The Role of Socioeconomic and Health Services Organizational Factors on Infection Control Structure Score, Brazil.

This study aimed to analyze possible associations between the Infection Control Structure Score (ICSS), health services, and social characteristics of the municipalities in Brazil. Secondary data from the third cycle 2017-2018 of the Brazilian National Program for Improving Primary Care Access and Quality (PMAQ) was analyzed. Six independent variables - FIRJAN Index of Municipal Development, number of inhabitants, number of family health teams receiving a financial incentive from the federal government, healthcare expenditure per capita, and number of Oral Health Teams modalities 1 and 2 - were included to assess their influence on ICSS, measured for each Brazilian town. Data analysis used the Classification and Regression Tree model performed with IBM SPSS 25. A total of 4,900 municipalities were included, and the mean ICSS was 0.905 (±0.092). A positive relationship was observed between healthcare expenditure per capita, municipal development, and the outcome. Conversely, towns with a higher number of family health teams receiving a financial incentive from the federal government showed lower mean ICSS. The findings suggest that inequalities in the infection control structures exist within the country, and they were related to the health services and social characteristics of the municipalities.

The Role of Socioeconomic and Health Services Organizational Factors on Infection Control Structure Score, Brazil / O Papel dos Fatores Socioeconômicos e de Organização dos Serviços de Saúde sobre o Escore da Estrutura de Controle de Infecção, Brasil

Abstract This study aimed to analyze possible associations between the Infection Control Structure Score (ICSS), health services, and social characteristics of the municipalities in Brazil. Secondary data from the third cycle 2017-2018 of the Brazilian National Program for Improving Primary Care Access and Quality (PMAQ) was analyzed. Six independent variables - FIRJAN Index of Municipal Development, number of inhabitants, number of family health teams receiving a financial incentive from the federal government, healthcare expenditure per capita, and number of Oral Health Teams modalities 1 and 2 - were included to assess their influence on ICSS, measured for each Brazilian town. Data analysis used the Classification and Regression Tree model performed with IBM SPSS 25. A total of 4,900 municipalities were included, and the mean ICSS was 0.905 (±0.092). A positive relationship was observed between healthcare expenditure per capita, municipal development, and the outcome. Conversely, towns with a higher number of family health teams receiving a financial incentive from the federal government showed lower mean ICSS. The findings suggest that inequalities in the infection control structures exist within the country, and they were related to the health services and social characteristics of the municipalities.

Resumo Este estudo objetivou analisar as possíveis associações entre o Escore da Estrutura de Controle de Infecção (EECI), os serviços de saúde e características sociais dos municípios brasileiros. Foram analisados dados secundários do terceiro ciclo 2017-2018 do Programa Nacional de Melhoria do Acesso e Qualidade da Atenção Básica (PMAQ). Seis variáveis independentes - Índice FIRJAN de Desenvolvimento Municipal, número de habitantes, número de Equipes de Saúde da Família que recebiam incentivo financeiro do governo federal, gasto com saúde per capita e número de Equipes de Saúde Bucal modalidades 1 e 2 - foram incluídas para avaliar a influência sobre o EECI, medido para cada município brasileiro. Para a análise dos dados, foi utilizado o modelo de Árvore de Classificação e Regressão no IBM SPSS 25. Foram incluídos 4.900 municípios, e o EECI médio foi de 0,905 (±0,092). Observou-se uma associação positiva entre o gasto com saúde per capita, o desenvolvimento municipal e o desfecho. Por outro lado, municípios com maior número de Equipes de Saúde da Família com incentivo financeiro do governo federal apresentaram menor média do EECI. Os achados sugerem que existem desigualdades nas estruturas de controle de infecções no país, relacionadas aos serviços de saúde e às características sociais dos municípios.

Factors associated with the use of a public information system of dentist-prescribed antibiotics in Minas Gerais, Brazil / Fatores associados ao uso de um sistema de informação público de antibióticos prescritos por cirurgiões-dentistas em Minas Gerais, Brasil

Abstract This article aims to investigate the association between socioeconomic factors, health care organizations, and the use of a management and monitoring system for the dispensing of antibiotics prescribed by dentists in public health services in Minas Gerais, Brazil. This is an ecological-epidemiological study that analyzed secondary data from the Integrated Pharmaceutical Care Management System (SIGAF) of the Department of Health of the state of MG, Brazil, in 2017. Thirteen independent variables were analyzed to assess their influence on municipal adherence to SIGAF system considering dental prescriptions of antibiotics. Descriptive statistical analyses were performed, and the Classification and Regression Tree technique was used to identify the municipal variables associated with the outcome. A total of 57,279 antibiotic courses prescribed by dentists and recorded in SIGAF were examined. Socioeconomic factors were not associated with the use of SIGAF to record these prescriptions. Oral healthcare coverage was positively associated with the use of SIGAF for the dispensing of antibiotics prescribed by dentists. Dental Specialties Center were negatively associated with the outcome. Municipalities with high oral healthcare coverage and those without a Dental Specialties Center were more likely to use SIGAF.

