Impacto da pandemia de COVID-19 na atenção básica à saúde dos idosos por exames de Antígeno Prostáticos (PSA) no município de Presidente Prudente, SP

Autores

DOI:

https://doi.org/10.53455/re.v6i.256

Palavras-chave:

COVID-19, PSA, idosos, Presidente Prudente, rastreamento

Resumo

Contexto: A pandemia de COVID-19 causou atrasos em procedimentos eletivos e exames de rotina, afetando populações vulneráveis. Este estudo avalia o impacto do decreto de emergência sanitária no rastreio de câncer de próstata e atendimento a idosos em Presidente Prudente, SP, usando modelos ARIMA. Desenvolvimento: Utilizando dados da Secretaria de Saúde local, foram analisadas médias de atendimentos através de modelos ARIMA, incluindo regressores para mudanças na tendência. A análise foi realizada no Programa R, com significância de 5%. Resultados: Houve redução imediata nos atendimentos após o decreto de 2020: 284 menos exames de PSA e 2470 menos atendimentos a idosos. O PSA recuperou os níveis anteriores, enquanto atendimentos a idosos se estabilizaram em patamar inferior. Ambos serviços apresentaram sazonalidade. O decreto impactou ambos os serviços em Presidente Prudente. A demanda foi recuperada, porém o atendimento a idosos permaneceu reduzido posteriormente.

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Referências

Annear, M. J., Otani, J., & Sun, J. (2016). Experiences of Japanese aged care: The pursuit of optimal health and cultural engagement. Age and Ageing, 45(6), 753–756. https://doi.org/10.1093/ageing/afw144 DOI: https://doi.org/10.1093/ageing/afw144

Arsenault, C., Gage, A., Kim, M. K., Kapoor, N. R., Akweongo, P., Amponsah, F., Aryal, A., Asai, D., Awoonor-Williams, J. K., Ayele, W., Bedregal, P., Doubova, S. V., Dulal, M., Gadeka, D. D., Gordon-Strachan, G., Mariam, D. H., Hensman, D., Joseph, J. P., Kaewkamjornchai, P., … Kruk, M. E. (2022). COVID-19 and resilience of healthcare systems in ten countries. Nature Medicine, 28(6), 1314–1324. https://doi.org/10.1038/s41591-022-01750-1 DOI: https://doi.org/10.1038/s41591-022-01750-1

Atlas Brasil. (2021). http://www.atlasbrasil.org.br/

Bastani, P., Mohammadpour, M., Samadbeik, M., Bastani, M., Rossi-Fedele, G., & Balasubramanian, M. (2021). Factors influencing access and utilization of health services among older people during the COVID − 19 pandemic: A scoping review. Archives of Public Health, 79(1), 190. https://doi.org/10.1186/s13690-021-00719-9 DOI: https://doi.org/10.1186/s13690-021-00719-9

Cazumbá, M. L. B., Marzano, L. A., Batista, J. P. T., Pereira, C. C. D. A., & Machado, C. J. (2022). National Academies of Sciences, Engineering, and Medicine. Airport Roles in Reducing Transmission of Communicable Diseases. Washington, DC: The National Academies Press; 2019. Ciência & Saúde Coletiva, 27(2), 813–815. https://doi.org/10.1590/1413-81232022272.37152020 DOI: https://doi.org/10.1590/1413-81232022272.37152020

Hyndman, R. J., & Khandakar, Y. (2008). Automatic Time Series Forecasting: The forecast Package for R. Journal of Statistical Software, 27(3). https://doi.org/10.18637/jss.v027.i03 DOI: https://doi.org/10.18637/jss.v027.i03

Kandananond, K. (2014). Guidelines for Applying Statistical Quality Control Method to Monitor Autocorrelated Prcoesses. Procedia Engineering, 69, 1449–1458. https://doi.org/10.1016/j.proeng.2014.03.141 DOI: https://doi.org/10.1016/j.proeng.2014.03.141

Lima, C. A., Da Silva, B. E. B., Hora, E. C., Lima, M. S., Brito, E. D. A. C., Santos, M. D. O., Da Silva, A. M., Nunes, M. A. P., Brito, H. L. D. F., & Lima, M. M. M. (2021). Trends in prostate cancer incidence and mortality to monitor control policies in a northeastern Brazilian state. PLOS ONE, 16(3), e0249009. https://doi.org/10.1371/journal.pone.0249009 DOI: https://doi.org/10.1371/journal.pone.0249009

Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–303. https://doi.org/10.1093/biomet/65.2.297 DOI: https://doi.org/10.1093/biomet/65.2.297

Matenge, S., Sturgiss, E., Desborough, J., Hall Dykgraaf, S., Dut, G., & Kidd, M. (2022). Ensuring the continuation of routine primary care during the COVID-19 pandemic: A review of the international literature. Family Practice, 39(4), 747–761. https://doi.org/10.1093/fampra/cmab115 DOI: https://doi.org/10.1093/fampra/cmab115

Miranda, G. M. D., Mendes, A. D. C. G., & Silva, A. L. A. D. (2016). Population aging in Brazil: Current and future social challenges and consequences. Revista Brasileira de Geriatria e Gerontologia, 19(3), 507–519. https://doi.org/10.1590/1809-98232016019.150140 DOI: https://doi.org/10.1590/1809-98232016019.150140

