Primary health care sensitive conditions and health care networks: the case of tuberculosis in Ribeirão Preto - SP

• Grant number: 12/51235-5
• Support Opportunities: Research Grants - Research in Public Policies for the National Health Care System (PP-SUS)
• Start date: July 01, 2013
• End date: June 30, 2015
• Field of knowledge: Health Sciences - Nursing - Public Health Nursing
• Agreement: CNPq - PPSUS
• Principal Investigator: Ricardo Alexandre Arcêncio
• Grantee: Ricardo Alexandre Arcêncio
• Host Institution: Escola de Enfermagem de Ribeirão Preto (EERP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

The aim in this study is to analyze the behavior of avoidable hospitalizations due to TB in relation to social indicators and the ability of Primary Health Care (PHC) to work in Health Care Networks. The design is characterized as an ecological study, which applies spatial analysis techniques to TB hospitalization data. The research will use data from the Hospital Information System, apply questionnaires to Primary Health Care teams and obtain information from the Information Database per census sector in the urban area of Ribeirão Preto - Demographic Census 2010. The social insertion indicators will be constructed through Main Component Analysis. The ecological unit considered for the research will be the coverage area or territory of PHC. The coverage areas will be categorized according to the population's social class (high, middle and low) and PHC's ability to structure the HCNs, corresponding to level 1, inability to coordinate the health care networks; level 2, basic ability to coordinate the networks, 3, good ability to coordinate the networks and 4, excellent ability for this purpose. Hospitalizations due to TB will be subject to spatial analysis and correlated with the ability of PHC to operate HCNs and social class in the coverage areas. Ward's method of hierarchical cluster analysis will be applied, as well as the construction of maps to analyze the spatial distribution of TB hospitalizations. Autocorrelation coefficients of Moran and Kemell Estimation can contribute to these analyses. Also, multiple correspondence analysis will be applied. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PIERI, FLAVIA MENEGUETTI; TOUSO, MICHELLE MOSNA; BANDEIRA RODRIGUES, LUDMILA BARBOSA; YAMAMURA, MELLINA; PINTO, IONE CARVALHO; DESSUNTI, ELMA MATHIAS; CRISPIM, JULIANE DE ALMEIDA; VIEIRA RAMOS, ANTONIO CARLOS; ARROYO, LUIZ HENRIQUE; NETO, MARCELINO SANTOS; et al. Patients' Perceptions on the Performance of a Local Health System to Eliminate Leprosy, Parana State, Brazil. PLoS Neglected Tropical Diseases, v. 8, n. 11, NOV 2014. (12/51235-5)

POPOLIN, MARCELA PASCHOAL; TOUSO, MICHELLE MOSNA; YAMAMURA, MELLINA; BANDEIRA RODRIGUES, LUDMILA BARBOSA; DA CUNHA GARCIA, MARIA CONCEBIDA; ARROYO, LUIZ HENRIQUE; VIEIRA RAMOS, ANTONIO CARLOS; BERRA, THAIS ZAMBONI; NETO, MARCELINO SANTOS; CRISPIM, JULIANE DE ALMEIDA; et al. Integrated health service delivery networks and tuberculosis avoidable hospitalizations: is there a relation between them in Brazil?. BMC HEALTH SERVICES RESEARCH, v. 16, MAR 1 2016. (13/22486-2, 12/51235-5)