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OBJECTIVES: To evaluate the use of point-of-care testing to detect new cases of diabetes mellitus at a Brazilian public community pharmacy. METHODS: This cross-sectional study included individuals without a previous diagnosis of diabetes mellitus who met the criteria for screening according to the Brazilian Diabetes Society, which were identified during their presence at a Brazilian public community pharmacy. The measurements of HbA1c were performed using a Cobas b101 device (Roche Diagnostics) and were categorized according to the following classification established by the Brazilian Society of Diabetes: HbA1c <5.7%, normal; HbA1c between 5.7% and 6.4%, pre-diabetes; and HbA1c >6.4%, new diagnosis of T2DM. KEY FINDINGS: One hundred and eight users met the inclusion criteria. The patients' mean age was 54.4 (± 15.4) years old, ranging from 22 to 80 years old. Eighty (74.1%) participants presented with glycated haemoglobin levels over the standard threshold, of which 58 (72.5%) were in the pre-diabetes range (glycated haemoglobin levels between 5.7% and 6.4%), and 22 (27.5%) had glycated haemoglobin levels >6.4%, which corresponds to a new diagnosis of type 2 diabetes mellitus. CONCLUSIONS: The use of point-of-care glycated haemoglobin testing allowed community pharmacists at a Brazilian public community pharmacy to identify health system users with glycated haemoglobin alterations that corresponded to the pre-diabetes state or a new diagnosis of type 2 diabetes mellitus. This presented a good opportunity to refer these users to diabetes diagnosis and treatment services.

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Resumo Este estudo tem como objetivo analisar os atributos da Atenção Primária à Saúde (APS) abrangente a partir da atuação das equipes de Saúde da Família com foco nas doenças crônicas não transmissíveis. Pesquisa qualitativa realizada entre agosto de 2018 a julho de 2019, na APS de Vitória da Conquista, Bahia, com 40 profissionais de saúde, por meio de grupos focais e entrevistas. A partir da análise temática, os temas centrais corresponderam aos sete atributos da APS abrangente. Como resultados, as potencialidades do trabalho das equipes relacionaram-se com a priorização do acesso, ao amplo leque de serviços oferecidos e o reconhecimento da realidade comunitária/familiar. Destacaram-se obstáculos relacionados a oferta, acessibilidade e cobertura dos serviços, fragmentação na coordenação assistencial e informacional, dificuldades de desenvolvimento de práticas inclusivas com a família e etnicamente situadas, bem como na continuidade da assistência, notadamente para o contexto rural. Espera-se que os resultados apresentados possam confirmar a necessidade de investimentos e a instituição de processos sistemáticos de avaliação do trabalho das equipes de saúde da família, a fim de acompanhar a trajetória de consolidação da APS no contexto do Sistema Único de Saúde brasileiro.

Abstract This study aims to analyze the attributes of comprehensive Primary Health Care (PHC) based on the work of the family health teams focused on non-communicable chronic diseases. Qualitative research conducted from August 2018 to July 2019, in primary health care in Vitória da Conquista, Bahia, Brazil, with 40 health professionals, through interviews and focus groups. From the thematic analysis, the central themes were defined, corresponding to the seven attributes of comprehensive PHC. As a result, the potentials work of the family health teams was related to prioritizing access, the wide range of services offered and the recognition of the community and family reality. The study highlighted obstacles related to service provision, accessibility, coverage, care fragmentation and in information coordination, challenges in developing practices with the family, in practices ethnically situated, and continuity of care, notably for the rural context. It is expected that the results presented may confirm the need for investments and the institution of systematic evaluation processes regarding the work of family health teams, in order to follow the trajectory of PHC consolidation in the context of the Brazilian Unified Health System.Resumo: Este estudo tem como objetivo analisar os atributos da Atenção Primária à Saúde (APS) abrangente a partir da atuação das equipes de Saúde da Família com foco nas doenças crônicas não transmissíveis. Pesquisa qualitativa realizada entre agosto de 2018 a julho de 2019, na APS de Vitória da Conquista, Bahia, com 40 profissionais de saúde, por meio de grupos focais e entrevistas. A partir da análise temática, os temas centrais corresponderam aos sete atributos da APS abrangente. Como resultados, as potencialidades do trabalho das equipes relacionaram-se com a priorização do acesso, ao amplo leque de serviços oferecidos e o reconhecimento da realidade comunitária/familiar. Destacaram-se obstáculos relacionados a oferta, acessibilidade e cobertura dos serviços, fragmentação na coordenação assistencial e informacional, dificuldades de desenvolvimento de práticas inclusivas com a família e etnicamente situadas, bem como na continuidade da assistência, notadamente para o contexto rural. Espera-se que os resultados apresentados possam confirmar a necessidade de investimentos e a instituição de processos sistemáticos de avaliação do trabalho das equipes de saúde da família, a fim de acompanhar a trajetória de consolidação da APS no contexto do Sistema Único de Saúde brasileiro.

