1 00:00:00,030 --> 00:00:07,560 Realise that if they don't invest in primary care they will bankrupt the the health GDP. 2 00:00:08,100 --> 00:00:15,210 So and I think the model, the U.K. model, it's interesting that for a third of my clinical lifetime, 3 00:00:16,140 --> 00:00:21,930 I think the NHS was looking overseas for better models of clinical provision, 4 00:00:22,950 --> 00:00:29,040 but in fact actually quite accidentally we ended up with probably the most 5 00:00:29,040 --> 00:00:36,060 controlled global health system model and one where most general physician general 6 00:00:36,270 --> 00:00:41,010 medical care occurs in the community and a lot of the sort of prevention and 7 00:00:41,580 --> 00:00:45,719 disease follow that occurs in the community and it enables super specialisation, 8 00:00:45,720 --> 00:00:49,290 hospital setting. The other thing especially is to become more specialised. 9 00:00:49,920 --> 00:00:56,190 And that model, I think most health systems and I recognise that that model in the registered list. 10 00:00:58,190 --> 00:01:04,060 Rather than the source of private provision is the most equitable and cost effective. 11 00:01:04,130 --> 00:01:09,460 So there's lots of health systems are trying to orientate more to the way we do things here. 12 00:01:09,470 --> 00:01:15,230 And of course, digital health, which we do a lot of work around as well, is quite an important part of that. 13 00:01:15,230 --> 00:01:25,700 And letting you know where you are in in terms of of the provision of health care and who you need to focus on first and in what order. 14 00:01:26,880 --> 00:01:32,060 I remember having American friends who were astonished that as a woman who's had two children, 15 00:01:32,060 --> 00:01:34,550 I've never seen either a paediatrician or a gynaecologist. 16 00:01:34,900 --> 00:01:41,360 Yeah, well, they proliferate community care, but that their, according to Jennifer, is actually not exactly the same. 17 00:01:41,360 --> 00:01:50,149 But their family doctor is definitely I mean, they're paid less and generally have a much lower status. 18 00:01:50,150 --> 00:01:55,790 So you tend to at community specialists to your provision as well. 19 00:01:55,970 --> 00:02:03,650 But even the US, the managed care in the US recognises they need a more general population approach to things. 20 00:02:03,650 --> 00:02:08,150 Otherwise, you know, they won't, they won't stop a lot of expense. 21 00:02:08,390 --> 00:02:13,400 They might be doing it for economic reasons, but they're still driving towards a similar model. 22 00:02:13,980 --> 00:02:16,160 Um, and the things we can learn from the US because, 23 00:02:16,250 --> 00:02:28,370 because it's effectively a for profit environment in most cases they are pretty efficient about investing in cost 24 00:02:28,370 --> 00:02:34,279 effective management programmes and we can learn from those is once you've determined that people got problems, 25 00:02:34,280 --> 00:02:46,530 how can you look after them more effectively? They covered this a little bit because you mentioned you went in. 26 00:02:46,530 --> 00:02:55,280 So how did the first lockdown impact on moving now more to your national living, living through the the pandemic? 27 00:02:55,290 --> 00:02:58,350 How did the first lockdown impact on on what you were able to do? 28 00:02:58,430 --> 00:03:00,180 Did it did it change the way you work? 29 00:03:00,390 --> 00:03:09,750 Well, I mean, for me, it impacted rather less because I basically I don't actually live in Oxford, so I live most of the time Birmingham. 30 00:03:09,750 --> 00:03:14,790 So I was commuting down from Birmingham, so it was a lot easier commute, that's for sure. 31 00:03:16,320 --> 00:03:24,240 It was a bit it was a bit weird. I mean, you felt like it was a Hollywood pandemic film because, you know, 32 00:03:24,330 --> 00:03:29,520 they weren't mowing the grass outside and it stopped and the streets were completely empty. 33 00:03:29,520 --> 00:03:36,479 And, you know, I could across the road here with my eyes closed, I needed to look for traffic. 