Trends and Characteristics of #HIVPrevention Tweets Posted Between 2014 and 2019: Retrospective Infodemiology Study.

BACKGROUND: Twitter is becoming an increasingly important avenue for people to seek information about HIV prevention. Tweets about HIV prevention may reflect or influence current norms about the acceptability of different HIV prevention methods. Therefore, it may be useful to empirically investigate trends in the level of attention paid to different HIV prevention topics on Twitter over time. OBJECTIVE: The primary objective of this study was to investigate temporal trends in the frequency of tweets about different HIV prevention topics on Twitter between 2014 and 2019. METHODS: We used the Twitter application programming interface to obtain English-language tweets employing #HIVPrevention between January 1, 2014, and December 31, 2019 (n=69,197, globally). Using iterative qualitative content analysis on samples of tweets, we developed a keyword list to categorize the tweets into 10 prevention topics (eg, condom use, preexposure prophylaxis [PrEP]) and compared the frequency of tweets mentioning each topic over time. We assessed the overall change in the proportions of #HIVPrevention tweets mentioning each prevention topic in 2019 as compared with 2014 using chi-square and Fisher exact tests. We also conducted descriptive analyses to identify the accounts posting the most original tweets, the accounts retweeted most frequently, the most frequently used word pairings, and the spatial distribution of tweets in the United States compared with the number of state-level HIV cases. RESULTS: PrEP (13,895 tweets; 20.08% of all included tweets) and HIV testing (7688, 11.11%) were the most frequently mentioned topics, whereas condom use (2941, 4.25%) and postexposure prophylaxis (PEP; 823, 1.19%) were mentioned relatively less frequently. The proportions of tweets mentioning PrEP (327/2251, 14.53%, in 2014, 5067/12,971, 39.1%, in 2019; P≤.001), HIV testing (208/2251, 9.24%, in 2014, 2193/12,971, 16.91% in 2019; P≤.001), and PEP (25/2251, 1.11%, in 2014, 342/12,971, 2.64%, in 2019; P≤.001) were higher in 2019 compared with 2014, whereas the proportions of tweets mentioning abstinence, condom use, circumcision, harm reduction, and gender inequity were lower in 2019 compared with 2014. The top retweeted accounts were mostly UN-affiliated entities; celebrities and HIV advocates were also represented. Geotagged #HIVPrevention tweets in the United States between 2014 and 2019 (n=514) were positively correlated with the number of state-level HIV cases in 2019 (r=0.81, P≤.01). CONCLUSIONS: Twitter may be a useful source for identifying HIV prevention trends. During our evaluation period (2014-2019), the most frequently mentioned prevention topics were PrEP and HIV testing in tweets using #HIVPrevention. Strategic responses to these tweets that provide information about where to get tested or how to obtain PrEP may be potential approaches to reduce HIV incidence.

The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach.

