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Currently, few researchers think about the carbon footprint of their trial. The Sustainable Trials Study Group reports that clinical trials are carbon intensive and suggests ways to make them more efficient
Greenhouse gases are changing the global climate, with serious implications for health and ecosystems.1 2 All sectors of the economy, including the health sector, must act to reduce greenhouse gas emissions.3 High income countries need to cut emissions by about 90% by 2030 to limit the global average increase in temperature to 2°C, and thus reduce the risk of the most serious consequences.4
The Sustainable Trials Study Group was convened by the London School of Hygiene & Tropical Medicine to find ways of reducing greenhouse gas emissions from clinical trials. This international health research institution has an extensive research programme on the links between environment and health. A sustainability group was established to reduce the institution's carbon footprint, and this study is a product of its work.
We conducted a carbon audit of the Medical Research Council (MRC) CRASH trial (www.crash.lshtm.ac.uk) with the Edinburgh Centre for Carbon Management (www.eccm.uk.com). The CRASH trial is a multicentre international trial of the effect of corticosteroids on death and disability in 10008 adults with head injury.5 The trial was coordinated from the London School of Hygiene & Tropical Medicine, and patients were recruited in 49 countries over five years (1999-2004). The drug was made by Pfizer in the United States and the placebo was made in France. Drug and placebo were packed in Wales. Treatment packs were sent to London for distribution to hospitals around the world.
Emissions were estimated for a one year period (August 2003 to July 2004). We collected data on operational activities according to the greenhouse gas reporting protocol developed by the World Business Council for Sustainable Development.5 6 7 This protocol provides a choice of three “scopes.” Scope 1 covers direct emissions from company vehicles and facilities. Scope 2 includes indirect emissions from energy imports and exports. Scope 3 includes other indirect emissions such as employees' travel, transport by third parties, outsourcing of core activities, and off-site waste disposal or management activities.
We estimated all fuel use and refrigerant loss by the trial coordinating centre (scope 1 emissions); fuel use off-site for generating electricity used by the coordinating centre (scope 2 emissions); and fuel use for travel (including site visits, data audits, and staff commuting), deliveries (delivery of drugs and placebo to the packing company and delivery of treatment packs and trial documents to hospitals), and waste disposal (scope 3 emissions). Energy used in preparing the trial treatments and other materials was excluded.
We could not calculate the energy consumption of the coordination centre directly because other activities take place there. Instead, energy consumption was assessed from typical energy consumption values per square metre of air conditioned office space. The global warming potential (in carbon dioxide equivalents) of emissions of methane and nitrous oxides from electricity generation and travel were calculated using conversion factors published by the Intergovernmental Panel on Climate Change.8
During the one year audit period, the total emission of greenhouse gases related to the trial was 126 tonnes (carbon dioxide equivalents). This is equivalent to that produced in one year by 32 people on the basis of global per capita estimates, or six people on the basis of US per capita estimates (www.dti.gov.uk). If the audit year is representative, the entire trial was responsible for about 630 tonnes of carbon dioxide equivalents. This corresponds to about 525 round trip flights from London to New York for one passenger. In total, 10008 patients were recruited and there were 1945 primary end point events, corresponding to greenhouse gas emissions of 63 kg per participant or 324 kg per primary end point event.
The coordination centre accounted for the largest proportion of emissions (39%, 50 tonnes), followed by distribution of drugs and documents (28%, 35 tonnes), and travel (23%, 29 tonnes) (figure(figure).). Just over 45 of the 50 tonnes of carbon dioxide equivalent emissions associated with the coordination centre were from the use of electricity (table(table),), the remainder came from the disposal of office waste. Most (94%) of the emissions related to travel were from air travel and hotel stays for site visits, on-site data verification, and collaborators' meetings (table (table).). Although only 22% of the air travel mileage was short haul, because it produces more greenhouse gases than long haul travel, it accounted for 31% of air travel emissions. Most (97%) emissions from the distribution of drugs and documents were from air freight of treatment packs and documents to hospitals.
