Evidence map›Paper›PMID 23512613›Full record

ArticleHealth care analysis : HCA : journal of health philosophy and policy2014

Priority setting in health care: a complementary approach.

Rui Nunes, Guilhermina Rego

Abstract read
In one paragraph

Article in Health care analysis : HCA : journal of health philosophy and policy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Observational
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

2 authors.

Rui NunesDepartment of Bioethics, Faculty of Medicine, University of Porto, Estrada da Circunvalação 9925, 4250-150, Porto, Portugal, ruinunes@med.up.pt.
Guilhermina Rego

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Explicit forms of rationing have already been implemented in some countries, and many of these prioritization systems resort to Norman Daniels' "accountability for reasonableness" methodology. However, a question still remains: is "accountability for reasonableness" not only legitimate but also fair? The objective of this paper is to try to adjust "accountability for reasonableness" to the World Health Organization's holistic view of health and propose an evolutionary perspective in relation to the "normal" functioning standard proposed by Norman Daniels. To accomplish this purpose the authors depart from the "normal" functioning standard to a model that promotes effective opportunity for everyone in health care access, because even within the "normal" functioning criteria some treatments and medical interventions should have priority upon others. Equal opportunity function is a mathematical function that helps to hierarchize moral relevant necessities in health care according to this point of view. It is concluded, first, that accountability for reasonableness is an extremely valuable tool to address the issue of setting limits in health care; second, that what is called in this paper "equal opportunity function" might reflect how accountability for reasonableness results in fair limit-setting decisions; and third, that this methodology must be further specified to best achieve fair limit-setting decisions. Indeed, when resources are especially scarce the methodology suggested in this paper might allow not only prioritizing in an "all or nothing" basis but can contribute to a hierarchy system of priorities in health care.

Indexed as

Delivery of Health CareHealth PrioritiesSocial ResponsibilityDecision MakingHealth Care RationingHealth PolicyHumansSocial Justice

Identifiers

PMID23512613
PMCPMC4124259

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.