Consumer Use of "Dr Google": A Survey on Health Information-Seeking Behaviors and Navigational Needs

Medical Image sharing: What do the public see when reviewing radiographs? A pilot study

INTRODUCTION

Policymakers wish to extend access to medical records, including medical imaging. Appreciating how patients might review radiographs could be key to establishing future training needs for healthcare professionals and how image sharing could be integrated into practice.

METHOD

A pilot study in the UK using a survey was distributed to adult participants via the online research platform Prolific. All subjects were without prior professional healthcare experience. Participants reviewed ten radiographs (single projection only) and were asked a two-stage question. Firstly, if the radiograph was 'normal' or 'abnormal' and secondly, if they had answered 'abnormal', to identify the abnormality from a pre-determined list featuring generic terms for pathologies.

RESULTS

Fifty participants completed the survey. A mean of 65.8 % of participants were able to correctly identify if radiographs were normal or abnormal. Results in relation to the identification of a pathology were not as positive, but still notable with a mean of 46.4 % correctly identifying abnormalities. Qualitative data demonstrated that members of the public are enthralled with reviewing radiographs and intrigued to understand their performance in identifying abnormalities.

CONCLUSION

In the pilot, members of the public could identify if a radiograph is normal or abnormal to a reasonable standard. Further detailed interpretation of images requires supportive intervention. This pilot study suggests that patients can participate in image sharing as part of their care. Image sharing may be beneficial to the therapeutic relationship, aiding patient understanding and enhancing consultations between healthcare professional and patient. Further research is indicated.

Patient experiences of information-sharing and patient-centred care across the broad landscape of primary care practice and provision: a nationally representative survey of Australian adults

BACKGROUND

Australian government strategies and frameworks have been developed in recent years to encourage the integration and coordination of primary care delivery; including patient-centred approaches to clinical and preventative care, and health promotion. This study aims to explore patient experiences of information-sharing and patient-centred care across various primary care clinical settings, with a particular focus on clinical encounters with GPs, naturopaths, osteopaths and acupuncturists.

METHODS

Data about healthcare utilisation and experiences from a 63-item cross-sectional survey obtained from a nationally representative sample of Australian adults aged ≥ 18 years were analysed. Chi-square and Kruskal-Wallis H tests were used to explore differences in the experiences of knowledge and information sharing during GP consultations among those who also consulted with a naturopath, osteopath or acupuncturist, compared those who had not. Logistic regression was used to investigate correlations between participants perceptions about GP consultation outcomes, and the GP's information-sharing behaviour or perceived experience of patient-centredness.

RESULTS

Across 2354 participants, verbal explanation (76.3%) and/or individualised handouts (16.8%) were the most common type of information shared in GP consultations. Individuals who consulted with a GP and a naturopath, an osteopath, or an acupuncturist reported a lower rate of receiving a verbal explanation from their GP but higher rate of receiving other types of information sources including handouts. Over one quarter of study participants who visited a GP did not discuss any of their health information with their GP. Information sharing was lower for individuals who also visited a naturopath, osteopath or acupuncturist. Participants scored their consultations with a GP as patient-centred, but these scores were lower among participants who also consulted with at least one other primary care practitioner type included in the study.

CONCLUSIONS

Public health and health services researchers, policymakers and leaders of primary care professions have a role and responsibility to ensure practitioners are confident and competent in sharing health information with their patients that considers their health literacy needs, and the importance of patient-centred care. Research focussed on a more in-depth understanding of the differences and relationships observed across the primary care landscape in this study is recommended.

Dr. Google vs. Dr. ChatGPT: Exploring the Use of Artificial Intelligence in Ophthalmology by Comparing the Accuracy, Safety, and Readability of Responses to Frequently Asked Patient Questions Regarding Cataracts and Cataract Surgery

PURPOSE

Patients are using online search modalities to learn about their eye health. While Google remains the most popular search engine, the use of large language models (LLMs) like ChatGPT has increased. Cataract surgery is the most common surgical procedure in the US, and there is limited data on the quality of online information that populates after searches related to cataract surgery on search engines such as Google and LLM platforms such as ChatGPT. We identified the most common patient frequently asked questions (FAQs) about cataracts and cataract surgery and evaluated the accuracy, safety, and readability of the answers to these questions provided by both Google and ChatGPT. We demonstrated the utility of ChatGPT in writing notes and creating patient education materials.

METHODS

The top 20 FAQs related to cataracts and cataract surgery were recorded from Google. Responses to the questions provided by Google and ChatGPT were evaluated by a panel of ophthalmologists for accuracy and safety. Evaluators were also asked to distinguish between Google and LLM chatbot answers. Five validated readability indices were used to assess the readability of responses. ChatGPT was instructed to generate operative notes, post-operative instructions, and customizable patient education materials according to specific readability criteria.

RESULTS

Responses to 20 patient FAQs generated by ChatGPT were significantly longer and written at a higher reading level than responses provided by Google (p < .001), with an average grade level of 14.8 (college level). Expert reviewers were correctly able to distinguish between a human-reviewed and chatbot generated response an average of 31% of the time. Google answers contained incorrect or inappropriate material 27% of the time, compared with 6% of LLM generated answers (p < .001). When expert reviewers were asked to compare the responses directly, chatbot responses were favored (66%).

CONCLUSIONS

When comparing the responses to patients' cataract FAQs provided by ChatGPT and Google, practicing ophthalmologists overwhelming preferred ChatGPT responses. LLM chatbot responses were less likely to contain inaccurate information. ChatGPT represents a viable information source for eye health for patients with higher health literacy. ChatGPT may also be used by ophthalmologists to create customizable patient education materials for patients with varying health literacy.

Online Health Information Seeking and Preventative Health Actions: Cross-Generational Online Survey Study

BACKGROUND

The popularity of online health information seeking (OHIS) has increased significantly owing to its accessibility and affordability. To facilitate better health management, it is essential to comprehend the generational differences in OHIS behavior and preventative health actions after seeking online health information (OHI).

OBJECTIVE

This study investigates the variations in OHIS and engagement in preventative health actions between 2 generations based on their technology use (digital natives [aged 18-42 years] and digital immigrants [aged ≥43 years]). Additionally, this research explores the mediating role of OHIS types on the generational effect on preventative health actions and the moderating role of OHI search frequency, gender, and the presence of chronic diseases on the generational effect on OHIS types and preventative health actions.

METHODS

A preregistered online survey was conducted on the Prolific online data collection platform using stratified sampling of 2 generations (digital natives and digital immigrants) from the United States in November 2023. Overall, 3 types of OHIS were collected: health wellness information search, health guidance information search, and health management information search. A 1-way analysis of covariance tested the generational differences in types of OHIS and preventative health actions, and a 2-way analysis of covariance tested the moderating role of OHIS search frequency, gender, and the presence of chronic diseases using 7 control variables. The PROCESS Macro Model 4 was used to conduct mediation analyses, testing OHI search types as mediators. Linear regression analyses tested age as a predictor of OHIS and preventative health actions.

RESULTS

The analysis of 1137 responses revealed generational differences in OHIS. Digital natives searched for health wellness information more frequently (P<.001), whereas digital immigrants searched for health guidance (P<.001) and health management information (P=.001) more frequently. There were no significant differences between the 2 generations regarding preventative health actions (P=.85). Moreover, all 3 types of OHIS mediated the relationship between generational differences and preventative health actions. Furthermore, as people aged, they searched for significantly less health wellness information (P<.001) and more health guidance (P<.001), and health management information (P=.003). Age was not a significant predictor of preventative health actions (P=.48). The frequency of OHI searches did not moderate the effect of generations on OHIS types and preventative health actions. Gender only moderated the relationship between generation and health guidance information search (P=.02), and chronic diseases only moderated the relationship between generation and health wellness information search (P=.03).

CONCLUSIONS

To the best of our knowledge, this study is the first to explore how 2 digital generations vary in terms of searching for OHI and preventative health behaviors. As the older adult population grows, it is crucial to understand their OHIS behavior and how they engage in preventative health actions to enhance their quality of life.

ChatGPT's Performance on the Hand Surgery Self-Assessment Exam: A Critical Analysis

Purpose

To assess the performance of Chat Generative Pre-Trained Transformer (ChatGPT) when answering self-assessment exam questions in hand surgery and to compare correct results for text-only questions to those for questions that included images.

Methods

This study used 10 self-assessment exams from 2004 to 2013 provided by the American Society for Surgery of the Hand (ASSH). ChatGPT's performance on text-only questions and image-based questions was compared. The primary outcomes were ChatGPT's total score, score on text-only questions, and score on image-based questions. The secondary outcomes were the proportion of questions for which ChatGPT provided additional explanations, the length of those elaborations, and the number of questions for which ChatGPT provided answers with certainty.

