Avaliação da qualidade da formação: contribuição à discussão na área da saúde coletiva

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Visando contribuir com a discussão da implantação e implementação de mecanismos de avaliação de qualidade da formação na área da saúde coletiva, são abordadas neste artigo as principais características de processos de avaliação educacional a partir de alguns autores que tomam por base o conceito de qualidade. Entende-se ser necessária a criação de instrumentos de avaliação em todos os níveis da educação e que os instrumentos de avaliação das instituições de ensino devam ser calcados em princípios determinados pelos setores e representações pertinentes.

Translated abstract

Aiming at contributing to the discussion of the set up and implementation of quality education evaluation procedures in the collective health area, based on authors that discuss the concept of quality, the main characteristics of educational evaluation process are presented in this paper. It is understood that is necessary to build evaluation tools in all educational levels and that these tools, arising from educational institutions, should be developed by principles decided by appropriate actors.

Related collections

Most cited references 10

Record: found
Abstract: not found
Article: not found

Anais

S. CAVICHIOLLO, E Carvalho-Netto, J Melo-Ferreira … (2000)

0 comments Cited 253 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Public health surveillance of diabetes in the United States.

Qaiser Mukhtar, Linda S. Geiss, Stephanie Benjamin … (2003)

The Centers for Disease Control and Prevention Division of Diabetes Translation supports a national and state surveillance system that analyzes, interprets, and reports on diabetes risk behaviors, risk factors, care practices, morbidity, and mortality. Data sources include surveys, the U.S. Renal Data System, the Indian Health Service, information on hospital inpatients, birth and death certificates, and special studies to use and to better understand the usefulness of data from managed care, Medicare, and Medicaid for monitoring diabetes. These data are used to define the magnitude and burden of diabetes; monitor changes in burden over time; guide public health planning and policy making, and assess progress toward diabetes objectives, such as those in Healthy People 2010. Challenges facing the diabetes surveillance system are limitations in data sources; the capture of undiagnosed diabetes; tracking key risk factors, such as levels of glycemia and lipids; and surveillance of high- or emerging-risk populations such as racial and ethnic groups, children and youth, and those with prediabetes. Limited resources, competing priorities, and issues of data privacy also challenge surveillance. To overcome these factors, the Division of Diabetes Translation strongly emphasizes partnering with other organizations, such as the Medicare and Medicaid programs, managed care, and other chronic disease programs.