Integrated health service delivery networks and tuberculosis avoidable hospitalizations: is there a relation between them in Brazil?

• Published in: BMC health services research Vol. 16; no. 79; p. 78
• Main Authors: Popolin, Marcela Paschoal, Touso, Michelle Mosna, Yamamura, Mellina, Rodrigues, Ludmila Barbosa Bandeira, da Cunha Garcia, Maria Concebida, Arroyo, Luiz Henrique, Ramos, Antônio Carlos Vieira, Berra, Thais Zamboni, Santos Neto, Marcelino, de Almeida Crispim, Juliane, Chiaravalotti Neto, Francisco, Pinto, Ione Carvalho, Palha, Pedro Fredemir, da Costa Uchoa, Severina Alice, Lapão, Luís Velez, Fronteira, Inês, Arcêncio, Ricardo Alexandre
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01-03-2016; BioMed Central
• Subjects: Bayes Theorem; Brazil - epidemiology; Care and treatment; Complications and side effects; Delivery of Health Care, Integrated - organization & administration; Female; Geographic information systems; Health services; Health Surveys; Hospitalization; Humans; Male; Patients; Population; Practice Guidelines as Topic; Prevention; Primary care; Primary health care; Primary Health Care - organization & administration; Quality of Health Care - organization & administration; Tuberculosis; Tuberculosis - diagnosis; Tuberculosis - epidemiology; Tuberculosis - prevention & control; Brazil
• DOI: 10.1186/s12913-016-1320-y
• EISSN: 1472-6963

The early identification of the Breathing Symptoms within the scope of Primary Health Care is recommended, and is also one of the strategies of national sanitary authorities for reaching the elimination of tuberculosis. The purpose of this study is to consider which attributes and which territories have shown the most significant progress in Primary Health Care, in terms of coordination of Health Care Networks, and also check if those areas of Primary Health Care that are most critical regarding coordination, there were more or less cases of avoidable hospitalizations for tuberculosis.
This is an ecological study that uses primary and secondary data. For analysis, coropletic maps were developed through the ArcGIS software, version 10.2. There was also the calculation of gross annual and Bayesian rates for hospitalizations for tuberculosis, for each Primary Health Care territory.
There were satisfactory results for attributes such as Population (n = 37; 80.4 %), Primary Health Care (n = 43; 93.5 %), Support System (n = 45; 97.8 %); the exceptions were Logistics System (n = 32; 76.0 %) and Governance System, with fewer units in good condition (n = 31; 67.3 %). There is no evidence of any connection between networks' coordination by Primary Health Care and tuberculosis avoidable admissions.
The results show that progress has been made regarding the coordination of the Health Care Networks, and a positive trend has been shown, even though the levels are not excellent. It was found no relationship between the critical areas of Primary Health Care and tuberculosis avoidable hospitalizations, possibly because other variables necessary to comprehend the phenomena.