Results

Out of 1,583 questions, ChatGPT answered 573 (36.2%) correct. ChatGPT performed better on text-only questions than image-based questions. Out of 1,127 text-only questions, ChatGPT answered 442 (39.2%) correctly. Out of the 456 image-based questions, it answered 131 (28.7%) correctly. There was no difference between the proportion of elaborations among text-only and image-based questions. Although there was no difference between the length of elaborations for questions ChatGPT got correct and incorrect, the length of elaborations provided for image-based questions were longer than those provided for text-only questions. Out of 1,441 confident answers, 548 (38.0%) were correct; out of 142 unconfident answers, 25 (17.6%) were correct.

Conclusions

ChatGPT performed poorly on the ASSH self-assessment exams from 2004 to 2013. It performed better on text-only questions. Even with its highest score of 42% for the year 2012, the AI platform would not have received continuing medical education credit from ASSH or the American Board of Surgery. Even when only considering questions without images, ChatGPT's high score of 44% correct would not have "passed" the examination.

Clinical relevance

At this time, medical professionals, trainees, and patients should use ChatGPT with caution as the program has not yet developed proficiency with hand subspecialty knowledge.

High-Quality eHealth Websites for Information on Endometriosis: Systematic Search

BACKGROUND

eHealth websites are increasingly being used by community members to obtain information about endometriosis. Additionally, clinicians can use these websites to enhance their understanding of the condition and refer patients to these websites. However, poor-quality information can adversely impact users. Therefore, a critical evaluation is needed to assess and recommend high-quality endometriosis websites.

OBJECTIVE

This study aimed to evaluate the quality and provide recommendations for high-quality endometriosis eHealth websites for the community and clinicians.

METHODS

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines informed 2 Google searches of international and Australian eHealth websites. The first search string used the terms "endometriosis," "adenomyosis," or "pelvic pain," whereas "Australia" was added to the second search string. Only free eHealth websites in English were included. ENLIGHT, a validated tool, was used to assess the quality across 7 domains such as usability, visual design, user engagement, content, therapeutic persuasiveness, therapeutic alliance, and general subjective evaluation. Websites with a total score of 3.5 or more were classified as "good" according to the ENLIGHT scoring system and are recommended as high-quality eHealth websites for information on endometriosis.

RESULTS

In total, 117 eHealth websites were screened, and 80 were included in the quality assessment. Four high-quality eHealth websites (ie, those that scored 3.5 or more) were identified (Endometriosis Australia Facebook Page, Endometriosis UK, National Action Plan for Endometriosis on EndoActive, and Adenomyosis by the Medical Republic). These websites provided easily understood, engaging, and accurate information. Adenomyosis by the Medical Republic can be used as a resource in clinical practice. Most eHealth websites scored well, 3.5 or more in the domains of usability (n=76, 95%), visual design (n=64, 80%), and content (n=63, 79%). However, of the 63 websites, only 25 provided references and 26 provided authorship details. Few eHealth websites scored well on user engagement (n=18, 23%), therapeutic persuasiveness (n=2, 3%), and therapeutic alliance (n=22, 28%). In total, 30 (38%) eHealth websites scored well on general subjective evaluation.

CONCLUSIONS

Although geographical location can influence the search results, we identified 4 high-quality endometriosis eHealth websites that can be recommended to the endometriosis community and clinicians. To improve quality, eHealth websites must provide evidence-based information with appropriate referencing and authorship. Factors that enhance usability, visual design, user engagement, therapeutic persuasiveness, and therapeutic alliance can lead to the successful and long-term uptake of eHealth websites. User engagement, therapeutic persuasiveness, and therapeutic alliance can be strengthened by sharing lived experiences and personal stories and by cocreating meaningful content for both the community and clinicians. Reach and discoverability can be improved by leveraging search engine optimization tools.

TRIAL REGISTRATION

PROSPERO CRD42020185475; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=185475&VersionID=2124365.

Patient initiated radiology requests: proof of wellness through images

BACKGROUND

Traditionally, general practitioners (GPs) have initiated the need for, and ordered, radiological tests. With the emergence of consumer-centred care, patients have started to request scans from doctors on their own initiative. Consumeristic health care has shifted the patient-doctor dyadic relationship, with GPs trending towards accommodating patients' requests.

METHODS

A mixed method analysis was conducted using a survey instrument with open ended questions and concurrent interviews to explore participants' responses from their requests for radiological studies from GPs. Themes emerging from both qualitative and quantitative methodologies were mapped onto the Andersen Newman Model (ANM).

RESULTS

Data were analysed for 'predisposing,' 'need' and 'enabling' elements of the ANM model and were correspondingly mapped to patient's requests for radiological referrals according to the elements of the ANM. Participants expressed anxiety about their health, were confident in the types of radiological scans they desired and typically indicated the need for evidence of good health. Their desire for such requested scans was often enabled through prior exposure to health information and the experience of specific symptoms. Requests came with the expectation of validation, and if these requests were denied, participants indicated that they would seek another doctor who would oblige.

CONCLUSIONS

In our modest study of Australian patients, participants were well informed about their health. Exposure to information seems to create a sense of anxiousness prior to visiting the doctor. Individuals sought visual proof of wellness through imaging, and doctors in return often accommodated patient requests for radiological studies to appease patients' needs and to maintain workflow.

What generative AI means for trust in health communications

ABSTRACTLarge language models are fundamental technologies used in interfaces like ChatGPT and are poised to change the way people access and make sense of health information. The speed of uptake and investment suggests that these will be transformative technologies, but it is not yet clear what the implications might be for health communications. In this viewpoint, we draw on research about the adoption of new information technologies to focus on the ways that generative artificial intelligence (AI) tools like large language models might change how health information is produced, what health information people see, how marketing and misinformation might be mixed with evidence, and what people trust. We conclude that transparency and explainability in this space must be carefully considered to avoid unanticipated consequences.

Information needs and preferences of patients with an ankle fracture: User involvement study creating an mHealth solution

OBJECTIVE

The aim of this study was to employ a user-driven participatory design (PD) approach to develop an mHealth solution that addresses patients' information needs after surgical or non-surgical treatment for an ankle fracture.

METHODS

Patients with an ankle fracture and health care professionals along the treatment pathway in both the hospital and municipality participated in four workshops (WS).

RESULTS

We found that patients with an ankle fracture need information on topics such as "a typical course," "bandages and assistive devices," "what can I feel," "what may I do," "what to usually worry about," "medicine," "tips and tricks," and "contact information." Moreover, patients requested diverse modes of dissemination, preferably a combination of text, timelines, pictures, animations, and videos. Alpha and beta testing of the digital platform was conducted, and content-related improvements were made. A readability analysis showed reading ease of 40.1 of 100, meaning that it should be easily understood by 15-16 year-olds.

CONCLUSION

Involving representatives of future users in creating this mHealth solution using PD demonstrates the benefits of creating a solution that aligns with users' needs.

PRACTICE IMPLICATIONS

The mHealth solution is now ready for implementation and large-scale evaluation in phase three of the overall PD study. An mHealth usability questionnaire will be employed to assess usability by future patients with surgically or non-surgically treated ankle fractures.

Information-seeking preferences in diverse patients receiving a genetic testing result in the Clinical Sequencing Evidence-Generating Research (CSER) study

PURPOSE

Accurate and understandable information after genetic testing is critical for patients, family members, and professionals alike.

METHODS

As part of a cross-site study from the Clinical Sequencing Evidence-Generating Research consortium, we investigated the information-seeking practices among patients and family members at 5 to 7 months after genetic testing results disclosure, assessing the perceived utility of a variety of information sources, such as family and friends, health care providers, support groups, and the internet.

RESULTS

We found that individuals placed a high value on information obtained from genetics professionals and health care workers, independent of genetic testing result case classifications as positive, inconclusive, or negative. The internet was also highly utilized and ranked. Study participants rated some information sources as more useful for positive results compared with inconclusive or negative outcomes, emphasizing that it may be difficult to identify helpful information for individuals receiving an uncertain or negative result. There were few data from non-English speakers, highlighting the need to develop strategies to reach this population.

CONCLUSION

Our study emphasizes the need for clinicians to provide accurate and comprehensible information to individuals from diverse populations after genetic testing.

Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models

The rising prevalence of diabetes and the increasing awareness of self-health management have resulted in a surge in diabetes patients seeking health information and emotional support in online health communities. Consequently, there is a vast database of patient consultation information in these online health communities. However, due to the heterogeneity and incompleteness of the content, mining medical information and patient health data from these communities can be a challenge. To address this issue, we built the RoBERTa-BiLSTM-CRF (RBC) model for identifying entities in the online health community of diabetes. We selected 1889 question-answer texts from the most active online health community in China, Good Doctor Online, and used these public data to identify five types of entities. In addition, we conducted a comparative evaluation with three other commonly used models to validate the performance of our proposed model, including RoBERTa-CRF (RC), BilSTM-CRF (BC), and RoBERTa-Softmax (RS). The results showed that the RBC model achieved excellent performance on the test set, with an accuracy of 81.2% and an F1 score of 80.7%, outperforming the performance of traditional entity recognition models in named entity recognition in online medical communities for doctors and diabetes patients. The high performance of entity recognition in online health communities will provide a crucial knowledge source for constructing medical knowledge graphs. This integration would help alleviate the growing demand for medical consultations and the strain on healthcare resources, while assisting healthcare professionals in making informed decisions and providing personalized services to patients.

An evaluation of the suitability, readability, quality, and usefulness of online resources for patients with cancer receiving immunotherapy

OBJECTIVE

To evaluate the suitability, readability, quality, and usefulness of available online resources about the side effects of immunotherapy.

METHODS

Resources were identified through online searches (Google, Microsoft Bing, and Yahoo search engines) and evaluated using the Suitability Assessment Materials (SAM), three readability formulae, the DISCERN tool (quality), and a checklist of symptom management strategies and self-management skills (usefulness). Hierarchical cluster analysis identified resources scoring highly for suitability and quality. Factors associated with the clusters were identified using Fischer's exact tests.

RESULTS

The 51 resources retained for evaluation were of low suitability and quality and exceeded recommended reading levels. Resources were lacking key features to support learning (e.g., illustrations) as well as information about the risks of treatments and the effect of treatments on quality of life. Few resources addressed key self-management skills of problem-solving and taking action. The cluster analysis identified "low" and "moderate" clusters for suitability and quality, and pamphlets and booklets were more likely to be in the moderate cluster as compared to webpages.

CONCLUSION

There is a lack of high-quality resources to support patients' learning to self-manage side effects of immunotherapy.

PRACTICE IMPLICATIONS

Results identify the best available online resources for self-managing side effects of immunotherapy and gaps for future work. Based on findings, a template for patient education materials was developed.

Online enquiries and health concerns - a survey of German general practitioners regarding experiences and strategies in patient care

Aim

Increasingly at GP practices, patients appear who are extremely worried as a result of health information researched online and consequently affected by doubts and concerns. The study highlights GP attitudes and experiences with regard to this patient group. Moreover, it identifies strategies adopted by GPs to respond appropriately to worried or scared patients.

Subject and methods

In the German federal states of Baden-Württemberg, Rhineland-Palatinate and Saarland, 2532 GPs were surveyed between June and August 2022. Owing to the explorative nature of the study, a descriptive analysis was conducted.

Results

Of the total respondents, 77% deemed the current problem of internet-related health concerns to be a major challenge in everyday practice. The implications affect patients' mental stability and expectations towards the doctor (esp. demand for further instrumental diagnosis, 83%). One doctor in five (20%) has experienced the termination of patient contact because the relationship with the patient was no longer possible due to the patient's uncontrolled online information behaviour. To respond to worried or scared patients, the respondents generally ask certain patient groups about online research (39%) and take this into account in the doctor-patient discussion (23%). Furthermore, the respondents use a detailed explanation of the diagnosis and/or treatment (65%) and recommend websites that they consider reputable (66%). Some of the doctors prefer a joint examination of the information researched by the patient (55%) as well as to explain the benefits and risks of online research (43%).

Conclusion

Many GPs demonstrate a high level of awareness and sensitivity with regard to extensive online research and potentially worried patients. It seems advisable to actively address the online search for information in the patient consultation to prevent possible negative effects on the doctor-patient relationship and to actively involve the patient. In this respect, it would also be worth considering expanding the medical history to include the dimension of online searching.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-023-01909-1.

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.

Voice Assistants as Consultants for Male Patients with Sexual Dysfunction: A Reliable Option?

The aim of this study was to evaluate the ability of Google Assistant, Alexa, and Siri to recognize and answer questions about male sexual health. Each VA was tested on a smart speaker: Alexa on Amazon Echo Dot 4th Gen., Google Assistant on Google Home Mini, and Siri on Apple HomePod. A pool of patients' frequently asked questions regarding erectile dysfunction (ED), premature ejaculation (PE), Peyronie's disease (PD), male infertility, and other aspects of male sexual health were identified by authors. The recognition of question was evaluated ("yes" or "not"). For each recognized question, the response characteristics (domains) were rated on a scale from 0 to 10 (according to the quality). We chose the recognition rate of the questions as the primary outcome and the quality of the answers as the secondary outcome. Overall, the best VA in recognizing questions was Siri, with a total of 83.3% questions compared with 64.0% for Alexa (p = 0.024) and 74.0% for Google Assistant (p = 0.061). Siri was associated with a significantly higher recognition rate than Alexa for PE (80% vs. 40%; p = 0.002) and PD (66.7% vs. 33.3%; p = 0.010). The quality of the responses was classified as low in 57 out of 105 cases (54.3%), intermediate in 46 cases (43.8%), and high in only 2 cases (1.9%), highlighting an overall intermediate-low quality of the answers. Male infertility was the condition associated with the highest mean scores in "Targeted response to the problem" (7.32 ± 2.57), "Scientific correctness of the answer", (5.9 ± 2.76) "Completeness of the answer" (5.14 ± 2.56), and "Understandability of the response for a patient" (5.3 ± 2.51) domains. Siri was associated with significantly higher scores than Alexa (p < 0.05) in several domains of all conditions evaluated. The question recognition rate of VAs is quite high; however, the quality of the answers is still intermediate-low. Siri seems superior to Alexa in both question recognition and response quality. Male infertility appears to be the sexual dysfunction best addressed by VAs.

The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis

BACKGROUND

With widespread use of the internet and mobile devices, many people have gained improved access to health-related information online for health promotion and disease management. As the health information acquired online can affect health-related behaviors, health care providers need to take into account how each individual's online health literacy (eHealth literacy) can affect health-related behaviors.

OBJECTIVE

To determine whether an individual's level of eHealth literacy affects actual health-related behaviors, the correlation between eHealth literacy and health-related behaviors was identified in an integrated manner through a systematic literature review and meta-analysis.

METHODS

The MEDLINE, Embase, Cochrane, KoreaMed, and Research Information Sharing Service databases were systematically searched for studies published up to March 19, 2021, which suggested the relationship between eHealth literacy and health-related behaviors. Studies were eligible if they were conducted with the general population, presented eHealth literacy according to validated tools, used no specific control condition, and measured health-related behaviors as the outcomes. A meta-analysis was performed on the studies that could be quantitatively synthesized using a random effect model. A pooled correlation coefficient was generated by integrating the correlation coefficients, and the risk of bias was assessed using the modified Newcastle-Ottawa Scale.

RESULTS

Among 1922 eHealth literacy-related papers, 29 studies suggesting an association between eHealth literacy and health-related behaviors were included. All retrieved studies were cross-sectional studies, and most of them used the eHealth Literacy Scale (eHEALS) as a measurement tool for eHealth literacy. Of the 29 studies, 22 presented positive associations between eHealth literacy and health-related behaviors. The meta-analysis was performed on 14 studies that presented the correlation coefficient for the relationship between eHealth literacy and health-related behaviors. When the meta-analysis was conducted by age, morbidity status, and type of health-related behavior, the pooled correlation coefficients were 0.37 (95% CI 0.29-0.44) for older adults (aged ≥65 years), 0.28 (95% CI 0.17-0.39) for individuals with diseases, and 0.36 (95% CI 0.27-0.41) for health-promoting behavior. The overall estimate of the correlation between eHealth literacy and health-related behaviors was 0.31 (95% CI 0.25-0.34), which indicated a moderate correlation between eHealth literacy and health-related behaviors.

CONCLUSIONS

Our results of a positive correlation between eHealth literacy and health-related behaviors indicate that eHealth literacy can be a mediator in the process by which health-related information leads to changes in health-related behaviors. Larger-scale studies with stronger validity are needed to evaluate the detailed relationship between the proficiency level of eHealth literacy and health-related behaviors for health promotion in the future.

