Have you ever thought about how clinical trials affect the environment?
I hadn’t, until I spoke with Annie Wright, a first-year PhD student at Imperial College who is passionate about greener research. In this episode, we uncover how clinical trials contribute to climate change, from travel emissions to operational inefficiencies. We dive into practical actions statisticians and researchers can take to reduce the carbon footprint of trials, like adopting decentralized approaches and streamlining study designs.
Join us as we explore how to transform clinical research into a more sustainable practice while still delivering valuable scientific outcomes.
Key points:
- Environmental Impact
- Carbon Footprint Drivers
- Decentralized Trials
- Study Design Simplification
- Protocol Amendments
- Waste Management
- Greener Initiatives
- Technology Adoption
- Awareness and Collaboration
- Call to Action
- CO2 Calculators
- Public and Private Collaboration
Clinical trials play a vital role in advancing healthcare, but their environmental impact cannot be ignored. By rethinking how we design and operate trials, we can reduce carbon emissions, streamline processes, and contribute to a greener future. Whether it’s embracing decentralized trials, simplifying study designs, or engaging in sustainability initiatives, we all have a part to play.
If this episode inspired you, share it with your friends and colleagues. Let’s spark conversations about making clinical research more sustainable and work together to create positive change. Don’t forget to listen, reflect, and take action—every step counts!
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Annie Wright
Public Health PhD Student Imperial College, Decentralised Trials, and Healthcare Systems Data
Annie Wright is a Clinical Trials Statistician and PhD candidate at Imperial College London, focusing on innovative, patient-centered approaches to decentralized clinical trial designs. Her doctoral research includes a systematic review of the global use of decentralized trials, organizing public focus groups to explore data collection methods such as patient-reported outcome measures (PROMs), and developing a national survey based on these insights. Annie also conducts simulation studies to evaluate longitudinal analysis models of PROMs, aiming to optimize trial sample sizes.
In addition to her PhD work, Annie is a co-applicant on an Imperial BRC Digital Health-funded project that investigates barriers and facilitators to efficient trial designs through stakeholder surveys, with findings currently being prepared for publication. She actively contributes to her academic community by leading the Statistical Methodology Journal Club and organizing social events within her unit.
Annie’s professional experience includes contributing to high-impact projects such as the COV-BOOST study, which resulted in her first publication, as well as conducting analyses for related sub-studies. She has also worked on trials including BACHb and ACORN II, and previously supported maternal outcomes research at the Women’s Health Unit at QMUL using routinely collected data.
Annie holds an MSc in Applied Statistics in Health Sciences (Distinction) from the University of Strathclyde and a BSc in Pharmacology from the University of Dundee, enriched by academic experiences in continental Europe. Her master’s project, which examined influenza vaccine uptake in Scotland using machine learning and linked electronic health data, achieved a distinction and sparked her passion for applying advanced statistical techniques to public health challenges.
Annie is dedicated to advancing the application of statistics in clinical trials to improve patient outcomes and support impactful healthcare research.
Transcript
Why Do Clinical Trials Impact The Climate Heavily And What We Can Do About It?
Alexander: [00:00:00] Welcome to another episode of the effective statistician. Today we talk about a topic, which was quite a surprise to me. I never thought about it. And Any who’s our guest today? She’s part of a leadership program that I’m running. And through that we stepped over this topic and those topics are very close to my heart.
But I never saw the connection of them. And so one is clinical research. Especially running clinical trials and the other one is climate change and how the overall pharmaceutical industry or the whole kind of research is having an impact on our CO2 footprint globally. And thanks to Annie, I got the link about it, but before we dive into this, Annie, maybe you can introduce [00:01:00] yourself.
Annie: Hey, yeah. I’m Annie. I’m a first year PhD student based at Imperial College and I work at the Imperial College Clinical Trials Unit. I have a bit of a varied background. I came from doing a pharmacology undergraduate and then swapped to applied statistics. Or, as I worked as a clinical trials statistician for a while, or embarking on a PhD.
