Findability in health information websites

Samuel, Hamman; Zaı̈ane, Osmar R.; Zaiane, Jane Robertson

doi:10.1109/bhi.2012.6211681

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…This can be caused either by the participants are curious or the sign was confused and not clear [33]. Findability is a measure how easily specific health-related content can be found by information consumer [34]. In order to improve the findability of a website, health websites are proposed to dynamically refresh their home page based on consumers` search and click-through habits [34].…”

Section: Navigationmentioning

confidence: 99%

“…Findability is a measure how easily specific health-related content can be found by information consumer [34]. In order to improve the findability of a website, health websites are proposed to dynamically refresh their home page based on consumers` search and click-through habits [34]. Navigation menu and links on the homepage are rarely used.…”

Section: Navigationmentioning

confidence: 99%

See 1 more Smart Citation

A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients

Saludin¹,

Maarop²,

Zainuddin³

et al. 2018

IJET

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Undeniably, there are several reasons to be connected to the Internet. In healthcare, finding health information from the Internet and websites is common among the global community. Searching health information over the Internet can assists chronic-disease patients in self-managing their health condition. Self-management program with Information Technology empowerment would improve time, distance and traffic barriers because it is easily accessible, up-to-date, and offers tailored feedback to patients` health status. There is great demand of health websites use though at the same time users are facing concerns and limitations due to medical jargons use and navigational problems. Hence, there is a strong reason why more studies need to be conducted in this particular area especially in the design and development of health websites. Based on a review of relevant papers, this paper aims to propose a model for websites design features for self-management of chronic-diseases patients. Ten relevant features of health websites are extracted and proposed in this study. The study may be beneficial to health websites users and eventually improve their health conditions.

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Section: Navigationmentioning

confidence: 99%

Section: Navigationmentioning

confidence: 99%

A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients

Saludin¹,

Maarop²,

Zainuddin³

et al. 2018

IJET

View full text Add to dashboard Cite

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Designing Health Websites Based on Users’ Web-Based Information-Seeking Behaviors: A Mixed-Method Observational Study

Li¹,

Chang²,

Verspoor³

et al. 2016

J Med Internet Res

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BackgroundLaypeople increasingly use the Internet as a source of health information, but finding and discovering the right information remains problematic. These issues are partially due to the mismatch between the design of consumer health websites and the needs of health information seekers, particularly the lack of support for “exploring” health information.ObjectiveThe aim of this research was to create a design for consumer health websites by supporting different health information–seeking behaviors. We created a website called Better Health Explorer with the new design. Through the evaluation of this new design, we derive design implications for future implementations.MethodsBetter Health Explorer was designed using a user-centered approach. The design was implemented and assessed through a laboratory-based observational study. Participants tried to use Better Health Explorer and another live health website. Both websites contained the same content. A mixed-method approach was adopted to analyze multiple types of data collected in the experiment, including screen recordings, activity logs, Web browsing histories, and audiotaped interviews.ResultsOverall, 31 participants took part in the observational study. Our new design showed a positive result for improving the experience of health information seeking, by providing a wide range of information and an engaging environment. The results showed better knowledge acquisition, a higher number of page reads, and more query reformulations in both focused and exploratory search tasks. In addition, participants spent more time to discover health information with our design in exploratory search tasks, indicating higher engagement with the website. Finally, we identify 4 design considerations for designing consumer health websites and health information–seeking apps: (1) providing a dynamic information scope; (2) supporting serendipity; (3) considering trust implications; and (4) enhancing interactivity.ConclusionsBetter Health Explorer provides strong support for the heterogeneous and shifting behaviors of health information seekers and eases the health information–seeking process. Our findings show the importance of understanding different health information–seeking behaviors and highlight the implications for designers of consumer health websites and health information–seeking apps.

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Social Media for ImpLementing Evidence (SMILE): Conceptual Framework (Preprint)

Zhao¹,

Harvey²,

Vandyk³

et al. 2021

Preprint

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BACKGROUND Social media has become widely used by individual researchers and professional organizations to translate research evidence into health care practice. Despite its increasing popularity, few social media initiatives consider the theoretical perspectives of how social media works as a knowledge translation strategy to affect research use. OBJECTIVE The purpose of this paper is to propose a conceptual framework to understand how social media works as a knowledge translation strategy for health care providers, policy makers, and patients to inform their health care decision-making. METHODS We developed this framework using an integrative approach that first involved reviewing 5 long-standing social media initiatives. We then drafted the initial framework using a deductive approach by referring to 5 theories on social media studies and knowledge translation. A total of 58 empirical studies on factors that influenced the use of social media and its messages and strategies for promoting the use of research evidence via social media were further integrated to substantiate and fine-tune our initial framework. Through an iterative process, we developed the Social Media for ImpLementing Evidence (SMILE) framework. RESULTS The SMILE framework has six key constructs: developers, messages and delivery strategies, recipients, context, triggers, and outcomes. For social media to effectively enable recipients to use research evidence in their decision-making, the framework proposes that social media content developers respond to target recipients’ needs and context and develop relevant messages and appropriate delivery strategies. The recipients’ use of social media messages is influenced by the virtual–technical, individual, organizational, and system contexts and can be activated by three types of triggers: sparks, facilitators, and signals. CONCLUSIONS The SMILE framework maps the factors that are hypothesized to influence the use of social media messages by recipients and offers a heuristic device for social media content developers to create interventions for promoting the use of evidence in health care decision-making. Empirical studies are now needed to test the propositions of this framework.

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Findability in health information websites

Cited by 3 publications

References 9 publications

A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients

A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients

Designing Health Websites Based on Users’ Web-Based Information-Seeking Behaviors: A Mixed-Method Observational Study

Social Media for ImpLementing Evidence (SMILE): Conceptual Framework (Preprint)

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