Development and evaluation of a Web-based tool to estimate type 2 diabetes risk: Diab_Alert.
Identifieur interne : 000871 ( Ncbi/Checkpoint ); précédent : 000870; suivant : 000872Development and evaluation of a Web-based tool to estimate type 2 diabetes risk: Diab_Alert.
Auteurs : Mario Barreda-Pérez [Espagne] ; Isabel De La Torre ; Miguel L Pez-Coronado ; Joel J P C. Rodrigues ; Teresa García De La IglesiaSource :
- Telemedicine journal and e-health : the official journal of the American Telemedicine Association [ 1556-3669 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- diagnosis : Prediabetic State.
- methods : Risk Assessment.
- prevention & control : Diabetes Mellitus, Type 2.
- Adult, Aged, Female, Humans, Internet, Language, Male, Middle Aged, Predictive Value of Tests, Surveys and Questionnaires, User-Computer Interface.
Abstract
Diabetes and its complications are major causes of morbidity and mortality around the world. This article presents a new multilingual, mobile-compatible Web-based tool to estimate the risk of suffering from type 2 diabetes (Diab_Alert) after the individual answers a brief questionnaire. The rationale for building the tool is to raise the public awareness of diabetes and its consequences. People should be concerned about the fact that this disease can be prevented even in cases of prediabetes, when medication is crucial to avoid the emergence of diabetes. The application shows a message with the global risk for each user and encloses with it a graph that shows the probability of suffering from diabetes in the next 10 years, which other tools do not illustrate. This way, people at high risk can ask for advice from their physician and get basal glucose tests done more often.
DOI: 10.1089/tmj.2012.0110
PubMed: 23336735
Affiliations:
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pubmed:23336735Le document en format XML
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<term>Diabetes Mellitus, Type 2 (prevention & control)</term>
<term>Female</term>
<term>Humans</term>
<term>Internet</term>
<term>Language</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Prediabetic State (diagnosis)</term>
<term>Predictive Value of Tests</term>
<term>Risk Assessment (methods)</term>
<term>Surveys and Questionnaires</term>
<term>User-Computer Interface</term>
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<term>Adulte d'âge moyen</term>
<term>Diabète de type 2 ()</term>
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<term>Femelle</term>
<term>Humains</term>
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<term>Internet</term>
<term>Langage</term>
<term>Mâle</term>
<term>Sujet âgé</term>
<term>Valeur prédictive des tests</term>
<term>État prédiabétique (diagnostic)</term>
<term>Évaluation des risques ()</term>
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<term>Humans</term>
<term>Internet</term>
<term>Language</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Predictive Value of Tests</term>
<term>Surveys and Questionnaires</term>
<term>User-Computer Interface</term>
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<term>Enquêtes et questionnaires</term>
<term>Femelle</term>
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<term>Interface utilisateur</term>
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<term>Langage</term>
<term>Mâle</term>
<term>Sujet âgé</term>
<term>Valeur prédictive des tests</term>
<term>Évaluation des risques</term>
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<front><div type="abstract" xml:lang="en">Diabetes and its complications are major causes of morbidity and mortality around the world. This article presents a new multilingual, mobile-compatible Web-based tool to estimate the risk of suffering from type 2 diabetes (Diab_Alert) after the individual answers a brief questionnaire. The rationale for building the tool is to raise the public awareness of diabetes and its consequences. People should be concerned about the fact that this disease can be prevented even in cases of prediabetes, when medication is crucial to avoid the emergence of diabetes. The application shows a message with the global risk for each user and encloses with it a graph that shows the probability of suffering from diabetes in the next 10 years, which other tools do not illustrate. This way, people at high risk can ask for advice from their physician and get basal glucose tests done more often.</div>
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