Literature DB >> 21722563

Data standards in diabetes patient registries.

Rachel L Richesson1.   

Abstract

Widespread adoption of electronic health records (EHRs) and expansion of patient registries present opportunities to improve patient care and population health and advance translational research. However, optimal integration of patient registries with EHR functions and aggregation of regional registries to support national or global analyses will require the use of standards. Currently, there are no standards for patient registries and no content standards for health care data collection or clinical research, including diabetes research. Data standards can facilitate new registry development by supporting reuse of well-defined data elements and data collection systems, and they can enable data aggregation for future research and discovery. This article introduces standardization topics relevant to diabetes patient registries, addresses issues related to the quality and use of registries and their integration with primary EHR data collection systems, and proposes strategies for implementation of data standards in diabetes research and management.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 21722563      PMCID: PMC3192614          DOI: 10.1177/193229681100500302

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  39 in total

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Authors:  C P Cannon; A Battler; R G Brindis; J L Cox; S G Ellis; N R Every; J T Flaherty; R A Harrington; H M Krumholz; M L Simoons; F J Van De Werf; W S Weintraub; K R Mitchell; S L Morrisson; R G Brindis; H V Anderson; D S Cannom; W R Chitwood; J E Cigarroa; R L Collins-Nakai; S G Ellis; R J Gibbons; F L Grover; P A Heidenreich; B K Khandheria; S B Knoebel; H L Krumholz; D J Malenka; D B Mark; C R Mckay; E R Passamani; M J Radford; R N Riner; J B Schwartz; R E Shaw; R J Shemin; D B Van Fossen; E D Verrier; M W Watkins; D R Phoubandith; T Furnelli
Journal:  J Am Coll Cardiol       Date:  2001-12       Impact factor: 24.094

2.  Data standards in clinical research: gaps, overlaps, challenges and future directions.

Authors:  Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

Review 3.  A review of the challenge in measuring hemoglobin A1c.

Authors:  Cas Weykamp; W Garry John; Andrea Mosca
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

Review 4.  Registry evaluation methods: a review and case study.

Authors:  J Goldberg; H M Gelfand; P S Levy
Journal:  Epidemiol Rev       Date:  1980       Impact factor: 6.222

5.  A randomized trial of three diabetes registry implementation strategies in a community internal medicine practice.

Authors:  Robert J Stroebel; Sidna M Scheitel; John S Fitz; Ruth A Herman; James M Naessens; Christopher G Scott; David A Zill; Lisa Muller
Journal:  Jt Comm J Qual Improv       Date:  2002-08

Review 6.  District diabetes registers: more trouble than they're worth?

Authors:  G J Elwyn; N J Vaughan; N C Stott
Journal:  Diabet Med       Date:  1998-11       Impact factor: 4.359

7.  Diabetes information technology: designing informatics systems to catalyze change in clinical care.

Authors:  William T Lester; Adrian H Zai; Henry C Chueh; Richard W Grant
Journal:  J Diabetes Sci Technol       Date:  2008-03

8.  Variation in the recording of diabetes diagnostic data in primary care computer systems: implications for the quality of care.

Authors:  Wendy Rollason; Kamlesh Khunti; Simon de Lusignan
Journal:  Inform Prim Care       Date:  2009

9.  Electronic medical records and diabetes quality of care: results from a sample of family medicine practices.

Authors:  Jesse C Crosson; Pamela A Ohman-Strickland; Karissa A Hahn; Barbara DiCicco-Bloom; Eric Shaw; A John Orzano; Benjamin F Crabtree
Journal:  Ann Fam Med       Date:  2007 May-Jun       Impact factor: 5.166

10.  The development and deployment of Common Data Elements for tissue banks for translational research in cancer - an emerging standard based approach for the Mesothelioma Virtual Tissue Bank.

Authors:  Sambit K Mohanty; Amita T Mistry; Waqas Amin; Anil V Parwani; Andrew K Pople; Linda Schmandt; Sharon B Winters; Erin Milliken; Paula Kim; Nancy B Whelan; Ghada Farhat; Jonathan Melamed; Emanuela Taioli; Rajiv Dhir; Harvey I Pass; Michael J Becich
Journal:  BMC Cancer       Date:  2008-04-08       Impact factor: 4.430

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  6 in total

1.  Identifying diabetes cases in health administrative databases: a validation study based on a large French cohort.

Authors:  Sonsoles Fuentes; Emmanuel Cosson; Laurence Mandereau-Bruno; Anne Fagot-Campagna; Pascale Bernillon; Marcel Goldberg; Sandrine Fosse-Edorh
Journal:  Int J Public Health       Date:  2018-12-04       Impact factor: 3.380

Review 2.  Electronic health records and the evolution of diabetes care: a narrative review.

Authors:  Vishal Patel; Mary E Reed; Richard W Grant
Journal:  J Diabetes Sci Technol       Date:  2015-02-23

3.  Diabetes and asthma case identification, validation, and representativeness when using electronic health data to construct registries for comparative effectiveness and epidemiologic research.

Authors:  Jay R Desai; Pingsheng Wu; Greg A Nichols; Tracy A Lieu; Patrick J O'Connor
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

4.  The NIH Office of Rare Diseases Research patient registry Standard: a report from the University of New Mexico's Oculopharyngeal Muscular Dystrophy Patient Registry.

Authors:  Shamsi Daneshvari; Sarah Youssof; Philip J Kroth
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

5.  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 6.  Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review.

Authors:  Bijan Najafi; Ramkinker Mishra
Journal:  Medicina (Kaunas)       Date:  2021-04-14       Impact factor: 2.430

  6 in total

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