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1.
Int J Technol Assess Health Care ; 40(1): e12, 2024 Feb 15.
Article in English | MEDLINE | ID: mdl-38357734

ABSTRACT

OBJECTIVES: To achieve universal health coverage (UHC), countries must make difficult choices to optimize the use of scarce resources. There is a growing interest in using evidence-based priority setting processes, such as Health Technology Assessment (HTA), to inform these decisions. In 2020, the Palestinian Institute of Public Health (PNIPH) and the Norwegian Institute of Public Health (NIPH) initiated a pilot to test the feasibility of coproducing an HTA on breast cancer screening in the West Bank, occupied Palestinian Territory. Additionally, a secondary aim was to test whether using an adaptive HTA (aHTA) approach that searched and transferred published evidence syntheses could increase the speed of HTA production. METHODS: The applied stepwise approach to the HTA is described in detail and can be summarized as defining a core team, topic selection, and prioritization; undertaking the HTA including adaptation using tools from the European Network for HTA (EUnetHTA) and stakeholder engagement; and concluding with dissemination. RESULTS: The aHTA approach was faster but not as quick as anticipated, which is attributed to (i) the lack of availability of local evidence for contextualizing findings and (ii) the necessity to build trust between the team and stakeholders. Some delays followed from the COVID-19 pandemic, which showed the importance of good risk anticipation and mitigation. Lastly, other important lessons included the ability of virtual collaborations, the value of capacity strengthening initiatives within low- and middle-income countries (LMICs), and the need for early stakeholder engagement. Overall, the pilot was successfully completed. CONCLUSION: This was the first HTA of its kind produced in Palestine, and despite the challenges, it shows that HTA analysis is feasible in this setting.


Subject(s)
Arabs , Technology Assessment, Biomedical , Humans , Feasibility Studies , Pandemics , Middle East
2.
Health Syst Reform ; 9(3): 2330112, 2023 Dec 31.
Article in English | MEDLINE | ID: mdl-38715199

ABSTRACT

All health systems must set priorities. Evidence-informed priority-setting (EIPS) is a specific form of systematic priority-setting which involves explicit consideration of evidence to determine the healthcare interventions to be provided. The international Decision Support Initiative (iDSI) was established in 2013 as a collaborative platform to catalyze faster progress on EIPS, particularly in low- and middle-income countries. This article summarizes the successes, challenges, and lessons learned from ten years of iDSI partnering with countries to develop EIPS institutions and processes. This is a thematic documentary analysis, structured by iDSI's theory of change, extracting successes, challenges, and lessons from three external evaluations and 19 internal reports to funders. We identified three phases of iDSI's work-inception (2013-15), scale-up (2016-2019), and focus on Africa (2019-2023). iDSI has established a global platform for coordinating EIPS, advanced the field, and supported regional networks in Asia and Africa. It has facilitated progress in securing high-level commitment to EIPS, strengthened EIPS institutions, and developed capacity for health technology assessments. This has resulted in improved decisions on service provision, procurement, and clinical care. Major lessons learned include the importance of sustained political will to develop EIPS; a clear EIPS mandate; inclusive governance structures appropriate to health financing context; politically sensitive and country-led support to EIPS, taking advantage of policy windows for EIPS reforms; regional networks for peer support and long-term sustainability; utilization of context appropriate methods such as adaptive HTA; and crucially, donor-funded global health initiatives supporting and integrating with national EIPS systems, not undermining them.


Subject(s)
Health Priorities , International Cooperation , Humans , Developing Countries
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