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.

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.

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.

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.

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.

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.

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.

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.

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.

Abstract: The aim of this cross-sectional study was to evaluate the factors associated with the search by Brazilian and Portuguese dentists for oral health information on social networks during the COVID-19 pandemic. A total of 597 Brazilian and Portuguese dentists answered an online questionnaire between January 17 and 31, 2021. Respondents were asked about sociodemographic data, weight and height, hours of sleep per night, screen time for work and leisure, and where they sought information about general and/or oral health for themselves and for their loved ones and information about COVID-19. Descriptive statistics and binary regression were used for the statistical analysis. Most participants were Brazilian (62.8%) and 451 (75.5%) were female. Mean age was 42.1 years (± 12.5 years). For every lost hour of sleep, the chances of participants frequently or always searching for information about self-perceived oral health problems on lay websites increased by 1.33 times. For every additional hour spent on social networks or on the Internet, the likelihood of participants frequently searching for self-perceived oral health problems on lay websites increased by 17% (OR = 1.17; 95% CI: 1.06–1.30). Individuals who searched the Internet for information about COVID-19 symptoms before consulting their doctors were 3.85 times more likely (95% CI: 2.22–6.67) to frequently or always search for information about self-perceived oral health problems on lay websites. Dentists used lay websites to search for general and oral health knowledge during the COVID-19 pandemic, and shorter sleep duration favored screen use.

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.

ABSTRACT Objective: To describe dental findings of kidney and liver, pre and post-transplant patients of an oral health care service from a Brazilian Southeast state. Material and Methods: A descriptive cross-sectional study was developed with a sample of patients attending the oral health care program for transplantation of Universidade Federal de Minas Gerais. Participants were divided into two groups according to the kind of transplantation-kidney or liver. Characteristics of the sample, sex (male/female), age (18-44; 45-54; 55-80), living region (Belo Horizonte, or outside), phase of transplantation (pre-Tx or post-Tx), and self-report of diabetes mellitus and hypertension were presented by frequencies. Dental caries experienced was measured by Decayed, Missing and Filled-Teeth (DMF-T) index. Results: 185 patients, kidney (46; 24.9%), and liver (139; 75.1%) were included. Mean DMFT was 18.3 (20.0). DMFT scores of males (18.7; 20.0), females (17.2; 18.0), pre-transplanted (18.3; 20.0), and post-transplanted (18.1; 20.0) were similar. The liver transplantation group (19.3; 20.0) showed higher caries experience comparing to kidney´s (15.2; 17.0). Conclusion: Dental caries experience was high in kidney and liver patients under transplantation therapy. This highlights the demand for treatment need in this population.

Abstract This study investigated the factors associated with new carious lesions in one-to five-year-old children with developmental disabilities. This was a retrospective cohort that evaluated 64 dental charts of individuals with caries or fillings in their first dental appointment. The dependent variable was the occurrence of a new carious lesion or restoration. Gender, age, mother’s education, sugar consumption, oral hygiene, mouth breathing, reports of xerostomia, gingival status, use of psychotropic drugs, use of asthma drugs, history of asthma, bronchitis, reflux or seizures and having at least one sibling were covariates. Cox proportional hazards regression model was used to estimate the raw and adjusted hazard ratios with their respective 95% confidence interval. The average time that individuals remained free of dental caries/restoration was 79.49 months (95%CI: 64.37 to 92.61). Increase in sucrose consumption increased the rate of caries recurrence (HR = 1.16; 95%CI: 1.04 to 1.30). Individuals who had poor oral hygiene had higher rate of new dental caries (HR = 3.88; 95%CI: 1.22 to 12.37) compared to those with good oral hygiene. The presence of mouth breathing decreased the rate of recurrence of the disease when compared to the nasal breathing (HR = 0.32; 95%CI: 0.15 to 0.70). Oral health-related behaviors and nasal respiration influenced the rate of dental caries recurrence in individuals with developmental disabilities.

Abstract Objective: To describe and analyze the availability and factors related to the presence of analgesics and non-steroidal anti-inflammatory drugs in the Brazilian public primary healthcare system. Material and Methods: This was a cross-sectional study that evaluated 17,903 health units that participated in the National Program for Primary Care Access and Quality Improvement (2013-2014). The dependent variable was defined as the presence of metamizole, ibuprofen, and acetaminophen in a sufficient amount. The independent variables included the type of primary health care unit, the presence of a medication disposal area, the number of physicians, nurses, and dental practitioners; and the number of primary care units with family and oral health teams. For statistical analysis, unadjusted and adjusted Odds Ratio (OR) (95% CI) were presented. Results: The three medicines were available in 62.4% of the units. Regarding Health Clinics, the Basic Health Units (OR= 1.31, CI95% 1.18-1.44), Polyclinic (OR= 2.00, 95% CI, 1.15 -3.48), and others (OR= 1.37; 95% CI 1.14-1.63) had higher chances of availability of all three drugs. The presence of a disposal area (OR = 1.64, 95% CI 1.51-1.77) and the number of physicians (OR= 1.04, 95% CI 1.00-1.08), nurses (OR= 1.08, 95% CI 1.03- 1.13), and dental practitioners (OR= 1.09, 95% CI 1.04-1.14) increased the availability odds of the analyzed drugs in the service. Conclusion: The structure of the healthcare units and the higher number of professionals were positively associated with the availability of these drugs.