scholarly journals Trust in Health Information Sources: Survey Analysis of Variation by Sociodemographic and Tobacco Use Status in Oklahoma (Preprint)

2016 ◽  
Author(s):  
Cati G Brown-Johnson ◽  
Lindsay M Boeckman ◽  
Ashley H White ◽  
Andrea D Burbank ◽  
Sjonna Paulson ◽  
...  

BACKGROUND Modern technology (ie, websites and social media) has significantly changed social mores in health information access and delivery. Although mass media campaigns for health intervention have proven effective and cost-effective in changing health behavior at a population scale, this is best studied in traditional media sources (ie, radio and television). Digital health interventions are options that use short message service/text messaging, social media, and internet technology. Although exposure to these products is becoming ubiquitous, electronic health information is novel, incompletely disseminated, and frequently inaccurate, which decreases public trust. Previous research has shown that audience trust in health care providers significantly moderates health outcomes, demographics significantly influence audience trust in electronic media, and preexisting health behaviors such as smoking status significantly moderate audience receptivity to traditional mass media. Therefore, modern health educators must assess audience trust in all sources, both media (traditional and digital) and interpersonal, to balance pros and cons before structuring multicomponent community health interventions. OBJECTIVE We aimed to explore current trust and moderators of trust in health information sources given recent changes in digital health information access and delivery to inform design of future health interventions in Oklahoma. METHODS We conducted phone surveys of a cross-sectional sample of 1001 Oklahoma adults (age 18-65 years) in spring 2015 to assess trust in seven media sources: traditional (television and radio), electronic (online and social media), and interpersonal (providers, insurers, and family/friends). We also gathered information on known moderators of trust (sociodemographics and tobacco use status). We modeled log odds of a participant rating a source as “trustworthy” (SAS PROC SURVEYLOGISTIC), with subanalysis for confounders (sociodemographics and tobacco use). RESULTS Oklahomans showed the highest trust in interpersonal sources: 81% (808/994) reported providers were trustworthy, 55% (550/999) for friends and family, and 48% (485/998) for health insurers. For media sources, 24% of participants (232/989) rated the internet as trustworthy, followed by 21% of participants for television (225/998), 18% for radio (199/988), and only 11% for social media (110/991). Despite this low self-reported trust in social media, 40% (406/991) of participants reported using social media for tobacco-related health information. Trust in health providers did not vary by subpopulation, but sociodemographic variables (gender, income, and education) and tobacco use status significantly moderated trust in other sources. Women were on the whole more trusting than men, trust in media decreased with income, and trust in friends and family decreased with education. CONCLUSIONS Health education interventions should incorporate digital media, particularly when targeting low-income populations. Utilizing health care providers in social media settings could leverage high-trust and low-cost features of providers and social media, respectively.

2001 ◽  
Vol 28 (6) ◽  
pp. 680-695 ◽  
Author(s):  
Ruth E. Davis ◽  
Daniele D. Flannery

Although health information is important to the prevention of much illness, the health information needs of Puerto Rican women remain unaddressed, according to the results of this phenomenological study. Through audiotaped interviews, 21women evaluated various sources of health information. Analysis of the data revealed which health information sources they considered trustworthy and nontrustworthy. Health care providers were found to be one of the least helpful sources, as personal interactions were often hurried and inattentive to women’s needs. Yet, the women were able to present a vivid portrait of a culturally sensitive community environment conducive to the presentation of health information. Implications include the importance of including cultural values in any health information setting, as well as the importance of building cultural bridges between health educators and Puerto Rican women. More research is needed to examine community efforts to enhance health information sources for this population of women.


2021 ◽  
pp. e1-e4
Author(s):  
Chelsea L. Ratcliff ◽  
Melinda Krakow ◽  
Alexandra Greenberg-Worisek ◽  
Bradford W. Hesse

Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698–3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one’s health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09–4.21; P value range < .001–.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention. (Am J Public Health. Published online ahead of print May 20, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306282 )


