Word Cloud Generation Research Articles

Social representations of health-disease-care, security, and food sovereignty of indigenous students from Insikiran

The social representations of Insikiran Indigenous students regarding health-illness, care, security, insecurity, and food sovereignty were analyzed, aiming for a contextualized understanding of these topics, which are scarcely explored in the literature. This case study employed an exploratory, descriptive, and qualitative approach and was conducted at the Insikiran Institute of Indigenous Higher Education. The methodology included processing the textual corpus formed by the responses of 22 Indigenous students, using SPSS and IRaMuTeQ software. The analyses encompassed descriptive statistics, lexical analysis, descending hierarchical classification, similarity analysis, and word cloud generation. The results highlighted significant thematic diversity, emphasizing the importance of traditional health practices, concerns with chronic diseases, and the relevance of food sovereignty. The social representations were organized into three main thematic groups, demonstrating the intersections between traditional and academic knowledge. This study underscores the importance of adopting interdisciplinary and culturally adapted approaches to promote health and well-being in Indigenous communities.

Bibliometric Examination of "Bona Vacantia": Charting Patterns and Research Trends

This paper employs a bibliometric analysis to examine the primary sources of publication, authorship, citations, and research trends concerning Bona vacantia. Bona vacantia, often known as ownerless property, carries significant legal and economic significance on a global scale. Comprehending the academic discussion surrounding a topic benefits legal professionals, policymakers, and researchers. Retrieving 645 relevant articles from the Scopus database spanning 2003 to 2023, the study employs data refining and various bibliometric methods, including cluster and network analysis and word cloud generation. The analysis reveals 158 contributors from 69 countries, predominantly publishing articles. It identifies key articles, authors, and journals shaping the discourse on Bona vacantia. Although the insights provided are valuable, it is crucial to understand the limits in terms of database coverage, chronology, and paper scope. Future research should incorporate diverse databases and extend temporal perspectives to understand Bona vacantia comprehensively. This study recommends a broader research expansion to enhance understanding of this multifaceted subject.

Student discourse’s paradoxes of representations of the concept “technological well-being of Russia”

Problem and aim. The relevance of presented study lies in understanding that it is impossible to be an independent government and implement its own policies without having technological leadership. In modern youth discourse, the attractive image of the creative engineer has disappeared, without which it is impossible to achieve a change in the «user» mentality in the field of technology. Accordingly, the purpose of the study is an applied communicative-semiotic analysis of the basic representations through which students describe concepts such as «Russia’s technological wellbeing», «technological leadership» and «technological imitation». Materials and research methods. The authors of the study used communicative-semiotic analysis to study free verbal associations of students (projective methodology), which made it possible to determine the symbolic constructs of youth discourse in the ratio of internal/external and individual/collective areas that integrate human consciousness and empirical phenomena into conversations about the technological well-being of Russia (concept of M. Conway). The applied research (questionnaire) was carried out in two stages. Data processing was carried out using the method of identifying keywords by Word Cloud Generator with the subsequent formation of a word cloud as a method of information compression. The identified associations were analyzed within the Porter stemmer word stemming tool. Research results. The results of the study showed that the formation of representations in relation to the concept of «technological well-being of Russia» is contradictory. However, this inconsistency is not associated with projection of the «technological leadership» and «technological imitation» vectors. The authors found that the projection of the image of the future of Russia in the trends of technological well-being is not associated by engineer students with the role of a man. The non-subjective nature of the concept of «technological well-being» emphasizes the gaps in the system of higher engineering education associated with the imposed practice of consumer behavior. The authors proposed educational technologies for leveling the non-subjective nature in the formation of the concept of «technological well-being of Russia» in the system of higher engineering education. Conclusion. The results of the study are significant for both the theoretical and practical research base in the field of higher engineering education. An empirical basis on representations of the image of the future associated with the concept of «technological well-being» will make it possible to understand what stereotypes and constructs are relevant for young people’s individual educational trajectory. In the future, this will make it possible to make changes curriculum for future engineers in terms of social and humanitarian knowledge.

