Talking with clinicians about online cancer information: a survey of cancer patients and surrogate information seekers.

OBJECTIVES: To describe patients' and surrogate information seekers' experiences talking to clinicians about online cancer information. To assess the impact of clinicians telling patients or surrogate seekers not to search for information online. DESIGN: Cross-sectional survey. SAMPLE: A total of 282 participants, including 185 individuals with cancer and 97 surrogate seekers. METHODS: Individuals were recruited through a broad consent registry and completed a 20-min survey. FINDINGS: Cancer patients and surrogate seekers did not differ significantly in their experiences talking with clinicians about online cancer information. Nearly all patients and surrogate seekers who were told by a clinician not to go online for cancer information did so anyway. IMPLICATIONS: Interventions for improving cancer information seeking and communication with clinicians should target both patients and surrogate seekers. Clinicians should be educated about effective ways to communicate with patients and surrogate seekers about online cancer information.

Tele-Oncology Use During the COVID-19 Pandemic: Patient Experiences and Communication Behaviors with Clinicians.

Background: Tele-oncology became a widely used tool during the COVID-19 pandemic, but there was limited understanding of how patient-clinician communication occurred using the technology. Our goal was to identify how communication transpired during tele-oncology consultations compared with in-person appointments. Methods: A convergent parallel mixed-method design was utilized for the web-based survey, and follow-up interviews were conducted with cancer patients from March to December 2020. Participants were recruited from the University of Florida Health Cancer Center and two national cancer organizations. During the survey, participants rated their clinician's patient-centered communication behaviors. Open-ended survey responses and interview data were combined and analyzed thematically using the constant comparative method. Results: A total of 158 participants completed the survey, and 33 completed an interview. Ages ranged from 19 to 88 years (mean = 64.2; standard deviation = 13.0); 53.2% identified as female and 44.9% as male. The majority of respondents (76%) considered communication in tele-oncology equal to in-person visits. Preferences for tele-oncology included the ability to get information from the clinician, with 13.5% rating tele-oncology as better than in-person appointments. Tele-oncology was considered worse than in-person appointments for eye contact (n = 21, 12.4%) and virtual waiting room times (n = 50, 29.4%). The following qualitative themes corresponded with several quantitative variables: (1) commensurate to in-person appointments, (2) uncertainty with the digital platform, (3) lack of a personal connection, and (4) enhanced patient experience. Conclusion: Patient-centered communication behaviors were mostly viewed as equally prevalent during tele-oncology and in-person appointments. Addressing the challenges of tele-oncology is necessary to improve the patient experience.

Clinical and Information Services Needed by Telemental Health Providers.

Purpose: To identify clinical and informational services that telemental health (TMH) providers need to be more successful in their practice. Methods: In February-March 2021, 472 TMH providers completed a cross-sectional survey. Providers indicated the degree to which they need clinical (e.g., build therapeutic alliances) and informational (e.g., learn about regulatory changes) services. Independent samples t-tests were conducted to examine differences in needs according to when telemedicine was adopted. Results: TMH providers neutrally-to-somewhat agreed they could benefit from clinical (M = 3.24; standard deviation [SD] = 0.78) and informational (M = 3.66; SD = 0.82) services. Prepandemic TMH providers reported a greater need for services that help them cultivate relationships with patients, monitor health conditions, and to remain updated about reimbursement processes. Conclusion: All TMH providers could benefit from information about the latest trends and best practices in telemedicine. Prepandemic providers could benefit most from policy-related updates and patient-engagement services.

Disparities in Patient-Centered Communication via Telemedicine.