Preparation of children for elective surgery and hospitalisation: A parental perspective

Parents play a central role in the preparation of their child for hospitalisation and surgery. This research examined the parental perspective on educating their child for an elective admission to hospital for surgery. The study employed a qualitative descriptive design and sampled eight parents from a private hospital in Dublin, Ireland, prior to their child's discharge, after ear, nose and throat surgery. A thematic analysis revealed four themes: how parents educate themselves about surgery and hospital, factors influencing parent's decisions on the quantity of information to share, sources of education about hospitalisation and aspects of hospitalisation not discussed by parents. Findings indicated that although the internet was used as a general source of information, parents relied more on information provided by the hospital. Parents used their child's age, individual needs and level of autonomy to determine what information to communicate. Specific areas that parents found difficult to communicate included pain and fasting. This research highlights the need for hospitals to invest and support the delivery of parental education for children prior to surgery. Clarification of the children's nurses' role in the development, implementation and evaluation of education programmes that support education delivery in the home by parents is also warranted.

Online Health Information Seeking Among Patients With Chronic Conditions: Integrating the Health Belief Model and Social Support Theory

BACKGROUND

Chronic diseases are the leading causes of death and disability. With the growing patient population and climbing health care expenditures, researchers and policy makers are seeking new approaches to improve the accessibility of health information on chronic diseases while lowering costs. Online health information sources can play a substantial role in effective patient education and health communication. However, some contradictory evidence suggests that patients with chronic conditions may not necessarily seek online health information.

OBJECTIVE

This study aims to integrate 2 theories (ie, the health belief model and social support theory) and a critical health literacy perspective to understand online health information seeking (OHIS) among patients with chronic conditions.

METHODS

We used the survey method to collect data from online chronic disease communities and groups on social media platforms. Eligible participants were consumers with at least 1 chronic condition and those who have experience with OHIS. A total of 390 valid questionnaires were collected. The partial least squares approach to structural equation modeling was employed to analyze the data.

RESULTS

The results suggested that perceived risk (t=3.989, P<.001) and perceived benefits (t=3.632, P<.001) significantly affected patients' OHIS. Perceived susceptibility (t=7.743, P<.001) and perceived severity (t=8.852, P<.001) were found to influence the perceived risk of chronic diseases significantly. Informational support (t=5.761, P<.001) and emotional support (t=5.748, P<.001) also impacted the perceived benefits of online sources for patients. In addition, moderation analysis showed that critical health literacy significantly moderated the link between perceived risk and OHIS (t=3.097, P=.002) but not the relationship between perceived benefits and OHIS (t=0.288, P=.774).

CONCLUSIONS

This study shows that the health belief model, when combined with social support theory, can predict patients' OHIS. The perceived susceptibility and severity can effectively explain perceived risk, further predicting patients' OHIS. Informational support and emotional support can contribute to perceived benefits, thereby positively affecting patients' OHIS. This study also demonstrated the important negative moderating effects of critical health literacy on the association between perceived risk and OHIS.

Use of Digital Technology as a Collaborative Tool among Nursing Students-Survey Study and Validation

BACKGROUND

This research aimed to develop a questionnaire to analyze perceived aspects of using digital technology among nursing students as a collaborative tool. We further sought to evaluate the psychometric reliability of the instrument.

METHODS

A cross-sectional observational study was performed using a questionnaire developed from scratch. Psychometric studies and univariate and bivariate analyses were performed.

RESULTS

132 nursing students participated. The exploratory and confirmatory analyses of the questionnaire excluded 4 of the initial 18 items and established four domains, and internal consistency was found. The mean global score of the answers to the questionnaire was 4.67 on a scale of 1-5 points, and all the domains obtained high scores. Men scored higher on the usefulness and the global score, while no differences were found regarding age.

CONCLUSIONS

Nursing students positively assess the use of digital technology as a collaborative tool, regardless of age. Digital technology as a collaborative tool is perceived as beneficial, improves their involvement, and allows nursing students to obtain a better knowledge of their partners. These findings can help develop group projects and tools based on technology to train future nursing professionals. The questionnaire developed is a valid tool to assess this.

Exploring low-income migrant workers' health information-seeking behavior during COVID-19 in Taiwan: A qualitative study

Background

COVID-19 pandemic is reported to exacerbate existing vulnerabilities of marginalized groups, and the lack of self-care can lead to the spread of the virus across society. Therefore, effective responses to the challenges imposed by the health crisis should consider the health information needs of migrant workers.

Objective

We aimed to explore how migrant low-income workers seek health information and how their health-related information needs were met during a health crisis. We also investigated migrant workers’ preferred information sources and types of content with the theoretical concept of health literacy to understand the development of health competencies among migrant workers.

Methods

We conducted semi-structured interviews with Thai low-income migrant workers. A total of 13 Thai migrant workers participated in the study, among whom five were undocumented. The interviews were audio-taped, transcribed, and analyzed with the thematic analysis approach.

Results

Our findings indicated that migrant workers’ health literacy and health information behavior could be improved through technology when facing a health crisis. We found that participants sought health information proactively to reduce their perceived risks. However, there is still space for design to support the ability to process jargon information and apply local policy, such as providing easy-to-understand, accurate, and timely information. The findings of this study provide some insights for the authority and technological design to respond to migrant workers’ health information needs.

Conclusions

This study acknowledges and understands the needs of vulnerable migrant workers in society. The findings of this study provide insights for the authority and technological design to respond to migrant workers’ health information needs. We also outline the areas worth further investigation, such as the communication between information seekers and providers, and the navigation of the healthcare system for migrants in the host country.

Empowerment through Mobile Apps: A Mixed Methods Case Study of an Application for Pregnant Women

This article analyses the manner in which mobile health applications contribute to the empowerment of patients. The theoretical background included m-health, user empowerment and value co-creation. Quantitative and qualitative methods were used to investigate the representative case study of the Kangaroo application, a free app designed by a health-tech start-up and a reference Brazilian hospital which seeks to make Brazilian women empowered for a healthy pregnancy. The data collection effort comprised application log analysis of 6 months of records of almost one-hundred thousand users, a mobile-based survey with approximately 400 women, and 16 in-depth interviews. The results demonstrated that the app’s social features impacted more than personal features. This research’s results suggested that the perception of patient empowerment is not greater for the active users of the application, so the patient is not related to ‘doing’, but rather to ‘being able to do’. The participation of specialised professionals, who moderate and interact with the app community, is valued by the users and mentioned as a differential among other health information sources available on the Web. This study was approved by the Brazilian Research Ethics Committee.

Translation and Validation Study of the French Version of the eHealth Literacy Scale: Web-Based Survey on a Student Population

Background

eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature.

Objective

The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS).

Methods

The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe–16 and Patient Activation Measure–13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale.

Results

The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F77,77=6.416; P<.001) prove the validity and fidelity of the proposed scale. The internal consistency of F-eHEALS was estimated by Cronbach α of .89. The factor analysis with varimax rotation used to validate the construct showed a 2-factor scale. The effect of the construct was analyzed using 3 hypotheses related to the theory. The F-eHEALS score was correlated with the Health Literacy Survey-Europe–16 score (r=0.34; P<.001) and the Patient Activation Measure–13 score (r=0.31; P<.001).

Conclusions

F-eHEALS is consistent with the original version. It presents adequate levels of validity and fidelity. This 2D scale will need to be generalized to other populations in a French-speaking context. Finally, a version taking into account collaborative applications (ie, Health 2.0; eg, Digital Health Literacy Instrument scale) should be considered on the basis of this study.

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.

Effect of the COVID-19 Mitigation Measure on Dental Care Needs in 17 Countries: A Regression Discontinuity Analysis

Objectives

The effect of COVID-19 mitigation measures on different oral health care needs is unclear. This study aimed to estimate the effect of COVID-19 mitigation measures on different types of oral health care utilization needs and explore the heterogeneity of such effects in different countries by using real-time Internet search data.

Methods

Data were obtained from Google Trends and other public databases. The monthly relative search volume (RSV) of the search topics "toothache," "gingivitis," "dentures," "orthodontics," and "mouth ulcer" from January 2004 to June 2021 was collected for analysis. The RSV value of each topics before and after COVID-19 was the primary outcome, which was estimated by regression discontinuity analysis (RD). The effect bandwidth time after the COVID-19 outbreak was estimated by the data-driven optimal mean square error bandwidth method. Effect heterogeneity of COVID-19 on dental care was also evaluated in different dental care categories and in countries with different human development index (HDI) rankings, dentist densities, and population age structures.

Results

A total of 17,850 monthly RSV from 17 countries were used for analysis. The RD results indicated that advanced dental care was significantly decreased (OR: 0.63, 95% CI: 0.47-0.85) after the COVID-19 outbreak, while emergency dental care toothache was significantly increased (OR: 1.54, 95% CI: 0.99-2.37) 4 months after the COVID-19 outbreak. Compared to the countries with low HDI and low dentist density, the effect was much more evident in countries with high HDI and high dentist density.

