Online Health Information Seeking and eHealth Literacy Among Patients Attending a Primary Care Clinic in Hong Kong: A Cross-Sectional Survey

The predation relationship between online medical search and online medical consultation-empirical research based on Baidu platform data

Introduction

This study investigates the mutual influence between online medical search and online medical consultation. It focuses on understanding the health information needs that drive these health information-seeking behaviors by utilizing insights from behavioral big data.

Methods

We used actual behavioral data from Chinese internet users on Baidu platform's "Epidemic Index" from November 26, 2022, to January 25, 2023. Data modeling was conducted to ensure the reliability of the model. Drawing on the logistic model, we constructed a foundational model to quantify the evolutionary patterns of online medical search and online medical consultation. An impact function was defined to measure their mutual influence. Additionally, a pattern detection experiment was conducted to determine the structure of the impact function with maximum commonality through data fitting.

Results

The analysis allowed us to build a mathematical model that quantifies the nonlinear correlation between online medical search and online medical consultation. Numerical analysis revealed a predation mechanism between online medical consultation and online medical search, highlighting the role of health information needs in this dynamic.

Discussion

This study offers a novel practical approach to better meet the public's health information needs by understanding the interplay between online medical search and consultation. Additionally, the modeling method used here is broadly applicable, providing a framework for quantifying nonlinear correlations among different behaviors when appropriate data is available.

Comprehensiveness of Large Language Models in Patient Queries on Gingival and Endodontic Health

AIM

Given the increasing interest in using large language models (LLMs) for self-diagnosis, this study aimed to evaluate the comprehensiveness of two prominent LLMs, ChatGPT-3.5 and ChatGPT-4, in addressing common queries related to gingival and endodontic health across different language contexts and query types.

METHODS

We assembled a set of 33 common real-life questions related to gingival and endodontic healthcare, including 17 common-sense questions and 16 expert questions. Each question was presented to the LLMs in both English and Chinese. Three specialists were invited to evaluate the comprehensiveness of the responses on a five-point Likert scale, where a higher score indicated greater quality responses.

RESULTS

LLMs performed significantly better in English, with an average score of 4.53, compared to 3.95 in Chinese (Mann-Whitney U test, P < .05). Responses to common sense questions received higher scores than those to expert questions, with averages of 4.46 and 4.02 (Mann-Whitney U test, P < .05). Among the LLMs, ChatGPT-4 consistently outperformed ChatGPT-3.5, achieving average scores of 4.45 and 4.03 (Mann-Whitney U test, P < .05).

CONCLUSIONS

ChatGPT-4 provides more comprehensive responses than ChatGPT-3.5 for queries related to gingival and endodontic health. Both LLMs perform better in English and on common sense questions. However, the performance discrepancies across different language contexts and the presence of inaccurate responses suggest that further evaluation and understanding of their limitations are crucial to avoid potential misunderstandings.

CLINICAL RELEVANCE

This study revealed the performance differences of ChatGPT-3.5 and ChatGPT-4 in handling gingival and endodontic health issues across different language contexts, providing insights into the comprehensiveness and limitations of LLMs in addressing common oral healthcare queries.

Comparison of factors affecting Turkish citizens' search for online health information before and during the COVID-19 pandemic

BACKGROUND

Health information consumers can acquire knowledge regarding health problems, combat health problems, make health-related decisions, and change their behaviour by conducting health information searches. This study aims to identify the sociodemographic and economic factors affecting individuals' search for health information on the internet before and during COVID-19.

METHODS

In this study, micro data sets of the Household Information Technologies (IT) Usage Survey conducted by the Turkish Statistical Institute in 2018 and 2021 were used. The binary logistic regression analysis was also used in the study.

RESULTS

It was determined that age, gender, education level, occupation, social media use, searching for information about goods and services, internet banking use, e-government use, having a desktop computer, having a tablet computer, and region variables were associated with the status of searching for health information on the internet during the COVID-19 period.

CONCLUSION

The main reasons for the increase in health information searches during the COVID-19 epidemic can be attributed to several key factors, such as society's need for information and meeting its need for information, access to up-to-date health data and increased trust in official sources. The study's findings serve as a valuable resource for health service providers and information sources attempting to identify the health information-seeking behaviour of the public and to meet their needs in this context.

Readability analysis of ChatGPT's responses on lung cancer

For common diseases such as lung cancer, patients often use the internet to obtain medical information. As a result of advances in artificial intelligence and large language models such as ChatGPT, patients and health professionals use these tools to obtain medical information. The aim of this study was to evaluate the readability of ChatGPT-generated responses with different readability scales in the context of lung cancer. The most common questions in the lung cancer section of Medscape® were reviewed, and questions on the definition, etiology, risk factors, diagnosis, treatment, and prognosis of lung cancer (both NSCLC and SCLC) were selected. A set of 80 questions were asked 10 times to ChatGPT via the OpenAI API. ChatGPT's responses were tested using various readability formulas. The mean Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning FOG Scale, SMOG Index, Automated Readability Index, Coleman-Liau Index, Linsear Write Formula, Dale-Chall Readability Score, and Spache Readability Formula scores are at a moderate level (mean and standard deviation: 40.52 ± 9.81, 12.56 ± 1.66, 13.63 ± 1.54, 14.61 ± 1.45, 15.04 ± 1.97, 14.24 ± 1.90, 11.96 ± 2.55, 10.03 ± 0.63 and 5.93 ± 0.50, respectively). The readability levels of the answers generated by ChatGPT are "collage" and above and are difficult to read. Perhaps in the near future, the ChatGPT can be programmed to produce responses that are appropriate for people of different educational and age groups.

Influence of digital health literacy on online health-related behaviors influenced by internet advertising

BACKGROUND

The frequency of health-related information seeking on the internet and social media platforms has increased remarkably. Thus, the ability to understand and select accurate health-related information online, known as EHealth literacy, is crucial for the population. Therefore, this study aimed to evaluate how eHealth literacy influences the critical analysis of oral health-related information obtained from the Internet and its influence on oral health-related behaviors.  METHODS: A cross-sectional online study was conducted with 418 Brazilian adults who responded to the eHEALS questionnaire, with questions regarding the influence of online information on oral health decisions. Socioeconomic and demographic characteristics were also collected.

RESULTS

The mean eHEALS score was 27.85 (± 8.13), with a range spanning from 8 to 40 points. Participants with higher eHEALS scores reported using social media platforms to seek for dentists and to acque information about symptoms, diagnoses, and treatments. Furthermore, this group tended not to disregard professional health recommendations based on Internet information and abstained from utilizing products promoted by digital influencers. In multivariate models, increased eHEALS scores were associated with reduced consumption of products endorsed by digital influencers.

CONCLUSIONS

The findings from this study suggest that individuals with higher scores on the eHealth literacy questionnaire often conduct research on their health status and seek for health care providers on the Internet. Moreover, these individuals were less likely to be influenced by digital influencers.

The EORTC QLU-C10D: the Hong Kong valuation study

OBJECTIVE

The EORTC QLU-C10D is a new preference-based measure derived from the EORTC QLQ-C30. Country-specific value sets are required to support the cost-utility analysis of cancer-related interventions. This study aimed to generate an EORTC QLU-C10 value set for Hong Kong (HK).

METHODS

A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data.

RESULTS

The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead).

CONCLUSIONS

This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.

The association between internet use and the choice of medical institution among Chinese older adults

BACKGROUND

As older people have complex medical needs and still encounter challenges in accessing online health information, the relationship between Internet use and the choice of medical institution made by them is unclear, and we aimed to examine this relationship.

METHODS

Data from the newly released 2020 China Family Panel Survey database were used. Furthermore, we used descriptive statistics to analyze the background characteristics of the sample and a logistic regression model to estimate the impact of Internet use on the choice of medical institution made by older adults. We conducted a stratified analysis to explore the influence of different characteristics on the relationship between Internet use and the choice of medical institution.

RESULTS

Totally 4,948 older adults were included. Multivariate logistic regression showed that, compared to non-Internet users, Internet users were less likely to choose community health service centers over general hospitals (P < 0.001, OR = 0.667, 95CI%: 0.558-0.797). The subgroup analyses found that Internet use only had an impact on the choice of medical institution in older adults aged 65-69 years, those with partners, those with primary or secondary education, those residing in urban areas, those without medical insurance, those with a self-rated health status as average or healthy, those with unchanged or better health trend, and those without chronic disease. The effect of Internet use on the choice of medical institution did not differ by sex, satisfaction, or trust in doctors.

CONCLUSION

Internet use may significantly affect older adults' tendency to choose general hospitals to meet their daily medical needs. The subgroup analyses indicated that different characteristics of older people affected this association.

eHealth Literacy and the Use of NHS 111 Online Urgent Care Service in England: Cross-Sectional Survey

BACKGROUND

Many health care systems have used digital technologies to support care delivery, a trend amplified by the COVID-19 pandemic. "Digital first" may exacerbate health inequalities due to variations in eHealth literacy. The relationship between eHealth literacy and web-based urgent care service use is unknown.

