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Dual attending surgeon strategy learning curve in single-staged posterior spinal fusion (PSF) surgery for 415 idiopathic scoliosis (IS) cases

Chan CYW, Chiu CK, Ch'ng PY, Lee SY, Chung WH, Hasan MS, et al.

Spine J, 2021 07;21(7):1049-1058.
PMID: 33610804 DOI: 10.1016/j.spinee.2021.02.009

BACKGROUND CONTEXT: The implementation of a dual attending surgeon strategy had improved perioperative outcomes of idiopathic scoliosis (IS) patients. Nevertheless, the learning curve of a dual attending surgeon practice in single-staged posterior spinal fusion (PSF) surgery has not been established.
OBJECTIVE: To evaluate the surgical learning curve of a dual attending surgeon strategy in IS patients.
STUDY DESIGN: Retrospective study.
PATIENT SAMPLE: 415 IS patients (Cobb angle <90°) who underwent PSF using a dual attending surgeon strategy OUTCOME MEASURES: Primary outcomes included operative time, total blood loss, allogenic blood transfusion requirement, length of hospital stay and perioperative complication rate.
METHODS: Regression analysis using Locally Weighted Scatterplot Smoothing (LOWESS) method was applied to create the best-fit-curve between case number versus operative time and total blood loss in identifying cut-off points for the learning curve.
RESULTS: The mean Cobb angle was 60.8±10.8°. Mean operative time was 134.4±32.1 minutes and mean total blood loss was 886.0±450.6 mL. The mean length of hospital stay was 3.0±1.6 days. The learning curves of a dual attending surgeon strategy in this study were established at the 115th case (operative time) and 196th case (total blood loss) respectively (p

Matched MeSH terms: Learning Curve
IMoCC - Measure of cultural competence among medical students in the Malaysian context

Chandratilake M, Nadarajah VD, Mohd Sani RMB

Med Teach, 2021 Jul;43(sup1):S53-S58.
PMID: 32248710 DOI: 10.1080/0142159X.2020.1741530

Cultural beliefs and practices impact heavily on health outcomes of patients. Doctors' ability to deal with such issues in clinical practice, i.e. cultural competence, is widely studied in the west. It has yet to be given due importance in non-western contexts. This study aimed to develop a valid and reliable measure of cultural competence in the Malaysian cultural context and to assess cultural competence among Malaysian medical students. Thirty-five cultural issues faced by Malaysian doctors were identified with a series of interviews to develop a preliminary tool. The responses of students to these cultural issues were evaluated against the extent of inquiry and advocacy based on a theoretical framework of cultural competence. The responses were subjected to statistical analysis to determine the internal structure of the tool and to reduce the number of items in the tool. The final tool (IMU Measure of Cultural Competence - IMoCC) comprised of 22 issues, which deemed to be reliable in the second round of testing. In both tools, student cohorts demonstrated an acceptable level of cultural competence with room for improvement. However, they appeared to learn how to deal with cultural issues primarily through informal means and not in the formal curriculum.

Matched MeSH terms: Learning
Fulltext Finding self-directed learning readiness and fostering self-directed learning through weekly assessment of self-directed learning topics during undergraduate clinical training in ophthalmology

Sahoo S

Int J Appl Basic Med Res, 2016 Jul-Sep;6(3):166-9.
PMID: 27563580 DOI: 10.4103/2229-516X.186959

To know the individual's current level of readiness and to manage self-directed learning (SDL) not only help learners but also the instructors. The objectives of this study were to find SDL readiness among 4(th) year medical student and to analyze the effect of weekly assessment of SDL topics.

Matched MeSH terms: Learning
Can learning outcomes in cognitive domain be assessed effectively using multiple choice questions? A study in an undergraduate pharmacy curriculum

Hui Meng Er, Srinivasan Ramamurthy, Peter CK Pook

International e-Journal of Science, Medicine & Education, 2014;8(3):9-18.
MyJurnal

Background: The widespread use of multiple choice questions (MCQ) in examinations is attributed to its logistical advantage and broad coverage of content within a short duration. The end-of-semester examinations for several modules in the pharmacy programme previously employed a combination of written examination tools including MCQ, short answer questions (SAQ) or essays for assessing learning outcomes in the cognitive domain. Concerns regarding assessment fatigue and subjectivity in marking have led to a review of the assessment formats in the examinations. Various types of MCQ were consequently introduced as the only assessment tool. This study was conducted to evaluate the performance of students in the examinations as a result of the change.

