eHealth literacy and web-based patient portal usage among kidney and liver transplant recipients

Factors Influencing Telehealth Satisfaction Among Liver and Kidney Transplant Recipients

Solid organ transplant (SOT) recipients now have widespread access to telehealth, but the factors influencing their satisfaction still need to be understood. This cross-sectional study explored potential contributors to telehealth satisfaction among SOT recipients, including liver, kidney, and simultaneous liver-kidney recipients. A total of 136 adult SOT recipients completed an online survey. The survey assessed telehealth satisfaction, previous telehealth experiences, including confidence levels and the need for assistance from others, electronic health literacy (eHealth literacy), perceived physical and mental health status, and cognitive function, along with demographic and clinical characteristics. The multivariate regression backward selection method was used to identify potential factors contributing to telehealth satisfaction. Participants had a mean age of 60.1 years (standard deviation [SD] = 10.5) and were, on average, 92 months post-transplant (SD = 99.9). The mean telehealth satisfaction score was 5.3 out of 7 (SD = 1.2), indicating positive satisfaction with telehealth. However, lower telehealth satisfaction was associated with poor confidence in communicating with providers via telehealth, lower eHealth literacy, better perceived cognitive function, and a prolonged time since SOT (adjusted R2 = 0.49). SOT recipients who perceive vulnerability in online technology, report better perceived cognitive function, and are farther out from their SOT may exhibit lower satisfaction with telehealth. When considering telehealth for transplant care, clinicians should prioritize addressing the specific concerns and challenges of SOT recipients who may perceive telehealth unfavorably.

eHealth literacy in the general population: a cross-sectional study in China

BACKGROUND

eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited. Chronic lung disease (CLD) has brought a large burden in LMIC, making it a relevant example for studying eHL. This study aims to explore eHL and its associated factors within the general population of China, encompassing sociodemographic characteristics, CLD knowledge, digital access, eHealth use and attitudes towards eHealth.

METHOD

Data were collected from November 2023 to January 2024 via online and hard-copy questionnaires among the general population in China. Descriptive analyses were performed to explore eHL, CLD knowledge, digital access, and attitudes towards eHealth at different sociodemographic levels. Univariable and multivariable regression analyses were performed to identify factors associated with eHL.

RESULTS

439 valid questionnaires were collected. Participants demonstrated a mean eHL of 24.7 ± 8.2 and CLD knowledge of 5.9 ± 3.7, obtained a score of 6.9 ± 1.8 in attitudes towards eHealth. A notable percentage of participants (45/439, 10.3%) reported no digital access, especially those aged 66+, the unemployed, retired, those with a primary school or below degree and earning ≤ 1500 RMB monthly. Multivariable hierarchical regression analysis showed higher eHL was uniquely associated with younger age (b=-0.10, P < .001), higher educational level (b = 2.02, P < .001), higher income (b = 1.10, P < .001), having digital access (b = 6.35, P < .001), more frequent eHealth use (b = 1.14, P < .001), and more positive attitudes towards eHealth (b = 0.47, P = .003).

CONCLUSION

Our sample from the general population in China had a relatively low eHL and CLD knowledge level, but held a positive attitudes towards eHealth. A digital divide was noticed between the elderly, low socioeconomic population and other groups. Younger age, higher educational and income level, having digital access, more frequent eHealth use and more positive attitudes towards eHealth were significantly associated with higher eHL. Efforts at both individual and systematic levels should be made to improve eHL, and promote CLD knowledge and digital access, especially in disadvantaged populations. Moreover, there is a pressing need to develop and refine national and international standards for eHL.

Assessment of electronic health literacy and its association with self-management among gout patients: A cross-sectional study

Objectives

This study aimed to assess electronic health (eHealth) literacy and self-management ability among gout patients in China and analyze their correlation.

Patients and methods

A cross-sectional study was conducted on 168 male gout patients (mean age: 44.5±13.8 years, range, 22 to 76 years) using a gout patient self-management assessment scale and the Chinese version of eHealth Literacy Scale between August 2020 and February 2021. The correlation between eHealth literacy and gout self-management was examined. Multivariate regression analysis was conducted to identify the predictors of gout patients' self-management ability.

