Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52900
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dc.contributor.authorSalas, Melvin Morera
dc.contributor.authorLlanos, Amada Aparicio
dc.contributor.authorSalazar, Yanira Xirinachs
dc.contributor.authorPerez, Patricia Barber
dc.contributor.otherBarber, Patricia
dc.date.accessioned2019-02-04T14:15:31Z-
dc.date.available2019-02-04T14:15:31Z-
dc.date.issued2007
dc.identifier.issn0213-9111
dc.identifier.urihttp://hdl.handle.net/10553/52900-
dc.description.abstractObjective: To determine changing patterns and variability in consumption of classic nonsteroidal anti-inflammatory drugs (NSAIDs) among the health areas in Costa Rica between 2000 and 2005.Methods: The drugs studied were ibuprofen, indomethacin, penicillamine, sulindac, tenoxicam, and diclofenac sodium. To measure consumption, we used the defined daily dose per 1,000 inhabitants per day (DID). To analyze variability, the coefficient of variation weighed by the population size (CVw), extremal ratio, interquartile ratio, dot plot and map graphs were used.Results: From 2000-2005, NSAID consumption increased by 48% and the annual cost rose by 184%. The drugs with greatest consumption and participation in cost were sulindac and indomethacin. NSAID consumption varied between 0.1 and 61.8 DID according to health areas, with a CVw of 66.8%. Variability was greatest with penicillamine (CVw = 449.89%) and tenoxicam (CVw = 315.26%).Conclusions: Clearly differentiated geographical patterns in NSAID consumption were found in Costa Rica, with very different rates within the same region. According to the results obtained, two factors associated with this variability were the supply of health services and the percentage of the population aged 65 years or more within the catchment area.
dc.publisher0213-9111
dc.relation.ispartofGaceta Sanitaria
dc.sourceGaceta Sanitaria[ISSN 0213-9111],v. 21 (6), p. 458-464
dc.subject.otherRegional-Variations
dc.titleConsumption of nonsteroidal anti-inflammatory agents in primary care in Costa Rica: changing patterns and geographical variability
dc.typeinfo:eu-repo/semantics/Article
dc.typeArticle
dc.identifier.isi000253953900004
dcterms.isPartOfGaceta Sanitaria
dcterms.sourceGaceta Sanitaria[ISSN 0213-9111],v. 21 (6), p. 458-464
dc.description.lastpage464
dc.identifier.issue6
dc.description.firstpage458
dc.relation.volume21
dc.type2Artículo
dc.identifier.wosWOS:000253953900004
dc.contributor.daisngid4594677
dc.contributor.daisngid5940386
dc.contributor.daisngid30961772
dc.contributor.daisngid7194977
dc.contributor.daisngid20689507
dc.contributor.daisngid28349947
dc.contributor.daisngid4005621
dc.identifier.investigatorRIDB-4788-2017
dc.contributor.wosstandardWOS:Salas, MM
dc.contributor.wosstandardWOS:Llanos, AA
dc.contributor.wosstandardWOS:Salazar, YX
dc.contributor.wosstandardWOS:Perez, PB
dc.date.coverdateNoviembre-Diciembre 2007
dc.identifier.ulpgces
dc.description.scieSCIE
dc.description.ssciSSCI
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR Economía de la salud y políticas públicas-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-8904-8358-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameBarber Pérez, Patricia Lucía-
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