Article #2: The quality of health information on the internet
This week's theme issue attempts to provide a framework for thinking about the quality of health information on the internet—a source of anxiety almost since its first appearance.
Five years ago Impicciatore and colleagues reviewed website advice on managing fever in children and concluded that it varied widely in terms of accuracy, completeness, and consistency.1 Pick any medical problem today, and the chances are you'll find the same. With at least 80 studies reporting similar findings (G Eysenbach, personal communication), we need no more convincing that the quality of information on the web varies as widely as it does in other media.
In 1997 Gagliardi and Jadad identified 47 instruments for measuring healthcare quality on the internet. Four years later, they found another 51—all of them unvalidated (p 569).2 Generating yet more unproved instruments looks like another activity that researchers could usefully stop. However, the proliferation of tools for assessing quality continues unabated, fuelled by anxieties about patient harm. As our international roundup shows (pp 566-7), countries now seem poised to get in on the act, although little beyond urban myths exists to justify the level of their concerns.3
Health information on the internet ranges from personal accounts of illnesses and patient discussion groups to peer reviewed journal articles and clinical decision support tools. Defining a single quality standard for such a disparate collection of resources is challenging. Furthermore, different users may have different criteria for quality. Patients and caregivers may want simple explanations and reassurance, whereas healthcare professionals may want data from clinical trials.
Criteria for determining quality can be organised by their applicability to various dimensions of online health information, such as content, type, and intended audience. For standards pertaining only to content we can use traditional metrics, such as the levels of evidence and strength of recommendations.4 The type of information also affects which measures are applicable. Medical knowledge can be evaluated by scientific standards, whereas literary or journalistic criteria may be more appropriate for personal narratives. And the intended audience influences the measures of quality that are applicable to a particular type of content. Consumer health information should be written at a comprehensible reading level; often patients want pragmatic information, such as how long their illness will prevent them from working, before scientific details.5
Shepperd and Charnock argue against “exceptionalism” for medical information on the internet and support standards of quality that apply across media (p 556).6 While this approach may be appropriate for many aspects of electronic health resources, some features warrant special consideration. The interface to online information can be distinguished from the content, and the criteria for quality of an interface depend on the communication technology used. Principles for good web design differ from those for creation of high quality handheld applications. Furthermore, our concepts of quality change as the technology evolves. Nielsen's top 10 mistakes in web design remain relevant today (box),7 but their implications for usability have changed over time.8 Patients who seek online health information may have a variety of physical impairments, and it is important to develop resources that are usable by individuals with disabilities. The Web Accessibility Initiative provides guidelines for assuring broad accessibility to internet based information.9
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You can find a wide variety of answers on the internet from accurate to incorrect. Our teachers and educators should be knowledgable about the most up-to date information.
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When looking for answers and information about medicine and personal health, the average audience tends to want simplistic and straightforward answers while scientists and doctors are more drawn to clinical studies and cases.
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Medical information should be written at a comprehensible reading level, so that the average audience is able to understand (if being published onto the internet).
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