Results

The scores of eHealth literacy and self-management were 28.56±1.72 and 3.59±0.78, respectively, which were both in the medium level, with the lowest score in the lifestyle management dimension. Pearson's correlation analysis showed that eHealth literacy was significantly and positively associated with the total score of gout self-management and its four dimensions. Literacy in eHealth (β=0.399, p<0.001, 95% confidence interval [CI]: 0.023-0.069), living with family members (β=0.336, p=0.001, 95% CI: 0.313-1.234), living in an urban area (β=0.312, p=0.005, 95% CI: 0.191- 1.022), and having college or a higher level of education (β=0.268, p=0.016, 95% CI: 0.032-0.302) were the significant predictors of gout patients' self-management ability, explained 30.6% of the total variance.

Conclusion

Literacy in eHealth was the most significant predictor of gout self-management ability. Gout patients had the lowest score in the perceived ability of searching and applying online health-related information, indicating that both the quantity and quality of gout-specific information needs to be enlarged in electronic resources. Healthcare providers could design and implement eHealth literacy interventions to strengthen patients' gout self-management ability.

Digital Health Literacy and Its Association With Sociodemographic Characteristics, Health Resource Use, and Health Outcomes: Rapid Review

BACKGROUND

Digital health literacy has emerged as a critical skill set to navigate the digital age.

OBJECTIVE

This review sought to broadly summarize the literature on associations between digital health literacy and (1) sociodemographic characteristics, (2) health resource use, and (3) health outcomes in the general population, patient groups, or parent or caregiver groups.

METHODS

A rapid review of literature published between January 2016 and May 2022 was conducted through a search of 4 web-based databases. Articles were included on the basis of the following keywords: "measured digital health literacy," "digital literacy," "ehealth literacy," "e-health literacy," "electronic health literacy," or "internet health literacy" in adult populations; participants were from countries where English was the primary language; studies had to be cross-sectional, longitudinal, prospective, or retrospective, and published in English.

RESULTS

Thirty-six articles met the inclusion criteria. Evidence on the associations between digital health literacy and sociodemographic characteristics varied (27/36, 75% included studies), with higher education (16/21, 76.2% studies that examined the association) and younger age (12/21, 57.1% studies) tending to predict higher digital health literacy; however, other studies found no associations. No differences between genders were found across the majority of studies. Evidence across ethnic groups was too limited to draw conclusions; some studies showed that those from racial and ethnic minority groups had higher digital health literacy than White individuals, while other studies showed no associations. Higher digital health literacy was associated with digital health resource use in the majority of studies (20/36, 55.6%) that examined this relationship. In addition, higher digital health literacy was also associated with health outcomes across 3 areas (psychosocial outcomes; chronic disease and health management behaviors; and physical outcomes) across 17 included studies (17/36, 47.2%) that explored these relationships. However, not all studies on the relationship among digital health literacy and health resource use and health outcomes were in the expected direction.

CONCLUSIONS

The review presents mixed results regarding the relationship between digital health literacy and sociodemographic characteristics, although studies broadly found that increased digital health literacy was positively associated with improved health outcomes and behaviors. Further investigations of digital health literacy on chronic disease outcomes are needed, particularly across diverse groups. Empowering individuals with the skills to critically access and appraise reliable health information on digital platforms and devices is critical, given emerging evidence that suggests that those with low digital health literacy seek health information from unreliable sources. Identifying cost-effective strategies to rapidly assess and enhance digital health literacy capacities across community settings thus warrants continued investigation.

The SElf-Care After REnal Transplantation Study: A Retrospective Evaluation of a Home-Monitoring Program Implemented as Standard Care

After transplantation self-management is essential for graft survival and optimal quality of life. To address the need for home-based support in self-management, we implemented the "SelfCare after Renal Transplantation" (SeCReT) box, containing home-monitoring equipment combined with a smartphone application that was linked to the electronic patient records. This study investigated the uptake and continuation, protocol adherence, and subjective evaluation of this home-monitoring program. All "de novo" kidney recipients who received the SeCReT-box in the study period (Aug 2021-Dec 2022) were eligible for inclusion. Protocol adherence was defined as ≥75%. Subjective evaluation was assessed with a 5-item questionnaire. Of the 297 recipients transplanted, 178 participants (60%) were included in the analysis. Protocol adherence was 83%, 73%, 66%, and 57% respectively at 5, 10, 20, and 40 weeks of the protocol. With regard to continuation, 135 participants were still in the program at the end of the study period (75% retention rate). Regarding subjective evaluations, 82% evaluated the program positively, and 52% reported lower care needs due to home-monitoring. Results are positive among those who entered and continued the program. Qualitative research is needed on barriers to entering the program and facilitators of use in order to promote optimal implementation.

