MyMedR

Displaying publications 61 - 65 of 65 in total

Abstract:

Sort:

Fulltext Improving the position of resuscitation team leader with simulation (IMPORTS); a pilot cross-sectional randomized intervention study

Saiboon IM, Apoo FN, Jamal SM, Bakar AA, Yatim FM, Jaafar JM, et al.

Medicine (Baltimore), 2019 Dec;98(49):e18201.
PMID: 31804343 DOI: 10.1097/MD.0000000000018201

BACKGROUND: Leadership and teamwork are important contributory factors in determining cardiac resuscitation performance and clinical outcome. We aimed to determine whether fixed positioning of the resuscitation team leader (RTL) relative to the patient influences leadership qualities during cardiac resuscitation using simulation.
METHODS: A cross-sectional randomized intervention study over 12 months' duration was conducted in university hospital simulation lab. ACLS-certified medical doctors were assigned to run 2 standardized simulated resuscitation code as RTL from a head-end position (HEP) and leg-end position (LEP). They were evaluated on leadership qualities including situational attentiveness (SA), errors detection (ED), and decision making (DM) using a standardized validated resuscitation-code-checklist (RCC). Performance was assessed live by 2 independent raters and was simultaneously recorded. RTL self-perceived performance was compared to measured performance.
RESULTS: Thirty-four participants completed the study. Mean marks for SA were 3.74 (SD ± 0.96) at HEP and 3.54 (SD ± 0.92) at LEP, P = .48. Mean marks for ED were 2.43 (SD ± 1.24) at HEP and 2.21 (SD ± 1.14) at LEP, P = .40. Mean marks for DM were 4.53 (SD ± 0.98) at HEP and 4.47 (SD ± 0.73) at LEP, P = .70. The mean total marks were 10.69 (SD ± 1.82) versus 10.22 (SD ± 1.93) at HEP and LEP respectively, P = .29 which shows no significance difference in all parameters. Twenty-four participants (71%) preferred LEP for the following reasons, better visualization (75% of participants); more room for movement (12.5% of participants); and better communication (12.5% of participants). RTL's perceived performance did not correlate with actual performance CONCLUSION:: The physical position either HEP or LEP appears to have no influence on performance of RTL in simulated cardiac resuscitation. RTL should be aware of the advantages and limitations of each position.

Matched MeSH terms: Video Recording
Fulltext Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking

Alameri M, Hasikin K, Kadri NA, Nasir NFM, Mohandas P, Anni JS, et al.

Comput Math Methods Med, 2021;2021:6953593.
PMID: 34497665 DOI: 10.1155/2021/6953593

Infertility is a condition whereby pregnancy does not occur despite having unprotected sexual intercourse for at least one year. The main reason could originate from either the male or the female, and sometimes, both contribute to the fertility disorder. For the male, sperm disorder was found to be the most common reason for infertility. In this paper, we proposed male infertility analysis based on automated sperm motility tracking. The proposed method worked in multistages, where the first stage focused on the sperm detection process using an improved Gaussian Mixture Model. A new optimization protocol was proposed to accurately detect the motile sperms prior to the sperm tracking process. Since the optimization protocol was imposed in the proposed system, the sperm tracking and velocity estimation processes are improved. The proposed method attained the highest average accuracy, sensitivity, and specificity of 92.3%, 96.3%, and 72.4%, respectively, when tested on 10 different samples. Our proposed method depicted better sperm detection quality when qualitatively observed as compared to other state-of-the-art techniques.

Matched MeSH terms: Video Recording
Fulltext Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time

Ong SQ, Ahmad H, Nair G, Isawasan P, Majid AHA

Sci Rep, 2021 05 10;11(1):9908.
PMID: 33972645 DOI: 10.1038/s41598-021-89365-3

Classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) by humans remains challenging. We proposed a highly accessible method to develop a deep learning (DL) model and implement the model for mosquito image classification by using hardware that could regulate the development process. In particular, we constructed a dataset with 4120 images of Aedes mosquitoes that were older than 12 days old and had common morphological features that disappeared, and we illustrated how to set up supervised deep convolutional neural networks (DCNNs) with hyperparameter adjustment. The model application was first conducted by deploying the model externally in real time on three different generations of mosquitoes, and the accuracy was compared with human expert performance. Our results showed that both the learning rate and epochs significantly affected the accuracy, and the best-performing hyperparameters achieved an accuracy of more than 98% at classifying mosquitoes, which showed no significant difference from human-level performance. We demonstrated the feasibility of the method to construct a model with the DCNN when deployed externally on mosquitoes in real time.

Matched MeSH terms: Video Recording
Managing dental fear and anxiety in pediatric patients: A qualitative study from the public's perspective

Hamzah HS, Gao X, Yung Yiu CK, McGrath C, King NM

Pediatr Dent, 2014 Jan-Feb;36(1):29-33.
PMID: 24717706

PURPOSE:
Internet social media offers a rich source for soliciting the public's views on health issues. This qualitative research, using You-Tube as a platform, aimed to explore the public's perspectives on management of dental fear and anxiety (DFA) in pediatric patients.

METHODS:
Using three keywords ("dental fear," "dental phobia," and "dental anxiety"), YouTube videos were searched. Twenty-seven videos related to DFA in children and adolescents were reviewed by three investigators, including a nondental layperson. Inductive thematic analysis was adopted for interpreting the data.

RESULTS:
Several strategies were considered useful for controlling DFA in pediatric patients, including: verbal and nonverbal communication to establish closeness and effective guidance (explanation, permission-seeking, reassurance, and negotiation); desensitization to dental settings and procedures; tell-show-do; positive reinforcement; distraction by imagination and thoughtful designs of clinic; and parental presence and support. Some self-coping strategies adopted by patients alleviated their DFA, such as self-reasoning and trust-building through long-term connection. Dentists' clinical competence, favorable treatment outcomes, and state-of-the-art devices and technologies (dental lasers, intraoral camera, and adapted anaesthesia method) contributed to reducing DFA.

CONCLUSIONS:
Authentic testimonials in YouTube videos endorsed and interpreted a variety of strategies adoptable by patients, parents, and dental professionals for managing children's and adolescents' dental fears and anxieties.

Matched MeSH terms: Video Recording
Science stars of East Asia

Cyranoski D, Law YH, Ong S, Phillips N, Zastrow M

Nature, 2018 06;558(7711):502-510.
PMID: 29950631 DOI: 10.1038/d41586-018-05506-1
Matched MeSH terms: Video Recording