Purpose: This study investigated disparities in the uptake of telemedicine and the degree of patient-centeredness of telemedicine consultations among vulnerable patient populations. The focus includes rural adults and adults living with psychological distress and a high risk for chronic obstructive pulmonary disease (COPD). Materials and Methods: In August 2020, a random sample of 932 U.S. adults ≥35 years old with a history of smoking tobacco completed an online survey. Chi-squared analyses were conducted to compare the sociodemographics of participants who did and did not use telemedicine. A series of analysis of variance tests were conducted to examine whether satisfaction with patient-centeredness of telemedicine consultations (i.e., open-endedness, expressed empathy, provider's ability, 5-point Likert scale) differs by rural/urban residence, psychological distress, and COPD risk. Results: About 25% of the sample (n = 240) reported having used telemedicine. Telemedicine use was associated with younger age, Hispanic ethnicity, and moderate-to-high psychological distress, but not rurality. Participants reported high general satisfaction with the patient-centeredness of telemedicine consultations (M = 4.42 ± 0.73). However, high psychological distress and identifying as a current smoker were associated with less satisfaction across all domains. High COPD risk was uniquely associated with less satisfaction in how providers express empathy remotely. Conclusion: Individuals with moderate-to-high psychological distress and a high risk for COPD experience challenges accessing high-quality, patient-centered care via telemedicine. As telemedicine becomes ubiquitous in health care, innovative solutions are needed to overcome barriers that prevent providers from delivering patient-centered care and patients from feeling satisfied with their remote consultations.

Secure Messaging and COVID-19: A Content Analysis of Patient-Clinician Communication During the Pandemic.

Background: Coronavirus disease 2019 (COVID-19) immediately impacted patient-clinician communication, particularly in the oncology setting. Relatedly, secure messaging (SM) usage greatly increased, yet it is unknown what was discussed and whether the technology was utilized to disseminate information. Aims: This study aimed at identifying the most frequently discussed topics using SM as well as at understanding how the communication process transpired during the early stages of the pandemic. Materials and Methods: A mixed-methods design was utilized, consisting of a content analysis of more than 4,200 secure messages, aggregated into 1,454 patient-clinician discussions. Data were collected from February 2020 to May 2020. Discussions were from various oncology departments and included physicians, physician assistants, and nurses. Based on the identified categories, a thematic analysis was conducted to understand the nuances occurring within discussions. Results: Out of the 1,454 discussions, 26% (n = 373) related to COVID-19. Of the COVID-19 discussion, the most frequently coded category was "changes, adjustments, and re-arranging care" (65%, n = 241), followed by "risk for COVID-19" (24%, n = 90), "precautions inside the hospital" (18%, n = 66), and "precautions outside the hospital" (14%, n = 52). Natural language processing techniques were used to confirm the validity of the results. Thematic analysis revealed that patients were proactive in rescheduling appointments, expressed anxiety about being immunocompromised, and clinicians were uncertain about providing recommendations related to COVID-19. Conclusions: The COVID-19 outbreak revealed the need for responsive and effective public health communication. The SM can disseminate information from trusted sources, clinicians, but can be better utilized to deliver tailored information for specific patient populations.

Assessment of Lung Cancer Screening Eligibility on NCI-Designated Cancer Center Websites.

Online lung cancer screening assessments empower patients to learn about their risk for lung cancer and eligibility for screening. However, it is unknown whether these online assessments provide tailored recommendations that are consistent with national guidelines and include information to prepare patients for shared decision-making (SDM) consultations with their healthcare provider. In November 2019, we reviewed 71 NCI-Designated Cancer Center websites to identify US Preventive Services Task Force (USPSTF) guidelines for lung cancer screening eligibility and evidence-based features of shared decision-making (SDM). Only 11% of the websites included an online lung cancer screening assessment. Most assessments included tailored recommendations for screening eligibility based on USPSTF guidelines. Assessments designed to support SDM included both potential benefits and harms of undergoing lung cancer screening. Nearly all assessments directed adults to discuss the results with their healthcare provider and reinforced the importance of living a tobacco-free lifestyle. Online lung cancer screening assessments have the potential to put patients in control of knowledge about their lung cancer risk and screening eligibility. While nearly all assessments recommend patients to speak with their healthcare provider about their risk for lung cancer, patients may require more support to initiate and navigate SDM conversations with their providers.

