Research and analysis

Life science competitiveness indicators 2022: user guide

Published 21 July 2022

This document accompanies the Life science competitiveness indicators 2022 report and outlines the methodology behind the indicators. For each section of the report, it provides detail on:

• Changes to the metrics compared to previous LSCIs reports

• Data sources used for the metrics

• The methods used and what should be noted when interpreting the report

Data tables

The underlying data behind the charts can be found in the accompanying Life science competitiveness indicators 2022: data tables.

Metrics included in the LSCIs

The LSCIs this year have also been published alongside an accompanying document, Life science competitiveness indicators 2022: life science ecosystem, which outlines the set of interacting elements impacting the life science ‘value chain’, which comprises the activities carried out by the key players in the sector to achieve the twin goals of improving UK health outcomes and achieving economic growth.

The LSCIs have been aligned to the elements of the life science ecosystem they intend to measure. Please see the accompanying life science ecosystem document for more details.

Comparator countries

Where possible, comparisons are made between the UK and countries with similar levels of economic development . This aim is restricted in many cases by data availability. The visualisations in this report aim to compare the UK to the top comparator countries in each area (where data availability allows); further data for all comparator countries is available in the accompanying Life science competitiveness indicators 2022: data tables.

Research and development (R&D)

Changes from previous reports

• Government budget allocations for health R&D are now presented as a percentage of GDP

• Business expenditure on pharmaceutical R&D is now presented as a percentage of GDP

• Non-industry spend on R&D in the UK has been replaced by Gross domestic expenditure on R&D performed by the private non-profit sector as a percentage of GDP

• A new metric reports Gross domestic expenditure on medical and health sciences R&D performed by the higher education sector as a percentage of GDP

Figures for the discontinued metric on non-industry spend on R&D in the UK are available publicly through the Association of Medical Research Charities (AMRC) dashboard on R&D expenditure. The AMRC data refers to R&D funded by health charities, while the new metric for the private non-profit sector relates to R&D performed by the sector; the 2 figures are therefore not directly comparable.

Data source

The following list of indicators are all sourced from the Organisation for Economic Cooperation and Development (OECD) Science, Technology and Patent statistics (for the UK these figures are provided by the Office for National Statistics (ONS) to OECD):

• Government budget allocations for health R&D as a percentage of GDP

• Gross domestic expenditure on medical and health sciences R&D performed by Government as a percentage of GDP

• Gross domestic expenditure on R&D performed by the private non-profit sector as a percentage of GDP

• Gross domestic expenditure on medical and health sciences R&D performed by the higher education sector as a percentage of GDP

Gross domestic expenditure on pharmaceutical R&D performed by business enterprises (UK only) as a percentage of GDP is sourced from ONS’s Business Expenditure on R&D publication.

The estimates of GDP used in this section are also sourced from OECD’s Science, Technology and Patent statistics.

Methodology

R&D can be measured by the expenditure on R&D performed by an organisation, or the amount of R&D funded by the organisation. Funding received to perform R&D can come from the organisation itself, organisations within the same sector, or a separate sector of the economy. More information on the flows between R&D funded and performed in the UK can be found in the ONS publication on Gross Domestic Expenditure on R&D, covering R&D across all industries in the UK.

The LSCIs consider R&D expenditure directly performed by the life science sector or R&D that influences the life science ecosystem, where available.

The LSCIs report the amount of R&D relevant to certain aspects of life sciences performed by government, higher education, private non-profit, and business sectors. These are the 4 sectors of the economy defined in the Frascati Manual 2015. R&D data for these sectors is referred to collectively as gross domestic expenditure on R&D (GERD).

It is not possible to provide a country ranking for expenditure on life sciences R&D performed by business but data is presented for R&D on pharmaceuticals for the UK only. This will not be comprehensive of all life science R&D and will exclude things such as R&D on medical technology. International data is available for expenditure on medical and health science R&D performed by the government and higher education sectors.

Medical and health sciences is a subject classification of Field of Research and Development (FORD) used in the of the OECD Frascati Manual 2015. This includes the following second-level classifications:

• Basic medicine

• Clinical medicines

• Health sciences

• Medical biotechnology

• Other medical sciences

The private non-profit estimates are for R&D across all industries and not exclusively medical and health sciences. In the UK, the private non-profit R&D sector comprises mainly medical research charities, and it is assumed that the majority of private non-profit R&D will be in life sciences fields. This is not necessarily the case for other countries and the corresponding figures may include R&D outside life science to some degree.