Resumo O objetivo deste artigo é avaliar a associação entre fatores socioeconômicos, organização dos serviços de saúde e a utilização de um sistema de gestão e monitoramento da dispensação de antibióticos prescritos por cirurgiões-dentistas em Minas Gerais, Brasil. Estudo epidemiológico ecológico que analisou dados secundários do Sistema Integrado de Gestão da Assistência Farmacêutica (SIGAF) da Secretaria de Estado de Saúde de MG, Brasil, em 2017. Treze variáveis independentes foram analisadas para testar a influência destas com a adesão dos municípios ao SIGAF das prescrições odontológicas de antibióticos. Foram realizadas análises estatísticas descritivas, e a técnica de Árvore de Classificação e Regressão foi utilizada. Foram examinadas 57.279 prescrições de antibióticos prescritos por dentistas e registradas no SIGAF. Fatores socioeconômicos não foram associados ao uso do SIGAF para registro dessas prescrições. A cobertura de saúde bucal esteve positivamente associada à utilização do SIGAF para as dispensações de antibióticos prescritos por cirurgiões-dentistas. A presença de Centro De Especialidade Odontológica, esteve negativamente associado ao desfecho. Municípios com maior cobertura de saúde bucal e sem Centro de Especialidade Odontológica foram mais propensos a utilizar o SIGAF.

Factors associated with the use of a public information system of dentist-prescribed antibiotics in Minas Gerais, Brazil.

This article aims to investigate the association between socioeconomic factors, health care organizations, and the use of a management and monitoring system for the dispensing of antibiotics prescribed by dentists in public health services in Minas Gerais, Brazil. This is an ecological-epidemiological study that analyzed secondary data from the Integrated Pharmaceutical Care Management System (SIGAF) of the Department of Health of the state of MG, Brazil, in 2017. Thirteen independent variables were analyzed to assess their influence on municipal adherence to SIGAF system considering dental prescriptions of antibiotics. Descriptive statistical analyses were performed, and the Classification and Regression Tree technique was used to identify the municipal variables associated with the outcome. A total of 57,279 antibiotic courses prescribed by dentists and recorded in SIGAF were examined. Socioeconomic factors were not associated with the use of SIGAF to record these prescriptions. Oral healthcare coverage was positively associated with the use of SIGAF for the dispensing of antibiotics prescribed by dentists. Dental Specialties Center were negatively associated with the outcome. Municipalities with high oral healthcare coverage and those without a Dental Specialties Center were more likely to use SIGAF.

What we know about antibiotics prescribed by dentists in a Brazilian southeastern state.

The objective of this study was to analyze possible associations between antibiotic dental prescriptions in the public health service, health service characteristics, and social characteristics of the municipalities. Using the register of dispensing in the public health service of a state in the Southeast region of Brazil, in 2017 we analyzed patterns of antibiotic prescriptions by dentists. Data were obtained from the Integrated Pharmaceutical Services Management System (SIGAF, in Portuguese). The outcome variable was the number of Daily Defined Doses (DDD) per 1,000 residents/year in each municipality. CART (Classification and Regression Tree) technique was used to determine the influence of the following variables: populational social characteristics (Human Development Index, Gini Index, the proportion of rural population and proportion of families benefiting from the Bolsa Família Program) and oral health services characteristics (access to individual dental care, number of dentists and oral health teams per 1,000 residents, and percentage of preventive and restorative individual dental procedures. Data analysis was performed using IBM SPSS Statistics 21.0. Antibiotics were the medications most prescribed by dentists in the public health service, with penicillin being the most frequently prescribed class. The average DDD/1,000 residents/year for the 421 municipalities surveyed was 96.54 (range 0.008 and 619.660). Select factors were associated with antibiotic prescriptions including access to individual dental care (Adjusted p-value ≤0.001), a number of oral health teams/1,000 inhabitants (Adjusted p-value=0.001), and Gini Index (Adjusted p-value = 0.046). Access to oral health services and inequality were associated with the use of antibiotics.

What we know about antibiotics prescribed by dentists in a Brazilian southeastern state

Abstract The objective of this study was to analyze possible associations between antibiotic dental prescriptions in the public health service, health service characteristics, and social characteristics of the municipalities. Using the register of dispensing in the public health service of a state in the Southeast region of Brazil, in 2017 we analyzed patterns of antibiotic prescriptions by dentists. Data were obtained from the Integrated Pharmaceutical Services Management System (SIGAF, in Portuguese). The outcome variable was the number of Daily Defined Doses (DDD) per 1,000 residents/year in each municipality. CART (Classification and Regression Tree) technique was used to determine the influence of the following variables: populational social characteristics (Human Development Index, Gini Index, the proportion of rural population and proportion of families benefiting from the Bolsa Família Program) and oral health services characteristics (access to individual dental care, number of dentists and oral health teams per 1,000 residents, and percentage of preventive and restorative individual dental procedures. Data analysis was performed using IBM SPSS Statistics 21.0. Antibiotics were the medications most prescribed by dentists in the public health service, with penicillin being the most frequently prescribed class. The average DDD/1,000 residents/year for the 421 municipalities surveyed was 96.54 (range 0.008 and 619.660). Select factors were associated with antibiotic prescriptions including access to individual dental care (Adjusted p-value ≤0.001), a number of oral health teams/1,000 inhabitants (Adjusted p-value=0.001), and Gini Index (Adjusted p-value = 0.046). Access to oral health services and inequality were associated with the use of antibiotics.

