Literature DB >> 19218332

Estimating inequalities in ownership of insecticide treated nets: does the choice of socio-economic status measure matter?

Jane Chuma1, Catherine Molyneux.   

Abstract

Research on the impact of socio-economic status (SES) on access to health care services and on health status is important for allocating resources and designing pro-poor policies. Socio-economic differences are increasingly assessed using asset indices as proxy measures for SES. For example, several studies use asset indices to estimate inequities in ownership and use of insecticide treated nets as a way of monitoring progress towards meeting the Abuja targets. The validity of different SES measures has only been tested in a limited number of settings, however, and there is little information on how choice of welfare measure influences study findings, conclusions and policy recommendations. In this paper, we demonstrate that household SES classification can depend on the SES measure selected. Using data from a household survey in coastal Kenya (n = 285 rural and 467 urban households), we first classify households into SES quintiles using both expenditure and asset data. Household SES classification is found to differ when separate rural and urban asset indices, or a combined asset index, are used. We then use data on bednet ownership to compare inequalities in ownership within each setting by the SES measure selected. Results show a weak correlation between asset index and monthly expenditure in both settings: wider inequalities in bednet ownership are observed in the rural sample when expenditure is used as the SES measure [Concentration Index (CI) = 0.1024 expenditure quintiles; 0.005 asset quintiles]; the opposite is observed in the urban sample (CI = 0.0518 expenditure quintiles; 0.126 asset quintiles). We conclude that the choice of SES measure does matter. Given the practical advantages of asset approaches, we recommend continued refinement of these approaches. In the meantime, careful selection of SES measure is required for every study, depending on the health policy issue of interest, the research context and, inevitably, pragmatic considerations.

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Year:  2009        PMID: 19218332     DOI: 10.1093/heapol/czn050

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  15 in total

1.  The economic costs of malaria in four Kenyan districts: do household costs differ by disease endemicity?

Authors:  Jane Chuma; Vincent Okungu; Catherine Molyneux
Journal:  Malar J       Date:  2010-06-02       Impact factor: 2.979

2.  Impact of promoting longer-lasting insecticide treatment of bed nets upon malaria transmission in a rural Tanzanian setting with pre-existing high coverage of untreated nets.

Authors:  Tanya L Russell; Dickson W Lwetoijera; Deodatus Maliti; Beatrice Chipwaza; Japhet Kihonda; J Derek Charlwood; Thomas A Smith; Christian Lengeler; Mathew A Mwanyangala; Rose Nathan; Bart Gj Knols; Willem Takken; Gerry F Killeen
Journal:  Malar J       Date:  2010-06-28       Impact factor: 2.979

3.  Risk factors associated with the epilepsy treatment gap in Kilifi, Kenya: a cross-sectional study.

Authors:  Caroline K Mbuba; Anthony K Ngugi; Greg Fegan; Fredrick Ibinda; Simon N Muchohi; Christopher Nyundo; Rachael Odhiambo; Tansy Edwards; Peter Odermatt; Julie A Carter; Charles R Newton
Journal:  Lancet Neurol       Date:  2012-07-06       Impact factor: 44.182

4.  Socioeconomic-related health inequality in South Africa: evidence from General Household Surveys.

Authors:  John E Ataguba; James Akazili; Di McIntyre
Journal:  Int J Equity Health       Date:  2011-11-10

5.  An adjusted bed net coverage indicator with estimations for 23 African countries.

Authors:  Dieter Vanderelst; Niko Speybroeck
Journal:  Malar J       Date:  2013-12-20       Impact factor: 2.979

6.  Plasmodium infection and its risk factors in eastern Uganda.

Authors:  Rachel L Pullan; Hasifa Bukirwa; Sarah G Staedke; Robert W Snow; Simon Brooker
Journal:  Malar J       Date:  2010-01-04       Impact factor: 2.979

7.  Inequalities in multimorbidity in South Africa.

Authors:  John Ele-Ojo Ataguba
Journal:  Int J Equity Health       Date:  2013-08-20

8.  Phenotypic and functional profiling of CD4 T cell compartment in distinct populations of healthy adults with different antigenic exposure.

Authors:  Sophie Roetynck; Ally Olotu; Joan Simam; Kevin Marsh; Brigitta Stockinger; Britta Urban; Jean Langhorne
Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

9.  How equitable is bed net ownership and utilisation in Tanzania? A practical application of the principles of horizontal and vertical equity.

Authors:  Fred Matovu; Catherine Goodman; Virginia Wiseman; William Mwengee
Journal:  Malar J       Date:  2009-05-21       Impact factor: 2.979

10.  Using extended concentration and achievement indices to study socioeconomic inequality in chronic childhood malnutrition: the case of Nigeria.

Authors:  Olalekan A Uthman
Journal:  Int J Equity Health       Date:  2009-06-05
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