Medical and health sciences is defined as a subject classification in the OECD Frascati Manual 2015

Government budget allocations for R&D (GBARD) on health are included in the indicators, as budget allocations can provide a more timely indication of how R&D is changing over time, particularly for sectors highly reliant on government funding, such as higher education. Health R&D is a classification of socio-economic objective as defined in the OECD Frascati Manual 2015. This is defined by the primary objective of the R&D.

R&D metrics in the LSCIs are presented as a percentage of Gross Domestic Product (GDP). The UK Government committed to increase R&D investment to 2.4% of GDP by 2027, in the UK innovation strategy: leading the future by creating it.

Clinical trials

Changes from previous reports

The metric on turnaround time for clinical trial set up as been replaced from:

• Median time from core package received to first patient enrolled in country (all trial phases)

to

• Median time from clinical trial application to a regulatory authority and first patient receiving a first dose

This is to incorporate the end-to-end time it takes to review and set up a clinical trial in the given comparator countries. The previous metric for ‘Time from core package received to first patient enrolled in country (all trial phases)’ and an updated data point for 2020 is available in the accompanying Life science competitiveness indicators 2022: data tables but this will not be possible to provide in future reports. The definition of the current and previous milestones used in the metric are outlined in the table below.

Table 1: milestone definition for current and previous LSCI reports on clinical trial turnaround times

LSCI metric prior to 2022	LSCI metric in 2022 and future reports
Core package received: Milestone date on which the final documentation relating to the clinical study is received within a participating country by the local operating company or their representative. This includes but is not restricted to documents such as the protocol, investigator brochures, informed consent and the Certificate of pharmaceutical product (CPP) document (if required). For some companies this date may coincide with the ‘Protocol Approved internally’ date.	Clinical trial application to a regulatory authority: This is the date on which the documentation for the clinical study was first submitted to the first authority within a country. The authority may be an Institutional Review Board or regulatory authority. This metric will take the date which occurred earlier if there are multiple submissions to separate bodies.
First patient enrolled: This is the date on which the first patient signed the consent form, irrespective of the study centre and whether randomised or not, and will be used for the beginning of enrolment.	First patient receiving a first dose: This is the date of the first dose of active substance or placebo for the study, following the recording of baseline measurements, for the first patient. This is intended to refer to the start of the treatment phase.

Data source

Data for both metrics on ‘Time from clinical trial application to a regulatory authority to first dose to first patient (all trial phases)’ and ‘Share of recruits to global clinical trials’ are both collected from 2021 Centre for Medicines Research (CMR) Global Clinical Performance Metrics, Clarivate. This includes data from 25 companies that participated in data collection activities. Of the 25 companies, 14 companies were classified as Major Pharma having an annual R&D expenditure of more than $2 billion. The remaining 11 companies were classified as Mid Pharma having an annual R&D expenditure of less than $2 billion.

On receipt by CMR International, data were audited and checked with participants if anomalies were found. The audited data were then used for creating the outputs.

The Global Clinical Performance Metrics Programme has been annually gathering clinical performance metrics information for the past 20 years and the total dataset includes around 30,000 trials and over 100,000 trial country level records.

Data for table 3 in the main report for the median number of days for commercial clinical trial approval in the UK by whether they were reviewed through combined review is management information sourced from the Health Research Authority (HRA).

Methodology

Clinical trial data extracted from CMR only considers:

• Commercial trials: trials where a pharmaceutical company was the sponsor

• Interventional trials: where a new medicine is tested in participants

• Trials for novel medicines: newly launched medicines or recently launched for a new indication

As a result, the data in this report for share of patients and time from regulatory application to first patient first dose will not include non-commercial studies or observational studies.

Data from CMR is collected from 25 pharmaceutical companies and as a result is a subset of all commercial trials conducted across the comparator countries. The number of trials included in the analysis for each metric is available in the accompanying Life science competitiveness indicators 2022: data tables.