OBJECTIVE

This study aims to measure the association between eHealth literacy and the use of NHS (National Health Service) 111 online urgent care service.

METHODS

A cross-sectional sequential convenience sample survey was conducted with 2754 adults (October 2020-July 2021) from primary, urgent, or emergency care; third sector organizations; and the NHS 111 online website. The survey included the eHealth Literacy Questionnaire (eHLQ), questions about use, preferences for using NHS 111 online, and sociodemographic characteristics.

RESULTS

Across almost all dimensions of the eHLQ, NHS 111 online users had higher mean digital literacy scores than nonusers (P<.001). Four eHLQ dimensions were significant predictors of use, and the most highly significant dimensions were eHLQ1 (using technology to process health information) and eHLQ3 (ability to actively engage with digital services), with odds ratios (ORs) of 1.86 (95% CI 1.46-2.38) and 1.51 (95% CI 1.22-1.88), respectively. Respondents reporting a long-term health condition had lower eHLQ scores. People younger than 25 years (OR 3.24, 95% CI 1.87-5.62) and those with formal qualifications (OR 0.74, 95% CI 0.55-0.99) were more likely to use NHS 111 online. Users and nonusers were likely to use NHS 111 online for a range of symptoms, including chest pain symptoms (n=1743, 70.4%) or for illness in children (n=1117, 79%). The users of NHS 111 online were more likely to have also used other health services, particularly the 111 telephone service (χ12=138.57; P<.001).

CONCLUSIONS

These differences in eHealth literacy scores amplify perennial concerns about digital exclusion and access to care for those impacted by intersecting forms of disadvantage, including long-term illness. Although many appear willing to use NHS 111 online for a range of health scenarios, indicating broad acceptability, not all are able or likely to do this. Despite a policy ambition for NHS 111 online to substitute for other services, it appears to be used alongside other urgent care services and thus may not reduce demand.

Quality assessment of health science-related short videos on TikTok: A scoping review

OBJECTIVE

The aims of this review are to clarify the current state of research in terms of assessment tools and assessors of the quality of health science-related short videos on TikTok, to identify limitations in existing research; and to provide a reference for future studies.

METHODS

A scoping review was conducted. The Cochrane Library, PubMed, MEDLINE, Web of Science, Embase, Scopus, EBSCO, CNKI, VIP, Wanfang Data, and CBM databases were searched from September 2016 to November 2022. Manual searching was also performed to identify additional eligible studies. A total of 2620 documents were initially retrieved, and 29 were ultimately included. The literature was screened and collected, and data were extracted and summarized by 2 researchers.

RESULTS

(1) The quality evaluation tools used in the 29 papers included the DISCERN, PEMAT(A/V), GQS, JAMA, HONcode, guidelines and self-developed tools. Twenty-four of the included articles used the DISCERN for quality assessment, which was the most frequently used evaluation tool. However, most of these tools were not developed to assess health science-related short videos, lacked credibility tests, and had poor applicability; therefore, the accuracy of the evaluation results might be biased. (2) The assessors of the quality of health science-related short videos on TikTok were mainly experts in related fields and medical students, with doctors (12/14) being the most common evaluators. Fifteen studies did not report the identity of the evaluators, and 12 studies did not report interrater reliability.

CONCLUSION

This scoping review found that there is a lack of specific quality assessment tools for health science-related short videos on TikTok. Second, the current quality assessors of health science-related short videos on TikTok are limited. Future research should focus on the development of reliable, scientific quality assessment tools for health science-related short videos; unifying the evaluation standards; inviting users with different backgrounds and different health literacy levels to conduct quality assessments; exploring the quality assessment of health science-related short videos on TikTok from different perspectives.

Enabling Health Information Recommendation Using Crowdsourced Refinement in Web-Based Health Information Applications: User-Centered Design Approach and EndoZone Informatics Case Study

BACKGROUND

In the digital age, search engines and social media platforms are primary sources for health information, yet their commercial interests-focused algorithms often prioritize irrelevant content. Web-based health applications by reputable sources offer a solution to circumvent these biased algorithms. Despite this advantage, there remains a significant gap in research on the effective integration of content-ranking algorithms within these specialized health applications to ensure the delivery of personalized and relevant health information.

OBJECTIVE

This study introduces a generic methodology designed to facilitate the development and implementation of health information recommendation features within web-based health applications.

METHODS

We detail our proposed methodology, covering conceptual foundation and practical considerations through the stages of design, development, operation, review, and optimization in the software development life cycle. Using a case study, we demonstrate the practical application of the proposed methodology through the implementation of recommendation functionalities in the EndoZone platform, a platform dedicated to providing targeted health information on endometriosis.

RESULTS

Application of the proposed methodology in the EndoZone platform led to the creation of a tailored health information recommendation system known as EndoZone Informatics. Feedback from EndoZone stakeholders as well as insights from the implementation process validate the methodology's utility in enabling advanced recommendation features in health information applications. Preliminary assessments indicate that the system successfully delivers personalized content, adeptly incorporates user feedback, and exhibits considerable flexibility in adjusting its recommendation logic. While certain project-specific design flaws were not caught in the initial stages, these issues were subsequently identified and rectified in the review and optimization stages.

CONCLUSIONS

We propose a generic methodology to guide the design and implementation of health information recommendation functionality within web-based health information applications. By harnessing user characteristics and feedback for content ranking, this methodology enables the creation of personalized recommendations that align with individual user needs within trusted health applications. The successful application of our methodology in the development of EndoZone Informatics marks a significant progress toward personalized health information delivery at scale, tailored to the specific needs of users.

Current status of electronic health literacy among pregnant women with gestational diabetes mellitus and their perceptions of online health information: a mixed-methods study

BACKGROUND

Women diagnosed with gestational diabetes mellitus often rely on internet-based health information for managing their condition. This study aims to investigate the present state of electronic health literacy among women with gestational diabetes mellitus, analyze the influencing factors, and explore their experiences regarding accessing, comprehending, evaluating, and applying online health information pertinent to gestational diabetes mellitus.

METHODS

A sequential explanatory mixed methods research design was adopted in this study. Initially, 235 women with gestational diabetes mellitus participated in a cross-sectional survey. The research tools included general information and the Chinese version of the electronic Health Literacy Scale (eHEALS). Descriptive analyses were conducted to describe the characteristics of the sample, and multiple linear regression analyses were used to explore the factors influencing electronic health literacy among women with gestational diabetes mellitus. Secondly, 11 women with gestational diabetes mellitus joined semi-structured in-depth interviews to obtain their perceptions about online health information. The data were analyzed using inductive content analysis to develop themes.

RESULTS

The median score of eHEALS in the Chinese version among 235 women diagnosed with gestational diabetes mellitus was 29 (interquartile range [IQR], 26 to 32). Factors influencing electronic health literacy among these women included accessing health information from medical professionals (β = 0.137, p = 0.029) and utilizing health information from applications (β = 0.159, p = 0.013). From the qualitative phase of the study, four thematic categories emerged: reasons and basis for accessing health information from the Internet; address barriers to accessing and applying online health information; desires for a higher level of online health information services; outcomes of accessing and applying online health information.

CONCLUSION

The electronic health literacy of women diagnosed with gestational diabetes mellitus remains suboptimal and warrants improvement. The sources of access to health information affect electronic health literacy in women with gestational diabetes mellitus. Moreover, women facing gestational diabetes encounter numerous impediments when attempting to access health-related information online, underscoring the necessity for enhanced online health information services to meet their needs.

Assessment of medical information on irritable bowel syndrome information in Wikipedia and Baidu Encyclopedia: comparative study

Background

Irritable bowel syndrome (IBS) is a functional gastrointestinal disorder (FGID) with heterogeneous clinical presentations. There are no clear testing parameters for its diagnosis, and the complex pathophysiology of IBS and the limited time that doctors have to spend with patients makes it difficult to adequately educate patients in the outpatient setting. An increased awareness of IBS means that patients are more likely to self-diagnose and self-manage IBS based on their own symptoms. These factors may make patients more likely to turn to Internet resources. Wikipedia is the most popular online encyclopedia among English-speaking users, with numerous validations. However, in Mandarin-speaking regions, the Baidu Encyclopedia is most commonly used. There have been no studies on the reliability, readability, and objectivity of IBS information on the two sites. This is an urgent issue as these platforms are accessed by approximately 1.45 billion people.

Objective

We compared the IBS content on Wikipedia (in English) and Baidu Baike (in Chinese), two online encyclopedias, in terms of reliability, readability, and objectivity.

Methods

The Baidu Encyclopedia (in Chinese) and Wikipedia (in English) were evaluated based on the Rome IV IBS definitions and diagnoses. All possible synonyms and derivatives for IBS and IBS-related FGIDs were screened and identified. Two gastroenterology experts evaluated the scores of articles for both sites using the DISCERN instrument, the Journal of the American Medical Association scoring system (JAMA), and the Global Quality Score (GQS).

