ArticleRevista panamericana de salud publica = Pan American journal of public health2019
[Proposal for a methodology to estimate the potential coverage of primary care teamsPropuesta de una metodología para estimar el área de cobertura potencial de los equipos de atención primaria].
Article in Revista panamericana de salud publica = Pan American journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- [Factors associated with hospitalizations for primary care-sensitive conditions in Brazil: an ecological studyFactores asociados a las hospitalizaciones infantiles por afecciones que podrían tratarse en la atención primaria en Brasil: estudio ecológico].Revista panamericana de salud publica = Pan American journal of public health · 2022Article
- Data-driven risk stratification for preterm birth in Brazil: a population-based study to develop of a machine learning risk assessment approach.Lancet regional health. Americas · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo present a methodology for the empirical evaluation of primary health care (PHC) through the construction of digital representations of potential PHC coverage areas.
methodsIn this methodological study, potential areas were constructed by combinatorial analysis between census tracts and the location of basic health units with working PHC teams in Brazil. Six rules were used to parameterize the algorithm for the construction of potential areas. Thus, six restrictions were applied to enable the model: the selection of census tracts near the basic health unit; contiguous sectors; mutually exclusive sectors; sectors located in the same municipality of basic health units; sum of 4 500 users per health team in each unit; and volume of population ascribed proportional to the number of PHC teams allocated to the unit. Based on 316 594 census tracts and 39 758 basic health units, a neighborhood matrix was developed. To that matrix, a graph algorithm was applied to test combinations of sectors that simultaneously met the stipulated rules.
resultsA total of 1 901 114 arcs were defined, connecting 30 351 census tracts, allowing the construction of 26 907 potential areas. Based on these results, intra-municipal analyses can be performed to monitor PHC indicators. Customizable algorithm parameters can be adjusted to accommodate different sets of rules which may be adapted to different countries.
conclusionsThe use of geoprocessing approaches creates conditions for the assessment of PHC impact, based on secondary databases at various levels, such as intra-municipal, basic health unit, and even at the team level.
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