{"title":"Developing economic evaluation guidelines for the Kingdom of Saudi Arabia: Engagement of local experts","authors":"Fatma Maraiki , Tusneem Elhassan , Shouki Bazarbashi , Paul Scuffham , Haitham Tuffaha","doi":"10.1016/j.hlpt.2025.101042","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Economic evaluation has increased due to the emergence of national health technology assessment (HTA) agencies. This study aims to develop a country-specific guideline for conducting economic evaluation in the Kingdom of Saudi Arabia (KSA) as an HTA component to determine the value for money of new health interventions.</div></div><div><h3>Methods</h3><div>The study conducted a real-time Delphi survey using 17 items from the method component of the Consolidated Health Economic Evaluation Reporting Standards checklist as foundation for guidelines. Consensus was reached for the relevance of guideline recommendations for the KSA healthcare system. We set a threshold of 80 % for agreement and an interquartile range less than three on a nine-point Likert scale. Interim analysis provided feedback for recommendations of items if <em>no consensus</em> exists. A natural language processing (NLP) approach was employed to examine the relationship between experts’ comments and consensus decisions.</div></div><div><h3>Results</h3><div>The study recruited 78 % experts with an average response progress rate of 97.2 %. 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 recommendations, while four remained undetermined, namely, choice of discount rate, use of same rates for health benefits and costs, outcome selection, and gross costing. The NLP results supported the consensus decision.</div></div><div><h3>Conclusions</h3><div>Expert consensus contributed to the development of informative guidelines relevant to KSA. The guidelines serve as a reference case, thus providing a foundation for HTA practices, reimbursement decisions, and future research for the KSA and its neighboring countries.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 5","pages":"Article 101042"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221188372500070X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
Economic evaluation has increased due to the emergence of national health technology assessment (HTA) agencies. This study aims to develop a country-specific guideline for conducting economic evaluation in the Kingdom of Saudi Arabia (KSA) as an HTA component to determine the value for money of new health interventions.
Methods
The study conducted a real-time Delphi survey using 17 items from the method component of the Consolidated Health Economic Evaluation Reporting Standards checklist as foundation for guidelines. Consensus was reached for the relevance of guideline recommendations for the KSA healthcare system. We set a threshold of 80 % for agreement and an interquartile range less than three on a nine-point Likert scale. Interim analysis provided feedback for recommendations of items if no consensus exists. A natural language processing (NLP) approach was employed to examine the relationship between experts’ comments and consensus decisions.
Results
The study recruited 78 % experts with an average response progress rate of 97.2 %. 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 recommendations, while four remained undetermined, namely, choice of discount rate, use of same rates for health benefits and costs, outcome selection, and gross costing. The NLP results supported the consensus decision.
Conclusions
Expert consensus contributed to the development of informative guidelines relevant to KSA. The guidelines serve as a reference case, thus providing a foundation for HTA practices, reimbursement decisions, and future research for the KSA and its neighboring countries.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics