Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/89036
DC FieldValueLanguage
dc.contributor.authorPadeiro, Miguel-
dc.date.accessioned2020-03-23T09:56:52Z-
dc.date.available2020-03-23T09:56:52Z-
dc.date.issued2017-12-12-
dc.identifier.issn1387-3741pt
dc.identifier.issn1572-9400pt
dc.identifier.urihttps://hdl.handle.net/10316/89036-
dc.description.abstractThe aim of this paper is to compare several methods for measuring geographical accessibility to community pharmacies in the Lisbon Metropolitan Area (LMA). Twelve measures of pedestrian distance between spatial units and the closest community pharmacy were computed based on the combination of 4 parameters: type of distance, location, centroid definition, and level of spatial unit. For this, the Google Maps Application Programming Interface was used for calculating network pedestrian distances, using a list of 801 community pharmacies and population data from the Census 2011. Correlations between every method were performed, and the variations of the estimated number of inhabitants served at an 800-m distance were analyzed. Local errors were assessed comparing every combination to the most accurate one. The results show that the number of people served ranges from 70 to 89% of the total population, depending upon the method used. The use of pedestrian network distances decreases by more than 10 points the population coverage, compared to crow-fly distances. The finest parameters of population assignment are more inclusive than coarser ones. This research demonstrates the influence of several measurement methods on coverage estimations. Empirical evidence indicates that both measurement and policies should be called into question in order to improve actual coverage.pt
dc.language.isoengpt
dc.publisherSpringerpt
dc.relationIF/01291/2014pt
dc.rightsembargoedAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectCommunity pharmacypt
dc.subjectGeographical information systempt
dc.subjectPharmacy servicespt
dc.subjectAccessibilitypt
dc.subjectNetwork distancept
dc.subjectHealth geographypt
dc.titleComparing alternative methods to measuring pedestrian access to community pharmaciespt
dc.typearticleen
degois.publication.firstPage1pt
degois.publication.lastPage16pt
degois.publication.issue1pt
degois.publication.titleHealth Services and Outcomes Research Methodologypt
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs10742-017-0173-0pt
dc.peerreviewedyespt
dc.identifier.doi10.1007/s10742-017-0173-0pt
degois.publication.volume18pt
dc.date.embargo2019-12-12*
uc.date.periodoEmbargo730pt
item.openairetypearticle-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextCom Texto completo-
crisitem.author.researchunitCEGOT – Centre of Studies on Geography and Spatial Planning-
crisitem.author.orcid0000-0002-4996-4308-
Appears in Collections:I&D CEGOT - Artigos em Revistas Internacionais
Files in This Item:
Show simple item record

SCOPUSTM   
Citations

4
checked on Mar 18, 2024

WEB OF SCIENCETM
Citations 20

4
checked on Mar 2, 2024

Page view(s)

129
checked on Mar 26, 2024

Download(s)

191
checked on Mar 26, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons