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Abstract

In this opinion paper, we argue that global health crises are also information crises. Using as an example the coronavirus disease 2019 (COVID-19) epidemic, we (a) examine challenges associated with what we term "global information crises"; (b) recommend changes needed for the field of information science to play a leading role in such crises; and (c) propose actionable items for short- and long-term research, education, and practice in information science.

Type

a

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Abstract

The quality of online health information for consumers has been a critical issue that concerns all stakeholders in healthcare. To gain an understanding of how quality is evaluated, this systematic review examined 165 articles in which researchers evaluated the quality of consumer-oriented health information on the web against predefined criteria. It was found that studies typically evaluated quality in relation to the substance and formality of content, as well as to the design of technological platforms. Attention to design, particularly interactivity, privacy, and social and cultural appropriateness is on the rise, which suggests the permeation of a user-centered perspective into the evaluation of health information systems, and a growing recognition of the need to study these systems from a social-technical perspective. Researchers used many preexisting instruments to facilitate evaluation of the formality of content; however, only a few were used in multiple studies, and their validity was questioned. The quality of content (i.e., accuracy and completeness) was always evaluated using proprietary instruments constructed based on medical guidelines or textbooks. The evaluation results revealed that the quality of health information varied across medical domains and across websites, and that the overall quality remained problematic. Future research is needed to examine the quality of user-generated content and to explore opportunities offered by emerging new media that can facilitate the consumer evaluation of health information.

Type

a

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Abstract

The theory-driven Electronic Health Information for Life-Long Learners via Collaborative Learning (eHILLL-CL) intervention, developed and tested in public libraries, aims to improve older adults' e-health literacy. A total of 172 older adults participated in this study from August 2009 to June 2010. Significant differences were found from pretest to posttest in general computer/Web knowledge and skill gains and in e-health literacy (p<0.001 in all cases; effect sizes: 0.5-2.1; statistical power: 1.00 even at the 0.01 level) and three attitude measures (p<0.05) for both computer anxiety and attitudes toward the aging experience in physical change, and p<0.01 for attitude toward the CL method; effect sizes: 0.2-0.3; statistical power: 0.4-0.8, at the 0.05 level). No significant difference was found in other variables. Participants were highly positive about the intervention and reported positive changes in health-related behavior and decision making. Group composition (based on gender, prior familiarity with peers, or prior computer experience) showed no significant impact on CL outcomes. These findings contribute to the CL and health literacy literatures and infer that CL can be a useful method for improving older adults' e-health literacy when using the specific strategies developed for this study, which suggests that social interdependence theory can be generalized beyond the younger population and formal educational settings.

Type

a

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Abstract

A theory-driven, older adult-oriented e-health literacy intervention was developed and tested to generate scientific knowledge about the potential impact of learning methods and information presentation channels. The experimental design was a 2 × 2 × 2 mixed factorial design with learning method (collaborative, individualistic) and presentation channel (visual only, visual plus auditory) as the between-subjects variables and time of measurement (pre-, post-) as the within-subjects variable. One hundred twenty-four older adults (age: M = 68.15, SD = 9.00) participated during September 2010-February 2011. No significant interaction or main effect of learning method and information presentation channel was found, suggesting the advantages of collaborative learning over individualistic learning or the redundancy effect might not be easily generalized to older adults in similar experimental conditions. Time of measurement had significant main effects on e-health literacy efficacy, perceived usefulness of e-health literacy skills, and e-health literacy skills (p <.001 in all three cases; power = 1.00 or .98). These findings suggest that the intervention, regardless of its specific combination of learning method and information presentation channel, was effective in improving e-health literacy from pre- to postintervention. The findings contribute to the collaborative learning, multimedia learning, and e-health literacy literatures.

Type

a

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Abstract

Understanding the factors that influence trust in public health information is critical for designing successful public health campaigns during pandemics such as COVID-19. We present findings from a cross-sectional survey of 454 US adults-243 older (65+) and 211 younger (18-64) adults-who responded to questionnaires on human values, trust in COVID-19 information sources, attention to information quality, self-efficacy, and factual knowledge about COVID-19. Path analysis showed that trust in direct personal contacts (B = 0.071, p = .04) and attention to information quality (B = 0.251, p < .001) were positively related to self-efficacy for coping with COVID-19. The human value of self-transcendence, which emphasizes valuing others as equals and being concerned with their welfare, had significant positive indirect effects on self-efficacy in coping with COVID-19 (mediated by attention to information quality; effect = 0.049, 95% CI 0.001-0.104) and factual knowledge about COVID-19 (also mediated by attention to information quality; effect = 0.037, 95% CI 0.003-0.089). Our path model offers guidance for fine-tuning strategies for effective public health messaging and serves as a basis for further research to better understand the societal impact of COVID-19 and other public health crises.

Type

a