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OBJECTIVE: To compare the profile and prevalence of hospitalizations in Brazil based on estimates from the National Health Survey (PNS), 2013 and 2019. METHODS: A cross-sectional study that used data from the 2013 PNS and the 2019 PNS. The outcome was having been hospitalized for 24 hours or more in the last 12 months. We calculated the proportion of the population in different categories of age group, presence or absence of chronic diseases, and perception of health status. We estimated the total number of hospitalizations and the proportion corresponding to each category of age group, chronic disease, and perceived health status. We calculated the prevalence of hospitalization according to geographic, socioeconomic, and health conditions. We compared the estimates of two editions of the PNS using Student's t-test for independent samples. We considered significant differences when the p-value was less than 0.01. And finally, we compared hospitalization estimates with administrative data to assess data consistency. RESULTS: We observed that the proportion of chronically ill people in the population increased from 15.04% to 31.48%. This group was responsible for 36.76% of the total number of hospitalizations in 2013 and 57.61% in 2019. The prevalence of hospitalizations increased significantly between the two surveys and the increases were higher in the Southeast region and among people who have private health insurance. A discrepancy was found between administrative data and survey estimates. Obstetric hospitalizations and health insurance hospitalizations were underestimated. CONCLUSION: There was an increase in overall hospitalization rates in the period between the PNS 2013 and PNS 2019, especially among people with better access to health services. The hospitalization profile also changed-in the 2013 PNS, hospitalizations of people without chronic diseases predominated. This was reversed in PNS 2019.

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Studies evaluating the local quality of death certification in Brazil focused on completeness of death reporting or inappropriate coding of causes of death, with few investigating missing data. We aimed to use missing and unexpected values in core topics to assess the quality of death certification in Brazilian municipalities, to evaluate its correlation with the percentage of garbage codes, and to employ a data-driven approach with non-linear models to investigate the association of the socioeconomic and health infrastructure context with quality of death statistics among municipalities. This retrospective study used data from the Mortality Information System (2010-2017), and municipal data regarding healthcare infrastructure, socioeconomic characteristics, and death rates. Quality of death certification was assessed by missing or unexpected values in the following core topics: dates of occurrence, registration, and birth, place of occurrence, certifier, sex, and marital status. Models were fit to classify municipalities according to the quality of death certification (poor quality defined as death records with missing or unexpected values in core topics ≥ 80%). Municipalities with poor quality of death certification (43.9%) presented larger populations, lower death rates, lower socioeconomic index, healthcare infrastructure with fewer beds and physicians, and higher proportion of public healthcare facilities. The correlation coefficients between quality of death certification assessed by missing or unexpected values and the proportion of garbage codes were weak (0.11-0.49), but stronger for municipalities with lower socioeconomic scores. The model that best fitted the data was the random forest classifier (ROC AUC = 0.76; precision-recall AUC = 0.78). This innovative way of assessing the quality of death certification could help quality improvement initiatives to include the correctness of essential fields, in addition to garbage coding or completeness of records, especially in municipalities with lower socioeconomic status where garbage coding and the correctness of core topics appear to be related issues.