BACKGROUND: People with disabilities face barriers to in-person physical activity (PA), including a lack of adaptive equipment and knowledgeable instructors. Given this and the increased need for digital resources due to widespread COVID-19 lockdowns, it is necessary to assess the accessibility of digital fitness resources for people with disabilities. To investigate whether YouTube fitness content creators have made videos accessible to people with disabilities would be informative about access to PA during COVID-19 and could also provide insight into the feasibility of individuals who are disabled relying on YouTube for PA in a post-COVID-19 world. OBJECTIVE: This study aims to ascertain if disability-friendly PA videos on YouTube are accessible through searching general fitness terms and whether a change in the availability of accessible fitness resources for people with disabilities occurred on YouTube between before and during the COVID-19 pandemic on "Hospital/Medical Institutions," "Individual(s)," and "Other(s)" channels. Secondary aims are to investigate if different categories of YouTube channels produce more accessible fitness content and highlight any disparities in disability-friendly PA content on YouTube. METHODS: A cross-sectional text analysis of exercise-related YouTube videos was conducted. The authors used Python (version 3.0) to access the YouTube database via its data application programming interface. Terms pertaining to PA that were searched on YouTube were at-home exercise, exercise at home, exercise no equipment, home exercise, home-based exercise, no equipment workout, and workout no equipment. Various elements (eg, view count and content generation) of the videos published between January 1 and June 30, 2019 (n=700), were compared to the elements of videos published between January 1 and June 30, 2020 (n=700). To capture a broad idea of disability-friendly videos on YouTube, videos were labeled "accessible" if they were found in the first 100 video results and if their title, description, or tags contained the following terms: para, paralympic, adaptive, adapted, disabled, disability, differently abled, disability-friendly, wheelchair accessible, and inclusive. Each video and channel were categorized as "Hospitals/Medical Institutions," "Individuals," or "Other(s)." RESULTS: The analysis revealed a statistically significant increase in viewership of fitness content on YouTube (P=.001) and in fitness content generated by Hospitals/Medical Institutions (P=.004). Accessible terms applicable to people with disabilities had minimal appearances in 2019 (21 videos) and 2020 (19 videos). None of the top viewed fitness videos that populated on YouTube from 2019 or 2020 were accessible. CONCLUSIONS: The proportion of accessible disability-friendly videos remains diminutive relative to the prevalence of disability in the general population, revealing that disability-friendly videos are seldom findable on YouTube. Thus, the need for disability-friendly fitness content to be easily searched and found remains urgent if access to digital fitness resources is to improve.

A Cross-Sectional Survey Analyzing Community Perception and Utilization of Village Health Workers Stratified by the Urban-Rural Divide Within the Kingdom of Bhutan.

Village health workers (VHWs) serve as an integral health resource for many resource limited nations, including the Kingdom of Bhutan. As such, we aimed to identify community perceptions as well as utilization rates and types with relation to VHWs based on the urban-rural divide. Our team conducted a randomized survey of 429 community members in 14 villages within the Western region of Bhutan. Our findings indicate VHWs in rural communities are requested for their services twice as much as their urban counterparts. More specifically, urban VHWs are utilized 2.5 times more for general community services, while rural VHWs are utilized more for accessing medications. Additionally, our research indicates a need to increase training of VHWs as well as overall program promotion relating to the specific services that VHWs can provide. These investigations indicate the importance of differentially allocating resources, programming, and training based on the urban-rural divide.

Brain Tumor Discussions on Twitter (#BTSM): Social Network Analysis.

BACKGROUND: The Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for patients with brain tumor. OBJECTIVE: To understand #BTSM's role as a patient support system, we describe user descriptors, growth, interaction, and content sharing. METHODS: We analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users. RESULTS: From 2012 to 2018, 59,764 unique users participated in #BTSM, amassing 298,904 tweets. The yearly volume of #BTSM tweets increased by 264.57% from 16,394 in 2012 to 43,373 in 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.13%), while advocacy groups, caregivers, doctors, and researchers generated 7.01%, 4.63%, 3.86%, and 3.37%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users. CONCLUSIONS: From its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information on Twitter for patients, advocates, patient organizations as well as health care professionals and researchers.

Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis.

OBJECTIVES: Using Twitter, we aim to (1) define and quantify the prevalence and evolution of facets of social distancing during the COVID-19 pandemic in the US in a spatiotemporal context and (2) examine amplified tweets among social distancing facets. MATERIALS AND METHODS: We analyzed English and US-based tweets containing "coronavirus" between January 23-March 24, 2020 using the Twitter API. Tweets containing keywords were grouped into six social distancing facets: implementation, purpose, social disruption, adaptation, positive emotions, and negative emotions. RESULTS: A total of 259,529 unique tweets were included in the analyses. Social distancing tweets became more prevalent from late January to March but were not geographically uniform. Early facets of social distancing appeared in Los Angeles, San Francisco, and Seattle: the first cities impacted by the COVID-19 outbreak. Tweets related to the "implementation" and "negative emotions" facets largely dominated in combination with topics of "social disruption" and "adaptation", albeit to lesser degree. Social disruptiveness tweets were most retweeted, and implementation tweets were most favorited. DISCUSSION: Social distancing can be defined by facets that respond to and represent certain events in a pandemic, including travel restrictions and rising case counts. For example, Miami had a low volume of social distancing tweets but grew in March corresponding with the rise of COVID-19 cases. CONCLUSION: The evolution of social distancing facets on Twitter reflects actual events and may signal potential disease hotspots. Our facets can also be used to understand public discourse on social distancing which may inform future public health measures.