Methodology: Analyses were carried out on the end-ofsemester examination results of two cohorts of students for each module, one based on a combination of MCQ, SAQ or essay and the other based on MCQ alone. The class means were compared, and t-test was used to determine the difference between the performances.

Results: Although the difference in the mean scores of the two groups is statistically significant in 13 of the 20 modules, the difference is less than 5% in 10 modules.

Conclusion: The findings provide evidence that wellconstructed MCQ can effectively assess cognitive skills.

Matched MeSH terms: Learning
Fulltext The psychosocial rehabilitation (PSR) for severely mentally ills in Malaysia: the past and present

Ruzanna Zam Zam

ASEAN Journal of Psychiatry, 2010;11(1):113-0.
MyJurnal

This paper discusses the evolution of PSR development for people with severe mental illness since the early 20th century in Malaysia. The various aspects of PSR include the activities, service target, the treatment settings, factors contributed to the development and the challenges that have been faced are also described along with the evolution, comparing the past and
present. It is learned that despite of many challenges, PSR in Malaysia has now continued to progress with increasing supports from the stakeholders and is in keeping with the current PSR concept.

Matched MeSH terms: Learning
Fulltext Grid base classifier in comparison to nonparametric methods in multiclass classification

Mohebpour, M.R., Adznan, B.J., Saripan, M.I.

Pertanika Journal of Science & Technology, 2010;18(1):-.
MyJurnal

In this paper, a new method known as Grid Base Classifier was proposed. This method carries the advantages of the two previous methods in order to improve the classification tasks. The problem with the current lazy algorithms is that they learn quickly, but classify very slowly. On the other hand, the eager algorithms classify quickly, but they learn very slowly. The two algorithms were compared, and the proposed algorithm was found to be able to both learn and classify quickly. The method was developed based on the grid structure which was done to create a powerful method for classification. In the current research, the new algorithm was tested and applied to the multiclass classification of two or more categories, which are important for handling problems related to practical classification. The new method was also compared with the Levenberg-Marquardt back-propagation neural network in the learning stage and the Condensed nearest neighbour in the generalization stage to examine the performance of the model. The results from the artificial and real-world data sets (from UCI Repository) showed that the new method could improve both the efficiency and accuracy of pattern classification.

Matched MeSH terms: Learning
Fulltext Using SVMs for classification of cross-document relationships

Kumar, Yogan Jaya, Naomie Salim, Ahmed Hamza Osman, Abuobieda, Albaraa

Pertanika Journal of Science & Technology, 2013;21(1):239-246.
MyJurnal

Cross-document Structure Theory (CST) has recently been proposed to facilitate tasks related to multidocument analysis. Classifying and identifying the CST relationships between sentences across topically related documents have since been proven as necessary. However, there have not been sufficient studies presented in literature to automatically identify these CST relationships. In this study, a supervised machine learning technique, i.e. Support Vector Machines (SVMs), was applied to identify four types of CST relationships, namely “Identity”, “Overlap”, “Subsumption”, and “Description” on the datasets obtained from CSTBank corpus. The performance of the SVMs classification was measured using Precision, Recall and F-measure. In addition, the results obtained using SVMs were also compared with those from the previous literature using boosting classification algorithm. It was found that SVMs yielded better results in classifying the four CST relationships.

