MyMedR

Displaying publications 21 - 40 of 909 in total

Abstract:

Sort:

Clinical supervisors' and students' perspectives on preparedness for veterinary workplace clinical training: An international study

Routh J, Paramasivam SJ, Cockcroft P, Wood S, Remnant J, Westermann C, et al.

Vet Rec, 2023 Nov 18;193(10):e3504.
PMID: 37955283 DOI: 10.1002/vetr.3504

BACKGROUND: The alignment of student and workplace supervisors' perspectives on student preparedness for veterinary workplace clinical training (WCT) is unknown, yet misalignment could negatively impact workplace learning. The aim of this study was to quantify the relative importance of WCT preparedness characteristics according to students and supervisors and to identify differences.
METHODS: A survey was completed by 657 veterinary students and 244 clinical supervisors from 25 veterinary schools, from which rankings of the preparedness characteristics were derived. Significant rank differences were assessed using confidence intervals and permutation tests.
RESULTS: 'Honesty, integrity and dependability' was the most important characteristic according to both groups. The three characteristics with the largest rank differences were: students' awareness of their own and others' mental wellbeing and the importance of self-care; being willing to try new practical skills with support (students ranked both of these higher); and having a clinical reasoning framework for common problems (supervisors ranked higher).
LIMITATIONS: Using pooled data from many schools means that the results are not necessarily representative of the perspectives at any one institution.
CONCLUSION: There are both similarities and differences in the perspectives of students and supervisors regarding which characteristics are more important for WCT. This provides insights that can be used by educators, curriculum developers and admissions tutors to improve student preparedness for workplace learning.

Matched MeSH terms: Learning
Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model

Dikshit A, Pradhan B, Alamri AM

Sci Total Environ, 2021 Feb 10;755(Pt 2):142638.
PMID: 33049536 DOI: 10.1016/j.scitotenv.2020.142638

Drought forecasting with a long lead time is essential for early warning systems and risk management strategies. The use of machine learning algorithms has been proven to be beneficial in forecasting droughts. However, forecasting at long lead times remains a challenge due to the effects of climate change and the complexities involved in drought assessment. The rise of deep learning techniques can solve this issue, and the present work aims to use a stacked long short-term memory (LSTM) architecture to forecast a commonly used drought measure, namely, the Standard Precipitation Evaporation Index. The model was then applied to the New South Wales region of Australia, with hydrometeorological and climatic variables as predictors. The multivariate interpolated grid of the Climatic Research Unit was used to compute the index at monthly scales, with meteorological variables as predictors. The architecture was trained using data from the period of 1901-2000 and tested on data from the period of 2001-2018. The results were then forecasted at lead times ranging from 1 month to 12 months. The forecasted results were analysed in terms of drought characteristics, such as drought intensity, drought onset, spatial extent and number of drought months, to elucidate how these characteristics improve the understanding of drought forecasting. The drought intensity forecasting capability of the model used two statistical metrics, namely, the coefficient of determination (R2) and root-mean-square error. The variation in the number of drought months was examined using the threat score technique. The results of this study showed that the stacked LSTM model can forecast effectively at short-term and long-term lead times. Such findings will be essential for government agencies and can be further tested to understand the forecasting capability of the presented architecture at shorter temporal scales, which can range from days to weeks.

Matched MeSH terms: Machine Learning
Regional suitability prediction of soil salinization based on remote-sensing derivatives and optimal spectral index

Wang Z, Zhang F, Zhang X, Chan NW, Kung HT, Ariken M, et al.

