1.Psychometric properties of self-report questionnaires in evaluating blended learning in health science university students: A systematic review.
Valentin C. DONES III ; Maria Teresita B. DALUSONG ; Donald G. MANLAPAZ ; Juan Alfonso S. ROJAS ; Ma. Bianca Beatriz P. BALLESTEROS ; Ron Kevin S. FLORES ; Kaela Celine C. HO ; Jose Angelo D. MONREAL ; Audrey Marie A. NARCELLES ; Jose Joaquin R. REYES ; Lianna Andrea B. SANGATANAN
Acta Medica Philippina 2025;59(Early Access 2025):1-14
BACKGROUND
Due to the COVID-19 outbreak, schools had to switch online. The sudden transition to blended teaching and learning (BTL) poses challenges for students and teachers, especially for health science programs that require hands-on practical experience. The validity, reliability, and responsiveness of these self-report questionnaires (SRQs) should be established to ensure the accuracy of the results as intended by the SRQ.
OBJECTIVESThis study critically appraised, compared, and summarized the psychometric properties of SRQ evaluating BTL among health science university students. This review determined the SRQ’s reliability, internal consistency, various forms of validity (content, criterion, construct), and responsiveness.
METHODSFollowing a 10-step procedure based on COSMIN guidelines, we conducted a systematic review of SRQs used by health science university students to evaluate blended teaching and learning. Studies were eligible if they reported psychometric properties of SRQs related to blended learning among university health science students; exclusions included studies focusing on perceptions, attitudes, self-efficacy, and satisfaction, as well as articles such as biographies, editorials, and conference materials. Searches covered multiple electronic databases until April 26, 2023, including PubMed, EMBASE, Web of Science, MEDLINE (OVID), PsycInfo, CINAHL, EBSCOHOST, ERIC, Scopus, Science Direct, Google Scholar, JSTOR, Acta Medica Philippina, Philippine Journal of Health Research and Development, and HERDIN, managed through Zotero. Two independent reviewers performed database searches, title and abstract screening, and full-text evaluations, with a third reviewer resolving any disputes. The COSMIN Risk of Bias Checklist was employed to evaluate included studies on the development and various measurement properties of SRQs. The reviewers assessed SRQ standards, including validity, reliability, internal consistency, measurement error, responsiveness, interpretability, and feasibility. Data extraction and result tabulation were independently completed, with content comparison by two health education experts. This evaluation categorized the SRQs into three quality and validity levels.
RESULTSThe study examined five articles; four were rated as 'doubtful' and one as 'inadequate' in the overall development of SRQ. All four 'doubtful' studies demonstrated questionable content validity when university students were asked about the questionnaire's relevance, comprehensiveness, and comprehensibility. Only half of these studies achieved an 'adequate' rating for content validity based on expert opinions on relevance and comprehensiveness. All but one study scored from 'very good' to 'adequate' in structural validity. Three out of the four studies scored a very good rating for internal consistency, while one was deemed 'inadequate' in internal consistency, cross-cultural validity, and reliability. Three out of four studies scored 'very good' on construct validity, but all overlooked criterion validity and responsiveness. Conducted in various locations, including Australia, Romania, Turkey, and Taiwan, these studies highlighted both common characteristics and limitations in questionnaire development according to the COSMIN guidelines. Four studies were deemed reliable and valid for BTL constructs (Category A); Wu et al. requires further validation (Category B). Study limitations included heterogeneity in populations, settings, and questionnaire versions, potential subjective bias in SRQ content comparison, and the evolving nature of SRQs in blended learning contexts.
CONCLUSIONThe systematic review reports the development and evaluation of SRQs for BTL while identifying gaps in their applicability to health science programs. The Blended Learning Scale (BLS) of Lazar et al. and the Blended Learning Questionnaire (BLQ) of Ballouk et al. showed an ‘adequate' rating for content validity. BLS revealed very good structural validity, internal consistency, and adequate content validation. Although the BLQ lacked Confirmatory Factor Analysis, it yielded valuable constructs for evaluating health sciences students' experiences in BTL. Both tools require improvements on recall period, completion time, interpretability, and feasibility. The review underscores the necessity for cont inuous assessment and enhancement of such instruments in BTL, advocating a rigorous scale development process. Furthermore, it encourages the customization of teaching and learning evaluation tools to suit specific institutional contexts while promoting further validation of these questionnaires across different populations in future research.