Results

Wikipedia scored higher overall with DISCERN (p < .0001), JAMA (p < .0001) and GQS (p < .05) than the Baidu Encyclopedia. Specifically, Wikipedia scored higher in DISCERN Section 1 (p < .0001), DISCERN Section 2 (p < .01), DISCERN Section 3 (p < .001), and the General DISCERN score (p < .0001) than the Baidu Encyclopedia. Both sites had low DISCERN Section 2 scores (p = .18). Wikipedia also had a larger percentage of high quality scores in total DISCERN, DISCERN Section 1, and DISCERN Section 3 (p < .0001, P < .0001, P < .0004, respectively, based on the above 3 (60%) rule).

Conclusions

Wikipedia provides more reliable, higher quality, and more objective IBS-related health information than the Baidu Encyclopedia. However, there should be improvements in the information quality for both sites. Medical professionals and institutions should collaborate with these online platforms to offer better health information for IBS.

Quality and Reliability Analysis of YouTube as a Source for Patient Education on Dupuytren's Contracture

Purpose

This study seeks to assess the quality and reliability of YouTube videos on Dupuytren's contracture.

Methods

The first 50 unique videos on Dupuytren's contracture were evaluated by searching YouTube for Dupuytren's contracture. Video metrics, source, and content type were recorded. Video reliability was assessed using the Journal of American Medical Association (JAMA) Benchmark criteria. Video educational quality was assessed using the Global Quality Score (GQS) and a Dupuytren's Contracture-Specific Score (DC-SS).

Results

The total number of views for all 50 videos evaluated was 1,908,608 (mean, 38,172.16 ± 5,502.45 views). The mean reliability (JAMA) score was 2.21 ± 0.69 (range 0-4), the mean educational quality (GQS) score was 2.80 ± 1.28 (range 1-5), and the mean disease-specific (DC-SS) score was 6.05 ± 2.17 (range 0-15). Nonphysician health care professionals had the most popular videos, but the lowest DC-SS. GQS varied based on the video source, with physician-uploaded videos having the highest average quality scores. Physician source was an independent positive predictor of higher quality (GQS) (β = 0.477).

Conclusions

Videos on Dupuytren's contracture were frequently viewed on YouTube but had overall low educational quality and reliability. Of the videos that discussed collagenase as a treatment option, 40% failed to mention percutaneous needle aponeurotomy. Patients may be exposed to an incomplete set of treatment options. Educational content on YouTube should be interpreted cautiously and proper in-office education and high-quality resources for Dupuytren's contracture should be provided by physicians.

Type of Study/Level of Evidence

Therapeutic IV.

Improving Diagnostic Procedures in Autism for Girls and Women: A Narrative Review

Biases exist in the diagnostic process for autism spectrum disorder (henceforth "autism"), which result in some girls and women being diagnosed later or missed entirely. Current diagnostic tools may not capture the full range of behavioural presentations of autism, leading to under-identification. This review explores why these biases may occur, and how diagnostic procedures could be adapted to better identify autistic girls and women. We recommend that diagnostic assessments are adjusted to capture a broader range of behavioural exemplars of autism; that camouflaging of autistic traits is taken into account; and that care is taken to ensure co-occurring mental health conditions do not overshadow autism diagnosis. We offer recommendations, building on gold-standard diagnostic guidelines, for how diagnostic procedures can be improved for girls and women.

Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study)

BACKGROUND

Artificial intelligence (AI)-based chatbots could help address some of the challenges patients face in acquiring information essential to their self-health management, including unreliable sources and overburdened health care professionals. Research to ensure the proper design, implementation, and uptake of chatbots is imperative. Inclusive digital health research and responsible AI integration into health care require active and sustained patient and stakeholder engagement, yet corresponding activities and guidance are limited for this purpose.

OBJECTIVE

In response, this manuscript presents a master protocol for the development, testing, and implementation of a chatbot family in partnership with stakeholders. This protocol aims to help efficiently translate an initial chatbot intervention (MARVIN) to multiple health domains and populations.

METHODS

The MARVIN chatbots study has an adaptive platform trial design consisting of multiple parallel individual chatbot substudies with four common objectives: (1) co-construct a tailored AI chatbot for a specific health care setting, (2) assess its usability with a small sample of participants, (3) measure implementation outcomes (usability, acceptability, appropriateness, adoption, and fidelity) within a large sample, and (4) evaluate the impact of patient and stakeholder partnerships on chatbot development. For objective 1, a needs assessment will be conducted within the setting, involving four 2-hour focus groups with 5 participants each. Then, a co-construction design committee will be formed with patient partners, health care professionals, and researchers who will participate in 6 workshops for chatbot development, testing, and improvement. For objective 2, a total of 30 participants will interact with the prototype for 3 weeks and assess its usability through a survey and 3 focus groups. Positive usability outcomes will lead to the initiation of objective 3, whereby the public will be able to access the chatbot for a 12-month real-world implementation study using web-based questionnaires to measure usability, acceptability, and appropriateness for 150 participants and meta-use data to inform adoption and fidelity. After each objective, for objective 4, focus groups will be conducted with the design committee to better understand their perspectives on the engagement process.

RESULTS

From July 2022 to October 2023, this master protocol led to four substudies conducted at the McGill University Health Centre or the Centre hospitalier de l'Université de Montréal (both in Montreal, Quebec, Canada): (1) MARVIN for HIV (large-scale implementation expected in mid-2024), (2) MARVIN-Pharma for community pharmacists providing HIV care (usability study planned for mid-2024), (3) MARVINA for breast cancer, and (4) MARVIN-CHAMP for pediatric infectious conditions (both in preparation, with development to begin in early 2024).

CONCLUSIONS

This master protocol offers an approach to chatbot development in partnership with patients and health care professionals that includes a comprehensive assessment of implementation outcomes. It also contributes to best practice recommendations for patient and stakeholder engagement in digital health research.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05789901; https://classic.clinicaltrials.gov/ct2/show/NCT05789901.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/54668.

Assessment of online information on robotic cardiac and thoracic surgery

Online health resources are important for patients seeking perioperative information on robotic cardiac and thoracic surgery. The value of the resources depends on their readability, accuracy, content, quality, and suitability for patient use. We systematically assess current online health information on robotic cardiac and thoracic surgery. Systematic online searches were performed to identify websites discussing robotic cardiac and thoracic surgery. For each website, readability was measured by nine standardized tests, and accuracy and content were assessed by an independent panel of two robotic cardiothoracic surgeons. Quality and suitability of websites were evaluated using the DISCERN and Suitability Assessment of Materials tools, respectively. A total of 220 websites (120 cardiac, and 100 thoracic) were evaluated. Both robotic cardiac and thoracic surgery websites were very difficult to read with mean readability scores of 13.8 and 14.0 (p = 0.97), respectively, requiring at least 13 years of education to be comprehended. Both robotic cardiac and thoracic surgery websites had similar accuracy, amount of content, quality, and suitability (p > 0.05). On multivariable regression, academic websites [Exp (B)], 2.25; 95% confidence interval [CI], 1.60-3.16; P < 0.001), and websites with higher amount of content [Exp (B)],1.73; 95% CI, 1.24-2.41; P < 0.001) were associated with higher accuracy. There was no association between readability of websites and accuracy [Exp (B)], 1.04; 95% CI, 0.90-1.21; P = 0.57). Online information on robotic cardiac and thoracic surgery websites overestimate patients' understanding and require at least 13 years of education to be comprehended. As website accuracy is not associated with ease of reading, the readability of online resources can be improved without compromising accuracy.

Quality assessment of online osteosarcoma-related videos in Mainland China: A cross-sectional study

BACKGROUND

Information about orthopedics diseases on the Internet has not been extensively assessed. Our purpose was to evaluate the quality of online information of osteosarcoma on current video-sharing platforms in mainland China.

METHOD

TikTok and Bilibili were independently queried from June to July 2023 by four independent researchers using the Microsoft Edge web browser. Information about the videos and creators was recorded, and descriptive analyses were conducted.

RESULTS

After data extraction, a total of 95 videos were included, in which 43 videos were uploaded by certified doctors (45.3%), with 35 videos (36.8%) uploaded by certified orthopedic surgeons. Of the content of these videos, 78.9% were introduction (n = 75), 64.2% were on professional knowledge (n = 61), 28.4% were on treatment (n = 27), while 5.3% were on surgical techniques (n = 5). The mean DISCERN total score was 43.8 ± 13.4, and the mean JAMA score was 3.8 ± 0.3.

CONCLUSIONS

Videos about osteosarcoma on current video-sharing platforms were extensive, but were not comprehensive and professional. Although current online videos have the potential to improve public awareness on osteosarcoma, due to their quality and content, were not assessed to be good sources for medical education.

Digital health in perinatal care: Exploring usage, attitudes, and needs among Swiss women in urban and rural settings

Background

Switzerland's healthcare system is known for its quality but faces challenges such as slow digitalization and fragmentation, especially in perinatal care. This study investigates Swiss women's use, needs, and attitudes in respect of digital health tools during pregnancy and postpartum, focusing on any differences between rural and urban populations.

