Estadísticas de salud, el reto de la buena información.
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| Title: | Estadísticas de salud, el reto de la buena información. |
|---|---|
| Alternate Title: | Health statistics, the challenge of the good information. |
| Authors: | Calvo Roy, Antonio1 calvoroy@gmail.com |
| Source: | Revista Española de Comunicación en Salud. 2014, Vol. 5 Issue 1, p20-23. 4p. |
| Subjects: | HEALTH, SERIAL publications, STATISTICS, INFORMATION resources |
| Abstract (English): | Health Communication should be more carefully than other types of communication, because it affects to the most sensible part of each person, our own life. That's the reason why those who work in this field should be careful. We have not learned the uncertainty and, in general, we don't know how to understand statistics, and in the health field there are more probabilities than certainties. This is why behind each health message, we can find numbers. The data in health information is abundant, and this is why it's essential to have a broad knowledge on how to interpret statistics. We don't need to say that a study confirms, rejects or supports a hypothesis, it's needed to have more study data, to know if they are right or not, to be able as information professionals to differentiate between what is good to what is bad, the good source from the bad one. To explore both the text and the context helps to avoid the most common mistakes, and also how not to trust the preliminary information and to judge what goes against common sense. For example, than an animal is considered a human being in scientific research. A cell is never a patient. [ABSTRACT FROM AUTHOR] |
| Abstract (Spanish): | La comunicación sobre salud debe tener en cuenta más cautelas que otros tipos de comunicación, porque afecta a lo más sensible de cada uno, su propia vida. Por eso quienes se dediquen a ella tienen que tener en cuentas ciertas cautelas. No hemos aprendido las de la incertidumbre y, en general, no sabemos interpretar las estadísticas, y en el ámbito de la salud hay más probabilidades que certezas. Por eso, detrás de cada mensaje de salud hay -o debería haber-, números. La presencia de los datos en las informaciones de salud es abrumadora, y por eso resulta básico tener un buen conocimiento sobre cómo interpretar las estadísticas. No basta decir que un estudio afirma, niega o apoya tal hipótesis, es necesario tener más datos del estudio, saber si es o no es fiable, ser capaces, como profesionales de la información, de discernir lo bueno de lo malo, la fuente fiable de la intrascendente. Atender al texto y al contexto ayuda a evitar los errores más comunes, así como no fiarse de las informaciones preliminares y poner en tela de juicio lo que atente contra el sentido común. Por ejemplo, que un animal es un humano a efectos de investigación. Una célula nunca es un paciente. [ABSTRACT FROM AUTHOR] |
| Copyright of Revista Española de Comunicación en Salud is the property of Asociacion Espanola de Comunicacion Sanitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | MedicLatina |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: lth DbLabel: MedicLatina An: 96434799 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Estadísticas de salud, el reto de la buena información. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Health statistics, the challenge of the good information. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Calvo+Roy%2C+Antonio%22">Calvo Roy, Antonio</searchLink><relatesTo>1</relatesTo><i> calvoroy@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Revista+Española+de+Comunicación+en+Salud%22">Revista Española de Comunicación en Salud</searchLink>. 2014, Vol. 5 Issue 1, p20-23. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22HEALTH%22">HEALTH</searchLink><br /><searchLink fieldCode="DE" term="%22SERIAL+publications%22">SERIAL publications</searchLink><br /><searchLink fieldCode="DE" term="%22STATISTICS%22">STATISTICS</searchLink><br /><searchLink fieldCode="DE" term="%22INFORMATION+resources%22">INFORMATION resources</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: Health Communication should be more carefully than other types of communication, because it affects to the most sensible part of each person, our own life. That's the reason why those who work in this field should be careful. We have not learned the uncertainty and, in general, we don't know how to understand statistics, and in the health field there are more probabilities than certainties. This is why behind each health message, we can find numbers. The data in health information is abundant, and this is why it's essential to have a broad knowledge on how to interpret statistics. We don't need to say that a study confirms, rejects or supports a hypothesis, it's needed to have more study data, to know if they are right or not, to be able as information professionals to differentiate between what is good to what is bad, the good source from the bad one. To explore both the text and the context helps to avoid the most common mistakes, and also how not to trust the preliminary information and to judge what goes against common sense. For example, than an animal is considered a human being in scientific research. A cell is never a patient. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Spanish) Group: Ab Data: La comunicación sobre salud debe tener en cuenta más cautelas que otros tipos de comunicación, porque afecta a lo más sensible de cada uno, su propia vida. Por eso quienes se dediquen a ella tienen que tener en cuentas ciertas cautelas. No hemos aprendido las de la incertidumbre y, en general, no sabemos interpretar las estadísticas, y en el ámbito de la salud hay más probabilidades que certezas. Por eso, detrás de cada mensaje de salud hay -o debería haber-, números. La presencia de los datos en las informaciones de salud es abrumadora, y por eso resulta básico tener un buen conocimiento sobre cómo interpretar las estadísticas. No basta decir que un estudio afirma, niega o apoya tal hipótesis, es necesario tener más datos del estudio, saber si es o no es fiable, ser capaces, como profesionales de la información, de discernir lo bueno de lo malo, la fuente fiable de la intrascendente. Atender al texto y al contexto ayuda a evitar los errores más comunes, así como no fiarse de las informaciones preliminares y poner en tela de juicio lo que atente contra el sentido común. Por ejemplo, que un animal es un humano a efectos de investigación. Una célula nunca es un paciente. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Revista Española de Comunicación en Salud is the property of Asociacion Espanola de Comunicacion Sanitaria and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: spa Text: Spanish PhysicalDescription: Pagination: PageCount: 4 StartPage: 20 Subjects: – SubjectFull: HEALTH Type: general – SubjectFull: SERIAL publications Type: general – SubjectFull: STATISTICS Type: general – SubjectFull: INFORMATION resources Type: general Titles: – TitleFull: Estadísticas de salud, el reto de la buena información. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Calvo Roy, Antonio IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 19899882 Numbering: – Type: volume Value: 5 – Type: issue Value: 1 Titles: – TitleFull: Revista Española de Comunicación en Salud Type: main |
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