Literature DB >> 19751279

Tracking diabetes: New York City's A1C Registry.

Shadi Chamany1, Lynn D Silver, Mary T Bassett, Cynthia R Driver, Diana K Berger, Charlotte E Neuhaus, Namrata Kumar, Thomas R Frieden.   

Abstract

CONTEXT: In December 2005, in characterizing diabetes as an epidemic, the New York City Board of Health mandated the laboratory reporting of hemoglobin A1C laboratory test results. This mandate established the United States' first population-based registry to track the level of blood sugar control in people with diabetes. But mandatory A1C reporting has provoked debate regarding the role of public health agencies in the control of noncommunicable diseases and, more specifically, both privacy and the doctor-patient relationship.
METHODS: This article reviews the rationale for adopting the rule requiring the reporting of A1C test results, experience with its implementation, and criticisms raised in the context of the history of public health practice.
FINDINGS: For many decades, public health agencies have used identifiable information collected through mandatory laboratory reporting to monitor the population's health and develop programs for the control of communicable and noncommunicable diseases. The registry program sends quarterly patient rosters stratified by A1C level to more than one thousand medical providers, and it also sends letters, on the provider's letterhead whenever possible, to patients at risk of diabetes complications (A1C level >9 percent), advising medical follow-up. The activities of the registry program are similar to those of programs for other reportable conditions and constitute a joint effort between a governmental public health agency and medical providers to improve patients' health outcomes.
CONCLUSIONS: Mandatory reporting has proven successful in helping combat other major epidemics. New York City's A1C Registry activities combine both traditional and novel public health approaches to reduce the burden of an epidemic chronic disease, diabetes. Despite criticism that mandatory reporting compromises individuals' right to privacy without clear benefit, the early feedback has been positive and suggests that the benefits will outweigh the potential harms. Further evaluation will provide additional information that other local health jurisdictions may use in designing their strategies to address chronic disease.

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Year:  2009        PMID: 19751279      PMCID: PMC2881457          DOI: 10.1111/j.1468-0009.2009.00568.x

Source DB:  PubMed          Journal:  Milbank Q        ISSN: 0887-378X            Impact factor:   4.911


  38 in total

1.  Lessons from the 1800s: tuberculosis control in the new millennium.

Authors:  T R Frieden; B H Lerner; B R Rutherford
Journal:  Lancet       Date:  2000-03-25       Impact factor: 79.321

2.  Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study.

Authors:  I M Stratton; A I Adler; H A Neil; D R Matthews; S E Manley; C A Cull; D Hadden; R C Turner; R R Holman
Journal:  BMJ       Date:  2000-08-12

3.  Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study.

Authors:  A I Adler; I M Stratton; H A Neil; J S Yudkin; D R Matthews; C A Cull; A D Wright; R C Turner; R R Holman
Journal:  BMJ       Date:  2000-08-12

4.  Improving primary care for patients with chronic illness.

Authors:  Thomas Bodenheimer; Edward H Wagner; Kevin Grumbach
Journal:  JAMA       Date:  2002-10-09       Impact factor: 56.272

5.  Asleep at the switch: local public health and chronic disease.

Authors:  Thomas R Frieden
Journal:  Am J Public Health       Date:  2004-12       Impact factor: 9.308

6.  The Vermont Diabetes Information System (VDIS): study design and subject recruitment for a cluster randomized trial of a decision support system in a regional sample of primary care practices.

Authors:  Charles D MacLean; Benjamin Littenberg; Michael Gagnon; Mimi Reardon; Paul D Turner; Cy Jordan
Journal:  Clin Trials       Date:  2004       Impact factor: 2.486

7.  A meta-analysis of interventions to improve care for chronic illnesses.

Authors:  Alexander C Tsai; Sally C Morton; Carol M Mangione; Emmett B Keeler
Journal:  Am J Manag Care       Date:  2005-08       Impact factor: 2.229

8.  Improving primary care for patients with chronic illness: the chronic care model, Part 2.

Authors:  Thomas Bodenheimer; Edward H Wagner; Kevin Grumbach
Journal:  JAMA       Date:  2002-10-16       Impact factor: 56.272

9.  The National Diabetes Register in Sweden: an implementation of the St. Vincent Declaration for Quality Improvement in Diabetes Care.