Human ; Psychometrics ; Checklist ; Self Report ; Universities ; Health Education
2.A novel deep learning based cloud service system for automated acupuncture needle counting: a strategy to improve acupuncture safety
WONG Tsz Ho ; WEI Junyi ; CHEN Haiyong ; NG Bacon Fung Leung
Digital Chinese Medicine 2024;7(1):40-46
Objective :
The unintentional retention of needles in patients can lead to severe consequences. To enhance acupuncture safety, the study aimed to develop a deep learning-based cloud system for automated process of counting acupuncture needles.
Methods:
This project adopted transfer learning from a pre-trained Oriented Region-based Convolutional Neural Network (Oriented R-CNN) model to develop a detection algorithm that can automatically count the number of acupuncture needles in a camera picture. A training set with 590 pictures and a validation set with 1 025 pictures were accumulated for finetuning. Then, we deployed the MMRotate toolbox in a Google Colab environment with a NVIDIA Tesla T4 Graphics processing unit (GPU) to carry out the training task. Furthermore, we integrated the model with a newly-developed Telegram bot interface to determine the accuracy, precision, and recall of the needling counting system. The end-to-end inference timewas also recorded to determine the speed of our cloud service system.
Result:
In a 20-needle scenario, our Oriented R-CNN detection model has achieved an accuracy of 96.49%, precision of 99.98%, and recall of 99.84%, with an average end-to-end inference time of 1.535 s.
Conclusion
The speed, accuracy, and reliability advancements of this cloud service system innovation have demonstrated its potential of using object detection technique to improve acupuncture practice based on deep learning.
3.Treating acute low back pain with acupuncture: A randomized controlled study protocol to compare the effectiveness between distal and local acupoints
Singleung Chan ; Shukyan Lam ; Sinyin Ho ; Wanyi Au ; Poyi Lin ; Waiming Chan ; Taking Yu ; Shungchi Tam ; Bacon F.L. Ng ; Linda L.D. Zhong
Journal of Traditional Chinese Medical Sciences 2024;11(3):351-356
Objective:
To compare the efficacy of using “distal acupoints only” vs. “local acupoints mainly combined with distal acupoints” in cases of acute low back pain (ALBP).
Methods:
A total of 102 eligible patients aged 18–65 years with ALBP lasting less than 6 weeks will be randomized in a 1:1 ratio to the distal acupoints only group (DPOG) and the local acupoints mainly combined with the distal acupoints group (LPMG). During a 4-week treatment period, patients in the DPOG will receive acupuncture at distal acupoints only (Houxi [SI 3] and Yaotongxue [EX-UE 7]) twice a week, while those in the LPMG group will receive acupuncture at local acupoints (mainly Shenshu [BL 23] and Dachangshu [BL 25]) combined with distal points (Weizhong [BL 40]). The patients in both groups will be evaluated at every session of treatment, and the follow-up will be performed for 3 months. The primary outcome measure will be the change in ALBP intensity, assessed using visual analogue scale scores before and after treatment. The secondary outcome measure will be the evaluation of functional disability using the Oswestry Disability Index.
Discussion
This study compares the DPOG and LPMG to explore the feasibility of the DPOG in the treatment of ALBP.