Self-Management Using eHealth Technologies for Liver Transplant Recipients: Scoping Review

BACKGROUND

Liver transplantation has become increasingly common as a last-resort treatment for end-stage liver diseases and liver cancer, with continually improving success rates and long-term survival rates. Nevertheless, liver transplant recipients face lifelong challenges in self-management, including immunosuppressant therapy, lifestyle adjustments, and navigating complex health care systems. eHealth technologies hold the potential to aid and optimize self-management outcomes, but their adoption has been slow in this population due to the complexity of post-liver transplant management.

OBJECTIVE

This study aims to examine the use of eHealth technologies in supporting self-management for liver transplant recipients and identify their benefits and challenges to suggest areas for further research.

METHODS

Following the Arksey and O'Malley methodology for scoping reviews, we conducted a systematic search of 5 electronic databases: PubMed, CINAHL, Embase, PsycINFO, and Web of Science. We included studies that (1) examined or implemented eHealth-based self-management, (2) included liver transplant recipients aged ≥18 years, and (3) were published in a peer-reviewed journal. We excluded studies that (1) were case reports, conference abstracts, editorials, or letters; (2) did not focus on the posttransplantation phase; (3) did not focus on self-management; and (4) did not incorporate the concept of eHealth or used technology solely for data collection. The quality of the selected eHealth interventions was evaluated using (1) the Template for Intervention Description and Replication guidelines and checklist and (2) the 5 core self-management skills identified by Lorig and Holman.

RESULTS

Of 1461 articles, 15 (1.03%) studies were included in the final analysis. Our findings indicate that eHealth-based self-management strategies for adult liver transplant recipients primarily address lifestyle management, medication adherence, and remote monitoring, highlighting a notable gap in alcohol relapse interventions. The studies used diverse technologies, including mobile apps, videoconferencing, and telehealth platforms, but showed limited integration of decision-making or resource use skills essential for comprehensive self-management. The reviewed studies highlighted the potential of eHealth in enhancing individualized health care, but only a few included collaborative features such as 2-way communication or tailored goal setting. While adherence and feasibility were generally high in many interventions, their effectiveness varied due to diverse methodologies and outcome measures.

CONCLUSIONS

This scoping review maps the current literature on eHealth-based self-management support for liver transplant recipients, assessing its potential and challenges. Future studies should focus on developing predictive models and personalized eHealth interventions rooted in patient-generated data, incorporating digital human-to-human interactions to effectively address the complex needs of liver transplant recipients. This review emphasizes the need for future eHealth self-management research to address the digital divide, especially with the aging liver transplant recipient population, and ensure more inclusive studies across diverse ethnicities and regions.

Telemedicine for Kidney Transplant Recipients: Current State, Advantages, and Barriers

Telemedicine is defined as the use of electronic information and communication technologies to provide and support healthcare at a distance. In kidney transplantation, telemedicine is limited but is expected to grow markedly in the coming y. Current experience shows that it is possible to provide transplant care at a distance, with benefits for patients like reduced travel time and costs, better adherence to medication and appointment visits, more self-sufficiency, and more reliable blood pressure values. However, multiple barriers in different areas need to be overcome for successful implementation, such as recipients' preferences, willingness, skills, and digital literacy. Moreover, in many countries, limited digital infrastructure, legislation, local policy, costs, and reimbursement issues could be barriers to the implementation of telemedicine. Finally, telemedicine changes the way transplant professionals provide care, and this transition needs time, training, willingness, and acceptance. This review discusses the current state and benefits of telemedicine in kidney transplantation, with the aforementioned barriers, and provides an overview of future directions on telemedicine in kidney transplantation.

Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study

BACKGROUND

This study aimed to assess health care needs, electronic health literacy, mobile phone usage, and intention to use it for self-management purposes by informal caregivers of children with burn injuries.

METHODS

This cross-sectional research was carried out in 2021 with 112 informal caregivers of children with burns in a burn center in the north of Iran. The data collection tools were questionnaires that included the participants' demographics, their E-Health Literacy, their current mobile phone usage, and their desires for mobile phone use for burn care services.

RESULTS

Most informal caregivers had smartphones (83.0%) and Internet access (81.3%). Most participants occasionally used phone calls (63.4%), the Internet (45.5%), and social media (42.9) to receive information about psychosocial disorders, infection control, wound care, pain, itch, physical exercise, and feeding. Most participants have never used some of the mobile phone functionalities to receive burn-related information, such as applications/Software (99.1%) and e-mail (99.1%). Nevertheless, most informal caregivers desire to use mobile applications for self-management purposes in the future (88.4%). The mean eHealth literacy score was 25.01 (SD = 9.61). Informal caregivers who had higher education levels, access to the Internet, and lived in urban areas had higher eHealth literacy (P < 001).

CONCLUSION

The current research delivers beneficial information about the healthcare needs of informal caregivers and their preference to use mobile functionality to receive burns-related healthcare and rehabilitation information post-discharge. This information can help design and implement mobile health (mHealth) interventions to enhance the self-care skills of informal caregivers.

Sociodemographic determinants of digital health literacy: A systematic review and meta-analysis

INTRODUCTION

Differences in digital health literacy levels are associated with a lack of access to digital tools, usage patterns, and the ability to effectively use digital technologies. Although some studies have investigated the impact of sociodemographic factors on digital health literacy, a comprehensive evaluation of these factors has not been conducted. Therefore, this study sought to examine the sociodemographic determinants of digital health literacy by conducting a systematic review of the existing literature.

METHODS

A search of four databases was conducted. Data extraction included information on study characteristics, sociodemographic factors, and the digital health literacy scales used. Meta-analyses for age and sex were conducted using RStudio software with the metaphor package.

RESULTS

A total of 3922 articles were retrieved, of which 36 were included in this systematic review. Age had a negative effect on digital health literacy (B = -0.05, 95%CI [-0.06; -0.04]), particularly among older adults, whereas sex appeared to have no statistically significant influence among the included studies (B = - 0.17, 95%CI [-0.64; 0.30]). Educational level, higher income, and social support also appeared to have a positive influence on digital health literacy.

DISCUSSION

This review highlighted the importance of addressing the digital health literacy needs of underprivileged populations, including immigrants and individuals with low socioeconomic status. It also emphasizes the need for more research to better understand the influence of sociodemographic, economic, and cultural differences on digital health literacy.

CONCLUSIONS

Overall, this review suggests digital health literacy is dependent on sociodemographic, economic, and cultural factors, which may require tailored interventions that consider these nuances.

e-Health Literacy Skills in People with Chronic Diseases and What Do the Measurements Tell Us: A Scoping Review

Background: Use of electronic health (e-Health) technologies has increased in the past decade and inadequate e-Health literacy may lead to health-related social inequality. This is especially true for patients living with chronic diseases who are often involved in self-care. However, the measurement of e-Health literacy represents several challenges. Among available instruments, the e-Health Literacy Scale (eHEALS) is the only instrument with available psychometric properties. Aim: To identify studies measuring e-Health literacy in adults living with chronic disease and its relationship to health-related behaviors and other perceptions such as quality of life, self-efficacy, or specific disease biomarkers, and studies analyzing the impact of educational intervention on e-Health literacy. Methods: The authors searched MEDLINE, the Cochrane Library, and Web of Science databases to identify studies published in English language until April 2022. Results: Seventeen studies involving 4,877 participants were included. A majority of the studies were cross-sectional with a lack of appropriate controls. Five of the included studies were experimental, involving 758 participants. All of them reported positive effects of educational interventions on the improvements in self-reported e-Health literacy skills. However, most studies were at risk of bias. Conclusion: Despite these limitations, the findings of this review indicate the positive relationship between e-Health literacy and various health care processes in adults with chronic diseases and highlights a need for prospective controlled studies. Promoting e-Health literacy might give better opportunities for the active involvement of people with chronic diseases in self-care and for the implementation of online interventions into existing system of care.

eHealth Literacy and Patient Portal Use and Attitudes: Cross-sectional Observational Study

BACKGROUND

Throughout the COVID-19 pandemic, patient portals have become more widely used tools of patient care delivery. However, not all individuals have equivalent access or ability to use patient portals.

OBJECTIVE

The aim of this study is to evaluate the relationships between eHealth literacy (eHL) and patient portal awareness, use, and attitudes among hospitalized patients.

