Literature DB >> 19361252

The economic costs of undiagnosed diabetes.

Yiduo Zhang1, Timothy M Dall, Sarah E Mann, Yaozhu Chen, Jaana Martin, Victoria Moore, Alan Baldwin, Viviana A Reidel, William W Quick.   

Abstract

The objective is to estimate the national economic costs associated with undiagnosed diabetes mellitus (UDM). UDM is defined as unknowingly having an elevated glucose level that meets the definition of diabetes. National Health and Nutrition Examination Survey (NHANES) data are used to estimate the prevalence of UDM. Because UDM cannot be directly observed in medical claims for analyzing per capita patterns of health care use, we analyze annual medical claims from a proxy population--people within 2 years of first diagnosis of diabetes. For a commercially insured population first diagnosed with diabetes in 2006 (n = 29,770), we compare their annual health care use in 2004 and 2005 to that of patients with no history of diabetes between 2004 and 2006 (n = 3.2 million). We combine estimates of UDM prevalence from NHANES with health care use patterns from the proxy population to estimate etiological fractions that reflect the portion of national health care use associated with UDM. Approximately 6.3 million adults in the United States have UDM in 2007. Annual per capita use of health care services for the UDM proxy population is higher than for a comparable group with no history of diabetes, but lower than for a comparable group with a history of diabetes. The estimated economic costs of UDM in 2007 is $18 billion ($2864 per person with UDM), including medical costs of $11 billion and indirect costs of $7 billion. Although the high prevalence of UDM makes it an important health issue to be studied, data limitations have contributed to a dearth of information on the health care use patterns and economic costs of UDM. By omitting UDM, estimates of the total national cost of diabetes are underestimated.

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Year:  2009        PMID: 19361252     DOI: 10.1089/pop.2009.12202

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  29 in total

1.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

2.  Potential national and state medical care savings from primary disease prevention.

Authors:  Barbara A Ormond; Brenda C Spillman; Timothy A Waidmann; Kyle J Caswell; Bogdan Tereshchenko
Journal:  Am J Public Health       Date:  2010-11-18       Impact factor: 9.308

3.  Heart disease and stroke statistics--2011 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Robert J Adams; Jarett D Berry; Todd M Brown; Mercedes R Carnethon; Shifan Dai; Giovanni de Simone; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Kurt J Greenlund; Susan M Hailpern; John A Heit; P Michael Ho; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Mary M McDermott; James B Meigs; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Wayne D Rosamond; Paul D Sorlie; Randall S Stafford; Tanya N Turan; Melanie B Turner; Nathan D Wong; Judith Wylie-Rosett
Journal:  Circulation       Date:  2010-12-15       Impact factor: 29.690

Review 4.  Computational intelligence in early diabetes diagnosis: a review.

Authors:  Devang Odedra; Subir Samanta; Ambarish S Vidyarthi
Journal:  Rev Diabet Stud       Date:  2011-02-10

Review 5.  Heart disease and stroke statistics--2013 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; David Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Graham Nichol; Nina P Paynter; Pamela J Schreiner; Paul D Sorlie; Joel Stein; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2012-12-12       Impact factor: 29.690

6.  Physicians' perceptions of reimbursement as a barrier to comprehensive diabetes care.

Authors:  Alyssa Pozniak; Lois Olinger; Victoria Shier
Journal:  Am Health Drug Benefits       Date:  2010-01

7.  Java-based diabetes type 2 prediction tool for better diagnosis.

Authors:  Devang Odedra; Medhavi Mallick; Prateek Shukla; Subir Samanta; Ambarish S Vidyarthi
Journal:  Diabetes Technol Ther       Date:  2011-11-07       Impact factor: 6.118

8.  Prediabetes, undiagnosed diabetes, and diabetes among Mexican adults: findings from the Mexican Health and Aging Study.

Authors:  Amit Kumar; Rebeca Wong; Kenneth J Ottenbacher; Soham Al Snih
Journal:  Ann Epidemiol       Date:  2016-01-12       Impact factor: 3.797

9.  Preventable health and cost burden of adverse birth outcomes associated with pregestational diabetes in the United States.

Authors:  Cora Peterson; Scott D Grosse; Rui Li; Andrea J Sharma; Hilda Razzaghi; William H Herman; Suzanne M Gilboa
Journal:  Am J Obstet Gynecol       Date:  2014-10-28       Impact factor: 8.661

10.  Glycated haemoglobin A1c for diagnosing diabetes in Chinese population: cross sectional epidemiological survey.

Authors:  Yuqian Bao; Xiaojing Ma; Huating Li; Mi Zhou; Cheng Hu; Haiya Wu; Junling Tang; Xuhong Hou; Kunsan Xiang; Weiping Jia
Journal:  BMJ       Date:  2010-05-17
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