On the measurement of inequalities in health

Wagstaff, Adam; Paci, Pierella; Doorslaer, Eddy van

doi:10.1016/0277-9536(91)90212-u

Cited by 1,380 publications

(1,294 citation statements)

References 12 publications

Supporting

Mentioning

1,227

Contrasting

Unclassified

Order By: Relevance

“…As mentioned before, the value of the concentration index is bounded to −1 and 1 (Wagstaff et al, 1991). However, when the variable of interest is binary, the mean of the binary variable further bounds the value of the concentration index (Wagstaff, 2005).…”

Section: Concentration Indicesmentioning

confidence: 96%

“…The concentration index is an indicator of health inequality in relation to the socioeconomic position of an individual (Erreygers, 2009a, b). It was introduced by Kakwani (1980) and Wagstaff et al (1991). The value of the concentration index is twice the area between concentration curve and the diagonal (Wagstaff et al, 1991); the concentration curve is obtained by plotting the cumulative proportions of the population, ranked by socioeconomic status beginning with the most advantaged (well-off), against the cumulative proportions of the health variable (Wagstaff et al, 1991).…”

Section: Concentration Indicesmentioning

confidence: 99%

“…It was introduced by Kakwani (1980) and Wagstaff et al (1991). The value of the concentration index is twice the area between concentration curve and the diagonal (Wagstaff et al, 1991); the concentration curve is obtained by plotting the cumulative proportions of the population, ranked by socioeconomic status beginning with the most advantaged (well-off), against the cumulative proportions of the health variable (Wagstaff et al, 1991). The concentration index takes values of between 1Àn n and nÀ1 n (where n is the number of observations) and 1Àn n and nÀ1 n approach −1 and 1, respectively, when the number of observations increases.…”

Section: Concentration Indicesmentioning

confidence: 99%

See 2 more Smart Citations

Socioeconomic Variations in Induced Abortion in Turkey

Ankara

2016

J. Biosoc. Sci.

View full text Add to dashboard Cite

Summary. This study aimed to identify the levels of, and socioeconomic variations in, income-related inequality in induced abortion among Turkish women. The study included 15,480 ever-married women of reproductive age Higher socioeconomic characteristics (such as higher levels of wealth and education and better neighbourhood) were found to be associated with higher rates of abortion. Inequality analyses indicated that although deprived women become more familiar with abortion over time, abortion was still more concentrated among affluent women in the 2008 survey. The decomposition analyses suggested that wealth, age, education and level of regional development were the most important contributors to income-related inequality in abortion. Therefore policies that (i) increase the level of wealth and education of deprived women, (ii) develop deprived regions of Turkey, (iii) improve knowledge about family planning and, especially (iv) enhance the accessibility of family planning services for deprived and/or rural women, may be beneficial for reducing socioeconomic variations in abortion in the country.

show abstract

Section: Concentration Indicesmentioning

confidence: 96%

Section: Concentration Indicesmentioning

confidence: 99%

Section: Concentration Indicesmentioning

confidence: 99%

See 1 more Smart Citation

Socioeconomic Variations in Induced Abortion in Turkey

Ankara

2016

J. Biosoc. Sci.

View full text Add to dashboard Cite

show abstract

“…First, we quantified inequality using a methodology based on the concentration index (Wagstaff, Paci, & van Doorslaer, 1991), plotting the cumulative proportion of total screening uptake in our study population ranked by a measure of SES. Second, we explored the univariate associations between a number of variables and screening uptake.…”

Section: Introductionmentioning

confidence: 99%

Decomposing socio-economic inequality in colorectal cancer screening uptake in England

Solmi

Wagner

Kobayashi

et al. 2015

Social Science & Medicine

View full text Add to dashboard Cite

Colorectal cancer (CRC) is the second largest cause of cancer death in the UK. Since 2010, CRC screening based on Faecal Occult Blood testing has been offered by the NHS in England biennially to all persons age 60 to 69 years. Several studies have demonstrated a gradient in uptake using area-level markers of socio-economic status (SES), but few have examined the individual-level contributors to the gradient. We aimed to quantify the extent of SES inequality in CRC screening uptake in England using individual-level data, and to identify individual factors associated with this inequality.We used data from 1,833 participants (aged 61-69) in Wave 5 (collected in years 2010/11) of the English Longitudinal Study of Ageing (ELSA) eligible for having been sent at least one CRC screening invitation. Uptake was defined by self-report of ever having been screened as part of the National Screening Programme. We assessed socio-economic inequality using the corrected concentration index of uptake against SES rank, which was derived by regressing a range of SES markers against net non-pension household wealth. Other demographic and health-related variables were included in the analysis. Factors associated with inequality were measured using concentration index decomposition.There was a significant pro-rich gradient in screening uptake (concentration index: 0.16, 95% CI:0.11-0.22), mostly explained within our model by differences in non-pension wealth (38.7%), partner screening status (15.9%), sickness/disability (13.5%), and health literacy (8.5%).Interventions aimed at reducing inequalities in CRC screening uptake should focus on improving acceptability of screening in populations with low levels of education and literacy barriers.

show abstract

“…An appropriate econometric methodology has thus been elaborated and used to estimate health status as a continuous variable (Wagstaff et al, 1991). A considerably different methodology for the analysis of SRHS data has recently been proposed by Allison and Foster: when health status is an ordered qualitative variable, these authors postulate that a distribution Q exhibits more inequality than a distribution P if Q is obtained from P via a sequence of median preserving spreads.…”

Section: Introductionmentioning

confidence: 99%