Matched MeSH terms: Supervised Machine Learning
Fulltext Reflection as a physiotherapy educator

Nor Haslina Mohd, Mat Zain Yusoff

Education in Medicine Journal, 2015;7(4):64-67.
MyJurnal

Practice-based educator role is one of the core roles for health care practitioners. This role has an immense responsibility in enhancing learners’ knowledge towards the actual clinical practice, to prepare them to work with clients and for future professional development. Practitioners, even though they are aware and understand the importance of this role, lacking in exposure in educating and learning just on-the job make them not wellprepared to carry the role. This reflective essay has allowed the author to evaluate her performance as an educator, identifying the weaknesses, to obtain a clearer picture and better outlook on precisely on educators’ role in practice-based learning. Hence, she will able to improve; be a much better, more consistent and more competent educator as well as share it with others.

Matched MeSH terms: Learning
Fulltext Teaching and learning in workplace: contemporary perspectives

Bhardwaj A, Nagandla K, Das Gupta E, Ibrahim S

Education in Medicine Journal, 2015;7(3):67-72.
MyJurnal

Workplace learning is essentially informal that is unstructured, unintended and opportunistic from educational view point. Recall of factual knowledge and applying skills is central in workplace so learning becomes meaningful and evidence based. To maximise their learning, the learners must take active participation in their own learning, set goals and march towards achieving these goals. The objective of the teacher at this juncture is obliging to the needs of the learners and of the patients. This review aims to address the teaching and learning theories that impact the workplace learning, factors influencing workplace based learning, identifying opportunities for learning to occur parallel with work and strategies that maximise successful workplace learning.

Matched MeSH terms: Learning
Fulltext Survey on readership of professional journals among Malaysian dentists. part II. readership of the Malaysian dental journal

Ngeow, W.C., Mohd Noor, N.S., Mohd Tahir, N.N.

Malaysian Dental Journal, 2007;28(1):16-23.
MyJurnal

The objective of this part of the study was to understand the current trend on readership of the Malaysian Dental Journal (MDJ) among Malaysian dentists. Their views on the contents and quality of the Malaysian Dental Journal were enquired. We also enquired the reasons they chose-to/chose-not-to read the MDJ. Of the 225 dentists surveyed, the number of MDJ readers was 101; with only 24.75% reading all issues published. The editorial section was rated as “useful” by 70.3% of readers, while 79.2%, 87.1%, 87.1% and 80.2% of readers rated the research article section, the review article section, the case reports section and book recommendation section similarly respectively. Feedback from readers indicated that they wanted more case reports, more review articles on “how to do it” and on medical problems in dentistry. More than half (55.45%) of the MDJ readers preferred to receive the journal in both hard and soft copies. For the non-readers, the most common reasons cited for not reading the MDJ was not being able to access to the journal, followed by not having time to read. Our finding suggested that the respondents preferred to learn from colleagues’ experience and to read article that can improve their clinical knowledge and skill.

Matched MeSH terms: Learning
Fulltext 21st century medical education in University of Malaya

Tan, Christina Phoay Lay, Blitz, Julia J.

JUMMEC, 2008;11(1):1-2.
MyJurnal

What does this term medical education conjure up? Does it refer to the teaching and learning of medicine and therefore relates to students and the curriculum? Does it refer to the process of teaching and therefore relates to teachers? Perhaps it is both, since teaching and learning go hand in hand.(Copied from article).

Matched MeSH terms: Learning
Fulltext Empirical investigation of feature sets effectiveness in product review sentiment classification

Nurfadhlina Mohd Sharef, Rozilah Rosli

Pertanika Journal of Science & Technology, 2017;25(106):125-132.
MyJurnal

Sentiment analysis classification has been typically performed by combining features that represent the dataset at hand. Existing works have employed various features individually such as the syntactical, lexical and machine learning, and some have hybridized to reach optimistic results. Since the debate on the best combination is still unresolved this paper addresses the empirical investigation of the combination of features for product review classification. Results indicate the Support Vector Machine classification model combined with any of the observed lexicon namely MPQA, BingLiu and General Inquirer and either the unigram or inte-gration of unigram and bigram features is the top performer.