A Description of Infection Control Structure in Primary Dental Health Care, Brazil.

OBJECTIVE: This study is aimed at describing a score to assess infection control structures in Oral Health Teams (OHT) in Primary Health Care (PHC) in Brazil. METHODS: Secondary data from a national external evaluation of PHC conducted in 2017 and 2018 were analyzed. The construction of the score used 14 variables, divided into the following: structural characteristics of the PHC, infection control equipment under conditions of use, and biosafety supplies in sufficient quantity. The questions were mostly dichotomous (yes/no). Descriptive analyses were carried out to characterize the OHT and factor analyses to reduce the number of observed variables to a specific number of factors. RESULTS: Among 20,301 health units with OHT, 4,510 (22.2%) units did not have washable floors, ceilings, and walls; 8,406 (41.4%) did not have a sealer; 16,780 (82.7%) did not have taps with noncontact activation, and 4,663 (23.0%) units did not have rubber gloves. Regarding personal protective equipment (PPE), 1,618 (8.0%) units did not have a sufficient quantity of basic PPE. Three factors were defined to explain the 14 evaluated variables. The South region had the best score of infection control, while the North had the worst. CONCLUSIONS: Regional inequalities in the failures in infection control structures identified in PHC with OHT were related to the physical structure, equipment, and supplies used for infection control and the absence of PPE for OHT.

Prescriptions of analgesics and anti-inflammatory drugs in municipalities from a Brazilian Southeast state

Abstract The objective of this study was to describe dental prescriptions of non-steroidal anti-inflammatory drugs (NSAID), opioids, and analgesics dispensed by the Brazilian National Health System (BNHS, SUS in Portuguese) of a Southeastern state from January to December 2017, and to analyze their association with socioeconomic and oral health care services' characteristics at municipal level. Data were collected from the Brazilian Integrated Pharmaceutical Care Management System. Medicines were grouped according to the Anatomical Therapeutic Chemical Classification System. The total number of Defined Daily Doses (DDD) and DDD per 1,000 inhabitants (inhab.) per year were presented and compared between groups of municipalities. Data analysis used the Classification and Regression Tree model performed with IBM SPSS 25.0. The total number of NSAID, opioids, and analgesics prescriptions was 70,747 and accounted for 354,221.13 DDD. The most frequently prescribed medicine was ibuprofen (n = 24,676; 34.88%). The number of dental practitioners in the BNHS per 1,000 inhab. (p < 0.001), first dental appointment coverage (p = 0.010), oral health teams per 1,000 inhab. (p=0.022), and the proportion of rural population (p = 0.014) were variables positively associated with the number of DDD of NSAID per 1,000 inhab. per year. Bolsa Família program coverage per 1,000 inhab. (p = 0.022) was negatively associated with NSAID prescription. Regarding analgesics, first dental appointment coverage (p=0.002) and Bolsa Família program coverage per 1,000 inhab. (p = 0.012) were positively associated with DDD per 1,000 inhab. per year. In conclusion, dental prescriptions of analgesics and NSAID in the BNHS were associated with socioeconomic and oral health care services' characteristics.

Prescriptions of analgesics and anti-inflammatory drugs in municipalities from a Brazilian Southeast state.

The objective of this study was to describe dental prescriptions of non-steroidal anti-inflammatory drugs (NSAID), opioids, and analgesics dispensed by the Brazilian National Health System (BNHS, SUS in Portuguese) of a Southeastern state from January to December 2017, and to analyze their association with socioeconomic and oral health care services' characteristics at municipal level. Data were collected from the Brazilian Integrated Pharmaceutical Care Management System. Medicines were grouped according to the Anatomical Therapeutic Chemical Classification System. The total number of Defined Daily Doses (DDD) and DDD per 1,000 inhabitants (inhab.) per year were presented and compared between groups of municipalities. Data analysis used the Classification and Regression Tree model performed with IBM SPSS 25.0. The total number of NSAID, opioids, and analgesics prescriptions was 70,747 and accounted for 354,221.13 DDD. The most frequently prescribed medicine was ibuprofen (n = 24,676; 34.88%). The number of dental practitioners in the BNHS per 1,000 inhab. (p < 0.001), first dental appointment coverage (p = 0.010), oral health teams per 1,000 inhab. (p=0.022), and the proportion of rural population (p = 0.014) were variables positively associated with the number of DDD of NSAID per 1,000 inhab. per year. Bolsa Família program coverage per 1,000 inhab. (p = 0.022) was negatively associated with NSAID prescription. Regarding analgesics, first dental appointment coverage (p=0.002) and Bolsa Família program coverage per 1,000 inhab. (p = 0.012) were positively associated with DDD per 1,000 inhab. per year. In conclusion, dental prescriptions of analgesics and NSAID in the BNHS were associated with socioeconomic and oral health care services' characteristics.