Methods

A web-based cross-sectional survey targeted pregnant women and those who had given birth in the last 12 months. Participants were recruited through social media, and the data were analyzed using principal component analysis and multivariable regressions to explore factors affecting the use of digital tools and attitudes toward eHealth.

Results

A total of 1160 participants completed the survey. Healthcare professionals (92%) and private networks (77%) were the primary sources of information. Women expressed a strong preference for app features such as data access (73%), prescription management (73%), and scheduling appointments with healthcare professionals (71%). However, they also raised concerns about the impersonal nature of digital healthcare interactions (71%). Overall, rural women had more negative attitudes toward online health information seeking, which can be attributed to differences in education levels.

Conclusion

The findings indicate that while Swiss women in the perinatal period do utilize digital tools, they focus more on nonmedical topics such as tracking physiological development. The study underscores the importance of adapting digital health solutions to the specific needs of women in the perinatal period. Emphasis should be placed on developing applications that are not only informative but also empower women on their healthcare journey while ensuring data privacy and supporting personal interactions with healthcare providers.

Topics Included in Health Literacy Studies in Asia: A Systematic Review

The study aimed to review general and specific health literacy studies in different countries in Asia to understand the progress of health literacy researches in the region. English-published studies with quantitative measurements of health literacy were collected through a systematic search in PubMed, Cochrane Library, Embase, and Web of Science, without publication dates limitation. A total of 156 articles on general health literacy, oral, mental, disease-specific health literacy, and eHealth literacy were collected. General health literacy was the most covered topic in 89 articles, followed by eHealth Literacy. Health literacy studies have been conducted in 16 countries and have been increasingly concerned in most of the countries in Asia. China had the largest number of articles, followed by Taiwan. Four studies had participants from more than one country. Education, age, health status, incomes, and living/residential area were significantly associated with health literacy levels in 156 studies, with the prevalence of 55.8%, 28.2%, 20.5%, 17.9%, and 10.9%, respectively. Lower health literacy was related to poorer health outcomes or lower quality of life in 71 studies.

An Active Model of Research Translation for the General Public: Content Analysis of a YouTube-Based Health Podcast

BACKGROUND

Online health information seeking is changing the way people engage with health care and the health system. Recent changes in practices related to seeking, accessing, and disseminating scientific research, and in particular health information, have enabled a high level of user engagement.

OBJECTIVE

This study aims to examine an innovative model of research translation, The Huberman Lab Podcast (HLP), developed by Andrew Huberman, Professor of Neurobiology and Ophthalmology at the Stanford School of Medicine. The HLP leverages social media to deliver health information translated into specific, actionable practices and health strategies directly to the general public. This research characterizes the HLP as an Active Model of Research Translation and assesses its potential as a framework for replicability and wider adoption.

METHODS

We applied conventional content analysis of the YouTube transcript data and directed content analysis of viewers' YouTube comments to 23 HLP episodes released from January to October 2021, reflecting the time of data analysis. We selected 7 episodes and a welcome video, to describe and identify key characteristics of the HLP model. We analyzed viewer comments for 18 episodes to determine whether viewers found the HLP content valuable, accessible, and easy to implement.

RESULTS

The key HLP features are direct-to-the-consumer, zero-cost, bilingual, and actionable content. We identified 3 main organizing categories and 10 subcategories as the key elements of the HLP: (1) Why: Educate and Empower and Bring Zero Cost to Consumer Information to the General Public; (2) What: Tools and Protocols; Underlying Mechanisms; and Grounded in Science; (3) How: Linear and Iterative Knowledge Building Process; Lecture-Style Sessions; Interactive and Consumer Informed; Easily Accessible; and Building the Community. Analysis of viewers' comments found strong consumer support for the key HLP model elements.

CONCLUSIONS

This Active Model of Research Translation offers a way to synthesize scientific evidence and deliver it directly to end users in the form of actionable tools and education. Timely evidence translation using effective consumer engagement and education techniques appears to improve access and confidence related to health information use and reduces challenges to understanding and applying health information received from health providers. Framing complex content in an approachable manner, engaging the target audience, encouraging participation, and ensuring open access to the content meet current recommendations on innovative practices for leveraging social media or other digital platforms for disseminating science and research findings to the general public, and are likely key contributors to HLP impact and potential for success. The model offers a replicable framework for translating and disseminating scientific evidence. Similar active models of research translation can have implications for accessing health information and implementing health strategies for improved outcomes. Areas for further investigation are specific and measurable impacts on health, usability, and relevance of the model for reaching marginalized and high-risk populations.

Research status of internet-delivered cognitive behavioral therapy in cancer patients

The latest global cancer burden data released by the International Agency for Research on Cancer of the World Health Organization in 2020 shows that there were 19.29 million new cancer cases worldwide, with 4.57 million in China, ranking first. The number of cancer survivors is increasing, with a 5-year survival rate exceeding 85%, but there are emotional disorders. Cognitive behavioral therapy (CBT) can improve negative emotions and has significant effects on patients. However, there is a limited number of physicians and high costs, so internet interventions have become a solution. The feasibility of web-based interventions for breast cancer patients has been proven. Research on internet-delivered CBT is also increasing. The purpose of this study was to review the concept of web-based CBT and its application status in cancer survivors, in order to provide relevant intervention for scholars and provide reference and supplement for patients to provide psychological therapy.

Maternal Health Literacy, Health information-seeking Behavior and Pregnancy Outcomes Among Iranian Pregnant Women: A Cross-Sectional Study

Background: Maternal health literacy (MHL) and health information-seeking behavior (HISB) could impact maternal health and pregnancy outcomes.Purpose and Research Design: This cross-sectional study investigated MHL, HISBs, and pregnancy outcomes in Iranian pregnant women. This study was also aimed to determine the predictors of MHL and pregnancy outcomes.Study smple and Data Collection: In this study, 337 randomly selected postpartum women completed three questionnaires, including a demographics form, an obstetrics history checklist, and the Maternal Health Literacy and Pregnancy Outcome Questionnaire (MHLAPQ).Results: The mean MHL and pregnancy outcome scores were 60.80 ± 9.91 and 49.88 ± 5.69, respectively. Of the participants, 56% adopted both formal and informal HISB. Education and internet HISB was associated with the odds of being in the group with higher MHL. Participants with high MHL had more than twice higher odds for better pregnancy outcomes (OR = 2.25, p < 0.004).Conclusions: Continued efforts are required to make health information sources more accessible to pregnant women to improve their health literacy and pregnancy outcomes.

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.

Adolescent pursuit of health information online during the COVID-19 pandemic: The roles played by eHealth literacy and psychological distress

COVID-19 has led to an increase in mental health problems for adolescents. In this study, we examined the factors related to the eHealth literacy of adolescents and how that impacted their pursuit of health information and mental health information online during the COVID-19 pandemic. We analyzed data from the 2020 Taiwan Communication Survey, which involved a total of 1,250 national representative adolescents who completed an online questionnaire. The results showed that two-thirds of adolescents reported searching for health information online, and about half of them reported searching for mental health information online during the COVID-19 pandemic. Multivariate analysis results indicated that adolescents who spent more time learning online, had higher levels of bonding social capital and self-determination, and had higher levels of parental active internet mediation were more likely to have higher levels of eHealth literacy. In addition, multivariate analysis results showed that adolescents who had higher levels of eHealth literacy and had higher depression and anxiety were more likely to seek health information and mental health information online. In conclusion, the levels of eHealth literacy and psychological distress of adolescents played a crucial role in their pursuit of health information and mental health information online during the COVID-19 pandemic.

Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study

Background

University students are increasingly inclined to use the Internet for health-related purposes, and their sleep problems are becoming increasingly prominent. Currently, the relationship between sleep quality and online health-related searches is poorly understood. The aim of this study was to exam the associations of sleep quality, Internet use, eHealth literacy, online health information seeking and cyberchondria in the sample of Chinese university students.

Methods

A total of 2744 students completed self-reported questionnaires online containing the Pittsburgh Sleep Quality Index (PSQI), eHealth Literacy Scale, Online Health Information Seeking, Cyberchondria Severity Scale (CSS) and questions regarding sleep duration, Internet use, health status, and demographic information.

Results

The prevalence of poor sleep quality (PSQI >7) among the university students was 19.9% and 15.6% students slept less than 7 h per day. As time spent on online daily and playing phone before bed increased, the prevalence of sleep disturbance gained. Sleep disturbance was significantly associated with cyberchondria (OR = 1.545, p = 0.001), health status [good (OR = 0.625, p = 0.039), poor (OR = 3.128, p = 0.010), and fair (OR = 1.932, p = 0.001)]. Sleep quality, online health information seeking and eHealth literacy positively influenced with cyberchondria. Compared to 7-8 h sleep duration, online health information seeking (OR = 0.750, p = 0.012) was significantly associated with ≥8 h sleep duration.

Conclusion

Our findings highlighted poor health status, too much time spent on online daily and high cyberchondria level might decrease sleep quality in the sample of Chinese university students, further suggesting the need for developing interventions based on online health-related searches for improving sleep quality among university students.

