ID: 26773
Meeting / Value in Health Info: ISPOR 16th Annual International Meeting
Baltimore, MD, USA
May, 2011
Code: PRM14
Disease: Multiple Diseases/No Specific Disease
Topic: Conceptual Papers (CP)
Topic Subcategory: Modeling Studies (MS)
Title: VALIDATING AN ONLINE CALCULATOR FOR EVALUATING HEALTH INTERVENTION OPTIONS USING THE ANALYTIC HIERARCHY PROCESS (AHP)
Author(s):

McGhan WF, Vichaichanakul K, Willey VJUniversity of the Sciences, Philadelphia, PA, USA

Content:

OBJECTIVES: To evaluate an online calculator for analyzing and scoring health intervention options using the analytic hierarchy process (AHP). METHODS: A web-based calculator was developed that generates priority scores using the Analytic Hierarchy Process as well as various AHP statistics and graphs. AHP is designed to assist in decision-making situations involving multiple attributes by making judgments about the relative importance of key attributes and then specifying a preference for each decision alternative on each attribute. The web-based software is freely available at: www.healthstrategy.com (HDS). The tool was compared to an MS Excel calculator from K. Teknomo which can be downloaded from: http://people.revoledu.com/kardi/tutorial/AHP. These two software options were evaluated against results from a published health economics paper from Nuijten and Kosa that utilized AHP on three antidepressant choices around the three main factors of budget impact, therapeutic value, and cost effectiveness. RESULTS:  The published paper results compared with the Teknomo and HDS calculators were as follows on factor weights: Budget Impact (0.28, 0.28, 0.28), Cost Effectiveness (0.07, 0.07, 0.07), Therapeutic Value (0.65, 0.64, 0.64). On overall score (composite weights) the published paper compared with the Teknomo and HDS calculators as follows: New Drug (0.49, 0.56, 0.56), SSRI (0.26, 0.18, 0.18), TCA (0.25, 0.26, 0.26). CONCLUSIONS: Both software approaches provided basic statistics and graphs often found in AHP reports. For basic scoring, the HealthStrategy and Teknomo approaches provided similar results, but differed somewhat from the published paper that used additional sub-factors on some attributes. For future research, additional datasets should be explored, sensitivity analyses should be performed on key variables, and comparisons should be made with more comprehensive software and multi-attribute utility approaches.

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