Individual Study / Mulhern et al.; Health Qual Life Outcomes. 2015

Comparing the Measurement Equivalence of EQ-5D-5L Across Different Modes of Administration

Comparing the Measurement Equivalence of EQ-5D-5L Across Different Modes of Administration

Initiatives -
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

Population

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
18
Newborns
Twins
Countries
  • United Kingdom
Territory
South Yorkshire
Ethnic Origin
Health Status

Recruitment

Sources of recruitment
  • Participants from existing studies
Participants from existing studies
  • 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
2014-02
End Date
2014-09
Data sources
  • Mobile data collection
    • Mobile phone
    • Smartphone
    • Smartphone apps