Alexander: That is so cool. Yeah. And as you can see, I don’t only have people here on the shows that are 35 years into their career, but also people that are very early in their career. And I really want to have a mix of All these kind of different people, because I think everybody has something to contribute.
And so if you are early in your career, you can actually have a big impact as well. Yeah. Age very often doesn’t matter so much. There’s other things, especially kind of passion, [00:02:00] attitude how you approach things that make a much, much bigger difference. So let’s talk about clinical trials and climate. So where’s the connections there?
Annie: Yeah, I think it’s probably something we don’t think about day to day. I think you think about climate change in terms of like very physical things you can see, like transport you take. But actually, when you break down a clinical trial, there’s like lots of areas which are really increasing your carbon footprint and obviously it’s amazing.
We’ve got loads of clinical trials ongoing. That’s great. We want as much clinical research as possible, but we really do need to think about the impact of that on the environment.
Alexander: Yeah. Do you have any numbers in terms of how big the impact is, let’s say, compared to, to, to Tarzai areas?
Annie: So I guess in clinical trials itself, we’re registering approximately 38, 000 trials every year.
[00:03:00] Amazing, but the actual carbon footprint of these trials is between 80 and 2, 000 tons of CO2, which is quite enormous. And obviously, yeah, we can’t continue in this way, but we want to generate research. Yeah, I think there’s a bit of a push to think about how we drop that and how we do it more considerably.
Alexander: 80 to 200, 000 tons of CO2. How does, that’s, that sounds like a really large number. How does it relate to kind of other areas, that we are a little bit more familiar with?
Annie: Yes, yeah, the global average per person per year is 4. 7 tons of CO2 per person. Even the smallest end of the scale, that’s equivalent to just 42 people. People’s carbon emission.
Alexander: So how does [00:04:00] it. That’s a big number. Let’s put that into perspective.
Annie: Yeah, so if we’re saying that the average carbon footprint of a trial ranges from 2, 000 tons of CO2, this is the equivalent between 17 people to 425 people’s CO2 emissions per year.
We need to like, outweigh the benefit of that with the how good the research output is going to be.
Alexander: I think this is also one of the reasons I think that the whole kind of healthcare pharma industry worldwide actually has quite a significant impact. Impact. Yeah. On CO2. If you look at it, I think it’s even in the same space as kind of air travel.
Yeah. And so just think about this. This is quite a lot. Yeah. And so we as statisticians, design clinical trials on an ongoing basis. Now what kind of [00:05:00] factors mostly in clinical trials affect CO2 footprint?
Annie: It’s probably travel within a trial, which is having a massive impact. That might be travel that a participant’s doing to and from a site. It’s travel that, we are doing to inform our offices. It’s travel that our operational teams are going out to sites today. And also delivery of drug. And if that’s going passing to and from sites before reach the patient.
So it’s these are probably things we can tackle quite easily that probably have quite a big reduction in our carbon footprint.
Alexander: Yeah. I think the so of course, if you have lots of face to face visits, yeah, then each face to face visit requires all the participants to travel to site.
Yeah. Yeah. And of course, yes. Some people will take, the bus to the hospital to streets down the [00:06:00] road, but lots of people will travel quite a lot. Yeah. And so I think if you just think about that and how many visits you have, that increases the thing quite a lot. The other thing that I’ve seen is, all the, clinical trial operational parts in it, monitoring sites initiating sites everything that kind of happens on a by patient or by site level increases drastically with if you have more patients and if you have more sites.
Annie: And I think this is where this idea of decentralization or decentralized trials comes in. Or it’s we’re thinking about trials maybe from a more patient centric view, because they can stay at home. But this also contributes to the greener view, because if we conduct a visit online, because you’re only asking a participant questions, of course we can do that at home, we don’t need to bring them in.