Conclusions

COVID-19 mitigation measures have different effects on people with various dental care needs worldwide. Dental care services should be defined into essential care and advanced care according to specific socioeconomic status in different countries. Targeted health strategies should be conducted to satisfy different dental care needs in countries.

Web-based health education in medicine and surgery

The Internet is transforming health care and has the potential to combine existing health information sources. The general public increasingly uses the Internet as a complementary resource for health information. With the rapid development of the Internet and broadband worldwide, the web has become a major means of health information dissemination and proactive use of the Internet for health promotion is possible. Health professionals need to be more responsive to the use of the Internet to deliver better healthcare for consumers. In this editorial comment, I tried to address the issue and even explore the navigational needs of consumers for finding online health information and identifying consumer barriers to online health information-seeking behavior.

GoogleTrends as a patient therapeutic education resource on extracorporeal life support: What do patients want to know?

INTRODUCTION

Extracorporeal membrane oxygenation (ECMO) is implemented as rescue therapy in COVID-19 related acute distress respiratory syndrome (ARDS) and refractory hypoxemia. Google Trends (GT) is an ongoing-developing web kit providing feedback on specific population's interests. This study uses GT to analyze the United States (US) general population interest in ECMO as COVD-19/ARDS salvage therapy.

METHODS

GT was used to access data searched for the term ECMO and COVID-19. The gathered information included data from March 2020 to July 2021 within US territories. Search frequency, time intervals, sub-regions, frequent topics of interest, and related searches were analyzed. Data were reported as search frequency on means, and a value of 100 represented overall peak popularity.

RESULTS

The number of Google searches related to the terms ECMO and COVID-19 has surged and sustained interest over time ever since the initial reports of COVID-19 in the US, from an initial mean of 34% in March 2020 to a 100% interest by April 2020, resulting in an up-to-date overall average of 40% interest. Over time West Virginia, Gainesville, and Houston, lead the frequency of searches in sub-region, metro and city areas, respectively. Top search terms by frequency include: ECMO machine, COVID ECMO, what is ECMO, ECMO treatment and VV ECMO. Parallel to this, the related rising terms are: COVID ECMO, ECMO machine COVID, ECMO for COVID, ECMO machine coronavirus, and ECMO vs ventilator. Seemingly, medical-relevant websites fail to adequately address these for patient therapeutic education (PTE) purposes.

CONCLUSIONS

GT complements the understanding of interest in ECMO for COVID-19. When properly interpreted, the use of these trends can potentially improve on PTE and therapy awareness via specific medical relevant websites.

Evaluating the Psychometric Properties of the eHealth Literacy Scale (eHEALS) among Polish Social Media Users

Social media have become mainstream online tools that allow individuals to connect and share information. Such platforms also influence people’s health behavior in the way they communicate about personal health, treatment, or physicians. Individuals’ ability to find and apply online health information on specific health problems can be measured using a valid and reliable instrument, the eHealth Literacy Scale (eHEALS). The objective of this study was to evaluate the psychometric aspects of the Polish version of this instrument (eHEALS-Pl) among social media users, which has not been explored so far. We examined the translated version of the eHEALS in a representative sample of Polish social media users (n = 1527). CAWI (computer-assisted web interviews) was a method to collect data. The reliability of the eHEALS-Pl was measured by calculating the Cronbach alpha coefficients and analyzing the principal components. Exploratory factor analysis and hypothesis testing was used to assess the construct validity of the instrument. The internal consistency of the eHEALS-Pl was sufficient: Cronbach alpha = 0.84. The item-to-total correlations ranged from r = 0.514 to 0.666. EFA revealed a single structure explaining 47.42% of the variance, with high factor loadings of the item ranging from 0.623 to 0.769. Hypothesis testing also supported the validity of eHEALS-Pl. The eHEALS-Pl evaluation supported by social media users reviled its equivalence to the original instrument developed by Norman and Skinner in 2006 and it can be used to measure e-health literacy. Since there is no prior validation of the eHEALS among social media users, these findings may indicate important directions in evaluating digital skills, especially in relation to the current challenges related to the COVID-19 pandemic.

Stratified Impacts of the Infodemic During the COVID-19 Pandemic: Cross-sectional Survey in 6 Asian Jurisdictions

Background

Although timely and accurate information during the COVID-19 pandemic is essential for containing the disease and reducing mental distress, an infodemic, which refers to an overabundance of information, may trigger unpleasant emotions and reduce compliance. Prior research has shown the negative consequences of an infodemic during the pandemic; however, we know less about which subpopulations are more exposed to the infodemic and are more vulnerable to the adverse psychological and behavioral effects.

Objective

This study aimed to examine how sociodemographic factors and information-seeking behaviors affect the perceived information overload during the COVID-19 pandemic. We also investigated the effect of perceived information overload on psychological distress and protective behavior and analyzed the socioeconomic differences in the effects.

Methods

The data for this study were obtained from a cross-national survey of residents in 6 jurisdictions in Asia in May 2020. The survey targeted residents aged 18 years or older. A probability-based quota sampling strategy was adopted to ensure that the selected samples matched the population’s geographical and demographic characteristics released by the latest available census in each jurisdiction. The final sample included 10,063 respondents. Information overload about COVID-19 was measured by asking the respondents to what extent they feel overwhelmed by news related to COVID-19. The measure of psychological distress was adapted from the Posttraumatic Stress Disorder Checklist for Diagnostic and Statistical Manual of Mental Disorders 5 (DSM-5). Protective behaviors included personal hygienic behavior and compliance with social distancing measures.

Results

Younger respondents and women (b=0.20, 95% CI 0.14 to 0.26) were more likely to perceive information overload. Participants self-perceived as upper or upper-middle class (b=0.19, 95% CI 0.09 to 0.30) and those with full-time jobs (b=0.11, 95% CI 0.04 to 0.17) tended to perceive higher information overload. Respondents who more frequently sought COVID-19 information from newspapers (b=0.12, 95% CI 0.11 to 0.14), television (b=0.07, 95% CI 0.05 to 0.09), and family and friends (b=0.11, 95% CI 0.09 to 0.14) were more likely to feel overwhelmed. In contrast, obtaining COVID-19 information from online news outlets and social media was not associated with perceived information overload. There was a positive relationship between perceived information overload and psychological distress (b=2.18, 95% CI 2.09 to 2.26). Such an association was stronger among urban residents, full-time employees, and those living in privately owned housing. The effect of perceived information overload on protective behavior was not significant.

Conclusions

Our findings revealed that respondents who were younger, were female, had a higher socioeconomic status (SES), and had vulnerable populations in the household were more likely to feel overwhelmed by COVID-19 information. Perceived information overload tended to increase psychological distress, and people with higher SES were more vulnerable to this adverse psychological consequence. Effective policies and interventions should be promoted to target vulnerable populations who are more susceptible to the occurrence and negative psychological influence of perceived information overload.

Megatrends in Healthcare: Review for the Swiss National Science Foundation’s National Research Programme 74 (NRP74) “Smarter Health Care”

Objectives: In this paper, we present a review of some relevant megatrends in healthcare conducted as part of the Swiss National Science Foundation’s National Research Programme 74 (NRP74) “Smarter Health Care.” Our aim is to stimulate discussions about long-term tendencies underlying the current and future development of the healthcare system.

Methods: Our team—a multidisciplinary panel of researchers involved in the NRP74—went through an iterative process of internal consultations followed by a rapid literature review with the goal of reaching group consensus concerning the most relevant megatrends in healthcare.

Results: Five megatrends were identified, namely: 1) Socio-demographic shifts. 2) Broadening meaning of “health.” 3) Empowered patients and service users. 4) Digitalization in healthcare. 5) Emergence of new models of care. The main features of each megatrend are presented, drawing often on the situation in Switzerland as a paradigmatic example and adding reflections on the potential influence of the COVID-19 pandemic on them.

Conclusion: Considering the long-term megatrends affecting the evolution of healthcare is important—amongst other things–to understand and contextualise the relevance and implications of innovative health services research results.

The Promise of Digital Self-Management: A Reflection about the Effects of Patient-Targeted e-Health Tools on Self-Management and Wellbeing

Increasingly, people have direct access to e-Health resources such as health information on the Internet, personal health portals, and wearable self-management applications, which have the potential to reinforce the simultaneously growing focus on self-management and wellbeing. To examine these relationships, we searched using keywords self-management, patient-targeting e-Health tools, and health as wellbeing. Direct access to the health information on the Internet or diagnostic apps on a smartphone can help people to self-manage health issues, but also leads to uncertainty, stress, and avoidance. Uncertainties relate to the quality of information and to use and misuse of information. Most self-management support programs focus on medical management. The relationship between self-management and wellbeing is not straightforward. While the influence of stress and negative social emotions on self-management is recognized as an important cause of the negative spiral, empirical research on this topic is limited to health literacy studies. Evidence on health apps showed positive effects on specific actions and symptoms and potential for increasing awareness and ownership by people. Effects on more complex behaviors such as participation cannot be established. This review discovers relatively unknown and understudied angles and perspectives about the relationship between e-Health, self-management, and wellbeing.

