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Recommendation for a Pilot MCDA Tool to Support the Value-Based Purchasing of Generic Medicines in the UAE
Mohamed Naser Farghaly1, Sara Ahmad Mohammad Al Dallal1, Ahmad Nader Fasseeh2,3
1Dubai Health Insurance Corporation, Dubai Health Authority, Dubai, United Arab Emirates.
Dubai policymakers prioritize value-based healthcare by developing a Multicriteria Decision Analysis (MCDA) tool to support generic medicine purchasing. Quality and clinical outcomes are weighted higher than cost for pharmaceutical policy.
Area of Science:
- Health Economics
- Pharmaceutical Policy
- Decision Science
Background:
- The UAE is enhancing pharmaceutical policies to promote local manufacturing and generic medicine use.
- Quality control is crucial for cost containment in pharmaceutical policies.
- Multicriteria Decision Analysis (MCDA) aids healthcare decisions with multiple objectives.
Purpose of the Study:
- To develop a pilot Multicriteria Decision Analysis (MCDA) tool for value-based purchasing of generic medicines in the UAE.
- To create a reusable tool supporting pharmaceutical policy decisions.
Main Methods:
- An international evidence framework was adapted for the UAE through a multistakeholder workshop.
- Nine criteria's relevance was validated locally.
- Participants ranked and weighted criteria via anonymous voting.
Main Results:
- Quality criteria, including real-world outcomes and manufacturing assurance, received the highest weights (19.8% and 17.3%).
- Evidence of equivalence (14.8%) and drug formulation (12.3%) were also highly weighted.
- Pharmaceutical acquisition cost ranked fifth (9.4%), with supply reliability, macroeconomic benefit, pharmacovigilance, and added services receiving lower weights.
Conclusions:
- Dubai policymakers emphasize value-based healthcare, incentivizing manufacturers to provide robust evidence beyond minimum requirements.
- The developed MCDA tool enhances transparency and consistency in decision-making for off-patent pharmaceuticals in the UAE.
- The MCDA tool shows potential for broader application to other health technologies.
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