Projeto de implementação do Programa Academia da Cidade no bairro Sagrada Família em Belo Horizonte

Abstract

The City Academy Program (CAP) is one of the promotion activities developed by the Secretary in Belo Horizonte Municipal Health System / BH in which it has managed to achieve major advances in population health by working well as the prevention of future injuries and not only with the treatment of disease and nurture the population to experience physical activity in appropriate locations, providing individuals improve quality of life, contributing in daily city the possibility of healthier living habits by practicing regular exercise, guided by qualified professionals. The objective is do a project to implement a CAP unit in square Marco Antônio de Menezes at Holy Family Neighborhood, Belo Horizonte using the PES project design simplification We are critical: the need for local construction; architectural design; bidding qualified staff and disclosure of the program and operations of critical resources and feasibility analysis are: political decision to use the plaza as earthly construction of the academy; an architect with knowledge to make an on-site survey and preparation of an architectural project with budget proposal for construction of the facility; funding for the work, qualified professionals to do the bidding of a company; have company in the market qualified and interested in bidding the work; qualified to follow up the work; qualified staff willing to work in the market at the gym; accession of the target population of the area covered by the CAP. The methodology of project planning PAC at Professional Technical Reference Program, student of specialization, facilitated and guided the work. The use of this methodology has proven effective for the preparation of this project, from the analysis of the actors involved, identification, description, explanation and resolution of problems, making the design and operations plan of action, follow-up actions. Thus, making it possible to develop the project with a margin of error reduced to the maximum and thus greater chance of success.