Evidence map›Paper›PMID 21904600›Full record

ArticlePloS one2011

Age as a criterion for setting priorities in health care? A survey of the German public view.

Adele Diederich, Jeannette Winkelhage, Norman Wirsik

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Priority setting in the German healthcare system: results from a discrete choice experiment.International journal of health economics and management · 2023
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  9. Review
  10. Public engagement in setting healthcare priorities: a ranking exercise in Cyprus.Cost effectiveness and resource allocation : C/E · 2017
    Article
  11. Citizens' preferences on healthcare expenditure allocation: evidence from Greece.Health expectations : an international journal of public participation in health care and health policy · 2016
    Article
  12. Are some QALYs more equal than others?The European journal of health economics : HEPAC : health economics in prevention and care · 2016
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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

3 authors.

Adele DiederichSchool of Humanities and Social Sciences, Jacobs University, Bremen, Germany. a.diederich@jacobs-university.de
Jeannette Winkelhage
Norman Wirsik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the German health care system has budget constraints similar to many other countries worldwide, a discussion on prioritization has not gained the attention of the public yet. To probe the acceptance of priority setting in medicine, a quantitative survey representative for the German public (n = 2031) was conducted. Here we focus on the results for age, a highly disputed criterion for prioritizing medical services. This criterion was investigated using different types of questionnaire items, from abstract age-related questions to health care scenarios, and discrete choice settings, all performed within the same sample. Several explanatory variables were included to account for differences in preference; in particular, interviewee's own age but also his or her sex, socioeconomic status, and health status. There is little evidence that the German public accepts age as a criterion to prioritize health care services.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsData CollectionDelivery of Health CareFemaleGermanyHealth PrioritiesHumansMaleMiddle AgedPublic OpinionSurveys and QuestionnairesYoung Adult

Identifiers

PMID21904600
PMCPMC3164130

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.