2021 ◽  
Author(s):  
Stephen Neely ◽  
Christina Eldredge ◽  
Ron Sanders

BACKGROUND In recent years, medical journals have emphasized the increasingly critical role that social media plays in the dissemination of public health information and disease prevention guidelines. However, platforms such as Facebook and Twitter continue to pose unique challenges for clinical health care providers and public health officials alike. In order to effectively communicate during public health emergencies, such as the COVID-19 pandemic, it is increasingly critical for health care providers and public health officials to understand how patients gather health-related information on the internet and adjudicate the merits of such information. OBJECTIVE With that goal in mind, we conducted a survey of 1003 US-based adults to better understand how health consumers have used social media to learn and stay informed about the COVID-19 pandemic, the extent to which they have relied on credible scientific information sources, and how they have gone about fact-checking pandemic-related information. METHODS A web-based survey was conducted with a sample that was purchased through an industry-leading market research provider. The results were reported with a 95% confidence level and a margin of error of 3. Participants included 1003 US-based adults (aged ≥18 years). Participants were selected via a stratified quota sampling approach to ensure that the sample was representative of the US population. Balanced quotas were determined (by region of the country) for gender, age, race, and ethnicity. RESULTS The results showed a heavy reliance on social media during the COVID-19 pandemic; more than three-quarters of respondents (762/1003, 76%) reported that they have relied on social media at least “a little,” and 59.2% (594/1003) of respondents indicated that they read information about COVID-19 on social media at least once per week. According to the findings, most social media users (638/1003, 63.6%) were unlikely to fact-check what they see on the internet with a health professional, despite the high levels of mistrust in the accuracy of COVID-19–related information on social media. We also found a greater likelihood of undergoing vaccination among those following more credible scientific sources on social media during the pandemic (<i>χ</i><sup>2</sup><sub>16</sub>=50.790; <i>φ</i>=0.258; <i>P</i><.001). CONCLUSIONS The findings suggest that health professionals will need to be both strategic and proactive when engaging with health consumers on social media if they hope to counteract the deleterious effects of misinformation and disinformation. Effective training, institutional support, and proactive collaboration can help health professionals adapt to the evolving patterns of health information seeking.


2021 ◽  
Author(s):  
Alp Eren Yuce ◽  
Ahmet Albayrak

BACKGROUND Previous studies on the eHealth suggested that chronic patients use the internet to obtain health information and to manage their health conditions. It has been revealed, particularly during the pandemic, that the internet has a significant potential to become a crucial health information source for chronic patients. However, there are both fluctuant and constant factors that influence the various eHealth literacy skills of chronic patients. It is critical to discover the current parameters influencing eHealth literacy skills in countries such as Turkey, which is in the process of adapting technology use, while eHealth literacy is gaining attention globally. OBJECTIVE This study aims to reveal the eHealth literacy skills of chronic patients and to investigate the relations and patterns between eHealth literacy skills and various factors such as demographics, search strategies and health information sources, and to explain their effects on eHealth literacy in Turkey in Izmir. METHODS The study, based on a quantitative research, including the administration of a questionnaire. A total of 604 chronic patients who applied to the five popular identified hospitals in Izmir, Turkey, responded to the questionnaire. The questionnaire, which includes information on demographics, social media platforms, internet usage frequency, eHealth literacy scale, search strategies scale, and health information sources scale, was conducted with the participants. CHAID analysis method was implemented to analyze the results and determine the relations between dependent and independent variables. RESULTS The type of the social media platform used by participants was an influencing factor on eHealth literacy scores. Finding health information across multiple platforms, such as Facebook, Twitter, and Pinterest, was found to be a positive predictor of eHealth literacy. (25.3%, 153 patients). Additionally, a positive correlation has been found between the use of the internet as a source of health information and eHealth literacy scores while using the strategy of “following the links that appear on websites” is positively correlated with eHealth literacy scores. CONCLUSIONS The study's findings indicate that using the internet and various social media platforms to obtain health information has a positive effect on eHealth literacy skills. Patients with greater interaction with the internet and its substructures, as well as a greater interest in utilizing the technological features of digital environments, were found to be more qualified eHealth literates. However, given the pollution of health information on the Internet, the information channel through which health information is obtained is also a critical issue in terms of health literacy. Online health knowledge should be scientifically promoted by medical institutions or governmental organizations in order to be widely and effectively disseminated, particularly in countries such as Turkey.


2020 ◽  
Author(s):  
Nariman Ammar ◽  
James E Bailey ◽  
Robert L Davis ◽  
Arash Shaban-Nejad

BACKGROUND Traditionally, health data management has been EMR-based and mostly handled by health care providers. Mechanisms are needed to give patients more control over their health conditions. Personal Health Libraries (PHLs) provide a single point of secure access to patients' digital health information that can help empower patients to make better-informed decisions about their health. OBJECTIVE This article reports our efforts on leveraging tools and methods from artificial intelligence and knowledge representation to construct a private, decentralized PHL that supports interoperability and, ultimately, true care integration. Also, it describes the technological infrastructures required to build Hybrid Recommendation Systems that query the PHL to deliver tailored push notification interventions focused on improving self-care behaviors in diabetic and cancer adults from underserved communities. METHODS For the construction and management of the PHL, we leverage several technological infrastructures, including the Social Linked Data (Solid) platform, which builds on the W3C protocol standard and vocabularies as well as the Linked Open Data Stack. Solid enriches the Linked Data stack with modern development tools including JavaScript-based frameworks (e.g., React), which makes both integration tasks using APIs and building Solid enabled applications a seamless experience. RESULTS To showcase the framework functionalities we present a prototype design and demonstrate the main features through two use case scenarios motivated both by requirements identified in the literature and by recommendations from Physicians from both Hematology and Preventive medicine fields at two children’s hospitals in Memphis, TN. CONCLUSIONS The proposed platform incorporates social determinants of health (SDoH) and ODLs in addition to digital health information to provide insights for informing both therapeutic and preventive interventions in chronic disease management. The PHL helps patients and their caregivers take a central role in making decisions regarding their health and equips health care providers with informatics tools to support the collection and interpretation of the collected knowledge


2016 ◽  
Author(s):  
Cati G Brown-Johnson ◽  
Lindsay M Boeckman ◽  
Ashley H White ◽  
Andrea D Burbank ◽  
Sjonna Paulson ◽  
...  

