Literature DB >> 10217387

Direct medical charges associated with myocardial infarction in patients with and without diabetes.

T L Smith1, C A Melfi, J A Kesterson, B J Sandmann, J G Kotsanos.   

Abstract

OBJECTIVES: This study was designed to measure the direct medical charges for patients with and without diabetes who experience myocardial infarction.
METHODS: We completed a retrospective cohort analysis (from the third-party payer perspective) to determine the total direct medical charges (eg, hospitalizations, outpatient visits, pharmacy, and emergency room visits) incurred by an inner city sample of 293 patients during the 12 months following myocardial infarction during the period from January 1993 through February 1997.
RESULTS: The 87 patients with diabetes had a higher per patient total direct medical charge (inclusive of initial hospitalization) compared to the 206 patients without diabetes ($18,577 versus $26,414) and approximately $3000 more per person year of observation. Hospitalizations (initial and during the follow-up period) accounted for 88% of the total direct medical charges. The mean charge for the initial hospitalization was higher for patients with diabetes ($12,730 versus $15,394). In a subset, the mean charge per cardiovascular-related hospitalization that occurred during the follow-up period was also higher for patients with diabetes ($6344 versus $9648).
CONCLUSIONS: Consistent with what we expected, patients with diabetes incurred higher total direct medical charges as a result of and following myocardial infarction. These data can be used in future cost-effectiveness evaluations for therapies developed to treat patients with diabetes who experience myocardial infarction or for therapies designed to reduce the risk of macrovascular complications associated with diabetes.

Entities:  

Mesh:

Year:  1999        PMID: 10217387     DOI: 10.1097/00005650-199904001-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  7 in total

Review 1.  A Systematic Review of Cardiovascular Outcomes-Based Cost-Effectiveness Analyses of Lipid-Lowering Therapies.

Authors:  Ching-Yun Wei; Ruben G W Quek; Guillermo Villa; Shravanthi R Gandra; Carol A Forbes; Steve Ryder; Nigel Armstrong; Sohan Deshpande; Steven Duffy; Jos Kleijnen; Peter Lindgren
Journal:  Pharmacoeconomics       Date:  2017-03       Impact factor: 4.981

2.  Cost effectiveness of treating low HDL-cholesterol in the primary prevention of coronary heart disease.

Authors:  Joel W Hay; Kimberly L Sterling
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

3.  Assessing the impact of complications on the costs of Type II diabetes.

Authors:  R Williams; L Van Gaal; C Lucioni
Journal:  Diabetologia       Date:  2002-07       Impact factor: 10.122

4.  Cost effectiveness and screening interval of lipid screening in Hodgkin's lymphoma survivors.

Authors:  Aileen B Chen; Rinaa S Punglia; Karen M Kuntz; Peter M Mauch; Andrea K Ng
Journal:  J Clin Oncol       Date:  2009-09-14       Impact factor: 44.544

5.  Geographic variation in health care utilization and outcomes in veterans with acute myocardial infarction.

Authors:  Usha Subramanian; Morris Weinberger; George J Eckert; Gilbert J L'Italien; Pablo Lapuerta; William Tierney
Journal:  J Gen Intern Med       Date:  2002-08       Impact factor: 5.128

6.  Cost-utility analysis of genotype-guided antiplatelet therapy in patients with moderate-to-high risk acute coronary syndrome and planned percutaneous coronary intervention.

Authors:  Vardhaman Patel; Fang-Ju Lin; Olaitan Ojo; Sapna Rao; Shengsheng Yu; Lin Zhan; Daniel R Touchette
Journal:  Pharm Pract (Granada)       Date:  2014-09-04

7.  How do type 2 diabetes mellitus (T2DM)-related complications and socioeconomic factors impact direct medical costs? A cross-sectional study in rural Southeast China.

Authors:  Haibin Wu; Karen N Eggleston; Jieming Zhong; Ruying Hu; Chunmei Wang; Kaixu Xie; Yiwei Chen; Xiangyu Chen; Min Yu
Journal:  BMJ Open       Date:  2018-11-01       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.