Related Experiment Video
Updated: Aug 28, 2025
06:34
Evaluation of Left Ventricular Structure and Function using 3D Echocardiography
Published on: October 28, 2020
4.1K
Value Set for the EQ-5D-Y-3L in Hungary
Fanni Rencz1, Gábor Ruzsa2,3, Alex Bató4,5
1Department of Health Policy, Corvinus University of Budapest, 8 Fővám tér, 1093, Budapest, Hungary. fanni.rencz@uni-corvinus.hu.
Pharmacoeconomics
|September 19, 2022
Summary
This study developed Hungary's first national EQ-5D-Y-3L value set using adult preferences. This enables cost-utility analyses for pediatric health technologies in Hungary.
Area of Science:
- Health Economics
- Patient-Reported Outcomes
- Quality of Life Measurement
Background:
- Hungarian guidelines recommend EuroQol instruments for quality-adjusted life-year calculations.
- No existing national value set for the EQ-5D-Y-3L in Hungary for youth-specific health technology assessment.
Purpose of the Study:
- To develop a national value set for the EQ-5D-Y-3L in Hungary.
- To base the value set on the preferences of the general adult population.
Main Methods:
- Followed the international EQ-5D-Y-3L valuation protocol.
- Collected data using discrete choice experiment (DCE) and composite time trade-off (cTTO) tasks from representative adult samples.
- Modeled DCE data with a mixed logit model and mapped latent utilities onto observed cTTO utilities.
Main Results:
- 996 and 200 respondents completed DCE and cTTO surveys, respectively.
- Value set demonstrated larger utility decrements for more severe health states across all domains.
- The relative importance of domains was: pain > worry/sadness > mobility > usual activities > self-care. The worst health state had a utility of -0.485.
Conclusions:
- Successfully developed a national EQ-5D-Y-3L value set for Hungary.
- This value set facilitates cost-utility evaluations of health technologies for children and adolescents in Hungary, reflecting societal preferences.
Related Concept Videos
01:26Traditional Level Of Health Care System
2.9K
The levels of care describe the services provided in the healthcare system. Accordingly, there are six levels of the traditional healthcare system in the US: preventive, primary, secondary, tertiary, restorative, and continuing healthcare. A nurse must understand how the healthcare industry organizes and provides services within these levels of care.
The preventive healthcare service includes tests for screening. Preventive health care services include identifying and reducing disease risk...
The preventive healthcare service includes tests for screening. Preventive health care services include identifying and reducing disease risk...
2.9K
01:11Secondary Healthcare System
1.6K
Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
1.6K
00:55Ordinal Level of Measurement
25.4K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
25.4K
00:56Nominal Level of Measurement
30.3K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal...
30.3K
01:29Assessment of the Gastrointestinal System II: Health Perception Pattern
158
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
158
01:045-Number Summary
4.6K
In a dataset, the 5-number summary includes the minimum data value, the data value of the first quartile, the median data value or data value of the second quartile, the data value of the third quartile, and the maximum data value. These 5 data values can be visualized as a box and whisker plot.
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
4.6K