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Identification determinant factors on willingness to pay for health services in Iran

Overview of attention for article published in Health Economics Review, November 2017
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Title
Identification determinant factors on willingness to pay for health services in Iran
Published in
Health Economics Review, November 2017
DOI 10.1186/s13561-017-0179-x
Pubmed ID
Authors

Javad Javan-Noughabi, Zahra Kavosi, Ahmad Faramarzi, Mohammad Khammarnia

Abstract

A common method used to examine the relationship between internal preferences and caring externalities is willingness to pay (WTP) approach. We aimed to estimate WTP for health status with different severity level and identify determinant factors on WTP. For determining main factors in WTP, a cross-sectional study was conducted in Shiraz in the southeast of Iran, in March to April 2015. The open-ended method was used to estimate monthly WTP in private and altruistic section. Multivariate regression analyses using ordinary least squares were applied to examine the effect of Scio-demographic factors on WTP using SPSS software 21. Participants were willing to pay an average amount of $ 295 in health status 1 and an average amount of $ 596 in health status 6 (worst status) for internal preferences. Altruistic WTP for health status 1 was $ 294 and participants were willing to pay an average amount of $ 416 in health status 6. Multiple regression analysis identified monthly income as the key determinant of WTP for internal preferences and caring externalities (P < 0.01). With an increase of 1% in income, private WTP increase 1.38% in health status 1. The finding indicates that the mean of WTP increases at severe health status; therefore, health policy maker should allocate resources toward severe health status.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Student > Ph. D. Student 11 15%
Student > Bachelor 3 4%
Researcher 3 4%
Student > Doctoral Student 2 3%
Other 8 11%
Unknown 36 48%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Economics, Econometrics and Finance 7 9%
Nursing and Health Professions 7 9%
Business, Management and Accounting 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 9%
Unknown 37 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2017.
All research outputs
#17,920,654
of 23,008,860 outputs
Outputs from Health Economics Review
#301
of 435 outputs
Outputs of similar age
#305,426
of 437,733 outputs
Outputs of similar age from Health Economics Review
#11
of 13 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.