Acessibilidade Geográfica a Serviços de Saúde
Adaptação de Ferramenta de Análise para Uso Online e Criação de Condições para sua Disseminação
DOI:
https://doi.org/10.53528/geoconexes.v4i1.164Keywords:
Acessibilidade Geográfica, Serviços de Saúde, Ferramenta de AnáliseAbstract
Access to health services involves several obstacles, which can make access to timely resolving care complex. The World Health Organization (WHO) provides a free software called ACCESSMOD, which allows the analysis of travel time to health services based on population distribution, location of establishments, routes and means of transportation, relief and land use. As advantages, considers distances based on roads and not Euclidean distances, in addition to the use of statistical grid, which makes it possible to analyze the spatial distribution of the population. This work illustrates the consolidation of ACCESSMOD as an online, accessible and disseminable tool for diverse users. To achieve this, analysis of the technologies of ACCESSMOD tool were carried out, also about solutions for online use, with features to be added, in addition to testing the online version. ACCESSMOD was adapted for online use, by logging in and requesting to access the service. Analyzes regarding geographic accessibility to health services were redone. The tool is relevant for academic research regarding barriers linked to geographic accessibility. It contributes to the redistribution of health services and actions linked to transport that reduce barriers.
References
CHÊNES, C., Giuliani, G. & Ray, N. (2021). Modelling physical accessibility to public green spaces in Switzerland to support the SDG11. Geomatics, 1: 383-398. https://doi.org/10.3390/geomatics1040022
EBENER, S., Stenberg, K., Brun, M. et al. (2019). Proposing standardized geographical indicators of physical access to emergency obstetric and newborn care in low-income and middle-income countries. BMJ Global Health 2019,4:e000778.
Fundação Oswaldo Cruz - FIOCRUZ. Plataforma de Ciência de Dados aplicada à Saúde. FIOCRUZ. https://pcdas.icict.fiocruz.br/
Fundação Oswaldo Cruz- FIOCRUZ. (2020). Nota Técnica 7: Regiões e Redes Covid-19: Acesso aos serviços de saúde e fluxo de deslocamento de pacientes em busca de internação. MonitoraCovid-19 – FIOCRUZ. 22p. https://bigdata-covid19.icict.fiocruz.br/nota_tecnica_7.pdf
HIERINK, F., Rodrigues, N., Muñiz, M., Panciera, R. & Ray N. (2020). Modelling geographical accessibility to support disaster response and rehabilitation of a health care system: An impact analysis of Cyclones Idai and Kenneth in Mozambique. BMJ Open, 10: e039138. doi: 10.1136/bmjopen-2020-039138
IBGE - Instituto Brasileiro de Geografia e Estatística (2020). Regiões de influência das cidades setor Saúde 2018. Rio de Janeiro: IBGE, 2020. https://www.ibge.gov.br/geociencias/organizacao-do-territorio/redes-e-fluxos-geograficos/15798-regioes-de-influencia-das-cidades.html
JACOBS, B., Ir, P., Bigdeli, M., Annear, P. L., Damme, W. V. (2011) Addressing access barriers to health services: an analytical framework for selecting appropriate interventions in low-income Asian countries. Health Policy and Planning. 27(4): 1–13. pmid:21565939. DOI: 10.1093/heapol/czr038
JOSEPH, N. K., Macharia, P. M., Ouma, P. O., Mumo, J., Jalang’o, R., Wagacha, P. W., Achieng, V. O, Ndung'u, E., Okoth, P., Muñiz, M., Guigoz, Y., Panciera, R., Ray, N. & Okiro, E. A. 2020. Spatial access inequities and childhood immunisation uptake in Kenya. BMC Public Health, 20: 1407. https://doi.org/10.1186/s12889-020-09486-8
MACHARIA, P. M., Moturi, A., Mumo, E., Giorgi, E., Okiro, E. A., Snow, R. W. & Ray, N. (2022). Modelling geographic access and school catchment areas across public primary schools to support subnational planning in Kenya. Children's Geographies, 1-17. https://doi.org/10.1080/14733285.2022.2153329
NO CHEN, Y., Schmitz, M. M., Serbanescu, F., Dynes, M. M., Maro, G., & Kramer, M. R. (2017). Geographic Access Modeling of Emergency Obstetric and Neonatal Care in Kigoma Region, Tanzania: Transportation Schemes and Programmatic Implications. Glob Health Sci Pract 5(3): 430-445. DOI: 10.9745/GHSP-D-17-00110
OLIPHANT, N. P., Sy, Z., Koné, B., Berthé, M., Beebe, M., Samake, M., Diabaté, M., Tounkara, S., Diarra, B., Diarra, A. B., Diawara, C. H., Yakimova, T., Florisse. S., Jackson. D., Ray, N. & Doherty. T. (2022). Improving the efficiency of scale-up and deployment of community health workers in Mali: a geospatial analysis. PLoS Global Public Health, 2(10): e0000626. https://doi.org/10.1371/journal.pgph.0000626
OLIVEIRA, E. X. G., Carvalho, M. S., Travassos, C. (2004). Territórios do Sistema Único de Saúde: mapeamento das redes de atenção hospitalar. Cad Saúde Pública, 20(2): 386–402. pmid:15073618. https://doi.org/10.1590/S0102-311X2004000200006
OLIVEIRA, R. A. D., Duarte, C. M. R., Pavão, A. L. B., Viacava, F. (2019). Barreiras de acesso aos serviços em cinco Regiões de Saúde do Brasil: percepção de gestores e profissionais do Sistema Único de Saúde. Cad. Saúde Pública, 35(11):e00120718. pmid:31691779. https://doi.org/10.1590/0102-311X00120718
OLIVEIRA, R. A. D., Silva, D. R. X., Silva, M. G., Levin, J., Noronha. J. C. (2018). ACESSIBILIDADE GEOGRÁFICA A SERVIÇOS DE SAÚDE PARA ATENDIMENTO AO TRAUMA COMPLEXO NO BRASIL. Iniciativa Brasil Saúde Amanhã – Relatórios de Pesquisa. 38p. https://saudeamanha.fiocruz.br/wpcontent/uploads/2019/08/OLIVEIRA-RICARDO-et-al-Acessibilidade-geogra%CC%81ficaatendimento-trauma-complexo-primeira-abordagem-dezembro-2018.pdf.
