Literature DB >> 16386102

Critical features for a successful implementation of a diabetes registry.

Robert A Gabbay1, Leila Khan, Kevin L Peterson.   

Abstract

Numerous studies indicate a gap between evidence-based recommendations for care and clinical outcomes. Barriers reported by physicians include inefficiencies in data gathering. Information technology provides a potent solution to this problem. Diabetes registries are increasingly being utilized as a critical feature for population-based disease management. As an increasing number of organizations realize the need to choose among a plethora of different diabetes registry systems, we seek to identify important features in successful programs and address several of the critical features essential to an effective diabetes registry. A diabetes registry can be used to target high-risk patients, send reminders to patients, and provide physicians with feedback on their care, all important aspects of an optimal diabetes registry that can lead to significant improvements in clinical outcomes. As the healthcare system moves toward wider adoption of diabetes registries, key features of diabetes registry use are discussed.

Entities:  

Mesh:

Year:  2005        PMID: 16386102     DOI: 10.1089/dia.2005.7.958

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


  16 in total

Review 1.  The Sardinian way to type 1 diabetes.

Authors:  Marco Songini; Cira Lombardo
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  A public health approach to the diabetes epidemic: New York City's diabetes registry.

Authors:  Mary Ann Banerji; Robyn B Stewart
Journal:  Curr Diab Rep       Date:  2006-06       Impact factor: 4.810

3.  Lessons from implementing a combined workflow-informatics system for diabetes management.

Authors:  Adrian H Zai; Richard W Grant; Greg Estey; William T Lester; Carl T Andrews; Ronnie Yee; Elizabeth Mort; Henry C Chueh
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

4.  CEDRIC: a computerized chronic disease management system for urban, safety net clinics.

Authors:  Omolola Ogunyemi; Sukrit Mukherjee; Chizobam Ani; David Hindman; Sheba George; Ramarao Ilapakurthi; Mary Verma; Melvin Dayrit
Journal:  Stud Health Technol Inform       Date:  2010

5.  Barriers and facilitators for the implementation of health condition and outcome registry systems: a systematic literature review.

Authors:  Mina Lazem; Abbas Sheikhtaheri
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

6.  Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics.

Authors:  Norman McFadden; Bryan Daniel; Robert Hoyt; Dallas Snider
Journal:  Perspect Health Inf Manag       Date:  2017-01-01

7.  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

8.  Diabetes and obesity: a challenge for every ophthalmologist.

Authors:  Thomas W Gardner; Robert A Gabbay
Journal:  Arch Ophthalmol       Date:  2009-03

9.  Diabetes nurse case management and motivational interviewing for change (DYNAMIC): study design and baseline characteristics in the Chronic Care Model for type 2 diabetes.

Authors:  Heather L Stuckey; Cheryl Dellasega; Nora J Graber; David T Mauger; Irina Lendel; Robert A Gabbay
Journal:  Contemp Clin Trials       Date:  2009-03-26       Impact factor: 2.226

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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