Strategic Management Adopting Digital Intelligence (Business Intelligence) for Dentistry and Dental Clinics

This qualitative research article aims to identify digital intelligence (business intelligence) essentials among dentistry and dental clinics for their strategic management. The systematic review is based on valid secondary data using sources from Google Scholar, Scopus, Web of Science and reliable online sources from 2020-2024. The researchers employed observations in data collection via online platforms from July 2023 to December 2023. The content analysis and Free Word Cloud Generator were adopted for interpretation and data analysis. The results reveal that since the 1950s, X-ray, digital imaging and Artificial Intelligence (AI) have helped dentists diagnose oral diseases. Integrating digital use into strategic management for dentistry and dental clinics revolutionizes oral healthcare delivery by improving efficiency, personalization, and accessibility of dental appointments, digital marketing, communications, and processes. Digital intelligence (business intelligence) in dentistry and dental clinics may be related to dental marketing and ethics, which involve ethical and transparent promotion of dental products, services, and research with integrity and patient welfare in mind. Marketing communications must also protect patient privacy. Dental clinics and researchers in dentistry must obtain informed consent, maintain confidentiality, and prioritize patient safety to ensure patient safety, professional ethics, and public confidence. AI-driven digital intelligence (business intelligence) is integrated with human intelligence (emotional intelligence, social intelligence, and cognitive capabilities). Using digital intelligence (business intelligence), AI helped dentists in strategic management diagnose dental diseases, and digital marketing and technology adoption have been discussed in this article regarding digital intelligence (AI integrated with human intelligence) in contemporary studies. This article explains the essentials of digital intelligence in dentistry and dental clinics. However, this paper is a systematic review and may not include respondents. Thus, questionnaires and interviews are recommended for further studies for perceptions insight results.

Patient safety discourse in a pandemic: a Twitter hashtag analysis study on #PatientSafety.

The digitalization of medicine is becoming a transformative force in modern healthcare systems. This study aims to investigate discussions regarding patient safety, as well as summarize perceived approaches to mitigating risks of adverse events expressed through the #PatientSafety Twitter hashtag during the COVID-19 pandemic. This research is grounded in the analysis of data extracted from Twitter under the hashtag #PatientSafety between December 1, 2019 and February 1, 2023. Symplur Signals, which represents a tool offering a method to monitor tweets containing hashtags registered with the Symplur Healthcare Hashtag Project, was used for analyzing the tweets shared in the study period. For text analytics of the relevant data, we further used the word cloud generator MonkeyLearn, and VOSviewer. The analysis encompasses 358'809 tweets that were shared by 90'079 Twitter users, generating a total of 1'183'384'757 impressions. Physicians contributed to 18.65% of all tweets, followed by other healthcare professionals (14.31%), and health-focused individuals (10.91%). Geographically, more than a third of tweets (60.90%) were published in the United States. Canada and India followed in second and third positions, respectively. Blocks of trending terms of greater interest to the global Twitter community within the hashtag #PatientSafety were determined to be: "Patient," "Practical doctors," and "Health Care Safety Management." The findings demonstrate the engagement of the Twitter community with COVID-19 and problems related to the training, experience of doctors and patients during a pandemic, communication, the vaccine safety and effectiveness, and potential use of off-label drugs. Noteworthy, in the field of pharmacovigilance, Twitter has the possibility of identifying adverse reactions associated with the use of drugs, including vaccines. The issue of medical errors has been also discussed by Twitter users using the hashtag #PatientSafety. It is clear that various stakeholders, including students, medical practitioners, health organizations, pharmaceutical companies, and regulatory bodies, leverage Twitter to rapidly exchange medical information, data on the disease symptoms, and the drug effects. Consequently, there is a need to further integrate Twitter-derived data into the operational routines of healthcare organizations.

Awareness and attitudes regarding oral care intervention program based on community care for older adults at home: focusing on the grounded theory

Objectives: This study is based on a visiting oral health care intervention program in the community care. This qualitative study was conducted through in-depth interviews to identify awareness and attitudes regarding intervention program among older adults. Methods: The research team visited the homes of the target older adults and conducted in-depth interviews for approximately an hour using a semi-structured questionnaire. The collected voice recordings were transcribed using Clova Note, and AI program by Naver. Using the ‘Word Cloud Generator 3.7’ program, words of high importance and interest from interview answers were extracted, visualized, and analyzed. Results: Participating older adults acknowledged that their quality of life related to oral health could be improved by increasing the level of oral health awareness and oral health knowledge through the intervention program. In addition, the older adults indicated that their oral hygiene management ability improved compared to before the intervention through expert oral hygiene management and oral health education. Further, as the level of oral health knowledge increased, so too did satisfaction with the intervention program increase. Conclusions: The intervention program for visiting oral health care showed a positive effect on the awareness and attitude of older adults. Thus, it is suggested that education for continuous competency enhancement of dental hygienists and multidisciplinary education for the improvement of general health and quality of life of older adults should be promoted.

Analyze of STEAM education research for three decades

The main objective of research is to ascertain the existing situation of STEAM education research over three decades based on the Scopus database. The entire documents are 256 findings globally data shorted by year, region, and highest cited to 100 documents. The analysis technique used VOSViewer, Microsoft Excel and word cloud generator. The result of document type articel is ranks first in Global and conference paper rank first in South East Asia. The sources that have published the top cited papers are “Journal of Small Business Management” in global and the “Education Sciences” in South East Asia. Meanwhile, the author with the most citations is Jeon M from the U.S.A. Specifically, the country with the most publications is US with 31 articles and 2553 citations. Whereas the majority of Southeast Asian countries have 9 articles and 10 citations. Supported the visualization analysis, VOSViewer's global region is divided into 4 clusters and 62 keywords to assist with the visualization analysis. A pair of clusters containing 14 keywords each for the South Asia region. The terms program, project, environment, model, and implication are frequently used in STEAM throughout the world. The keyword STEAM education appears in analyses conducted in South-East Asia. The outcome of this research can serve as a resource for scholars interested in STEAM and education. Further research into STEAM education trends can be conducted by focusing on a single region or on more specific issues.

A Framework for Illegal Online Loan Risk Using WordCloud and Big Data Analytics

Information technology has provided many conveniences in community activities. Big data on the Internet benefits many things, especially risk information that occurs without being careful in conducting transactions and credit activities online. This study analyzes online credit risk using ten variables related to online credit risk. The data set used in this paper is sourced from the Internet by using keywords that have been determined using the Uniform Resource Locator (URL) from different websites. The research method used in this study is an experimental method by classifying word variables related to online credit risk through data collection, initial data processing with a word cloud generator, and data analysis with python programming, then evaluation and validation of results. Variables analyzed such high loan interest, small loan ceiling, personal data in the App, old approval, the collector is coming, administrative costs, not yet registered with the OJK, unofficial loan institutions, consumer data protection, and cost transparency. Data collection techniques by means of questionnaires were carried out to online loan money borrowers to explore more in-depth information. The results of the analysis that has been carried out with the python programming language using the pandas, matplotlib, and seaborn libraries produce the Small Loan Ceiling variable, which greatly influences the consumer data protection variable with a value of 0.99. An in-depth analysis of these variables found that credit with a ceiling is ineffective.

Understanding the trends of tribal research in India through bibliometric analysis.

