Comparing the Measurement Equivalence of EQ-5D-5L Across Different Modes of Administration
Initiatives
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The aim of this study was to compare the equivalence of delivering a widely used generic measure of health status (EQ-5D-5L) across two administration modes (paper and mobile phone).
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2014
- End Year
- 2014
Design
- Study design
- Clinical trial cohort
Marker Paper
Mulhern B, O'Gorman H, Rotherham N, Brazier J. Comparing the measurement equivalence of EQ-5D-5L across different modes of administration. Health Qual Life Outcomes. 2015;13:191. Published 2015 Nov 26. doi:10.1186/s12955-015-0382-6
PUBMED 26612336
Number of participants
- Number of participants
- 200
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
Respondents from a research cohort of people in South Yorkshire
Eligible respondents were identified and stratified across five agegroups (18–30; 31–40; 41–50; 51–60 and 60+) and gender.A random sample of 200 respondents across the age groupsandwhoself-reportedarangeofhealthconditionswasthen selected and randomly allocated to each arm.
Selection Criteria
- Minimum age
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18
- Newborns
- Twins
- Countries
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- United Kingdom
- Territory
- South Yorkshire
- Ethnic Origin
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- Health Status
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Recruitment
- Sources of recruitment
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- Participants from existing studies
- Participants from existing studies
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- Yorkshire Health Study
Number of participants
- Number of participants
- 200
- Number of participants with biosamples
Data Collection Event
The aim of this study is to compare the equivalence of delivering a widely usedgeneric measure of health status (EQ-5D-5L) across two administration modes (paper and mobile phone).
- Start Date
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2014-02
- End Date
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2014-09
- Data sources
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Mobile data collection
- Mobile phone
- Smartphone
- Smartphone apps
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Mobile data collection