Online Journal of Public Health Informatics https://journals.uic.edu/ojs/index.php/ojphi <p>Interest in informatics as a specialty in the health sciences disciplines reflects the central role that information collection, analysis, and utilization now play in the healthcare sector. New public health threats such as bioterrorism and flu pandemics will demand an improved infrastructure for disseminating information about best practices. The Online Journal of Public Health Informatics (OJPHI) strives to satisfy the growing need for a public health informatics knowledge portal by practitioners, researchers, educators, and policy makers. It is a quarterly open access, open source, peer-reviewed journal.</p> en-US Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. 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It is the author's responsibility to bring an infringement action if so desired by the author. dehasnem@uic.edu (Edward Mensah, PhD) knaval14@gmail.com (Aneesh Naavaal, MD, MS) Thu, 11 Aug 2022 00:54:04 -0500 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 Health Information Technology During during the COVID-19 Epidemic https://journals.uic.edu/ojs/index.php/ojphi/article/view/11090 <p>Background: Due to the prevalence of the COVID-19 epidemic in all countries of the world, the need to apply health information technology is of great importance. Hence, the study has identified the role of health information technology during the period of COVID-19 epidemic.</p> <p>Methods: The present research is a review study by employing text-mining techniques. Therefore, 941 published documents related to health information technology's role during COVID-19 epidemic were extracted by keyword searching in the Web of Science database. In order to analyze the data and implement the text mining and topic modeling algorithms, Python programming language was applied.</p> <p>Results: The results indicated that the highest number of publications related to the role of health information technology in the period of COVID-19 epidemic was respectively on the following topics: “Models and smart systems,” “Telemedicine,” “Health care,” “Health information technology,” “Evidence-based medicine,” “Big data and statistic analysis.”</p> <p>Conclusion: Health information technology has been extensively used during COVID-19 epidemic. Therefore, different communities could apply these technologies, considering the conditions and facilities to manage COVID-19 epidemic better.</p> Meisam Dastani, Alireza Atarodi Copyright (c) 2022 Online Journal of Public Health Informatics https://journals.uic.edu/ojs/index.php/ojphi/article/view/11090 Thu, 11 Aug 2022 00:00:00 -0500 Population Segmentation Using a Novel Socio-Demographic Dataset https://journals.uic.edu/ojs/index.php/ojphi/article/view/11651 <p>Appending market segmentation data to a national healthcare knowledge, attitude and behavior survey and medical claims by geocode can provide valuable insight for providers, payers and public health entities to better understand populations at a hyperlocal level and develop cohort-specific strategies for health improvement. A prolonged use case investigates population factors, including social determinants of health, in depression and develops cohort-level management strategies, utilizing market segmentation and survey data. Survey response scores for each segment were normalized against the average national score and appended to claims data to identify at-risk segment whose scores were compared with three socio-demographically comparable but not at-risk segments via Nonparametric Mann-Whitney U test to identify specific risk factors for intervention. The marketing segment, New Melting Point (NMP), was identified as at-risk. The median scores of three comparable segments differed from NMP in “Inability to Pay For Basic Needs” (121% vs 123%), “Lack of Transportation” (112% vs 153%), “Utilities Threatened” (103% vs 239%), “Delay Visiting MD” (67% vs 181%), “Delay/Not Fill Prescription” (117% vs 182%), “Depressed: All/Most Time” (127% vs 150%), and “Internet: Virtual Visit” (55% vs 130%) (all with p&lt;0.001). The appended dataset illustrates NMP as having many stressors (e.g., difficult social situations, delaying seeking medical care). Strategies to improve depression management in NMP could employ virtual visits, or pharmacy incentives. Insights gleaned from appending market segmentation and healthcare utilization survey data can fill in knowledge gaps from claims-based data and provide practical and actionable insights for use by providers, payers and public health entities.</p> Elisabeth Scheufele, Brandi Hodor, George Popa, Suwei Wang, William Kassler, Jane Snowdon Copyright (c) 2022 Online Journal of Public Health Informatics https://journals.uic.edu/ojs/index.php/ojphi/article/view/11651 Thu, 11 Aug 2022 00:00:00 -0500 Your Tweets Matter: https://journals.uic.edu/ojs/index.php/ojphi/article/view/12419 <p><strong>Objective:</strong> The aims of the study were to examine the association between social media sentiments surrounding COVID-19 vaccination and the effects on vaccination rates in the United States (US), as well as other contributing factors to the COVID-19 vaccine hesitancy.</p> <p><strong>Method: </strong>The dataset used in this study consists of vaccine-related English tweets collected in real-time from January 4 - May 11, 2021, posted within the US, as well as health literacy (HL), social vulnerability index (SVI), and vaccination rates at the state level.</p> <p><strong>Results:</strong> The findings presented in this study demonstrate a significant correlation between the sentiments of the tweets and the vaccination rate in the US. The results also suggest a significant negative association between HL and SVI and that the state demographics correlate with both HL and SVI.</p> <p><strong>Discussion: </strong>Social media activity provides insights into public opinion about vaccinations and helps determine the required public health interventions to increase the vaccination rate in the US.</p> <p><strong>Conclusion:</strong> Health literacy, social vulnerability index and monitoring of social media sentiments need to be considered in public health interventions as part of vaccination campaigns.</p> <p><strong>Keywords</strong>: COVID–19, Health Literacy, COVID–19 Vaccine Hesitancy, Social Vulnerability Index, Social Media, Social Determinants of Health</p> <p><strong>Abbreviations</strong>: Health Literacy (HL), Social Vulnerability Index (SVI), Social Determinants of Health (SDOH), United States (US)</p> <p><strong>Correspondence</strong>: <a href="mailto:gabriela.wilson@uta.edu">gabriela.wilson@uta.edu</a></p> Gabriela Mustata Wilson, Ana Aleksandric, Mercy Jesuloluwa Obasanya, Sarah Melcher, Shirin Nilizadeh Copyright (c) 2022 Online Journal of Public Health Informatics https://journals.uic.edu/ojs/index.php/ojphi/article/view/12419 Thu, 11 Aug 2022 00:00:00 -0500