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ABSTRACT OBJECTIVE To compare the profile and prevalence of hospitalizations in Brazil based on estimates from the National Health Survey (PNS), 2013 and 2019. METHODS A cross-sectional study that used data from the 2013 PNS and the 2019 PNS. The outcome was having been hospitalized for 24 hours or more in the last 12 months. We calculated the proportion of the population in different categories of age group, presence or absence of chronic diseases, and perception of health status. We estimated the total number of hospitalizations and the proportion corresponding to each category of age group, chronic disease, and perceived health status. We calculated the prevalence of hospitalization according to geographic, socioeconomic, and health conditions. We compared the estimates of two editions of the PNS using Student's t-test for independent samples. We considered significant differences when the p-value was less than 0.01. And finally, we compared hospitalization estimates with administrative data to assess data consistency. RESULTS We observed that the proportion of chronically ill people in the population increased from 15.04% to 31.48%. This group was responsible for 36.76% of the total number of hospitalizations in 2013 and 57.61% in 2019. The prevalence of hospitalizations increased significantly between the two surveys and the increases were higher in the Southeast region and among people who have private health insurance. A discrepancy was found between administrative data and survey estimates. Obstetric hospitalizations and health insurance hospitalizations were underestimated. CONCLUSION There was an increase in overall hospitalization rates in the period between the PNS 2013 and PNS 2019, especially among people with better access to health services. The hospitalization profile also changed—in the 2013 PNS, hospitalizations of people without chronic diseases predominated. This was reversed in PNS 2019.

RESUMO OBJETIVO Comparar o perfil e a prevalência das hospitalizações no Brasil com base nas estimativas da Pesquisa Nacional de Saúde (PNS), 2013 e 2019. MÉTODOS Estudo transversal seriado que utilizou os dados das PNS 2013 e PNS 2019. O desfecho foi ter ficado internado por 24 horas ou mais nos últimos 12 meses. Calculamos a proporção da população nas diversas categorias de faixa etária, de presença ou ausência de doenças crônicas e de percepção do estado de saúde. Estimamos o número total de hospitalizações e a proporção correspondente a cada categoria de faixa etária, de doença crônica e de percepção do estado de saúde. Calculamos a prevalência de internação segundo fatores geográficos, socioeconômicos e condições de saúde. Comparamos as estimativas das duas edições da PNS utilizando o teste t de Student para amostras independentes. Consideramos as diferenças significativas quando o valor de p foi menor que 0,01. E finalmente comparamos as estimativas de hospitalização com os dados administrativos para avaliar a consistência dos dados. RESULTADOS Observamos que a proporção de doentes crônicos na população passou de 15,04% para 31,48%. Este grupo foi responsável por 36,76% do total de internações em 2013 e de 57,61% em 2019. A prevalência de hospitalizações aumentou significativamente entre os dois inquéritos e os incrementos foram maiores na região Sudeste e entre pessoas que possuem plano de saúde privado. Foi encontrada uma discrepância entre os dados administrativos e as estimativas dos inquéritos. As internações obstétricas e as internações por plano de saúde foram subestimadas. CONCLUSÃO Houve um aumento nas taxas globais de hospitalização no período compreendido entre as PNS 2013 e 2019, especialmente entre as pessoas com melhor acesso aos serviços de saúde. O perfil de hospitalização também mudou - na PNS 2013 predominaram internações de pessoas sem doenças crônicas. Isto se inverteu na PNS 2019.

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RESUMO Objetivo: Criar e validar um modelo de predição de choque séptico ou hipovolêmico a partir de variáveis de fácil obtenção coletadas na admissão de pacientes internados em uma unidade de terapia intensiva. Métodos: Estudo de modelagem preditiva com dados de coorte concorrente realizada em um hospital do interior do nordeste brasileiro. Foram incluídos pacientes com 18 anos ou mais sem uso de droga vasoativa no dia da admissão e que foram internados entre novembro de 2020 e julho de 2021. Foram testados os algoritmos de classificação do tipo Decision Tree, Random Forest, AdaBoost, Gradient Boosting e XGBoost para a construção do modelo. O método de validação utilizado foi o k-fold cross validation. As métricas de avaliação utilizadas foram recall, precisão e área sob a curva Receiver Operating Characteristic. Resultados: Foram utilizados 720 pacientes para criação e validação do modelo. Os modelos apresentaram alta capacidade preditiva com área sob a curva Receiver Operating Characteristic de 0,979; 0,999; 0,980; 0,998 e 1,00 para os algoritmos de Decision Tree, Random Forest, AdaBoost, Gradient Boosting e XGBoost, respectivamente. Conclusão: O modelo preditivo criado e validado apresentou elevada capacidade de predição do choque séptico e hipovolêmico desde o momento da admissão de pacientes na unidade de terapia intensiva.