So I think, There are [00:07:00] actually simple changes which can be implemented. It’s maybe just not been at the forefront of our minds because it’s not a very traditional technique.
Alexander: Yeah. Yeah. So what are the typical kind of barriers that you see, for example, for most decentralized studies? So for me, decentralized study is where much more things happen at home.
Yeah. Does it also mean that potentially there’s more sites so that, the travel to each of these sites is less, is that also considered decentralized?
Annie: Yeah. So I guess you can have kind of hybrid decentralization where people might come in for some study visits and some are conducted at home.
I guess you need to think a bit more carefully about your patient population. Not everyone is very. technology literate or doesn’t have the same access to technology at home so that’s [00:08:00] probably quite a big barrier. I think in terms of trial teams we’re conducting a survey on this at the moment but I think people are probably worried about technology failing, how that’s like an extra level of setup, we’re used to just setting up an in trial thing.
But I think as we have a lot of technology now, we conduct a lot of meetings online, it’s not outwith our capabilities, but I think the comfort of what we usually do definitely can outweigh yeah, pushing forward with, I wouldn’t say innovative solutions, because I think we have them, but yeah, being more tech focused.
Alexander: Yeah. I think there is lots of examples already out there of how people use technology to avoid people traveling to sites and that will make things much easier. The other thing also, of course, just the simplicity of slide [00:09:00] of clinical trials. I’ve seen lots of waves of.
initiatives within companies that asked for, let’s simplify our clinical trials. And afterwards, we always have more complex ones because it’s, each and every clinical trial very often takes a lot of burden. Yeah. Just the setting up one study, yeah, with all the governance and also the discussions and also funding and having a team and all these kind of operational things, these one time costs are pretty, pretty significant.
Therefore, very often people on a kind of when they have already this one time costs get as much out of the clinical trial as possible.
Annie: Definitely.
Alexander: So I think one area where people actually need to focus on is decrease this one, one of costs, make it easier [00:10:00] to start a clinical trial.
Annie: I know. And I guess we’re maybe thinking about more of this as we’re creating our funding packages or what we’re asking for, but this.
I know having documentation online is like a big thing and if you can get a package bundle within one funding for that, then you’re more likely to utilize it across all trials and that’s being more efficient. But I guess it’s getting to that place of having the money to do so sometimes the barrier as well.
Alexander: Yeah. Yeah. So as statisticians, we can think about okay, of course, smaller studies usually have these kind of benefits of, let’s say, need less CO2 footprint but less visits for sure. The other areas that I think can have a big impact is all the shipments that we do. Yeah. What’s your experience in that area?
Annie: I think [00:11:00] I’ve worked mainly on vaccine trials, so it’s people having to come in to receive the IMP. But from, I think from speaking to my colleagues, I’ve realised that kind of shipments of the medicinal product, wherever that may be, directly to a participant’s home, is more common than I thought.
And I think that is cutting out a middle partner in this. Maybe we do need to think about how we’re doing this in terms of how much plastic and waste it generates. I know we had a conversation within our unit recently about that and what we’re doing with excess. that hasn’t been used are we recycling that?
Yeah, so for example, some vials that haven’t been used can be come back and used for medical students for training. This is a good way of recycling products that couldn’t go back into hospitals. I think that’s something we need to consider about the waste we generate surrounding a trial.
Alexander: Yeah. That comes from all kinds of different test [00:12:00] kits and lab kits. And, especially if things also need to be, you can’t just put them in a box, but say, there needs to be a temperature controlled and these kinds of things. So difference. Also local versus central labs. Make a big difference.
Annie: Yeah, and I think on the same vein and decentralized trials were saying, okay, We’ll send test kits to people if we want to collect a urine sample or a blood sample, which is great Because they’re not coming into a site, but then Are we thinking about the trade off there in terms of carbon footprint?
Is it actually better to send out this kit, or can they visit a local general practice to have that done, which they can walk to potentially? So there’s good solutions is it the appropriate solution?
