What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?

Objectives: A key policy question for the government of Uganda is how to equitably allocate primary health care pharmaceutical budgets to districts. This paper seeks to identify variables influencing current primary health care pharmaceutical expenditure and their usefulness in allocating prospectiv...

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Autores: Mujasi, Paschal N., Puig i Junoy, Jaume
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/23284
Acceso en línea:http://hdl.handle.net/10230/23284
http://dx.doi.org/10.1186/s40545-014-0023-1
Access Level:acceso abierto
Palabra clave:Salut pública -- Administració
Política farmacèutica
Uganda -- Condicions socials
Budget allocation
Econometric analysis
Needs-based formula
Pharmaceutical expenditure
Primary Health care
Uganda
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spelling What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?Mujasi, Paschal N.Puig i Junoy, JaumeSalut pública -- AdministracióPolítica farmacèuticaUganda -- Condicions socialsBudget allocationEconometric analysisNeeds-based formulaPharmaceutical expenditurePrimary Health careUgandaObjectives: A key policy question for the government of Uganda is how to equitably allocate primary health care pharmaceutical budgets to districts. This paper seeks to identify variables influencing current primary health care pharmaceutical expenditure and their usefulness in allocating prospective pharmaceutical budgets to districts. Methods: This was a cross sectional, retrospective observational study using secondary administrative data. We collected data on the value of pharmaceuticals procured by primary health care facilities in each district from National Medical Stores for the financial year 2011/2012. The dependent variable was expressed as per capita district pharmaceutical expenditure. By reviewing literature we identified 26 potential explanatory variables. They include supply, need and demand, and health system organization variables that may influence the demand and supply of health services and the corresponding pharmaceutical expenditure. We collected secondary data for these variables for all the districts in Uganda (n = 112). We performed econometric analysis to estimate parameters of various regression models. Results: There is a significant correlation between per capita district pharmaceutical expenditure and total district population, rural poverty, access to drinking water and outpatient department (OPD) per capita utilisation.(P<0.01). The percentage of health centre IIIs (HC III) among each district’s health facilities is significantly correlated with per capita pharmaceutical expenditure (P < 0.05). OPD per capita utilisation has a relatively strong correlation with per capita pharmaceutical expenditure (r = 0.498); all the other significant factors are weakly correlated with per capita pharmaceutical expenditure (r<0.5). From several iterations of an initially developed model, the proposed final model for explaining per capita pharmaceutical expenditure explains about 53% of the variation in pharmaceutical expenditure among districts in Uganda (Adjusted R2 = 0.528). All variables in the model are significant (p<0.01). Conclusions: From evaluation of the various models, proposed variables to consider in allocating prospective primary health care pharmaceutical budgets to districts in Uganda are: district outpatient department attendance per capita, total district population, total number of government health facilities in the district and the district human poverty index.BioMed Central201520152015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/23284http://dx.doi.org/10.1186/s40545-014-0023-1reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésJournal of Pharmaceutical Policy and Practice. 2015;8:3© 2015 Mujasi and Puig-Junoy; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.http://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:recercat.cat:10230/232842026-05-29T05:05:01Z
dc.title.none.fl_str_mv What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
title What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
spellingShingle What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
Mujasi, Paschal N.
Salut pública -- Administració
Política farmacèutica
Uganda -- Condicions socials
Budget allocation
Econometric analysis
Needs-based formula
Pharmaceutical expenditure
Primary Health care
Uganda
title_short What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
title_full What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
title_fullStr What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
title_full_unstemmed What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
title_sort What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?
dc.creator.none.fl_str_mv Mujasi, Paschal N.
Puig i Junoy, Jaume
author Mujasi, Paschal N.
author_facet Mujasi, Paschal N.
Puig i Junoy, Jaume
author_role author
author2 Puig i Junoy, Jaume
author2_role author
dc.subject.none.fl_str_mv Salut pública -- Administració
Política farmacèutica
Uganda -- Condicions socials
Budget allocation
Econometric analysis
Needs-based formula
Pharmaceutical expenditure
Primary Health care
Uganda
topic Salut pública -- Administració
Política farmacèutica
Uganda -- Condicions socials
Budget allocation
Econometric analysis
Needs-based formula
Pharmaceutical expenditure
Primary Health care
Uganda
description Objectives: A key policy question for the government of Uganda is how to equitably allocate primary health care pharmaceutical budgets to districts. This paper seeks to identify variables influencing current primary health care pharmaceutical expenditure and their usefulness in allocating prospective pharmaceutical budgets to districts. Methods: This was a cross sectional, retrospective observational study using secondary administrative data. We collected data on the value of pharmaceuticals procured by primary health care facilities in each district from National Medical Stores for the financial year 2011/2012. The dependent variable was expressed as per capita district pharmaceutical expenditure. By reviewing literature we identified 26 potential explanatory variables. They include supply, need and demand, and health system organization variables that may influence the demand and supply of health services and the corresponding pharmaceutical expenditure. We collected secondary data for these variables for all the districts in Uganda (n = 112). We performed econometric analysis to estimate parameters of various regression models. Results: There is a significant correlation between per capita district pharmaceutical expenditure and total district population, rural poverty, access to drinking water and outpatient department (OPD) per capita utilisation.(P<0.01). The percentage of health centre IIIs (HC III) among each district’s health facilities is significantly correlated with per capita pharmaceutical expenditure (P < 0.05). OPD per capita utilisation has a relatively strong correlation with per capita pharmaceutical expenditure (r = 0.498); all the other significant factors are weakly correlated with per capita pharmaceutical expenditure (r<0.5). From several iterations of an initially developed model, the proposed final model for explaining per capita pharmaceutical expenditure explains about 53% of the variation in pharmaceutical expenditure among districts in Uganda (Adjusted R2 = 0.528). All variables in the model are significant (p<0.01). Conclusions: From evaluation of the various models, proposed variables to consider in allocating prospective primary health care pharmaceutical budgets to districts in Uganda are: district outpatient department attendance per capita, total district population, total number of government health facilities in the district and the district human poverty index.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/23284
http://dx.doi.org/10.1186/s40545-014-0023-1
url http://hdl.handle.net/10230/23284
http://dx.doi.org/10.1186/s40545-014-0023-1
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Pharmaceutical Policy and Practice. 2015;8:3
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info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
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