OLIVEIRA, R. A. D., Silva D. R. X., Silva, M, G. (2022) Geographical accessibility to the supply of antiophidic sera in Brazil: Timely access possibilities. PLoS ONE 17(1): e0260326. https://doi.org/10.1371/journal.pone.0260326
OPEN STREET MAP (OSM). (2019), Open Street Map. https://www.openstreetmap.org/.
OUMA, P. O., Maina, J. K., Thuranira, P. N., Macharia, P. M., Alegana, V. A., English, M., Okiro, E. A., Snow, R. W. (2018). Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis. Lancet Global Health. 6. e342–e350. DOI: 10.1016/S2214-109X(17)30488-6
PEDROSO, M. M., Salles, R. P., Saldanha, R. F., Kreischer, V., Souto, G. , Paixão, B. , Cruz, S. R. B., Cardoso, C., Ribeiro, V. P. D., Gritz, R., Bonifacio, C. , Miloski, M., Sousa, C. A. M., Alencar, G. P., Alves, A., Niero Neto, N., Silva, L. S., Ogasawara, E., Barcello, C., Porto, F. A. M., Carraro, L. Z., Lima, J. C. Data Science Platform applied to Health in contribution to the Brazilian Unified Health System. Proceedings of the VLDB Endowment, v. 14, p. 1-16, 2023. Disponível em: https://ceur-ws.org/Vol-3462/DEco2.pdf.
PEREIRA, R. H. M., Saraiva, M., Herszenhut, D., Braga, C. K. V., & Conway, M. W. (2021). r5r: Rapid Realistic Routing on Multimodal Transport Networks with R5 in R. Findings, 21262. https://doi.org/10.32866/001c.21262
PETERS, D. H., Garg, A., Bloom, G., Walker, D. G., Brieger, W. R., Rahman, M.H. (2008) Poverty and access to health care in developing countries. Ann NY Acad Sci, 1136:161-71. ttps://doi.org/10.1196/annals.1425.011
POIRIER, O., Ruiz de Castañeda, R., Bolon, I. & Ray, N. (2021). Modeling forest degradation and risk of disease outbreaks in mainland Equatorial Guinea. Journal of Public Health and Emergency, 5:15. https://doi: 10.21037/jphe-20-97
RAY, N., Ebener, S. (2008). AccessMod 3.0: computing geographic coverage and accessibility to health care services using anisotropic movement of patients. Int J Health Geogr. 7(63). pmid:19087277. https://doi.org/10.1186/1476-072X-7-63
Rocha, T.A.H., da Silva, N.C., Amaral, P.V. et al. (2017). Addressing geographic access barriers to emergency care services: a national ecologic study of hospitals in Brazil. Int J Equity Health 16, 149. https://doi.org/10.1186/s12939-017-0645-4
SCHMITZ, M. M., Serbanescu, F., Kamara, V., Kraft, J. M., Cunningham, M., Opio, G., Komakech, P., Conlon, C. M., Goodwin, M. M. (2019). Did Saving Mothers, Giving Life Expand Timely Access to Lifesaving Care in Uganda? A Spatial District-Level Analysis of Travel Time to Emergency Obstetric and Newborn Care. Glob Health Sci Pract 7(Suppl 1):S151-S167. https://doi.org/10.9745/GHSP-D-18-00366
SRTMGL3-versão 3 (2019). Earth Data—Open Access for Open Science. https://earthdata.nasa.gov/eosdis/daacs/lpdaac.
World Health Organization (WHO). (2018) Accesmod 5. https://www.accessmod.org/.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2024 Ricardo Oliveira, Marcel Pedroso, Diego Silva
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
A revista se reserva o direito de efetuar, nos originais, alterações de ordem normativa, ortográfica e gramatical, com vistas a manter o padrão culto da língua e a credibilidade do veículo. Respeitará, no entanto, o estilo de escrever dos autores. Alterações, correções ou sugestões de ordem conceitual serão encaminhadas aos autores, quando necessário.
<a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.