Literature DB >> 15061679

How often do sensitivity analyses for economic parameters change cost-utility analysis conclusions?

Bruce R Schackman1, Heather Taffet Gold, Patricia W Stone, Peter J Neumann.   

Abstract

BACKGROUND: There is limited evidence about the extent to which sensitivity analysis has been used in the cost-effectiveness literature. Sensitivity analyses for health-related QOL (HR-QOL), cost and discount rate economic parameters are of particular interest because they measure the effects of methodological and estimation uncertainties. AIM: To investigate the use of sensitivity analyses in the pharmaceutical cost-utility literature in order to test whether a change in economic parameters could result in a different conclusion regarding the cost effectiveness of the intervention analysed.
METHODS: Cost-utility analyses of pharmaceuticals identified in a prior comprehensive audit (70 articles) were reviewed and further audited. For each base case for which sensitivity analyses were reported (n = 122), up to two sensitivity analyses for HR-QOL (n = 133), cost (n = 99), and discount rate (n = 128) were examined. Article mentions of thresholds for acceptable cost-utility ratios were recorded (total 36). Cost-utility ratios were denominated in US dollars for the year reported in each of the original articles in order to determine whether a different conclusion would have been indicated at the time the article was published. Quality ratings from the original audit for articles where sensitivity analysis results crossed the cost-utility ratio threshold above the base-case result were compared with those that did not.
RESULTS: The most frequently mentioned cost-utility thresholds were $US20,000/QALY, $US50,000/QALY, and $US100,000/QALY. The proportions of sensitivity analyses reporting quantitative results that crossed the threshold above the base-case results (or where the sensitivity analysis result was dominated) were 31% for HR-QOL sensitivity analyses, 20% for cost-sensitivity analyses, and 15% for discount-rate sensitivity analyses. Almost half of the discount-rate sensitivity analyses did not report quantitative results. Articles that reported sensitivity analyses where results crossed the cost-utility threshold above the base-case results (n = 25) were of somewhat higher quality, and were more likely to justify their sensitivity analysis parameters, than those that did not (n = 45), but the overall quality rating was only moderate.
CONCLUSIONS: Sensitivity analyses for economic parameters are widely reported and often identify whether choosing different assumptions leads to a different conclusion regarding cost effectiveness. Changes in HR-QOL and cost parameters should be used to test alternative guideline recommendations when there is uncertainty regarding these parameters. Changes in discount rates less frequently produce results that would change the conclusion about cost effectiveness. Improving the overall quality of published studies and describing the justifications for parameter ranges would allow more meaningful conclusions to be drawn from sensitivity analyses.

Mesh:

Year:  2004        PMID: 15061679     DOI: 10.2165/00019053-200422050-00003

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


  11 in total

1.  The quality of reporting in published cost-utility analyses, 1976-1997.

Authors:  P J Neumann; P W Stone; R H Chapman; E A Sandberg; C M Bell
Journal:  Ann Intern Med       Date:  2000-06-20       Impact factor: 25.391

Review 2.  Health economic guidelines--similarities, differences and some implications.

Authors:  J Hjelmgren; F Berggren; F Andersson
Journal:  Value Health       Date:  2001 May-Jun       Impact factor: 5.725

Review 3.  When does quality-adjusting life-years matter in cost-effectiveness analysis?

Authors:  Richard H Chapman; Marc Berger; Milton C Weinstein; Jane C Weeks; Sue Goldie; Peter J Neumann
Journal:  Health Econ       Date:  2004-05       Impact factor: 3.046

4.  How attractive does a new technology have to be to warrant adoption and utilization? Tentative guidelines for using clinical and economic evaluations.

Authors:  A Laupacis; D Feeny; A S Detsky; P X Tugwell
Journal:  CMAJ       Date:  1992-02-15       Impact factor: 8.262

5.  Health care CBA and CEA from 1991 to 1996: an updated bibliography.

Authors:  A Elixhauser; M Halpern; J Schmier; B R Luce
Journal:  Med Care       Date:  1998-05       Impact factor: 2.983

6.  Tentative guidelines for using clinical and economic evaluations revisited.

Authors:  A Laupacis; D Feeny; A S Detsky; P X Tugwell
Journal:  CMAJ       Date:  1993-03-15       Impact factor: 8.262

Review 7.  Sensitivity analysis in economic evaluation: a review of published studies.

Authors:  A Briggs; M Sculpher
Journal:  Health Econ       Date:  1995 Sep-Oct       Impact factor: 3.046

8.  Health care CBA/CEA: an update on the growth and composition of the literature.

Authors:  A Elixhauser; B R Luce; W R Taylor; J Reblando
Journal:  Med Care       Date:  1993-07       Impact factor: 2.983

9.  Foundations of cost-effectiveness analysis for health and medical practices.

Authors:  M C Weinstein; W B Stason
Journal:  N Engl J Med       Date:  1977-03-31       Impact factor: 91.245

10.  Comparison of health state utilities using community and patient preference weights derived from a survey of patients with HIV/AIDS.

Authors:  Bruce R Schackman; Sue J Goldie; Kenneth A Freedberg; Elena Losina; John Brazier; Milton C Weinstein
Journal:  Med Decis Making       Date:  2002 Jan-Feb       Impact factor: 2.583

View more
  10 in total

1.  Cost-effectiveness of adding an agent that improves immune responses to initial antiretroviral therapy (ART) in HIV-infected patients: guidance for drug development.

Authors:  Bethany L Morris; Callie A Scott; Timothy J Wilkin; Paul E Sax; Roy M Gulick; Kenneth A Freedberg; Bruce R Schackman
Journal:  HIV Clin Trials       Date:  2012 Jan-Feb

2.  Measuring preferences for cost-utility analysis: how choice of method may influence decision-making.

Authors:  Christine M McDonough; Anna N A Tosteson
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

3.  Validity and responsiveness of generic preference-based HRQOL instruments in chronic epilepsy.

Authors:  J T Langfitt; B G Vickrey; M P McDermott; S Messing; A T Berg; S S Spencer; M R Sperling; C W Bazil; S Shinnar
Journal:  Qual Life Res       Date:  2006-06       Impact factor: 4.147

Review 4.  Sensitivity analysis in cost-effectiveness studies: from guidelines to practice.

Authors:  Rahul Jain; Michael Grabner; Eberechukwu Onukwugha
Journal:  Pharmacoeconomics       Date:  2011-04       Impact factor: 4.981

5.  Systematic review of economic burden of heart failure.

Authors:  Asrul Akmal Shafie; Yui Ping Tan; Chin Hui Ng
Journal:  Heart Fail Rev       Date:  2018-01       Impact factor: 4.214

6.  Establishing benchmark EQ-5D-3L population health state utilities and identifying their correlates in Gansu Province, China.

Authors:  Lei Si; Lei Shi; Mingsheng Chen; Andrew J Palmer
Journal:  Qual Life Res       Date:  2017-06-07       Impact factor: 4.147

7.  Assessing health-related quality of life and health utilities in patients with chronic hepatitis B-related diseases in China: a cross-sectional study.

Authors:  Meng Zhang; Yaoguang Li; Zihao Fan; Dongqi Shen; Xueying Huang; Qi Yu; Mei Liu; Feng Ren; Xiao Wang; Liping Dai; Peng Wang; Hua Ye; Jianxiang Shi; Xiaoang Yang; Shunxiang Zhang; Jianying Zhang
Journal:  BMJ Open       Date:  2021-09-15       Impact factor: 3.006

8.  Impact of advanced age on survival in patients with implantable cardioverter defibrillators.

Authors:  Cara N Pellegrini; Keane Lee; Jeffrey E Olgin; Mintu P Turakhia; Zian H Tseng; Randall Lee; Nitish Badhwar; Byron Lee; Paul D Varosy
Journal:  Europace       Date:  2008-09-24       Impact factor: 5.214

9.  Value-based medicine: concepts and application.

Authors:  Jong-Myon Bae
Journal:  Epidemiol Health       Date:  2015-03-04

Review 10.  Land use, transport, and population health: estimating the health benefits of compact cities.

Authors:  Mark Stevenson; Jason Thompson; Thiago Hérick de Sá; Reid Ewing; Dinesh Mohan; Rod McClure; Ian Roberts; Geetam Tiwari; Billie Giles-Corti; Xiaoduan Sun; Mark Wallace; James Woodcock
Journal:  Lancet       Date:  2016-09-23       Impact factor: 79.321

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.