Data from CMR includes all therapeutic areas and the below trial phases:

Table 2: Trial phases included in the CMR data and definitions

Phase	Phase definition
Phase I (in healthy volunteers)	Studies conducted in healthy human volunteers. This can include but is not limited to dose-ranging (single or multiple ascending dose), tolerability, pharmacokinetic, pharmacodynamic, metabolic and drug/food interactions studies
Phase Ip	Phase I studies conducted in patients with the target disease either with the intention of treating the disease (meaning to show a treatment effect) or pharmacokinetic testing or dose response studies where the intention is not to treat the disease
Phase II	Phase II studies are early controlled studies in a limited number of patients under closely monitored conditions to show efficacy and short-term safety. An important goal for this phase is to determine the dose(s) and regimen for Phase III studies. Additional objectives of clinical studies conducted in Phase II may include evaluation of potential study endpoints, therapeutic regimens (including concomitant medications) and target populations (such as mild versus severe disease) for further study in Phase II or III
Phase II a	Phase II studies which are initiated prior to clinical proof of concept
Phase II b	Phase II studies which are initiated after clinical proof of concept
Phase III	Phase III studies usually have the primary objective of demonstrating, or confirming therapeutic benefit. Phase III studies are designed to confirm the preliminary evidence accumulated in Phase II that a drug is safe and effective for use in the intended indication and recipient population. These studies are intended to provide an adequate basis for marketing approval
Phase III a	Phase IIIa studies are conducted after the efficacy of a drug is demonstrated, but prior to regulatory submission
Phase III b	Phase IIIb clinical studies are conducted following regulatory submission of a dossier, but prior to approval and launch
Post-marketing/post-approval commitment (PMC/PAC) clinical study	Any Phase IV clinical study that companies commit to at the time of approval, as required by or agreed with the regulatory authority

For the UK, clinical trials need to be approved by both the Medicines and Healthcare products Regulatory Agency (MHRA) and the Research Ethics Service (RES) provided by the Health Research Authority (HRA). More information on approval from MHRA can be found at Clinical trials for medicines: apply for authorisation in the UK and from HRA at Research Ethics Service and Research Ethics Committees.

As of 2022, all trials applications in the UK are subject to combined review from MHRA and HRA, however this will not be entirely reflected in the figures presented due to the data only running up to the end of 2020. Before 2022, applications could be initially submitted to either body, with the timelines for approval not necessarily being sequential or through the combined review process.

The starting point for the metric takes the date for which body the applicant submitted to first for trials that were not approved through combined review.

Data is extracted from Clarivate’s CMR database annually for the most recent time period only. As a result, the data in the time series is not back dated with more recent information if it becomes available after extraction.

Data for table 3 in the main report (the median number of days for commercial clinical trial approval in the UK for trials that were/weren’t reviewed through combined review) is management information sourced from HRA. This also includes only commercial trials that were Clinical Trial of an Investigational Medicinal Product (CTIMP), the vast majority will be interventional as opposed to observational studies. This data also includes all trial phases as outlined in table 2.

Citations

Changes from previous reports

Previous iterations of this publication only had citations data up to and including 2014; this was because the publication previously used as a data source ceased to provide figures at the required level of granularity. Scival, a research intelligence platform for tracking research activity, was identified as a new data source for this metric, meaning life science citations data up to 2021 is now available.

The second citations metric in this publication (‘output in the top 1% citation percentile (%)’) differs to the ‘Share of top 1% (most cited) life sciences academic citations’ metric from previous publications in that it measures the proportion of each country’s life science publications that were amongst the top 1% most cited globally, rather than the share of the pool of top 1% most cited publications attributed to each country.

Data source

The data source for the 2 citations metrics is Scival, a web-based analytics solution providing access to research performance data. The main source of data for Scival is a citations database named Scopus.

Methodology

For the 2 citations metrics, the Field of Research and Development (FORD) subject classification used in the Frascati Manual 2015 of the OECD is used. The data is filtered by this classification to acquire research performance data for ‘medical sciences’ publications for the UK and each of the comparator countries. The ‘medical sciences’ classification consists of the following second-level classifications:

• basic medicine

• clinical medicine

• health sciences

• medical biotechnology

• other medical science

The ‘Percentage share of global medical sciences academic citation count’ metric is calculated by taking the medical sciences citation count for each country and dividing by the world total medical sciences citation count.

The ‘output in the top 1% citation percentile (%)’ metric is calculated by taking the number of medical sciences publications for each country which are amongst the top 1% most cited globally as a proportion of that country’s total scholarly output (total publication count).

Scival updates on a weekly basis, and citations-based data is likely to differ depending on when the data was extracted, as citations accumulate over years and are ever changing. The citations data presented here was correct as of the date of extraction from Scival on 24 June 2022.

