Navigating the asthma network on Twitter: Insights from social network and sentiment analysis.

Background: Asthma is a condition in which the airways become inflamed and constricted, causing breathing difficulties, wheezing, coughing, and chest tightness. Social networks can have a substantial effect on asthma management and results. However, no studies of social networks addressing asthma have been undertaken. Objective: The aim of this research was to identify the significant social network structures, key influencers, top topics, and sentiments of asthma-related Twitter conversations. Methods: All the tweets collected for this study included the keyword "asthma" or were mentioned in or in replies to tweets that were performed. For this study, a random sample of Twitter data was collected using NodeXL Pro software between December 1, 2022, and January 29, 2023. The data collected includes the user's display name, Twitter handle, tweet text, and the tweet's publishing date and time. After being imported into the Gephi application, the NodeXL data were then shown using the Fruchterman-Reingold layout method. In our study, SNA (Social Network Analysis) metrics were utilized to identify the most popular subject using hashtags, sentiment-related phrases (positive, negative, or neutral), and top influencer by centrality measures (degree, betweenness). Results: The study collected 48,122 tweets containing the keyword "asthma" or mentioned in replies. News reporters and journalists emerged as top influencers based on centrality measures in Twitter conversations about asthma, followed by government and healthcare institutions. Education, trigger factors (e.g., cat exposure, diet), and associated conditions were highly discussed topics on asthma-related social media posts (e.g., sarscov2, copd). Our study's sentiment analysis revealed that there were 8427 phrases associated neutral comments (18%), 12,582 words reflecting positive viewpoints (26%), and 27,111 words reflecting negative opinions (56%). Conclusion: This study investigates the relevance of social media influencers, news reporters, health experts, health organizations, and the government in the dissemination and promotion of asthma-related education and awareness during public health information.

Development and validation of assessment instrument for the perception and attitude toward tuberculosis among the general population in Indonesia: a Rasch analysis of psychometric properties.

Introduction: Tuberculosis (TB)-related knowledge is an important evaluation metric for health education interventions. Factor analysis is limited when used on ordinal scales and does not provide in-depth item function examinations, whereas Rasch analysis addresses these limitations and offers potential advantages such as generalizability, testing of unidimensionality, producing an ordered set of items, and identifying poorly functioning items. Therefore, this research aims to develop a reliable and valid measure of perception and attitude toward TB (PATT) for public application use Rasch Analysis. Methods: A questionnaire-based survey was conducted on the Indonesian general population using the Google Form platform. Rasch analysis was then employed to examine the psychometric properties and develop the final items of PATT. Results: Experts from across the TB community participated in the PATT development, producing an initial scale of 16 items. Up to 1,616 participants completed the PATT questionnaire, where 74.8% were female, and 5% had a TB history. The final unidimensional 16-item scale has an item reliability of 1.00 for the two components (perception and attitude), a person reliability index of 0.87 and 0.60, as well as a Cronbach's test reliability of 0.88 and 0.88 for perception and attitude, respectively. Conclusion: The PATT is a unidimensional scale with good construct validity and internal consistency. It has the potential to be useful for the assessment of TB perception and attitude in research and clinical practice.

Development and Validation of Questionnaire to Measure Parents' Knowledge, Attitude, and Practice on Self-Medication of Children with Antibiotics in Bandung, Indonesia.

Purpose: This study aimed to develop and validate a questionnaire to measure the knowledge, attitude, and practice of parents regarding antibiotic use in Indonesian children using structural equation modeling (SEM) analysis. Methods: The instrument development process was conducted from January 5 to 19, 2023, using the following steps: 1) literature review and item development, 2) internal review and refinement, 3) structural model analysis, and 4) measurement models' reliability and validity. A convenience sample was used to recruit parents as participants from Arcamanik District, Bandung, Indonesia. A total of 83 respondents completed the on-site interview questionnaire. Furthermore, statistical analyses were performed using SPSS Version 21.0 and Analysis of Moment Structures (AMOS) Version 26.0. Results: The content validity for the scales was over 50%, and the reliabilities for the 38 items of the questionnaire were above 0.6, respectively. The suitability of the model was assessed, and the findings showed parameters for indicators: chi-square = 0.0004, CFI = 0.977, RMSEA = 0.044, CMIN/DF = 1.162, AGFI = 0.651, TLI = 0.973, and NFI = 0.860. The GFI parameter did not fit with the output value of 0.718, while the convergent and divergent validity of scores provided evidence in the expected direction. Conclusion: This psychometric development study provides preliminary evidence that the 38-item scales were reliable and valid for assessing knowledge, attitude, and practice toward parents in the self-medication of antibiotics in children.

The assessment of Twitter discourse on the new COVID-19 variant, XBB.1.5, through social network analysis.

