Usefulness of EQ-5D in assessing health status in primary care patients with major depressive disorder
Open accessAbstract
OBJECTIVES: Major depressive disorder (MDD) is a prevalent psychiatric disorder associated with impaired patient functioning and reductions in health-related quality of life (HRQL). The present study describes the impact of MDD on patients' HRQL and examines preference-based health state differences by patient features and clinical characteristics. METHODS: 95 French primary care practitioners recruited 250 patients with a DSM-IV diagnosis of MDD for inclusion in an eight-week follow-up cohort. Patient assessments included the Montgomery Asberg Depression Rating Scale (MADRS), the Clinical Global Impression of Severity (CGI), the Short Form-36 Item scale (SF-36), the Quality of Life Depression Scale (QLDS) and the EuroQoL (EQ-5D). RESULTS: The mean EQ-5D utility at baseline was 0.33, and 8% of patients rated their health state as worse than death. There were no statistically significant differences in utilities by demographic features. Significant differences were found in mean utilities by level of disease severity assessed by CGI. The different clinical response profiles, assessed by MADRS, were also revealed by EQ-5D at endpoint: 0.85 for responders remitters, 0.72 for responders non-remitter, and 0.58 for non-responders. Even if HRQL and EQ-5D were moderately correlated, they shared only 40% of variance between baseline and endpoint. CONCLUSIONS: Self-reported patient valuations for depression are important patient-reported outcomes for cost-effectiveness evaluations of new antidepressant compounds and help in further understanding patient compliance with antidepressant treatment.
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Preference-based utilities derived from the EQ-5D-5L are suitable for calculating quality-adjusted life-years in the field of depression.
“This approach is evaluated suitable for this purpose in the field of depression (Lamers et al., 2006; Sapin et al., 2004).”
From The efficacy of automated feedback after internet-based depression screening: Study protocol of the German, three-armed, randomised controlled trial DISCOVER (2021) · cites this paper as Sapin et al., 2004
The Discussion says utility scores are needed to calculate QALYs and that the EQ-5D measure can be applied to cost-utility analyses of depression treatments. However, the Data collection section specifies three response levels per dimension, not the five-level EQ-5D-5L named in the claim. Page numbers are not available in the supplied copy. (LLM, conf=0.90)
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- Authors
- Sapin
- Venue
- Health and Quality of Life Outcomes
- Published
- 2004
- Volume
- 2
- Issue
- 1
- Pages
- 20
- ISSN
- 1477-7525 (ISSN-L)
- PMC
- PMC416488
- OpenAlex
- W2146743061
- Cited by
- 161
- References
- 40
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 11 · 2020: 7 · 2019: 5 · 2018: 9 · 2017: 7 · 2016: 11 · 2015: 7 · 2014: 11 · 2013: 13 · 2012: 5
- FWCI
- 20.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Health and Quality of Life Outcomes (publishedVersion)
- PubMed Central (publishedVersion, other-oa)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- H. Lundbeck A/S
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- major depressive disorder, EQ-5D, health-related quality of life, health utility, patient-reported outcomes, primary care, disease severity, treatment response, cost-effectiveness
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Major Depressive Disorder, Family Practice, Female, France, Humans, Male, Middle Aged, Primary Health Care, Prospective Studies, Quality of Life, Surveys and Questionnaires, Self-Assessment, Severity of Illness Index, Reproducibility of Results, Outcome Assessment, Health Care, Sickness Impact Profile
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