Literature DB >> 11446127

Analyzing differences in the costs of treatment across centers within economic evaluations.

D Coyle1, M F Drummond.   

Abstract

OBJECTIVES: Assessments of health technologies increasingly include economic evaluations conducted alongside clinical trials. One particular concern with economic evaluations conducted alongside clinical trials is the generalizability of results from one setting to another. Much of the focus relating to this topic has been on the generalizability of results between countries. However, the characteristics of clinical trial design require further consideration of the generalizability of cost data between centers within a single country, which could be important in decisions about adoption of the new technology.
METHODS: We used data from a multicenter clinical trial conducted in the United Kingdom to assess the degree of variation in costs between patients and between treatment centers and the determinants of the degree of such variation.
RESULTS: The variation between patients was statistically significant for both the experimental and conventional treatments. However, the degree of variation between centers was only statistically significant for the experimental treatment. Such variation appeared to be a result of hospital practice, such as payment mechanisms for staff and provision of hostel accommodation, rather than variations in physical resource use or substantive differences in cost structure.
CONCLUSIONS: Multicenter economic evaluations are necessary for determining the variations in hospital practice and characteristics that can in turn determine the generalizability of study results to other settings. Such analyses can identify issues that may be important in adopting a new health technology. Analysis is required of similar large multicenter trials to confirm these conclusions.

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Year:  2001        PMID: 11446127     DOI: 10.1017/s0266462301105015

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  9 in total

Review 1.  Design, analysis and presentation of multinational economic studies: the need for guidance.

Authors:  Francis Pang
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

2.  A decision chart for assessing and improving the transferability of economic evaluation results between countries.

Authors:  Robert Welte; Talitha Feenstra; Hans Jager; Reiner Leidl
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

3.  The analysis of multinational cost-effectiveness data for reimbursement decisions: a critical appraisal of recent methodological developments.

Authors:  Andrea Manca; Mark J Sculpher; Ron Goeree
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

Review 4.  Analysis sans frontières: can we ever make economic evaluations generalisable across jurisdictions?

Authors:  Mark J Sculpher; Michael F Drummond
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

Review 5.  Assessing generalisability in model-based economic evaluation studies: a structured review in osteoporosis.

Authors:  Hege Urdahl; Andrea Manca; Mark J Sculpher
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

6.  Comparisons of hypertension-related costs from multinational clinical studies.

Authors:  C Daniel Mullins; Mirko Sikirica; Viran Seneviratne; Jeonghoon Ahn; Kasem S Akhras
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

Review 7.  Costing evidence for health care decision-making in Austria: A systematic review.

Authors:  Susanne Mayer; Noemi Kiss; Agata Łaszewska; Judit Simon
Journal:  PLoS One       Date:  2017-08-14       Impact factor: 3.240

8.  Transferability of Economic Evaluations of Treatments for Advanced Melanoma.

Authors:  Claire Gorry; Laura McCullagh; Michael Barry
Journal:  Pharmacoeconomics       Date:  2020-02       Impact factor: 4.981

Review 9.  Can the Direct Medical Cost of Chronic Disease Be Transferred across Different Countries? Using Cost-of-Illness Studies on Type 2 Diabetes, Epilepsy and Schizophrenia as Examples.

Authors:  Lan Gao; Hao Hu; Fei-Li Zhao; Shu-Chuen Li
Journal:  PLoS One       Date:  2016-01-27       Impact factor: 3.240

  9 in total

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