Análise do impacto econômico da obesidade e suas consequentes doenças crônicas não transmissíveis (DCNT) no Sistema Único de Saúde

• Ano de defesa: 2022
• Autor(a) principal: Borba, Dalciomar Pimentel
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/26339/001300000759g
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Administração Pública; UFSM; Programa de Pós-Graduação em Administração Pública; Centro de Ciências Sociais e Humanas
• Palavras-chave em Português: Obesidade; Custos; Doenças crônicas não transmissíveis; Sistema Único de Saúde; Health Unic System; Obesity; Costs; Chronic non-communicable diseases; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO PUBLICA
• Link de acesso: http://repositorio.ufsm.br/handle/1/27204

Obesity today is considered an epidemic disease of great impact on the world stage, and recurrent in both developed and developing countries. Thus, considering that part of the world population is diagnosed with overweight or obesity, humanity is being ravaged by an obesity pandemic. Based on this context, the objective of the study was to estimate the evolution of hospital costs associated with hospitalizations under the diagnosis of obesity and its consequent chronic non-communicable diseases (NCDs) in hospitals linked to the Unified Health System in Capitals in Brazil. The specific objectives are: (a) To analyze the evolution of the prevalence of obesity in Brazil, also characterizing the capitals of Brazil as obesogenic environments; (b) Identify the main CNCD and ICD-10 associated with obesity; (c) To analyze hospital admissions of patients from the capitals of Brazil who were diagnosed with NCDs and ICD-10 associated with obesity; and (d) To analyze the cost to the SUS of obesity in Brazil, considering the cost of hospital admissions of patients from the capitals of Brazil who were diagnosed with NCDs and ICD-10 associated with obesity. The study was developed in three stages, which were interconnected so that the analysis and discussion of the results can interact and present consistent results. Step 1 was the characterization of the obesogenic environment in the capitals; step 2, the analysis of hospital admissions of patients in the Capitals; and step 3, the analysis of the costs of hospital admissions. In the analysis, descriptive statistical analysis was carried out, using values of sum, arithmetic mean and trend (R2), in addition to stratification according to the intervals of obesity status, following the WHO classification. The value of Trend and R2 were obtained using the functions: (1) [LINEST] for the linear projection of the data range; and (2) [RQUAD] for calculating the coefficient of determination of the data range. Quantitative data will also be analyzed from the perspective of time series using Excel software. The results pointed to an increase in the costs of obesity and related NCDs, suggesting that these diseases are increasing epidemically in Brazil. As expected impacts, we sought to generate the possibility of a better design of public policies, in order to better organize public spending, in order to outline public prevention policies, which could enhance a reduction in public spending related to obesity. and NCDs arising from this social problem.