Evidence map›Paper›PMID 32255923›Full record

ArticleEcological economics : the journal of the International Society for Ecological Economics2020

Non-monetary numeraires: Varying the payment vehicle in a choice experiment for health interventions in Uganda.

Keila Meginnis, Nick Hanley, Lazaaro Mujumbusi, Poppy H L Lamberton

Open access · hybridAbstract read
In one paragraph

Article in Ecological economics : the journal of the International Society for Ecological Economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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

2 citing papers in PubMed, 30 citations in OpenAlex.

  1. Observational
  2. 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 at 2 institutions in 2 countries.

Keila MeginnisUniversity of Glasgow, United Kingdom of Great Britain and Northern Ireland.
Nick HanleyUniversity of Glasgow, United Kingdom of Great Britain and Northern Ireland.
Lazaaro MujumbusiMedical Research Council/Uganda Virus Research Institute & London School of Hygiene and Tropical Medicine, Uganda Research Unit, Uganda.
Poppy H L LambertonUniversity of Glasgow, United Kingdom of Great Britain and Northern Ireland.
University of Glasgow · GBUganda Virus Research Institute · UG

Funding

Medical Research Council MR/P025447/1
6 · The paper itself

Abstract

Schistosomiasis is a serious health problem in many parts of Africa which is linked to poor water quality and limited sanitation resources. We administered a discrete choice experiment on water access and health education in rural Uganda, focussing on interventions designed to reduce cases of the disease. Unlike previous studies, we included a payment vehicle of both labour hours supplied per week and money paid per month within each choice set. We were thus able to elicit both willingness to pay and willingness to work for alternative interventions. Respondents exhibit high demand for new water sources. From the random parameter model, only households with knowledge about water-borne parasites are price sensitive and exhibit willingness to pay values. Through a latent class model specification, higher income respondents exhibit higher willingness to pay values for all programme attributes; however, lower income participants have higher willingness to work values for certain new water sources. We found a shadow wage rate of labour that is between 15 and 55% of the market wage rate.

Indexed as

Discrete choice experimentNon-monetary numerairesOne health approachSchistosoma mansoniSchistosomiasisShadow wage rateWASH

Identifiers

PMID32255923
PMCPMC7015276
OpenAlexW2998500234

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.