Literature DB >> 17037973

Diabetes information systems: a rapidly emerging support for diabetes surveillance and care.

Grace Joshy1, David Simmons.   

Abstract

BACKGROUND: With the rapid advances in information technology in the last decade, various diabetes information systems have evolved in different parts of the world. Availability of new technologies and information systems for monitoring and treating diabetes is critical to achieving recommended metabolic control, including glycosylated hemoglobin levels. The first step is to develop a registry, including a patient identifier that can link multiple data sources, which can then serve as a springboard to electronic mechanisms for practitioners to gain information on performance and results.
OBJECTIVE: The aim is to review the provisions for diabetes surveillance in different parts of the world. This is a systematic review of national and regional information systems for diabetes surveillance. LITERATURE REVIEW: A comprehensive review was undertaken using Medline literature review, internet search using the Google search engine, and e-mail consultation with opinion leaders. TOPICS REVIEW: National/regional-level diabetes surveillance systems in Europe, the United States, Australia/New Zealand, and Asia have been reviewed. State-of-the-art diabetes information systems linking multiple data sources, with extensive audit and feedback capabilities, have also been looked at.
RESULTS: National/regional-level audit databases have been tabulated. Diabetes information systems linking multiple data sources have been described. Most of the developed countries have now implemented systems such as diabetes registers and audits for diabetes surveillance in at least some regions, if not nationally. Developing nations are beginning to recognize the need for chronic disease management.
CONCLUSIONS: With the advancements in information technology, the diabetes registers have the potential to rise beyond their traditional functions with dynamic data integration, decision support, and data access, as demonstrated by some diabetes information systems. With the rapid pace of development in electronic health records and health information systems, countries that are beginning to build their health information technology infrastructure could benefit from planning and funding along these lines.

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Mesh:

Year:  2006        PMID: 17037973     DOI: 10.1089/dia.2006.8.587

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  6 in total

Review 1.  Review of electronic decision-support tools for diabetes care: a viable option for low- and middle-income countries?

Authors:  Mohammed K Ali; Seema Shah; Nikhil Tandon
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

2.  Assessing generalisability through the use of disease registers: findings from a diabetes cohort study.

Authors:  Michael David; Robert Ware; Maria Donald; Rosa Alati
Journal:  BMJ Open       Date:  2011-08-27       Impact factor: 2.692

Review 3.  Impact of Information Technology-Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis.

Authors:  Nouf Sahal Alharbi; Nada Alsubki; Simon Jones; Kamlesh Khunti; Neil Munro; Simon de Lusignan
Journal:  J Med Internet Res       Date:  2016-11-25       Impact factor: 5.428

Review 4.  Effectiveness of IT-based diabetes management interventions: a review of the literature.

Authors:  Beth M Costa; Kristine J Fitzgerald; Kay M Jones; Trisha Dunning Am
Journal:  BMC Fam Pract       Date:  2009-11-17       Impact factor: 2.497

5.  CARRS Surveillance study: design and methods to assess burdens from multiple perspectives.

Authors:  Manisha Nair; Mohammed K Ali; Vamadevan S Ajay; Roopa Shivashankar; Viswanathan Mohan; Rajendra Pradeepa; Mohan Deepa; Hassan M Khan; Muhammad M Kadir; Zafar A Fatmi; K Srinath Reddy; Nikhil Tandon; K M Venkat Narayan; Dorairaj Prabhakaran
Journal:  BMC Public Health       Date:  2012-08-28       Impact factor: 3.295

6.  Exploring the feasibility of combining chronic disease patient registry data to monitor the status of diabetes care.

Authors:  Angela M Kemple; Noelle Hartwick; Marilyn H Sitaker; Jeanne J Harmon; Kathleen Clark; Jan Norman
Journal:  Prev Chronic Dis       Date:  2008-09-15       Impact factor: 2.830

  6 in total

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