A multimethod study of NHS 111 online

Background

NHS 111 online offers 24-hour access to health assessment and triage.

Objectives

This study examined pathways to care, differential access and use, and workforce impacts of NHS 111 online. This study compared NHS 111 with Healthdirect (Haymarket, Australia) virtual triage.

Design

Interviews with 80 staff and stakeholders in English primary, urgent and emergency care, and 41 staff and stakeholders associated with Healthdirect. A survey of 2754 respondents, of whom 1137 (41.3%) had used NHS 111 online and 1617 (58.7%) had not.

Results

NHS 111 online is one of several digital health-care technologies and was not differentiated from the NHS 111 telephone service or well understood. There is a similar lack of awareness of Healthdirect virtual triage. NHS 111 and Healthdirect virtual triage are perceived as creating additional work for health-care staff and inappropriate demand for some health services, especially emergency care. One-third of survey respondents reported that they had not used any NHS 111 service (telephone or online). Older people and those with less educational qualifications are less likely to use NHS 111 online. Respondents who had used NHS 111 online reported more use of other urgent care services and make more cumulative use of services than those who had not used NHS 111 online. Users of NHS 111 online had higher levels of self-reported eHealth literacy. There were differences in reported preferences for using NHS 111 online for different symptom presentations.

Conclusions

Greater clarity about what the NHS 111 online service offers would allow better signposting and reduce confusion. Generic NHS 111 services are perceived as creating additional work in the primary, urgent and emergency care system. There are differences in eHealth literacy between users and those who have not used NHS 111 online, and this suggests that 'digital first' policies may increase health inequalities.

Limitations

This research bridged the pandemic from 2020 to 2021; therefore, findings may change as services adjust going forward. Surveys used a digital platform so there is probably bias towards some level of e-Literacy, but this also means that our data may underestimate the digital divide.

Future work

Further investigation of access to digital services could address concerns about digital exclusion. Research comparing the affordances and cost-benefits of different triage and assessment systems for users and health-care providers is needed. Research about trust in virtual assessments may show how duplication can be reduced. Mixed-methods studies looking at outcomes, impacts on work and costs, and ways to measure eHealth literacy, can inform the development NHS 111 online and opportunities for further international shared learning could be pursued.

Study registration

This study is registered at the research registry (UIN 5392).

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research Programme and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 5. See the NIHR Journals Library website for further project information.

Utility and usability evaluation of an information diary tool to measure health information access and exposure among patients with high cardiovascular risk

Background

Online health misinformation about statins potentially affects health decision-making on statin use and adherence. We developed an information diary platform (IDP) to measure topic-specific health information exposure where participants record what information they encounter. We evaluated the utility and usability of the smartphone diary from the participants' perspective.

Methods

We used a mixed-method design to evaluate how participants used the smartphone diary tool and their perspectives on usability. Participants were high cardiovascular-risk patients recruited from a primary care clinic and used the tool for a week. We measured usability with the System Usability Scale (SUS) questionnaire and interviewed participants to explore utility and usability issues.

Results

The information diary was available in three languages and tested with 24 participants. The mean SUS score was 69.8 ± 12.9. Five themes related to utility were: IDP functions as a health information diary; supporting discussion of health information with doctors; wanting a feedback function about credible information; increasing awareness of the need to appraise information; and wanting to compare levels of trust with other participants or experts. Four themes related to usability were: ease of learning and use; confusion about selecting the category of information source; capturing offline information by uploading photos; and recording their level of trust.

Conclusion

We found that the smartphone diary can be used as a research instrument to record relevant examples of information exposure. It potentially modifies how people seek and appraise topic-specific health information.

The Nature and Types of Community Palliative and end-of-Life Care Services: A Content Analysis of Service Provider Websites in Hong Kong

OBJECTIVE

To analyze the nature and types of community palliative and end-of-life care (PEoLC) services in Hong Kong in order to inform future service development.

METHODS

This cross-sectional descriptive study systematically searched the eligible websites of service providers concerning community PEoLC services for patients and their family caregivers using the Hong Kong version of the Google Search engine in August 2021. Search terms included different traditional Chinese translations of palliative care, end-of- lifecare, and hospice care. For the included websites, information regarding the characteristics and types of PEoLC services were extracted and coded using content analysis.

RESULTS

Sixteen websites providing community PEoLC services were included in this analysis, which were almost all provided by non-governmental organizations (NGOs). Around half of the service providers targeted the geriatric group and served the population in some major geographic areas and districts only. Ten types of services were identified, including (1) information and advice; (2) psychological support; (3) dying and bereavement care; (4) spiritual support; (5) medical and nursing care; (6) leisure and social well-being activities; (7) support with household and other practical tasks; (8) referral resources; (9) financial support; and (10) caregiving skills training.

CONCLUSION

Existing community PEoLC services in Hong Kong are provided mainly by NGOs, with a focus on comprehensive care for patients in some areas and districts but few support services for caregivers. There is a need for continued efforts to optimize the PEoLC services to support patients and caregivers locally.

Cyberchondria and its Association with Smartphone Addiction and Electronic Health Literacy among a Saudi Population

Background

Cyberchondria is a recent phenomenon characterized by the excessive/frequent searching of the internet for health-related information (HRI) that results in concerns/anxiety over health and wellness. Studies have shown an increase in the prevalence of cyberchondria and that it is associated with smartphone addiction and eHealth literacy, but few such studies are available from Saudi Arabia.

Methods

This cross-sectional study included adult Saudis living in Jeddah, Saudi Arabia, and was conducted between May 1 and June 30, 2022. A four-section questionnaire was distributed using Google Forms, and included the Cyberchondria Severity Scale (CSS), Smartphone Addiction Scale-Short Version (SAS), and Electronic Health Literacy scale (eHEALS). The scales were translated into Arabic using the forward-backward technique, and then evaluated for content validity, face validity, and reliability.

Results

The reliability of the translated versions was satisfactory: CSS Cronbach's alpha = 0.882; SAS = 0.887; eHEALS = 0.903. A total of 518 participants were inlcuded, of which the majority were female (64.1%). The prevalence of cyberchondria was 2.1% (95% CI: 1.1-3.8), 83.4% (79.9-86.5), and 14.5% (11.6-17.8) for low, moderate, and high grades, respectively. Two-thirds of the participants (66.6%) had smartphone addiction, while three-fourths (72.6%) had a high level of eHealth literacy. There were significant correlations between cyberchondria and smartphone addiction (r = 0.395, CI = 0.316/0.475, P = 0.0001) and high eHealth literacy (r = 0.265, CI = 0.182/0.349, P = 0.0001).

Conclusion

The study revealed a high prevalence of cyberchondria in a Saudi population, and this was associated with smartphone addiction and high eHealth literacy.

Factors influencing the e-health literacy in cancer patients: a systematic review

PURPOSE

As Internet technology evolves, electronic health (e-health) literacy gradually becomes a key factor in healthy behaviors and health-related decision-making. However, little is known about the influencing factors of e-health literacy among cancer survivors. Thus, the objective of this study was to systematically review the status quo, assessment tools, and influencing factors of e-health literacy in cancer patients.

METHODS

We conducted a comprehensive search in several databases, including PubMed, MEDLINE, Embase, CINAHL, PsycInfo, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, Chinese BioMedical Literature Database, and Chinese Science and Technology Journal Database between January 2000 and December 2021.

RESULTS

A total of nine articles were included in this review, all of which were cross-sectional studies. Following the JBI critical appraisal tool, seven of them were rated as high quality. The e-Health Literacy Scale (eHEALS) was the most commonly used measurement for e-health literacy in cancer patients. The level of e-health literacy in cancer survivors was not high, which was associated with a variable of factors. The behavioral model of health services use was adopted to summarize related influencing factors. From an individual's perspective, predisposing characteristics and enabling resources were the most significant factors, without factors related to needs characteristics.

CONCLUSION

The study has identified the influencing factors of e-health literacy among cancer survivors, including age, gender, domicile place, education level, information-seeking behavior, and social support. In the future, e-health literacy lectures need to be carried out for elderly cancer patients, especially those who live in rural areas and have no access to the Internet. Families and friends of cancer survivors should also be encouraged to offer them more support.

IMPLICATIONS FOR CANCER SURVIVORS

These findings of this review provide novel insights for both family members and medical workers to improve e-health literacy in cancer patients. Further research is required to develop easy-to-use electronic health information acquisition devices and establish propagable e-health literacy intervention programs for cancer survivors.

