Use of multicriteria decision analysis for assessing the benefit and risk of over-the-counter analgesics

MOORE, Andrew, CROSSLEY, Anne, NG, Bernard, PHILLIPS, Lawrence, SANCAK, Özgür and RAINSFORD, Kim (2017). Use of multicriteria decision analysis for assessing the benefit and risk of over-the-counter analgesics. Journal of Pharmacy and Pharmacology, 69 (10), 1364-1373.

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Abstract

Objectives To test the ability of a multicriteria decision analysis (MCDA) model to incorporate disparate data sources of varying quality along with clinical judgement in a benefit–risk assessment of six well-known pain-relief drugs. Methods Six over-the-counter (OTC) analgesics were evaluated against three favourable effects and eight unfavourable effects by seven experts who specialise in the relief of pain, two in a 2-day facilitated workshop whose input data and judgements were later peer-reviewed by five additional experts. Key findings Ibuprofen salts and solubilised emerged with the best benefit–risk profile, followed by naproxen, ibuprofen acid, diclofenac, paracetamol and aspirin. Conclusions Multicriteria decision analysis enabled participants to evaluate the OTC analgesics against a range of favourable and unfavourable effects in a group setting that enabled all issues to be openly aired and debated. The model was easily communicated and understood by the peer reviewers, so the model should be comprehensible to physicians, pharmacists and other health professionals.

Item Type:	Article
Additional Information:	** From Crossref via Jisc Publications Router. ** Licence for this article starting on 13-07-2017: http://onlinelibrary.wiley.com/termsAndConditions
Uncontrolled Keywords:	Pharmacology, Pharmaceutical Science
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Biomedical Research Centre
Identification Number:	https://doi.org/10.1111/jphp.12770
Page Range:	1364-1373
SWORD Depositor:	Hilary Ridgway
Depositing User:	Hilary Ridgway
Date Deposited:	20 Jul 2017 08:12
Last Modified:	18 Mar 2021 01:03
URI:	https://shura.shu.ac.uk/id/eprint/16254

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