Sci Total Environ, 2021 Feb 12;775:145807.
PMID: 33618298 DOI: 10.1016/j.scitotenv.2021.145807

Soil salinization is an extremely serious land degradation problem in arid and semi-arid regions that hinders the sustainable development of agriculture and food security. Information and research on soil salinity using remote sensing (RS) technology provide a quick and accurate assessment and solutions to address this problem. This study aims to compare the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction and exploration of the potential application of derivatives to RS prediction of salinized soils. It explores the ability of derivatives to be used in the Landsat-8 OLI and Sentinel-2A MSI multispectral data, and it was used as a data source as well as to address the adaptability of salinity prediction on a regional scale. The two-dimensional (2D) and three-dimensional (3D) optimal spectral indices are used to screen the bands that are most sensitive to soil salinity (0-10 cm), and RS data and topographic factors are combined with machine learning to construct a comprehensive soil salinity estimation model based on gray correlation analysis. The results are as follows: (1) The optimal spectral index (2D, 3D) can effectively consider possible combinations of the bands between the interaction effects and responding to sensitive bands of soil properties to circumvent the problem of applicability of spectral indices in different regions; (2) Both the Landsat-8 OLI and Sentinel-2A MSI multispectral RS data sources, after the first-order derivative techniques are all processed, show improvements in the prediction accuracy of the model; (3) The best performance/accuracy of the predictive model is for sentinel data under first-order derivatives. This study compared the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction in finding the potential application of derivatives to RS prediction of salinized soils, with the results providing some theoretical basis and technical guidance for salinized soil prediction and environmental management planning.

Matched MeSH terms: Machine Learning
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

He Q, Shahabi H, Shirzadi A, Li S, Chen W, Wang N, et al.

Sci Total Environ, 2019 May 01;663:1-15.
PMID: 30708212 DOI: 10.1016/j.scitotenv.2019.01.329

Landslides are major hazards for human activities often causing great damage to human lives and infrastructure. Therefore, the main aim of the present study is to evaluate and compare three machine learning algorithms (MLAs) including Naïve Bayes (NB), radial basis function (RBF) Classifier, and RBF Network for landslide susceptibility mapping (LSM) at Longhai area in China. A total of 14 landslide conditioning factors were obtained from various data sources, then the frequency ratio (FR) and support vector machine (SVM) methods were used for the correlation and selection the most important factors for modelling process, respectively. Subsequently, the resulting three models were validated and compared using some statistical metrics including area under the receiver operating characteristics (AUROC) curve, and Friedman and Wilcoxon signed-rank tests The results indicated that the RBF Classifier model had the highest goodness-of-fit and performance based on the training and validation datasets. The results concluded that the RBF Classifier model outperformed and outclassed (AUROC = 0.881), the NB (AUROC = 0.872) and the RBF Network (AUROC = 0.854) models. The obtained results pointed out that the RBF Classifier model is a promising method for spatial prediction of landslide over the world.

Matched MeSH terms: Machine Learning
Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

Azareh A, Rahmati O, Rafiei-Sardooi E, Sankey JB, Lee S, Shahabi H, et al.

Sci Total Environ, 2019 Mar 10;655:684-696.
PMID: 30476849 DOI: 10.1016/j.scitotenv.2018.11.235

Gully erosion susceptibility mapping is a fundamental tool for land-use planning aimed at mitigating land degradation. However, the capabilities of some state-of-the-art data-mining models for developing accurate maps of gully erosion susceptibility have not yet been fully investigated. This study assessed and compared the performance of two different types of data-mining models for accurately mapping gully erosion susceptibility at a regional scale in Chavar, Ilam, Iran. The two methods evaluated were: Certainty Factor (CF), a bivariate statistical model; and Maximum Entropy (ME), an advanced machine learning model. Several geographic and environmental factors that can contribute to gully erosion were considered as predictor variables of gully erosion susceptibility. Based on an existing differential GPS survey inventory of gully erosion, a total of 63 eroded gullies were spatially randomly split in a 70:30 ratio for use in model calibration and validation, respectively. Accuracy assessments completed with the receiver operating characteristic curve method showed that the ME-based regional gully susceptibility map has an area under the curve (AUC) value of 88.6% whereas the CF-based map has an AUC of 81.8%. According to jackknife tests that were used to investigate the relative importance of predictor variables, aspect, distance to river, lithology and land use are the most influential factors for the spatial distribution of gully erosion susceptibility in this region of Iran. The gully erosion susceptibility maps produced in this study could be useful tools for land managers and engineers tasked with road development, urbanization and other future development.

