COVID-19 "Round 2" - Findings & way forward - Summary June 12th, 2020 - Efpia
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Legal disclaimer – This report is preliminary. Analyses and conclusions may change subject to additional data. – To the fullest extent permitted by law, no representation or warranty, express or implied, is or will be made and no responsibility, duty or liability is or will be accepted by Medicines for Europe or Kearney, any other person or by any of their respective directors, officers, servants, advisers, agents or affiliates as to or in relation to the accuracy, sufficiency, reliability or completeness of this document or the information forming the basis of this document or for any errors, omissions or misstatements relating thereto. – Neither Medicines for Europe nor Kearney, nor any other person accepts any duty of care nor undertakes any obligation to provide the recipient with access to any additional information or to update this document or additional information, or to correct any inaccuracies herein which may become apparent. 2 Source: Medicines for Europe; Kearney
Objectives of this document Briefly introduce scenario planning for a potential second COVID-19 wave Compare supply vs. demand for the next months under various scenarios Present results from API survey 3 Source: Medicines for Europe; Kearney
1. Executive Summary 2. Demand 3. Supply vs. demand 4. API Survey 4
1 2 3 Executive summary We have developed … EU/ EEA shortage …preliminary analyses three scenarios for a during the summer suggest a second second COVID-19 wave months is unlikely, COVID-19 wave may hit indicating that... but… member states hard! Scenario planning The available data Preliminary analyses suggests that indicates that suggest that – A best case, base – Stock levels will drop – Shortages in Oct/ Nov case and worst case significantly from their are a real possibility, could occur peaks in May especially for NMBs – Governments need to – But a shortage of any – The industry needs a consider additional class of molecules clear demand signal factors (e.g., tourism) during June, July and from member states to in their planning August is unlikely prepare adequately 5 Source: Medicines for Europe; Kearney
1. Executive Summary 2. Demand 3. Supply vs. demand 4. API Survey 6
Demand Estimations are based on the following: forecasting model – This calculator is not an epidemiology model. The inputs, such as projected deaths, no. of days on Legal disclaimer ventilation, choice of ventilation medicines are based on the available information as well as expert and academic opinion. – This calculator is not a prediction of the expected effects of COVID-19. – This model was created solely to estimate the potential demand for critical medicines due to Covid-19. – The parameters in the scenario are estimates intended to support public health preparedness and planning. – These inputs and corresponding outputs may not reflect the reality of what users will ultimately see. – The forecasting does not reflect the impact of any behavioral changes, social distancing, or other interventions. – Users are discouraged from drawing strong conclusions about deaths or new cases on the basis of these estimates. – To the fullest extent permitted by law, no representation or warranty, express or implied, is or will be made and no responsibility, duty or liability is or will be accepted by Accord, Kearney or Medicines for Europe, any other person or by any of their respective directors, officers, servants, advisers, agents or affiliates as to or in relation to the accuracy, sufficiency, reliability or completeness of this document or the information forming the basis of this document or for any errors, omissions or misstatements relating thereto. – Neither Accord, nor Kearney, nor Medicines for Europe, nor any other person accepts any duty of care nor undertakes any obligation to provide the recipient with access to any additional information or to update this document or additional information, or to correct any inaccuracies herein which may become apparent. 7 Source: Medicines for Europe; Accord Healthcare; Kearney
A model was Demand forecasting model developed to – Initially developed by Medicines for Europe and Accord Healthcare for the first COVID-19 wave estimate the – Enhanced with additional parameters by Kearney for a potential second COVID-19 wave demand of critical medicines for a potential second COVID-19 wave Approach Data sources Key assumptions – Favoring overestimation of – Actual data of number of daily – Herd immunity will not be cases due to the fact that the deaths as of May 21st 2020 achieved by any country risk of underestimating is during first COVID-19 wave higher than the risk of – Worldometer Coronavirus overestimating reports – Individual country responses to a second – Not reflecting the impact of – WHO Situation Reports COVID-19 wave will be any behavioral changes, social – Expert opinions identical to responses to the distancing, or other first wave interventions which could – Secondary research, e.g. – The development of the influence case numbers – Robert-Koch-Institute, second COVID-19 wave will be Germany – Not addressing the impact of similar to the first wave tourism potentially occurring in – International Long-Term Care late summer/ early autumn Policy Network – Only COVID-19 related deaths (https://ltccovid.org/) occurring in ICUs will cause – Using number of reported – ICNARC – Intensive Care demand in critical medicines deaths per country as base National Audit & Research for estimation – Number of daily deaths will Centre decrease around 28-days – Using three different – Various scientific articles post-lockdown parameters to plan for future (e.g., Grasselli et al., JAMA; demand scenarios (# deaths, Bhatraju et al., NEJM) MV usage, treatment duration) 8 Source: Medicines for Europe; Accord Healthcare; Kearney
Selected scenario overview for a second COVID-19 wave Three different Key characteristics scenarios – best, base and worst case – will indicate Best Case Base Case Worst Case medicines demand Scenario for a potential illustration for Lowest absolute Likely demand (kg) Highest likely second COVID-19 molecule demand demand (kg) demand (kg) wave # of new deaths - 50% Same + 50% vs. first wave Model parameters % patients 50% 50% 100% on MV Treatment Likely duration Total # new ICU patients (October 1st – 33’153 66’306 99’459 November 30th 2020) 9 Source: Kearney
