Evidence map›Paper›PMID 25884821›Full record

ArticleInternational journal for equity in health2015

Social inequalities in patient-reported outcomes among older multimorbid patients--results of the MultiCare cohort study.

Olaf von dem Knesebeck, Horst Bickel, Angela Fuchs, Jochen Gensichen, Susanne Höfels, Steffi G Riedel-Heller, Hans-Helmut König, Karola Mergenthal, Gerhard Schön, Karl Wegscheider and 5 more

Abstract read
In one paragraph

Article in International journal for equity in health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Multimorbidity Development in Working People.International journal of environmental research and public health · 2019
    Article
  9. Article
  10. Is Transient and Persistent Poverty Harmful to Multimorbidity?: Model Testing Algorithms.International journal of environmental research and public health · 2019
    Article
  11. [Socioeconomic inequalities in health in later life].Zeitschrift fur Gerontologie und Geriatrie · 2019
    Review
  12. Distinct attentional function profiles in older adults receiving cancer chemotherapy.European journal of oncology nursing : the official journal of European Oncology Nursing Society · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

15 authors.

Olaf von dem KnesebeckDepartment of Medical Sociology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. o.knesebeck@uke.de.
Horst BickelDepartment of Psychiatry, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. h.bickel@lrz.tu-muenchen.de.
Angela FuchsInstitute of General Practice, University of Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany. Angela.Fuchs@med.uni-duesseldorf.de.
Jochen GensichenInstitute of General Practice, University Hospital Jena, Bachstraße 18, 07743, Jena, Germany. jochen.gensichen@med.uni-jena.de.
Susanne HöfelsDepartment of Psychiatry and Psychotherapy, University of Bonn, Sigmund-Freud-Straße 25, 53105, Bonn, Germany. w.maier@uni-bonn.de.
Steffi G Riedel-HellerInstitute for Social Medicine, Occupational Health and Public Health, University of Leipzig, Semmelweisstr. 10, 04103, Leipzig, Germany. ries@medizin.uni-leipzig.de.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. h.koenig@uke.de.
Karola MergenthalInstitute for General Practice, University of Frankfurt am Main, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. Mergenthal@allgemeinmedizin.uni-frankfurt.de.
Gerhard SchönDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. G.Schoen@uke.de.
Karl WegscheiderDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. k.wegscheider@uke.uni-hamburg.de.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J 5, 68159, Mannheim, Germany. Siegfried.Weyerer@zi-mannheim.de.
Birgitt WieseInstitute for General Practice, WG Medical Statistics and IT-Infrastructure, Hannover Medical School, 30623, Hannover, Germany. Wiese.Birgitt@MH-Hannover.de.
Martin SchererDepartment of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. m.scherer@uke.de.
Hendrik van den BusscheDepartment of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. bussche@uke.uni-hamburg.de.
Ingmar SchäferDepartment of Primary Medical Care, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. in.schaefer@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn this article three research questions are addressed: (1) Is there an association between socioeconomic status (SES) and patient-reported outcomes in a cohort of multimorbid patients? (2) Does the association vary according to SES indicator used (income, education, occupational position)? (3) Can the association between SES and patient-reported outcomes (self-rated health, health-related quality of life and functional status) be (partly) explained by burden of disease?

methodsAnalyses are based on the MultiCare Cohort Study, a German multicentre, prospective, observational cohort study of multimorbid patients from general practice. We analysed baseline data and data from the first follow-up after 15 months (N = 2,729). To assess burden of disease we used the patients' morbidity data from standardized general practitioner (GP) interviews based on a list of 46 groups of chronic conditions including the GP's severity rating of each chronic condition ranging from marginal to very severe.

resultsIn the cross-sectional analyses SES was significantly associated with the patient-reported outcomes at baseline. Associations with income were more consistent and stronger than with education and occupational position. Associations were partly explained (17% to 44%) by burden of disease. In the longitudinal analyses only income (but not education and occupational position) was significantly related to the patient-reported outcomes at follow-up. Associations between income and the outcomes were reduced by 18% to 27% after adjustment for burden of disease.

conclusionsResults indicate social inequalities in self-rated health, functional status and health related quality of life among older multimorbid patients. As associations with education and occupational position were inconsistent, these inequalities were mainly due to income. Inequalities were partly explained by burden of disease. However, even among patients with a similar disease burden, those with a low income were worse off in terms of the three patient-reported outcomes under study.

Indexed as

ComorbidityQuality of LifeSocial ClassSocioeconomic FactorsAgedChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Outcome AssessmentProspective StudiesRisk FactorsSurveys and Questionnaires

Identifiers

PMID25884821
PMCPMC4322453

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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.