Literature DB >> 27494774

Cost-of-illness models for venous thromboembolism: One size does not fit all.

Scott D Grosse1.   

Abstract

Entities:  

Keywords:  Cost-of-illness analysis; Health economics; Indirect costs; United States; Venous thromboembolism

Mesh：

Year:  2016        PMID： 27494774      PMCID： PMC5028284          DOI： 10.1016/j.thromres.2016.07.018

Source DB:  PubMed          Journal:  Thromb Res        ISSN： 0049-3848            Impact factor:   3.944


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  9 in total

Review 1.  Measuring and valuing productivity loss due to poor health: A critical review.

Authors:  Wei Zhang; Nick Bansback; Aslam H Anis
Journal:  Soc Sci Med       Date:  2010-11-18       Impact factor: 4.634

Review 2.  Cost-of-Illness Studies: An Updated Review of Current Methods.

Authors:  Eberechukwu Onukwugha; Jacquelyn McRae; Alex Kravetz; Stefan Varga; Rahul Khairnar; C Daniel Mullins
Journal:  Pharmacoeconomics       Date:  2016-01       Impact factor: 4.981

Review 3.  The economic burden of incident venous thromboembolism in the United States: A review of estimated attributable healthcare costs.

Authors:  Scott D Grosse; Richard E Nelson; Kwame A Nyarko; Lisa C Richardson; Gary E Raskob
Journal:  Thromb Res       Date:  2015-11-24       Impact factor: 3.944

4.  Cost-of-illness studies based on massive data: a prevalence-based, top-down regression approach.

Authors:  Björn Stollenwerk; Thomas Welchowski; Matthias Vogl; Stephanie Stock
Journal:  Eur J Health Econ       Date:  2015-02-04

5.  Venous thromboembolism and subsequent permanent work-related disability.

Authors:  S K Braekkan; S D Grosse; E M Okoroh; J Tsai; S C Cannegieter; I A Naess; S Krokstad; J-B Hansen; F E Skjeldestad
Journal:  J Thromb Haemost       Date:  2016-08-17       Impact factor: 5.824

6.  Cost-of-illness model for venous thromboembolism.

Authors:  Charles E Mahan; Stefano Barco; Alex C Spyropoulos
Journal:  Thromb Res       Date:  2016-06-23       Impact factor: 3.944

7.  Overview of methods to estimate the medical costs of cancer.

Authors:  William E Barlow
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

8.  Comparison of approaches for estimating prevalence costs of care for cancer patients: what is the impact of data source?

Authors:  K Robin Yabroff; Joan L Warren; Jessica Banthin; Deborah Schrag; Angela Mariotto; William Lawrence; Angela Meekins; Marie Topor; Martin L Brown
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983

9.  Economic productivity by age and sex: 2007 estimates for the United States.

Authors:  Scott D Grosse; Kurt V Krueger; Mercy Mvundura
Journal:  Med Care       Date:  2009-07       Impact factor: 2.983
  9 in total

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