Clinical trials are energy intensive and produce substantial greenhouse gas emissions. The figure of 14 tonnes per employee each year is high compared with other service industries, which average around 4-6 tonnes per employee each year (Edinburgh Centre for Carbon Management, personal communication, 2007). The CRASH trial was an international trial and our estimates may not be representative of trials in general. The trial had a simple design with no extra tests, the primary end point was mortality, and data collection was minimal. For this reason, emissions per primary end point event, arguably the best measure of emissions per unit of statistical information, may be low compared with other trials. However, the trial was conducted in 49 countries and the distribution of drug and placebo was complex, so emissions from air travel and distribution may be higher than for other trials.
Our audit provides insights into how to reduce the carbon intensity of clinical trials. Even though this was an international trial, electricity use by the trial coordinating centre accounted for the largest share of emissions. Organisations could reduce such emissions to zero by installing on-site renewable energy sources or by buying electricity from renewable energy companies.9 Reductions might also be achieved by fitting voltage optimisation devices (which reduce power consumption by around 10%) to the incoming electricity supply and by using energy efficient lighting—motion sensors and light sensitive dimming, low energy light bulbs, and timers to turn off appliances at night.
Energy use in trials could be reduced by employing fewer people. Reducing bureaucracy and using simple designs with no unnecessary data collection would be helpful. The bureaucracy associated with applications to ethics committees and other regulatory bodies has been highlighted by many trialists and has a big impact on the carbon footprint of trials.10 11 Electronic remote collection of data may reduce staffing levels, although the energy use of such technologies must be taken into account.
Simple designs with statistical checks for data irregularities can reduce the need for on-site data verification and reduce trial related travel.12 13 14 Conducting trials within networks of trialists may reduce training needs, and building local capacity for trials may be more energy efficient than visiting experts. Providing the infrastructure for teleconferencing and videoconferencing could reduce travel. However, frequent interruptions in the electricity supply occur in many health facilities in poor countries. Renewable energy sources such as photovoltaic energy could provide a more stable source of electricity in such situations, with minimal or zero greenhouse gas emissions. The health research community should encourage such technologies and help pilot and evaluate their use in research.
The research community must ensure that trials look at questions of greatest priority using methods compatible with broader strategic objectives in relation to environment and health. Because emissions have a global effect and have the greatest impact on the poor, trials of global relevance should be prioritised.15 All new trials should be underpinned scientifically by a systematic review of the existing research.16 Indeed, by making the best use of existing information, systematic reviews are an energy efficient way of answering research questions. Trial results should be made publicly available, as the environmental consequences affect us all.
Conducting carbon audits on clinical trials will not guarantee success in reducing emissions in the short term. The impact of audit in clinical environments is modest at best.17 However, we need to establish awareness about the broader consequences of health care and research, and through awareness increase the pace of action to avert one of the most important global challenges of our time.18 Long term change will require sustained commitment by research institutions and funding bodies. This may have other benefits, such as increased pragmatism in trial designs, better choice of research questions, and increased likelihood that trials produce important results for global health.
Contributors and sources: JB is an environmental analyst with experience in compiling greenhouse gas emission inventories; MC is director of the UK Cochrane Centre, which is taking steps to reduce its carbon footprint; JD is codirector of the UK Clinical Research Network and has extensive experience in clinical trials; AH is director of LSHTM and has a longstanding interest in climate change, sustainability, and health; RL is a clinical trialist and methodologist; MR is the CRASH trial administrator and compiled the data for the audit; IR is the clinical coordinator of the CRASH trial; NS is a researcher and member of the Cochrane Collaboration; HS is the CRASH trials manager; and PW is chair of the LSHTM sustainability group. This work was stimulated by the efforts of LSHTM to reduce the greenhouse emissions associated with its activities, which include clinical trials. IR is guarantor.
Funding: London School of Hygiene & Tropical Medicine.
Competing interests: None declared.
Sustainable Trials Study Group (in alphabetical order): Jill Burnett, Mike Clarke, Janet Darbyshire, Andy Haines, Richard Lilford, Maria Ramos, Ian Roberts, Nandi Siegfried, Haleema Shakur, Paul Wilkinson.