Online Information Related to Symptoms of Carpal Tunnel Syndrome: A Google Search Analysis

Introduction While Google is frequently used to access internet-based health resources, the quality of online health information remains variable. Our purpose was to assess suggested resources identified through Google search features for common symptoms related to carpal tunnel syndrome (CTS). Methods Two searches were performed. The first, labeled "symptom-related," included the terms "hand numbness," "hand tingling," and "hand falling asleep." The second, labeled "CTS-specific," included "carpal tunnel syndrome," "carpal tunnel surgery," and "carpal tunnel release." A novel feature of Google's search engine is to display similar searches made by other users ("People Also Ask" snippet). For each search, the first 100 results snippets and the associated website links were recorded. A list of unique questions was compiled and classified into 1 of 3 categories using the Rothwell classification: fact, policy, or value. Questions were also classified based on the diagnoses suggested by the query. Website authorship was determined, and the corresponding links were categorized by two independent reviewers. Results The "symptom-related" searches yielded 175 unique questions and 130 unique website links, and the "CTS-specific" searches yielded a total of 243 questions and 179 unique links. For "symptom-related" searches, 65% of questions suggested a diagnosis, with CTS being suggested as a diagnosis for only 3% of questions. In contrast, CTS was suggested by 92% of questions in "CTS-specific" searches. In both searches, nearly 75% of questions were classified as "facts." Commercial websites were the most common in both searches. Conclusion Google searches for common symptoms of median nerve compression rarely yield information related to CTS.

Readability and topics of the German Health Web: Exploratory study and text analysis

BACKGROUND

The internet has become an increasingly important resource for health information, especially for lay people. However, the information found does not necessarily comply with the user's health literacy level. Therefore, it is vital to (1) identify prominent information providers, (2) quantify the readability of written health information, and (3) to analyze how different types of information sources are suited for people with differing health literacy levels.

OBJECTIVE

In previous work, we showed the use of a focused crawler to "capture" and describe a large sample of the "German Health Web", which we call the "Sampled German Health Web" (sGHW). It includes health-related web content of the three mostly German speaking countries Germany, Austria, and Switzerland, i.e. country-code top-level domains (ccTLDs) ".de", ".at" and ".ch". Based on the crawled data, we now provide a fully automated readability and vocabulary analysis of a subsample of the sGHW, an analysis of the sGHW's graph structure covering its size, its content providers and a ratio of public to private stakeholders. In addition, we apply Latent Dirichlet Allocation (LDA) to identify topics and themes within the sGHW.

METHODS

Important web sites were identified by applying PageRank on the sGHW's graph representation. LDA was used to discover topics within the top-ranked web sites. Next, a computer-based readability and vocabulary analysis was performed on each health-related web page. Flesch Reading Ease (FRE) and the 4th Vienna formula (WSTF) were used to assess the readability. Vocabulary was assessed by a specifically trained Support Vector Machine classifier.

RESULTS

In total, n = 14,193,743 health-related web pages were collected during the study period of 370 days. The resulting host-aggregated web graph comprises 231,733 nodes connected via 429,530 edges (network diameter = 25; average path length = 6.804; average degree = 1.854; modularity = 0.723). Among 3000 top-ranked pages (1000 per ccTLD according to PageRank), 18.50%(555/3000) belong to web sites from governmental or public institutions, 18.03% (541/3000) from nonprofit organizations, 54.03% (1621/3000) from private organizations, 4.07% (122/3000) from news agencies, 3.87% (116/3000) from pharmaceutical companies, 0.90% (27/3000) from private bloggers, and 0.60% (18/3000) are from others. LDA identified 50 topics, which we grouped into 11 themes: "Research & Science", "Illness & Injury", "The State", "Healthcare structures", "Diet & Food", "Medical Specialities", "Economy", "Food production", "Health communication", "Family" and "Other". The most prevalent themes were "Research & Science" and "Illness & Injury" accounting for 21.04% and 17.92% of all topics across all ccTLDs and provider types, respectively. Our readability analysis reveals that the majority of the collected web sites is structurally difficult or very difficult to read: 84.63% (2539/3000) scored a WSTF ≥ 12, 89.70% (2691/3000) scored a FRE ≤ 49. Moreover, our vocabulary analysis shows that 44.00% (1320/3000) web sites use vocabulary that is well suited for a lay audience.

CONCLUSIONS

We were able to identify major information hubs as well as topics and themes within the sGHW. Results indicate that the readability within the sGHW is low. As a consequence, patients may face barriers, even though the vocabulary used seems appropriate from a medical perspective. In future work, the authors intend to extend their analyses to identify trustworthy health information web sites.

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.

Testing reliability and validity of the Vietnamese version of the eHealth literacy scale (eHEALS) among medical students in Vietnam

BACKGROUND

In the context of COVID-19 pandemic, eHealth Literacy is important and essential for healthcare workers, especially medical students; eHealth Literacy Scale (eHEALS) was developed to measured eHealth literacy of individuals, with higher eHEALS scores indicated greater ehealth literacy.

OBJECTIVES

The study evaluates the reliability and validity of Vietnamese version of eHEALS and analyzed some factors affecting on eHEALS score among Hanoi Medical University students in Vietnam.

METHODS

A cross-sectional study design was adopted, and data were elicited from 494 medical students. Exploratory Factor Analysis (EFA); Cronbach's alpha and correlation coefficients; split-half assessment; Poisson regression analysis were applied.

RESULTS

The total score of our subjects in the eHEALS was 30.34 ± 4.57. The results from Bartlett's test, Kaiser-Meyer-Olkin (KMO) test, calculated Cronbach's alpha coefficient and test-retest reliability were high. Poisson regression identified that eHEALS scores of participants was significantly associated with device, ongoing medical condition and trustworthiness of health information source (p < 0.05).

DISCUSSION

Our study helps researchers who conduct studies in eHealth develop optimal applied and intervention researches in subjects with medical knowledge. Additional studies need to be required with numerous different groups of people in Vietnam.

CONCLUSION

The Vietnamese version of eHEALS is a reliable and valid measure. Device, medical condition and trustworthiness of health information source are factors affecting on eHEALS score of students in Hanoi Medical University.

Research on Influencing Factors of Satisfaction with the Use of Public Health Internet Platform: Evidence from Ding Xiang Doctor (DXY) Internet Medical Platform

With the rapid development of Internet information technology, Internet medical platforms are gradually entering daily life. Especially after the outbreak of the COVID-19 pandemic, it becomes very difficult for patients to go out for medical treatment, and the Internet medical platform plays an important role. The study of the use and influencing factors of Internet medical platforms has become a new topic. In this study, evidence from the Chinese Internet medical platform Ding Xiang Doctor(DXY) is combined with an integrated approach of hierarchical analysis and the entropy value method to construct evaluation indexes and questionnaires from four dimensions of perceived quality, perceived value, user trust, and user involvement to analyze the factors influencing users' satisfaction with Internet medical platforms. The questionnaires were distributed online, and 556 questionnaires were distributed from June to August 2022; 520 questionnaires were collected; the questionnaires' recovery rate was 93.53%; after excluding some invalid questionnaires, 424 questionnaires remained; the questionnaire efficiency was 81.54%; the Cronbach coefficient was 0.978; the KMO(Kaiser-Meyer-Olkin) value was 0.977; and the reliability performance was good. The study concluded that: (1) Users pay more attention to the content of perceived value, including the cost of time, economy, expense, and effort spent, and emphasize the degree of personal benefit. (2) Users are less satisfied with the information accessibility, design aesthetics, information timeliness, information comprehensiveness, and classification clarity of the DXY platform. (3) Users pay most attention to the protection of personal privacy by the platform side in the dimension of perceived value. (4) Users' trust in the platform is relatively high, their willingness to use the platform in the future is strong, and the dimensions of online interactive discussion, willingness to pay, and paid services are highly recognized.

Online Health Information Seeking: An Italian Case Study for Analyzing Citizens' Behavior and Perception

This study aims to understand people's behavior when searching for online health information (and COVID-19 information) and their perception of the trustworthiness and credibility of the searched information, the actors, and sources used to obtain it. A questionnaire addressed to people who permanently live in Italy between ages 19 and 60 has been used to collect data. Data extracted from the analysis are reassuring from the point of view of trust and credibility both in the actors and in the sources used to obtain information on health and COVID-19. A correlation between the analyzed individual features, the online health information-seeking behavior, and perception resulted from the analysis. The study also underlined a positive correlation between the perception of the influence of information on the knowledge of health problems and the ability to identify false online health information, and between the experience in detecting false health online information and the ability to detect it. Finally, a positive correlation also resulted between the experience in finding online health information and the experience in finding false COVID-19 information.

Health-related social media use and COVID-19 anxiety in adolescence: health anxiety as covariate and moderator

Background

Adolescents can benefit from engagement with health-related content on social media (e.g., viewing, commenting, or sharing content related to diseases, prevention, or healthy lifestyle). Nevertheless, such content may be distressing or exaggerated and present a challenge to mental well-being, especially during the COVID-19 pandemic. Rumination about such content may lead to COVID-19 anxiety. Yet, the individual factors that would explain the association between health-related social media use (SMU) and COVID-19 anxiety are understudied.

Objective

In the current study, we aimed to fill the gap by investigating the association between health-related social media use (SMU) and COVID-19 anxiety in light of several individual factors: health anxiety, eHealth literacy, and mild and severe experience with COVID-19 infection. We (1) studied the relationship between individual factors and health-related SMU, (2) tested health anxiety as a moderator in the association between health-related SMU and COVID-19 anxiety, and (3) explored a direct effect of experience with COVID-19 on COVID-19 anxiety.

