A structured methodology for essential medicines lists and health emergency stockpiles: experience with the Emergency Medicines Buffer Stock in the United Kingdom

Angelis, Aris ORCID: 0000-0002-0261-4634, Montibeller, Gilberto Neto and Kanavos, Panos ORCID: 0000-0001-9518-3089 (2023) A structured methodology for essential medicines lists and health emergency stockpiles: experience with the Emergency Medicines Buffer Stock in the United Kingdom. Social Science and Medicine, 337. ISSN 0277-9536

Text (A structured methodology for essential medicines lists and health emergency stockpiles: Experience with the Emergency Medicines Buffer Stock in the United Kingdom) - Published Version Available under License Creative Commons Attribution. Download (2MB)

• Scopus publication

Abstract

Introduction: Formularies of essential medicines, such as Essential Medicines Lists (EMLs) and health emergency stockpiles, are intended to be always available, including in emergency situations, acting as important tools for access to medicines. The Emergency Medicines Buffer Stock (EMBS) in the United Kingdom (UK) was a stockpile of critical medicines managed by the UK Department of Health and Social Care (DHSC). We propose a new methodology for selecting and including medicines in EMLs and health emergency stockpiles and empirically apply it for selecting medicines in the case of the UK EMBS. Methods: We used Multi-Attribute Value Theory and Portfolio Decision Analysis to develop a three-phase methodological framework for medicines selection, involving: (i) the decision context definition and selection of evaluation criteria, (ii) the therapeutic area prioritisation, and (iii) the medicines value-for-money evaluation and product selection. The EMBS application took place in 2018–2019 and focused on therapeutic area prioritisation, involving primary data collection through expert interviews (n = 4), a workshop with DHSC decision-makers (n = 13), and an online survey with National Clinical Directors and relevant experts (n = 24). A Monte Carlo simulation supported therapeutic area prioritisation using the British National Formulary (BNF) classification. Findings: Two criteria sets were selected for i) therapeutic area prioritisation, reflecting the value concerns of population need and shortage severity, and ii) medicines evaluation, reflecting magnitude of clinical benefit and supply vulnerability, among others. Primary evidence was collected for “national need” and “shortage severity”, based on which a “population health loss” index was developed. A total of 51 therapeutic areas were ranked using their index value while assessing the robustness of the ranking. The top ranked therapeutic area was antisecretory drugs and mucosal protectants, closely followed by diabetes drugs. Conclusions: The methodological application generated a ranking of therapeutic areas based on expected “population health loss” index, while addressing evidence uncertainty. The methodology can be adapted for other EMLs and emergency stockpile contexts to inform medicines selection.

Item Type:	Article
Additional Information:	© 2023 Elsevier
Divisions:	Health Policy
Subjects:	D History General and Old World B Philosophy. Psychology. Religion > B Philosophy (General) R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Date Deposited:	25 Oct 2023 23:25
Last Modified:	18 Nov 2024 22:48
URI:	http://eprints.lse.ac.uk/id/eprint/120538

Actions (login required)

View Item