Dataset Information

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil.

ABSTRACT:

Introduction

Breast cancer remains an important public health problem that is responsible for high morbidity and mortality rates, especially in developing countries.

Objective

To analyze the socioeconomic and access disparities related to breast cancer mortality in 399 cities in the state of Parana, Brazil.

Methods

Ecological, descriptive and analytical cross-sectional study based on secondary data from the Mortality Information System from 2009 to 2012 in the state of Parana. Breast cancer mortality rate was calculated considering the mortality cases and women population of each municipality, both based on women older than 20 years old. Moran global and local analyses were used to verify the presence of spatial autocorrelation and spatial regression modeling (Spatial Lag-SAR) with the purpose of analyzing the association between socioeconomic indicators, access and mortality rates for breast cancer.

Results

Significant positive spatial autocorrelation was found for breast cancer mortality rates (I = 0.5432, p = 0.001). In the spatial regression analysis, the model explained 61% of the variance of the mortality rates for breast cancer. The mortality rate for breast cancer was negatively associated with the illiteracy rate (Coefficient = -0.0279) and positively associated with the access index (Coefficient = 12.9525).

Conclusion

The lower illiteracy rate has not been sufficient to reduce the specific mortality rate by breast cancer, and the higher the score of accessibility to cancer services, the higher the specific mortality due to breast cancer. The results show that in the state of Parana, the problem is not related to a lack of education of the patients or the distance walked, but rather with the organization of services. These conclusions have important political implications on the organization and quality of the services provided for the diagnosis and treatment of breast cancer in the state of Parana.

SUBMITTER: Rocha-Brischiliari SC

PROVIDER: S-EPMC6209172 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil.

Rocha-Brischiliari Sheila Cristina SC Andrade Luciano L Nihei Oscar Kenji OK Brischiliari Adriano A Hortelan Michele Dos Santos MDS Carvalho Maria Dalva de Barros MDB Pelloso Sandra Marisa SM

PloS one 20181031 10

<h4>Introduction</h4>Breast cancer remains an important public health problem that is responsible for high morbidity and mortality rates, especially in developing countries.<h4>Objective</h4>To analyze the socioeconomic and access disparities related to breast cancer mortality in 399 cities in the state of Parana, Brazil.<h4>Methods</h4>Ecological, descriptive and analytical cross-sectional study based on secondary data from the Mortality Information System from 2009 to 2012 in the state of Para ...[more]

PMID: 30379833

Similar Datasets

Project description:ObjectiveThe aim of this observational cross-sectional study was to analyse the spatial distribution of major lower limb amputation (MLLA) rates and associate them to socioeconomic, demographic and public healthcare access-related variables in the State of Paraná, Brazil, from 2012 to 2017.MethodData on MLLA, revascularisation surgeries, diagnostic exams and healthcare coverage were obtained from the Brazilian Public Hospital Information System. Socioeconomic data were obtained from the Brazilian Institute of Geography and Statistics. Spatial autocorrelation of the MLLA rates was tested using Moran's I method. Multivariate spatial regression models using ordinary least squares regression (OLS) and geographically weighted regression (GWR) were used to identify the variables significantly correlated with MLLA.ResultsA total of 5270 MLLA were included in the analysis. Mean MLLA rates were 24.32 (±18.22)/100 000 inhabitants, showing a positive global spatial autocorrelation (Moran's I=0.66; p<0.001). Queen contiguity matrix demonstrates that MLLA rates ranged from 7.6 to 46.6/100 000 with five large clusters of high MLLA rates. OLS showed that four of the nine studied variables presented significant spatial correlation with MLLA rates. Colour Doppler ultrasound showed a negative association (p<0.001), while revascularisation surgeries and illiteracy showed a positive correlation (p<0.01). GWR presented the best model (adjusted R2=0.77) showing that the predictors differentially affect the MLLA rates geographically.ConclusionThe high MLLA rates in some regions of the state are influenced by the high rate of illiteracy and low utilisation rate of colour Doppler, indicating a social problem and difficulty in accessing health. On the other hand, the high rates of revascularisation surgeries are related to higher MLLA rates, possibly due to delayed access to specialised hospitals. This indicates that attention must be given to population access to public healthcare in the State of Paraná in order to ensure proper and timely medical attention.

Project description:After obtaining certification of the absence of transmission of the Trypanosoma cruzi by Triatoma infestans in 2006, other native species of protozoan vectors have been found in human dwellings within municipalities of the State of Paraná, Southern Brazil. However, the spatial distribution of T. cruzi vectors and how climatic and landscape combined variables explain the distribution are still poorly understood. The goal of this study was to predict the potential distribution of T. cruzi vectors as a proxy for Chagas disease transmission risk using Ecological Niche Models (ENMs) based on climatic and landscape variables. We hypothesize that ENM based on both climate and landscape variables are more powerful than climate-only or landscape-only models, and that this will be true independent of vector species. A total of 2,662 records of triatomines of five species were obtained by community-based entomological surveillance from 2007 to 2013. The species with the highest number of specimens was Panstrongylus megistus (73%; n = 1,943), followed by Panstrongylus geniculatus (15.4%; 411), Rhodnius neglectus (6.0%; 159), Triatoma sordida (4.5%; 119) and Rhodnius prolixus (1.1%; 30). Of the total, 71.9% were captured at the intradomicile. T. cruzi infection was observed in 19.7% of the 2,472 examined insects. ENMs were generated based on selected climate and landscape variables with 1 km2 spatial resolution. Zonal statistics were used for classifying the municipalities as to the risk of occurrence of synanthropic triatomines. The integrated analysis of the climate and landscape suitability on triatomines geographical distribution was powerful on generating good predictive models. Moreover, this showed that some municipalities in the northwest, north and northeast of the Paraná state have a higher risk of T. cruzi vector transmission. This occurs because those regions present high climatic and landscape suitability values for occurrence of their vectors. The frequent invasion of houses by infected triatomines clearly indicates a greater risk of transmission of T. cruzi to the inhabitants. More public health attention should be given in the northern areas of the State of Paraná, which presents high climate and landscape suitabilities for the disease vectors. In conclusion, our results-through spatial analysis and predictive maps-showed to be effective in identifying areas of potential distribution and, consequently, in the definition of strategic areas and actions to prevent new cases of Chagas' disease, reinforcing the need for continuous and robust surveillance in these areas.

Project description:OBJECTIVE:Evaluate disparities in a Brazilian state by conducting an analysis to determine whether socioeconomic status was associated with the reported intimate partner sexual violence (IPSV) rates against women. DESIGN:A retrospective, ecological study. SETTINGS:Data retrieved from the Notifiable Diseases Information System database of the Ministry of Health of Brazil. PARTICIPANTS:All cases of IPSV (n=516) against women aged 15-49 years reported in the Notifiable Diseases Information System between 2009 and 2014. OUTCOME MEASURES:The data were evaluated through an exploratory analysis of spatial data. RESULTS:We identified a positive spatial self-correlation in the IPSV rate (0.7105, P?0.001). Five high-high-type clusters were identified, predominantly in the Metropolitan, West, South Central, Southwest, Southeast and North Central mesoregions, with only one cluster identified in the North Pioneer mesoregion. Our findings also indicated that the associations between the IPSV rate and socioeconomic predictors (women with higher education, civil registry of legal separations, economically active women, demographic density and average female income) were significantly spatially non-stationary; thus, the regression coefficients verified that certain variables in the model were associated with the IPSV rate in some regions of the state. In addition, the geographically weighted regression (GWR) model improved the understanding of the associations between socioeconomic indicators and the IPSV notification rate, showing a better adjustment than the ordinary least square (OLS) model (OLS vs GWR model: R2: 0.95 vs 0.99; Akaike information criterion: 4117.90 vs 3550.61; Moran's I: 0.0905 vs -0.0273, respectively). CONCLUSIONS:IPSV against women was heterogeneous in the state of Paraná. The GWR model showed a better fit and enabled the analysis of the distribution of each indicator in the state, which demonstrated the utility of this model for the study of IPSV dynamics and the indication of local determinants of IPSV notification rates.

Dataset Information

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil.

Introduction

Objective

Methods

Results

Conclusion

Publications

Spatial distribution of breast cancer mortality: Socioeconomic disparities and access to treatment in the state of Parana, Brazil.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets