Community of inquiry Framework Combined With Podcast Media in Nursing Education innovation During Covid-19 Pandemic: An Evaluative Study.

Background: The COVID-19 pandemic has not researched inquiry methods much, other than that it has never been combined with podcast media to better refine students' abilities. The purpose of this study was to determine student satisfaction with basic nursing theory and practice courses taught using the Community of Inquiry framework using podcast media. Methods: This evaluation was done at a university using a validated Community of Inquiry survey (n = 54) and interviews (n = 20). A convenience sample of 54 graduate students enrolled in a core research field comprised the study participants. The quantitative data were analyzed descriptively and the qualitative data were thematically coded. Results: Five major themes emerged: It was a new experience, and fun to learn; it is challenging to learn; it is an ongoing enthusiasm; it is well known, and useful to others. Overall, student satisfaction was high, especially in the cognitive presence (critical thinking) and instructor presence (mostly related to pedagogy) categories. Student perspectives on developing "social presence" vary, but the framework is generally effective for stimulating inquiry and fostering a sense of community. Students can gain thorough knowledge of the learning goals they wish to pursue. Conclusion: Formation of an "investigation community" through the use of the media of podcasts. This framework has significant potential for use in the teaching of nursing research subjects; satisfaction is high when students report learning not only theory and practice, but also how to "make" character changes through the formation of professional and intellectual communities.

"We are Tired but Do Not Give Up" the Dilemma and Challenges of Primary Nurses Facing the Omicron Variant: Qualitative Research.

Background: Everyone becomes aware due to the epidemic, especially primary department nurses. The significance of their experiences teaches nurses how to take care of themselves and be successful in their caregiving. Objective: The purpose of this study was to investigate the perceptions of nurses working in primary care settings in rural regions during the omicron variant pandemic. Methods: On the basis of the Nvivo 12 analytic approach, extensive semi-structured interviews were used to perform this qualitative study. 20 interviews later, data saturation had been reached. Data collecting was place from February to March 2022 for a month. The following participant characteristics were discovered through semi-structured interviews with 20 nurse participants. Ages of the participants, who were split between eight men and twelve women, varied from 28 to 43 years (average age 36.4 years). The majority (75% of them) had a vocational education, and their years of experience ranged from five to fifteen (average 11 years). Results: 4 topics and 7 sub-themes' results. The results' fundamental message is: The Nursing Clinical Practice Dilemma, school district, virus type uncertainty Indigenous peoples do not adhere to the concept of the afterlife. Must Be Excited and Alert; School Cluster; Virus Type Confusion; Non-Belief in Covid; and the Dilemma of Nursing in Clinical Practice are the Overarching Themes of This Study. Conclusion: Making innovations to increase motivation thereby reducing mental and physical fatigue are the implications of the results of this study. Further exploration of the readiness of nurses to treat patients in the main department is believed to be beneficial for the results of this study.

Automated Laryngeal Cancer Detection and Classification Using Dwarf Mongoose Optimization Algorithm with Deep Learning.

Laryngeal cancer (LCA) is a serious disease with a concerning global rise in incidence. Accurate treatment for LCA is particularly challenging in later stages, due to its complex nature as a head and neck malignancy. To address this challenge, researchers have been actively developing various analysis methods and tools to assist medical professionals in efficient LCA identification. However, existing tools and methods often suffer from various limitations, including low accuracy in early-stage LCA detection, high computational complexity, and lengthy patient screening times. With this motivation, this study presents an Automated Laryngeal Cancer Detection and Classification using a Dwarf Mongoose Optimization Algorithm with Deep Learning (ALCAD-DMODL) technique. The main objective of the ALCAD-DMODL method is to recognize the existence of LCA using the DL model. In the presented ALCAD-DMODL technique, a median filtering (MF)-based noise removal process takes place to get rid of the noise. Additionally, the ALCAD-DMODL technique involves the EfficientNet-B0 model for deriving feature vectors from the pre-processed images. For optimal hyperparameter tuning of the EfficientNet-B0 model, the DMO algorithm can be applied to select the parameters. Finally, the multi-head bidirectional gated recurrent unit (MBGRU) model is applied for the recognition and classification of LCA. The simulation result analysis of the ALCAD-DMODL technique is carried out on the throat region image dataset. The comparison study stated the supremacy of the ALCAD-DMODL technique in terms of distinct measures.

We are facing some barriers: A qualitative study on the implementation of kangaroo mother care from the perspectives of healthcare providers.

Health systems at all levels are under pressure to provide comprehensive and high quality of care based on the best evidencebased interventions. The kangaroo mother care (KMC) is one way to care for Low Birth Weight babies (LBW) especially in developing country where the rates of preterm and LBW neonates are higher and the resources are limited. The purpose of this paper is to explore healthcare providers' perspectives of kangaroo mother care implementation in perinatology ward in the rural surgical hospital of East Java Province, Indonesia. We conducted an in-depth interviews to identify KMC implementations. Ten healthcare providers engaged with KMC were interviewed. Data was analyzed using a thematic analysis. Healthcare providers reported positives perceptions of KMC and acknowledged their important roles to give education. The barriers in implementing the KMC including the level of knowledge and the age of the mother of LBW babies. KMC as a method of treating LBW babies is effective intervention care of preterm and LBW babies. This research provides information regarding the need of supports from all levels in KMC implementation.

Analysis of organizational culture factors that influence the performance of health care professionals: A literature review.

Hospitals in today's healthcare system are under pressure to boost their competitiveness. A number of studies have shown the disconnect between corporate culture and the enhancement of healthcare professionals' performance. While it is well accepted that an organization's culture has a substantial impact on the performance of its health care professionals in clinical practice, the mechanisms by which culture might enhance health care professionals' performance remain unclear. This paper draws on 22 literature reviews and database searches using keyword syntax from Sciencedirect, Pubmed, Google Schoolar, and other relevant publications published between 2011 and 2021. Research in the field demonstrates that a company's culture may influence the efficiency and effectiveness of its healthcare employees. This overarching issue was dissected into the following themes: nurse performance mediated by discipline; the existence of cultural groups; a central focus on health care professional management; and individual, organizational, and psychological aspects. The optimal performance of nurses and the outcomes of patient care are contingent on management in the health care business knowing the cultural factors that exist in the workplace.