Fatalistic Cancer Beliefs Across Generations and Geographic Classifications: Examining the Role of Health Information Seeking Challenges and Confidence.

Information seeking is an active health behavior that influences cancer fatalism; however, people commonly experience challenges in accessing high-quality and actionable health information that is personally relevant. This is especially common among older and rural adults who have a high cancer risk. The purpose of this study was to examine the theoretical assumption that enhancing perceived confidence to overcome health information seeking challenges will alleviate cancer fatalism. In 2017, 895 adults from a large southeastern medical university's cancer catchment area participated in a random digit dial survey. Participants were Millennials (18-35; 19%), Generation X (36-51; 23%), Baby Boomers (52-70; 40%), and Silent Generation (71-95; 16.9%) who had equal representation across metro (78.9%) and nonmetro (21.1%) counties. Younger generations (Millennials and Generation X) held stronger fatalistic cancer beliefs ("It seems like everything causes cancer," "When I think about cancer, I automatically think about death") than older generations. Most participants believed that precautionary efforts exist to reduce their chances of getting cancer, which was strongest among individuals residing in metro counties. In controlling for generation and geographic residence, individuals who experienced challenges in the process of accessing health information had stronger fatalistic beliefs about cancer prevention; however, this relationship was most pronounced among individuals with confidence to ultimately obtain information that they needed. This study contributes to evidence for health information equity in combatting fatalistic cancer beliefs. Findings have important implications for the optimized dissemination of culturally adapted cancer education and skill-based training to efficiently access and evaluate relevant cancer education.

Promoting Clinical Conversations about Lung Cancer Screening: Exploring the Role of Perceived Online Social Support.

The perceived availability of online social support may contribute to patient-provider conversations about lung cancer screening. This study examines how the perceived availability of instrumental and emotional online social support is associated with patient-provider communication about lung cancer screening among adults who meet U.S. Preventive Services Taskforce (USPSTF) eligibility criteria and live with a COPD diagnosis. In April 2018, 575 adults completed an online survey after being recruited from a large southeastern academic medical center's broad research registry and website listing. Nearly half of the participants were 55-to-80 years old (41%), a current or former smoker who had quit smoking within the past 15 years (42%), and reported a smoking prevalence of 30 pack years or more (PPY; 41%). Results demonstrate that having a COPD diagnosis, identifying as male, and being a current or former tobacco smoker resulted in greater odds of having a clinical conversation about lung cancer screening. Conversely, meeting the 30 PPY smoking and 55-to-80 age thresholds lowered the odds of having these conversations. A high degree of instrumental and emotional online social support was associated with a greater incidence of annual patient-provider conversations about screening. This combination of perceived online social support was especially useful for patients with COPD.

A Pilot Study Determining Comprehension and the Acceptability of a Cancer Research Study Website for Cancer Patients and Caregivers.

The purpose of this pilot study was to determine if a cancer research study website increased comprehension among patients and caregivers and if website evaluations differed across patient and caregiver groups. Participants (N = 200) were cancer patients and caregivers living in the USA. Comprehension was determined by the number of correct responses to a series of questions about key characteristics of cancer research studies that are frequently unknown or misinterpreted by patients and/or caregivers. Quantitative and qualitative analyses were conducted to determine participant evaluations across four domains: perceived website credibility, perceived website attractiveness, perceived information effectiveness, and perceived information clarity. Patients and caregivers perceived the website as highly credible and attractive and the information as both easy to understand and moderately effective in helping them make decisions about CCTs. Qualitative feedback underscores the importance of testimonials to website credibility. However, the range in the number of correct responses of certain items across participants coupled with discrepancies in comprehension between patients and caregivers suggests the need for stronger mechanisms evaluating knowledge outcomes.

