Literature DB >> 1538611

Economic analysis in randomized control trials.

M E Adams1, N T McCall, D T Gray, M J Orza, T C Chalmers.   

Abstract

In medical technology assessment, randomized control trials (RCTs) play an important role in determining the relative efficacy of compared treatments. As scarce resources necessitate choosing among options for care, comparing costs of alternative tests, treatments, or programs also becomes important. This study assessed the prevalence and completeness of economic analyses in RCTs published from January 1966 through June 1988. It was found that only 121 of over 50,000 published randomized trials (0.2%) included economic analyses. For a random sample of 51 of these 121 studies, results revealed a mean quality of research score of 0.32 (SD of measurement = 0.14) and a mean economic analysis completeness score of 0.52 (SD = 0.13) on scales of 0 to 1. It was also found that higher economic completeness scores were positively correlated with later dates of publication (r = 0.28, P = 0.046) and with the presence of a statement of study perspective (r = 0.38, P = 0.006). A near-zero correlation between the economic completeness and the quality of research scores was revealed. Also noted were several deficiencies among the economic analyses, including improper allocation of overhead costs, absence of sensitivity analyses, and the fact that only 28% of the 51 studies included some form of aggregation of treatment costs and consequences. Progress in health care depends on accurate assessments of both relative efficacy and costs. The quality of both needs improvement.

Mesh:

Year:  1992        PMID: 1538611     DOI: 10.1097/00005650-199203000-00005

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


  33 in total

1.  Quality of economic evaluations in health care.

Authors:  Tom Jefferson; Vittorio Demicheli
Journal:  BMJ       Date:  2002-02-09

Review 2.  Testing the validity of cost-effectiveness models.

Authors:  C McCabe; S Dixon
Journal:  Pharmacoeconomics       Date:  2000-05       Impact factor: 4.981

3.  The problem of protocol driven costs in pharmacoeconomic analysis.

Authors:  D Coyle; K M Lee
Journal:  Pharmacoeconomics       Date:  1998-10       Impact factor: 4.981

4.  Incorporation of statistical uncertainty in health economic modelling studies using second-order Monte Carlo simulations.

Authors:  Mark J C Nuijten
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

Review 5.  Statistical versus quantitative significance in the socioeconomic evaluation of medicines.

Authors:  B J O'Brien; M F Drummond
Journal:  Pharmacoeconomics       Date:  1994-05       Impact factor: 4.981

6.  Cost-per-QALY league tables: their role in pharmacoeconomic analysis.

Authors:  J M Mason
Journal:  Pharmacoeconomics       Date:  1994-06       Impact factor: 4.981

Review 7.  The generalisability of pharmacoeconomic studies.

Authors:  J Mason
Journal:  Pharmacoeconomics       Date:  1997-06       Impact factor: 4.981

Review 8.  Statistical analysis in pharmacoeconomic studies. A review of current issues and standards.

Authors:  D Coyle
Journal:  Pharmacoeconomics       Date:  1996-06       Impact factor: 4.981

9.  Issues in the conduct of economic evaluations of pharmaceutical products.

Authors:  M F Drummond
Journal:  Pharmacoeconomics       Date:  1994-11       Impact factor: 4.981

10.  Economic decision making in healthcare. A standard approach to discounting health outcomes.

Authors:  A L Hillman; M S Kim
Journal:  Pharmacoeconomics       Date:  1995-03       Impact factor: 4.981

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