Resumo O objetivo deste artigo é avaliar o desempenho da APS sob a perspectiva dos usuários e sua associação com as características sociodemográficas, condições de saúde autorreferidas e fatores de risco comportamentais para Doenças Crônicas Não Transmissíveis. Estudo transversal de base populacional, com dados do Inquérito Telefônico Vigitel 2015. Utilizou-se o “Primary Care Assessment Tool” versão reduzida. A população do estudo são adultos maiores de 18 anos que utilizaram os serviços da APS em Belo Horizonte nos últimos 12 meses (n = 872). Realizado o modelo de regressão logística múltipla para estimar o odds ratio. Observa-se que adultos sem plano de saúde têm 3,21 (IC95% 2,08-4,96) mais chances do que com plano de saúde de avaliarem a APS com alto escore (≥ 6,6), bem como adultos com baixa escolaridade tem 2,81 (IC95% 1,48-5,32) mais chances, os diabéticos têm 1,84 (IC95% 1,05-3,24) mais chances, os obesos tem 1,97 (IC95% 1,20-3,24) mais chances e os idosos tem 1,19 (IC95% 1,00-1,41) chances de reportar alto escore para a qualidade da APS do que os demais. A utilização do PCATool na versão reduzida em inquérito telefônico, mostrou-se nova possibilidade de avaliação do desempenho da APS e pode se tornar útil na gestão dos serviços de saúde.
Health (and its dialectical pair—illness) is determined by multiple factors: social class, educational background, income, occupation, and race/skin color. Racism can directly impact physical and psychological illnesses, with an effect on social conditions of health. This paper discusses: (1) racism as a root cause of health inequities in Brazil and elsewhere, and (2) how students at the University of Brasilia School of Medicine respond to an anti-racist curriculum. We emphasize that an environment of profound exchanges in the teaching–learning process, adopting anti-racism praxis as a competency in the medical curriculum, is a paradigm shift in medical education and future practice.
Objective: to describe the first choice for use of health services and to analyze sociodemographic factors associated with seeking Primary Health Care (PHC) by the adult population of Brazil's Federal District in 2015. Methods: this was a population-based study, with 2,007 individuals, using a sample from the 2015 VIGITEL survey conducted by landline telephone, including questions on use of health services; we used logistic regression to identify factors associated with seeking PHC services. Results: participants' first choice was predominantly for private health services (57.6%), respondents reported seeking public health services less (39.5%), particularly PHC services (primary health centers: 24.6%); multivariate analysis showed that educational level (postgraduate [OR=0.15-95% CI 0.04;0.59] and high school [OR=0.37-95%CI 0.18;0.75]), and not having private health insurance (OR=27.77-95%CI 10.61;72.70) were variables associated with seeking PHC services. Conclusion: individuals with low educational level and without private health insurance are those who mostly seek PHC services as their first choice in Brazil's Federal District.
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