34 00:03:36,480 --> 00:03:39,390 And I think there were two or three of us in this building, 35 00:03:40,350 --> 00:03:47,490 but I think we didn't actually close this building or the other building we got, which is 100 metres away. 36 00:03:48,780 --> 00:03:56,220 But this building had very few people in it. The other one at about 25 or 30 who normally would have about 100 people in it. 37 00:03:57,960 --> 00:04:07,180 So yeah, that was that was a bit weird. A huge increase in meetings actually early, had a lot of meetings in Madrid, 38 00:04:07,180 --> 00:04:12,820 but far more meetings, most of them online, even though might be taking them here. 39 00:04:15,610 --> 00:04:20,650 I think the other thing that was which I've missed, I have to say, although. 40 00:04:21,730 --> 00:04:25,090 I did not think about my credentials, his travel. 41 00:04:26,290 --> 00:04:31,820 So I think I've had. One flight in the last 20 months. 42 00:04:32,720 --> 00:04:39,210 Where is normally I probably I don't know. I'll probably be twice a month again somewhere. 43 00:04:40,350 --> 00:04:49,860 So that's been bad. Because I think you are often meeting interesting people, different across the world, 44 00:04:49,860 --> 00:05:00,290 different perspectives as well as doing whatever you're going to do normally was giving a lecture or examining or something, so that's gone. 45 00:05:00,720 --> 00:05:09,660 Whether that will ever come back, I'm not quite sure. So more of the conferences I've attended have been you know, I've just been given a video talk. 46 00:05:13,820 --> 00:05:17,480 But I've stopped attending Congresses. I think online Congress is a. 47 00:05:19,150 --> 00:05:24,160 Not for me anyway, so I don't know what that's going to be like. 48 00:05:26,390 --> 00:05:32,750 And I think it's you know, I think it's been difficult, but domestically as well, 49 00:05:32,750 --> 00:05:39,170 because my wife is in a similar area to me and, you know, we just it just ramped all the time. 50 00:05:39,410 --> 00:05:42,470 Yeah. So you're working hours went out just ridiculous. 51 00:05:42,650 --> 00:05:48,710 Yeah. And I, I've actually taken more space and she has it and she's. 52 00:05:49,100 --> 00:05:52,520 Well, she takes it even more seriously than I do. 53 00:05:52,520 --> 00:05:59,210 But, you know, I'll just miss something if I'm feeling a bit overwhelmed that day or whatever. 54 00:05:59,390 --> 00:06:07,129 And. Yeah. We still publish a lot and still had to bring the grants in for the next stuff 55 00:06:07,130 --> 00:06:11,720 and still cope with more people in the department and all the rest of it. 56 00:06:12,260 --> 00:06:23,030 I'm quite embedded into the university as well, so I sit on council and sit on quite a few of the council subcommittees and stuff. 57 00:06:24,440 --> 00:06:30,920 So that really increased as well the the sort of because obviously the university response was. 58 00:06:31,970 --> 00:06:36,820 From a senior management team is big. So that's been quite time consuming as well. 59 00:06:38,950 --> 00:06:46,030 And do you think the provisions that were brought in across the university to protect people were adequate and well implemented? 60 00:06:46,240 --> 00:06:51,040 He did a good job, really. I mean, and I think, you know, we tried to make. 61 00:06:52,650 --> 00:07:00,050 Quite a few departments did. We certainly tried to make people still feel they were part of a department, even if they were working from home. 62 00:07:00,220 --> 00:07:03,630 So virtual coffee mornings and. 63 00:07:04,720 --> 00:07:07,900 We normally have a big fancy dress Christmas party every year. 64 00:07:07,930 --> 00:07:14,970 Last year we didn't, but we did a online pantomime, which was awful for those having to be in the Pentagon. 65 00:07:14,980 --> 00:07:17,980 But I think when you think. Are you in the Pentagon? 66 00:07:18,020 --> 00:07:26,710 Yes. So so do you think the well-being of the people in your department held up fairly well? 67 00:07:26,780 --> 00:07:28,090 I think it probably did. 68 00:07:28,120 --> 00:07:41,060 We've got a fantastic team here who are, you know, really dedicated and took the responsibility to try and keep the eye of a big department. 69 00:07:41,100 --> 00:07:45,070 Yes, it still feels like it cares about stuff. 70 00:07:46,180 --> 00:07:47,560 I think they got that right. 71 00:07:50,880 --> 00:07:56,880 I think it's going to get more difficult there because that length of time has gone on for is just not sustainable, frankly. 72 00:07:57,150 --> 00:08:01,020 And I think I don't know where we're going to end up, really. 