Research articles on tribal health were retrieved from Scopus and analyzed using MS Office, VOS viewer, and Word Cloud generator from January 2000 to December 2020. The number of research publications published each year, the clustering pattern of contributing authors, the most popular journals, the leading publication, document type, domain research areas, and commonly used keywords were all considered in the study. As a result of the search, 1249 research publications were found. According to our selection criteria, only 395 research papers were included in the analysis. Approximately 43 research publications were published in 2020, but only three articles were published in 2000. Almost 35.7% of articles were published in traditional medicine, and 15.7% and 14.7% of articles were published in nutrition and infectious diseases. Less than 1% of articles were published in Health Policy, and 1.5% were published in Health Systems. The study results showed that the research on tribes has now been improving in the following years. Research into tribal mental health and health care systems should be encouraged. Collaboration and funding may assist academic institutions in raising awareness of health issues in these populations.

REACHING OUT TO RETURNING STUDENTS AMIDST PANDEMIC

Some learners who had untoward experience in life turn out to be school leavers, either by their own choice or through circumstance that they did not expect. But returning after a year or more of being out of school is a new beginning for them. This study focused on investigating the experience of returning students amidst time of pandemic. Twelve returning students from grades 8 to 11 became the participants in this study. Through social media connectivity, the researchers provided assistance to them in terms of peer tutoring in different subjects, having to stay at home while doing modular tasks due to COVID 19. Seven qualitative questions were given on a weekly interval for the participants to share their experience and idea on how returning learners can adjust in schooling through the aid of peers, teachers, school, family and community. Data gathered were encoded, processed through word cloud generator, interpreted and analyzed thematically in the light of sound principles so as to construct meaningful conclusion pertaining to the assistance that can be provided to returning students. Themes were developed which surround the concept of peer assistance, teacher intervention, school program, and family and community partnership. The school system should provide safe and motivating environment, practical implementation of curriculum, and positive discipline to create a better ground for returning students. Teachers should generally improve the strategies in providing moral support and showing compassion to returning learners as part of their intervention. Peer encouragement in the form of guidance and assistance academically and morally helps returning learners pursue studies. Parents and community can collaborate in bringing about projects that promote close-family ties and academic assistance as well.

Parent-Teacher-Learner Collaboration in Modular Distance Learning

In the advent of pandemic due to COVID 19, modular distance learning became the mostly implemented approach in many schools in the Philippines – the school prepares and distributes learning materials, students stay at home and perform learning tasks, while parents assist in supervision. This study dealt with the role of parents, teachers and learners as they collaborate and bring about the best in education amidst pandemic. Fifteen respondents constituting of parents, teachers and learners participated in this qualitative research. Ten questions were solicited through Google forms on a weekly interval as the modular distance learning was being implemented in Talangan Integrated National High School, Nagcarlan, Laguna, Philippines. Qualitative questions pertaining to parents’ assistance and supervision, preparation of module and supplemental materials, provision of feedbacks, and learning habits were sent for the respondents to share ideas based on their experiences. Data were encoded, processed through word cloud generator, interpreted, and analyzed thematically in order to construct conclusion about meaningful collaboration amidst pandemic. Themes developed encompassed parents, teachers and learners contribution in collaboration. Parents’ hindrances to collaboration can be classified as internal and external in which, both can be mitigated through school intervention. Teachers can motivate parents in the process of collaboration when they reach out, give quality time and show real concern for learners’ interest. Learners are advised to avoid cramming, procrastinating, distractions, and set goals for themselves associated with every modular lesson. Recommendations were laid down to school heads and community partners, institutionalizing modular distance learning if pandemic still prevails.

Factors that influence patients’ recommendations of orthopaedic surgeons: a cross-sectional study of a popular online rating website

Background: In the modern digital age, patients have increased the use of online physician reviews prior to making healthcare decisions. The authors sought to investigate trends in online physician reviews. Methods: Healthgrades.com was queried for “orthopaedic surgery” in the state of New Jersey. Data points were collected including demographic information, fellowship training status, and the likelihood to recommend score (LTRS). Quantitative analysis was conducted using descriptive statistics, Student’s t-test, one-way analysis of variance (ANOVA), Pearson correlation, and multiple linear regression. Qualitative analysis of randomly selected positive comments and all negative comments was conducted. Common themes were identified using a frequency-based word cloud generator. Results: In total 834 board certified orthopaedic surgeons (800 men, 34 women) were identified. Fellowship-trained surgeons were more likely to be recommended. The LTRS increased with total number of reviews (r=0.205, P=0.01). Compared with waiting time more than 10 min, those with waiting time less than 10 min were more likely to be recommended. The LTRS decreased with increasing number of negative comments (r=−0.317, P=0.01). Qualitative analysis of a randomly selected sample of 4,151 out of a total of 12,168 positive comments and 1,113 total negative comments revealed that although positive comments centered on surgeon competence and professionalism, negative comments centered on surgeon personality and waiting time. Conclusions: Orthopaedic surgeons have generally favorable ratings and mostly positive comments. Knowledge of which surgeon-specific attributes are important to patients may provide valuable insight to orthopaedic surgeons on how to improve patient care and patient satisfaction as well as improve online review websites as reliable sources for evaluating physicians. Level of Evidence: Level IV.

FACTORS THAT INFLUENCE PATIENTS’ RECOMMENDATION OF ORTHOPAEDIC SURGEONS: AN ANALYSIS OF A POPULAR ONLINE RATING WEBSITE

Background:In the modern digital age, patients are increasingly consulting online physician reviews prior to making healthcare decisions. Physician review websites are being used in many medical fields including orthopaedic surgery. The purpose of this study is to investigate trends in online physician reviews and determine which factors are most strongly correlated with the likelihood that an orthopaedic surgeon is to be recommended by patients.Methods:Healthgrades.com, the most comprehensive physician rating and comparison database, was queried for “orthopaedic surgery” in the state of New Jersey. Demographic information, fellowship training status, years of experience, malpractice/disciplinary actions, physician ratings and the likelihood to recommend score (LTRS) was collected for all physicians. Quantitative analysis was conducted using descriptive statistics, student t-test, and one-way ANOVA. Qualitative analysis of randomly selected positive comments and all negative comments was conducted. Common themes were identified using frequency-based word cloud generator.Results:834 board certified orthopaedic surgeons (800 Males, 34 Females), with a mean age of 55.7±12.5 years and an average LTRS of 4.1±0.84 were included for analysis. Compared with non-fellowship trained orthopaedic surgeons, fellowship trained surgeons were more likely to be recommend by patients [3.8 vs. 4.3; P< 0.0001]. Physicians with waiting time <10min were more likely to be recommended compared with their counterparts with waiting time >10min (P< 0.0001). No differences were observed in LTRS between male and female orthopaedic surgeons (P= 0.79) or based on malpractice status (P= 0.61). Qualitative analysis of a randomly selected sample of 4,151 out of a total of 12,168 positive comments and 1,113 total negative comments revealed that positive comments centered on surgeon competence and professionalism, while negative comments centered on surgeon personality and waiting time.Conclusion:Orthopaedic surgeons have generally favorable ratings and mostly positive comments. Fellowship status and waiting time are important factors that impact LTRS. Patients were more likely to write positive comments about surgeon competence and professionalism, and negative comments pertaining to surgeon personality and waiting time. Knowledge of surgeon specific attributes that are important to patients may help educate orthopaedic surgeons to improve patient care, patient satisfaction and online ratings.Tables and FiguresFigure 1.Word cloud of randomly selected positive comments with most frequent words centered around professionalism and surgeon competency; larger size indicates more frequent words.

