Literature DB >> 20042558

Analysis of guidelines for screening diabetes mellitus in an ambulatory population.

Ann M Sheehy1, Grace E Flood, Wen-Jan Tuan, Jinn-ing Liou, Douglas B Coursin, Maureen A Smith.   

Abstract

OBJECTIVES: To compare the case-finding ability of current national guidelines for screening diabetes mellitus and characterize factors that affect testing practices in an ambulatory population. PATIENTS AND METHODS: In this retrospective analysis, we reviewed a database of 46,991 nondiabetic patients aged 20 years and older who were seen at a large Midwestern academic physician practice from January 1, 2005, through December 31, 2007. Patients were included in the sample if they were currently being treated by the physician group according to Wisconsin Collaborative for Healthcare Quality criteria. Pregnant patients, diabetic patients, and patients who died during the study years were excluded. The prevalence of patients who met the American Diabetes Association (ADA) and/or US Preventive Services Task Force (USPSTF) criteria for diabetes screening, percentage of these patients screened, and number of new diabetes diagnoses per guideline were evaluated. Screening rates were assessed by number of high-risk factors, primary care specialty, and insurance status.
RESULTS: A total of 33,823 (72.0%) of 46,991 patients met either the ADA or the USPSTF screening criteria, and 28,842 (85.3%) of the eligible patients were tested. More patients met the ADA criteria than the 2008 USPSTF criteria (30,790 [65.5%] vs 12,054 [25.6%]), and the 2008 USPSTF guidelines resulted in 460 fewer diagnoses of diabetes (33.1%). By single high-risk factor, prediabetes (15.8%) and polycystic ovarian syndrome (12.6%) produced the highest rates of diagnosis. The number of ADA high-risk factors predicted diabetes, with 6 (23%) of 26 patients with 6 risk factors diagnosed as having diabetes. Uninsured patients were tested significantly less often than insured patients (54.9% vs 85.4%).
CONCLUSION: Compared with the ADA recommendations, the new USPSTF guidelines result in a lower number of patients eligible for screening and decrease case finding significantly. The number and type of risk factors predict diabetes, and lack of health insurance decreases testing.

Entities:  

Mesh:

Year:  2010        PMID: 20042558      PMCID: PMC2800288          DOI: 10.4065/mcp.2009.0289

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  27 in total

1.  Wisconsin Collaborative for Healthcare Quality (WCHQ): lessons learned.

Authors:  M Ammar Hatahet; Jack Bowhan; Elizabeth A Clough
Journal:  WMJ       Date:  2004

2.  Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health And Nutrition Examination Survey 1999-2002.

Authors:  Catherine C Cowie; Keith F Rust; Danita D Byrd-Holt; Mark S Eberhardt; Katherine M Flegal; Michael M Engelgau; Sharon H Saydah; Desmond E Williams; Linda S Geiss; Edward W Gregg
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

3.  Impact of recent increase in incidence on future diabetes burden: U.S., 2005-2050.

Authors:  K M Venkat Narayan; James P Boyle; Linda S Geiss; Jinan B Saaddine; Theodore J Thompson
Journal:  Diabetes Care       Date:  2006-09       Impact factor: 19.112

4.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

5.  The U.S. Preventive Services Task Force Guide to Clinical Preventive Services, Second Edition. AMA Council on Scientific Affairs.

Authors:  T P Houston; A B Elster; R M Davis; S D Deitchman
Journal:  Am J Prev Med       Date:  1998-05       Impact factor: 5.043

6.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

7.  Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.

Authors: 
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8.  Accuracy of ICD-9-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes.

Authors:  L B Goldstein
Journal:  Stroke       Date:  1998-08       Impact factor: 7.914

9.  Validating administrative data in stroke research.

Authors:  David L Tirschwell; W T Longstreth
Journal:  Stroke       Date:  2002-10       Impact factor: 7.914

10.  Onset of NIDDM occurs at least 4-7 yr before clinical diagnosis.

Authors:  M I Harris; R Klein; T A Welborn; M W Knuiman
Journal:  Diabetes Care       Date:  1992-07       Impact factor: 19.112

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  27 in total

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2.  Building a diabetes screening population data repository using electronic medical records.

Authors:  Wen-Jan Tuan; Ann M Sheehy; Maureen A Smith
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

3.  Multilevel Variation in Diabetes Screening Within an Integrated Health System.

Authors:  Udoka Obinwa; Adriana Pérez; Ildiko Lingvay; Luigi Meneghini; Ethan A Halm; Michael E Bowen
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4.  Rationale and study design of the MyHEART study: A young adult hypertension self-management randomized controlled trial.

Authors:  Heather M Johnson; Lisa Sullivan-Vedder; KyungMann Kim; Patrick E McBride; Maureen A Smith; Jamie N LaMantia; Jennifer T Fink; Megan R Knutson Sinaise; Laura M Zeller; Diane R Lauver
Journal:  Contemp Clin Trials       Date:  2019-01-21       Impact factor: 2.226

5.  Performance of a Random Glucose Case-Finding Strategy to Detect Undiagnosed Diabetes.

Authors:  Michael E Bowen; Lei Xuan; Ildiko Lingvay; Ethan A Halm
Journal:  Am J Prev Med       Date:  2017-03-06       Impact factor: 5.043

6.  Primary care team communication networks, team climate, quality of care, and medical costs for patients with diabetes: A cross-sectional study.

Authors:  Marlon P Mundt; Filip Agneessens; Wen-Jan Tuan; Larissa I Zakletskaia; Sandra A Kamnetz; Valerie J Gilchrist
Journal:  Int J Nurs Stud       Date:  2016-02-08       Impact factor: 5.837

7.  Reconsidering the age thresholds for type II diabetes screening in the U.S.

Authors:  Sukyung Chung; Kristen M J Azar; Marshall Baek; Diane S Lauderdale; Latha P Palaniappan
Journal:  Am J Prev Med       Date:  2014-08-15       Impact factor: 5.043

8.  Predictors of primary care provider adoption of CT colonography for colorectal cancer screening.

Authors:  Jennifer M Weiss; David H Kim; Maureen A Smith; Aaron Potvien; Jessica R Schumacher; Ronald E Gangnon; B Dustin Pooler; Patrick R Pfau; Perry J Pickhardt
Journal:  Abdom Radiol (NY)       Date:  2017-04

9.  Diagnosis and treatment of incident hypertension among patients with diabetes: a U.S. multi-disciplinary group practice observational study.

Authors:  Margaret L Wallace; Elizabeth M Magnan; Carolyn T Thorpe; Jessica R Schumacher; Maureen A Smith; Heather M Johnson
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10.  Predictors of colorectal cancer screening variation among primary-care providers and clinics.

Authors:  Jennifer M Weiss; Maureen A Smith; Perry J Pickhardt; Sally A Kraft; Grace E Flood; David H Kim; Elizabeth Strutz; Patrick R Pfau
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