Patents

Changes from previous reports

This metric was published in the LSCIs for the first time in the 2022 report and did not feature in past reports.

Data source

The data source for this metric is PATSTAT, a worldwide patent statistical database provided by the European Patent Office (EPO).

Methodology

To identify and extract life science related patents from EPO’s data, a search strategy was developed in collaboration with colleagues from the Intellectual Property Office. This search strategy was broadly based upon the following 4 WIPO35 technology fields), which are designed using groupings of International Patent Classification (IPC) areas:

• 11: Analysis of biological materials

• 13: Medical technology

• 15: Biotechnology

• 16: Pharmaceuticals

A number of additional inclusions and exclusions were made to align our search strategy more closely with the definition of life sciences used in the OLS report on the Bioscience and Health Technology Sector Statistics (BaHTSS) - for more information see the BaHTSS user guide. This involves excluding patents related to cosmetics and veterinary products, and including patents relating to items not covered by the above 4 categories, such as surgical gowns and facemasks.

For this metric, the UK’s data is given alongside a selection of comparator countries consisting of other G7 countries, BRICS countries (Brazil, Russia, India, China and South Africa), and Switzerland.

The relative specialisation index (RSI) is based on the country in which a patent was filed (rather than the applicant country). Filing country can be used to infer intended markets for a product, and as an indication of where a product may be manufactured. Therefore RSI is indicative of the extent to which a country is a ‘specialist hub’ for marketing/manufacturing life science products.

It’s important to note that RSI is only one of many ways of measuring specialism, and it should not be used in isolation to evaluate the UK’s innovation/inventiveness in life sciences.

RSI for country ‘c’ in technology ‘t’ is defined as:

Where:

• nc,t = number of patent filings for country c in technology t

• nt = sum of patent filings in all countries in technology t

• Nc = number of patent filings for country c

• N = sum of patent filings fo all countries

Access to medicines

Changes from previous publications

There are 2 metrics presented on access:

• Percentage of new medicines made available

• Median time to availability for new medicines

These have replaced previously reported data for England on the Speed and volume of NICE Technology Appraisals in previous versions of the LSCIs publication. These have been replaced to allow an international comparison of access to new medicines through a standardised methodology. The figures reported in the WAIT indicators differ from the metrics previously reported due to methodological differences outlined in table 3.

Table 3: Summary of differences in coverage for variables used to calculate new and previously reported access metrics for England

Metric	Area of coverage	LSCI 2022 report	LSCI reports before 2022
Percentage of medicines available (or volume of NICE Technology Appraisals before 2022) and time to availability (or speed of NICE Technology Appraisals before 2022)	Source	EFPIA W.A.I.T Indicators	Based on NICE Key Performance Indicator (KPI) data
Percentage of medicines available (or volume of NICE Technology Appraisals before 2022)	Cohort of medicines	New active substances that received central marketing authorisation under the EMA central authorisation process. This excludes medicines that have previously been appraised for a different indication with an exception for medicines for rare diseases.	All appraisals conducted by NICE
Percentage of medicines available (or volume of NICE technology appraisals before 2022)	Availability of a medicine	Positive recommendation (recommended or optimised) from NICE, for the remaining medicines, IQVIA sales data are analysed to determine if routinely available	Positive recommendations from NICE (recommended or optimised) were reportedly separately
Time to availability (or speed of NICE Technology Appraisals before 2022)	Cohort of medicines	New active substances (as in the rate of availability metric) that have received a positive NICE recommendation or found to be routinely available from IQVIA sales data	New active substances excluding topics delayed due to reasons beyond NICE’s control (for example, NICE requested by technology owner to withdraw or pause assessment)
Time to availability (or speed of NICE Technology Appraisals before 2022)	Starting point	Date of central marketing authorisation in Europe	Date of marketing authorisation
Time to availability (or speed of NICE Technology Appraisals before 2022)	End point	Oncology medicines: date final guidance was issued by NICE. Non-oncology medicines: date final guidance was issued by NICE + 90 days	Date final guidance was issued by NICE
Time to availability (or speed of NICE Technology Appraisals before 2022)	Summary statistic	Median	Mean

The previous metric for the volume of NICE technology appraisals can be found at Technology appraisal data: appraisal recommendations. The previous metric for speed of NICE technology appraisals is no longer available as NICE have changed the methodology behind their KPI.