METHODS

Inpatients completed patient portal surveys; eHL was assessed (eHealth Literacy Scale). Multivariable logistic regression analyses adjusted for age, self-reported race, gender, and educational attainment were completed with significance at P<.006 (Bonferroni correction).

RESULTS

Among 274 participants, most identified as Black (n=166, 61%) and female (n=140, 51%), mean age was 56.5 (SD 16.7) years, and 178 (65%) reported some college or higher educational attainment. One-quarter (n=79, 28%) had low eHL (mean 27, SD 9.5), which was associated with lower odds of portal access awareness (odds ratio 0.11, 95% CI 0.05-0.23; P<.001), having ever used portals (odds ratio 0.19, 95% CI 0.10-0.36; P<.001), less perceived usefulness of portals (odds ratio 0.20, 95% CI 0.10-0.38; P=.001), and lower likelihood of planning to use portals in the coming years (odds ratio 0.12, 95% CI 0.06-0.25; P<.001). As time through the COVID-19 pandemic passed, there was a trend toward increased perceived usefulness of patient portals (53% vs 62%, P=.08), but average eHL did not increase through time (P=.81).

CONCLUSIONS

Low eHL was associated with less awareness, use, and perceived usefulness of portals. Perceived usefulness of portals likely increased through the COVID-19 pandemic, but patients' eHL did not. Interventions tailored for patients with low eHL could ensure greater equity in health care delivery through the COVID-19 pandemic.

Patients’ perspectives, factors and patterns of eHealth use in kidney transplant recipients

Introduction

eHealth supports the delivery of relevant health information and management of chronic disease. However, little is known about patients' perspectives and the determinants of eHealth use among kidney transplant recipients.

Methods

Kidney transplant recipients aged 18 years and older from 3 transplant units in Australia and the Better Evidence and Translation in Chronic Kidney Disease consumer network completed a survey with free-text responses relating to eHealth uptake. Multivariable regression modeling was used to determine the factors associated with eHealth use. Free-text responses were thematically analyzed.

Results

Of the 117 participants who were invited in person and who responded to the email, 91 completed the survey. Sixty-three participants (69%) were current eHealth users (active use of eHealth tools), and 91% had access to eHealth devices, including smartphones (81%) and computers (59%). Most (98%) reported that eHealth improves posttransplant care. Factors associated with increased eHealth use (odds ratio [95% confidence interval]) were higher eHealth literacy scale (eHEALS) score (1.21 [1.06-1.38]) and tertiary education (7.78 [2.19-27.7]). We identified the following 3 themes on eHealth determinants: (i) empowering self-management, (ii) enhancing health services, and (iii) technology burden.

Conclusions

Transplant recipients believe that eHealth interventions have the potential to improve their posttransplant care. eHealth interventions should meet the needs of all transplant recipients and be accessible to those with lower educational attainment.

Multicenter study of racial and ethnic inequities in liver transplantation evaluation: Understanding mechanisms and identifying solutions

Racial and ethnic disparities persist in access to the liver transplantation (LT) waiting list; however, there is limited knowledge about underlying system-level factors that may be responsible for these disparities. Given the complex nature of LT candidate evaluation, a human factors and systems engineering approach may provide insights. We recruited participants from the LT teams (coordinators, advanced practice providers, physicians, social workers, dieticians, pharmacists, leadership) at two major LT centers. From December 2020 to July 2021, we performed ethnographic observations (participant-patient appointments, committee meetings) and semistructured interviews (N = 54 interviews, 49 observation hours). Based on findings from this multicenter, multimethod qualitative study combined with the Systems Engineering Initiative for Patient Safety 2.0 (a human factors and systems engineering model for health care), we created a conceptual framework describing how transplant work system characteristics and other external factors may improve equity in the LT evaluation process. Participant perceptions about listing disparities described external factors (e.g., structural racism, ambiguous national guidelines, national quality metrics) that permeate the LT evaluation process. Mechanisms identified included minimal transplant team diversity, implicit bias, and interpersonal racism. A lack of resources was a common theme, such as social workers, transportation assistance, non-English-language materials, and time (e.g., more time for education for patients with health literacy concerns). Because of the minimal data collection or center feedback about disparities, participants felt uncomfortable with and unadaptable to unwanted outcomes, which perpetuate disparities. We proposed transplant center-level solutions (i.e., including but not limited to training of staff on health equity) to modifiable barriers in the clinical work system that could help patient navigation, reduce disparities, and improve access to care. Our findings call for an urgent need for transplant centers, national societies, and policy makers to focus efforts on improving equity (tailored, patient-centered resources) using the science of human factors and systems engineering.

