Estratificação de municípios brasileiros para avaliação de desempenho em saúde

Calvo, Maria Cristina Marino; Lacerda, Josimari Telino de; Colussi, Claúdia Flemming; Schneider, Ione Jayce Ceola; Rocha, Thiago Augusto Hernandes

doi:10.5123/s1679-49742016000400010

Cited by 50 publications

(45 citation statements)

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“…Larger municipalities have more difficulties in equating public policy actions, while smaller ones are able to meet the basic needs of the population more easily. 24,25 As well as that found by other researchers, 4,11 the North region was the one that presented the worst results, requiring a development model committed to the reduction of regional inequalities and integration between levels of health care, combined with economic and social policies geared towards social inclusion.…”

Section: Discussionmentioning

confidence: 86%

Evaluation of prenatal care in Primary Health Care in Brazil

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Alcauza

et al. 2019

Rev. Bras. Saude Mater. Infant.

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Objectives: to evaluate prenatal care in Primary Care by identifying the aspects that influence structural and operational adequacy. Methods: evaluation research with analysis of 4,059 municipalities that joined the 2nd cycle of the Program for Improving Access and Quality in Primary Care in 2013-2014. The evaluative model composed of 19 indicators grouped in structural aspects and operational aspects dimensions was validated in a consensus conference. Data analysis was descriptive, with the issuance of value judgment. Results: in structural aspects, 32.6% of the municipalities presented adequacy, whilst in operational ones, only 24.1%. In the general prenatal evaluation, less than a quarter (24.6%) of the municipalities was adequate, those with up to 10 thousand inhabitants had a higher percentage of adequacy (41.6%). The South region presented adequacy of 33.8%, considering all sizes. Conclusions: most municipalities presented low adequacy in prenatal care, with better performance of structural aspects. Smaller municipalities presented better results in all analyzed items. Structural aspects and general evaluation of prenatal care are highlighted in the South region. Adequate attention to prenatal care needs to be comprehensive and equitable, with the strengthening of regional networks geared towards social inclusion.

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Section: Discussionmentioning

confidence: 86%

Evaluation of prenatal care in Primary Health Care in Brazil

Cunha

Lacerda

Alcauza

et al. 2019

Rev. Bras. Saude Mater. Infant.

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“…Health management conditions: 1. Municipalities were classified in seven strata according to their size and features: small (unfavorable, regular, favorable), medium (unfavorable, regular, favorable) and large, in which similar municipalities were grouped as unfavorable, regular, favorable, based on 14 indicators with four basic categories (demographic, socioeconomic, health and structural service) [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Mapping risk of ischemic heart disease using machine learning in a Brazilian state

et al. 2020

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Cardiovascular diseases are the leading cause of deaths globally. Machine learning studies predicting mortality rates for ischemic heart disease (IHD) at the municipal level are very limited. The goal of this paper was to create and validate a Heart Health Care Index (HHCI) to predict risk of IHD based on location and risk factors. Secondary data, geographical information system (GIS) and machine learning were used to validate the HHCI and stratify the IHD municipality risk in the state of Paraná. A positive spatial autocorrelation was found (Moran’s I = 0.6472, p-value = 0.001), showing clusters of high IHD mortality. The Support Vector Machine, which had an RMSE of 0.789 and error proportion close to one (0.867), was the best for prediction among eight machine learning algorithms after validation. In the north and northwest regions of the state, HHCI was low and mortality clusters patterns were high. By creating an HHCI through ML, we can predict IHD mortality rate at municipal level, identifying predictive characteristics that impact health conditions of these localities’ guided health management decisions for improvements for IHD within the emergency care network in the state of Paraná.

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“…Previous studies have found a correlation between indicators of socioeconomic development and indicators of oral health and the allocation of human health resources [2, 27, 39, 40]. The variable “population size” was chosen based on literature findings that suggested that the number of inhabitants of a municipality can influence the health care model offered to the population [41, 42]. Data were collected from public domain databases and Brazilian governmental electronic sites (Department of Basic Attention (DAB), Department of Information Technology of the Public Health System (DATASUS) and IBGE) [23, 33, 34].…”

Section: Methodsmentioning

confidence: 99%

Factors associated with the inclusion of oral health technicians into the public health service in Brazil

et al. 2019

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Background The number of oral health technicians (OHT) in the public health service in Brazil is lower than the number of training school graduates. Thus, the objective of this study was to investigate possible factors associated with the inclusion of OHT in the public health service in Minas Gerais, Brazil, and its implications on oral health indicators. Methods This cross-sectional ecological study used a database (Excel) composed of 122 municipalities that participated in an OHT training course that took place between 2012 and 2013. Municipal contextual variables, including oral health indicators and sociodemographic indicators, related to the organization of health services were incorporated before and after the course. The dependent variable was the entry of graduates into the public health service according to a self-report survey conducted in 2015. A descriptive analysis of the variables was carried out, followed by bivariate analyses between the independent variables and the dependent variable using Pearson’s chi-square test. The independent variables selected for multivariate logistic regression were statistically significant at p < 0.20. In the final model, significant effects were identified for variables with p < 0.05. The statistical software SPSS 18.0 for Windows was used. Results After the course, the variable of the public service organization and the two variables of oral health indicators were associated with the outcome. The organization services variable “presence of oral health team modality II” and the variable “indicator of coverage of first dental programmatic consultation” presented an association tendency with the entry of OHT in the multivariate logistic regression model, but these associations were not statistically significant because they had significance levels of p = 0.075 and p = 0.191, respectively. The variable “collective action indicator supervised dental brushing” was associated with the entry of egress ( p = 0.045) remaining in the final model. Conclusion The model of organization of the oral health service formed through the implementation of modality II oral health teams positively influenced the inclusion of OHT in the public health service in Minas Gerais, with improvement in the oral health indicators of the municipalities.

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Estratificação de municípios brasileiros para avaliação de desempenho em saúde

Abstract: the proposed classification grouped similar municipalities regarding influential factors in health management, which allowed the identification of comparable groups of municipalities, setting up a consistent alternative to performance evaluation studies.

Cited by 50 publications

References 0 publications

Evaluation of prenatal care in Primary Health Care in Brazil

Evaluation of prenatal care in Primary Health Care in Brazil

Mapping risk of ischemic heart disease using machine learning in a Brazilian state

Factors associated with the inclusion of oral health technicians into the public health service in Brazil

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