Browsing by Author "Simhadri, Suguna"

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    Assessing Caregiver and Provider Knowledge Gaps in Autism Spectrum Disorder Using the Autism Knowledge Survey
    (2023-04-24) Simhadri, Suguna; Neal, Tiffany; Swiezy, Naomi
    Autism Spectrum Disorder (ASD) is often misunderstood, leading to delays in diagnosis, intervention, and support. The Autism Knowledge Survey (AKS) was developed to identify knowledge gaps and barriers to shared understanding among caregivers, educators, and providers. During this practicum at HANDS in Autism®, the student focused on reviewing and preparing data from the second iteration of the AKS (AKS2), integrating it with AKS1 to support manuscript development and future journal submission. Tasks included manuscript review, dataset refinement, and statistical analysis using REDCap, R, and Microsoft Excel. Results from AKS2 will inform targeted ASD education efforts and improve stakeholder understanding of core diagnostic and intervention principles. The practicum reinforced the importance of data-informed dissemination in reducing stigma and guiding community-based training and outreach for ASD.
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    Perceptions on Oral Ulcers From Facebook Page Categories: Observational Study
    (JMIR, 2023-01) Simhadri, Suguna; Yalamanchi, Sriha; Stone, Sean; Srinivasan, Mythily; Oral Pathology, Medicine and Radiology, School of Dentistry
    Background: Oral ulcers are a common condition affecting a considerable proportion of the population, and they are often associated with trauma and stress. They are very painful, and interfere with eating. As they are usually considered an annoyance, people may turn to social media for potential management options. Facebook is one of the most commonly accessed social media platforms and is the primary source of news information, including health information, for a significant percentage of American adults. Given the increasing importance of social media as a source of health information, potential remedies, and prevention strategies, it is essential to understand the type and quality of information available on Facebook regarding oral ulcers. Objective: The goal of our study was to evaluate information on recurrent oral ulcers that can be accessed via the most popular social media network—Facebook. Methods: We performed a keyword search of Facebook pages on 2 consecutive days in March 2022, using duplicate, newly created accounts, and then anonymized all posts. The collected pages were filtered, using predefined criteria to include only English-language pages wherein oral ulcer information was posted by the general public and to exclude pages created by professional dentists, associated professionals, organizations, and academic researchers. The selected pages were then screened for page origin and Facebook categories. Results: Our initial keyword search yielded 517 pages; interestingly however, only 112 (22%) of pages had information relevant to oral ulcers, and 405 (78%) had irrelevant information, with ulcers being mentioned in relation to other parts of the human body. Excluding professional pages and pages without relevant posts resulted in 30 pages, of which 9 (30%) were categorized as “health/beauty” pages or as “product/service” pages, 3 (10%) were categorized as “medical & health” pages, and 5 (17%) were categorized as “community” pages. Majority of the pages (22/30, 73%) originated from 6 countries; most originated from the United States (7 pages), followed by India (6 pages). There was little information on oral ulcer prevention, long-term treatment, and complications. Conclusions: Facebook, in oral ulcer information dissemination, appears to be primarily used as an adjunct to business enterprises for marketing or for enhancing access to a product. Consequently, it was unsurprising that there was little information on oral ulcer prevention, long-term treatment, and complications. Although we made efforts to identify and select Facebook pages related to oral ulcers, we did not manually verify the authenticity or accuracy of the pages included in our analysis, potentially limiting the reliability of our findings or resulting in bias toward specific products or services. Although this work forms something of a pilot project, we plan to expand the project to encompass text mining for content analysis and include multiple social media platforms in the future.