Review of Disease Risk Perception Assessment Tools for Chronic Conditions
by Fei Yang·Updated 1mo ago
95.2 KB1files
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Description
A 95.2 KB narrative review summarizing existing risk perception assessment tools, analyzing their theoretical foundations, structures, and psychometric properties. The document, authored by Fei Yang and licensed under CC-BY-4.0, was last updated on 2026-05 08. It traces the evolution of tools from generic scales to disease-specific evaluations for conditions like cardiovascular disease, stroke, cancer, and diabetes.
Use Cases
Comparing theoretical frameworks like the Health Belief Model and Risk Perception Theory based on the review's analysis.
Evaluating the psychometric properties of existing assessment tools for conditions such as diabetes or cancer.
Identifying gaps in current instruments, such as insufficient cross-cultural validation or limited integration of emotional factors.
Informing the design of future multidimensional tools that integrate both rationality and emotion.
Strengths
File size is precisely 95.2 KB, indicating a concise, focused document.
The review explicitly analyzes tools for specific chronic conditions: cardiovascular disease, stroke, cancer, and diabetes.
License is clearly stated as CC-BY-4.0, permitting broad reuse with attribution.
Last update date is provided as 2026-05-08, suggesting recent compilation.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is unknown, which may limit suitability assessment for quantitative analysis.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
figshare
Collection Method
Narrative review and synthesis of existing literature.
Time Range
Review compilation date is 2026-05-08; temporal coverage of reviewed tools is unspecified.
Freshness
Last updated 2026-05-08 05:51:49; freshness should be verified.
Geography
Spatial coverage is unspecified; the review notes a challenge of insufficient cross-cultural validation.
The primary file format is PDF, a document format not directly machine-readable as structured data.