Matched MeSH terms: Machine Learning
Vulnerability of Vietnam to typhoons: A spatial assessment based on hazards, exposure and adaptive capacity

Nguyen KA, Liou YA, Terry JP

Sci Total Environ, 2019 Sep 10;682:31-46.
PMID: 31121354 DOI: 10.1016/j.scitotenv.2019.04.069

Typhoons have devastating impacts across many Asian countries. Vietnam is presently one of the most disaster-prone nations. Typhoons regularly disrupt human lives and livelihoods in various ways and cause significant damage. Making efficient policy decisions to minimize the vulnerability of affected communities is crucial. This requires a deep understanding of the factors that make a society vulnerable to extreme events and natural disasters. An appropriate approach is integrating the three dimensions of hazard, exposure and sensitivity, and community adaptive capacity. However, the vulnerability and adaptive capacity response to typhoons within Vietnam is poorly investigated. Here, we develop a conceptual framework that incorporates 21 indicators to identify vulnerability and adaptive capacity (VAC) using geospatial techniques at regional scales, applied over Vietnam. We find large spatial differences in VAC and are able to identify the top-priority regions that need to enhance their adaptation to typhoons. The Southern Coastal area, South East and Red River Delta demonstrate high and very high vulnerability because of their physical features and the intensity of typhoons that frequently cross these parts of Vietnam. The lower Mekong Delta and Northern Coastal areas are vulnerable to typhoon-driven flood threats, in particular where compounded by sea-level rise. Our framework successfully identified the spatial distribution and different levels of VAC within acceptable limits of uncertainty. It can therefore serve as a template to tackle national issues in disaster risk reduction in Vietnam and assist in the development of suitable mitigation strategies to achieve sustainable outcomes.

Matched MeSH terms: Learning
Fulltext Effectiveness of written feedback in ESL writing

Tee, Kelly Pei Leng, Cheah, Joyce Kim Sim

The Pertanika Journal of Scholarly Research Reviews, 2016;2(2):94-102.
MyJurnal

– Feedback is one of the most influential tools in the learning of writing. However, there are
divided views on its impact on ESL writing. This article reviews past studies to explore the various
types of written feedback and its effectiveness. Firstly, it discusses the feedback role in ESL students’
writing, followed by the types of feedback. Furthermore, it highlights the type of feedback which is
useful and effective in the writing process. Next, it presents the different views on the effectiveness of
feedback in ESL writing due to the type of feedback and the way it is given. Lastly, it concludes that
feedback acts as a scaffold by providing a meaningful and impactful learning to students.

Matched MeSH terms: Learning
Team-based learning in a medical centre in Malaysia: Perspectives of the faculty

Salam A, Mohamad N, Siraj HH, Kamarudin MA, Yaman MN, Bujang SM

Natl Med J India, 2014 Nov-Dec;27(6):350.
PMID: 26133346
Matched MeSH terms: Learning*
Fulltext Establishing links between assessments and expected learning outcomes through curriculum mapping in a dental physiology curriculum

Vashe A, Devi V, Rao KR, Abraham RR

Natl Med J India, 2021 8 17;34(1):40-45.
PMID: 34397005 DOI: 10.4103/0970-258X.323445

