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10.1590/S2237-96222026v35e20240725.en

http://scihub22266oqcxt.onion/10.1590/S2237-96222026v35e20240725.en
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41337602!?!41337602

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suck abstract from ncbi

pmid41337602      Epidemiol+Serv+Saude 2025 ; 35 (?): e20240725
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  • Geographic disparities and temporal trends regarding access to cancer treatment: a spatial analysis, Brazil, 2015-2022 #MMPMID41337602
  • Sousa EL; Rodrigues FDCA; Saraiva JGC; Santos RSM; Zagury DGM; Brito GE
  • Epidemiol Serv Saude 2025[]; 35 (?): e20240725 PMID41337602show ga
  • OBJECTIVE: To analyze spatial clusters and temporal trends regarding patients commuting to access cancer treatment in Brazil between 2015 and 2022. METHODS: This was a spatial analysis using data from hospital and outpatient information systems (2015-2022). Absolute and relative frequencies of treatments (surgery, chemotherapy, and radiotherapy) and commuting patterns were calculated. Cluster analysis (K-means) categorized distances into three intervals: low (2.1-261.4 km), medium (261.6-762.2 km), and high (764.0-3,865.8 km). Temporal trends were assessed by Prais-Winsten regression, estimating annual percentage change (beta) and confidence intervals (95%CI) as a measure of dispersion. RESULTS: Of the 27,204,159 cancer services provided, 55.2% involved displacement to other municipalities. During the period, 3.6% of patients received surgical treatment, 7.1% received radiotherapy, and 89.3% received chemotherapy. There was a reduction in the distances traveled for hospitalization, from 93.0 km in 2015 to 84.2 km in 2022, with an annual decrease of 0.8% (95%CI -0.9; -0.7). For chemotherapy, the reduction was from 87.8 km to 83.5 km, with a variation of -0.4% per year (95%CI -0.4; -0.3). Distances for radiotherapy remained stable, with a slight variation of -0.3% (95%CI -0.9; 0.2). CONCLUSION: The reduction in the distance traveled for hospitalization and chemotherapy contrasts with the stability in radiotherapy. The maintenance of long journeys for radiotherapy highlights disparities in the geographical distribution of these services. Thus, the urgency of decentralizing oncology services and investing in regional infrastructure is underscored to ensure access for the population, particularly those residing in rural and remote areas, and to guarantee equitable access to highly complex treatments.
  • |*Health Services Accessibility/statistics & numerical data/trends[MESH]
  • |*Healthcare Disparities/trends/statistics & numerical data[MESH]
  • |*Neoplasms/therapy[MESH]
  • |*Transportation/statistics & numerical data[MESH]
  • |Brazil[MESH]
  • |Cluster Analysis[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Spatial Analysis[MESH]


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