1997
DOI: 10.1046/j.1525-1497.1997.07107.x
|View full text |Cite
|
Sign up to set email alerts
|

Assessing the effectiveness of health interventions for cost-effectiveness analysis

Abstract: C ost-effectiveness analysis (CEA) is an analytic tool in which the costs and effects of an intervention designed to prevent, diagnose, or treat disease are calculated and compared with an alternative strategy to achieve the same goals. The results of a CEA are presented as a ratio of costs to effects, where the effects are health outcomes such as cases of disease prevented, years of life gained, or qualityadjusted life years gained, rather than monetary measures, as in cost-benefit analysis. Conducting a CEA … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
78
0
1

Year Published

2001
2001
2010
2010

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 101 publications
(80 citation statements)
references
References 68 publications
0
78
0
1
Order By: Relevance
“…As Mandelblatt et al [4] stated, 'Models are only as good as their ability to represent reality at the level needed to draw useful conclusions; this in turn, depends on their structure and on the assumptions that go into the model.' Direct validation of a model is the ultimate test, but is often not possible, because a primary motivation for modeling is the absence of comprehensive prospective data [6].…”
Section: Challenge 7: Model Validationmentioning
confidence: 99%
See 1 more Smart Citation
“…As Mandelblatt et al [4] stated, 'Models are only as good as their ability to represent reality at the level needed to draw useful conclusions; this in turn, depends on their structure and on the assumptions that go into the model.' Direct validation of a model is the ultimate test, but is often not possible, because a primary motivation for modeling is the absence of comprehensive prospective data [6].…”
Section: Challenge 7: Model Validationmentioning
confidence: 99%
“…Cost-effectiveness analyses assess whether an intervention provides good value for resources expended relative to other healthcare interventions [3]. Assessing the costeffectiveness of new agents poses several challenges that can, in part, be overcome with decision-analytic modeling [4,5]. Chief among these challenges is that the health and economic consequences of long-term treatment are rarely observed in randomized controlled trials (RCT).…”
Section: Introductionmentioning
confidence: 99%
“…This recent application of the construct has led to the growth of a subset of instruments that define HRQOL as a quantitative value for a given health state [10] and are referred to as preference-based measures. Central to these instruments is the idea that individuals have a quantifiable preference for health outcomes, or 'utilities', with the scores derived reflecting the relative value that people place on living in different health states [16]. Although different methods are used to elicit utilities, they are generally based on the preferences of a community population and the value they attribute to different health states using choice-based valuation tasks or time-trade off [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Randomized clinical trials (RCTs) generally provide the best information on clinical outcomes for use in cost-effectiveness and evidence-based studies [2]. However, for ethical, practical, and cost reasons, it is often not feasible to conduct RCTs of alternative treatments.…”
Section: Introductionmentioning
confidence: 99%
“…However, for ethical, practical, and cost reasons, it is often not feasible to conduct RCTs of alternative treatments. Rather, observational data are frequently used as a substitute [2]. Some even envision a national health outcomes data base that would record medications used and results for people treated in non-experimental settings [3].…”
Section: Introductionmentioning
confidence: 99%