Data source

Data on the metrics percentage of new medicines available and time to availability for new medicines is collated from the EFPIA Patients W.A.I.T (Waiting to Access Innovative Therapies) Indicator Survey which is publicly available through EFPIA’s publication page.

Methodology

The rate of new medicines available in based on the number of medicines that are new active substances and received central marketing authorisation in Europe in the relevant time periods. The text below on the central authorisation procedure is taken from the European Medicines Agency (EMA) page on authorisation of medicines, which provides more information on the subject.

Under the centralised authorisation procedure, pharmaceutical companies submit a single marketing-authorisation application to EMA. This allows the marketing-authorisation holder to market the medicine and make it available to patients and healthcare professionals throughout the EU on the basis of a single marketing authorisation.

While the majority of new, innovative medicines are evaluated by EMA and authorised by the European Commission in order to be marketed in the EU, most generic medicines and medicines available without a prescription are assessed and authorised at national level in the EU.

Following the UK’s exit from the EU, from 2021 onwards, the MHRA are the sole regulator to approve medicines for marketing authorisation in the UK but for the period of these figures (up to 2020) the UK was included in the EMA central marketing authorisation process. Future reports will consider how to incorporate this change into the analysis.

Please note that only England and Scotland are included in the rate of availability and time to access analysis due to the availability of data. Health Technology Assessment (HTA) submission and guidance typically varies among the UK countries. NICE positive guidance obligates mandatory funding in England and Wales, albeit with slightly different implementation timings, whilst Wales also has an independent HTA body – the All Wales Medicines Strategy Group (AWMSG). In Scotland, whilst NHS Boards are expected to follow Scottish Medicines Consortium (SMC) advice, the implementation of SMC accepted medicines is subject to local NHS Board decision regarding whether or not to include these in their formularies. Northern Ireland follow NICE guidance, but with some local interpretation.

For England and Scotland, medicines are considered to be available when:

• England: NICE has issued a positive recommendation. For the remaining medicines, IQVIA sales data are analysed to determine if routinely available

• Scotland: SMC has issued a positive HTA recommendation. For the remaining medicines, IQVIA sales data are analysed to determine if routinely available

For more details on how medicines are defined to be available in other countries in the analysis and what medicines are included, please see the methodology section in the latest W.A.I.T indicator publication.

The time to availability takes the mean time of the length of time from central marketing authorisation in Europe to the below milestones for England and Scotland:

• England: For medicines with a positive NICE recommendation, the accessibility date is the date of published guidance (cancer medicines) or date of published guidance + 90 days (non-cancer medicines). Cancer medicines benefit from earlier funding. For the remaining medicines, the IQVIA sales data is analysed to determine month of routine availability.

• Scotland: For medicines with a positive SMC recommendation, the accessibility date is the date of published guidance + 90 days. For remaining medicines, IQVIA sales data is analysed to determine month of routine availability.

Other countries included in this report also use the date of central marketing authorisation in Europe, with the exception of Switzerland where local authorisation dates have been used. For more information on when a medicine is considered to be available in other countries, please see the methodology section in the latest W.A.I.T indicator publication.

The data in the time series are based on the figures from published reports and past time periods are not revised in more recent reports. This means that the timeseries is not backdated with more up to date information if it becomes available.

The National Institute for Health and Care Excellence (NICE) adapted its priorities during the COVID-19 pandemic and paused appraisals of some new active substances. The rate of availability for England in the 2017-20 period may therefore be understated and trends over time should be treated with caution. Other countries included in the report may have faced similar impacts.

Uptake of medicines

Changes from previous publication

The source and methodology remains consistent with previous years. The metric has moved to presenting the estimates of uptake as a ratio rather than a percentage to aid in the dissemination of the metric.

Data source

Association of British Pharmaceutical Industry (ABPI) analysis of IQVIA MIDAS monthly sales data and HTA accelerator.

Methodology

The uptake ratio measures the relative adoption of new medicines in the UK compared to other countries. The uptake ratio is a measure of relative uptake in terms of days of therapy (DOT) per capita for new medicines recommended by NICE and first launched between 2014 and 2020. A ratio of the UK DOT per capita to the average DOT per capita for comparator countries is calculated for each medicine, and then the median of these ratios is taken to summarise how uptake in the UK compares to other countries – this value is hereafter referred to as the uptake ratio.