ABSTRACT Objective: To create and validate a model for predicting septic or hypovolemic shock from easily obtainable variables collected from patients at admission to an intensive care unit. Methods: A predictive modeling study with concurrent cohort data was conducted in a hospital in the interior of northeastern Brazil. Patients aged 18 years or older who were not using vasoactive drugs on the day of admission and were hospitalized from November 2020 to July 2021 were included. The Decision Tree, Random Forest, AdaBoost, Gradient Boosting and XGBoost classification algorithms were tested for use in building the model. The validation method used was k-fold cross validation. The evaluation metrics used were recall, precision and area under the Receiver Operating Characteristic curve. Results: A total of 720 patients were used to create and validate the model. The models showed high predictive capacity with areas under the Receiver Operating Characteristic curve of 0.979; 0.999; 0.980; 0.998 and 1.00 for the Decision Tree, Random Forest, AdaBoost, Gradient Boosting and XGBoost algorithms, respectively. Conclusion: The predictive model created and validated showed a high ability to predict septic and hypovolemic shock from the time of admission of patients to the intensive care unit.

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Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is responsible for causing Coronavirus Disease-2019 (COVID-19), a heterogeneous clinical condition that manifests varying symptom severity according to the demographic profile of the studied population. While many studies have focused on the spread of COVID-19 in large urban centers in Brazil, few have evaluated medium or small cities in the Northeast region. The aims of this study were: (i) to identify risk factors for mortality from SARS-CoV-2 infection, (ii) to evaluate the gene expression patterns of key immune response pathways using nasopharyngeal swabs of COVID-19 patients, and (iii) to identify the circulating SARS-CoV-2 variants in the residents of a medium-sized city in Northeast Brazil. A total of 783 patients infected with SARS-CoV-2 between May 2020 and August 2021 were included in this study. Clinical-epidemiological data from patients who died and those who survived were compared. Patients were also retrospectively divided into three groups based on disease severity: asymptomatic, mild, and moderate/severe. Samples were added to a qPCR array for analyses of 84 genes involved with immune response pathways and sequenced using the Oxford Nanopore MinION technology. Having pre-existing comorbidity; being male; having cardiovascular disease, diabetes, and/or chronic obstructive pulmonary disease; and PCR cycle threshold (Ct) values under 22 were identified as risk factors for mortality. Analysis of the expression profiles of inflammatory pathway genes showed that the greater the infection severity, the greater the activation of inflammatory pathways, triggering the cytokine storm and downregulating anti-inflammatory pathways. Viral genome analysis revealed the circulation of multiple lineages, such as B.1, B.1.1.28, Alpha, and Gamma, suggesting that multiple introduction events had occurred over time. This study's findings help identify the specific strains and increase our understanding of the true state of local health. In addition, our data demonstrate that epidemiological and genomic surveillance together can help formulate public health strategies to guide governmental actions.

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Purpose: This study aims to assess self-care in patients with non-optimal diabetes management (HbA1c >7.0% for adults and >8.0 for those aged 60 or over) and the positive and negative experiences associated with it in the rural communities of a Brazilian municipality. Patient and Methods: This is a cross-sectional mixed-methods study. The data were collected from participants with high HbA1c through focus group discussions, subsequently performing thematic analysis, and through structured questionnaires (socioeconomic characteristics and the Summary of Diabetes Self-Care Activities (SDSCA)). Results: The mean HbA1c of the 156 study participants was 9.94% (95% confidence interval: 9.70-10.19%) and most participants (86.54%) had negative self-care behaviors, with an overall SDSCA mean score of 3.55. This mean was not positive for any of the socioeconomic characteristics. The self-care activities with the most satisfactory performance concerned non-smoking and the use of prescribed medications, and the poorest results were observed for the practice of specific physical activities. The qualitative data indicated that the study participants face many difficulties regarding self-care practices, especially those related to an adequate diet. Conclusion: The self-care assessment revealed unsatisfactory self-care behaviors as well as high HbA1c levels among the study participants and highlighted the various difficulties they encounter. This indicates the need for more attentive health teams to monitor patients, especially regarding actions focused on the non-pharmacological elements of self-care, such as lifestyle changes, which were found to be the dimensions with the most unsatisfactory results.

