Cargando…

Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi

BACKGROUND: The district resource allocation formula in Malawi was recently reviewed to include stunting as a proxy measure of socioeconomic status. In many countries where the concept of need has been incorporated in resource allocation, composite indicators of socioeconomic status have been used....

Descripción completa

Detalles Bibliográficos
Autores principales: Manthalu, Gerald, Nkhoma, Dominic, Kuyeli, Sanderson
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823741/
https://www.ncbi.nlm.nih.gov/pubmed/20053274
http://dx.doi.org/10.1186/1472-6963-10-6
_version_ 1782177676646154240
author Manthalu, Gerald
Nkhoma, Dominic
Kuyeli, Sanderson
author_facet Manthalu, Gerald
Nkhoma, Dominic
Kuyeli, Sanderson
author_sort Manthalu, Gerald
collection PubMed
description BACKGROUND: The district resource allocation formula in Malawi was recently reviewed to include stunting as a proxy measure of socioeconomic status. In many countries where the concept of need has been incorporated in resource allocation, composite indicators of socioeconomic status have been used. In the Malawi case, it is important to ascertain whether there are differences between using single variable or composite indicators of socioeconomic status in allocations made to districts, holding all other factors in the resource allocation formula constant. METHODS: Principal components analysis was used to calculate asset indices for all districts from variables that capture living standards using data from the Malawi Multiple Indicator Cluster Survey 2006. These were normalized and used to weight district populations. District proportions of national population weighted by both the simple and composite indicators were then calculated for all districts and compared. District allocations were also calculated using the two approaches and compared. RESULTS: The two types of indicators are highly correlated, with a spearman rank correlation coefficient of 0.97 at the 1% level of significance. For 21 out of the 26 districts included in the study, proportions of national population weighted by the simple indicator are higher by an average of 0.6 percentage points. For the remaining 5 districts, district proportions of national population weighted by the composite indicator are higher by an average of 2 percentage points. Though the average percentage point differences are low and the actual allocations using both approaches highly correlated (ρ of 0.96), differences in actual allocations exceed 10% for 8 districts and have an average of 4.2% for the remaining 17. For 21 districts allocations based on the single variable indicator are higher. CONCLUSIONS: Variations in district allocations made using either the simple or composite indicators of socioeconomic status are not statistically different to recommend one over the other. However, the single variable indicator is favourable for its ease of computation.
format Text
id pubmed-2823741
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28237412010-02-18 Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi Manthalu, Gerald Nkhoma, Dominic Kuyeli, Sanderson BMC Health Serv Res Research article BACKGROUND: The district resource allocation formula in Malawi was recently reviewed to include stunting as a proxy measure of socioeconomic status. In many countries where the concept of need has been incorporated in resource allocation, composite indicators of socioeconomic status have been used. In the Malawi case, it is important to ascertain whether there are differences between using single variable or composite indicators of socioeconomic status in allocations made to districts, holding all other factors in the resource allocation formula constant. METHODS: Principal components analysis was used to calculate asset indices for all districts from variables that capture living standards using data from the Malawi Multiple Indicator Cluster Survey 2006. These were normalized and used to weight district populations. District proportions of national population weighted by both the simple and composite indicators were then calculated for all districts and compared. District allocations were also calculated using the two approaches and compared. RESULTS: The two types of indicators are highly correlated, with a spearman rank correlation coefficient of 0.97 at the 1% level of significance. For 21 out of the 26 districts included in the study, proportions of national population weighted by the simple indicator are higher by an average of 0.6 percentage points. For the remaining 5 districts, district proportions of national population weighted by the composite indicator are higher by an average of 2 percentage points. Though the average percentage point differences are low and the actual allocations using both approaches highly correlated (ρ of 0.96), differences in actual allocations exceed 10% for 8 districts and have an average of 4.2% for the remaining 17. For 21 districts allocations based on the single variable indicator are higher. CONCLUSIONS: Variations in district allocations made using either the simple or composite indicators of socioeconomic status are not statistically different to recommend one over the other. However, the single variable indicator is favourable for its ease of computation. BioMed Central 2010-01-06 /pmc/articles/PMC2823741/ /pubmed/20053274 http://dx.doi.org/10.1186/1472-6963-10-6 Text en Copyright ©2010 Manthalu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Manthalu, Gerald
Nkhoma, Dominic
Kuyeli, Sanderson
Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title_full Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title_fullStr Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title_full_unstemmed Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title_short Simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in Malawi
title_sort simple versus composite indicators of socioeconomic status in resource allocation formulae: the case of the district resource allocation formula in malawi
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823741/
https://www.ncbi.nlm.nih.gov/pubmed/20053274
http://dx.doi.org/10.1186/1472-6963-10-6
work_keys_str_mv AT manthalugerald simpleversuscompositeindicatorsofsocioeconomicstatusinresourceallocationformulaethecaseofthedistrictresourceallocationformulainmalawi
AT nkhomadominic simpleversuscompositeindicatorsofsocioeconomicstatusinresourceallocationformulaethecaseofthedistrictresourceallocationformulainmalawi
AT kuyelisanderson simpleversuscompositeindicatorsofsocioeconomicstatusinresourceallocationformulaethecaseofthedistrictresourceallocationformulainmalawi