Authors:  Soffia Gudbjörnsdottir; Jan Cederholm; Peter M Nilsson; Björn Eliasson
Journal:  Diabetes Care       Date:  2003-04       Impact factor: 19.112

10.  Longitudinal assessment of a diabetes care management system in an integrated health network.

Authors:  David L Larsen; Wayne Cannon; Steven Towner
Journal:  J Manag Care Pharm       Date:  2003 Nov-Dec
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  34 in total

1.  The Hub Population Health System: distributed ad hoc queries and alerts.

Authors:  Michael D Buck; Sheila Anane; John Taverna; Sam Amirfar; Remle Stubbs-Dame; Jesse Singer
Journal:  J Am Med Inform Assoc       Date:  2011-11-09       Impact factor: 4.497

2.  A comparison of phenotype definitions for diabetes mellitus.

Authors:  Rachel L Richesson; Shelley A Rusincovitch; Douglas Wixted; Bryan C Batch; Mark N Feinglos; Marie Lynn Miranda; W Ed Hammond; Robert M Califf; Susan E Spratt
Journal:  J Am Med Inform Assoc       Date:  2013-09-11       Impact factor: 4.497

3.  Shifting the paradigm: using HIV surveillance data as a foundation for improving HIV care and preventing HIV infection.

Authors:  Patricia Sweeney; Lytt I Gardner; Kate Buchacz; Pamela Morse Garland; Michael J Mugavero; Jeffrey T Bosshart; R Luke Shouse; Jeanne Bertolli
Journal:  Milbank Q       Date:  2013-07-08       Impact factor: 4.911

4.  Commentary: Public health and health care quality assurance--strange bedfellows?

Authors:  Jonathan E Fielding
Journal:  Milbank Q       Date:  2009-09       Impact factor: 4.911

5.  Commentary: A legal perspective on diabetes surveillance--privacy and the police power.

Authors:  Michelle M Mello; Lawrence O Gostin
Journal:  Milbank Q       Date:  2009-09       Impact factor: 4.911

6.  Commentary: Beyond historical precedent.

Authors:  Amy L Fairchild
Journal:  Milbank Q       Date:  2009-09       Impact factor: 4.911

7.  Baseline characteristics and Latino versus non-Latino contrasts among Bronx A1C study participants.

Authors:  Elizabeth A Walker; Lynn D Silver; Shadi Chamany; Clyde B Schechter; Jeffrey S Gonzalez; Jeidy Carrasco; Danielle Powell; Diana Berger; Charles E Basch
Journal:  West J Nurs Res       Date:  2014-01-09       Impact factor: 1.967

8.  Assessing the Reliability of Performing Citywide Chronic Disease Surveillance Using Emergency Department Data from Sentinel Hospitals.

Authors:  David C Lee; Jordan L Swartz; Christian A Koziatek; Andrew J Vinson; Jessica K Athens; Stella S Yi
Journal:  Popul Health Manag       Date:  2017-03-24       Impact factor: 2.459

9.  Evaluating the Use of Electronic Health Records for Type 2 Diabetes Surveillance in 2 California Counties, 2010-2014.

Authors:  Maxwell J Richardson; Stephen K Van Den Eeden; Eric Roberts; Assiamira Ferrara; Susan Paulukonis; Paul English
Journal:  Public Health Rep       Date:  2017-06-06       Impact factor: 2.792

10.  Impact of a Telephonic Intervention to Improve Diabetes Control on Health Care Utilization and Cost for Adults in South Bronx, New York.

Authors:  Bahman P Tabaei; Renata E Howland; Jeffrey S Gonzalez; Shadi Chamany; Elizabeth A Walker; Clyde B Schechter; Winfred Y Wu
Journal:  Diabetes Care       Date:  2020-03-04       Impact factor: 19.112

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