TY - DATA T1 - Region and Networks: multidimensional and multilevel approaches to analyze the health regionalization process in Brazil PY - 2017/12/20 AU - Ana Luiza d'Ávila Viana AU - Aylene Bousquat AU - Maria Paula Ferreira AU - Maria Alice Bezerra Cutrim AU - Liza Yurie Teruya Uchimura AU - Edgar Rodrigues Fusaro AU - Miriam Regina de Souza AU - Paulo Henrique dos Santos Mota AU - Ana Paula Chancharulo de Morais Pereira AU - Fabíola Lana Iozzi AU - Mariana Vercesi de Albuquerque UR - https://scielo.figshare.com/articles/dataset/Region_and_Networks_multidimensional_and_multilevel_approaches_to_analyze_the_health_regionalization_process_in_Brazil/5720839 DO - 10.6084/m9.figshare.5720839.v1 L4 - https://ndownloader.figshare.com/files/35744566 L4 - https://ndownloader.figshare.com/files/35744569 KW - Regionalization KW - Health Policy KW - Health systems N2 - Abstract Objectives: to present a methodology used by the Policy, Planning and Region Management research and the Health Care Networks in Brazil - the Regions and Networks research. Methods: description of the analytical scheme in the process of choosing health regions and criteria to select cities and health units, instruments for collecting primary and secondary data and the indicators database, besides the regional typology elaborated for data analysis. Results: the analytical scheme is based on the health policy analysis; policy, structure and organization were defined as the macro dimensions. For each one of these, sub-dimensions were defined. The questionnaire was elaborated by variables that were possible to analyze the regionalization process determinants. Five health regions were selected from the previously defined criteria. Conclusions: the method allowed to establish attributes in the regionalization, constructed by specific components - integration, coordination and regulation. The multilevel approach was important because it portrayed different perceptions from the stakeholder managers and providers according to their bonds in the city, regional and state scenarios. ER -