https://hdl.handle.net/20.500.14353/1 2026-04-30T09:39:39Z https://hdl.handle.net/20.500.14353/368 Is videoconference “Zoom” fatigue real among nursing students? Oducado, Ryan Michael F.; Fajardo, Maria Teresa R.; Parreño-Lachica, Geneveve M.; Maniago, Jestoni D.; Villanueva, Paulo Martin B.; Dequilla, Ma. Asuncion Christine V.; Montaño, Hilda C.; Robite, Emily E. LETTER TO THE EDITOR EXTRACT ...We conducted an online cross-sectional survey to determine videoconference or Zoom fatigue among nursing students. We gathered data from 597 nursing students from a private university in the Philippines using the Zoom Exhaustion and Fatigue (ZEF) scale of Fauville et al. (2021a). We performed descriptive, comparative, and correlational data analyses. We demonstrated in this study that videoconference, or Zoom, fatigue is real and may have unpleasant consequences on nursing students. In our study, 46.9% and 19.8% experienced high and very high levels of videoconference fatigue, respectively, with a composite mean score of 3.82 ± .70 in the ZEF scale. We also found that a negative attitude toward videoconferencing and higher intensity of use of videoconferences (longer and more frequent meetings) significantly result in higher experience of fatigue during virtual conferences. Additionally, those with an unstable internet connection, younger age, females, lower-income status, and having poor academic performance are more affected by videoconference fatigue (see Table 1). Our study generally supports earlier evidence on videoconference fatigue (Fauville et al., 2021a,b; Queiroz et al., 2021). Nursing schools should consider the undesirable impact of videoconferences on students and ascertain protective factors against videoconference fatigue. Letter to the Editor https://hdl.handle.net/20.500.14353/879 Association between clinico-demographic profile and hearing screening results among newborns in West Visayas State University-Medical Center from 2018 to 2022 Guadalquiver, Don Mark; Adelante, Nikka; Aquino, Sabrina Louise; Arellano, Joyce Ann; Bosque, Elvy Rose; Estrellado, Jesah Marie; Jimeno, Ian Gabriel; Junsay, Alaine Faith; Kamiya, Francis Shinn; Morales, Harries Angelo Background: Infant hearing loss is a chronic condition in children that, if detected late, can lead to irreversible long-term speech, language, and cognitive deficits. Identifying clinico-demographic characteristics and risk factors associated with hearing loss is thus essential to improve its detection, intervention, and prevention. Objective: This study aims to determine the association between the clinico-demographic profile and hearing screening results among newborn at West Visayas State University-Medical Center from January 2018 to December 2022. Methods: This cross-sectional study utilized the data from the logbook registry of Newborn West Visayas State University Medical Center-Hearing Screening Center. Descriptive and inferential statistics determined the association between the clinico-demographic profile and the "Pass" or "Refer" screening result. Results: Hearing screening was done on 6963 newborns between 2018 and 2022. Of these, 6781 (97.39%) received "Pass" results for both ears, while 182 (2.61%) had "Refer." Although most received "Pass," males showed a higher "Refer" rate. Furthermore, "Refer" rates increased with lower birth weight and early gestational age. Moreover, among the risk factors for hearing loss, craniofacial anomalies had the highest "Refer" prevalence, while family history and hyperbilirubinemia had no refer cases. Statistical tests revealed significant associations with birthweight, craniofacial anomalies, and no risk factors for hearing loss. Conclusion: Birth weight, craniofacial anomalies, and absence of risk factors were significantly associated with screening results. This highlights the importance of enhanced screening and monitoring protocols for these populations for early detection of hearing loss. 2024-06-01T00:00:00Z https://hdl.handle.net/20.500.14353/448 Differentiation between organic and non-organic green onions using image classification with hyperparameter tuning Dela Cruz, Nerilou B. Differentiation between agricultural organic and non-organic crops involves professional laboratory techniques using expensive devices. This research domain requires a real-world dataset (RWD) which is limited depending on the subject or issue of the research study. Thus, this work presented real-world green onions image datasets collected from various locations in Iloilo, Philippines. The gathered datasets fit ground truth criteria with notable information (e.g., size, width, height, resolutions, the weather during the time it captures, and place) for similarity differentiation. Moreover, this study aimed to design and develop a non-intrusive image classification using Deep Learning (DL) methods such as Convolutional Neural Networks (CNN) and Transfer Learning Models provided hyperparameter tuning. Hyperparameters are sets of variables that govern the training process of DL models. These variables remained constant over the training process and directly impacted the performance until it acquired results around 99% training and 96.25% validation accuracies. With this, an application was developed and successfully assisted users in differentiating organic and non-organic green onions using image classification. 2022-07-01T00:00:00Z https://hdl.handle.net/20.500.14353/171 Scoping review of factors affecting Philippine nurse licensure examination outcomes Montegrico, James; Oducado, Ryan Michael F. Aim: This scoping review synthesized the existing literature on factors affecting Philippine nurse licensure examination (PNLE) outcomes. Background: Studies about the nurse licensure examination in the Philippines had gained popularity in recent years. Various studies reported different factors affecting PNLE outcomes, since licensure examination is an interplay between individual, academic, institutional, and environmental factors. This review is the first study that synthesized the literature on factors affecting PNLE outcomes. Methods: A scoping review of research articles published from 2000 to 2020 described the existing literature explaining the various factors affecting PNLE outcomes. The Preferred Reporting for Integrative Studies and Meta-Analysis for Scoping Reviews (PRISMA-ScR) was used to guide the study. Using the set inclusion criteria, 4,208 articles and gray literature were eligible for initial screening. A total of 29 studies were included in this review. Findings: Majority of the PNLE studies were quantitative research, used correlation research designs, and were published between 2011 to 2020. The average PNLE first-time pass rate from 2014 to 2018 was 75 percent and overall passing rate improved from 39.2% in 2010 to 45% in 2016. First-time examinees and those who take the PNLE in November have increased odds of passing the examination. Wide variability in PNLE results were observed in the May/June PNLE. Intellectual ability, learning styles, and psychosocial behaviors impact individual PNLE outcomes. Academic performance in high school and nursing school, college admission test, nursing aptitude test, achievement exams, pre-board examinations, clinical nursing courses, English courses, and Microbiology and Parasitology are significant academic predictors of PNLE success. Institutional variables such as school size, type of school ownership, year of establishment, accreditation status, and faculty-student ratio are associated with PNLE outcomes. Conclusion: Various individual, academic, and institutional factors influence PNLE outcomes. Identifying these factors is crucial in understanding the multidimensionality of variables that may impact PNLE performance. An insight into these factors may assist individual nursing students and graduates, as well as nursing schools, in developing strategies to increase their likelihood of passing and increasing the first-time pass rates in the PNLE. 2022-01-01T00:00:00Z