Background: XBB.1.5 is a new subvariant of the SARS-CoV-2 Omicron variant with increased transmissibility and immune escape potential. Twitter has been used to share information and assess this subvariant. Objectives: This study aims to investigate the channel graph, key influencers, top sources, most trends, and pattern discussion, as well as sentiment measures related to Covid-19 XBB.1.5 variant, by using social network analysis (SNA). Methods: This experiment involved the collection of Twitter data through the keywords, "XBB.1.5″, and NodeXL, with the obtained information subsequently cleaned to remove duplication and irrelevant tweets. SNA was also performed by using analytical metrics to identify influential users and understand the patterns of connectivity among those discussing XBB.1.5. on Twitter. Moreover, the results were visualized through Gephi software, with sentiment analysis performed by using Azure Machine Learning to categorize tweets into three categories, namely positive, negative, and neutral. Results: A total of 43,394 XBB.1.5-based tweets were identified, with five key users observed with the highest betweenness centrality score (BCS), namely "ojimakohei"(red), mikito_777 (blue), "nagunagumomo" (green), "erictopol" (orange), w2skwn3 (yellow). The other hand, the in-degree, out-degree, betweenness, closeness, and eigenvector centrality scores of the top 10 Twitter users to explain various patterns and trends and "ojimakohei" was highly central in the network. Most of the top domains (sources) used in XBB.1.5 discourse originated from Twitter, Japanese websites (co.jp and or.jp), and scientific analysis links (biorxiv.org and cdc.gov). This analysis indicated that most of the tweets (61.35 %) were positively classified, accompanied by neutral (22.44 %) and negative (16.20 %) sentiments. Conclusion: Japan was actively engaged in evaluating the XBB.1.5 variant, with influential users playing a crucial role. The preference for sharing verified sources and the positive sentiment demonstrated a commitment to health awareness. We recommend fostering collaborations between health organizations, the government, and Twitter influencers to address COVID-19-related misinformation and its variants.

Knowledge, perceptions, and readiness of telepharmacy (KPR-TP) questionnaire among pharmacists: Development and psychometric evaluation.

INTRODUCTION: The pandemic increased pressure on healthcare services and forced limited care in all health facilities to ensure the care of all patients. Telepharmacy appears as an alternative to the remote pharmacy practice approach through information and communication technologies, but there are no comprehensive tools to measure pharmacists' knowledge, perception, and readiness to implement telepharmacy. This study developed and validated a questionnaire version of the Knowledge, Perceptions, and Readiness of Telepharmacy (KPR-TP) for pharmacists. METHODS: The KPR-TP assessed three domains: knowledge, perception, and readiness. Its factor structure, reliability, and validity were assessed using 7730 pharmacists from 34 Indonesian provinces. The validity of the model's three-factor structure was assessed using confirmatory factor analysis. Cronbach's alpha and composite reliability were used to validate the consistency of our factors, whereas convergent and discriminant validity established significant relationships between them. RESULTS: The goodness-of-fit index indicated that the model was economical and reasonable. Furthermore, the correlation between the three domains revealed a significant positive relationship. KRP-TP is a viable instrument for assessing pharmacists' perceptions of telepharmacy in Indonesia. CONCLUSION: Overall, we discovered that our questionnaire contains critical constructs for assessing a pharmacist's knowledge, perception, and level of readiness to implement telepharmacy. This study will help pharmacists identify appropriate strategies for skill improvement.

A Systematic Review of Compensation and Technology-Mediated Strategies to Maintain Older Adults' Medication Adherence.

Elderly medication adherence is a challenge in health care. The elderly are often at higher risk for non-adherence, and more likely to be on multiple prescription medications for many comorbidities. This systematic review aimed to explore the current strategies for maintaining older adults' medication adherence with compensation and technology-mediated strategies. We conducted a systematic review to examine related articles published in the PubMed, Web of Science, and Scopus databases, as well as Google Scholar for additional reference sources by cross-reference review. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to guide this review. A total of 217 articles were screened, and 27 studies fulfilled the inclusion criteria. Older adults applied a variety of methods to maintain or enhance their medication adherence. Three studies indicated compensation strategies, 19 studies reported technological assistance, two studies used other strategies (community-offered help or caregivers help), and three studies used a combination of compensation with another strategy or technology. Studies identified various compensation- and technology-based strategies carried out by older adults to help remind them to take medication. This review identified potential benefits of technology and compensation strategy implementation in older adults to increase medication adherence. Although we are conscious of the heterogeneity of the included studies, it remains challenging to determine which elements underpin the most effective approaches.

Role of Pharmacists in Antimicrobial Stewardship During COVID-19 Outbreak: A Scoping Review.

Since the beginning of the coronavirus disease 2019 (COVID-19) pandemic, pharmacists have been on the front lines of health care, offering vital services. Consequently, the need for pharmacists to support an effective antibiotic stewardship (AMS) program during the COVID-19 outbreak has become increasingly evident. This scoping review was performed to examine related articles in 2020-2022 published in the Scopus, SAGE, and Cochrane databases with the keywords "Pharmacist" and "Antibiotic Stewardship" and "COVID-19". The inclusion criteria were full-text articles written in English. A total of 15 articles were included in this review to describe the role of pharmacists in AMS during the COVID-19 outbreak. In general, pharmacists are responsible for identifying and treating patients during pandemics, ensuring the continued supply and accessibility of medications, promoting health policies, and monitoring antibiotic use for COVID-19 cases and co-infections. At the hospital, as the most significant element for pharmacists on the AMS team, the apparent change is demonstrated in educating patients on telehealth services, clarifying misconceptions about treatments and antibiotic consumption, as well as taking a leadership position to establish local guidelines for the COVID-19 treatment protocol. Pharmacists have an important role in the AMS program, and the COVID-19 pandemic was perceived as a highlight their importance. Therefore, their work with the AMS program needs to be improved as they learn to extend their role in telehealth services, educate and clarify the misconceptions about COVID-19 treatments and other antibiotic consumption in the community, inventory control the COVID-19 drug, antibiotics, and vaccine, as well as take the lead in establishing local guidelines on antibiotic consumption during the pandemic outbreak.