Introduction: In recent periods the United Arab Emirates (UAE) has strengthened economic measures in its pharmaceutical policy by promoting local manufacturing and facilitating the use of generic medicines. International examples indicate the importance of quality control elements in the implementation of cost containment policies. Multicriteria Decision Analysis (MCDA) is increasingly used in health care to facilitate health care decision based on multiple objectives. Our objective was to develop a pilot MCDA tool for repeated use to support the value-based purchasing of generic medicines in the UAE.Methods: An international evidence framework was adapted to UAE in a multistakeholder workshop organized by Dubai Health Authority. After validating the relevance of nine criteria in the local jurisdiction, participants decided the ranking and weight of each criterion by anonymous voting.Results: The top four criteria focused on quality elements starting with real-world clinical or economic outcomes (with 19.8% weight), followed by the quality assurance of manufacturing (17.3%), then evidence on the equivalence with the original product (14.8%), and drug formulation and stability (12.3%). The pharmaceutical acquisition cost criteria ranked fifth with 9.4% weight. The bottom four criteria, including reliability of drug supply, macroeconomic benefit, pharmacovigilance and added value services related to the product had similar weights in the range of 5.5–7.7%.Conclusion: Policy-makers in Dubai put high emphasis of value-based health care by incentivizing manufacturers of off-patent pharmaceuticals to generate additional scientific evidence compared to the mandatory minimum and acknowledging efforts to improve quality standards. The MCDA tool is considered suitable to improve the transparency and consistency of decision making in UAE for off-patent pharmaceuticals, and subsequently for other health technologies.
Background Pneumonia is a significant cause of morbidity and mortality among adults globally. This retrospective cohort analysis assessed the pneumonia burden and related healthcare resource utilization and costs in the at-risk (low, medium, and high-risk) adult patients in Dubai, United Arab Emirates (UAE). Methods The claims data from January 1, 2014 to June 30, 2019 were extracted from the Dubai Real-World Claims Database for patients, aged ≥18 year, having at least 1 pneumonia claim. Data for the inpatient, outpatient and emergency visits were assessed for 12-months, before (pre-index) and after (follow-up) a pneumonia episode. Healthcare costs were calculated based on dollar value of 2020. Results Total 48,562 records of eligible patients were analyzed (mean age = 39.9 years; low [62.1%], medium [36.2%] and high [1.7%] risk cohorts). Mean all-cause healthcare costs were approximately >45% higher in the follow-up period (1,947 USD/patient) versus pre-index period (1,327 USD/patient). During follow-up period, the mean annual pneumonia incidence rate was 1.3 episodes, with a similar pattern across all cohorts. Overall, mean claims and costs (USD) per patient (all-cause) were highest in the high-risk cohort in the follow-up period (claims: overall, 11.6; high-risk, 22.0; medium-risk, 13.9; low-risk, 9.9; costs: high-risk, 14,184; medium-risk, 2,240; low-risk, 1,388). Similarly, the mean pneumonia-related costs (USD) per patient were highest for the high-risk cohort (overall: 1,305; high-risk, 10,207; medium-risk, 1,283; low-risk, 882), however, the claims were similar across cohorts (claims/patient: overall: 2.0; high-risk, 1.9; medium-risk, 2.2; low-risk, 1.9). Most all-cause and pneumonia-related costs were due to inpatient visits (4,901 and 4,818 USD respectively), while outpatient (1,232 and 166 USD respectively) and emergency visits (347 and 206 USD respectively) contributed significantly lesser. Conclusions Pneumonia imposes a significant healthcare burden in the UAE, especially in the high-risk patients with severe comorbidities. These findings would guide clinicians and policy makers to make informed decisions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.