A survey of exposure to the use of Xiaflex for the treatment of Peyronie's disease among United States urology residency programs.

Xiaflex® (collagenase clostridium histolyticum) is a Food and Drug Administration-approved treatment for patients with Peyronie's disease. Despite its approval and implementation, there is concern that urologists in training are offered minimal exposure to its use. Thus, the purpose of this study was to evaluate the exposure of urology residents to Peyronie's disease and its management, particularly Xiaflex®. A Google Forms survey regarding the exposure of residents to Peyronie's disease and use of Xiaflex® was created and disseminated through email to urology programs. Overall, 47 institutional responses were received. At 45 institutions (95.7%), residents receive training in directly evaluating and caring for patients with Peyronie's disease. At 46 institutions (97.9%), residents receive training in observing and/or performing surgical procedures for Peyronie's disease. Residents at 31 institutions (66.0%) receive observational or procedural training for non-surgical management of Peyronie's disease, specifically Xiaflex®. Residents receive non-surgical training from an academic faculty who is fellowship trained in sexual medicine at 25 institutions and an academic faculty not trained in sexual medicine at six institutions. There exists a glaring disparity in residency exposure to Xiaflex®. Further research is warranted to elucidate how programs can provide residents with further exposure to the use of Xiaflex® in patients with Peyronie's disease.

A digital literacy model to narrow the digital literacy skills gap.

The concept of digital literacy is increasingly prevalent in the 21st century. Growing demands from the work sector for individuals to be digitally literate has prompted targeted interventions and innovations from the education sector to instil digital skills into the future workforce. However, despite efforts the digital skills gap remains visible globally. This paper explores the prominent educational frameworks and models, their advantages and limitations in 21st-century learning and teaching. Furthermore, a new innovative digital literacy model has been proposed to be integrated into the existing and future education frameworks and models to assist educationists in narrowing the digital skills gaps and preparing graduates for the work sector. The digital literacy model consists of two components: (1) the digital literacy framework- South Pacific Digital Literacy Framework (SPDLF) and (2) the digital literacy tool. The SPDLF reflects six major literacies identified for the 21st-century while the digital literacy tool--digilitFJ consists of a digital literacy measuring scale and an online intervention program. The exploratory factor analysis showed that the SPDLF was valid. On the other hand, heuristics, student attitude, and satisfaction and effectiveness of the digital literacy tool were also evaluated from the student's perspective to reflect its usefulness. The survey results also showed a positive attitude and perception of the use of the tool. Additionally, Cohen's d value showed that the digital literacy tool was effective. Therefore, if the tool is implemented and adopted, it can narrow the existing digital skills gap in the South Pacific.

Attitudes and awareness of regional Pacific Island students towards e-learning.

The rise of online modes of content delivery, termed e-learning, has increased student convenience and provided geographically remote students with more options for tertiary education. However, its efficacy relies upon student access to suitable technology and the internet, and the quality of the online course material. With the COVID-19 outbreak, education providers worldwide were forced to turn to e-learning to retain their student base and allow them to continue learning through the pandemic. However, in geographically remote, developing nations, many students may not have access to suitable technology or internet connections. Hence it is important to understand the potential of e-learning to maintain equitable access to education in such situations. This study found the majority (88%) of commencing students at the University of the South Pacific owned at least one ICT device and had access to the internet. Similarly, most students had adequate to strong ICT skills and a positive attitude toward e-learning. These attitudes among the student cohort, in conjunction with the previous experience of The University of the South Pacific in distance education, are likely to have contributed to its relatively successful transition from face-to-face to online learning as a result of the COVID-19 pandemic.

COVID-19 vaccine hesitancy linked to increased internet search queries for side effects on fertility potential in the initial rollout phase following Emergency Use Authorization.

The Emergency Use Authorization (EUA) of the COVID-19 vaccine on December 11, 2020 has been met with hesitancy for uptake with some citing potential impacts on future fertility. We hypothesised that irrespective of sex, fertility-related queries would markedly increase during the 48 days following EUA of the coronavirus vaccine. We sought to objectively identify trends in internet search queries on public concerns regarding COVID-19 vaccine side effects on fertility that might impact vaccine uptake. We used Google Trends to investigate queries in Google's Search Engine relating to the coronavirus vaccine and fertility between 10/24/2020 and 1/27/2021. The five most queried terms were identified as: 'COVID Vaccine Fertility', 'COVID Vaccine and Infertility', 'COVID Vaccine Infertility', 'COVID Vaccine Fertility CDC', and 'COVID 19 Vaccine Infertility' with an increase of 710.47%, 207.56%, 264.35%, 2,943.7%, and 529.26%, respectively, all p < .001. This study indicates that there was an increase in online COVID-19 vaccine-related queries regarding fertility side effects coinciding with the Emergency Use Authorization (EUA) on December 11, 2020. Our results objectively evidence the increased concern regarding the vaccine and likely demonstrate a major cause for hesitancy in vaccine uptake. Future studies and counselling with patients should be undertaken to help mitigate these concerns.

Contextualized game-based intervention for digital literacy for the Pacific Islands.

In the digital age, advocating and improving digital literacy is a global challenge. There have been scales developed to measure individuals' digital literacy competencies; however, intervention programs have been only a few. This research paper articulates design details, validity, reliability and effectiveness of a new online modulated digital literacy intervention program (DLIP). For the development of DLIP, digital literacy is stipulated in this research as a universal framework that consists of six different literacies; media, information, technology, computer, visual, and communication literacy. An online module has been designed for each of these six literacies, and the concept of game-based learning has been used to engage the users and secure high user satisfaction. To test the reliability of the intervention, the Kuder- Richardson- 20 (KR-20) test was performed. The developed intervention was deemed to be reliable with the KR-20 value of 0.86. The construct validity was measured using the spearman's correlation test and since the values for all the constructs were above 0.3, the DLIP was valid. The effectiveness of the DLIP was evaluated by calculating the effect size. The Cohen's d test was used and the results show that the intervention was moderately effective. Although DLIP has been developed for the Pacific Islands it has global applicability.

A Systematic Review of Artificial Intelligence in Prostate Cancer.

The diagnosis and management of prostate cancer involves the interpretation of data from multiple modalities to aid in decision making. Tools like PSA levels, MRI guided biopsies, genomic biomarkers, and Gleason grading are used to diagnose, risk stratify, and then monitor patients during respective follow-ups. Nevertheless, diagnosis tracking and subsequent risk stratification often lend itself to significant subjectivity. Artificial intelligence (AI) can allow clinicians to recognize difficult relationships and manage enormous data sets, which is a task that is both extraordinarily difficult and time consuming for humans. By using AI algorithms and reducing the level of subjectivity, it is possible to use fewer resources while improving the overall efficiency and accuracy in prostate cancer diagnosis and management. Thus, this systematic review focuses on analyzing advancements in AI-based artificial neural networks (ANN) and their current role in prostate cancer diagnosis and management.