Matched MeSH terms: Machine Learning
Fulltext Early intervention of preschoolers with speech and language impairments by parents as first teachers: a case study on four families in Kuching, Sarawak

Fadzillah AJ, Lee JAC

Journal of Cognitive Sciences & Human Development, 2017;3(1):1-10.
MyJurnal

Parental involvement during early childhood development is important especially when the child has learning disabilities. This research aims to study the effectiveness of parental-based speech training programs for preschoolers with Speech Language Impairments (SLI) in a localized setting. The method used was qualitative and data was collected from selected preschoolers (N = 5) with different types of SLI symptoms. Each participant was assessed using a standardized assessment protocol to measure his/her language scale. The participants were given the intervention program by their own parents using the Hanen’s It Takes Two to Talk program. The progress of each subject and observations from these sessions were documented. The participants were assessed again once the intervention had been implemented. Substantial results were achieved when all subjects showed improvements in language comprehension and production skills. These results highlight the importance of parental involvement as first teachers in the early intervention of children with SLI.

Matched MeSH terms: Learning Disorders
Fulltext Crowdsourcing for ideas: A review of motivational factors and challenges in open innovation communities

Ahmad, R., Virgiyanti, W., Mahmod, M., Habbal, A., Chit, S.C.

Pertanika Journal of Science & Technology, 2017;25(110):69-78.
MyJurnal

Crowdsourcing introduces new perspectives in innovation, allowing for new products and services to shift away from the traditional manufacture-centric model to a more user-centric one. In order for businesses to reap the benefits of open innovation, it is necessary to understand the factors that motivate ideators to contribute valuable ideas. Equally, there is an urgency to identify the challenges faced by ideators in crowdsourcing for open innovation to retain the participants of crowdsourcing communities. This paper presents a structured review to address the aforementioned issues. Our findings reveal that the intrinsic factors that drive participation in open innovation are related to the learning experience that results from sharing ideas. Extrinsic factors like social motivation are frequently mentioned in different studies. This study also highlights the need for organisations to develop strategies for interacting with their contributors in order to sustain their participation and idea contribution. In conclusion, this paper can serve as a guideline for practitioners to improve crowdsourcing platforms with the inclusion of important motivational features. It can also serve as reference for organisations for formulating policies to regulate idea contribution.

Matched MeSH terms: Learning
Does central vetting improve construct quality of one-best-answer items in medical school: An audit

Kwa, Siew Kim, Zainab Majeed, Shane Varman

International e-Journal of Science, Medicine & Education, 2017;11(3):3-9.
MyJurnal

Introduction: Assessment is an integral aspect of
teaching. One-best-answer (OBA) items, if properly
constructed are able to drive learning. In-house OBA
items are notoriously poorly-constructed. The role of
a central vetting committee is to review test items and
ensure that they adhere to expected standards. Hence,
the objective of this audit is to determine whether
central vetting has improved the construct quality of
OBA items.
Methods: We audited the psychiatry end-of posting
OBA items from before and after central vetting to
compare the quality of the items before and after
central vetting was instituted. Quality was evaluated
on appropriateness of test content, items with higher
cognition and items without flaws. A standard was not
set for this first audit.
Results: Seventy six of 181 psychiatry OBAs items
retrieved from 2011 to August 2012 had undergone
first level (department) vetting only and the remainder
105 (58.0%) had two levels of vetting; department and
central vetting committee (CVC).
Appropriateness of content increased from 92.1% to
98.1%. Items with higher order thinking doubled from
21.1% to 42.9%. Items with clinical scenario increased
by 8.4% to 78.1%. Logical ordering of options however,
remained around 50%.

Two-level vetting markedly reduced problematic
lead-in questions (67.1 to 13.3%), non-homogenous
options (42.1 to 9.5%), vague and implausible options
(39.5 to 6.7%), and spelling and grammar mistakes
(19.7 to 5.7%).
Conclusion: Two-level vetting had improved the
quality of OBAs and should be continued. This could
be enhanced by training all Faculty on writing quality
OBA items and careful selection and empowerment
of CVC members. A re-audit is to be conducted after
Faculty training.