Miyah, Y., Benjelloun, M., Lairini, S., & Lahrichi, A. (2022). COVID-19 Impact on Public Health, Environment, Human Psychology, Global Socioeconomy, and Education. The Scientific World Journal, 2022, 1–8. https://doi.org/10.1155/2022/5578284 DOI: https://doi.org/10.1155/2022/5578284

Monaghesh, E., & Hajizadeh, A. (2020). The role of telehealth during COVID-19 outbreak: A systematic review based on current evidence. BMC Public Health, 20(1), 1193. https://doi.org/10.1186/s12889-020-09301-4 DOI: https://doi.org/10.1186/s12889-020-09301-4

Mori, R. R., Faria, E. F., Mauad, E. C., Rodrigues Jr., A. A., & Reis, R. B. D. (2020). Prostate cancer screening among elderly men in Brazil: Should we diagnose or not? International braz j urol, 46(1), 34–41. https://doi.org/10.1590/s1677-5538.ibju.2019.0022 DOI: https://doi.org/10.1590/s1677-5538.ibju.2019.0022

Oliveira, R. A. R. D., Guimarães, G. C., Mourão, T. C., Favaretto, R. D. L., Santana, T. B. M., Lopes, A., & Zequi, S. D. C. (2021). Prostate Cancer Screening in Brazil: A single center experience in the public health system. International braz j urol, 47(3), 558–565. https://doi.org/10.1590/s1677-5538.ibju.2020.0392 DOI: https://doi.org/10.1590/s1677-5538.ibju.2020.0392

Oliveira, R. A. R. D., Mourão, T. C., Santana, T. B. M., Favaretto, R. D. L., Zequi, S. D. C., & Guimarães, G. C. (2021). Cost-Effectiveness Analysis of Prostate Cancer Screening in Brazil. Value in Health Regional Issues, 26, 89–97. https://doi.org/10.1016/j.vhri.2021.02.002 DOI: https://doi.org/10.1016/j.vhri.2021.02.002

Penfold, R. B., & Zhang, F. (2013). Use of Interrupted Time Series Analysis in Evaluating Health Care Quality Improvements. Academic Pediatrics, 13(6), S38–S44. https://doi.org/10.1016/j.acap.2013.08.002 DOI: https://doi.org/10.1016/j.acap.2013.08.002

Perry, T. E. (2014). Seasonal Variation and Homes: Understanding the Social Experiences of Older Adults. Care Management Journals, 15(1), 3–10. https://doi.org/10.1891/1521-0987.15.1.3 DOI: https://doi.org/10.1891/1521-0987.15.1.3

Petretto, D. R., & Pili, R. (2020). Ageing and COVID-19: What Is the Role for Elderly People? Geriatrics, 5(2), 25. https://doi.org/10.3390/geriatrics5020025 DOI: https://doi.org/10.3390/geriatrics5020025

Ravindra, K., Malik, V. S., Padhi, B. K., Goel, S., & Gupta, M. (2022). Asymptomatic infection and transmission of COVID-19 among clusters: Systematic review and meta-analysis. Public Health, 203, 100–109. https://doi.org/10.1016/j.puhe.2021.12.003 DOI: https://doi.org/10.1016/j.puhe.2021.12.003

Schaffer, A. L., Dobbins, T. A., & Pearson, S.-A. (2021). Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: A guide for evaluating large-scale health interventions. BMC Medical Research Methodology, 21(1), 58. https://doi.org/10.1186/s12874-021-01235-8 DOI: https://doi.org/10.1186/s12874-021-01235-8

SEAD. (2022). Envelhecimento demográfico avança no território paulista (Informativo JULHO-2022; p. 1).

Turcato, G., Zaboli, A., & Pfeifer, N. (2020). The COVID-19 epidemic and reorganisation of triage, an observational study. Internal and Emergency Medicine, 15(8), 1517–1524. https://doi.org/10.1007/s11739-020-02465-2 DOI: https://doi.org/10.1007/s11739-020-02465-2

Veras, R. P., & Oliveira, M. (2018). Envelhecer no Brasil: A construção de um modelo de cuidado. Ciência & Saúde Coletiva, 23(6), 1929–1936. https://doi.org/10.1590/1413-81232018236.04722018 DOI: https://doi.org/10.1590/1413-81232018236.04722018

Zhang, X., Zhang, T., Young, A. A., & Li, X. (2014). Applications and Comparisons of Four Time Series Models in Epidemiological Surveillance Data. PLoS ONE, 9(2), e88075. https://doi.org/10.1371/journal.pone.0088075 DOI: https://doi.org/10.1371/journal.pone.0088075

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Publicado

01-01-2025

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Lucio, M., Teles, A., Fonseca, E., Giuffrida, R., & Santos, F. (2025). Impacto da pandemia de COVID-19 na atenção básica à saúde dos idosos por exames de Antígeno Prostáticos (PSA) no município de Presidente Prudente, SP. Estrabão, 6, 23–30. https://doi.org/10.53455/re.v6i.256

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