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Examining TikTok's Potential for Community-Engaged Digital Knowledge Mobilization With Equity-Seeking Groups.

ABSTRACT: Social media is increasingly being leveraged by researchers to engage in public debates and rapidly disseminate research results to health care providers, health care users, policy makers, educators, and the general public. This paper contributes to the growing literature on the use of social media for digital knowledge mobilization, drawing particular attention to TikTok and its unique potential for collaborative knowledge mobilization with underserved communities who experience barriers to health care and health inequities (eg, equity-seeking groups). Setting the TikTok platform apart from other social media are the unique audiovisual video editing tools, together with an impactful algorithm, that make knowledge dissemination and exchange with large global audiences possible. As an example, we will discuss digital knowledge mobilization with trans and nonbinary (trans) communities, a population that experiences barriers to health care and is engaged in significant peer-to-peer health information sharing on the web. To demonstrate, analytics data from 13 selected TikTok videos on the topic of research on gender-affirming medicine (eg, hormonal therapy and surgeries) are presented to illustrate how knowledge is disseminated within the trans community via TikTok. Considerations for researchers planning to use TikTok for digital knowledge mobilization and other related community engagement with equity-seeking groups are also discussed. These include the limitations of TikTok analytics data for measuring knowledge mobilization, population-specific concerns related to community safety on social media, the spread of disinformation, barriers to internet access, and commercialization and intellectual property issues. This paper concludes that TikTok is an innovative social media platform that presents possibilities for achieving transformative, community-engaged knowledge mobilization among researchers, underserved health care users, and their health care providers, all of whom are necessary to achieve better health care and population health outcomes.

SUBMITTER: MacKinnon KR

PROVIDER: S-EPMC8704107 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundRacial/ethnic minorities have experienced disproportionate opioid-related overdose death rates in recent years. In this context, we examined inequities in community-based naloxone access across racial/ethnic groups in Massachusetts.MethodsWe used data from: the Massachusetts Department of Public Health on community-based overdose education and naloxone distribution (OEND) programs; the Massachusetts Office of the Chief Medical Examiner on opioid-related overdose deaths, and; the United States Census American Community Survey for regional demographic/socioeconomic details to estimate community populations by race/ethnicity and racial segregation between African American/Black and white residents. Race/ethnicity groups included in the analysis were African American/Black (non-Hispanic), Hispanic, white (non-Hispanic), and "other" (non-Hispanic). We evaluated racial/ethnic differences in naloxone distribution across regions in Massachusetts and neighborhoods in Boston descriptively and spatially, plotting the race/ethnicity-specific number of kits per opioid-related overdose death per jurisdiction. Lastly, we constructed generalized estimating equations models with a negative binomial distribution to compare the race/ethnicity-specific naloxone distribution rate by OEND programs.ResultsFrom 2016-2019, the median annual rate of naloxone kits received from OEND programs in Massachusetts per racial/ethnicity group ranged between 160 and 447 per 100,000. In a multivariable analysis, we found that the naloxone distribution rates for racial/ethnic minorities were lower than the rate for white residents. We also found naloxone was more likely to be distributed in racially segregated communities than non-segregated communities.ConclusionWe identified racial/ethnic inequities in naloxone receipt by individuals in Massachusetts. Additional resources focused on designing and implementing OEND programs for racial/ethnic minorities are warranted to ensure equitable access to naloxone.

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Project description:BackgroundThe digital divide refers to technological disparities based on demographic characteristics (eg, race and ethnicity). Lack of physical access to the internet inhibits online health information seeking (OHIS) and exacerbates health disparities. Research on the digital divide examines where and how people access the internet, whereas research on OHIS investigates how intersectional identities influence OHIS. We combine these perspectives to explicate how unique context-device access pairings operate differently across intersectional identities-particularly racial and ethnic groups-in the domain of OHIS.ObjectiveThis study aims to examine how different types of internet access relate to OHIS for different racial and ethnic groups. We investigate relationships among predisposing characteristics (ie, age, sex, education, and income), internet access (home computer, public computer, work computer, and mobile), health needs, and OHIS.MethodsAnalysis was conducted using data from the 2019 Health Information National Trends Survey. Our theoretical model of OHIS explicates the roles of internet access and health needs for racial and ethnic minority groups' OHIS. Participant responses were analyzed using structural equation modeling. Three separate group structural equation modeling models were specified based on Black, Latine, and White self-categorizations.ResultsOverall, predisposing characteristics (ie, age, sex, education, and income) were associated with internet access, health needs, and OHIS; internet access was associated with OHIS; and health needs were associated with OHIS. Home computer and mobile access were most consistently associated with OHIS. Several notable linkages between predisposing characteristics and internet access differed for Black and Latine individuals. Older racial and ethnic minorities tended to access the internet on home and public computers less frequently; home computer access was a stronger predictor of OHIS for White individuals, and mobile access was a stronger predictor of OHIS for non-White individuals.ConclusionsOur findings necessitate a deeper unpacking of how physical internet access, the foundational and multifaceted level of the digital divide, affects specific racial and ethnic groups and their OHIS. We not only find support for prior work on the digital divide but also surface new insights, including distinct impacts of context-device access pairings for OHIS and several relationships that differ between racial and ethnic groups. As such, we propose interventions with an intersectional approach to access to ameliorate the impact of the digital divide.

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Examining TikTok's Potential for Community-Engaged Digital Knowledge Mobilization With Equity-Seeking Groups.

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