The Information Assessment Method: Over 15 years of research evaluating the value of health information.

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Title: The Information Assessment Method: Over 15 years of research evaluating the value of health information.
Authors: Granikov, Vera1,2 vera.granikov@mail.mcgill.ca, Grad, Roland2, El Sherif, Reem2, Shulha, Michael1,2, Chaput, Genevieve3, Doray, Genevieve4, Lagarde, François5, Rochette, Annie6, Tang, David Li1,2, Pluye, Pierre2, Pluye, Piere
Source: Education for Information. 2020, Vol. 36 Issue 1, p7-18. 12p. 2 Diagrams, 1 Chart.
Subject Terms: *Reflective learning, Medical informatics, Questionnaires, Primary care, Evidence-based medicine
Abstract: The Information Assessment Method (IAM) is unique, theory-driven, and validated by and for different audiences. Based on a theoretical model of information outcomes, the IAM questionnaire is organized in four levels: situational relevance, cognitive impact, use, and health outcomes of information. To evaluate health information, the IAM questionnaire has been used as an outcome measure providing feedback from the viewpoint of information users, who are clinicians, managers, patients or the public. The IAM stimulates the user to rate specific health information content online (e.g., on a webpage), thereby capturing their reflection (e.g., reflective learning) and feedback. Subsequently, ratings and comments can be used by information providers to improve their content. [ABSTRACT FROM AUTHOR]
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Database: Education Research Complete
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Abstract:The Information Assessment Method (IAM) is unique, theory-driven, and validated by and for different audiences. Based on a theoretical model of information outcomes, the IAM questionnaire is organized in four levels: situational relevance, cognitive impact, use, and health outcomes of information. To evaluate health information, the IAM questionnaire has been used as an outcome measure providing feedback from the viewpoint of information users, who are clinicians, managers, patients or the public. The IAM stimulates the user to rate specific health information content online (e.g., on a webpage), thereby capturing their reflection (e.g., reflective learning) and feedback. Subsequently, ratings and comments can be used by information providers to improve their content. [ABSTRACT FROM AUTHOR]
ISSN:01678329
DOI:10.3233/EFI-190348