total moderate-vigorous physical activity with a subject over time and between subgroups in a similar time. Containment measures during the pandemic resulted in a 69.4-minute drop (95% confidence interval: 40.1 to 98.7 minutes, p<.001) of total moderate-vigorous physical activity. While the relaxation of containment measures could restore non-health natural science students’ physical activity to the pre-pandemic amount, it did not influence health science students’ physical activity. Our findings provide evidence that pandemic situations in a low stringency index country also affected physical activity behavior among university students. More efforts are needed to increase university students’ physical activity during the COVID-19 pandemic, particularly among health science students.

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