To conduct a situational analysis with the aim to inform future health technology assessment efforts (HTA) in Egypt. The Egyptian government has set universal health coverage as a 2030 target. Several agencies have been created in the context of the ongoing healthcare reform. The Egyptian Authority for Unified Procurement, Medical Supply and the Management of Medical Technology (UPA) is one of them and was established to support strategic procurement using HTA. Description of the development of HTA in Egypt supported by a literature search as part of a scoping exercise, and a stakeholder analysis and identification of HTA capacity survey, based on previous surveys, with relevant stakeholders conducted in 2022. This was followed by a stakeholder event where results were shared and further contextualized. The UPA is expected to evaluate the cost-effectiveness of health technologies and public health programs. The HTA process is being developed, focusing on the assessment of the value of new pharmaceuticals being introduced to the Egyptian market. A total of 16 participants responded on behalf of their organizations to the stakeholder analysis and identification of HTA capacity survey. More than 80% of the respondents were familiar with current efforts conducted by UPA and strongly support the implementation of HTA in Egypt. Transparency was highlighted as an important criterion. Over 90% of the respondents mentioned economic analyses as an HTA product being developed in Egypt, and medicines were the type of technology that stakeholders ranked as first in the rank of health technologies that need the output from HTA urgently. Capability building and training were highlighted as areas in which further support is required. This study represents the first attempt to describe the current path for HTA in Egypt. There seems to be momentum in Egypt to proceed and advance with HTA institutionalization. It would be important that next steps are built on the skills and capabilities already in place in Egypt, ensure methods and processes are in place and up to date and involve the wider system in Egypt so stakeholders can appropriately contribute and participate in the HTA process.
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http://dx.doi.org/10.3389/fphar.2022.1014658 | DOI Listing |
Objective: The cost-effectiveness of neoadjuvant pembrolizumab + chemotherapy followed by adjuvant pembrolizumab compared to neoadjuvant chemotherapy plus placebo followed by adjuvant placebo was assessed in high-risk, early-stage, triple-negative breast cancer patients from an Egyptian societal perspective over a lifetime horizon.
Methods: A 4-state Markov cohort model was developed to compare the cost-effectiveness of pembrolizumab + chemotherapy/pembrolizumab vs chemotherapy alone for the treatment of high-risk, early-stage, triple-negative breast cancer. The model simulated the clinical course of high-risk, early-stage, triple-negative breast cancer across four health states: event-free survival, locoregional recurrence, distant metastasis, and death.
Int J Health Policy Manag
December 2024
Department of Science, Information and Dissemination, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Value Health
November 2024
Institute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Center for Health Decision Science, Harvard University, Boston, MA, United States.
Objective: To provide an introduction to the uses of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), in the field of health technology assessment (HTA).
Methods: We reviewed applications of generative AI in three areas: systematic literature reviews, real world evidence (RWE) and health economic modeling.
Results: (1) Literature reviews: generative AI has the potential to assist in automating aspects of systematic literature reviews by proposing search terms, screening abstracts, extracting data and generating code for meta-analyses; (2) Real World Evidence (RWE): generative AI can facilitate automating processes and analyze large collections of real-world data (RWD) including unstructured clinical notes and imaging; (3) Health economic modeling: generative AI can aid in the development of health economic models, from conceptualization to validation.
Glob J Qual Saf Healthc
November 2024
Pharmacoeconomic Committee, Egyptian Drug Authority, Cairo, Egypt.
Introduction: To improve resource allocation within our healthcare system, the Egyptian Authority for Unified Procurement, Medical Supply and the Management of Medical Technology (UPA) and Universal Health Insurance Authority (UHIA) established a joint economic evaluation process to support UHIA reimbursement decisions and UPA procurement decisions. The main objective of this study is to describe the developed national pharmacoeconomic guidelines in Egypt, especially for reimbursement and procurement for new pharmaceuticals.
Methods: A focus group was formed as a national initiative activity by governmental authorities in Egypt.
Int J Technol Assess Health Care
November 2024
Science Evidence and Analytics Directorate, National Institute for Health and Care Excellence, UK.
Objectives: The sandbox approach, developed in the financial technologies sector, creates an environment to collaboratively develop and test innovative new products, methods and regulatory approaches, separated from business as usual. It has been used in health care to encourage innovation in response to emerging challenges, but, until recently, has not been used in health technology assessment (HTA). This article summarizes our learnings from using the sandbox approach to address three challenges facing HTA organizations and to identify implications for the use of this approach in HTA.
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