EuroQol Visual Analogue Scale (EQ-VAS): Health Status
Patients use the EQ-VAS to rate their health on a scale from 0 to 100. This simple visual tool helps clinicians understand exactly how a person feels about their health today.

EuroQol Visual Analogue Scale (EQ-VAS)
The EuroQol Visual Analogue Scale (EQ-VAS) records a patient's self-rated health on a vertical line from 0 to 100. This quantitative measure offers a direct snapshot of personal wellbeing, often complementing the EQ-5D. It's crucial for monitoring health changes and understanding the patient's point of view.
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Disease
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What is EuroQol Visual Analogue Scale (EQ-VAS)
The EuroQol Visual Analogue Scale (EQ-VAS) is a smart option for measuring self-rated health. It helps clinicians see exactly how a patient feels on the day. Designed like a vertical thermometer, the layout is simple to read and mark. It focuses on the respondent's personal view rather than relying solely on clinical test results. The scale runs from 0 to 100, where 100 represents the best imaginable health and 0 indicates the worst. Patients simply draw a line to show where they fit, turning subjective feelings into a clear score that is easy to track over time. Taking only a minute to complete, the EQ-VAS works well on paper or digital tablets. It is handy for clinical trials and routine checks because it captures subtle changes in quality of life that other forms might miss. This quantitative data helps healthcare teams plan better treatments for the future.
The EuroQol Visual Analogue Scale (EQ-VAS) is scored using a single direct approach based on patient input. It asks patients to rate their health on a vertical thermometer style scale ranging from 0 to 100. Here, 0 represents the worst health you can imagine and 100 means the best health you can imagine. You simply record the number where the respondent marks the line. This gives a quantitative measure of their overall health status on that specific day. It is a handy way to track changes over time without needing complex math or value sets.
Advantages
Measures healthcare intervention results systematically.
Serves diverse clinical needs effectively.
Simple to understand and complete for patients.
Streamlines research data gathering process.
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