The development of lived experience-centered word clouds to support research uncertainty gathering in degenerative cervical myelopathy: results from an engagement process and protocol for their evaluation, via a nested randomized controlled trial

ObjectivesAO Spine REsearch objectives and Common Data Elements for Degenerative Cervical Myelopathy [RECODE-DCM] is a multi-stakeholder consensus process aiming to promote research efficiency in DCM. It aims to establish the top 10 research uncertainties, through a James Lind Alliance Priority Setting Partnership [PSP]. Through a consensus process, research questions are generated and ranked. The inclusion of people with cervical myelopathy [PwCM] is central to the process. We hypothesized that presenting PwCM experience through word cloud generation would stimulate other key stakeholders to generate research questions better aligned with PwCM needs. This protocol outlines our plans to evaluate this as a nested methodological study within our PSP.MethodsAn online poll asked PwCM to submit and vote on words associated with aspects of DCM. After review, a refined word list was re-polled for voting and word submission. Word clouds were generated and an implementation plan for AO Spine RECODE-DCM PSP surveys was subsequently developed.ResultsSeventy-nine terms were submitted after the first poll. Eighty-seven refined words were then re-polled (which added a further 39 words). Four word clouds were generated under the categories of diagnosis, management, long-term effects, and other. A 1:1 block randomization protocol to assess word cloud impact on the number and relevance of PSP research questions was generated.ConclusionsWe have shown it is feasible to work with PwCM to generate a tool for the AO Spine RECODE-DCM nested methodological study. Once the survey stage is completed, we will be able to evaluate the impact of the word clouds. Further research will be needed to assess the value of any impact in terms of stimulating a more creative research agenda.

Leveraging integrated peer-assisted learning clusters as a support for online learning

ABSTRACT The COVID-19 pandemic necessitated a quick transition to online learning widely. This study examined the contributions of the peer-to-peer learning interactions within integrated peer-assisted learning clusters to learning among students in universities in Harbin, China, and Akure, Nigeria respectively. The frequency of peer-to-peer interactions in peer-assisted learning clusters in both locations were studied in 2019, and followed by a study to assess the changing characteristics and nature of the learning interactions during the transition to online learning in 2020. Data was curated using Excel, Origin-Pro, and Wordcloud generator. Approximately 60 % of the participants used social media for peer-to-peer learning interactions daily within their peer-assisted learning cluster before the transition. The frequency of usage of all the communication technology-mediated means of peer-assisted learning interactions considered during online learning except emails. The increase in the frequency of learning interaction among students in universities in Harbin ranges from 32.1 % to 94.4 %. Students in Nigeria could not make this quick transition because of other factors highlighted. The learning interactions within their online cluster contribute positively to the online learning of 83.6% of the participants. Peer-to-peer learning interactions was successfully leveraged in the transition to the online learning occasioned by the pandemic.

163 Frailty, Doesn’t That Mean Birdlike? Research Into Attitudes and Understanding of Frailty in Undergraduate and Postgraduate Trainees

Abstract Introduction Frailty is an increasingly recognised concept, with 25–50% of over 85’s estimated to be frail1,. Previous research considered medical students’ attitudes towards older people2, yet despite the correlation between frailty and increased age3, little is known about attitudes of healthcare professionals towards frailty. We researched attitudes towards, and understanding of, frailty in undergraduate and postgraduate trainees, with a view to guiding future educational interventions. Method Approval was granted by Northumbria Healthcare NHS Foundation Trust (NHCT) Research and Development department, Newcastle University’s Research Management Group and the HRA. 3 cohorts were recruited; 3rd year Newcastle University MBBS Students, 5th year Newcastle University MBBS Students and Foundation Year 2 and Core Medical Trainees working for NHCT (junior doctors). Data was collected during scheduled teaching at NHCT and individuals were invited to participate via email prior to this. Those not participating were still required to attend the teaching. Participants provided written consent. Within each cohort, small group discussions around frailty and Comprehensive Geriatric Assessment (CGA) were prompted using open questions (e.g. “what does frailty mean to you?”), during which participants anonymously submitted phrases to an online word-cloud generator. Discussions were audio recorded and transcribed. Transcriptions and word-clouds were analysed using Simple Content Analysis. The over-arching themes within each cohort were identified and compared with other cohorts. Interpretations were reviewed by an independent researcher to enhance rigour. Results Each cohort associated frailty with older age and weakness, and often used it as a byword for complexity. Frailty was described as an abstract construct composed of personal experiences rather than an objectively defined descriptor. All associated it with negative emotions. Cohorts differed in their approach, with 3rd year students primarily focussed on defining frailty, whereas junior doctors prioritised the clinical challenges it presented. Junior doctors demonstrated limited understanding of CGA whilst undergraduate students were almost universally ignorant of it. Conclusions The lack of understanding around frailty and CGA is concerning given its high prevalence. The identification of negative emotions increases this concern. To challenge this, focussed educational interventions addressing understanding and attitudes ought to be developed for tomorrow’s doctors.

