Title |
Regionalização em Saúde no Amazonas: avanços e desafios
|
---|---|
Published in |
Ciência & Saúde Coletiva, April 2017
|
DOI | 10.1590/1413-81232017224.27082016 |
Pubmed ID | |
Authors |
Luiza Garnelo, Amandia Braga Lima Sousa, Clayton de Oliveira da Silva |
Abstract |
This paper analyses the health services regionalization process in the State of Amazonas through a case study covering the health sub-region Manaus Surroundings. This is a qualitative, descriptive and analytical research, which data were collected using interviews, documents and Internet reviews, oriented by the guiding concept of health regionalization. Study findings revealed a social setting dominated by asymmetry, verticality, competitiveness and fragile multilateral relations among municipalities, associated to a bureaucratic profile of local institutions operating in the region under study. The political agents have limited acknowledgement of the sociopolitical and institutional conditions in which they operate. They usually impute healthcare networks' management and operational issues to the natural and geographical characteristics of the Amazon region, but their financing, governance and technical capacity are insufficient to overcome them. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 80 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 19% |
Professor | 6 | 8% |
Student > Bachelor | 6 | 8% |
Researcher | 4 | 5% |
Student > Ph. D. Student | 4 | 5% |
Other | 7 | 9% |
Unknown | 38 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 19% |
Nursing and Health Professions | 8 | 10% |
Economics, Econometrics and Finance | 4 | 5% |
Social Sciences | 4 | 5% |
Immunology and Microbiology | 3 | 4% |
Other | 7 | 9% |
Unknown | 39 | 49% |