Evaluating the effect of village health workers on hospital admission rates and their economic impact in the Kingdom of Bhutan.

BACKGROUND: Village health workers (VHWs) in Bhutan play an all-encompassing role in supporting the health of their communities. Recent reports from the Bhutan Ministry of Health have indicated a sharp reduction in the number of working VHWs. As such, our work attempts to estimate the cost saved and the number of averted hospital admissions onto the Bhutanese healthcare system and the individuals who are served by these health workers. METHODS: We utilized a dataset from the Bhutan Ministry of Health which encompassed over 95% of all reported disease cases within the nation. We examined the impact that VHWs have on hospital admission rates for eight diseases of interest by using multiple multivariate logistic regression models. Our model allowed us to estimate the potential disease cases averted when the average number of VHWs per health center is increased by one unit. Lastly, we utilized the 2011 "A Costing of Healthcare Services in Bhutan" to estimate the cost saved attributed to VHWs. RESULTS: An average one unit increase of VHWs per health center is associated with a decrease in hospital and clinic admission for diarrhea, dysentery, wound care, depression/anxiety, dental caries, and skin infection, while a non-significant increase was observed for scabies and conjunctivitis. These findings translate to 4604 outpatient visits averted, with $28,637 saved, and 78 inpatient visits averted, with $10,711 saved. These values sum to a total of 4682 yearly averted admissions at health centers, with a total cost savings of $39,348 yearly. Additionally, we estimated a yearly savings of $13,348 in transportation costs and a total of $20,960 saved in wages to the community members that VHWs serve. CONCLUSIONS: VHWs serve as a source of cost-savings for the Kingdom of Bhutan and also act as an economic buffer for more vulnerable communities. The cost-savings associated with these health workers is likely to become more pertinent as the nation begins to develop and healthcare costs increase. It is imperative that proper action be taken to retain these health workers as every VHW who leaves the program increases healthcare costs onto the Bhutanese government.

Social media partnerships with patient organizations for neuro-oncology patient recruitment.

BACKGROUND: In neuro-oncology, traditional methods of enrolling the large numbers of participants required for studies of disease etiology and treatment response are costly, labor intensive, and may not include patients in regions without tumor registries. METHODS: In the Yale Acoustic Neuroma (AN) Study and International Low-Grade Glioma (LGG) Registry, we partnered with several brain tumor patient organizations to develop social media enrollment campaigns and use web-based data collection resources at the Yale University School of Public Health to test alternative methods to enroll neuro-oncology patients for epidemiologic study. RESULTS: In the AN study, we enrolled 1024 patients over 2 years. Of these, 865 patients completed the online questionnaire, 697 returned written consent, 583 sent a pathology report, and 569 returned a saliva specimen. The completed 569 participants did not differ by age or treatment from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) data but were more likely to be female (67% vs 52%) and white (94.8% vs 84%). Patients learned of the study through the Acoustic Neuroma Association (ANA) website (61.3%), ANA support group members (18%), and social media (primarily Facebook). Costs per patient enrolled were approximately 10% to 20% that of traditional registry-based enrollment methods. Results for the LGG study were similar. CONCLUSIONS: Although additional effort will be required to ensure a diverse participant population, partnership with established patient organizations along with use of web-based technology and social media allowed for the successful enrollment of neuro-oncology patients at a fraction of the cost relative to traditional methods.