Transactional eHealth Literacy: Developing and Testing a Multi-Dimensional Instrument.

Theoretically informed measures of eHealth literacy that consider the social affordances of eHealth are limited. This study describes the psychometric testing of a multi-dimensional instrument to measure functional, communicative, critical, and translational eHealth literacies, as informed by the Transactional Model of eHealth Literacy (TMeHL). A 3-phase rating scale construction process was conducted to engage eHealth experts and end-users. In Phase 1, Experts (N = 5) and end-users (N = 25) identified operational behaviors to measure each eHealth literacy dimension. End-users (N = 10) participated in think-aloud interviews to provide feedback on items reviewed and approved by experts. A field test was conducted with a random sample of patients recruited from a university-based research registry (N = 283). Factor analyses and Rasch procedures examined the internal structure of the scores produced by each scale. Pearson's r correlations provided evidence for external validity of scores. The instrument measures four reliable (ω = .92-.96) and correlated (r= .44-.64) factors: functional (4 items), communicative (5 items), critical (5 items), and translational (4 items). Researchers and providers can use this new instrument as a theory-driven instrument to measure four eHealth literacies that are fundamental to the social affordances of the eHealth experience.

Association Between Health Literacy, Electronic Health Literacy, Disease-Specific Knowledge, and Health-Related Quality of Life Among Adults With Chronic Obstructive Pulmonary Disease: Cross-Sectional Study.

BACKGROUND: Despite the relatively high prevalence of low health literacy among individuals living with chronic obstructive pulmonary disease (COPD), limited empirical attention has been paid to the cognitive and health literacy-related skills that can uniquely influence patients' health-related quality of life (HRQoL) outcomes. OBJECTIVE: The aim of this study was to examine how health literacy, electronic health (eHealth) literacy, and COPD knowledge are associated with both generic and lung-specific HRQoL in people living with COPD. METHODS: Adults from the COPD Foundation's National Research Registry (n=174) completed a cross-sectional Web-based survey that assessed sociodemographic characteristics, comorbidity status, COPD knowledge, health literacy, eHealth literacy, and generic/lung-specific HRQoL. Hierarchical linear regression models were tested to examine the roles of health literacy and eHealth literacy on generic (model 1) and lung-specific (model 2) HRQoL, after accounting for socioeconomic and comorbidity covariates. Spearman rank correlations examined associations between ordinal HRQoL items and statistically significant hierarchical predictor variables. RESULTS: After adjusting for confounding factors, health literacy, eHealth literacy, and COPD knowledge accounted for an additional 9% of variance in generic HRQoL (total adjusted R2=21%; F9,164=6.09, P<.001). Health literacy (b=.08, SE 0.02, 95% CI 0.04-0.12) was the only predictor positively associated with generic HRQoL (P<.001). Adding health literacy, eHealth literacy, and COPD knowledge as predictors explained an additional 7.40% of variance in lung-specific HRQoL (total adjusted R2=26.4%; F8,161=8.59, P<.001). Following adjustment for covariates, both health literacy (b=2.63, SE 0.84, 95% CI 0.96-4.29, P<.001) and eHealth literacy (b=1.41, SE 0.67, 95% CI 0.09-2.73, P<.001) were positively associated with lung-specific HRQoL. Health literacy was positively associated with most lung-specific HRQoL indicators (ie, cough frequency, chest tightness, activity limitation at home, confidence leaving home, sleep quality, and energy level), whereas eHealth literacy was positively associated with 5 of 8 (60%) lung-specific HRQoL indicators. Upon controlling for confounders, COPD knowledge (b=-.56, SE 0.29, 95% CI -1.22 to -0.004, P<.05) was inversely associated with lung-specific HRQoL. CONCLUSIONS: Health literacy, but not eHealth literacy, was positively associated with generic HRQoL. However, both health literacy and eHealth literacy were positively associated with lung-specific HRQoL, with higher COPD knowledge indicative of lower lung-specific HRQoL. These results confirm the importance of considering health and eHealth literacy levels when designing patient education programs for people living with COPD. Future research should explore the impact of delivering interventions aimed at improving eHealth and health literacy among patients with COPD, particularly when disease self-management goals are to enhance HRQoL.

Plain Language to Communicate Physical Activity Information: A Website Content Analysis.

Plain language techniques are health literacy universal precautions intended to enhance health care system navigation and health outcomes. Physical activity (PA) is a popular topic on the Internet, yet it is unknown if information is communicated in plain language. This study examined how plain language techniques are included in PA websites, and if the use of plain language techniques varies according to search procedures (keyword, search engine) and website host source (government, commercial, educational/organizational). Three keywords ("physical activity," "fitness," and "exercise") were independently entered into three search engines (Google, Bing, and Yahoo) to locate a nonprobability sample of websites ( N = 61). Fourteen plain language techniques were coded within each website to examine content formatting, clarity and conciseness, and multimedia use. Approximately half ( M = 6.59; SD = 1.68) of the plain language techniques were included in each website. Keyword physical activity resulted in websites with fewer clear and concise plain language techniques ( p < .05), whereas fitness resulted in websites with more clear and concise techniques ( p < .01). Plain language techniques did not vary by search engine or the website host source. Accessing PA information that is easy to understand and behaviorally oriented may remain a challenge for users. Transdisciplinary collaborations are needed to optimize plain language techniques while communicating online PA information.

Resources to Reduce Underage Drinking Risks and Associated Harms: Social Ecological Perspectives.

Underage college student alcohol consumption results in adverse consequences for students, colleges, and communities. Unfortunately, college health practitioners have invested time and effort implementing interventions that either fail to account for the complexity of this public health problem or are not evidence-based. Consequently, in September 2015, the National Institute on Alcohol Abuse and Alcoholism published CollegeAIM, which was developed to support higher education administrators and campus health/wellness professionals in selecting appropriate interventions for reducing harmful and underage drinking. CollegeAIM is a user-friendly, matrix-based tool that evaluates and synthesizes the peer-reviewed literature associated with nearly 60 campus and community interventions. This review uses the social ecological model to highlight individual- and environmental-level strategies evaluated in CollegeAIM matrices and is intended to be a tool in determining how best to implement resources to reduce college student alcohol use and associated harms. While CollegeAIM outlines strategies to be implemented among currently enrolled college students, it is important to note drinking behaviors for some students are established prior to entering college. Thus, interventions prior to enrolling in higher education are needed. As a resource for parents and for practitioners to use and share, the "Talk. They Hear You." mobile health (mHealth) app is also discussed and recommended.

Web-based Health Information Seeking and eHealth Literacy among Patients Living with Chronic Obstructive Pulmonary Disease (COPD).

Many people living with Chronic Obstructive Pulmonary Disease (COPD) have low general health literacy; however, there is little information available on these patients' eHealth literacy, or their ability to seek, find, understand, and appraise online health information and apply this knowledge to address or solve disease-related health concerns. A nationally representative sample of patients registered in the COPD Foundation's National Research Registry (N = 1,270) was invited to complete a web-based survey to assess socio-demographic (age, gender, marital status, education), health status (generic and lung-specific health-related quality of life), and socio-cognitive (social support, self-efficacy, COPD knowledge) predictors of eHealth literacy, measured using the 8-item eHealth literacy scale (eHEALS). Over 50% of the respondents (n = 176) were female (n = 89), with a mean age of 66.19 (SD = 9.47). Overall, participants reported moderate levels of eHealth literacy, with more than 70% feeling confident in their ability to find helpful health resources on the Internet. However, respondents were much less confident in their ability to distinguish between high- and low-quality sources of web-based health information. Very severe versus less severe COPD (ß = 4.15), lower lung-specific health-related quality of life (ß = -0.19), and greater COPD knowledge (ß = 0.62) were significantly associated with higher eHealth literacy. Higher COPD knowledge was also significantly associated with greater knowledge (ρ = 0.24, p = .001) and use (ρ = 0.24, p = .001) of web-based health resources. Findings emphasize the importance of integrating skill-building activities into comprehensive patient education programs that enable patients with severe cases of COPD to identify high-quality sources of web-based health information. Additional research is needed to understand how new social technologies can be used to help medically underserved COPD patients benefit from web-based self-management support resources.

