Evidence map›Paper›PMID 29464669›Full record

ArticlePharmacoEconomics - open2018

Weighting Health Outcomes by Socioeconomic Position Using Stated Preferences.

Anita Lal, Mohammad Siahpush, Marjory Moodie, Anna Peeters, Robert Carter

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2018. 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
–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

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.

Anita LalSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia. a.lal@deakin.edu.au.ORCID http://orcid.org/0000-0001-6921-6617
Mohammad SiahpushDepartment of Health Promotion, Social & Behavioral Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Marjory MoodieSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia.
Anna PeetersSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia.
Robert CarterSchool of Health and Social Development, Faculty of Health, Deakin University, Geelong, VIC, Australia.

Funding

National Health and Medical Research Council APP1041020
6 · The paper itself

Abstract

backgroundThe trade-off that society is willing to make to promote a more equitable distribution of health can be represented as a social welfare function (SWF). SWFs are an economic construct that can be used to illustrate concerns for total health with aversion to inequalities between socioeconomic groups.

objectiveThis study used people's preferences to estimate the shapes of health-related SWFs (HRSWFs). We tested the suitability of this method to derive equity weights.

methodsA questionnaire was used to elicit preferences concerning trade-offs between the total level of health and its distribution among two socioeconomic groups. The participant group was a sample of convenience that included a mix of health researchers, academics, clinicians, managers, public servants and research students. The data collected were used to develop HRSWFs with a constant elasticity of substitution. The weight was calculated using the marginal rate of substitution.

resultsA marginal health gain to the lowest socioeconomic position (SEP) group was valued 14.1-81.4 times more than a marginal health gain to the high SEP group.

conclusionsOur results provide evidence to support the idea that the public may be willing to make trade-offs between efficiency and equity, and that they value health gains differently depending on which socioeconomic group receives the health gain. Further evidence is required before such indicative weights have practical value.

Identifiers

PMID29464669
PMCPMC5820237

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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.