Matched MeSH terms: Learning
Fulltext Advocating collaborative teaching and learning in dentistry

Mas Suryalis Ahmad

Malaysian Dental Journal, 2016;39(1):1-8.
MyJurnal

Collaborative teaching is an educational approach that seeks to involve participation of teachers and learners in achieving learning goals and outcomes in an interactive manner (1). Such approach has been effective in equipping students with knowledge and/or skills via high levels of learning, while allowing interpersonal development such as teamwork, time management, as well as communication and written competencies (2, 3). (Copied from article)

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
Arrhythmia detection using deep convolutional neural network with long duration ECG signals

Yıldırım Ö, Pławiak P, Tan RS, Acharya UR

Comput Biol Med, 2018 11 01;102:411-420.
PMID: 30245122 DOI: 10.1016/j.compbiomed.2018.09.009

This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis. Cardiovascular disease prevention is one of the most important tasks of any health care system as about 50 million people are at risk of heart disease in the world. Although automatic analysis of ECG signal is very popular, current methods are not satisfactory. The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias. Described research are based on 1000 ECG signal fragments from the MIT - BIH Arrhythmia database for one lead (MLII) from 45 persons. Approach based on the analysis of 10-s ECG signal fragments (not a single QRS complex) is applied (on average, 13 times less classifications/analysis). A complete end-to-end structure was designed instead of the hand-crafted feature extraction and selection used in traditional methods. Our main contribution is to design a new 1D-Convolutional Neural Network model (1D-CNN). The proposed method is 1) efficient, 2) fast (real-time classification) 3) non-complex and 4) simple to use (combined feature extraction and selection, and classification in one stage). Deep 1D-CNN achieved a recognition overall accuracy of 17 cardiac arrhythmia disorders (classes) at a level of 91.33% and classification time per single sample of 0.015 s. Compared to the current research, our results are one of the best results to date, and our solution can be implemented in mobile devices and cloud computing.

Matched MeSH terms: Machine Learning
Fulltext Integration of entrepreneurship theories towards entrepreneurship development among students in Malaysia

Mohamad Izzuan Mohd Ishar, Mohd Khata Jabor

Malaysian Journal of Social Sciences and Humanities, 2017;2(1):11-20.
MyJurnal

Entrepreneurship showed an increase in the popularity of business education, engineering education,
universities and educational institutions. All students who engage in entrepreneurial education has the
potential to develop their entrepreneurial skills and knowledge. However, the majority of
entrepreneurial education program focused on the exploitation of existing opportunities and assume
that these opportunities have been identified. Research on entrepreneurship also shows that efficiency
is often ignored or receive little attention while teaching entrepreneurship. This article was developed
to assist in improving the understanding of the concept of learning which supports entrepreneurship
and the development of entrepreneurial competence.

Matched MeSH terms: Learning
Fulltext Root-oriented words generation: an easier way towards dictionary making for the Dusunic family of languages

Cosmas Julius Abah, Wong, Jane Kong Ling, Anantha Raman Govindasamy

Malaysian Journal of Social Sciences and Humanities, 2018;3(2):95-112.
MyJurnal

Dictionary production is one of the most effective methods of preserving languages and cultures. The
Dusunic Family of Languages (DFL) in Sabah, Malaysia would have welcomed the efforts to
document their languages through dictionary production as there are still lacking of dictionary,
vocabulary and phrase books. Furthermore, more than half of the languages in DFL are unwritten.
However, making dictionary conventionally is tedious and time consuming. The Dusunic Family of
Languages which are facing extinction threats do not have the luxury of time to wait for dictionary
production via the conventional method. Hence, this study explores the use of a method called Root-
Oriented Words Generation (ROWG) which is formulated based on spelling orthography of DFL to
generate one and two-syllable words list. From the words list, root words registers were compiled
which can then be used as database for dictionary production. Findings of this study showed that
ROWG was able to generate an exhaustive word lists of DFL and compile a large volume of root
words register in DFL. Hence, this study was able to highlight the feasibility and viability of using
ROWG to produce root words register of DFL which could possibly reduce the time for dictionary
production significantly. In future studies, it is recommended that the ROWG is extended to include
more than two syllable words. This study showed the potentiality of ROWG to address the looming
demise of DFL by providing a more efficient way of compiling root words for the purpose of making a
dictionary.

Matched MeSH terms: Learning

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