Electronic Health Literacy Across the Lifespan: Measurement Invariance Study.

BACKGROUND: Electronic health (eHealth) information is ingrained in the healthcare experience to engage patients across the lifespan. Both eHealth accessibility and optimization are influenced by lifespan development, as older adults experience greater challenges accessing and using eHealth tools as compared to their younger counterparts. The eHealth Literacy Scale (eHEALS) is the most popular measure used to assess patient confidence locating, understanding, evaluating, and acting upon online health information. Currently, however, the factor structure of the eHEALS across discrete age groups is not well understood, which limits its usefulness as a measure of eHealth literacy across the lifespan. OBJECTIVE: The purpose of this study was to examine the structure of eHEALS scores and the degree of measurement invariance among US adults representing the following generations: Millennials (18-35-year-olds), Generation X (36-51-year-olds), Baby Boomers (52-70-year-olds), and the Silent Generation (71-84-year-olds). METHODS: Millennials (N=281, mean 26.64 years, SD 5.14), Generation X (N=164, mean 42.97 years, SD 5.01), and Baby Boomers/Silent Generation (N=384, mean 62.80 years, SD 6.66) members completed the eHEALS. The 3-factor (root mean square error of approximation, RMSEA=.06, comparative fit index, CFI=.99, Tucker-Lewis index, TLI=.98) and 4-factor (RMSEA=.06, CFI=.99, TLI=.98) models showed the best global fit, as compared to the 1- and 2-factor models. However, the 4-factor model did not have statistically significant factor loadings on the 4th factor, which led to the acceptance of the 3-factor eHEALS model. The 3-factor model included eHealth Information Awareness, Search, and Engagement. Pattern invariance for this 3-factor structure was supported with acceptable model fit (RMSEA=.07, Δχ2=P>.05, ΔCFI=0). Compared to Millennials and members of Generation X, those in the Baby Boomer and Silent Generations reported less confidence in their awareness of eHealth resources (P<.001), information seeking skills (P=.003), and ability to evaluate and act on health information found on the Internet (P<.001). RESULTS: Young (18-48-year olds, N=411) and old (49-84-year olds, N=419) adults completed the survey. A 3-factor model had the best fit (RMSEA=.06, CFI=.99, TLI=.98), as compared to the 1-factor, 2-factor, and 4-factor models. These 3-factors included eHealth Information Awareness (2 items), Information Seeking (2 items), and Information and Evaluation (4 items). Pattern invariance was supported with the acceptable model fit (RMSEA=.06, Δχ2=P>.05, ΔCFI=0). Compared with younger adults, older adults had less confidence in eHealth resource awareness (P<.001), information seeking skills (P<.01), and ability to evaluate and act upon online health information (P<.001). CONCLUSIONS: The eHEALS can be used to assess, monitor uniquely, and evaluate Internet users' awareness of eHealth resources, information seeking skills, and engagement abilities. Configural and pattern invariance was observed across all generation groups in the 3-factor eHEALS model. To meet gold the standards for factor interpretation (ie, 3 items or indicators per factor), future research is needed to create and assess additional eHEALS items. Future research is also necessary to identify and test items for a fourth factor, one that captures the social nature of eHealth.

Proposing a Transactional Model of eHealth Literacy: Concept Analysis.