73 00:08:04,070 --> 00:08:12,290 So I think the university I mean, we were obviously predicting a big loss over the last financial year and to decisions there. 74 00:08:13,250 --> 00:08:21,459 But as it turned out, you know, the university is actually. Financially done well because it's done so much stuff. 75 00:08:21,460 --> 00:08:26,350 It's obviously increased its grant income. There's been a lot more legacy. 76 00:08:26,350 --> 00:08:34,630 I think it's boosted its international status. As an institution even more than it was already so. 77 00:08:35,650 --> 00:08:43,590 It. It hasn't been bad for the institution. I mean, I think we'll have to wait and see where it settles. 78 00:08:43,590 --> 00:08:51,840 I mean, I think it has been it has made a tangible contribution to the world, actually, in the last 20 months. 79 00:08:52,260 --> 00:09:02,160 Way above its station. Not least of which was the vaccine, which is a tragedy that it's been as blighted as it has been latterly. 80 00:09:02,390 --> 00:09:08,100 But. But that's still the most used vaccine on the planet. 81 00:09:08,700 --> 00:09:11,760 And goodness knows how many lives have been saved through that. 82 00:09:14,380 --> 00:09:17,740 And, you know, it should. It should actually be. 83 00:09:20,110 --> 00:09:25,720 By far the most used vaccine because it's cheap and cheerful and easy to use. 84 00:09:25,930 --> 00:09:30,430 And it's risks, albeit, unfortunately, does have some risks. 85 00:09:31,670 --> 00:09:32,569 In the scheme of things, 86 00:09:32,570 --> 00:09:40,590 and they are no greater than the alternatives and much less than getting the disease and massively less than getting the disease. 87 00:09:40,850 --> 00:09:48,020 And who knows the people? I mean, you can speculate, but the people who get these rare thrombotic effects, 88 00:09:48,680 --> 00:09:57,260 I think you could reasonably surmise that they would be more likely to get those same effects if they had the. 89 00:09:58,780 --> 00:10:08,940 Um, you know, if they could walk over the. Because there's obviously some weird predisposition to a thrombocytopenic reaction. 90 00:10:09,060 --> 00:10:17,670 I mean, there is the disorder is actually it just shows how out science is that because actually 91 00:10:17,670 --> 00:10:24,660 it's a known risk factor with vaccines to get a immunological thrombocytopenia response. 92 00:10:25,920 --> 00:10:29,249 This is blood. Blood clots. Yeah. Sorry. I'm just. It's. Yeah, I know. 93 00:10:29,250 --> 00:10:36,780 In this part of it, you. You drop your platelets, which makes you more likely then to get a bleed associated with the clot. 94 00:10:36,870 --> 00:10:40,020 So it's both a clot and bleed at the same time. 95 00:10:42,820 --> 00:10:48,030 And there are one or two vaccines, which I'm not going to name, which have this associated with them. 96 00:10:48,040 --> 00:10:52,630 And I never knew that. And no, for the disease is not covered. 97 00:10:52,660 --> 00:11:02,260 Yeah, yeah, yeah. I it is a known rare effect of immunisation and has actually happened with the marinades as well, but in lower numbers. 98 00:11:02,830 --> 00:11:06,130 So it is just one of the potential risks associated with vaccination. 99 00:11:06,490 --> 00:11:11,830 But you're talking about converting a sort of one in a million background risk into two in a million. 100 00:11:12,490 --> 00:11:18,900 Well, if you were that one in a million person. It's obviously tragic and awful and all that, but. 101 00:11:20,360 --> 00:11:30,459 If you're going to get 12, 15 in a million, if you get COVID and you've got all the other risks on top, then it seems like a no brainer. 102 00:11:30,460 --> 00:11:42,440 Really? Yeah. And no, COVID vaccination does not sterilise you and it doesn't introduce a microbe bot that then allows you to be tracked. 103 00:11:43,040 --> 00:11:52,040 So but that that's been very unfortunate because I think it and it's for some countries have been devastating so. 104 00:11:53,140 --> 00:11:56,300 Because some of the countries have very, very low vaccine uptakes. 105 00:11:56,320 --> 00:12:03,420 Romania, Russia, Japan are going to really get hit badly in this current wave. 106 00:12:03,710 --> 00:12:09,070 So did you personally ever feel threatened by the virus or. 107 00:12:09,610 --> 00:12:18,430 Yeah, I did, actually, because not without going into it. You know, I'm old and have a number of risk factors. 