INVESTIGANDO APROXIMAÇÕES ENTRE TEXTOS DE DIVULGAÇÃO CIENTÍFICA E LIVROS DIDÁTICOS DE QUÍMICA

Com o objetivo de promover a utilização de Textos de Divulgação Científica (TDC), por professores de Química da Educação Básica, este trabalho buscou analisar afinidades existentes entre os TDC publicados na Revista Ciência Hoje, selecionados por Cantanhede (2012) e Sousa, Cantanhede e Cantanhede (2020) para o conteúdo Ligações Químicas, e as discussões sobre esse conteúdo presentes nos seis Livros Didáticos de Química, indicados pelo Programa Nacional do Livro Didático (PNLD), para o triênio 2018/2020. A análise da afinidade foi realizada pela ferramenta Wordle, a partir da geração de nuvem de palavras, que destaca os termos mais frequentes em um conjunto de palavras, e o software IRaMuTeQ, utilizado para análise qualitativa de dados textuais, a partir da Análise Fatorial por Correspondência (AFC) e análise de Similitude. Os TDC, Por que a água não pega fogo se é formada por dois elementos combustíveis? (Edição 231, out/2006) e Como o enxofre pode se ligar mais de duas vezes ao oxigênio sendo ambos bivalentes? (Edição 276, nov/2010), apresentaram uma afinidade satisfatória com a forma com que o conteúdo Ligações Químicas é discutido nos LD investigados, considerando as nuvens de palavras geradas a partir desses materiais. Os termos de maior destaque nos LD foram: hidrogênio, átomo, substância, elemento, molécula e ligação. Os TDC se utilizam desses termos para fazer menções de significados e explicações dos fenômenos químicos com os termos em destaque nas nuvens. Essas relações entre TDC e LD, podem representar um importante parâmetro para a utilização de TDC em sala de aula e, assim, sustentar discussões de forma contextualizada de conteúdos químicos na Educação Básica.

Digital support for living with and beyond gynaecological cancer

IntroductionGynae-Radiotherapy places exceptional psychosocial and physical burdens on patients. Technological developments and associated acute toxicity and survival outcomes have improved, however holistic support has not kept pace. Digital technologies have potential to enhance support and patient experience.The project aimed to co-create a prototype of a digital health intervention that could serve the needs of women living with and beyond treatment for gynaecological cancer. MethodsA multi-disciplinary and co-creation approach was adopted. Four workshops were held, comprising of a number of activities to support participants’ expression of views and facilitate discussion. Methods included word cloud generation, prompt cards, empathy maps and persona creation, domain storylines and requirements identification. ResultsSupport drops off dramatically once treatment is completed. Patients struggled to adjust to their ‘new normal’ and felt unprepared for changes post-treatment. Patients felt overwhelmed with leaflets yet wanted instant access to reliable and relevant information in one place, better information on late side effects and improved communication about sexual health and sexuality. Reassurance through a digital intervention was viewed positively and specific ideas for achieving this were suggested through: Sharing experiences; targeted practical advice; peer support and advice/support for significant others. ConclusionThe co-creation of a prototype generated further discussion and an interactive prototype was developed. Based on workshop findings it is believed that the intervention could provide life-long support for women living with and beyond cancer. Implications for practiceIncreased focus is needed on the late effects of radiotherapy, specifically in supporting psychosocial wellbeing. Co-creation is a rewarding and fulfilling activity that met numerous aims beyond those of the project. It is recommended that mixed staff-patient groups are developed and adopted in more informal ways for the improvement of services.

