Evidence map›Paper›PMID 29442298›Full record

ArticlePharmacoEconomics - open2017

Communal Sharing and the Provision of Low-Volume High-Cost Health Services: Results of a Survey.

Jeff Richardson, Angelo Iezzi, Gang Chen, Aimee Maxwell

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Funding orphan medicinal products beyond price: sustaining an ecosystem.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Article
  6. 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

4 authors.

Jeff RichardsonCentre for Health Economics, Level 2, 15 Innovation Walk, Monash Business School, Monash University, Clayton, VIC, 3800, Australia. Jeffrey.richardson@monash.edu.
Angelo IezziCentre for Health Economics, Level 2, 15 Innovation Walk, Monash Business School, Monash University, Clayton, VIC, 3800, Australia.
Gang ChenCentre for Health Economics, Level 2, 15 Innovation Walk, Monash Business School, Monash University, Clayton, VIC, 3800, Australia.
Aimee MaxwellCentre for Health Economics, Level 2, 15 Innovation Walk, Monash Business School, Monash University, Clayton, VIC, 3800, Australia.

Funding

National Health and Medical Research Council 1069241
6 · The paper itself

Abstract

introductionThis paper suggests and tests a reason why the public might support the funding of services for rare diseases (SRDs) when the services are effective but not cost effective, i.e. when more health could be produced by allocating funds to other services. It is postulated that the fairness of funding a service is influenced by a comparison of the average patient benefit with the average cost to those who share the cost.

methodsSurvey respondents were asked to allocate a budget between cost-effective services that had a small effect upon a large number of relatively well patients and SRDs that benefited a small number of severely ill patients but were not cost effective because of their high cost.

resultsPart of the budget was always allocated to the SRDs. The budget share rose with the number sharing the cost. DISCUSSION: Sharing per se appears to characterise preferences. This has been obscured in studies that focus upon cost per patient rather than cost per person sharing the cost.

Indexed as

Budget ShareFixed BudgetHealth State UtilityHorizontal InequityTotal Budget

Identifiers

PMID29442298
PMCPMC5689032

What OpenQuestion holds

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LicenceCC BY-NC
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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.