Didactical characteristics of Dutch websites about kidney transplantation targeted for kidney patients and living donors: An exploratory study

Objective

The aim was to explore the origin, content topics, teaching modes (instruction, interaction, and assessment), and corresponding social-epistemological dimensions (choices in knowledge transfer vs. knowledge building, and individual vs. group learning) of web-based information on kidney transplantation targeted for patients and living donors.

Methods

Dutch websites on kidney transplantation were retrieved using the search engine Google.nl. From 24 websites, 250 webpages were examined on origin, content topics, teaching modes, and corresponding social-epistemological dimensions.

Results

The majority of the websites had a professional organization as origin (20/24). The number and distribution of content topics varied among the websites. Of the 16 different teaching modes found, 11 were instructional, 4 were interactional, and 1 assessment mode was found. The websites offered almost exclusively teaching modes on individual and passive learning, whereas group learning and interactive knowledge building was hardly encountered.

Conclusion

The diversity in teaching modes and social-epistemological dimensions of Dutch websites on kidney transplantation targeted for patients and living donors is limited. The websites only provided a partial view on kidney transplantation; information regarding contact with others, e.g. support, was limited. A more balanced availability of teaching approaches and content topics is desirable to fit with the didactical goals to make well-considered health decisions.

The Relationship Between Health Literacy and Outcomes Before and After Kidney Transplantation

Limited health literacy (HL) is associated with decreased kidney function and death in patients with chronic kidney disease. Less is known about the impact of HL on kidney transplant (KT) outcomes. The aim of this study was to examine the relationship between HL and KT outcomes, including rates of waitlisting, healthcare utilization, acute rejection, renal allograft function, renal allograft failure, and death.

Methods

We performed a retrospective review of HL data previously collected at our center. HL was assessed in a convenience sample of consecutive, English-speaking patients age ≥18 y who were evaluated for KT at Mayo Clinic in Minnesota between June 2015 and March 2017 as part of a practice improvement feasibility project (n = 690). HL was assessed using the 4-item Brief Health Literacy Screening Tool modified for the outpatient KT evaluation process. The 4 items assess confidence completing forms, reading comprehension, and oral literacy.

Results

Overall, 30.4% of patients had limited or marginal HL. Patients with limited or marginal HL were less likely than those with adequate HL to be waitlisted for KT (hazard ratio = 0.62 and 0.69, respectively), even after adjusting for age, marital status, body mass index, Charlson comorbidity index, or dialysis dependency. Patient HL was not associated with post-KT healthcare utilization, acute rejection, or renal allograft function. Patients with limited or marginal HL appeared to experience a higher risk of renal allograft failure and post-KT death, but the number of events was small, and the relationship was statistically significant only for marginal HL.

Conclusions

Inadequate HL is common in KT candidates and independently associated with decreased waitlisting for KT. We observed no statistically significant relationship between HL and posttransplant outcomes in our cohort. Further efforts to improve communication in patients with inadequate HL may improve access to KT.

Group differences in health literacy are ameliorated in ehealth literacy

BACKGROUND

Heath literacy and eHealth literacy are skills that enable individuals to seek, understand and use information in ways which promote and maintain health. The present study examined group differences (ethnicity, immigration) in both literacies and whether there exists an association between the literacies and potential outcomes/gains in health behaviors, health care utilization, perceived health and perceived outcomes of Internet search.

METHODS

Participants included 819 Israeli men and women who responded to a nationally representative random-digital-dial (RDD) telephone survey. Respondents were veteran Jews, immigrants from the Former Soviet Union, and Palestinian Citizens of Israel.

RESULTS

Significant differences between the groups were found in health literacy, especially in higher ordered skills, so that the immigrant group was the lowest, after accounting for demographic variables. No significant group differences were found in eHealth literacy. Health literacy was found to be significantly associated with healthcare utilization, perceived health and perceived outcomes of Internet search while eHealth literacy was associated with perceived health and perceived outcomes of Internet search. No interaction was found between group and literacies in the prediction of the outcomes.

CONCLUSIONS

Immigration hampers health literacy but differences are ameliorated in eHealth literacy. Finding on association between literacies and outcomes replicated previous ones and the absence of moderation by group attests to the robustness of the models on health literacies.