Expected number of new COVID-19 ICU patients per million inhabitants (01.10.-30.11.2020) 13 26 39 Even countries Austria Belgium 166 331 497 that were less Bulgaria 5 10 14 affected in a first Croatia 2 5 11 3 16 5 Cyprus COVID-19 wave Czechia 6 13 19 need to prepare Denmark 25 50 76 Estonia 11 22 32 for a potential Finland 14 27 41 second wave France 82 164 245 Germany 18 35 53 Greece 3 6 9 Hungary 16 32 49 Iceland 5 11 16 Ireland 60 121 181 Italy 81 162 243 Illustrative – Latvia 3 6 9 based on data from 21.05.2020 Lithuania 5 10 15 Luxembourg 35 69 104 Malta 3 6 9 Netherlands 66 132 198 Norway 6 11 17 Poland 6 13 19 Portugal 30 60 89 Romania 14 28 43 Slovakia 1 2 4 Slovenia 12 24 36 Spain 57 114 172 Sweden 95 191 286 Switzerland 36 73 109 UK 185 370 555 10 Source: Medicines for Europe; Kearney Best case Base case Worst case
Governments Illustration “Tourism factor”: Explanation should consider a Example: – Situation: “tourism factor” Tourism in Greece during summer months – Popular holiday destinations are likely to re- open for tourists during summer months when planning for – This is currently not figured into the second a second wave projection COVID-19 wave – Impact: – Population within holiday destination will grow by factor X during summer months – Number of cases will be larger than assumed in the model (due to increased number of visitors) for both host and destination country Illustrative – Example: – Greece had 28mn visitors in 2018, which is almost 3x its population – Tourism numbers for 2020 are likely to be significantly lower – Assuming around 10mn visitors in the summer of 2020 would double Greece’s population susceptible to a COVID-19 infection – Recommendations: – Governments should include a “tourism factor” in planning for second COVID-19 wave – This factor needs to consider tourists within Tourism streams the country as well as returning citizens 11 Source: Medicines for Europe; Kearney
1. Executive Summary 2. Demand 3. Supply vs. demand 4. API Survey 12
Demand was Reported supply vs. – Two scenarios: extrapolated supply – Only actual supply reported back by MAH compared against supply under – Actual supply reported back by MAH, extrapolated to full market size (based on 2019 twelve different figures) scenarios Second wave scenario – Three scenarios: planning – Best case: lowest absolute demand – Base case: likely demand – Worst case: highest likely demand Available supply for – Two scenarios: COVID-19 patients – Avg. 50 % of supply available for COVID-19 – Avg. 75 % of supply available for COVID-19 13 Source: Medicines for Europe; Kearney
1 2 3 Summary: The summer months should be used to restock in preparation for a potential second COVID-19 wave in autumn The industry scaled The industry However, in the up supplies analysis, based on event of a second massively during experts’ wave in autumn, April/ May 2020 – hypotheses, there are supply however, this may suggests risks for Europe, not be maintained shortages across most poignantly in over the summer Europe are less neuromuscular months! likely during the blockers. summer months. 14 Source: Medicines for Europe; Kearney
1. Executive Summary 2. Demand 3. Supply vs. demand 4. API Survey 15
Our survey of We asked MAH the following question: participating MAH “Do you experience notable API suggests that API challenges that pose a significant challenges threat to manufacturing in terms currently do not of quantity, quality or time of seem to pose a delivery?” major risk for the industry Illustrative; data based on 08.06.2020 Results Implications – Only few manufacturers report at least – Generally, API supply does not seem one notable API challenge to be a major risk factor – These are restricted to neuromuscular – However, capacity constraints may blockers and sedatives cause manufacturing bottlenecks – Common themes are short-term – This conclusion needs to be supplier capacity, committed volumes corroborated from the perspective of and own use of API by supplier non-EU manufacturers 16 Source: Medicines for Europe; Kearney
This document is exclusively intended for selected client employees. Distribution, quotations and duplications – even in the form of extracts – for third parties is only permitted upon prior written consent of Kearney. Kearney used the text and charts compiled in this report in a presentation; they do not represent a complete documentation of the presentation. Image by Ch. Germino
1. Appendix 18
Key model Rationale and sources for key demand model parameters Non-exhaustive, high-level parameters were defined using various sources, Model Rationale Key sources parameter including from governmental Number of – The number of deaths is a more reliable – Worldometer COVID-19 indicator than the number of cases agencies related deaths % of COVID-19 – Only patients who are admitted to ICU – Robert-Koch-Institute, Germany related deaths consume ICU medicines – therefore, patients – International Long-Term Care in hospital who died outside of hospitals should not be Policy Network included – ICNARC – Intensive Care National Audit & Research Centre MV rates for – There is a mounting trend towards putting – Grasselli et al., JAMA, 2020 COVID-19 fewer patients with COVID-19 on MV as an – Bhatraju et al., NEJM, 2020 patients adverse impact on treatment outcome as been – Yang et al., Lancet Resp Med, observed in some studies 2020 – A 50% MV rate was used as a “lower-bound” – Wang et al., Annals of Intensive estimate based on available studies Care, 2020 – All patients not on MV are assumed to be on – Gattinoni et al., AJRCCM, 2020 non-invasive ventilation – Clinical experts ICU treatment – Dosage and duration of ICU treatment differs – Clinical experts from various by molecule class countries – Country-specific differences need to be – Various scientific articles (e.g., “averaged out” Grasselli et al., JAMA, 2020) 19 Source: Medicines for Europe; Kearney
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