BACKGROUND: Electronic health (eHealth) literacy was conceptualized in 2006 as the ability of internet users to locate, evaluate, and act upon web-based health information. Now, advances in eHealth technology have cultivated transactional opportunities for patients to access, share, and monitor health information. However, empirical evidence shows that existing models and measures of eHealth literacy have limited theoretical underpinnings that reflect the transactional capabilities of eHealth. This paper describes a conceptual model based on the Transactional Model of Communication (TMC), in which eHealth literacy is described as an intrapersonal skillset hypothesized as being dynamic; reciprocal; and shaped by social, relational, and cultural contexts. OBJECTIVE: The objective of our study was to systematically examine eHealth literacy definitions, models, and measures to propose a refined conceptual and operational definition based on the TMC. METHODS: Walker and Avant's concept analysis method was used to guide the systematic review of eHealth literacy definitions (n=10), rating scales (n=6), models (n=4), and peer-reviewed model applications (n=16). Subsequent cluster analyses showed salient themes across definitions. Dimensions, antecedents, and consequences reflected in models and measures were extracted and deductively analyzed based on codes consistent with the TMC. RESULTS: Systematic review evidence revealed incongruity between operational eHealth literacy included in definitions compared with literacies included within models and measures. Theoretical underpinnings of eHealth literacy also remain dismal. Despite the transactional capabilities of eHealth, the role of "communication" in eHealth literacy remains underdeveloped and does not account for physical and cognitive processing abilities necessary for multiway transactions. CONCLUSIONS: The Transactional Model of eHealth Literacy and a corresponding definition are proposed. In this novel model, eHealth literacy comprises a hierarchical intrapersonal skillset that mediates the reciprocal effect of contextual factors (ie, user oriented and task oriented) on patient engagement in health care. More specifically, the intrapersonal skillset counteracts the negative effect of "noise" (or impediments) produced by social and relational contexts. Cutting across health and technology literacies, the intrapersonal skillset of eHealth literacy is operationalized through four literacies that correspond with discrete operative skills: (1) functional (ie, locate and understand); (2) communicative (ie, exchange); (3) critical (ie, evaluate); and (4) translational (ie, apply).

COPD360social Online Community: A Social Media Review.

People living with chronic obstructive pulmonary disease (COPD) commonly report feelings of loneliness and social isolation due to lack of support from family, friends, and health care providers. COPD360social is an interactive and disease-specific online community and social network dedicated to connecting people living with COPD to evidence-based resources. Through free access to collaborative forums, members can explore, engage, and discuss an array of disease-related topics, such as symptom management. This social media review provides an overview of COPD360social, specifically its features that practitioners can leverage to facilitate patient-provider communication, knowledge translation, and community building. The potential of COPD360social for chronic disease self-management is maximized through community recognition programming and interactive friend-finding tools that encourage members to share their own stories through blogs and multimedia (e.g., images, videos). The platform also fosters collaborative knowledge dissemination and helping relationships among patients, family members, friends, and health care providers. Successful implementation of COPD360social has dramatically expanded patient education and self-management support resources for people affected by COPD. Practitioners should refer patients and their families to online social networks such as COPD360social to increase knowledge and awareness of evidence-based chronic disease management practices.

The Influence of eHealth Literacy on Perceived Trust in Online Health Communication Channels and Sources.

Disparities in online health information accessibility are partially due to varying levels of eHealth literacy and perceived trust. This study examined the relationship between eHealth literacy and perceived trust in online health communication channels and sources among diverse sociodemographic groups. A stratified sample of Black/African Americans (n = 402) and Caucasians (n = 409) completed a Web-based survey that measured eHealth literacy and perceived trustworthiness of online health communication channels and information sources. eHealth literacy positively predicted perceived trust in online health communication channels and sources, but disparities existed by sociodemographic factors. Segmenting audiences according to eHealth literacy level provides a detailed understanding of how perceived trust in discrete online health communication channels and information sources varies among diverse audiences. Black/African Americans with low eHealth literacy had high perceived trust in YouTube and Twitter, whereas Black/African Americans with high eHealth literacy had high perceived trust in online government and religious organizations. Older adults with low eHealth literacy had high perceived trust in Facebook but low perceived trust in online support groups. Researchers and practitioners should consider the sociodemographics and eHealth literacy level of an intended audience when tailoring information through trustworthy online health communication channels and information sources.

