Cargando…

Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?

Despite improved supply of health care services in low-income countries in the recent past, their uptake continues to be lower than anticipated. This has made it difficult to scale-up those interventions which are not only cost-effective from supply perspectives but that might have substantial impac...

Descripción completa

Detalles Bibliográficos
Autor principal: Pokhrel, Subhash
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1448195/
https://www.ncbi.nlm.nih.gov/pubmed/16573821
http://dx.doi.org/10.1186/1478-4505-4-4
_version_ 1782127364712431616
author Pokhrel, Subhash
author_facet Pokhrel, Subhash
author_sort Pokhrel, Subhash
collection PubMed
description Despite improved supply of health care services in low-income countries in the recent past, their uptake continues to be lower than anticipated. This has made it difficult to scale-up those interventions which are not only cost-effective from supply perspectives but that might have substantial impacts on improving the health status of these countries. Understanding demand-side barriers is therefore critically important. With the help of a case study from Nepal, this commentary argues that more research on demand-side barriers needs to be carried out and that the stated-preference (SP) approach to such research might be helpful. Since SP techniques place service users' preferences at the centre of the analysis, and because preferences reflect individual or social welfare, SP techniques are likely to be helpful in devising policies to increase social welfare (e.g. improved service coverage). Moreover, the SP data are collected in a controlled environment which allows straightforward identification of effects (e.g. that of process attributes of care) and large quantities of relevant data can be collected at moderate cost. In addition to providing insights into current preferences, SP data also provide insights into how preferences are likely to respond to a proposed change in resource allocation (e.g. changing service delivery strategy). Finally, the SP-based techniques have been used widely in resource-rich countries and their experience can be valuable in conducting scaling-up research in low-income countries.
format Text
id pubmed-1448195
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-14481952006-04-27 Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play? Pokhrel, Subhash Health Res Policy Syst Commentary Despite improved supply of health care services in low-income countries in the recent past, their uptake continues to be lower than anticipated. This has made it difficult to scale-up those interventions which are not only cost-effective from supply perspectives but that might have substantial impacts on improving the health status of these countries. Understanding demand-side barriers is therefore critically important. With the help of a case study from Nepal, this commentary argues that more research on demand-side barriers needs to be carried out and that the stated-preference (SP) approach to such research might be helpful. Since SP techniques place service users' preferences at the centre of the analysis, and because preferences reflect individual or social welfare, SP techniques are likely to be helpful in devising policies to increase social welfare (e.g. improved service coverage). Moreover, the SP data are collected in a controlled environment which allows straightforward identification of effects (e.g. that of process attributes of care) and large quantities of relevant data can be collected at moderate cost. In addition to providing insights into current preferences, SP data also provide insights into how preferences are likely to respond to a proposed change in resource allocation (e.g. changing service delivery strategy). Finally, the SP-based techniques have been used widely in resource-rich countries and their experience can be valuable in conducting scaling-up research in low-income countries. BioMed Central 2006-03-30 /pmc/articles/PMC1448195/ /pubmed/16573821 http://dx.doi.org/10.1186/1478-4505-4-4 Text en Copyright © 2006 Pokhrel; 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 Commentary
Pokhrel, Subhash
Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title_full Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title_fullStr Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title_full_unstemmed Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title_short Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
title_sort scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1448195/
https://www.ncbi.nlm.nih.gov/pubmed/16573821
http://dx.doi.org/10.1186/1478-4505-4-4
work_keys_str_mv AT pokhrelsubhash scalinguphealthinterventionsinresourcepoorcountrieswhatroledoesresearchinstatedpreferenceframeworkplay