The comparator countries used in this analysis are; Australia, Austria, Belgium, Canada, Finland, France, Germany, Ireland, Italy, Japan, Netherlands, Spain, Switzerland, Sweden, USA.

The majority of products do not have data available for each of the 15 comparator countries, meaning that the average uptake for certain products covers only a subset of the comparator countries.

Uptake is predominantly measured from the decision date from the relevant Health Technology Assessment (HTA) in each country. The exceptions to this are for Germany, Switzerland and the United States, where the date of regulatory approval is used. The date of regulatory approvals also used when the date for HTA decision is unavailable. If the HTA decision date and regulatory decision date are not available, the launch date in IQVIA sales data is used.

Medicines have different HTA decision and launch dates in each country. The metric normalises monthly DOT data to ensure the first 12 months of sales and subsequent years are analysed for each country.

Medicines were only included in this analysis that had UK sales above £1m in 2020 and were on sale for a minimum of 12 months in at least 4 of the comparator countries and the UK.

The uptake ratio accounts for individual country population size, but not for need (number of cases and HTA authorities’ recommended coverage), standard clinical practice or total medicine spend in each country. It also does not adjust for the impact of different marketing or launch strategies in different countries. These factors are likely to have a substantial impact on uptake figures.

In many cases there is no consensus as to what the ideal level of uptake should be. As such, high or low usage should not be interpreted as good or bad performance in itself. Nonetheless, the uptake ratio with respect to an international benchmark may be used to understand how UK adoption of innovative products changes in the years following their introduction.

This metric considers all 4 nations of the UK (England, Scotland, Wales and Northern Ireland), however it should be noted that Health Technology Assessment (HTA) process varies amongst the UK countries. For consistency, only NICE recommendations have been considered. Positive NICE guidance obligates mandatory funding in England and Wales, albeit with slightly different implementation timings, whilst Wales also has an independent HTA body – the All Wales Medicines Strategy Group (AWMSG). In Scotland, whilst NHS Boards are expected to follow SMC advice, the implementation of SMC-accepted medicines is subject to a local NHS Board decision regarding whether or not to include these in their formularies. Northern Ireland follow NICE guidance, but with some local interpretation.

It is being investigated whether it is feasible to adjust for some of the factors that may affect the uptake ratio for future reports.

Availability and utilisation of diagnostic technologies

Changes from previous publication

This is an entirely new metric, included in this publication for the first time this year.

Data source

The data summarising both the availability and utilisation of diagnostic technologies is taken from the OECD.Stat database - the raw data can be found in the ‘Health Care Resources’ and ‘Health Care Utilisation’ folders respectively within the ‘Health’ theme page.

Methodology

The data behind the charts (and used to generate the country rankings) is for 2019, or the latest year available for countries with no 2019 data. 2019 has been chosen as the comparator year due to the fact that 2020 data is unavailable for the majority of countries. The full time series from 2000 to 2020 can be found in this report’s accompanying spreadsheet on tabs 14 and 15.

For some countries, only data relating to equipment and exams within a hospital setting are available. For more information on the coverage of data used for each country, please see the ‘Notes’ page of the accompanying spreadsheet, and for more general information on OECD methodology for this dataset please see:

• OECD ‘Health Care Resources Sources and Methods’, and

• OECD ‘Health Care Utilisation Sources and Methods’

Employment in pharmaceutical and medical technology manufacturing

Changes from previous reports

Data has previously been extracted from Eurostat’s data explorer for Enterprise Statistics for Industry. Eurostat no longer processes UK data due to the exit from the European Union and the last data point available on Eurostat relates to 2018.

Prior to this, the Office for National Statistics (ONS) provided the UK statistics and as part of a user request have published updated data for 2019 and 2020 to allow a comparable figure for the UK to the data collected by Eurostat. For future years it will be considered how the time series will be continued longer-term.

Data source

For all comparator countries, except the UK for years 2019 onwards, data was extracted from Eurostat’s data explorer for Annual detailed enterprise statistics for industry (NACE Rev. 2, B-E) for the indicator V16110 Persons employed – number.

The following NACE Rev.2 classifications were used:

• Pharmaceutical manufacturing: C21 - manufacture of basic pharmaceutical products and pharmaceutical preparations

• Medical technology manufacturing: C266 - manufacture of irradiation, electromedical and electrotherapeutic equipment and C325 - manufacture of medical and dental instruments and supplies

For data relating to 2019 onwards for the UK, this data was compiled and published by ONS as part of a user request at UK employment estimates by Enterprise industry.

