FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2015049293> ?p ?o ?g. }

• W2015049293 endingPage "3" @default.
• W2015049293 startingPage "3" @default.
• W2015049293 abstract "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.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.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 R(2) = 0.528). All variables in the model are significant (p < 0.01).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." @default.
• W2015049293 created "2016-06-24" @default.
• W2015049293 creator A5029079378 @default.
• W2015049293 creator A5055857416 @default.
• W2015049293 date "2015-01-01" @default.
• W2015049293 modified "2023-10-17" @default.
• W2015049293 title "What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?" @default.
• W2015049293 cites W150287326 @default.
• W2015049293 cites W1574471049 @default.
• W2015049293 cites W1966032374 @default.
• W2015049293 cites W1968106223 @default.
• W2015049293 cites W1983141450 @default.
• W2015049293 cites W1984910175 @default.
• W2015049293 cites W2003146599 @default.
• W2015049293 cites W2005984718 @default.
• W2015049293 cites W2008741290 @default.
• W2015049293 cites W2022745160 @default.
• W2015049293 cites W2031614350 @default.
• W2015049293 cites W2041002647 @default.
• W2015049293 cites W2057207926 @default.
• W2015049293 cites W2063153180 @default.
• W2015049293 cites W2063820885 @default.
• W2015049293 cites W2080925693 @default.
• W2015049293 cites W2123790815 @default.
• W2015049293 cites W2134771965 @default.
• W2015049293 cites W2146516674 @default.
• W2015049293 cites W2413011151 @default.
• W2015049293 cites W2994553926 @default.
• W2015049293 cites W3121271037 @default.
• W2015049293 cites W3123178227 @default.
• W2015049293 cites W4252307431 @default.
• W2015049293 cites W1571629649 @default.
• W2015049293 doi "https://doi.org/10.1186/s40545-014-0023-1" @default.
• W2015049293 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4341814" @default.
• W2015049293 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25815198" @default.
• W2015049293 hasPublicationYear "2015" @default.
• W2015049293 type Work @default.
• W2015049293 sameAs 2015049293 @default.
• W2015049293 citedByCount "4" @default.
• W2015049293 countsByYear W20150492932016 @default.
• W2015049293 countsByYear W20150492932020 @default.
• W2015049293 countsByYear W20150492932023 @default.
• W2015049293 crossrefType "journal-article" @default.
• W2015049293 hasAuthorship W2015049293A5029079378 @default.
• W2015049293 hasAuthorship W2015049293A5055857416 @default.
• W2015049293 hasBestOaLocation W20150492931 @default.
• W2015049293 hasConcept C127598652 @default.
• W2015049293 hasConcept C142724271 @default.
• W2015049293 hasConcept C144133560 @default.
• W2015049293 hasConcept C160443848 @default.
• W2015049293 hasConcept C160735492 @default.
• W2015049293 hasConcept C162324750 @default.
• W2015049293 hasConcept C2778030619 @default.
• W2015049293 hasConcept C2908647359 @default.
• W2015049293 hasConcept C47344431 @default.
• W2015049293 hasConcept C50522688 @default.
• W2015049293 hasConcept C71924100 @default.
• W2015049293 hasConcept C99454951 @default.
• W2015049293 hasConceptScore W2015049293C127598652 @default.
• W2015049293 hasConceptScore W2015049293C142724271 @default.
• W2015049293 hasConceptScore W2015049293C144133560 @default.
• W2015049293 hasConceptScore W2015049293C160443848 @default.
• W2015049293 hasConceptScore W2015049293C160735492 @default.
• W2015049293 hasConceptScore W2015049293C162324750 @default.
• W2015049293 hasConceptScore W2015049293C2778030619 @default.
• W2015049293 hasConceptScore W2015049293C2908647359 @default.
• W2015049293 hasConceptScore W2015049293C47344431 @default.
• W2015049293 hasConceptScore W2015049293C50522688 @default.
• W2015049293 hasConceptScore W2015049293C71924100 @default.
• W2015049293 hasConceptScore W2015049293C99454951 @default.
• W2015049293 hasIssue "1" @default.
• W2015049293 hasLocation W20150492931 @default.
• W2015049293 hasLocation W20150492932 @default.
• W2015049293 hasLocation W20150492933 @default.
• W2015049293 hasLocation W20150492934 @default.
• W2015049293 hasLocation W20150492935 @default.
• W2015049293 hasOpenAccess W2015049293 @default.
• W2015049293 hasPrimaryLocation W20150492931 @default.
• W2015049293 hasRelatedWork W2004735020 @default.
• W2015049293 hasRelatedWork W2013296529 @default.
• W2015049293 hasRelatedWork W2061199523 @default.
• W2015049293 hasRelatedWork W2184841494 @default.
• W2015049293 hasRelatedWork W2365546493 @default.
• W2015049293 hasRelatedWork W2392709814 @default.
• W2015049293 hasRelatedWork W3023869285 @default.
• W2015049293 hasRelatedWork W3095255514 @default.
• W2015049293 hasRelatedWork W3132111589 @default.
• W2015049293 hasRelatedWork W3158232270 @default.
• W2015049293 hasVolume "8" @default.
• W2015049293 isParatext "false" @default.
• W2015049293 isRetracted "false" @default.
• W2015049293 magId "2015049293" @default.
• W2015049293 workType "article" @default.