An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)

The Diabetes Indicators and Data Sources Internet Tool (DIDIT) is an interactive Web-based resource with information on 38 diabetes indicators (e.g., diabetes-associated complications, care, lifestyle) and 12 associated data sources frequently used by state diabetes prevention and control programs....

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Autores principales: Mukhtar, Qaiser, Brody, Erica R, Mehta, Prachi, Camponeschi, Jenny, Clark, Cynthia K, Desai, Jay, Friedrichs, Michael, Kemple, Angela M, Krapfl, Heidi R, Ralls, Brenda, Sekhobo, Jackson P
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2005
Materias:
Tools and Techniques
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1364523/
https://www.ncbi.nlm.nih.gov/pubmed/15963316
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author Mukhtar, Qaiser
Brody, Erica R
Mehta, Prachi
Camponeschi, Jenny
Clark, Cynthia K
Desai, Jay
Friedrichs, Michael
Kemple, Angela M
Krapfl, Heidi R
Ralls, Brenda
Sekhobo, Jackson P
author_facet Mukhtar, Qaiser
Brody, Erica R
Mehta, Prachi
Camponeschi, Jenny
Clark, Cynthia K
Desai, Jay
Friedrichs, Michael
Kemple, Angela M
Krapfl, Heidi R
Ralls, Brenda
Sekhobo, Jackson P
author_sort Mukhtar, Qaiser
collection PubMed
description The Diabetes Indicators and Data Sources Internet Tool (DIDIT) is an interactive Web-based resource with information on 38 diabetes indicators (e.g., diabetes-associated complications, care, lifestyle) and 12 associated data sources frequently used by state diabetes prevention and control programs. This tool is designed to strengthen the ability of states to conduct diabetes surveillance and to promote consistency in defining and tracking indicators across states. In this way, the DIDIT supports one of the 10 essential public health services: the timely and accurate assessment of public health. In addition to serving as a central repository of information on diabetes surveillance, the DIDIT also allows users to share experiences of using these indicators and data sources in their diabetes surveillance activities, data analysis, and tracking of diabetes-related objectives stated by Healthy People 2010. The DIDIT is an innovative approach to enhancing public health surveillance at the state and national levels.
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spelling pubmed-13645232006-02-28 An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT) Mukhtar, Qaiser Brody, Erica R Mehta, Prachi Camponeschi, Jenny Clark, Cynthia K Desai, Jay Friedrichs, Michael Kemple, Angela M Krapfl, Heidi R Ralls, Brenda Sekhobo, Jackson P Prev Chronic Dis Tools and Techniques The Diabetes Indicators and Data Sources Internet Tool (DIDIT) is an interactive Web-based resource with information on 38 diabetes indicators (e.g., diabetes-associated complications, care, lifestyle) and 12 associated data sources frequently used by state diabetes prevention and control programs. This tool is designed to strengthen the ability of states to conduct diabetes surveillance and to promote consistency in defining and tracking indicators across states. In this way, the DIDIT supports one of the 10 essential public health services: the timely and accurate assessment of public health. In addition to serving as a central repository of information on diabetes surveillance, the DIDIT also allows users to share experiences of using these indicators and data sources in their diabetes surveillance activities, data analysis, and tracking of diabetes-related objectives stated by Healthy People 2010. The DIDIT is an innovative approach to enhancing public health surveillance at the state and national levels. Centers for Disease Control and Prevention 2005-06-15 /pmc/articles/PMC1364523/ /pubmed/15963316 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Tools and Techniques
Mukhtar, Qaiser
Brody, Erica R
Mehta, Prachi
Camponeschi, Jenny
Clark, Cynthia K
Desai, Jay
Friedrichs, Michael
Kemple, Angela M
Krapfl, Heidi R
Ralls, Brenda
Sekhobo, Jackson P
An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title_full An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title_fullStr An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title_full_unstemmed An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title_short An Innovative Approach to Enhancing the Surveillance Capacity of State-based Diabetes Prevention and Control Programs: The Diabetes Indicators and Data Sources Internet Tool (DIDIT)
title_sort innovative approach to enhancing the surveillance capacity of state-based diabetes prevention and control programs: the diabetes indicators and data sources internet tool (didit)
topic Tools and Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1364523/
https://www.ncbi.nlm.nih.gov/pubmed/15963316
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