Related Experiment Video
Updated: Jun 13, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
Published on: August 16, 2024
Validation of the Spanish version of the DEMQOL system
Ramona Lucas-Carrasco1, Donna L Lamping, Sube Banerjee
1Institut de l'Envelliment, Universitat Autònoma de Barcelona, 08041 Barcelona, Spain. Ramona.Lucas@uab.es
Background:
Dementia is associated with poor quality of life, but generic measures do not fully capture main aspects of these conditions. Our aim was to validate a Spanish version of the "dementia-specific health-related quality of life" DEMQOL system.
Methods:
We validated the Spanish DEMQOL and DEMQOL-Proxy in 119 people with dementia from six centers and their caregivers. Patient-reported information, including generic (WHOQOL-BREF) and dementia-specific (DEMQOL) health-related quality of life, depressive symptoms (GDS-15), functional ability (Barthel Index), subjective perception of health and demographic information, was obtained by interview. Proxy-reported information from a family caregiver about the patient's quality of life (DEMQOL-Proxy) was also obtained by interview.
Results:
The Spanish DEMQOL showed good psychometric properties. Acceptability (14.3% missing data), internal consistency (Cronbach's alpha = 0.85) and test-retest reliability (ICC = 0.71) were good. A priori hypotheses about the relationship between DEMQOL and the WHOQOL-BREF (psychological and physical domains), GDS-15 and Barthel Index were confirmed, indicating good construct validity. Associations between DEMQOL-Proxy and other measures were weaker. A three-factor solution accounted for 44.4% of the total variance of DEMQOL, and a four-factor solution accounted for 53.3% of the total variance of DEMQOL- Proxy.
Conclusion:
The Spanish versions of DEMQOL and DEMQOL-Proxy are reliable and valid in patients with mild/moderate dementia who are living at home.
Related Concept Videos
Data Validation
Key parameters for method validation include:
Detection of Gross Error: The Q Test
Quality Assurance
Drug Dissolution: Requirements and Profile Comparison
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Reliability and Validity
