| Título: | A framework to analyse gender bias in epidemiological research |
| Autores: |
Ruiz Cantero, María Teresa Vives Cases, Carmen Artazcoz, Lucía Delgado, Ana García Calvente, María del Mar Miqueo, Consuelo Montero Piñar, María Isabel Ortiz Moncada, Rocío Ronda Pérez, Elena Ruiz Pérez, Isabel Valls, Carme |
| Fecha: |
2008-02-15 2008-02-15 2007 2007-12 |
| Publicador: | RUA Docencia |
| Fuente: |
 |
| Tipo: | info:eu-repo/semantics/article |
| Tema: |
Gender bias Epidemiology Framework Medicina Preventiva y Salud Pública |
| Descripción: |
The design and analysis of research may cause systematic gender dependent errors to be produced in results because of gender insensitivity or androcentrism. Gender bias in research could be defined as a systematically erroneous gender dependent approach related to social construct, which incorrectly regards women and men as similar/different. Most gender bias can be found in the context of discovery (development of hypotheses), but it has also been found in the context of justification (methodological process), which must be
improved. In fact, one of the main effects of gender bias in research is partial or incorrect knowledge in the results, which are systematically different from the real values.This paper
discusses some forms of conceptual and methodological bias that may affect women’s health. It proposes a framework to analyse gender bias in the design and analysis of research carried out on women’s and men’s health problems, and on specific women’s health issues.Using examples, the framework aims to show the different theoretical perspectives in a social or clinical research context where forms of selection, measurement
and confounding bias are produced as a result of gender insensitivity. Finally, this paper underlines the importance of re-examining results so that they may be reinterpreted to produce new gender based knowledge. Spanish Research Network on Health and Gender (RISG) |
| Idioma: | Inglés |
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