2288-PUB: Capturing the Emotional Burden of Gestational Diabetes

Gestational diabetes (GDM) is increasingly common and the burden to healthcare services is well recognized. Less understood is the emotional burden associated with a diagnosis of GDM, from the women’s perspective. A qualitative study of women attending the Royal Prince Alfred Hospital, Sydney Antenatal Diabetes Service was undertaken during a 14-week period in 2018. Women were invited to complete an anonymous questionnaire which asked, “How do you feel about the diagnosis of Gestational Diabetes?” Women were included in the study at three time points, i) newly diagnosed with GDM ii) at 36 weeks gestation and iii) at 3-month follow-up post-delivery. Responses were received from 189 women; 121, 32 and 36 at diagnosis, 36 weeks and post-delivery time points respectively. Their free text responses were transcribed and a thematic analysis of content was undertaken. Results were visualized using a word cloud and tag cloud generator (www.wordclouds.com) with font size representing the prominence or frequency of words expressed. As demonstrated by the images generated, the predominant feelings expressed at diagnosis were ‘worried,’ ‘disappointed,’ ‘upset,’ ‘sad’ and ‘anxious.’ These negative emotions prevailed irrespective of previous GDM experience and maternal age. At 36 weeks the predominant feelings expressed were ‘frustrated,’ ‘disappointed,’ ‘worried,’ ‘upset’ and ‘anxious.’ The primary emotion expressed in diet treated women was ‘anxious’ and in insulin treated women ‘worried.’ Post-delivery, the predominant words were ‘relieved,’ ‘supported’ and ‘anxious.’ In conclusion, there was a high prevalence of negative emotion expressed by women with GDM at diagnosis which persisted throughout pregnancy and, for many, into the postnatal period. Clinicians need to be mindful of this high emotional burden with the aim to better support women with GDM and reduce associated distress. Disclosure A. Harding: None. M. McGill: None. A. Gauld: None. C.M. Pech: None. D. O'Connor: None. M.I. Constantino: None. G.P. Ross: Other Relationship; Self; Roche Diabetes Care Australia. T. Wu: Advisory Panel; Self; Boehringer Ingelheim International GmbH, Eli Lilly and Company, Novo Nordisk A/S, Sanofi. Speaker's Bureau; Self; AstraZeneca, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Merck Sharp &amp; Dohme Corp., Novo Nordisk A/S, Sanofi. J. Wong: Advisory Panel; Self; Sanofi. Speaker's Bureau; Self; AstraZeneca, Lilly Diabetes.

TrainME (Training Management Endeavors): A Web-based Training Needs Assessment and Management System (The Development Process)

TrainME is a web-based and mobile-responsive system that addresses the training needs assessment and management concerns of the Office of Extension Services and Community Development that community-based clients to submit their profile and convey interest in training areas; notifies registered trainers to accept a lecturer task, view clients’ information, and download training documents; and provides a dashboard for system administrator to manage the training programs, trainers, schedule, notifications, and reports via a web-based application. The waterfall model of Systems Development Life Cycle served as the guiding methodology in developing the system while the IEEE standard format for documentation was employed in writing the SRS, SPMP, SDD and STD. The system was subjected to use case testing by the office of the extension services staff. Result of the use case testing showed that the application meet the requirements, indicated as “Passed” set by the clients. Graphical data representation, opinion mining, and word cloud generation are some of the recommendations noted for future improvements of the project.