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Health Information Disorders Models: A Scoping Review
Amir Zalpour1, Mohammadreza Hashemian2, Ehsan Geraei3
1Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
This review identifies Health Information Disorders (HIDs) models, their components, and settings. Future research needs contextual frameworks for HIDs and broader disease applicability beyond COVID-19.
Area of Science:
- Health Informatics
- Information Science
- Public Health
Background:
- Health Information Disorders (HIDs) pose a significant challenge in public health.
- Understanding the structure and components of existing HID models is crucial for effective intervention.
Purpose of the Study:
- To conduct a scoping review of Health Information Disorders (HIDs) models.
- To identify the components, study settings, and design approaches of these models.
Main Methods:
- A comprehensive search of major databases including PubMed, Web of Science, Scopus, ProQuest, and Embase.
- Screening of identified articles, with 22 studies selected for data extraction and narrative synthesis.
Main Results:
- Most studies presented conceptual models or frameworks for HIDs.
- Key components identified include information, communication, psychological, social, and theoretical elements.
- COVID-19 and vaccination were the predominant study settings.
Conclusions:
- A need exists for context-specific HID models to understand their societal impact.
- Future models should expand beyond COVID-19 to encompass diverse healthcare landscapes and diseases.
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