Methodology

An employee is defined as anyone aged 16 years or over that an organisation directly pays from its payroll(s), in return for carrying out a full-time or part-time job or being on a training scheme. It excludes voluntary workers, self-employed and working owners who are not paid via PAYE. Working Proprietors are sole traders, sole proprietors, partners and directors. This does not apply to registered charities.

Employment is defined as employees + working proprietors. Total employment is point in time employment averaged during the year.

Data collected by Eurostat is collected at the Enterprise level. A group of legal units under common ownership is called an Enterprise Group. An Enterprise is the smallest combination of legal units (generally based on VAT and/or PAYE records) which has a certain degree of autonomy within an Enterprise Group.

An individual site (for example a factory or shop) in an enterprise is called a local unit.

Employment for pharmaceutical and medical technology uses the below NACE Rev.2 classifications:

• Pharmaceutical manufacturing: C21 - manufacture of basic pharmaceutical products and pharmaceutical preparations

• Medical technology manufacturing: C266 - manufacture of irradiation, electromedical and electrotherapeutic equipment and C325 - manufacture of medical and dental instruments and supplies

The NACE Rev.2 is the statistical classification of economic activities in the European Community. The UK’s classification of economic activities is the Standard Industrial Classification (SIC) which is identical to the NACE classifications down to the 4 digit level. The figures in this report only include employment in manufacturing for businesses classified under the above classifications. As a result, this will not include all employment in pharmaceutical and medical technology manufacturing in each country.

Pharmaceutical manufacturing GVA

Changes from previous publications and source

UK data is no longer processed by Eurostat and the source for this metric has changed to the OECD statistics for Value added and its components by activity, ISIC rev4.

The Industrial Standard Classification of all Economic Activity (ISIC) is the international reference classification of productive activities. This metric uses the ISIC category V21: Manufacture of basic pharmaceutical products and preparations. This will only consider businesses whose main economic activity is classed under this definition and will not consider all GVA for pharmaceutical manufacturing.

Previous data from Eurostat can be found for other European countries at Eurostat Data Explorer National accounts aggregates by industry (up to NACE A*64).

Methodology

Data is extracted in national currency and constant prices with a base year of 2015 from the OECD. Exchange rates are also extracted from the OECD and applied to the figures to get a standardised time series in US dollars.

Figures for the UK are supplied to OECD from the ONS national accounts. The figures are based on output GVA and are not balanced to the income and expenditure measurements of GVA.

Export and imports of pharmaceutical and medical technology products

Changes from previous publications

No changes have been made to these metrics since the last publication.

Data source

Trade data is extracted from the ‘International merchandise trade’ section within UNCTAD STAT Data Center.

Methodology

The commodity classifications used in UNCTAD’s ‘International merchandise trade’ data are the Standard International Trade Classification (SITC) codes.

For trade in pharmaceutical products, the following 2 SITC Rev3 product types were selected and summed together:

• Medicinal and pharmaceutical products, excluding 542

• Medicaments (incl. veterinary medicaments)

For trade in medical technology products, the following 2 SITC product types were selected and summed together:

• Electro-diagnostic appa. for medical sciences, etc.

• Instruments & appliances, n.e.s., for medical, etc.

The SITC classification system is split into 5 levels of increasing granularity, only the first 3 of which are presented in the UNCTAD dataset used to extract data for the trade metrics. The above 4 SITC level 3 categories only cover a subset of total trade in life science products, and because SITC level 4 & 5 categories are not available, it is not currently possible to improve the coverage of life science trade.

Foreign direct investment (FDI)

Changes from previous publications

No changes have been made to these metrics since the last publication.

Data source

The data source for the FDI data is fDi Markets

Methodology

Inward Foreign Direct Investment (FDI) is an investment from a foreign investor into an enterprise in a different country. The entity then becomes an affiliate enterprise, which is either a subsidiary, branch, or an affiliate company of the parent company – the foreign investor. In practical terms, a foreign company can either set up a version of itself in the country, or can acquire/merge with an existing company.

fDi markets only collects data on ‘greenfield’ investments. These are investments in which a parent company (or the foreign investor) creates a subsidiary in a different country, building its operation from the ground up. As a result, the data in this report only includes situations where a foreign company has set up a new entity in the relevant country and doesn’t include mergers or acquisitions. The data does not include investment into an existing facility in another country, nor a foreign investor making equity investments in another country.