Background: . The relevance of curriculum mapping to determine the links between expected learning outcomes and assessment is well stated in the literature. Nevertheless, studies confirming the usage of such maps are minimal.
Methods: . We assessed links through curriculum mapping, between assessments and expected learning outcomes of dental physiology curriculum of three batches of students (2012-14) at Melaka-Manipal Medical College (MMMC), Manipal. The questions asked under each assessment method were mapped to the respective expected learning outcomes, and students' scores in different assessments in physiology were gathered. Students' (n = 220) and teachers' (n=15) perspectives were collected through focus group discussion sessions and questionnaire surveys.
Results: . More than 75% of students were successful (≥50% scores) in majority of the assessments. There was moderate (r=0.4-0.6) to strong positive correlation (r=0.7-0.9) between majority of the assessments. However, students' scores in viva voce had a weak positive correlation with the practical examination score (r=0.230). The score in the assessments of problem-based learning had either weak (r=0.1-0.3) or no correlation with other assessment scores.
Conclusions: . Through curriculum mapping, we were able to establish links between assessments and expected learning outcomes. We observed that, in the assessment system followed at MMMC, all expected learning outcomes were not given equal weightage in the examinations. Moreover, there was no direct assessment of self-directed learning skills. Our study also showed that assessment has supported students in achieving the expected learning outcomes as evidenced by the qualitative and quantitative data.

Matched MeSH terms: Learning
Fulltext Evaluation of a mentored student project programme using reflective summaries

Devi V, Abraham RR

Natl Med J India, 2021 3 24;33(2):102-106.
PMID: 33753639 DOI: 10.4103/0970-258X.310920

Background: . Undergraduate research experience has become increasingly relevant for today's medical students, considering the professional requirements of their challenging future.
Methods: . In the mentored student project (MSP) programme at Melaka Manipal Medical College, students undertake a short-term group research project under the guidance of their mentor. After data collection and analysis, students are required to write an abstract, present a poster and also write individual reflective summaries of their research experience. We evaluated the MSP programme using reflective summaries of a batch of undergraduate medical students. Data from 41 reflective summaries were analysed using the thematic analysis approach. The learning outcomes at the third and fourth levels of the Kirkpatrick evaluation model were determined from the summaries.
Results: . Students' reflective summaries indicated that they were satisfied with the MSP experience. In all the summaries, there was a mention of an improvement in teamwork skills through MSP. Improved relations with mentors were another relevant outcome. Improvement in communication skills and a positive change related to research attitude were also reported by students.
Conclusions: . Reflective summaries as a means to evaluate the MSP programme was found to be an easy, feasible and cost-effective method. The qualitative approach adopted for data analysis enabled the programme coordinators to assess the strengths and barriers of the programme.

Matched MeSH terms: Learning
Fulltext Two-incision three-port laparoscopic cholecystectomy. A feasible and safe technique

Leow VM, Faizah MS, Mohd Sharifudin S, Letchumanan VP, Yang KF, Manisekar KS

Med J Malaysia, 2014 Jun;69(3):129-32.
PMID: 25326354 MyJurnal

OBJECTIVE: Conventional laparoscopic cholecystectomy (LC) involves the use of four ports, but the number of ports has gradually been reduced to one for cosmetic reasons. however, single-incision LC is technically demanding, and there is a substantial learning curve associated with its successful application. The aim of this clinical study was to evaluate the safety and feasibility of a less demanding alternative LC technique with a faster learning curve.

METHODS: This prospective descriptive study was performed from September 2009 to February 2011 at Sultanah Bahiyah hospital in Kedah, Malaysia. A total of 58 patients underwent two-incision threeport laparoscopic cholecystectomy (TILC), which was performed by the senior consultant hepato-pancreato-biliary surgeon and two hepato-pancreato-biliary trainees. Study end points included operative time, postoperative pain, length of hospital stay and early postoperative complications. The follow-up period was 4 weeks.

RESULTS: The overall operative time taken was 44 ± 18 minutes. none of the patients had major complication or incisional hernia postoperatively. All but one of the patients were discharged within 24 h. nonsteroidal anti-inflammatory drugs were the main postoperative analgesic used.

CONCLUSION: TILC is feasible and safe cholecystectomy technique.