Methods

Using structural equation modeling, we analyzed cross-sectional data from a representative sample of 2,500 Czech adolescents aged 11-16, 50% girls. Sociodemographic measures, health-related SMU, COVIDCOVID-19 anxiety, health anxiety, eHealth literacy, and mild and severe experience with COVID-19 infection were assessed with an anonymous online survey. The data were collected in June 2021.

Results

We conducted a path analysis to test the main relationships and an additional simple-slopes analysis to explore the moderating effect of health anxiety. Higher health anxiety and eHealth literacy were associated with increased health-related SMU. The effect of experience with COVID-19 infection on both COVID-19 anxiety and health-related SMU was negligible. Health-related SMU and COVID-19 anxiety were positively associated, however, only for adolescents high in health anxiety. For other adolescents, the two variables were unrelated.

Conclusion

Our findings show that adolescents with higher health anxiety and eHealth literacy engage in health-related SMU more intensively. Furthermore, for adolescents high in health anxiety, the frequency of health-related SMU is associated with the risk of COVID-19 anxiety. This is likely due to differences in media use. Adolescents with high health anxiety may use social media for content that is more likely to lead to COVID-19 anxiety compared to other adolescents. We recommend focusing on the identification of such content, which may lead to more precise recommendations regarding health-related SMU compared to cut-back on the frequency of overall SMU.

Coping with mental health issues via communicative action in the digital age: testing cybercoping models

BACKGROUND

Mental health issues have become critical social problems around the world. Individuals who are suffering from mental health problems tend to obtain health information and social support in the digital media environment. However, there has been little research on how information-seeking and information-forwarding behaviors affect sufferers' coping processes and outcomes. Based on communicative behaviors of people in online to solve health problmes, this study aims to apply two cybercoping modes proposed by previous reserach to mental health issues.

METHOD

Using anxiety and depression issues, this study conducted an online survey (N = 560) to examine two cybercoping models with data collected from an online crowdsourcing platform (Amazon's Mechanical Turk). Structural equation modeling (SEM) was conducted to test the cybercoping models in the context of mental health issues.

RESULTS

Results of the first cybercoping model showed that information seeking was positively associated with coping outcomes, whereas information forwarding was not significant. While information seeking in the second cybercoping model was significantly associated with other factors, information forwarding was not significant. The second model revealed that coping processes fully mediate between information seeking and cybercoping outcomes.

CONCLUSIONS

This study contributes to the theoretical building of cybercoping models in the context of mental health issues by illustrating the effects of information seeking on cybercoping outcomes. Health care practitioners may use these results to better understand which communicative processes in online mental health communication are positively associated with specific coping processes and outcomes.

Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes

Background

The internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information.

Aims

The aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes.

Methods

An instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed.

Results

An expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach’s alpha and omega values were excellent for each factor (0.87–0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size.

Conclusion

A new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test–retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-022-01062-2.

A Community-Based Participatory Research Approach to Developing and Testing Social and Behavioural Interventions to Reduce the Spread of SARS-CoV-2: A Protocol for the 'COPAR for COVID' Programme of Research with Five Interconnected Studies in the Hong Kong Context

BACKGROUND

While a number of population preventive measures for COVID-19 exist that help to decrease the spread of the virus in the community, there are still many areas in preventative efforts that need improvement or refinement, particularly as new strains of the virus develop. Some of the key issues currently include incorrect and/or inconsistent use of face masks, low acceptance of early screening or vaccination for COVID-19, vaccine hesitance, and misinformation. This is particularly the case in some vulnerable populations, such as older people with chronic illnesses, ethnic minorities who may not speak the mainstream language well and children. The current protocol introduces a large programme of research through five interrelated studies that all focus on social and behavioural interventions to improve different aspects of community-related preventative indicators. Hence, the specific objectives of the overall programme are to (1) increase early testing for COVID-19 and promote the uptake of COVID-19 vaccines in the community (Study 1); (2) increase COVID-19-related health literacy and vaccine literacy and promote improved preventative measures in minority ethnic groups, chronically ill populations and caregivers (Study 2); (3) strengthen the public's motivation to stay at home and avoid nonessential high-risk activities (Study 3); (4) decrease COVID-19 vaccine hesitancy (Study 4); and (5) enhance the adherence to COVID-19-related hygiene practices and the uptake of early testing in school children (Study 5).

METHODS

We will utilise a community-based participatory research (CBPR) approach in the proposed studies. All studies will incorporate an intervention development phase in conjunction with key community stakeholders, a feasibility study and an execution stage. A variety of self-reported and objective-based measures will be used to assess various outcomes, based on the focus of each study, in both the short- and long-term, including, for example, the 8-item self-reported eHealth Literacy Scale (eHEAL) and objective measures such as vaccine uptake.

DISCUSSION

Theory-driven interventions will address each study's focus (e.g., social distancing, promotion of vaccine uptake, eHealth education, preventive measures and early detection). Improvements are expected to be seen in the outcomes of vulnerable and high-risk groups. Decreased infection rates are expected due to improved preventative behaviours and increased vaccine uptake. Long-term sustainability of the approach will be achieved through the CBPR model. The publication of this protocol can assist not only in sharing a large-scale and complex community-based design, but will also allow all to learn from this, so that we will have better insight in the future whether sharing of study designs can elicit timely research initiatives.

Efficacy, Usability, and Acceptability of a Chatbot for Promoting COVID-19 Vaccination in Unvaccinated or Booster-Hesitant Young Adults: Pre-Post Pilot Study

Background

COVID-19 vaccines are highly effective in preventing severe disease and death but are underused. Interventions to address COVID-19 vaccine hesitancy are paramount to reducing the burden of COVID-19.

Objective

We aimed to evaluate the preliminary efficacy, usability, and acceptability of a chatbot for promoting COVID-19 vaccination and examine the factors associated with COVID-19 vaccine hesitancy.

Methods

In November 2021, we conducted a pre-post pilot study to evaluate “Vac Chat, Fact Check,” a web-based chatbot for promoting COVID-19 vaccination. We conducted a web-based survey (N=290) on COVID-19 vaccination at a university in Hong Kong. A subset of 46 participants who were either unvaccinated (n=22) or were vaccinated but hesitant to receive boosters (n=24) were selected and given access to the chatbot for a 7-day trial period. The chatbot provided information about COVID-19 vaccination (eg, efficacy and common side effects), debunked common myths about the vaccine, and included a decision aid for selecting vaccine platforms (inactivated and mRNA vaccines). The main efficacy outcome was changes in the COVID-19 Vaccine Hesitancy Scale (VHS) score (range 9-45) from preintervention (web-based survey) to postintervention (immediately posttrial). Other efficacy outcomes included changes in intention to vaccinate or receive boosters and willingness to encourage others to vaccinate on a scale from 1 (not at all) to 5 (very). Usability was assessed by the System Usability Scale (range 0-100). Linear regression was used to examine the factors associated with COVID-19 VHS scores in all survey respondents.

Results

The mean (SD) age of all survey respondents was 21.4 (6.3) years, and 61% (177/290) of respondents were female. Higher eHealth literacy (B=–0.26; P<.001) and perceived danger of COVID-19 (B=–0.17; P=.009) were associated with lower COVID-19 vaccine hesitancy, adjusting for age, sex, chronic disease status, previous flu vaccination, and perceived susceptibility to COVID-19. The main efficacy outcome of COVID-19 VHS score significantly decreased from 28.6 (preintervention) to 24.5 (postintervention), with a mean difference of –4.2 (P<.001) and an effect size (Cohen d) of 0.94. The intention to vaccinate increased from 3.0 to 3.9 (P<.001) in unvaccinated participants, whereas the intention to receive boosters increased from 1.9 to 2.8 (P<.001) in booster-hesitant participants. Willingness to encourage others to vaccinate increased from 2.7 to 3.0 (P=.04). At postintervention, the median (IQR) System Usability Scale score was 72.5 (65-77.5), whereas the median (IQR) recommendation score was 7 (6-8) on a scale from 0 to 10. In a post hoc 4-month follow-up, 82% (18/22) of initially unvaccinated participants reported having received the COVID-19 vaccine, whereas 29% (7/24) of booster-hesitant participants received boosters.

Conclusions

This pilot study provided initial evidence to support the efficacy, usability, and acceptability of a chatbot for promoting COVID-19 vaccination in young adults who were unvaccinated or booster-hesitant.

Patient requests for radiological services: An Australian study of patient agency and the impact of online health information

ISSUE ADDRESSED

The Internet has been instrumental in patients' knowledge about health and medicine through increasing consultation of online sources that advocate self-management. For example, those patients who request referrals from their doctors for tests and procedures in radiology. Such patient-initiated referral requests can devolutionise the traditional model of health care. This study aimed to understand individuals who sought online health information (OHI) and whether requests for radiological referrals were the result of OHI seeking.

