Consumer Health Information Seeking Research Articles

A systematic integrative review of cognitive biases in consumer health information seeking: emerging perspective of behavioral information research

PurposeWith the growing interest in behavioral health and medical decision-making, this systematic integrative review aims to understand research on cognitive biases in the context of consumer health information seeking and where future research opportunities may reside.Design/methodology/approachFollowing a systematic review protocol, 40 empirical research articles, out of 1,127 journal research papers from 12 academic databases, from 1995 to 2019, are included for review.FindingsThe study of cognitive biases in consumer health information seeking is a nascent and fast-growing phenomenon, with variety in publication venues and research methods. Among the 16 biases investigated, optimistic bias and confirmation bias have attracted most attention (46.9%). Researchers are most interested in specific disease/illness (35%) and the health factors of consumer products (17.5%). For theoretical presence, about one-third of the reviewed articles have cited behavioral economist Daniel Kahneman, although most of the references are the early works of Kahneman.Research limitations/implicationsAs an emerging research area, there exists plenty of cognitive biases to be investigated in the context of health information seeking. In the meantime, the adoption of more recent theoretical insights such as nudge for debiasing may enrich this research area. Health communication scientists may find incorporating the behavioral decision research framework enriches the disciplinary inquiry of health information seeking, while information scientists could use it to commence the cognitive turn of information science evolution.Originality/valueThrough evidence-based understanding, this review shows the potential research directions that health communication scientists and information scientists could contribute to optimize health decisions through the adoption of behavioral decision research framework.

Evaluating the Quality of Health Information in a Changing Digital Ecosystem.

BackgroundCritical evaluation of online health information has always been central to consumer health informatics. However, with the emergence of new Web media platforms and the ubiquity of social media, the issue has taken on a new dimension and urgency. At the same time, many established existing information quality evaluation guidelines address information characteristics other than the content (eg, authority and currency), target information creators rather than users as their main audience, or do not address information presented via novel Web technologies.ObjectiveThe aim of this formative study was to (1) develop a methodological approach for analyzing health-related Web pages and (2) apply it to a set of relevant Web pages.MethodsThis qualitative study analyzed 25 type 2 diabetes pages, which were derived from the results of a Google search with the keywords “diabetes,” “reversal,” and “natural.” The coding scheme, developed via a combination of theory- and data-driven approaches, includes 5 categories from existing guidelines (resource type, information authority, validity of background information sources, objectivity, and currency) and 7 novel categories (treatment or reversal method, promises and certainty, criticisms of establishment, emotional appeal, vocabulary, rhetoric and presentation, and use of science in argumentation). The coding involves both categorical judgment and in-depth narrative characterization. On establishing satisfactory level of agreement on the narrative coding, the team coded the complete dataset of 25 pages.ResultsThe results set included “traditional” static pages, videos, and digitized versions of printed newspapers or magazine articles. Treatments proposed by the pages included a mixture of conventional evidence-based treatments (eg, healthy balanced diet exercise) and unconventional treatments (eg, dietary supplements, optimizing gut flora). Most pages either promised or strongly implied high likelihood of complete recovery. Pages varied greatly with respect to the authors’ stated background and credentials as well as the information sources they referenced or mentioned. The majority included criticisms of the traditional health care establishment. Many sold commercial products ranging from dietary supplements to books. The pages frequently used colloquial language. A significant number included emotional personal anecdotes, made positive mentions of the word cure, and included references to nature as a positive healing force. Most pages presented some biological explanations of their proposed treatments. Some of the explanations involved the level of complexity well beyond the level of an educated layperson.ConclusionsBoth traditional and data-driven categories of codes used in this work yielded insights about the resources and highlighted challenges faced by their users. This exploratory study underscores the challenges of consumer health information seeking and the importance of developing support tools that would help users seek, evaluate, and analyze information in the changing digital ecosystem.

Consumer health information seeking in social media: a literature review.

The objective of this literature review was to summarise current research regarding how consumers seek health-related information from social media. Primarily, we hope to reveal characteristics of existing studies investigating the health topics that consumers have discussed in social media, ascertaining the roles social media have played in consumers' information-seeking processes and discussing the potential benefits and concerns of accessing consumer health information in social media. The Web of Science Core Collection database was searched for existing literature on consumer health information seeking in social media. The search returned 214 articles, of which 21 met the eligibility criteria following review of full-text documents. Between 2011 and 2016, twenty-one studies published explored various topics related to consumer information seeking in social media. These ranged from online discussions on specific diseases (e.g. diabetes) to public health concerns (e.g. pesticide residues). Consumers' information needs vary depending on the health issues of interest. Benefits of health seeking on social media, in addition to filling a need for health information, include the social and emotional support health consumers gain from peer-to-peer interactions. These benefits, however, are tempered by concerns of information quality and authority and lead to decreased consumer engagement.

Research on the Model of Consumer Health Information Seeking Behavior via Social Media

Purpose: We aim to create a model of consumer health information seeking behavior via social media, then to have a better understand of it. After that further efforts should be made to provide targeted recommendations for media managers to promote health communication via social media. Methods: Our custom model was derived from literature review, empirical research was tested by the use of questionnaire investigation, and then the collected data were analyzed by structural equation model tool SmartPLS. Finally, the custom model was modified according to the experimental results of SmartPLS. Results: A total of 239 (66.39%) of the respondents were female and 121 (33.61%) were male. The maximum of two stages of age were 18 - 29 (70.56%), 30 - 39 (13.89%). Wechat (60.28%), QQ Zone (55.22%), Micro-blog (48.89%) were the most commonly used social media to obtain health information. About 44.72% of respondents used social media to obtain health information multiple times a day. The whole numerical values of AVE, cronbach’s alpha, CR and square roots of AVE were above the benchmarks of themselves and showed great reliability and validity. All the 11 hypotheses had obvious statistical significance, the P-value of eight path coefficients exhibited <0.001, one path coefficient exhibited <0.01 and two path coefficients exhibited <0.05. Conclusions: A suitable model of consumer health information seeking behavior via social media was created and some inner relationships were found. Namely, gratification of health information and its platform had a positive effect on attitudes toward health information seeking behavior. Health information literacy and health status were proved to have a significant influence on attitudes toward health information seeking behavior, subject norms and perceived behavioral control respectively. In addition, attitudes toward the health information seeking behavior, subject norms and perceived behavioral control were proved to positively associate with health information seeking behavior intention.

EHealth literacy demands and cognitive processes underlying barriers in consumer health information seeking

Background: Consumer eHealth tools play an increasingly important role in engaging patients as participants in managing their health and seeking health information. However, there is a documented gap between the skill and knowledge demands of eHealth systems and user competencies to benefit from these tools. Objective: This research aims to reveal the knowledge- and skill-related barriers to effective use of eHealth tools. Methods: We used a micro-analytic framework for characterizing the different cognitive dimensions of eHealth literacy to classify task demands and barriers that 20 participants experienced while performing online information-seeking and decision-making tasks. Results: Participants ranged widely in their task performance across all 6 tasks as measured by task scores and types of barriers encountered. The highest performing participant experienced only 14 barriers whereas the lowest scoring one experienced 153. A more detailed analysis of two tasks revealed that the highest number of incorrect answers and experienced barriers were caused by tasks requiring: (a) Media literacy and Science literacy at high cognitive complexity levels and (b) a combination of Numeracy and Information literacy at different cognitive complexity levels. Conclusions: Applying this type of analysis enabled us to characterize task demands by literacy type and by cognitive complexity. Mapping barriers to literacy types provided insight into the interaction between users and eHealth tasks. Although the gap between eHealth tools, users’ skills, and knowledge can be difficult to bridge, an understanding of the cognitive complexity and literacy demands can serve to reduce the gap between designer and consumer.

Consumer Health Information Seeking as Hypothesis Testing

ObjectiveDespite the proliferation of consumer health sites, lay individuals often experience difficulty finding health information online. The present study attempts to understand users' information seeking difficulties by drawing on a hypothesis testing explanatory framework. It also addresses the role of user competencies and their interaction with internet resources. DesignTwenty participants were interviewed about their understanding of a hypothetical scenario about a family member suffering from stable angina and then searched MedlinePlus® consumer health information portal for information on the problem presented in the scenario. Participants' understanding of heart disease was analyzed via semantic analysis. Thematic coding was used to describe information seeking trajectories in terms of three key strategies: verification of the primary hypothesis, narrowing search within the general hypothesis area and bottom-up search. ResultsCompared to an expert model, participants' understanding of heart disease involved different key concepts, which were also differently grouped and defined. This understanding provided the framework for search-guiding hypotheses and results interpretation. Incorrect or imprecise domain knowledge led individuals to search for information on irrelevant sites, often seeking out data to confirm their incorrect initial hypotheses. Online search skills enhanced search efficiency, but did not eliminate these difficulties. ConclusionsRegardless of their web experience and general search skills, lay individuals may experience difficulty with health information searches. These difficulties may be related to formulating and evaluating hypotheses that are rooted in their domain knowledge. Informatics can provide support at the levels of health information portals, individual websites, and consumer education tools.

Exploring and Developing Consumer Health Vocabularies

AbstractLaypersons (“consumers”) often have difficulty finding, understanding, and acting on health information due to gaps in their domain knowledge. Ideally, consumer health vocabularies (CHVs) would reflect the different ways consumers express and think about health topics, helping to bridge this vocabulary gap. However, despite the recent research on mismatches between consumer and professional language (e.g., lexical, semantic, and explanatory), there have been few systematic efforts to develop and evaluate CHVs. This paper presents the point of view that CHV development is practical and necessary for extending research on informatics-based tools to facilitate consumer health information seeking, retrieval, and understanding. In support of the view, we briefly describe a distributed, bottom-up approach for (1) exploring the relationship between common consumer health expressions and professional concepts and (2) developing an open-access, preliminary (draft) “first-generation” CHV. While recognizing the limitations of the approach (e.g., not addressing psychosocial and cultural factors), we suggest that such exploratory research and development will yield insights into the nature of consumer health expressions and assist developers in creating tools and applications to support consumer health information seeking.

Primary Sources of Health Information: Comparisons in the Domain of Health Attitudes, Health Cognitions, and Health Behaviors

The recent growth in consumer autonomy in health care accompanied by the surge in the use of new media for health information gathering has led to an increasing scholarly interest in understanding the consumer health information search construct. This article explores consumer health information seeking in the realm of the primary sources of health information used by consumers. Based on an analysis of the 1999 HealthStyles data, the paper demonstrates that active communication channels such as interpersonal communication, print readership, and Internet communication serve as primary health information sources for health-conscious, health-information oriented individuals with strong health beliefs, and commitment to healthy activities. On the other hand, passive consumption channels such as television and radio serve as primary health information resources for individuals who are not health-oriented. Media planning implications are drawn from the results, suggesting that broadcast outlets with an entertainment orientation are better suited for prevention campaigns. Such channels provide suitable sites for entertainment-education. On the other hand, print media, interpersonal networks, and the Internet are better suited for communicating about health issues to the health-active consumer segment.

Consumer health information seeking on the Internet: the state of the art.

Increasingly, consumers engage in health information seeking via the Internet. Taking a communication perspective, this review argues why public health professionals should be concerned about the topic, considers potential benefits, synthesizes quality concerns, identifies criteria for evaluating online health information and critiques the literature. More than 70 000 websites disseminate health information; in excess of 50 million people seek health information online, with likely consequences for the health care system. The Internet offers widespread access to health information, and the advantages of interactivity, information tailoring and anonymity. However, access is inequitable and use is hindered further by navigational challenges due to numerous design features (e.g. disorganization, technical language and lack of permanence). Increasingly, critics question the quality of online health information; limited research indicates that much is inaccurate. Meager information-evaluation skills add to consumers' vulnerability, and reinforce the need for quality standards and widespread criteria for evaluating health information. Extant literature can be characterized as speculative, comprised of basic 'how to' presentations, with little empirical research. Future research needs to address the Internet as part of the larger health communication system and take advantage of incorporating extant communication concepts. Not only should research focus on the 'net-gap' and information quality, it also should address the inherently communicative and transactional quality of Internet use. Both interpersonal and mass communication concepts open avenues for investigation and understanding the influence of the Internet on health beliefs and behaviors, health care, medical outcomes, and the health care system.

Epidermal nerve fiber density and sural nerve morphometry in peripheral neuropathies.

To study intraepidermal nerve fiber (IENF) density in distal leg skin biopsies, sural nerve morphometry, electrophysiology, and clinical features in patients with peripheral neuropathies. We studied 26 patients with neuropathic complaints who had undergone clinical evaluation, nerve conduction studies, distal leg skin biopsy, and sural nerve biopsy. We quantified densities of IENF and of myelinated and unmyelinated fibers in the sural nerve. Associations among skin and sural nerve morphometric measures and sensory nerve action potential (SNAP) amplitudes were examined nonparametrically. Morphometric measures were examined with respect to diagnostic category of neuropathy. IENF density correlated with the densities of sural nerve total myelinated (r = 0.57, p = 0.0011), small myelinated (r = 0.53, p = 0.0029), and large myelinated fibers (r = 0.49, p = 0.0054). There was a trend toward an association between IENF and sural nerve unmyelinated fiber densities (r = 0.32, p = 0.054). Sural SNAP amplitude and large myelinated fiber densities were highly correlated (r = 0.87, p < 0.0001). IENF density and sural nerve small fiber measures were concordant in 73% of patients. Reduced IENF density was the only indicator of small fiber depletion in 23% of cases. It was usually normal in acquired demyelinating neuropathies and where clinical suspicion for neuropathy was low. Distal leg Intraepidermal nerve (IENF) density may be more sensitive than sural nerve biopsy in identifying small fiber sensory neuropathies. Assessments of IENF density and large fiber measures on biopsy and electrophysiology are both useful for characterizing sensory and sensorimotor neuropathies.