Reliability and Validity of the Telephone-Based eHealth Literacy Scale Among Older Adults: Cross-Sectional Survey.

BACKGROUND: Only a handful of studies have examined reliability and validity evidence of scores produced by the 8-item eHealth literacy Scale (eHEALS) among older adults. Older adults are generally more comfortable responding to survey items when asked by a real person rather than by completing self-administered paper-and-pencil or online questionnaires. However, no studies have explored the psychometrics of this scale when administered to older adults over the telephone. OBJECTIVE: The objective of our study was to examine the reliability and internal structure of eHEALS data collected from older adults aged 50 years or older responding to items over the telephone. METHODS: Respondents (N=283) completed eHEALS as part of a cross-sectional landline telephone survey. Exploratory structural equation modeling (E-SEM) analyses examined model fit of eHEALS scores with 1-, 2-, and 3-factor structures. Subsequent analyses based on the partial credit model explored the internal structure of eHEALS data. RESULTS: Compared with 1- and 2-factor models, the 3-factor eHEALS structure showed the best global E-SEM model fit indices (root mean square error of approximation=.07; comparative fit index=1.0; Tucker-Lewis index=1.0). Nonetheless, the 3 factors were highly correlated (r range .36 to .65). Item analyses revealed that eHEALS items 2 through 5 were overfit to a minor degree (mean square infit/outfit values <1.0; t statistics less than -2.0), but the internal structure of Likert scale response options functioned as expected. Overfitting eHEALS items (2-5) displayed a similar degree of information for respondents at similar points on the latent continuum. Test information curves suggested that eHEALS may capture more information about older adults at the higher end of the latent continuum (ie, those with high eHealth literacy) than at the lower end of the continuum (ie, those with low eHealth literacy). Item reliability (value=.92) and item separation (value=11.31) estimates indicated that eHEALS responses were reliable and stable. CONCLUSIONS: Results support administering eHEALS over the telephone when surveying older adults regarding their use of the Internet for health information. eHEALS scores best captured 3 factors (or subscales) to measure eHealth literacy in older adults; however, statistically significant correlations between these 3 factors suggest an overarching unidimensional structure with 3 underlying dimensions. As older adults continue to use the Internet more frequently to find and evaluate health information, it will be important to consider modifying the original eHEALS to adequately measure societal shifts in online health information seeking among aging populations.

Social Media Self-Efficacy of Health Education Specialists: Training and Organizational Development Implications.

A growing number of public health organizations are applying the power of social media (SM) for health promotion and behavior change. This cross-sectional study of health education specialists (n = 353) examined which demographic and occupational factors were associated with SM self-efficacy, and evaluated SM self-efficacy related to each of the Seven Areas of Responsibility. A series of one-way analyses of variance were conducted to determine whether differences in SM self-efficacy existed by sex, age, years of work experience, and SM access at work. A multiple linear regression examined the relationship between SM self-efficacy and SM experience when controlling for demographic and occupational factors. Statistically significant differences in SM self-efficacy existed by age, F(2, 289) = 6.54, p = .002. SM experience (ß = 1.43, t = 11.35, p < .001) was a statistically significant predictor of SM self-efficacy, even after controlling for age, sex, years of work experience, and level of SM access, F(5, 290) = 30.88, p < .001, R2 = .35. Results revealed statistically significant differences in mean SM self-efficacy scores by the Areas of Responsibility, F(4.69, 1425.46) = 22.46, p < .001. Professional health organizations should have policies in place and trainings that are conducive to learning and applying SM for health education research and practice.