Literature DB >> 19344200

Diabetes registries: where we are and where are we headed?

Leila Khan1, Scott Mincemoyer, Robert A Gabbay.   

Abstract

Disease registries are a searchable list of all patients with a particular chronic condition that often interface with an electronic medical record. The well-designed registry links all members of the patient's health team and provides key information for patients and physicians. The critical impact of a registry is that it can allow timely identification of high-risk subpopulations permitting the health care team to intensify treatment. Diabetes is a data-driven disease that lends itself well to registry use. This review will examine some current registry uses and highlight some of the respective challenges and benefits. This review compares key examples of registries in different health settings. These include a municipal registry (New York City), academic health centers (Penn State Milton S. Hershey Medical Center), third-party payers (Kaiser Permanente), the Veterans Affairs Health System, and international registries (the DIABCARE Q-NET in Europe and the National Diabetes Surveillance System in Canada). Different aspects are compared and contrasted such as the institutional plan for each and whether care in the "here and now" is impacted.

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Year:  2009        PMID: 19344200     DOI: 10.1089/dia.2008.0057

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


  11 in total

1.  Women with diabetes: understanding urinary incontinence and help seeking behavior.

Authors:  Ashmi M Doshi; Stephen K Van Den Eeden; Michelle Y Morrill; Michael Schembri; David H Thom; Jeanette S Brown
Journal:  J Urol       Date:  2010-08-19       Impact factor: 7.450

Review 2.  Role of health information technologies in the Patient-centered Medical Home.

Authors:  Jennifer L Kraschnewski; Robert A Gabbay
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

3.  Relationship between Depression and Treatment Satisfaction among Patients with Type 2 Diabetes.

Authors:  Jon Bassett; Alan Adelman; Robert Gabbay; Raquel M Aňel-Tiangco
Journal:  J Diabetes Metab       Date:  2012

4.  Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study.

Authors:  Stewart B Harris; Richard H Glazier; Jordan W Tompkins; Andrew S Wilton; Vijaya Chevendra; Moira A Stewart; Amardeep Thind
Journal:  BMC Health Serv Res       Date:  2010-12-23       Impact factor: 2.655

5.  Diabetes nurse case management and motivational interviewing for change (DYNAMIC): results of a 2-year randomized controlled pragmatic trial.

Authors:  Robert A Gabbay; Raquel M Añel-Tiangco; Cheryl Dellasega; David T Mauger; Alan Adelman; Deborah H A Van Horn
Journal:  J Diabetes       Date:  2013-05-28       Impact factor: 4.006

6.  Construction of a multisite DataLink using electronic health records for the identification, surveillance, prevention, and management of diabetes mellitus: the SUPREME-DM project.

Authors:  Gregory A Nichols; Jay Desai; Jennifer Elston Lafata; Jean M Lawrence; Patrick J O'Connor; Ram D Pathak; Marsha A Raebel; Robert J Reid; Joseph V Selby; Barbara G Silverman; John F Steiner; W F Stewart; Suma Vupputuri; Beth Waitzfelder
Journal:  Prev Chronic Dis       Date:  2012-06-07       Impact factor: 2.830

Review 7.  Patient-centered medical home and diabetes.

Authors:  Trajko Bojadzievski; Robert A Gabbay
Journal:  Diabetes Care       Date:  2011-04       Impact factor: 19.112

8.  Evidence-based approach for managing hypertension in type 2 diabetes.

Authors:  Gerti Tashko; Robert A Gabbay
Journal:  Integr Blood Press Control       Date:  2010-05-24

9.  Glycemic control and diabetes-related health care costs in type 2 diabetes; retrospective analysis based on clinical and administrative databases.

Authors:  Luca Degli Esposti; Stefania Saragoni; Stefano Buda; Alessandra Sturani; Ezio Degli Esposti
Journal:  Clinicoecon Outcomes Res       Date:  2013-05-14

10.  Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm.

Authors:  Anil N Makam; Oanh K Nguyen; Billy Moore; Ying Ma; Ruben Amarasingham
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-01       Impact factor: 2.796

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