An agent-based simulation modelling approach to extended cost-effectiveness analysis of health interventions

Arindam Nandi, Itamar Megiddo, Dorairaj Prabhakaran, Ramanan Laxminarayan

Research output: Contribution to journalArticle

Abstract

Cost-effectiveness analysis (CEA) is widely used as a tool for prioritising health interventions, particularly in low-income and middle-income settings. However, among the major limitations of CEA are the omission of health-care seeking behaviour, heterogeneous mechanisms across populations or regions that determine the delivery and quality of health interventions, and the economic benefits of such interventions. Extended CEA complements basic CEA and provides a basis for a multicriteria decision-making approach that looks beyond health measures, but is far less complex than a benefit–cost analysis.
LanguageEnglish
PagesS96-S96
Number of pages1
JournalThe Lancet
Volume381
Issue numberSupplement 2
DOIs
Publication statusPublished - 17 Jun 2013

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Systems Analysis
Cost-Benefit Analysis
Health
Patient Acceptance of Health Care
Decision Making
Economics
Population

Keywords

  • cost-effectiveness
  • health interventions

Cite this

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An agent-based simulation modelling approach to extended cost-effectiveness analysis of health interventions. / Nandi, Arindam; Megiddo, Itamar; Prabhakaran, Dorairaj; Laxminarayan, Ramanan.

In: The Lancet, Vol. 381, No. Supplement 2, 17.06.2013, p. S96-S96.

Research output: Contribution to journalArticle

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