Developing Economic Evaluation Guidelines for Saudi Arabia – Local Experts Engagement

Author(s)

Maraiki F1, Elhassan T2, Bazarbashi S2, Scuffham P3, Tuffaha H4
1Center of Applied Health Economic, Griffith University, Riyadh, 01, Saudi Arabia, 2King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia, 3Griffith University, Brisbane, QLD, Australia, 4University of Queensland, Brisbane, QLD, Australia

OBJECTIVES: The emergence of national health technology assessment (HTA) agencies has increased the use of economic evaluation. The objective is to develop a country-specific approach for conducting economic evaluation as a specific component of HTA to determine the value for money of new interventions.

METHODS: A real-time Delphi survey was conducted using 17 items from the method component of the CHEERS II as the foundation of the Saudi guidelines. The consensus was obtained for the relevance of the guidelines recommendations to the Saudi healthcare system. We set a threshold of 80% for agreement and an interquartile range less than three, on a 9-point Likert scale. An interim analysis provided feedback for recommendations of items where there was “no consensus”. A natural language process (NLP) approach was employed to investigate the relationship between experts’ comments and consensus decisions.

RESULTS: A total of 78% participated, with an average response progress rate of 97.2%. The interim analysis provided a 63% adjustment rate for recommendations, with the majority requiring further clarification (65%). The guidelines concluded with a consensus on 76% of the recommendations, while four remained undetermined, including the choice of discount rate, using the same rate for both health benefits and costs, outcome selection and gross costing. The NLP results supported the consensus decision.

CONCLUSIONS: The expert consensus contributed to the development of informative guidelines relevant to the KSA. The guideline serves as a reference case, providing a foundation for HTA practices, reimbursement decisions and future research for the KSA and neighbouring countries.

Conference/Value in Health Info

2024-11, ISPOR Europe 2024, Barcelona, Spain

Value in Health, Volume 27, Issue 12, S2 (December 2024)

Code

HTA353

Topic

Health Technology Assessment, Methodological & Statistical Research

Topic Subcategory

Artificial Intelligence, Machine Learning, Predictive Analytics, Survey Methods, Value Frameworks & Dossier Format

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×