Evidence map›Paper›PMID 23359104›Full record

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

Priority setting and patient adaptation to disability and illness: outcomes of a qualitative study.

John McKie, Rosalind Hurworth, Bradley Shrimpton, Jeff Richardson, Catherine Bell

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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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John McKieCentre for Health Economics, Monash University, Building 75, Clayton, VIC, 3800, Australia, John.McKie@buseco.monash.edu.au.
Rosalind Hurworth
Bradley Shrimpton
Jeff Richardson
Catherine Bell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examined the question of who should make decisions for a National Health Scheme about the allocation of health resources when the health states of beneficiaries could change because of adaptation. Eight semi-structured small group discussions were conducted. Following focus group theory, interviews commenced with general questions followed by transition questions and ended with a 'focus' or 'key' question. Participants were presented with several scenarios in which patients adapted to their health states. They were then asked their views about the appropriate role of the public, patients and health professionals in making social judgements of quality of life. After discussion and debate, all groups were asked the key question: 'In light of adaptation, who should evaluate quality of life for the purpose of setting priorities in the allocation of health care?' In all groups participants presented strong arguments for and against decision making by patients, the public and health professionals. However, most groups thought a representative body which included a range of perspectives should make the relevant judgements. This is at odds with the recommendations in most national pharmaceutical guidelines. The main conclusion of the paper is that health economists and other researchers should explore the possibility of adopting a deliberative, consensus-based approach to evaluating health-related quality of life when such judgements are to be used to inform priority setting in a public system.

Indexed as

Adaptation, PsychologicalChronic DiseasePersons with DisabilitiesCommunity ParticipationDecision MakingDelivery of Health CareFocus GroupsHealth PrioritiesHealth Services ResearchHumansInterviews as TopicQualitative ResearchQuality of LifeResource Allocation

Identifiers

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.