| Literature DB >> 35969626 |
Ai Chee Yong1, Chimgee Chuluunkhuu2, Ving Fai Chan1,3, Tai Stephan4, Nathan Congdon1,4,5, Ciaran O'Neill1.
Abstract
BACKGROUND AND AIM: Globally, 12.8 million children have vision impairment due to uncorrected refractive error (URE). In Mongolia, one in five children needs but do not have access to spectacles. This pilot cost-benefit analysis aims to estimate the net benefits of a children's spectacles reimbursement scheme in Mongolia.Entities:
Mesh:
Year: 2022 PMID: 35969626 PMCID: PMC9377584 DOI: 10.1371/journal.pone.0273032
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Schematic representation of triple-bounded-dichotomous-choice experiment.
*Respondents were asked how much would they be willing to pay in additional taxes per year for any child who needs spectacles to have access to it.
Fig 2Survey questions route, using starting bid of US$17.50 as an example.
Demographic characteristics of survey respondents.
| Rural | Urban | Total | P-value comparing rural and urban respondents | |
|---|---|---|---|---|
| Sex | ||||
| Age (years) | ||||
| Educational level | ||||
| Total | 25 (100%) | 25 (100%) | 50 (100%) |
* Yates Continuity Correction test was selected as a 2x2 table was assessed.
** Fisher’s Exact Test was selected as expected cell values <5.
*** t-test.
Net benefits calculation.
| Ready-made spectacles | Custom spectacles | Mixed | |
|---|---|---|---|
| Cost (US$) | 5.00 | 25.00 | 15.00 |
| Benefits | 24.00 | 24.00 | 24.00 |
| Net Benefits (US$) | +19.00 | -1.00 | +9.00 |
| Benefits-to-Cost ratio | 4.8: 1.0 | 0.96: 1.0 | 1.6: 1.0 |
* As estimated by mean willingness-to-pay.
Potential predictors of mean willingness-to-pay (WTP).
| Mean willingness-to-pay (WTP) | P-value comparing groups | |
|---|---|---|
| Setting | ||
| Sex | ||
| Age (years) | ||
| Educational level | ||
| Children with |
* t-test.
** ANOVA.
*** Only one participant.