Knowledge translation strategies for sharing evidence-based health information with older adults and their caregivers: findings from a persona-scenario method

Background

By understanding the information seeking behaviors of older adults, we can better develop or iterate effective information technologies, such as the McMaster Optimal Aging Portal, that provide evidence-based health information to the public. This paper reports health-related information seeking and searching behaviours and provides strategies for effective knowledge translation (KT) to increase awareness and use of reliable health information.

Methods

We conducted a qualitative study with eighteen older adults using the persona-scenario method, whereby participants created personas and scenarios describing older adults seeking health information. Scenarios were analyzed using a two-phase inductive qualitative approach, with the personas as context. From the findings related to pathways of engaging with health information, we identified targeted KT strategies to raise awareness and uptake of evidence-based information resources.

Results

Twelve women and six men, 60 to 81 years of age, participated. In pairs, they created twelve personas that captured rural and urban, male and female, and immigrant perspectives. Some scenarios described older adults who did not engage directly with technology, but rather accessed information indirectly through other sources or preferred nondigital modes of delivery. Two major themes regarding KT considerations were identified: connecting to information via other people and personal venues (people included healthcare professionals, librarians, and personal networks; personal venues included clinics, libraries, pharmacies, and community gatherings); and health information delivery formats, (e.g., printed and multimedia formats for web-based resources). For each theme, and any identified subthemes, corresponding sets of suggested KT strategies are presented.

Conclusions

Our findings underline the importance of people, venues, and formats in the actions of older adults seeking trusted health information and highlight the need for enhanced KT strategies to share information across personal and professional networks of older adults. KT strategies that could be employed by organizations or communities sharing evidence-based, reliable health information include combinations of educational outreach and materials, decision support tools, small group sessions, publicity campaigns, champions/opinion leaders, and conferences.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02588-x.

Understanding digital health ecosystem from Australian citizens' perspective: A scoping review

BACKGROUND

Digital health (DH) and the benefits of related services are fairly well understood. However, it still is critical to map the digital health care landscape including the key elements that define it as an ecosystem. Particularly, knowing the perspectives of citizens on this digital transformation is an important angle to capture. In this review we aim to analyze the relevant studies to identify how DH is understood and experienced by Australian citizens and what they may require from DH platforms.

MATERIALS AND METHODS

A scoping literature review was conducted across several electronic databases (ACM Digital Library, OVID, PubMed, Scopus, IEEE, Science Direct, SAGE), as well as grey literature. Additionally, citation mining was conducted to identify further relevant studies. Identified studies were subjected to eligibility criteria and the final set of articles was independently reviewed, analyzed, discussed and interpreted by three reviewers.

RESULTS

Of 3811 articles, 98 articles met the inclusion criteria with research-based articles-as opposed to review articles or white papers- comprising the largest proportion (72%) of the selected literature. The qualitative analysis of the literature revealed five key elements that capture the essence of the digital health ecosystem interventions from the viewpoint of the Australian citizens. The identified elements were "consumer/user", "health care", "technology", "use and usability", "data and information". These elements were further found to be associated with 127 subcategories.

CONCLUSIONS

This study is the first of its kind to analyze and synthesize the relevant literature on DH ecosystems from the citizens' perspective. Through the lens of two research questions, this study defines the key components that were found crucial to understanding citizens' experiences with DH. This understanding lays a strong foundation for designing and fostering DH ecosystem. The results provide a solid ground for empirical testing.

Designing comprehensible healthcare public reports: An investigation of the use of narratives and tests of quality metrics to support healthcare public report sensemaking

A key challenge for designers of healthcare public reports is the development of a presentation format that accurately communicates the variability in the quality of care among healthcare systems. This study conducted in the United States explored whether presenting public report information within narratives and with tests of healthcare quality metrics supported the public report sensemaking process. The study involved 200 participants and employed a 2 (public report information presented in the standard format, presented within a narrative) * 2 (no tests of quality metrics added to standard report, metrics tests added) between-subjects experimental design. The participants viewed the scenario of a patient looking for dialysis facility-related information. They were then asked which dialysis facility they would choose for their care and their level of confidence in their choice. Subsequently, a knowledge quiz evaluating how the participants interpreted the information presented to them, the NASA-TLX workload survey, and a usability questionnaire were administered. The results showed that the probability of choosing the better facility from the perspective of the quality measures included in the report changed from 0.69 to 0.89 when information was presented within a narrative rather than with the standard public report format. The results also found a significantly higher comprehension score (M = 54.58, SD = 18.51) when information was presented within the narrative than when presented in the standard public report format (M = 44.57, SD = 25.13). When information was presented to the participants within a narrative, the narrative may have enabled the participants to visualize themselves as the person depicted in the narrative and this may have increased the perceived relevance of the quality measures. Total workload, mental demand and perceived usability were higher when information was presented within the narrative than when presented in the standard format. The high workload and mental demand may be due to the stress placed on the information processing channels while reading a narrative and the effort expended to relate it to the quality measures. They may also be markers of more deliberative decision making facilitated by the narratives. No significant effect of tests of quality metrics was found on the dependent variables of choice of the better healthcare facility, comprehension, and usability. There was also no significant effect of quality metrics tests on overall workload. However, the effect of quality metrics tests on the mental demand subscale of NASA-TLX was significant. Mental demand was higher without quality metrics tests than with quality metrics tests. No significant interaction was found between the two independent variables on the dependent variables of choice of the better healthcare facility, comprehension, workload, and usability. It is recommended that narratives be used to present public report information to support informed healthcare decisions.

An analysis of the diagnostic accuracy and peer-to-peer health information provided on online health forums for heart failure

AIMS

To examine the accuracy of diagnostic responses and types of information provided on online health forums.

DESIGN

Qualitative descriptive study.

METHODS

This paper reports the findings of a thematic analysis of peer responses to posts included on heart failure online health forums, to understand the quality and types of information provided. Responses posted between March 2016 and March 2019 were screened, collected and analysed thematically using Braun & Clarke. Themes were conceptually underpinned by Normalization Process Theory. Responses were assessed for quality against the NICE and SIGN guidelines to determine whether they were evidence based or not.

RESULTS

The total number of responses collected for analysis was 639. Five main themes were identified: diagnostic, experiential, informational, peer relations and relationships with healthcare professionals. Out of 298 diagnostic responses, 5% were guideline evidence-based and 6% had information that were partly evidence-based. Non-evidence based and potentially dangerous responses were 10%. Experiential responses were 10%; 23% included advice that was not supported with any clinical evidence; and 46% signposted users to other online references/healthcare professionals.

CONCLUSION

Online health communication largely focuses on provision of experiential responses to assist those in need of pre- or post-diagnosis advice and support. However, there is evidence of inaccurate information provision which suggests the use of a moderator would be beneficial.

IMPACT

This study suggests heart failure online health forums are a source of support, however, there are potential risks. Increasing nurses and other health care professional's awareness of online health forums will be important. Additional training is needed to help them learn more about patient's use of online health forums, to gain a better understanding about the types of information sought, and how best to address such knowledge deficits. Healthcare systems must ensure sufficient time and resources are available to meet information needs for people with heart failure.

Socioeconomic Factors Influence Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data

PURPOSE

Assessed socioeconomic factors in health information seeking behavior and trust of information sources from 2007 to 2017.

DESIGN

Pooled cross-sectional survey data.

SETTING

Health Information National Trends Survey.

PARTICIPATION

Data included 6 iterations of U.S. adults (Pooled: N = 19,496; 2007: N = 3,593; 2011: N = 3,959; 2013: N = 3,185; FDA 2015: N = 3,738; 2017: N = 3,285; and FDA 2017: N = 1,736).

MEASURES

Outcome variables were health information seeking, high confidence, and high trust of health information from several sources. Independent variables were education and income group, controlling for other sociodemographic variables.

ANALYSIS

Weighted descriptive and multivariate logistic regression for the pooled sample assessed associations by education and income. Fully interacted models with education/income-survey year interactions compared differences in outcomes between years.

RESULTS

We found information seeking, confidence, and trust were associated with income and education, which supported previously reported findings. Additionally, our findings indicated low-and medium-income groups had significantly lower odds of seeking health information compared to those in a high-income group. Regarding trust of information, a high school education was associated with higher odds of trust in family and friends. We also found that, over time, information seeking, confidence, and trust behavior differed by income and education, with some differences persisting.