Alexander: Yeah. Another area I think is during the study every time you create [00:13:00] a protocol amendment that not only creates a lot of work internally just talk to your clinical Project managers and your CRAs, how much they love it.
Protocol updates. And I’ve seen, studies that have, you’ve just signed the protocols, the first part, and you already are working on the update. Yeah. I think sometimes putting their quality really good and moving more slowly so that you overall can work fast and reduce the number of protocol amendments can be a huge thing. Yeah.
Annie: Yeah. And I guess, yeah I’ve worked on the COVID vaccine trial and that had many protocol amendments, due to the pace of it. But yeah, I do wonder if sometimes there is a benefit in slowing and considering What you’re doing and if there’s similar trials trying to make sure [00:14:00] you’re really learning from the one before.
Alexander: Yeah, speaking about learning. I think there’s various aspect you can learn about in order to improve the CO2 footprint of the clinical trials you’re working on.
So what would be your recommendations that people dive into?
Annie: I think within the MRC there is a greener trials working group and they’ve they’ve published a paper on this, looking, comparing a couple of trials to look at their carbon footprints. And I don’t know if they’ve generated any sort of calculators, but I guess it’s going back.
I’m not saying everyone has the time to do this, but examining your trial flows. And if you can calculating the general carbon footprint of it and seeing which trials have done better, obviously. Smaller, less complex trials probably do well, but is there any processes within them [00:15:00] that has worked particularly well?
Yeah, and then using that to go forward. I think obviously it differs by size and complexity, but there’s definitely parts we can adopt.
Alexander: Yeah, I think there’s also look into kind of the organization you’re working already in, do they already have some initiative for example, AstraZeneca, just by googling about clinical trials, that kind of site directly came up and they have some initiative To bring the CO2 footprint down to clinical trials.
Yeah. So watch out. Does your organization have something, something similar already going on? And I think another area is talk to your talk to the other people that you’re working together with. Is that already on their radar? Do they know about it? Do they care about it? And look for the people that.
where you think oh yeah, they [00:16:00] probably would care. Yeah.
Annie: Yeah.
Alexander: And then have a discussion about them. Okay. What are big drivers of in our clinical trial? Yeah. What can we do? And review all the. All the different activities that you have. Can you streamline them? Can you adjust them? Can you change them?
Can you eliminate them? Yeah, I think. Very often with Saving CO2 as always. Also big financial impact. Yeah. And I’m pretty sure there’s also other benefits. If you’re. Patients don’t need to travel that will probably increase retention in the clinical trial, will probably increase recruitment into the clinical trial, these kinds of different things. Have a look into this.
Annie: Yeah, definitely. I think it is way more interlinked than we think from a surface level and it is, yeah, it does require a bit [00:17:00] of a review. But I think by improving one thing or taking something away, it might, yeah, as you say, boost your retention to trial, which is what we’re all looking for when it’s so hard to recruit patients.
Alexander: It would be awesome if there would be some kind of clinical trial CO2 calculator.
Annie: Yeah.
Alexander: That you could get an estimate of, okay, where are the biggest things we can do something about it. I found that super helpful for myself at one point, a couple of years ago we looked into the CO2 footprint of my family.
And we did that with a calculator and at the time I was working on in an international job and was traveling across the Atlantic a couple of times per year, and it was really telling when we had C. All the things that we did in the house and all these kind of little [00:18:00] things and holds that compared to me flying once over the Atlantic.
What a perspective. Yeah. And that had a. Lasting impression on how I plan travel. So I, whenever I’m in Europe, I always try to go by by train. Yeah. I try to avoid business travel all, all together. Yeah. So you can’t reduce this to zero probably, but really be aware about it and have it at top of your mind, I think is really important.
Annie: Yeah, I do think sometimes we need that shock factor of seeing the numbers. And maybe it would take comparing a handful of our trials just to see yeah. And then the change is like easier to think about changing because you’ve seen that impact.