4.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
5.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
6.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
7.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
8.Response to “The Value of Non-Clinical Applications of Artificial Intelligence in Radiology Should Be Noted”
Nicole Kessa WEE ; Kim-Ann GIT ; Wen-Jeng LEE ; Gaurang RAVAL ; Aziz PATTOKHOV ; Evelyn Lai Ming HO ; Chamaree CHUAPETCHARASOPON ; Chuapetcharasopon TOMIYAMA ; Kwan Hoong NG ; Cher Heng TAN
Korean Journal of Radiology 2024;25(12):1102-1103
9.Multimodal prerehabilitation for elderly patients with sarcopenia in colorectal surgery
Jingting WU ; Hannah CHI ; Shawn KOK ; Jason M.W. CHUA ; Xi-Xiao HUANG ; Shipin ZHANG ; Shimin MAH ; Li-Xin FOO ; Hui-Yee PEH ; Hui-Bing LEE ; Phoebe TAY ; Cherie TONG ; Jasmine LADLAD ; Cheryl H.M. TAN ; Nathanelle KHOO ; Darius AW ; Cheryl X.Z. CHONG ; Leonard M.L. HO ; Sharmini S. SIVARAJAH ; Jialin NG ; Winson J.H. TAN ; Fung-Joon FOO ; Bin-Tean TEH ; Frederick H. KOH
Annals of Coloproctology 2024;40(1):3-12
Sarcopenia, which is characterized by progressive and generalized loss of skeletal muscle mass and strength, has been well described to be associated with numerous poor postoperative outcomes, such as increased perioperative mortality, postoperative sepsis, prolonged length of stay, increased cost of care, decreased functional outcome, and poorer oncological outcomes in cancer surgery. Multimodal prehabilitation, as a concept that involves boosting and optimizing the preoperative condition of a patient prior to the upcoming stressors of a surgical procedure, has the purported benefits of reversing the effects of sarcopenia, shortening hospitalization, improving the rate of return to bowel activity, reducing the costs of hospitalization, and improving quality of life. This review aims to present the current literature surrounding the concept of sarcopenia, its implications pertaining to colorectal cancer and surgery, a summary of studied multimodal prehabilitation interventions, and potential future advances in the management of sarcopenia.
10.The impact of short-course total neoadjuvant therapy, long-course chemoradiotherapy, and upfront surgery on the technical difficulty of total mesorectal excision: an observational study with an intraoperative perspective
Cheryl Xi-Zi CHONG ; Frederick H. KOH ; Hui-Lin TAN ; Sharmini Su SIVARAJAH ; Jia-Lin NG ; Leonard Ming-Li HO ; Darius Kang-Lie AW ; Wen-Hsin KOO ; Shuting HAN ; Si-Lin KOO ; Connie Siew-Poh YIP ; Fu-Qiang WANG ; Fung-Joon FOO ; Winson Jianhong TAN
Annals of Coloproctology 2024;40(5):451-458
Purpose:
Total neoadjuvant therapy (TNT) is becoming the standard of care for locally advanced rectal cancer. However, surgery is deferred for months after completion, which may lead to fibrosis and increased surgical difficulty. The aim of this study was to assess whether TNT (TNT-RAPIDO) is associated with increased difficulty of total mesorectal excision (TME) compared with long-course chemoradiotherapy (LCRT) and upfront surgery.
Methods:
Twelve laparoscopic videos of low anterior resection with TME for rectal cancer were prospectively collected from January 2020 to October 2021, with 4 videos in each arm. Seven colorectal surgeons assessed the videos independently, graded the difficulty of TME using a visual analog scale and attempted to identify which category the videos belonged to.
Results:
The median age was 67 years, and 10 patients were male. The median interval to surgery from radiotherapy was 13 weeks in the LCRT group and 24 weeks in the TNT-RAPIDO group. There was no significant difference in the visual analog scale for difficulty in TME between the 3 groups (LCRT, 3.2; TNT-RAPIDO, 4.6; upfront, 4.1; P=0.12). A subgroup analysis showed similar difficulty between groups (LCRT 3.2 vs. TNT-RAPIDO 4.6, P=0.05; TNT-RAPIDO 4.6 vs. upfront 4.1, P=0.54). During video assessments, surgeons correctly identified the prior treatment modality in 42% of the cases. TNT-RAPIDO videos had the highest recognition rate (71%), significantly outperforming both LCRT (29%) and upfront surgery (25%, P=0.01).
Conclusion
TNT does not appear to increase the surgical difficulty of TME.


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