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BACKGROUND: Primary health care-oriented systems provide better healthcare, especially for chronic diseases. This study analyzed the perspectives of physicians and nurses performing care for patients with chronic diseases in Primary Health Care in a Brazilian city. METHODS: A qualitative study was conducted in Vitória da Conquista, Bahia, Brazil, using semi-structured interviews with five physicians and 18 nurses. The interview included questions from an analytical matrix based on three dimensions of healthcare practices: organizational, technical care, and biopsychosocial, following a deductive approach. The interviews were fully transcribed and analyzed using a thematic categorical approach. RESULTS: The results indicated that the provision of chronic care occurs in a comprehensive way. Potentialities were identified in the diversification of access, offer of care actions and technologies, integration of teamwork, and bringing together social networks to foster autonomy and self-care. Weaknesses were mostly related to the high number of people in the teams, follow-up of several cases, high turnover of support teams, low integration of Primary Health Care with other levels, difficulties in intersectoral articulation and family participation in care. CONCLUSION: The multidimensional assessment of health care practices aimed at individuals with chronic noncommunicable diseases was useful to portray the strengths and weaknesses of the services. It also ratifies the need to consider the importance of and investment in primary health care by offering the necessary technical, political, logistical and financial support to the units, to ensure the sustainability of the actions by nurses, doctors and entire team.

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OBJECTIVE: To create and validate a model for predicting septic or hypovolemic shock from easily obtainable variables collected from patients at admission to an intensive care unit. METHODS: A predictive modeling study with concurrent cohort data was conducted in a hospital in the interior of northeastern Brazil. Patients aged 18 years or older who were not using vasoactive drugs on the day of admission and were hospitalized from November 2020 to July 2021 were included. The Decision Tree, Random Forest, AdaBoost, Gradient Boosting and XGBoost classification algorithms were tested for use in building the model. The validation method used was k-fold cross validation. The evaluation metrics used were recall, precision and area under the Receiver Operating Characteristic curve. RESULTS: A total of 720 patients were used to create and validate the model. The models showed high predictive capacity with areas under the Receiver Operating Characteristic curve of 0.979; 0.999; 0.980; 0.998 and 1.00 for the Decision Tree, Random Forest, AdaBoost, Gradient Boosting and XGBoost algorithms, respectively. CONCLUSION: The predictive model created and validated showed a high ability to predict septic and hypovolemic shock from the time of admission of patients to the intensive care unit.

OBJETIVO: Criar e validar um modelo de predição de choque séptico ou hipovolêmico a partir de variáveis de fácil obtenção coletadas na admissão de pacientes internados em uma unidade de terapia intensiva. MÉTODOS: Estudo de modelagem preditiva com dados de coorte concorrente realizada em um hospital do interior do nordeste brasileiro. Foram incluídos pacientes com 18 anos ou mais sem uso de droga vasoativa no dia da admissão e que foram internados entre novembro de 2020 e julho de 2021. Foram testados os algoritmos de classificação do tipo Decision Tree, Random Forest, AdaBoost, Gradient Boosting e XGBoost para a construção do modelo. O método de validação utilizado foi o k-fold cross validation. As métricas de avaliação utilizadas foram recall, precisão e área sob a curva Receiver Operating Characteristic. RESULTADOS: Foram utilizados 720 pacientes para criação e validação do modelo. Os modelos apresentaram alta capacidade preditiva com área sob a curva Receiver Operating Characteristic de 0,979; 0,999; 0,980; 0,998 e 1,00 para os algoritmos de Decision Tree, Random Forest, AdaBoost, Gradient Boosting e XGBoost, respectivamente. CONCLUSÃO: O modelo preditivo criado e validado apresentou elevada capacidade de predição do choque séptico e hipovolêmico desde o momento da admissão de pacientes na unidade de terapia intensiva.

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