Alexander: Yeah. [00:19:00] And there’s huge variation in terms of CO2 footprint within within the pharmaceutical industry.
Yeah. I just know about two companies and I don’t want to name them, but they are both very large pharma companies and one has about 10 times the CO2 footprint than the other.
One is in Europe and one is in the U. S. Or more U. S. centric and so one other one is more European centric. However, of course, there can be lots of factors that contribute to CO2 footprint, but a factor of 10 is really big. And that tells me, just this factor tells me that there’s a lot of opportunity of what we can do.
Yeah. And so clinical trials is definitely one. I think it would also be really cool if whenever we speak about clinical trials, within governance meetings and so on, [00:20:00] not only speak about the design, the cost, the timelines, things like this, but also have one part in there that would be about the CO2 footprint.
Annie: I know, I was just thinking about that myself, and I’m sure people writing, I dunno, grant applications don’t want to add to their plate, but I do think, I dunno, some sort of manifesto to how green you’re being would be really helpful, And that’s a drive to create a greener trial, if funding bodies are thinking about that as well.
Yeah, I’m not sure many people would be keen on that idea, but if it’s something we really do need to change, then that’s going to have an impact.
Alexander: Yeah, I think, that’s the for the public. Publicly funded trials. I’m pretty sure there would be some interest for privately funded trials.
Yeah. So for from the pharmaceutical [00:21:00] industry. Lots of pharma companies already have an initiative to decrease CO2. Connect with these initiatives and see, how you can help in terms of that, what you can learn about it and how you as a quantitative scientist, as a statistician, how you can contribute here as well.
Annie: Yeah.
Alexander: So learn, increase the awareness in terms of learning that’s actually one thing that is pretty cool. And he is currently conducting interviews with people who are interested on the topic and especially in terms of How decentralization can decrease the CO2 footprint. So if people are working on this topic or are really interested in this topic, what should they do?
Annie: Yeah. I would say, please let me know you’re interested. I’m on LinkedIn and I’m sure you can also find me via the Imperial website. My name’s Annie Wright with a double A [00:22:00] and yeah, I think. Please drop me a message and we can maybe have an informal chat first. And as I build up my PhD, I would love to, yeah, have a one to one interview where we can talk about this in a bit more detail.
Alexander: Awesome. Very good. So you will of course find all these details in the show notes. Yeah. So just go to theeffectivestatistician.Com. And so he will also find and he’s in his contact. It would be awesome if there would be more initiatives within our field as well, that help to increase the awareness, help to increase the understanding of what we can do about it and to have an impact.
We have so many kind of special interest groups of, what’s have on estimates and non proportional hazards and HTA and all kinds of different things. Why not have something on [00:23:00] greener research?
Annie: Yeah, I know. I think there is one greener trials group, which is It’s probably quite new, but I think if you’re passionate, then you should be joining it as well. Yeah.
Alexander: Awesome. Very good. Thanks so much, Annie, for this great interview and for this great discussion about how we as an industry, how we as individuals can have an impact on climate by doing our work differently, rethinking how we design clinical trials. And not just about, sample sizes and things like that, but also look into the operational aspects of clinical trials.
Work more closely with your clinical operations people, with the CRAs, to understand how the data is actually generated. Always my kind of advice for statisticians. You need to know how data happens. Yeah. [00:24:00] So just for that purpose is probably already very good to understand how that exactly works.
And then you will understand, okay, here may be areas that are nice to have, but not fundamentally so important. And you can streamline the overall protocol or you can adjust the protocol so that You, with not so much loss in terms of quality, you have a huge improvement in terms of CO2 and alongside that, probably some other savings as well.
Annie: Exactly. Yeah. Thank you so much for having me. And yeah, it’s been a very interesting discussion and it’s excited me again, and I hope that anyone who listens can have a little think about what they can do.
Alexander: Thanks so much. Bye.
Annie: Bye.
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