Literature DB >> 32444454

Health Care Costs Associated With Macrovascular, Microvascular, and Metabolic Complications of Type 2 Diabetes Across Time: Estimates From a Population-Based Cohort of More Than 0.8 Million Individuals With Up to 15 Years of Follow-up.

Hsuan-Ying Chen1, Shihchen Kuo2, Pei-Fang Su3, Jin-Shang Wu4,5,6, Huang-Tz Ou7,8,9.   

Abstract

OBJECTIVE: Developing country-specific unit-cost catalogs is a key area for advancing economic research to improve medical and policy decisions. However, little is known about how health care costs vary by type 2 diabetes (T2D) complications across time in Asian countries. We sought to quantify the economic burden of various T2D complications in Taiwan. RESEARCH DESIGN AND METHODS: A nationwide, population-based, longitudinal study was conducted to analyze 802,429 adults with newly diagnosed T2D identified during 1999-2010 and followed up until death or 31 December 2013. Annual health care costs associated with T2D complications were estimated, with multivariable generalized estimating equation models adjusted for individual characteristics.
RESULTS: The mean annual health care cost was $281 and $298 (2017 U.S. dollars) for a male and female, respectively, diagnosed with T2D at age <50 years, with diabetes duration of <5 years, and without comorbidities, antidiabetic treatments, and complications. Depression was the costliest comorbidity, increasing costs by 64-82%. Antidiabetic treatments increased costs by 72-126%. For nonfatal complications, costs increased from 36% (retinopathy) to 202% (stroke) in the event year and from 13% (retinopathy or neuropathy) to 49% (heart failure) in subsequent years. Costs for the five leading costly nonfatal subtype complications increased by 201-599% (end-stage renal disease with dialysis), 37-376% (hemorrhagic/ischemic stroke), and 13-279% (upper-/lower-extremity amputation). For fatal complications, costs increased by 1,784-2,001% and 1,285-1,584% for cardiovascular and other-cause deaths, respectively.
CONCLUSIONS: The cost estimates from this study are crucial for parameterizing diabetes economic simulation models to quantify the economic impact of clinical outcomes and determine cost-effective interventions.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32444454      PMCID: PMC7372047          DOI: 10.2337/dc20-0072

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  42 in total

1.  Accuracy of diabetes diagnosis in health insurance claims data in Taiwan.

Authors:  Cheng-Ching Lin; Mei-Shu Lai; Ci-Yong Syu; Shuan-Chuan Chang; Fen-Yu Tseng
Journal:  J Formos Med Assoc       Date:  2005-03       Impact factor: 3.282

Review 2.  Methods applied in cost-effectiveness models for treatment strategies in type 2 diabetes mellitus and their use in Health Technology Assessments: a systematic review of the literature from 2008 to 2013.

Authors:  M Charokopou; F J Sabater; R Townsend; M Roudaut; P McEwan; B G Verheggen
Journal:  Curr Med Res Opin       Date:  2015-12-03       Impact factor: 2.580

Review 3.  5. Lifestyle Management: Standards of Medical Care in Diabetes-2019.

Authors: 
Journal:  Diabetes Care       Date:  2019-01       Impact factor: 19.112

4.  Impact of diabetes on costs before and after major lower extremity amputations in Germany.

Authors:  Falk Hoffmann; Heiner Claessen; Stephan Morbach; Regina Waldeyer; Gerd Glaeske; Andrea Icks
Journal:  J Diabetes Complications       Date:  2013-06-07       Impact factor: 2.852

5.  Direct medical costs for patients with type 2 diabetes in Sweden.

Authors:  F Henriksson; C D Agardh; C Berne; J Bolinder; F Lönnqvist; P Stenström; C G Ostenson; B Jönsson
Journal:  J Intern Med       Date:  2000-11       Impact factor: 8.989

6.  The direct medical cost of type 2 diabetes.

Authors:  Michael Brandle; Honghong Zhou; Barbara R K Smith; Deanna Marriott; Ray Burke; Bahman P Tabaei; Morton B Brown; William H Herman
Journal:  Diabetes Care       Date:  2003-08       Impact factor: 19.112

7.  Incidence and prevalence rates of diabetes mellitus in Taiwan: analysis of the 2000-2009 Nationwide Health Insurance database.

Authors:  Yi-Der Jiang; Chia-Hsuin Chang; Tong-Yuan Tai; Jung-Fu Chen; Lee-Ming Chuang
Journal:  J Formos Med Assoc       Date:  2012-10-23       Impact factor: 3.282

8.  Dipeptidyl peptidase-4 inhibitor use is not associated with elevated risk of severe joint pain in patients with type 2 diabetes: a population-based cohort study.

Authors:  Wen-Hsuan Hou; Kai-Cheng Chang; Chung-Yi Li; Huang-Tz Ou
Journal:  Pain       Date:  2016-09       Impact factor: 6.961

9.  Dipeptidyl peptidase-4 inhibitor use is associated with decreased risk of fracture in patients with type 2 diabetes: a population-based cohort study.

Authors:  Wen-Hsuan Hou; Kai-Cheng Chang; Chung-Yi Li; Huang-Tz Ou
Journal:  Br J Clin Pharmacol       Date:  2018-06-29       Impact factor: 4.335

10.  Economic impact of and treatment options for type 2 diabetes.

Authors:  Jan D Hirsch; Candis M Morello
Journal:  Am J Manag Care       Date:  2017-08       Impact factor: 2.229

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  5 in total

1.  Health consequences of early-onset compared with late-onset type 2 diabetes mellitus.

Authors:  Can Hou; Huazhen Yang; Yuanyuan Qu; Wenwen Chen; Yu Zeng; Yao Hu; K M Venkat Narayan; Huan Song; Dong Li
Journal:  Precis Clin Med       Date:  2022-06-06

2.  A nationwide cohort study for comparative vascular safety of long-acting insulin analogue versus intermediate-acting human insulin in type 2 diabetes.

Authors:  Chun-Ting Yang; Kuan-Ying Li; Chen-Yi Yang; Huang-Tz Ou; Shihchen Kuo
Journal:  Sci Rep       Date:  2021-02-18       Impact factor: 4.379

3.  Derivation and Validation of a Prediction Model of End-Stage Renal Disease in Patients With Type 2 Diabetes Based on a Systematic Review and Meta-analysis.

Authors:  Qiuyue Ren; Dong Chen; Xinbang Liu; Ronglu Yang; Lisha Yuan; Min Ding; Ning Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-03-10       Impact factor: 5.555

4.  Healthcare costs and hospitalizations in US patients with type 2 diabetes and cardiovascular disease: A retrospective database study (OFFSET).

Authors:  Marc Evans; Abhishek Shankar Chandramouli; Mads Faurby; Kasper Sommer Matthiessen; Phillip Bredahl Mogensen; Subodh Verma
Journal:  Diabetes Obes Metab       Date:  2022-05-03       Impact factor: 6.408

5.  Long-term neurological and healthcare burden of adults with Japanese encephalitis: A nationwide study 2000-2015.

Authors:  Hsuan-Ying Chen; Chen-Yi Yang; Cheng-Yang Hsieh; Chun-Yin Yeh; Chang-Chun Chen; Yen-Chin Chen; Chung-Chih Lai; Rebecca Claire Harris; Huang-Tz Ou; Nai-Ying Ko; Wen-Chien Ko
Journal:  PLoS Negl Trop Dis       Date:  2021-09-14
  5 in total

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