Evidence map›Paper›PMID 30651941›Full record

ArticleJournal of market access & health policy2019

Health technology assessment (HTA) and economic evaluation: efficiency or fairness first.

Jeff Richardson, Michael Schlander

Abstract read
In one paragraph

Article in Journal of market access & health policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Literature Review on Health Emigration in Rare Diseases-A Machine Learning Perspective.International journal of environmental research and public health · 2023
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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

2 authors.

Jeff RichardsonCentre for Health Economics, Monash University, Melbourne, Australia.ORCID 0000-0002-4248-4280
Michael SchlanderDivision of Health Economics, German Cancer Research Center (DKFZ) & University of Heidelberg, Heidelberg, Germany.ORCID 0000-0002-3489-5856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The economic evaluation which supports Health Technology Assessment (HTA) should inform policy makers of the value to society conferred by a given allocation of resources. However, neither the theory nor practise of economic evaluation satisfactorily reflect social values. Both are primarily concerned with efficiency, commonly conceptualised as the maximisation of utility or quality adjusted life years (QALYs). The focus is upon the service and the benefits obtained from it. This has resulted in an evaluation methodology which discriminates against groups and treatments which the population would like to prioritise. This includes high cost treatments for patients with rare diseases. In contrast with prevailing methods, there is increasing evidence that the public would prefer a fairness-focused framework in which the service was removed from centre stage and replaced by the patient. However methods for achieving fairness are ad hoc and under-developed. The article initially reviews the theory of economic evaluation and argues that its focus upon individual utility and efficiency as defined by the theory omits potentially important social values. Some empirical evidence relating to population values is presented and four studies by the first author are reviewed. These indicate that when people adopt the social perspective of a citizen they have a preference for sharing the health budget in a way which does not exclude patients who require services that are not cost effective, such as orphan medicinal products (OMP's) and treatments for patients with ultra-rare diseases (URD's).

Indexed as

communitarianismcost/QALYEconomic evaluationsharingsocial preferencesultra-rare diseases

Identifiers

PMID30651941
PMCPMC6327925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.