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ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

EQ-5D-3L health status and health state utilities of the oldest-old (85 +) in Germany: results from the AgeCoDe-AgeQualiDe study.

Hans-Helmut König, Christian Brettschneider, Dagmar Lühmann, Hanna Kaduszkiewicz, Anke Oey, Birgitt Wiese, Jochen Werle, Siegfried Weyerer, Angela Fuchs, Michael Pentzek and 10 more

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Health-related quality of life among older adults following acute hospitalization: longitudinal analysis of a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Trial
  2. Article
  3. How to Assess Health Gains.Healthcare (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Feasibility and validity of the EQ-5D-3L in the elderly Europeans: a secondary data analysis using SHARE(d) data.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
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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

20 authors.

Hans-Helmut KönigDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. h.koenig@uke.de.ORCID http://orcid.org/0000-0001-5711-6862
Christian BrettschneiderDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Dagmar LühmannDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Hanna KaduszkiewiczInstitute of General Practice, Medical Faculty, Kiel University, Kiel, Germany.
Anke OeyInstitute of General Practice, Hannover Medical School, Hannover, Germany.
Birgitt WieseInstitute of General Practice, Hannover Medical School, Hannover, Germany.
Jochen WerleCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Angela FuchsInstitute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Michael PentzekInstitute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Ines ConradInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
Susanne RöhrInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
Dagmar WeegDepartment of Psychiatry, Technical University of Munich, Munich, Germany.
Horst BickelDepartment of Psychiatry, Technical University of Munich, Munich, Germany.
Kathrin HeserDepartment for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany.
Michael WagnerDepartment for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany.
Martin SchererDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Wolfgang MaierDepartment for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
André HajekDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 01GI0102Bundesministerium für Bildung und Forschung 01GI0422Bundesministerium für Bildung und Forschung 01GI0423Bundesministerium für Bildung und Forschung 01GI0429Bundesministerium für Bildung und Forschung 01GI0431Bundesministerium für Bildung und Forschung 01GI0433Bundesministerium für Bildung und Forschung 01GI0434Bundesministerium für Bildung und Forschung 01GI0710Bundesministerium für Bildung und Forschung 01GI0711Bundesministerium für Bildung und Forschung 01GI0712Bundesministerium für Bildung und Forschung 01GI0713Bundesministerium für Bildung und Forschung 01GI0714Bundesministerium für Bildung und Forschung 01GI0715Bundesministerium für Bildung und Forschung 01GI0716Bundesministerium für Bildung und Forschung 01GL1714ABundesministerium für Bildung und Forschung 01GL1714BBundesministerium für Bildung und Forschung 01GL1714CBundesministerium für Bildung und Forschung 01GY1322ABundesministerium für Bildung und Forschung 01GY1322DBundesministerium für Bildung und Forschung 01GY1322EBundesministerium für Bildung und Forschung 01GY1322FBundesministerium für Bildung und Forschung (DE) 01GI0420Bundesministerium für Bildung und Forschung (DE) 01GL1714DBundesministerium für Bildung und Forschung (DE) 01GY1322BBundesministerium für Bildung und Forschung (DE) 01GY1322CBundesministerium für Bildung und Forschung (DE) 01GY1322G
6 · The paper itself

Abstract

purposeTo describe health status and health state utilities measured by the EQ-5D-3L in a population-based sample of individuals aged 85 + in Germany, and to analyze associations with basic socio-demographic variables.

methodsCross-sectional data from follow-up wave 7 (n = 761) of the German AgeCoDe Study were used. The EQ-5D-3L questionnaire was used to record problems in five health dimensions, its visual analogue scale (EQ VAS) was used to record self-rated health status, and the German EQ-5D-3L index was used to derive health state utilities.

resultsMean age of respondents was 88.9 years (SD 2.9; range 85 to 100), 67.4% were female. 81.9% reported problems in at least one of the EQ-5D dimensions, with 15.3% reporting extreme problems. Most frequent were problems with pain/discomfort (64.8%), followed by mobility (62.5%), usual activities (42.6%), self-care (28.2%), and anxiety/depression (20.5%). Mean EQ VAS score was 62.4 (SD 18.8), and mean EQ-5D index was 0.77 (SD 0.24). Multiple regression analysis showed associations of problem frequency in various EQ-5D dimensions with age, gender, living situation, marital status, and education. The EQ VAS score was negatively associated with age (β =  - 0.56; p < 0.05) and female gender (β =  - 3.49; p < 0.05). The EQ-5D index was negatively associated with not living in the community (β =  - 0.10; p < 0.001) and being single (β =  - 0.09; p < 0.05).

conclusionsThe results show a substantially impaired health status of the oldest-old population. The data can be used for comparing health status of population groups as well as for health economic models.

Indexed as

Health StatusAged, 80 and overAgingCross-Sectional StudiesDepressionFemaleGermanyHealthHumansMaleMultivariate AnalysisPainPain MeasurementPsychometricsQuality of LifeSelf CareEQ-5DHealth-related quality of lifeHealth state utilitiesOldest-old

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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.