The value of FDI comes from capital expenditure collected from fDi markets data. Some projects do not have a known value for capital expenditure, and this is estimated by fDi markets.

The data in this report is based on fDi Markets data available at the industry ‘Cluster’ level definition for life sciences, which includes projects in pharmaceuticals, biotechnology, medical devices as well as some projects in adjacent sectors such as healthcare, software and IT, business services and various other industries where fDI Markets has tagged these projects as life sciences.

This data uses the fDi markets definition of ‘life sciences’ and as a result some projects included do not necessarily align with the definition of life sciences considered in the Office for Life Sciences official statistics on Bioscience and Health Technology Sector Statistics (BaHTSS). In 2021, there was a substantial investment into the UK that would be considered healthcare and outside of the scope of the BaHTSS definition of life sciences. Despite this, the fDi data provides a consistent definition across countries to allow for international comparisons.

fDI Markets records publicly available data on FDI projects, and therefore underrepresents global investment, but has been chosen as the best available independent data source for making international comparisons.

The Department for International Trade’s statistics on UK inward investment results 2021 to 2022 are a better representation of investment coming into the UK, showing annual results for inward investments for life science.

Initial public offerings (IPO)

Changes from previous publications

This metric has been presented as a time series (rather than just a summary of the latest available year) for the first time in this publication. No methodological changes have been made, and data on life science IPOs have been extracted on the same basis as before.

Data source

Data is extracted from S&P Capital IQ.

Methodology

An initial public offering (IPO) describes the act of a company offering their stock on a public stock exchange for the first time. An IPO allows a company to raise capital from public investors.

The IPOs assigned to each Country in this analysis refers to the country in which the IPO took place, not the domicile of the company being listed.

Data has been extracted by filtering for the following industry classifications to filter for IPOs in life sciences:

• Health Care Equipment and Supplies (Primary) or

• Pharmaceuticals, Biotechnology and Life Sciences (Primary) or

• Health Care Technology (Primary)

IPOs belonging to the above categories were extracted if their transaction status was marked as ‘Closed’ or ‘Successful’, and the date the transaction was closed was between 1 January 2010 and 31 December 2021.

Equity finance raised

Changes from previous publications

This metric was published in the LSCIs for the first time in the 2022 report and did not feature in past reports.

Data source

Data is extracted from S&P Capital IQ.

Methodology

Industry investment in this report refers to the amount of equity capital raised by the sale of shares from life science companies. This is the amount of capital that private and publicly-listed companies have raised through the issuance of new equity, and has been publicly disclosed.

IPOs are a form of equity raise and as a result the figures for IPO are a subset of the total investment figures. The FDI figures in this report will also not be captured within the industry investment figures as the FDI data in this report does not include equity investments in another country.

Data has been extracted by filtering for the following industry classifications to identify life science investment:

• Health Care Equipment and Supplies (Primary) or

• Pharmaceuticals, Biotechnology and Life Sciences (Primary) or

• Health Care Technology (Primary)

Transactions that were classed as ‘private placement’ or ‘public offerings’ were included. Transactions where the status was ‘closed’ or ‘successful’ were included.

The data includes public and private capital raises but this will not include all private investments. In some situations the value of private investments are only known by the company and the investors, as private companies are not obliged to report capital raises.

Skills

Changes from previous publications

As well as the metric on the percentage of UK graduates from tertiary education graduating from natural sciences, mathematics and statistics programmes, the LSCIs also include UK-only data on the number of life science apprenticeships started between 2016/17 and 2020/21 for the first time in this publication.

Data source

The data source for the graduates metric is UNESCO Institute for Statistics (UIS). The dataset where the data is extracted can be found within the ‘Education’ theme, and is named ‘Percentage of graduates by field of education (tertiary education)’. The programme of study is filtered for ‘natural sciences, mathematics and statistics’.

The UK apprenticeships data comes from a Department for Education statistics publication on apprenticeships and traineeships. To reach the total number of life science apprenticeships started, the following apprenticeship types have been summed together:

• Science Manufacturing Process Operative

• Laboratory Technicians

• Science Manufacturing Technician

• Science Industry Maintenance Technician

• Laboratory Scientist

• Technician Scientist

• Science Industry Process and Plant Engineer

• Clinical Trials Specialist

• Research Scientist

• Bioinformatics Scientist

• Regulatory Affairs Specialist