Matched MeSH terms: Learning Curve
Fulltext Appreciation of learning environment and development of higher-order learning skills in a problem-based learning medical curriculum

Mala-Maung, Abdullah A, Abas ZW

Med J Malaysia, 2011 Dec;66(5):435-9.
PMID: 22390096 MyJurnal

This cross-sectional study determined the appreciation of the learning environment and development of higher-order learning skills among students attending the Medical Curriculum at the International Medical University, Malaysia which provides traditional and e-learning resources with an emphasis on problem based learning (PBL) and self-directed learning. Of the 708 participants, the majority preferred traditional to e-resources. Students who highly appreciated PBL demonstrated a higher appreciation of e-resources. Appreciation of PBL is positively and significantly correlated with higher-order learning skills, reflecting the inculcation of self-directed learning traits. Implementers must be sensitive to the progress of learners adapting to the higher education environment and innovations, and to address limitations as relevant.

Matched MeSH terms: Problem-Based Learning*
Fulltext Children with learning disabilities in the paediatric clinic, Hospital Tuanku Ja'afar Seremban: an overview

Mariana AM, Wong SL

Med J Malaysia, 2011 Dec;66(5):487-90.
PMID: 22390107 MyJurnal

The aim of the study was to document the prevalence of learning disability among the children attending the Paediatric Clinic in Hospital Tuanku Ja'afar Seremban. The demographic distribution of these patients; the age of detection of the problem; the associated medical conditions and types of intervention received by these patients were documented. Patients who were between the ages of five to twelve years were included in the study. Learning disability was divided into three categories: speech and articulation problems, academic skills disorder and other categories which included developmental delay. Children with cerebral palsy were excluded from the study. Out of 1320 patients screened, 355 were found to have learning disorders. Majority were Malays, with the male to female ratio of 1.9:1. Most of the patients stayed in Seremban. The learning problem was most commonly detected at the age of 4 years and below. The commonest type of learning disorder was developmental delay, followed by academic skills disorder, speech and academic skills problems and speech disorders. Problems that were detected early were speech problems and developmental delay. Majority of the children had associated medical conditions. Most of the patients received some form of intervention but 11.3% did not attend any intervention program at all. A strategy should be formulated and implemented to help this group of children.

Study site: Paediatric Clinic in Hospital Tuanku Ja'afar Seremban

Matched MeSH terms: Learning Disorders/epidemiology*
The medical school curriculum at University Malaysia Sabah

Ramasamy P, Osman A

Med J Malaysia, 2005 Aug;60 Suppl D:58-65.
PMID: 16315626

The integrated curriculum at the newly established medical school at University Malaysia Sabah is examined from aspects of the objectives of the medical training in achieving development of the required skills and knowledge as well as personal and professional development. The teaching is spread over five years with an emphasis on basic medical sciences in the first two years although the students are exposed to clinical skills right from the onset. A gradual transition to emphasis on the acquisition of clinical skills occurs from the third year onwards. However, community medicine and professional development are incorporated into the programme from the first year and are carried over to the final year. Although there are examinations to be passed in all the courses taught every semester, with a Cumulative Grade Point Average (CGPA) of 3.0 (65 percentile score) and the candidate has to pass all the examinations in that year to clear a particular year, two professional examinations are administered, one at the end of the Third Year (end of the Phase I of the Medical Programme) and another at the end of the Fifth or Final year (end of the Phase II of the Medical Programme). Programmes for Postings, Shadow House Officers (SHOP) and Population Health are also incorporated into the curriculum. Delivery of the courses involve Lectures, Self-Learning Packages (SLP), Small Group Discussions (SGD), Seminars, Debates, Dramas, Video clips, Special Study Modules (SSM), Computer-Aided Instruction (CAI), Problem-based Learning (PBL), Problem-solving Sessions (PSS) and Clinical Skills Learning (CSL). The examination involves elements of continuous assessment and final end of semester or end of phases I and II Professional Examinations. Practical may involve Objective Structured Practical Examinations (OSPE) and/or Objective Structured Clinical Examinations (OSCE). They may also involve viva voce and/or short and long case presentations and assessment of log book entries.

