Literature DB >> 30864067

Incorporating Future Medical Costs: Impact on Cost-Effectiveness Analysis in Cancer Patients.

Michelle Tew1,2, Philip Clarke3, Karin Thursky4,5, Kim Dalziel3.   

Abstract

BACKGROUND: The inclusion of future medical costs in cost-effectiveness analyses remains a controversial issue. The impact of capturing future medical costs is likely to be particularly important in patients with cancer where costly lifelong medical care is necessary. The lack of clear, definitive pharmacoeconomic guidelines can limit comparability and has implications for decision making.
OBJECTIVE: The aim of this study was to demonstrate the impact of incorporating future medical costs through an applied example using original data from a clinical study evaluating the cost effectiveness of a sepsis intervention in cancer patients.
METHODS: A decision analytic model was used to capture quality-adjusted life-years (QALYs) and lifetime costs of cancer patients from an Australian healthcare system perspective over a lifetime horizon. The evaluation considered three scenarios: (1) intervention-related costs (no future medical cost), (2) lifetime cancer costs and (3) all future healthcare costs. Inputs to the model included patient-level data from the clinical study, relative risk of death due to sepsis, cancer mortality and future medical costs sourced from published literature. All costs are expressed in 2017 Australian dollars and discounted at 5%. To further assess the impact of future costs on cancer heterogeneity, variation in survival and lifetime costs between cancer types and the implications for cost-effectiveness analysis were explored.
RESULTS: The inclusion of future medical costs increased incremental cost-effectiveness ratios (ICERs) resulting in a shift from the intervention being a dominant strategy (cheaper and more effective) to an ICER of $7526/QALY. Across different cancer types, longer life expectancies did not necessarily result in greater lifetime healthcare costs. Incremental costs differed across cancers depending on the respective costs of managing cancer and survivorship, thus resulting in variations in ICERs.
CONCLUSIONS: There is scope for including costs beyond intervention costs in economic evaluations. The inclusion of future medical costs can result in markedly different cost-effectiveness results, leading to higher ICERs in a cancer population, with possible implications for funding decisions.

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Mesh:

Year:  2019        PMID: 30864067     DOI: 10.1007/s40273-019-00790-9

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  60 in total

Review 1.  Measuring costs in cost-utility analyses. Variations in the literature.

Authors:  P W Stone; R H Chapman; E A Sandberg; B Liljas; P J Neumann
Journal:  Int J Technol Assess Health Care       Date:  2000       Impact factor: 2.188

2.  Cost-effectiveness analysis and the consistency of decision making: evidence from pharmaceutical reimbursement in australia (1991 to 1996).

Authors:  B George; A Harris; A Mitchell
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

Review 3.  How should we deal with patient heterogeneity in economic evaluation: a systematic review of national pharmacoeconomic guidelines.

Authors:  Bram L T Ramaekers; Manuela A Joore; Janneke P C Grutters
Journal:  Value Health       Date:  2013-05-15       Impact factor: 5.725

4.  Future costs in economic evaluation. A comment on Lee.

Authors:  Talitha L Feenstra; Pieter H M van Baal; Afshin Gandjour; Werner B F Brouwer
Journal:  J Health Econ       Date:  2008-07-25       Impact factor: 3.883

5.  COST, CONTEXT, AND DECISIONS IN HEALTH ECONOMICS AND HEALTH TECHNOLOGY ASSESSMENT.

Authors:  Anthony J Culyer
Journal:  Int J Technol Assess Health Care       Date:  2018-10-17       Impact factor: 2.188

6.  Effect of future costs on cost-effectiveness of medical interventions among young adults: the example of intensive therapy for type 1 diabetes mellitus.

Authors:  D Meltzer; B Egleston; D Stoffel; E Dasbach
Journal:  Med Care       Date:  2000-06       Impact factor: 2.983

7.  Evaluating Frameworks That Provide Value Measures for Health Care Interventions.

Authors:  Jeanne S Mandelblatt; Scott D Ramsey; Tracy A Lieu; Charles E Phelps
Journal:  Value Health       Date:  2017-02       Impact factor: 5.725

8.  Lifetime and treatment-phase costs associated with colorectal cancer: evidence from SEER-Medicare data.

Authors:  Kathleen Lang; Lisa M Lines; David W Lee; Jonathan R Korn; Craig C Earle; Joseph Menzin
Journal:  Clin Gastroenterol Hepatol       Date:  2008-09-04       Impact factor: 11.382

9.  Patterns of cancer care costs in a country with detailed individual data.

Authors:  Tony Blakely; June Atkinson; Giorgi Kvizhinadze; Nick Wilson; Anna Davies; Philip Clarke
Journal:  Med Care       Date:  2015-04       Impact factor: 2.983

10.  Long term outcomes following hospital admission for sepsis using relative survival analysis: a prospective cohort study of 1,092 patients with 5 year follow up.

Authors:  Joshua S Davis; Vincent He; Nicholas M Anstey; John R Condon
Journal:  PLoS One       Date:  2014-12-08       Impact factor: 3.240

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  2 in total

1.  Future medical and non-medical costs and their impact on the cost-effectiveness of life-prolonging interventions: a comparison of five European countries.

Authors:  Hamraz Mokri; Ingelin Kvamme; Linda de Vries; Matthijs Versteegh; Pieter van Baal
Journal:  Eur J Health Econ       Date:  2022-08-04

2.  Assessment of Financial Toxicity Among Patients With Advanced Lung Cancer in Western China.

Authors:  Tianqi Xu; Leidi Xu; Hangtian Xi; Yong Zhang; Ying Zhou; Ning Chang; Wenhui Yang; Yan Zhang; Ming Wang; Qing Ju; Xuemin Yang; Xiangxiang Chen; Yinggang Che; Fulin Chen; Shuoyao Qu; Jian Zhang
Journal:  Front Public Health       Date:  2022-01-12
  2 in total

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