CONCLUSION

Disparities by income and education in trust of information sources remained across time. Understanding optimal information sources, their reach, and their credibility among groups could enable more targeted interventions and health messaging. We also describe the implications for our findings in the context of COVID-19.

Factors influencing patient participation in medication counseling at the community pharmacy: A systematic review

BACKGROUND

Findings document that patient participation in pharmacy encounters is associated with favorable outcomes. However, there is a need to understand factors that may enhance or hinder patient engagement and pharmacist counseling behaviors during their medication discussions. This review aims to: (1) identify barriers and facilitators for patient engagement in pharmacy consultations, (2) explore the relationship between patient factors (such as demographics and communication behavior) and subsequent pharmacist counseling behavior.

METHODS

A systematic review of literature using PRISMA guidelines examined studies published in English addressing influences on patient participation and the relationship between patient factors and pharmacist counseling behavior. Four databases were used - PubMed, CINAHL, PsycINFO, and Scopus. Findings were framed thematically within the constructs of Street's Linguistic Model of Patient Participation in Care (LM).

FINDINGS

Fifty studies from 1983 to 2019, including 37 using self-reported data, were identified. Patient involvement in patient-pharmacist communication was influenced by enabling factors such as patient knowledge, communication skills, and pharmacy environment. Predisposing factors for participation ranged from patients' beliefs and past experiences to demographic characteristics such as gender and age. Pharmacists' participative behavior with patients was positively associated with patients' engagement and perceived patient cues in the conversation.

CONCLUSION

This systematic review identified predictors of patients' engagement in pharmacy encounters drawing on LM framework. Various predisposing factors, enabling factors, and pharmacist' responses impacted patients' willingness to actively participate in medication counseling at community pharmacies. Equally important, studies documented considerable impact by patients on pharmacists' counseling behavior. Pharmacy encounters should no longer be viewed as controlled simply by pharmacists' expertise and agendas. Patient characteristics and factors such as patient question-asking and expectations also appear to be associated with and influence patient-pharmacist interpersonal communication. Additional research needs to address the identified facilitators and barriers to enhance patient participation and pharmacist counseling behavior.

Quality of online self-management resources for adults living with primary brain cancer, and their carers: a systematic environmental scan

Background

A primary brain cancer diagnosis is a distressing, life changing event. It adversely affects the quality of life for the person living with brain cancer and their families (‘carers’). Timely access to evidence-based information is critical to enabling people living with brain cancer, and their carers, to self-manage the devastating impacts of this disease.

Method

A systematic environmental scan of web-based resources. A depersonalised search for online English-language resources published from 2009 to December 2019 and designed for adults (> 25 years of age), living with primary brain cancer, was undertaken using the Google search engine. The online information was classified according to: 1) the step on the cancer care continuum; 2) self-management domains (PRISMS taxonomy); 3) basic information disclosure (Silberg criteria); 4) independent quality verification (HonCode); 5) reliability of disease and treatment information (DISCERN Sections 1 and 2); and readability (Flesch-Kincaid reading grade).

Results

A total of 119 online resources were identified, most originating in England (n = 49); Australia (n = 27); or the USA (n = 27). The majority of resources related to active treatment (n = 76), without addressing recurrence (n = 3), survivorship (n = 1) or palliative care needs (n = 13). Few online resources directly provided self-management advice for adults living with brain cancer or their carers. Just over a fifth (n = 26, 22%) were underpinned by verifiable evidence. Only one quarter of organisations producing resources were HonCode certified (n = 9, 24%). The median resource reliability as measured by Section 1, DISCERN tool, was 56%. A median of 8.8 years of education was required to understand these online resources.

Conclusions

More targeted online information is needed to provide people affected by brain cancer with practical self-management advice. Resources need to better address patient and carer needs related to: rehabilitation, managing behavioural changes, survivorship and living with uncertainty; recurrence; and transition to palliative care. Developing online resources that don’t require a high level of literacy and/or cognition are also required.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-021-00715-4.

Persons with dementia as internet users: what are their needs? A qualitative study

AIMS AND OBJECTIVES

The aim of this study was to identify the needs and expectations of persons with dementia regarding dementia-related information on the internet concerning content, presentation, navigation, language and design.

BACKGROUND

Research on internet-related needs of persons with dementia is lacking. However, the importance of the internet as a source of health information is increasing. To improve health literacy and to ensure participation in therapy decisions, target group-specific health information is necessary, especially for persons with chronic conditions like dementia.

DESIGN

We conducted a qualitative interview study between April 2019 and April 2020 in the German-speaking part of Switzerland. To report the study, we used the COREQ checklist.

METHODS

We analysed the interview data using content analysis according to Mayring.

RESULTS

Four interviews with five persons with dementia took place. We identified two main themes: (1) 'use of media and changing needs' and (2) 'information about dementia on the internet'. The first theme is related to changing user habits due to progressing dementia. The second theme is focussed on requirements concerning design and content. Critical reception and assessment of internet-based information are also addressed.

CONCLUSIONS

Information should be adapted to the course of disease. Opportunities and positive aspects should also be mentioned. The presentation should be well-structured. Health professionals might support persons with dementia in searching and interpreting internet-based information.

RELEVANCE TO CLINICAL PRACTICE

Website operators should consider specific needs of persons with dementia regarding design and content. Involving persons with dementia in the development of website content and design could be an opportunity for better meeting their needs.

Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana

BACKGROUND

A voice assistant (VA) is inanimate audio-interfaced software augmented with artificial intelligence, capable of 2-way dialogue, and increasingly used to access health care advice. Postpartum depression (PPD) is a common perinatal mood disorder with an annual estimated cost of $14.2 billion. Only a small percentage of PPD patients seek care due to lack of screening and insufficient knowledge of the disease, and this is, therefore, a prime candidate for a VA-based digital health intervention.

OBJECTIVE

In order to understand the capability of VAs, our aim was to assess VA responses to PPD questions in terms of accuracy, verbal response, and clinically appropriate advice given.

METHODS

This cross-sectional study examined four VAs (Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana) installed on two mobile devices in early 2020. We posed 14 questions to each VA that were retrieved from the American College of Obstetricians and Gynecologists (ACOG) patient-focused Frequently Asked Questions (FAQ) on PPD. We scored the VA responses according to accuracy of speech recognition, presence of a verbal response, and clinically appropriate advice in accordance with ACOG FAQ, which were assessed by two board-certified physicians.

RESULTS

Accurate recognition of the query ranged from 79% to 100%. Verbal response ranged from 36% to 79%. If no verbal response was given, queries were treated like a web search between 33% and 89% of the time. Clinically appropriate advice given by VA ranged from 14% to 29%. We compared the category proportions using the Fisher exact test. No single VA statistically outperformed other VAs in the three performance categories. Additional observations showed that two VAs (Google Assistant and Microsoft Cortana) included advertisements in their responses.

CONCLUSIONS

While the best performing VA gave clinically appropriate advice to 29% of the PPD questions, all four VAs taken together achieved 64% clinically appropriate advice. All four VAs performed well in accurately recognizing a PPD query, but no VA achieved even a 30% threshold for providing clinically appropriate PPD information. Technology companies and clinical organizations should partner to improve guidance, screen patients for mental health disorders, and educate patients on potential treatment.

Ashamed Caregivers: Self-Stigma, Information, and Coping among Dementia Patient Families

The number of people living with dementia increases almost every year, and the majority of the care system for these individuals is often made up of close family members. This study investigates the relationship between family caregivers' cross-checking of information with healthcare providers and patient health outcomes. Specifically, we examined whether this relationship was mediated by caregivers' enhanced coping efficacy. We also tested the moderation effect of family caregivers' affiliate stigma on information cross-checking, coping efficacy, and coping outcomes. Using a survey of 226 family caregivers of dementia patients in South Korea, this study tested the moderated mediation model with the PROCESS macro. Results indicate that low affiliate stigma moderates coping efficacy on the relationship between information cross-checking and dementia patients' health outcomes. Further implications for family caregiving and general dementia care are discussed.

Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial

Advances in web and mobile technologies have created efficiencies relating to collection, analysis and interpretation of dietary intake data. This study compared the impact of two levels of nutrition support: (1) low personalization, comprising a web-based personalized nutrition feedback report generated using the Australian Eating Survey® (AES) food frequency questionnaire data; and (2) high personalization, involving structured video calls with a dietitian using the AES report plus dietary self-monitoring with text message feedback. Intake was measured at baseline and 12 weeks using the AES and diet quality using the Australian Recommended Food Score (ARFS). Fifty participants (aged 39.2 ± 12.5 years; Body Mass Index 26.4 ± 6.0 kg/m2; 86.0% female) completed baseline measures. Significant (p < 0.05) between-group differences in dietary changes favored the high personalization group for total ARFS (5.6 points (95% CI 1.3 to 10.0)) and ARFS sub-scales of meat (0.9 points (0.4 to 1.6)), vegetarian alternatives (0.8 points (0.1 to 1.4)), and dairy (1.3 points (0.3 to 2.3)). Additional significant changes in favor of the high personalization group occurred for proportion of energy intake derived from energy-dense, nutrient-poor foods (-7.2% (-13.8% to -0.5%)) and takeaway foods sub-group (-3.4% (-6.5% to 0.3%). Significant within-group changes were observed for 12 dietary variables in the high personalization group vs one variable for low personalization. A higher level of personalized support combining the AES report with one-on-one dietitian video calls and dietary self-monitoring resulted in greater dietary change compared to the AES report alone. These findings suggest nutrition-related web and mobile technologies in combination with personalized dietitian delivered advice have a greater impact compared to when used alone.

Online Health Information Seeking Using "#COVID-19 Patient Seeking Help" on Weibo in Wuhan, China: Descriptive Study

Background

First detected in Wuhan, China in December 2019, the COVID-19 pandemic stretched the medical system in Wuhan and posed a challenge to the state’s risk communication efforts. Timely access to quality health care information during outbreaks of infectious diseases can be effective to curtail the spread of disease and feelings of anxiety. Although existing studies have extended our knowledge about online health information–seeking behavior, processes, and motivations, rarely have the findings been applied to an outbreak. Moreover, there is relatively little recent research on how people in China are using the internet for seeking health information during a pandemic.

Objective

The aim of this study is to explore how people in China are using the internet for seeking health information during a pandemic. Drawing on previous research of online health information seeking, this study asks the following research questions: how was the “#COVID-19 Patient Seeking Help” hashtag being used by patients in Wuhan seeking health information on Weibo at the peak of the outbreak? and what kinds of health information were patients in Wuhan seeking on Weibo at the peak of the outbreak?

Methods

Using entity identification and textual analysis on 10,908 posts on Weibo, we identified 1496 patients with COVID-19 using “#COVID-19 Patient Seeking Help” and explored their online health information–seeking behavior.

Results

The curve of the hashtag posting provided a dynamic picture of public attention to the COVID-19 pandemic. Many patients faced difficulties accessing offline health care services. In general, our findings confirmed that the internet is used by the Chinese public as an important source of health information. The lockdown policy was found to cut off the patients’ social support network, preventing them from seeking help from family members. The ability to seek information and help online, especially for those with young children or older adult members during the pandemic. A high proportion of female users were seeking health information and help for their parents or for older adults at home. The most searched information included accessing medical treatment, managing self-quarantine, and offline to online support.

Conclusions

Overall, the findings contribute to our understanding of health information–seeking behaviors during an outbreak and highlight the importance of paying attention to the information needs of vulnerable groups and the role social media may play.

Google Trends as a resource for bariatric education: what do patients want to know?

BACKGROUND

Bariatric surgery (BaS) is the safest, most effective, and most durable therapy for obesity but is performed in less than 1% of the affected United States (US) population. It is challenging to determine from traditional surveys if this phenomenon is the result of poor access to care or lack of interest among Internet users.

OBJECTIVES

The aim of this study was to use Google Trends (GT) as a tool to analyze the US general population interest in BaS.

SETTING

Academic Hospital, United States.

METHODS

GT was used to access data searched for the term bariatric surgery. The gathered information included data from 2008 through 2018 in English within the US. Search frequency, time intervals, locations, frequent topics of interest, and related searches were analyzed. GT reports search frequency on means, and a value of 100 represented peak popularity.

RESULTS

The number of Google searches related to the term bariatric surgery has gradually increased over time, from a mean of 67% in 2008 to a 94% interest in 2017. Regarding interest by subregion in 2017, the state of Michigan lead the frequency of searches, followed by Indiana, Delaware, West Virginia, and Tennessee. Top searched terms by frequency were the following: patient eligibility for BaS, what is BaS, what are the complications of BaS, financial costs of BaS, and what insurance companies cover BaS. It appears that traditional Web sites only address a few.

CONCLUSIONS

GT complements the understanding of interest in BaS. Using these trends can improve an Internet user's education, and tailor specific official Web sites for the public's general interest.

Development of a Social Network for People Without a Diagnosis (RarePairs): Evaluation Study

Background

Diagnostic delay in rare disease (RD) is common, occasionally lasting up to more than 20 years. In attempting to reduce it, diagnostic support tools have been studied extensively. However, social platforms have not yet been used for systematic diagnostic support. This paper illustrates the development and prototypic application of a social network using scientifically developed questions to match individuals without a diagnosis.

Objective

The study aimed to outline, create, and evaluate a prototype tool (a social network platform named RarePairs), helping patients with undiagnosed RDs to find individuals with similar symptoms. The prototype includes a matching algorithm, bringing together individuals with similar disease burden in the lead-up to diagnosis.

Methods

We divided our project into 4 phases. In phase 1, we used known data and findings in the literature to understand and specify the context of use. In phase 2, we specified the user requirements. In phase 3, we designed a prototype based on the results of phases 1 and 2, as well as incorporating a state-of-the-art questionnaire with 53 items for recognizing an RD. Lastly, we evaluated this prototype with a data set of 973 questionnaires from individuals suffering from different RDs using 24 distance calculating methods.

Results

Based on a step-by-step construction process, the digital patient platform prototype, RarePairs, was developed. In order to match individuals with similar experiences, it uses answer patterns generated by a specifically designed questionnaire (Q53). A total of 973 questionnaires answered by patients with RDs were used to construct and test an artificial intelligence (AI) algorithm like the k-nearest neighbor search. With this, we found matches for every single one of the 973 records. The cross-validation of those matches showed that the algorithm outperforms random matching significantly. Statistically, for every data set the algorithm found at least one other record (match) with the same diagnosis.

Conclusions

Diagnostic delay is torturous for patients without a diagnosis. Shortening the delay is important for both doctors and patients. Diagnostic support using AI can be promoted differently. The prototype of the social media platform RarePairs might be a low-threshold patient platform, and proved suitable to match and connect different individuals with comparable symptoms. This exchange promoted through RarePairs might be used to speed up the diagnostic process. Further studies include its evaluation in a prospective setting and implementation of RarePairs as a mobile phone app.

Health information seeking behaviour using mobile devices among people with diabetes: A comparison between Middle and high income country

Objective

The internet has become a primary source of information for many individuals especially those with chronic diseases. This study aims to understand and compare the health seeking behaviour using mobile devices among individuals with diabetes and between a high (Singapore) and middle (Malaysia) income country.

Methods

A cross sectional survey was conducted among people with diabetes in Malaysia and Singapore. Participants attending the primary health clinic for the treatment of diabetes were approached to participate in this survey. Data on demographics, health status and beliefs to health were collected and compared.

Results

A total of 673 respondents were included in the study. Most of the respondents reported to have access to the Internet, with a high ownership of mobile phones (99.3%). However, only one in every three respondents sought information online. Younger individuals (≤50 years) and those with higher education more likely to seek information using mobile devices. Respondents in Singapore reported to be more likely to use mobile devices to monitor their health as compared to respondents in Malaysia. However, most respondents would seek health information from their healthcare professionals’ especially physicians.

Conclusion

There was limited differences in the health-seeking behaviour among the respondents from both countries, suggesting for a need to identify for more effective means of distribution of health related information.

General practitioners' challenges and strategies in dealing with Internet-related health anxieties-results of a qualitative study among primary care physicians in Germany

Time and again, it is discussed that in medical practices, the number of patients who develop health anxieties due to extensive health information searches on the Internet is increasing. The objective of this study is to explore and describe general practitioners’ experiences and attitudes towards cyberchondria patients as well as strategies to stabilize affected patients. Following a qualitative approach, oral personal semi-standardized interviews with general practitioners (N = 38) in Rhineland-Palatinate, Germany, were conducted in 2019. In the course of a content analysis, one can see that most interviewees see the emergence of Internet-related health anxieties as an increasing problem in everyday care. Affected patients not only show marked levels of doubt and nervousness as well as hypersensitivity to their own state of health, but also low confidence in the physician. In addition to compliance-related difficulties, the high need for advice and the demand for further diagnostics are regarded as major problems. Various approaches were identified by which general practitioners respond to unsettled patients (more consultation time, recommendation of reputable websites, information double-checking, expanded history questionnaire, additional psychosocial training).