Evidence map›Paper›PMID 32814549›Full record

ArticleBMC public health2020

Income and wealth as determinants of voluntary private health insurance: empirical evidence in Spain, 2008-2014.

Jaime Pinilla, Beatriz G López-Valcárcel

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Research on the Effect of Commercial Health Insurance Development on Economic Efficiency.International journal of environmental research and public health · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Health Insurance Ownership among Moluccans in Indonesia.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

2 authors.

Jaime PinillaDepartment of Quantitative Methods for Economics and Management, University of Las Palmas de Gran Canaria, Campus de Tafira sn, 35017, Las Palmas de Gran Canaria, Spain. jaime.pinilla@ulpgc.es.ORCID http://orcid.org/0000-0002-7126-4236
Beatriz G López-ValcárcelDepartment of Quantitative Methods for Economics and Management, University of Las Palmas de Gran Canaria, Campus de Tafira sn, 35017, Las Palmas de Gran Canaria, Spain.ORCID https://orcid.org/0000-0002-5571-3257

Funding

Ministerio de Economía y Competitividad ECO2017-83771-C3-2
6 · The paper itself

Abstract

backgroundFew studies have quantitatively estimated the income elasticity of demand of voluntary private health insurance (VPHI) in countries with a universal National Health Service. Most studies to date have uses cross-sectional data.

methodsIn this paper we used a longitudinal database from the Bank of Spain to analyse the financial behaviour of approximately six thousand families per wave. We used three waves (2008, 2011 and 2014). We estimated income and wealth semi-elasticities of VPHI in Spain considering personal and family characteristics (age, sex, level of health, education, composition of the household), i.e. changes in the probability of buying VPHI as result of 1% change in income or wealth. We estimated cross-sectional models for each wave and longitudinal models for families remaining for at least two waves, taking account of possible selection bias due to attrition.

resultsCross-sectional models suggest that the income effect on the probability of buying a VPHI increased from 2008 to 2014. The positive impact was observed for, wealth. In 2008 a 1% increase in income is associated with an increase in the probability of having VPHI of 0.064 [95%-CI: 0.023; 0.104] - on the probability scale (0.1) - whereas in 2014, this effect is of 0.116 [95%-CI, 0.094; 0.139]. In 2011 and 2014 the wealth effect is not significant at 5%. The estimation of the longitudinal model leads to different results where both, income and wealth are associated with non- significant results.

conclusionOur three main conclusions are: 1) Cross-sectional estimates of semi-elasticities of VPHI might be biased upwards; 2) Wealth is alongside income are economic determinants, of the decision to buy VPHI in high-income countries; 3) The effects of income and wealth on the probability of buying VHPI are neither linear nor log-linear. There are no significant differences among 60% of the most disadvantaged families, while the families of the two upper wealth quintiles show clearly differentiated behaviour with a higher probability of insurance.

Indexed as

Cross-Sectional StudiesDatabases, FactualEmpirical ResearchFemaleHumansIncomeInsurance, HealthLongitudinal StudiesMaleMiddle AgedNational Health ProgramsPrivate SectorSpainUniversal Health InsuranceIncome and wealth semi-elasticitiesLongitudinal dataVoluntary private health insurance

Identifiers

PMID32814549
PMCPMC7437046

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.