title: [Morbidity profile and hospital expenses with elderly patients in Paraná State, Brazil, 2008-2012].
abstract: Growth in the elderly population has increased both the demand for health services and healthcare expenses, with relevant consequences for economic stability. The current study aimed to analyze the morbidity profile and hospital expenses with elderly patients in relation to socioeconomic and demographic conditions in Paraná State, Brazil, from 2008 to 2012, applying principal components analysis and groupings. Regions with higher and lower economic and human development showed high prevalence of hospitalizations and costs pertaining to the circulatory and respiratory systems and cardiac diseases for males and females. In regions with intermediary development, diseases of the nervous system in men and of the circulatory system in women had the highest morbidity and hospital expenses. Thus, measures for prevention and health promotion in this elderly population should be targeted to regional investigations.
authors.affiliation: Universidade Norte do Paraná, Londrina, Brasil.
authors.forename: Clarice da Luz
authors.initials: Cda L
authors.lastname: Kernkamp
authors.affiliation: Universidade Estadual de Maringá, Maringá, Brasil.
authors.forename: Cassia Kely Favoretto
authors.initials: CK
authors.lastname: Costa
authors.affiliation: Centro de Ensino Superior de Maringá, Maringá, Brasil.
authors.forename: Ely Mitie
authors.initials: EM
authors.lastname: Massuda
authors.affiliation: Universidade Estadual de Maringá, Maringá, Brasil.
authors.forename: Eraldo Schunk
authors.initials: ES
authors.lastname: Silva
authors.affiliation: Centro de Ensino Superior de Maringá, Maringá, Brasil.
authors.forename: Mirian Ueda
authors.initials: MU
authors.lastname: Yamaguchi
authors.affiliation: Centro de Ensino Superior de Maringá, Maringá, Brasil.
authors.forename: Marcelo Picinin
authors.initials: MP
authors.lastname: Bernuci
mesh_terms: D000368:Aged; D001938:Brazil / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000191:economics / Q000453:epidemiology*; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D003710:Demography / Q000706:statistics & numerical data; D005260:Female; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006751:Hospital Information Systems / Q000706:statistics & numerical data; D006760:Hospitalization / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D009017:Morbidity / Q000639:trends; D025341:Principal Component Analysis / Q000379:methods; D012140:Respiratory Tract Diseases / Q000191:economics / Q000453:epidemiology*; D012189:Retrospective Studies; D017678:Sex Distribution; D012959:Socioeconomic Factors