METHODS

The individuals targeted were those who have had a radiological procedure in the past 5 years. Using an online survey tool, individuals completed a 20-min anonymous survey. Included in the survey was a validated digital health literacy measurement scale, eHEALS.

RESULTS

Those who scored higher on the eHEALS measure were likely to be under 55 years of age and were more inclined to request radiological referrals. Though they were not concerned with the credibility of sourced websites, most secured the desired outcome from their requests.

CONCLUSION

Overall, this study indicates that patients are consulting online sites for health information, and individuals with higher digital literacy scores are asking doctors for referrals for radiological tests and procedures. These findings confirm our anecdotal experience in radiology departments. So what?: In conducting this study, we hope to better inform radiology and other health practitioners of the way OHI is impacting clinical practice.

The Longitudinal Relationship Between eHealth Literacy, Health-Promoting Lifestyles, and Health-Related Quality of Life Among College Students: A Cross-Lagged Analysis

Objectives

This study aimed to explore the longitudinal associations between eHealth literacy, health-promoting lifestyles, and health-related quality of life (HRQoL) among college students.

Methods

From December 2019 (T1) to December 2020 (T2), we administered the eHealth literacy scale, Short-Form Health Survey (SF-12), and Short-Form Health-Promoting Lifestyle Profile Scale to 1,181 college students in Jinan, China. Participants were recruited for 12 months for the two-stage survey.

Results

Stable positive correlations were shown between eHealth literacy, health-promoting lifestyles, and HRQoL across time. The cross-lagged analysis showed that eHealth literacy at T1 predicted health-promoting lifestyles at T2 (β = 0.080, P = 0.006); however, health-promoting lifestyles at T1 did not predict eHealth literacy at T2 (β = −0.026, P = 0.499). HRQoL at T1 predicted health-promoting lifestyles at T2 (β = 0.147, P < 0.001); however, similar to the eHealth literacy finding, health-promoting lifestyles at T1 did not predict HRQoL at T2 (β = 0.045, P = 0.142). eHealth literacy was also bi-directionally associated with HRQoL, and the prediction effect of eHealth literacy at T1 to HRQoL at T2 (β = 0.078, P = 0.008) was slightly higher than the prediction effect of HRQoL at T1 to eHealth literacy at T2 (β = 0.074, P = 0.023).

Conclusion

eHealth literacy and HRQoL may be antecedents for college students' health-promoting lifestyles. There may be significant bi-directional relationships between eHealth literacy and HRQoL.

Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments

Online healthcare portals have become prevalent worldwide in recent years. One common form of healthcare portal is the online consultation website, which provides a bridge between patients and doctors and reduces patients’ time and cost when seeking healthcare services. Another form is the healthcare service appointment website, which facilitates offline visits for patients. Though nominally separate, the behaviors of the users (including patients and doctors) on these two types of websites could be related to each other. In particular, how does opening online consultation services impact the offline appointments of doctors? Although this is an important question for healthcare portals, doctors, and policy makers, it has not been rigorously examined in the literature. We examine the overall impact of opening online consultation services on offline appointments and show that the number of offline appointments for doctors increases after opening online consultation services. Given that online consultation is a new but important way to connect patients and doctors, our findings provide useful implications for all the stakeholders—doctors, patients, hospitals, and policy makers—regarding how to integrate online and offline channels in the healthcare context.

Quality of Internet Videos Related to Pediatric Urology in Mainland China: A Cross-Sectional Study

Background

Pediatric urological diseases pose serious threats to children's physical and mental health. The COVID-19 pandemic has resulted in poor pediatric outcomes for cryptorchidism, hypospadias, and testicular torsion. Presently, many people tend to seek health information via social media platforms. This study aims to quantitatively assess the quality of videos as an information source for pediatric urology in mainland China.

Methods

In this cross-sectional study, a search was performed on social media platforms (Tiktok, Bilibili, and Weibo) with the search terms “cryptorchidism”, “hypospadias”, and “testicular torsion”. The first 30 results with any search term listed by relevance were selected in each platform. Video features (duration, number of likes, comments, and shares) and video sources were collected. Each video included in the study was assessed using DISCERN, Journal of the American Medical Association (JAMA) Benchmark Criteria, and Hexagonal Radar Schema. A correlation analysis was performed considering video features, video source, DISCERN scores and JAMA scores.

Results

A total of 152 videos were included and analyzed. The majority of videos were from physicians (65.8%). According to the DISCERN classification, most videos were rated as “very poor” (48.0%) and “poor” (36.8%). The mean DISCERN and JAMA scores were 36.56 and 2.68, respectively. The duration of videos uploaded by physicians was the shortest (P < 0.001). The video source had no relevance to numbers of “likes”, “comments”, “shares”, DISCERN scores, and JAMA scores (all P-values > 0.05). Other than video duration (P < 0.001), there was no statistically significant difference between groups for any of the recorded or calculated video data (all P values > 0.05). Hexagonal Radar Charts showed the severe imbalance and deficiency of video information. In general, Tiktok videos with the shortest duration received the most numbers of “likes”, “comments”, and “shares”, whereas the overall quality of videos on Weibo was relatively high.

Conclusions

Despite most of the videos on social media platforms being uploaded by medical authors, the overall quality was poor. The misleading, inaccurate and incomplete information may pose a health risk to the viewers, especially during the COVID-19 pandemic. Much effort needs to be undertaken to improve the quality of health-related videos regarding pediatric urology.

Health information seeking and sharing behavior of young adults on social media in Pakistan

Social media such as Facebook, YouTube, WhatsApp, and Twitter have radically enhanced the public access to health information. Still, studies have unexplored the factors that contribute toward such behaviors especially in developing countries. Therefore, this study identifies the factors that contribute to the likelihood of young adults’ health information seeking and sharing on social media. Specifically, drawing upon health belief model (HBM), the study attempts to understand how health belief and e-Health literacy affects health information seeking and sharing on social media. The study collected data from 413 young adults through Google Forms on a random basis. The results generated applying structural equation modeling confirmed that HBM related factors such as perceived susceptibility, perceived severity and perceived benefits positively while perceived barriers negatively influence young adults’ health information seeking and sharing intentions on social media. Furthermore, e-Health literacy was positively associated with health information seeking and sharing intentions on social media. This study is amongst a first few studies in the context of developing world to investigate the young adults’ intentions of seeking and sharing health information on social media based on HBM.

Health Literacy Needs Among Unemployed Persons: Collating Evidence Through Triangulation of Interview and Scoping Review Data

Background

Unemployed persons are at high risk for low health literacy. Most studies addressing health literacy of unemployed persons focus on risk factors for low health literacy or correlates of health literacy, but studies on needs of unemployed persons regarding health literacy are scarce. We aimed to obtain better understanding of health literacy needs of unemployed adults by triangulating the results from a scoping review on health literacy needs in unemployed adults and additional in-depth qualitative interviews.

Methods

Scoping review: We searched six databases up to January 2021 as well as gray literature for relevant studies following PRISMA-ScR guidelines. Titles, abstracts, and full texts were screened independently by two researchers. Qualitative study: Ten participants of a job-reintegration program in Germany were interviewed following a guideline covering topics including health issues of interest to the participants, their sources of health-related information and the barriers/facilitators they experience when accessing health services.

Results

Scoping review: After screening 2,966 titles and abstracts, 36 full texts were considered, and five articles fulfilled the inclusion criteria. Four focused on mental health literacy and outcomes, while the fifth assessed information-seeking practices. One additional report on health literacy was identified via the gray literature search. Awareness of one's condition was identified as a facilitator for mental health help-seeking, while fear of harmful effects of medication prevented help-seeking. Qualitative study: Participants were interested in and were generally well-informed about health topics such as nutrition and physical activity. The main challenge perceived was translating the knowledge into practice in daily life. GPs and the social services providers played an important role as a source of health information and advice. Regarding mental health, similar barriers, facilitators and needs were identified through triangulation of findings of the scoping review with those of the interviews.

Conclusions

There is need to address health literacy needs of long-term unemployed persons that go beyond mental health literacy. Public health interventions should not only aim at improving health literacy scores, but also focus on how to help participants translate health literacy into practice. Population groups of interest should also be involved in all processes of designing interventions.

Sharing Online Health Information With Physicians: Understanding the Associations Among Patient Characteristics, Directness of Sharing, and Physician-Patient Relationship

Patients increasingly share online health information with their physicians. However, few studies have investigated factors that may facilitate or inhibit such sharing and subsequent impact on physician-patient relationship. This study conducted a cross-sectional survey among 818 Chinese patients to examine if two patient characteristics -communication apprehension and eHealth literacy- influence their ways of sharing online health information with physicians and subsequently impact physician-patient relationship. The results showed that a majority of surveyed participants searched health information online, and about half of them used such information during their doctor visits. Less apprehensive patients tend to share the information with their physicians more directly, which can positively affect perceived physician reactions and patient satisfaction. eHealth literacy, however, is not found to be associated with patients’ sharing of online information with physicians. This study underscores the importance of identifying patient characteristic’s role in patient-physician interaction.