Matched MeSH terms: Problem-Based Learning
Many roads lead to Rome--is that true of the teaching and learning of pharmacology? Lessons from three medical schools in Malaysia

Sim SM, Achike FI, Geh SL

Med J Malaysia, 2005 Aug;60 Suppl D:41-7.
PMID: 16315623

In Malaysia many new medical schools (both public and private) have been set up in the last 12 years. As a result of global changes and local adjustments made in medical training, cross-breeds of different medical curricula have produced a wide spectrum of teaching-learning methods in these medical schools. In this paper, we have selected three medical schools--two public (Universiti Malaya and Universiti Putra Malaysia) and one private (International Medical University) to illustrate different approaches in the teaching-learning of pharmacology that exist in Malaysia. How do these different teaching-learning approaches affect the students' interest and ability to "master" pharmacology and in turn to develop a good prescribing practice?

Matched MeSH terms: Learning*
Preparing for and managing change: some thoughts for curriculum planners and implementers

Azila NM

Med J Malaysia, 2002 Dec;57 Suppl E:52-7.
PMID: 12733194

This paper outlines issues related to curricular reforms, and strategies to be considered for planning and implementation so as to ensure that the change is institutionalised. In Malaysia, in general, some imminent curricular changes have been carried out to prepare graduates for future changes in the practice environment. Change of reform requires planning, with consideration of the directions in which the change is needed, and the possible educational approaches to be utilized. To ensure change can occur and be maintained there should be effort to induce a paradigm shift amongst teachers and administrators at all levels, there must be transparency and dissemination of information of the required change and why, there must be involvement of teachers in decision making to ensure better compliance.

Matched MeSH terms: Problem-Based Learning/methods*
Writing Articles on Continuing Medical Education for Medical Journals

Sivalingam N, Rampal L

Med J Malaysia, 2021 03;76(2):119-124.
PMID: 33742616

Sharing of knowledge through Continuing Medical Education (CME) contribute immensely to professional development of skills in clinical medical practice. Thus, the writing of CME articles should adopt an approach that addresses the needs of the readers by attempting to fill gaps in their knowledge, skills, and ethics about clinical care. As such CME articles should be comprehensive and focused on specific areas. The specific learning outcomes should be well defined. In designing and development of such articles, pedagogic principles are to be borne in mind. In this article we outline a guide to writing a CME article, incorporating both the principles of instructional design and directed selflearning. The ideal CME articles will transit through multimedia-enhanced interactive online learning, with greater use of connectivity through the internet. Synchronous and asynchronous learning is in greater need, as distance and online learning are increasingly popular. Authors of CME articles will need to eventually design CME articles to be interactive, enriched with multimedia to engage their readers. Lesson plans employing instructional design principles should aim to promote both instructions for learning and formative assessment ensuring learning have taken place, and outcomes have been achieved. This article describes on how to write effective CME articles for medical journals.

Matched MeSH terms: Learning
Motor performance and functional mobility in children with specific learning disabilities

Suhaili I, Harun D, Kadar M, Hanif Farhan MR, Nur Sakinah B, Evelyn Jong TH

Med J Malaysia, 2019 02;74(1):34-39.
PMID: 30846660

INTRODUCTION: Limitations in motor performances among children with specific learning disabilities (SLD) can lead to impaired functional skills. Thus, this study aimed to determine the level of motor performances and functional mobility, and the influence of motor performances on the functional mobility in children with SLD.
METHODS: A cross-sectional study was conducted among 148 children with SLD and their caregivers. The evaluation consisted of the Movement Assessment Battery for Children-2 (MABC-2) and the Functional Mobility domain from Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT). The level of motor performances and functional mobility were determined. A linear regression was then conducted to assess the influence of motor performances that could be accounted for functional mobility scores.
RESULTS: More than half of the children with SLD showed motor performance difficulty in manual dexterity subscale (54.7%). For functional mobility, the mean standard T-score indicated an average level of capability (49.49±15.96). A regression analysis revealed that both manual dexterity and balance were significant predictors for functional mobility. According to the regression coefficients, manual dexterity (B=1.37, β=0.303, sr2=0.077) was found to be a stronger predictor compared to balance (B=0.85, β=0.178, sr2=0.028).
CONCLUSION: Manual dexterity was found to influence functional mobility among children with SLD. Therefore, fine motor skills intervention for children with SLD should emphasize on manual dexterity training. Future studies that involve dual tasks and inclusion of typical children would give useful additional information on motor performances issues in children with SLD.