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chukwuma Ukoha ◽  
Andrew Stranieri

Purpose This paper aims to use the writings of Mikhail Bakhtin to reveal new insights into the role and impact of social media in health-care settings. Design/methodology/approach With the help of Bakhtin’s constructs of dialogism, polyphony, heteroglossia and carnival, the power and influences of the social media phenomenon in health-care settings, are explored. Findings It is apparent from the in-depth analysis conducted that there is a delicate balance between the need to increase dialogue and the need to safeguard public health, in the use of social media for health-related communication. Bakhtin‘s constructs elucidate this delicate balance and highlight the need for health-care providers that use social media to find the right balance between these competing communicational priorities. Originality/value This paper advances a nascent theoretical approach to social media research. By applying Bakhtinian ideas to consumer health informatics, this paper has the potential to open a new approach to theorizing the role of social software in health-care settings. Stakeholders in digital health will find this paper useful, as it opens up dialogue to further discuss the role of social media in health care.


2021 ◽  
Author(s):  
Camella J. Rising ◽  
Anna Gaysynsky ◽  
Kelly D. Blake ◽  
Roxanne E. Jensen ◽  
April Oh

BACKGROUND Sharing data from wearable health and activity trackers with others (e.g., health care providers, family, friends) may improve health and behavioral outcomes of wearable users by generating social support and supporting health self-management competency. Investigating individual factors that influence US adults’ willingness to share wearable data with different types of individuals may provide insights about population subgroups most or least likely to benefit from wearable interventions. Specifically, identifying digital health behaviors potentially associated with willingness to share wearable data is needed given that use and engagement with various technologies may broadly influence online health information-sharing behaviors. OBJECTIVE To identify sociodemographic, health, and digital health behavior correlates of US adults’ willingness to share wearable data with health care providers and with family or friends. METHODS Data for the analytic sample (N=1300) were obtained from the National Cancer Institute’s 2019 Health Information National Trends Survey. Digital health behavior measures included frequency of wearable use, use of smartphones or tablets to help communicate with providers, use of social networking sites to share health information, and participating in an online health community. Multivariable logistic regression analysis of weighted data examined associations between digital health behaviors and willingness to share wearable data, controlling for sociodemographics and health-related characteristics. RESULTS A majority of US adults were willing to share wearable data with providers (81.86%) and with family or friends (69.51%). Those who reported higher health self-efficacy (odds ratio [OR] 1.97, 95% CI 1.11, 3.51), higher level of trust in providers as a source of health information (OR 1.98, 95% CI 1.12, 3.49), and higher level of physical activity (OR 2.00, 95% CI 1.21, 3.31) had greater odds of reported willingness to share data with providers. Additionally, those with higher frequency of wearable use (OR 2.15, 95% CI 1.35, 3.43) and reported use of smartphones or tablets to help communicate with providers (OR 1.99, 95% CI 1.09, 3.63) had greater odds of reported willingness to share with providers. Only higher level of physical activity was associated with greater odds of reported willingness to share wearable data with family or friends (OR 1.70, 95% CI 1.02, 2.84). CONCLUSIONS Findings of this study suggest that, among US adult wearable users, behavior-related factors, rather than sociodemographic characteristics, are key drivers of willingness to share health information from wearables with others. Moreover, behavioral correlates of willingness to share wearable data are unique to the type of recipient (i.e., providers vs. family or friends). Future studies could use these findings to inform development of interventions that aim to improve use of patient-generated data from wearable devices in health care settings, in particular.


2018 ◽  
Vol 4 (1) ◽  
pp. e8 ◽  
Author(s):  
Cati G Brown-Johnson ◽  
Lindsay M Boeckman ◽  
Ashley H White ◽  
Andrea D Burbank ◽  
Sjonna Paulson ◽  
...  

2021 ◽  
Vol 7 ◽  
pp. 233372142199719
Author(s):  
Arlesia Mathis ◽  
Ronica N. Rooks ◽  
Jacqueline Wiltshire

Objective: To examine geographic variations in health information use among older adults in the United States. Methods: We compared 15,531 adults (age 45 and older) across four U.S. regions. Descriptive analyses were conducted to assess health information seeking and use by year. The relationship between health information seeking or use and regional changes were assessed using binomial logistic regression. Binomial models were adjusted by socio-demographics, chronic conditions, and health information sources. Magnitude and direction of relationships were assessed using adjusted odds ratios (aORs), 95% confidence intervals (CIs), and p-values. Results: Only the Northeast region showed increases in health information seeking (3.8%) and use (4.5%) among older adults. However adjusted models showed those living in the Northeast were 28% less likely to use health information to maintain their health and 32% less likely to use health information to treat illness. Conclusion: As a result of the current pandemic, older adults are facing a growing burden from health care expenses. Inability to gather and use health information for personal safety or self care can potentially increase inequalities in health, especially for older adults without personal health care providers.


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