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...
| Autores: | , |
|---|---|
| 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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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 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10230/23284 http://dx.doi.org/10.1186/s40545-014-0023-1 |
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http://hdl.handle.net/10230/23284 http://dx.doi.org/10.1186/s40545-014-0023-1 |
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Inglés |
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Inglés |
| dc.relation.none.fl_str_mv |
Journal of Pharmaceutical Policy and Practice. 2015;8:3 |
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http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf application/pdf |
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BioMed Central |
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BioMed Central |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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