108 00:12:19,150 --> 00:12:24,580 And actually so it was weirdly early on when this had been. 109 00:12:26,680 --> 00:12:30,250 I did actually think that if I get it. Mark Hillman. 110 00:12:31,470 --> 00:12:33,810 And I sort of thought to myself, should I hide away? 111 00:12:33,870 --> 00:12:43,440 And because I could just work from home, just decided that I wasn't going to let it dictate how I lived my life, really. 112 00:12:44,100 --> 00:12:50,070 And then stop thinking about it other than, you know, sensible precautions. 113 00:12:50,340 --> 00:12:53,820 But yeah, so that's what I did think about it deep down. 114 00:12:55,710 --> 00:12:59,190 But as it turned out, I was infected quite early on, as thick as mine. 115 00:12:59,670 --> 00:13:06,450 Oh, you were? Yeah. So. Oh, right. Was my wife caught in mid-March? 116 00:13:07,230 --> 00:13:14,300 She was teaching on a master's programme in work and quite a few. 117 00:13:14,310 --> 00:13:20,970 The top two exalted old doctors and they've got a few of them have been skiing and, 118 00:13:21,630 --> 00:13:27,290 and two of them and subsequently the whole cohort were infected with COVID in March. 119 00:13:27,300 --> 00:13:30,110 That was before the first lockdown. A week before the first lot. Right. 120 00:13:31,110 --> 00:13:41,280 And and so I know that I was infected at some point because I got I did my antibodies at the end of 2020, 121 00:13:42,120 --> 00:13:47,849 which showed I'd had been infected, and I'm almost certain I was infected then, although I wasn't actually particularly ill. 122 00:13:47,850 --> 00:13:54,870 She was much older than me, but she was like you. I mean, you know, I fell off colour and had horrendous headaches, which I don't normally get at. 123 00:13:54,870 --> 00:14:01,500 I didn't lose your sense of taste and smell that I didn't. 124 00:14:01,530 --> 00:14:12,180 I had really given. Well, I'd been thinking in retrospect, stupidly, I got off remarkably mild things with symptoms. 125 00:14:12,780 --> 00:14:16,710 There were another couple of occasions when I was little later in the year where it could have been then. 126 00:14:16,770 --> 00:14:28,140 It's just, I mean, obviously once we realised she got COVID effectively Barry a nurse too at home, but, 127 00:14:29,460 --> 00:14:36,780 but there was at least 24, 36 hours before we knew she was positive when she would have been infectious. 128 00:14:36,780 --> 00:14:43,100 I think the chance of me not having caught it then were negligible and obviously caught it at some point. 129 00:14:43,110 --> 00:14:51,330 So I think it was there. So, so yeah, it you can get it and survive it. 130 00:14:51,930 --> 00:14:54,520 A lot of people do. That's the weird thing about it. 131 00:14:55,940 --> 00:15:05,730 It, it's, it's so unpredictable even amongst people with risk factors, the majority don't want to get seriously ill, but some will. 132 00:15:07,470 --> 00:15:09,990 So I need to move to wrap up because I think we have to time. 133 00:15:10,380 --> 00:15:16,200 And so has the work you've done on COVID raised questions that you'd be interested in exploring in the future? 134 00:15:16,380 --> 00:15:25,500 Yeah. I mean, I think the particular area that we'll want to look at as soon as we can actually is long COVID, 135 00:15:25,620 --> 00:15:33,029 and we'll be looking at whether any of the treatments which might not be infected with COVID might be effective. 136 00:15:33,030 --> 00:15:37,530 In terms of long COVID. That's a completely separate and important question, 137 00:15:38,400 --> 00:15:44,610 where you might use treatments not for the initial illness, but because it might alter the illness trajectory. 138 00:15:44,670 --> 00:15:53,790 So that, I think is an important area. I think we're still thinking about how we can integrate all of our digital assets. 139 00:15:53,790 --> 00:16:04,709 We've got quite a number of parallel digital assets and whether we can actually be using those more efficiently, 140 00:16:04,710 --> 00:16:12,330 I think is is quite a big consideration for us and also our relationship with the 141 00:16:13,170 --> 00:16:20,670 software suppliers who actually generate the clinical systems that extract the data. 142 00:16:20,670 --> 00:16:28,230 That's been the relationship with them has been really quite important and much, much stronger over the last year or so. 143 00:16:30,210 --> 00:16:38,100 Yeah. So those are two obvious areas I think trying to resurrect Non-Covid research is also important. 