Abstract
The objective of this article is to illustrate how to do cost-effectiveness analysis (CEA) using net-benefit regression and to explain how this method provides all of the benefits CEA can provide for improving efficiency and value in palliative care. We use a hypothetical data set with person-level data to demonstrate the net-benefit regression framework. Cost and effect data are combined with assumptions about willingness to pay to produce a net-benefit variable for each study participant. This net-benefit variable is the dependent variable in a net-benefit regression. In the simplest formulation, the regression coefficient on the treatment indicator variable estimates the difference in value between extra benefits and extra costs. The estimate and its confidence interval provide policy-relevant information. Net-benefit regression can be used with data from clinical trials or from administrative data sets. The results can be used to help develop policy, with an aim toward improving efficiency and value in health care.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 54-61 |
| Number of pages | 8 |
| Journal | Journal of Pain and Symptom Management |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jul 2009 |
| Externally published | Yes |
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Keywords
- Cost-effectiveness analysis
- incremental cost-effectiveness ratio
- incremental net benefit
- net-benefit regression
ASJC Scopus subject areas
- Anesthesiology and Pain Medicine
- Clinical Neurology
- Nursing(all)
Cite this
Improving Efficiency and Value in Palliative Care with Net Benefit Regression : An Introduction to a Simple Method for Cost-Effectiveness Analysis with Person-Level Data. / Hoch, Jeffrey S.
In: Journal of Pain and Symptom Management, Vol. 38, No. 1, 07.2009, p. 54-61.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Improving Efficiency and Value in Palliative Care with Net Benefit Regression
T2 - An Introduction to a Simple Method for Cost-Effectiveness Analysis with Person-Level Data
AU - Hoch, Jeffrey S
PY - 2009/7
Y1 - 2009/7
N2 - The objective of this article is to illustrate how to do cost-effectiveness analysis (CEA) using net-benefit regression and to explain how this method provides all of the benefits CEA can provide for improving efficiency and value in palliative care. We use a hypothetical data set with person-level data to demonstrate the net-benefit regression framework. Cost and effect data are combined with assumptions about willingness to pay to produce a net-benefit variable for each study participant. This net-benefit variable is the dependent variable in a net-benefit regression. In the simplest formulation, the regression coefficient on the treatment indicator variable estimates the difference in value between extra benefits and extra costs. The estimate and its confidence interval provide policy-relevant information. Net-benefit regression can be used with data from clinical trials or from administrative data sets. The results can be used to help develop policy, with an aim toward improving efficiency and value in health care.
AB - The objective of this article is to illustrate how to do cost-effectiveness analysis (CEA) using net-benefit regression and to explain how this method provides all of the benefits CEA can provide for improving efficiency and value in palliative care. We use a hypothetical data set with person-level data to demonstrate the net-benefit regression framework. Cost and effect data are combined with assumptions about willingness to pay to produce a net-benefit variable for each study participant. This net-benefit variable is the dependent variable in a net-benefit regression. In the simplest formulation, the regression coefficient on the treatment indicator variable estimates the difference in value between extra benefits and extra costs. The estimate and its confidence interval provide policy-relevant information. Net-benefit regression can be used with data from clinical trials or from administrative data sets. The results can be used to help develop policy, with an aim toward improving efficiency and value in health care.
KW - Cost-effectiveness analysis
KW - incremental cost-effectiveness ratio
KW - incremental net benefit
KW - net-benefit regression
UR - http://www.scopus.com/inward/record.url?scp=67650459589&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650459589&partnerID=8YFLogxK
U2 - 10.1016/j.jpainsymman.2009.04.010
DO - 10.1016/j.jpainsymman.2009.04.010
M3 - Article
C2 - 19615627
AN - SCOPUS:67650459589
VL - 38
SP - 54
EP - 61
JO - Journal of Pain and Symptom Management
JF - Journal of Pain and Symptom Management
SN - 0885-3924
IS - 1
ER -