OBJECTIVE: to estimate and discuss selected indicators of Primary Health Care (PHC) structure in Brazil in 2012. METHODS: a descriptive ecological study was carried out using Primary Health Care Centre census data from the National Program for Access and Quality Improvement in Primary Care (PMAQ-AB); potential coverage indicators were estimated for infrastructure, health team composition and services available. RESULTS: the results revealed high coverage (≥70%) in Brazil for Community Health Agents (87.6%), teams providing care 5 days or more a week (71.4%), in 2 or more daily periods (70%), with nursing care services (70.9%) and dressing changes (70.4%); on the other hand, coverage is still poor (≤30%) for teams in health centres with adequate external signage (25.4%), delivering care at the weekend (28.4%) and reception of service users by health professionals (10.4%). CONCLUSION: the findings of this study point to the great inequalities between Brazilian states in potential coverage as shown by APS structure indicators.
OBJECTIVE: to estimate and discuss selected indicators of Primary Health Care (PHC) structure in Brazil in 2012. METHODS: a descriptive ecological study was carried out using Primary Health Care Centre census data from the National Program for Access and Quality Improvement in Primary Care (PMAQ-AB); potential coverage indicators were estimated for infrastructure, health team composition and services available. RESULTS: the results revealed high coverage (≥70%) in Brazil for Community Health Agents (87.6%), teams providing care 5 days or more a week (71.4%), in 2 or more daily periods (70%), with nursing care services (70.9%) and dressing changes (70.4%); on the other hand, coverage is still poor (≤30%) for teams in health centres with adequate external signage (25.4%), delivering care at the weekend (28.4%) and reception of service users by health professionals (10.4%). CONCLUSION: the findings of this study point to the great inequalities between Brazilian states in potential coverage as shown by APS structure indicators.
Authors: Anya Pimentel Gomes Fernandes Vieira-Meyer; Ana Patrícia Pereira Morais; José Maria Ximenes Guimarães; Isabella Lima Barbosa Campelo; Neiva Francenely Cunha Vieira; Maria de Fátima Antero Sousa Machado; Paula Sacha Frota Nogueira; Sharmênia de Araújo Soares Nuto; Roberto Wagner Júnior Freire de Freitas Journal: Rev Saude Publica Date: 2020-06-10 Impact factor: 2.106
Authors: Rosimery Cruz de Oliveira Dantas; João Paulo Teixeira da Silva; Davidson Cruz de Oliveira Dantas; Ângelo Giuseppe Roncalli Journal: Einstein (Sao Paulo) Date: 2018-09-21
Authors: Kelly Cristina Gomes Alves; Rafael Alves Guimarães; Marta Rovery de Souza; Otaliba Libânio de Morais Neto Journal: BMC Health Serv Res Date: 2019-11-29 Impact factor: 2.655