Evidence map›Paper›PMID 22586287›Full record

ArticleBMJ open2012

A four-country survey of public attitudes towards restricting healthcare costs by limiting the use of high-cost medical interventions.

Robert J Blendon, John M Benson, Michael D Botta, Deborah Zeldow, Minah Kang Kim

Abstract read
In one paragraph

Article in BMJ open, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Robert J BlendonDepartment of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, USA.
John M Benson
Michael D Botta
Deborah Zeldow
Minah Kang Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo discern how the public in four countries, each with unique health systems and cultures, feels about efforts to restrain healthcare costs by limiting the use of high-cost prescription drugs and medical/surgical treatments.

designCross-sectional survey.

settingAdult populations in Germany, Italy, the UK and the USA.

participants2517 adults in the four countries. A questionnaire survey conducted by telephone (landline and cell) with randomly selected adults in each of the four countries.

main outcome measuresSupport for different rationales for not providing/paying for high-cost prescription drugs/medical or surgical treatments, measured in the aggregate and using four case examples derived from actual decisions. Measures of public attitudes about specific policies involving comparative effectiveness and cost-benefit decision making.

resultsThe survey finds support among publics in four countries for decisions that limit the use of high-cost prescription drugs/treatments when some other drug/treatment is available that works equally well but costs less. The survey finds little public support, either in individual case examples or when asked in the aggregate, for decisions in which prescription drugs/treatments are denied on the basis of cost or various definitions of benefits. The main results are based on majorities of the public in each country supporting or opposing each measure.

conclusionsThe survey findings indicate that the public distinguishes in practice between the concepts of comparative effectiveness and cost-effectiveness analysis. This suggests that public authorities engaged in decision-making activities will find much more public support if they are dealing with the first type of decision than with the second.

Identifiers

PMID22586287
PMCPMC3358613

What OpenQuestion holds

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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.