144 00:16:38,280 --> 00:16:45,990 I mean, obviously, you know, we are not going to eradicate this virus and we therefore need to learn to live with it. 145 00:16:48,340 --> 00:16:51,569 And I think that'll become a feature really. 146 00:16:51,570 --> 00:17:04,740 Which is, which is how you can reduce its impact on society and try and return to a more semblance of normality at 147 00:17:04,740 --> 00:17:12,600 the same time as focus on the next or perhaps the overwhelming issue facing society of climate change. 148 00:17:12,750 --> 00:17:24,420 Mm hmm. But I think everybody is a bit knackered, really, and how you can bring everybody round from that and make them feel more positive about the, 149 00:17:25,830 --> 00:17:30,780 um, where we go with the world, I think is going to be a bit of a. 150 00:17:32,390 --> 00:17:36,410 You know, this is a slightly different question, but related. 151 00:17:36,410 --> 00:17:41,210 Has the experience of COVID changed your attitude or approach to your work? 152 00:17:41,570 --> 00:17:51,210 And how would you like things to change in the future? Well, I really enjoy my job, actually. 153 00:17:51,540 --> 00:17:56,130 I wouldn't necessarily admit that, but I do enjoy its variety. 154 00:17:56,460 --> 00:18:00,870 The amount of control I have over what I spend time doing, etc. 155 00:18:01,680 --> 00:18:05,720 But I do feel a bit wary now. 156 00:18:06,630 --> 00:18:09,480 So I don't know really. It I mean, 157 00:18:09,780 --> 00:18:22,110 what it's done for a lot of my colleagues is get them to decide to retire early and focus on other important things like grandchildren and the, 158 00:18:23,460 --> 00:18:33,300 you know, generational stuff. So I suppose I, I think more about whether I should be thinking like that. 159 00:18:33,960 --> 00:18:38,220 I don't know whether I will or not, but I think I should think more about that. 160 00:18:40,410 --> 00:18:45,180 And I think quite a lot of people of my generation thinking more like that. 161 00:18:48,060 --> 00:18:54,540 And, you know, worrying about what? Because it's really the next generation and certainly the grandchildren who are really going to. 162 00:18:55,550 --> 00:18:58,750 I've suffered the economic consequences of that. 163 00:18:59,420 --> 00:19:05,630 So once again, I think I've been fortunate enough to live at a time when we never had it so good. 164 00:19:05,930 --> 00:19:11,630 Frankly, as a society, the adults in society, even the ones who. 165 00:19:12,580 --> 00:19:16,170 You know, need support from the state to survive. 166 00:19:16,180 --> 00:19:19,479 They've actually never had it so good either. 167 00:19:19,480 --> 00:19:23,890 Cause I think. I think things are going to get tougher and. 168 00:19:25,790 --> 00:19:31,639 So I don't really know what is going to happen. And clearly, you know, the world's in a terrible state. 169 00:19:31,640 --> 00:19:44,450 When you look at equity and distribution and population and simple stuff, like enough food to eat and. 170 00:19:45,650 --> 00:19:50,540 Whether you populations growing in a sustainable or non-sustainable way. 171 00:19:50,930 --> 00:20:01,190 It's yeah we're a bit we may not be very advanced technologically, but we're not very advanced in terms of our governance structures or anything. 172 00:20:01,470 --> 00:20:09,890 Mm hmm. That I don't think we would advance beyond where previous civilisations were several thousand years ago. 173 00:20:10,970 --> 00:20:15,910 But actually we have got slavery now. Well, no, we probably we'd have slavery like they had it. 174 00:20:15,920 --> 00:20:19,790 And I think, you know, Greek and Roman and. 175 00:20:21,740 --> 00:20:28,030 Societies like that were probably as advanced as ours and more durable, really. 176 00:20:28,040 --> 00:20:31,580 But yeah. So I don't know. What do you think? 177 00:20:32,150 --> 00:20:35,479 Where do you think we're going to end up? I think we're going to [INAUDIBLE] at that. 178 00:20:35,480 --> 00:20:38,810 And that's. Yeah. 179 00:20:39,080 --> 00:20:43,310 No, it's difficult to feel optimistic. Well, I think that's the point that I'm going to stop. 180 00:20:44,300 --> 00:20:44,600 I think.