Evidence map›Paper›PMID 36385438›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2023

Assessment of health-related quality of life in individuals with depressive symptoms: validity and responsiveness of the EQ-5D-3L and the SF-6D.

Maike Stolz, Christian Albus, Manfred E Beutel, Hans-Christian Deter, Kurt Fritzsche, Christoph Herrmann-Lingen, Matthias Michal, Katja Petrowski, Joram Ronel, Jobst-Hendrik Schultz and 4 more

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 10 institutions in 2 countries.

Maike StolzInstitute of Epidemiology Social Medicine and Health System Research, Hannover Medical School, Hanover, Germany. stolz.maike@mh-hannover.de.
Christian AlbusDepartment of Psychosomatics and Psychotherapy, University of Cologne, Cologne, Germany.
Manfred E BeutelDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Hans-Christian DeterDepartment of Psychosomatics and Psychotherapy, Charité Universitaetsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Kurt FritzscheFaculty of Medicine, Department of Psychosomatic Medicine and Psychotherapy, Medical Center-University of Freiburg, Freiburg, Germany.
Christoph Herrmann-LingenDepartment of Psychosomatic Medicine and Psychotherapy, University of Göttingen Medical Center, Göttingen, Germany.
Matthias MichalDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, Mainz, Germany.
Katja PetrowskiDepartment of Psychotherapy and Psychosomatics, Technical University of Dresden, Dresden, Germany.
Joram RonelDepartment of Psychosomatic Medicine and Psychotherapy, Clinic Barmelweid, Barmelweid, Switzerland.
Jobst-Hendrik SchultzDepartment of General Internal Medicine and Psychosomatics, Heidelberg University Hospital, Heidelberg, Germany.
Wolfgang SöllnerDepartment of Psychosomatic Medicine and Psychotherapy, Paracelsus Medical University Nuremberg, Nuremberg, Germany.
Cora WeberDepartment of Psychosomatic Medicine and Psychotherapy, Oberhavel Clinic, Clinic Hennigsdorf, Hennigsdorf, Germany.
Martina de ZwaanDepartment of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hanover, Germany.
Christian KrauthInstitute of Epidemiology Social Medicine and Health System Research, Hannover Medical School, Hanover, Germany.
Medizinische Hochschule Hannover · DEJohannes Gutenberg University Mainz · DECharité - Universitätsmedizin Berlin · DEHeidelberg University · DEKlinik Barmelweid · CHParacelsus Medizinische Privatuniversität · DETechnische Universität Dresden · DEUniversity Medical Center Freiburg · DEUniversity of Cologne · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe EQ-5D and the SF-6D are examples of commonly used generic preference-based instruments for assessing health-related quality of life (HRQoL). However, their suitability for mental disorders has been repeatedly questioned.

objectiveTo assess the responsiveness and convergent validity of the EQ-5D-3L and SF-6D in patients with depressive symptoms.

methodsThe data analyzed were from cardiac patients with depressive symptoms and were collected as part of the SPIRR-CAD (Stepwise Psychotherapy Intervention for Reducing Risk in Coronary Artery Disease) trial. The EQ-5D-3L and SF-6D were compared with the HADS (Hospital Anxiety and Depression Scale) and PHQ-9 (Patient Health Questionnaire) as disease-specific instruments. Convergent validity was assessed using Spearman's rank correlation. Effect sizes were calculated and ROC analysis was performed to determine responsiveness.

resultsData from 566 patients were analysed. The SF-6D correlated considerably better with the disease-specific instruments (|r

conclusionOverall, both the convergent validity and responsiveness of the SF-6D are better than those of the EQ-5D-3L in patients with depressive symptoms. The SF-6D appears, therefore, more recommendable for use in studies to evaluate interventions for this population.

Indexed as

Mental DisordersQuality of LifeDepressionHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesEQ-5D-3LMental disorderResponsivenessSF-6DValidity

Identifiers

PMID36385438
PMCPMC10533591
OpenAlexW4309244149

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.