Matched MeSH terms: Learning Disorders/physiopathology*; Learning Disorders/psychology
The impact of stressors on the learning outcome of high-fidelity patient simulation in undergraduate medical students

Nachiappan M, Bikramjit P, Aung WT, Htoo HKS, Sudipta P

Med J Malaysia, 2020 05;75(3):209-215.
PMID: 32467534

INTRODUCTION: Simulation of the clinical setting incorporates an educational approach connecting a learner to a particular environment of learning. Undergraduate students in the health sector experience anxiety during simulation that influences their performance which ultimately affects their learning outcome. This study attempts to correlate the impact of stressors on learning outcome of high-fidelity patient simulation (HFPS) in undergraduate medical education.
OBJECTIVE: This research is to analyze the impact of stressors and its relevance on the learning outcome of HFPS as a teaching-learning tool for the management of emergency surgical conditions including trauma.
MATERIALS AND METHODS: This study is a Quasi-experimental time series design. A total number of 347 final-year undergraduate (MBBS) students of Melaka-Manipal Medical College, Malaysia. They were grouped and assessed individually by pre-test and post-tests on their knowledge, performance and associated stressor scores. The one-way repeated measure of Analysis of Variance (ANOVA) was used to determine the statistically significant differences in total score at pre-test simulation and post-test-simulation sessions. Friedman test was used for assessment of individual components of stressors. Pre-test and post-tests scores were compared to note progress in confidence and stress reduction. P value <0.001 was considered statistically significant.
RESULTS: ANOVA with Bonferroni post hoc analysis showed a statistically significant (p <0.001) difference in stressor score over time. The drop-in stress was significant initially but flattened out later.
CONCLUSION: Stress significantly decreased as the students were exposed to more sessions of HFPS which ultimately translated into better learning outcome.

Matched MeSH terms: Learning*
Towards developing high-fidelity simulated learning environment training modules in audiology

Dzulkarnain AA, Rahmat S, Mohd Puzi NA, Badzis M

Med J Malaysia, 2017 02;72(1):37-45.
PMID: 28255138 MyJurnal

INTRODUCTION: This discussion paper reviews and synthesises the literature on simulated learning environment (SLE) from allied health sciences, medical and nursing in general and audiology specifically. The focus of the paper is on discussing the use of high-fidelity (HF) SLE and describing the challenges for developing a HF SLE for clinical audiology training.
METHODS: Through the review of the literature, this paper discusses seven questions, (i) What is SLE? (ii) What are the types of SLEs? (iii) How is SLE classified? (iv) What is HF SLE? (v) What types of SLEs are available in audiology and their level of fidelity? (vi) What are the components needed for developing HF SLE? (vii) What are the possible types of HF SLEs that are suitable for audiology training? Publications were identified by structured searches from three major databases PubMed, Web of Knowledge and PsychInfo and from the reference lists of relevant articles. The authors discussed and mapped the levels of fidelity of SLE audiology training modules from the literature and the learning domains involved in the clinical audiology courses.
RESULTS: The discussion paper has highlighted that most of the existing SLE audiology training modules consist of either low- or medium-fidelity types of simulators. Those components needed to achieve a HF SLE for audiology training are also highlighted.
CONCLUSION: Overall, this review recommends that the combined approach of different levels and types of SLE could be used to obtain a HF SLE training module in audiology training.

Matched MeSH terms: Learning

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links