1 00:00:01,280 --> 00:00:04,820 Hi. Good afternoon, everybody. I think we'll make a start. 2 00:00:05,900 --> 00:00:12,890 Obviously, a few people are still filling themselves up on lunch. I'd like to congratulate you on making it halfway. 3 00:00:14,540 --> 00:00:19,550 I think we may have lost one or two people by now, but some of you are still here for more activities. 4 00:00:20,180 --> 00:00:25,060 I'm going to talk to you about diagnostic reasoning. I think it's interesting. 5 00:00:25,070 --> 00:00:30,230 I have one mission in this talk. You know why some people are going to achieve lots of things. 6 00:00:30,890 --> 00:00:35,870 I'm going to teach you about this and this and this. My mission with Julie Ashwood. 7 00:00:37,340 --> 00:00:44,479 Julie said to me this morning, I'm not really into diagnostics and I'm not really into the teaching of it. 8 00:00:44,480 --> 00:00:48,410 Even more so, my mission, apart from mission two, 9 00:00:48,410 --> 00:00:53,840 I'll tell you Mission two is is to try and change your mind about diagnostics and try and change your mind. 10 00:00:54,620 --> 00:01:00,920 The second one is, at some point I may roam around the room and I have to try and get Olive in the shot at some point. 11 00:01:01,940 --> 00:01:05,059 Okay. About five years ago, 12 00:01:05,060 --> 00:01:08,510 I came on this course and somebody was delivering this talk from diagnostics 13 00:01:08,510 --> 00:01:15,380 about this time in the afternoon and I was sat the a mike Crowley is there so 14 00:01:15,500 --> 00:01:20,270 fiddling around with my bag and after about 5 minutes I started to switch off 15 00:01:20,270 --> 00:01:24,410 and do something else because all the information was going over my head. 16 00:01:25,100 --> 00:01:27,679 Okay. So what I decided then was I thought, 17 00:01:27,680 --> 00:01:33,050 I'm going to start thinking about this and what I'm going to talk to you about today is if you join me on this hour, 18 00:01:33,400 --> 00:01:37,880 I'm just going to talk to you about things I find useful in my practice. 19 00:01:38,960 --> 00:01:42,230 I'm not going to talk to you about fancy calculations and how difficult, 20 00:01:42,230 --> 00:01:46,820 but I'll show you the simple bits are you and I want you to keep that in mind. 21 00:01:47,690 --> 00:01:53,120 Often what happens here? People teach you research methodology and you get lost. 22 00:01:54,380 --> 00:01:57,140 So to illustrate that point, this is my daughter, Katie. 23 00:01:58,310 --> 00:02:03,230 And as you can see there at the back, they were discussing about the calculation, she's only five years old. 24 00:02:03,230 --> 00:02:10,520 And in our house we like to keep things simple. And she's calculated a mean difference there. 25 00:02:11,750 --> 00:02:14,810 And for the sharp people this morning, it was in Amanda's lecture. 26 00:02:15,590 --> 00:02:23,270 You'll realise here she's got the confidence interval in. However, in our house we really like to do it well. 27 00:02:23,840 --> 00:02:28,610 So here at the bottom is my eight year old giving her a bit of advice and how to get it right. 28 00:02:29,510 --> 00:02:35,030 But it's important we have to and I've been doing that in my group is keeping things simple so we can understand them. 29 00:02:36,650 --> 00:02:41,090 What I did, though, is I said to people sometimes and some people want to teach her. 30 00:02:41,750 --> 00:02:47,660 Sometimes I put things on my slide in yellow that allow me to remind to just a reminder to me to do something. 31 00:02:48,380 --> 00:02:50,860 I'm going to give you an illustration of diagnostic reasoning. 32 00:02:50,870 --> 00:02:59,929 Actually, in practice, about two months ago, my daughter was ill in the eye and I've been in training now for eight years. 33 00:02:59,930 --> 00:03:06,290 I've been qualified eight years. And you get to that point where you suddenly think, Oh my God, I'm not quite sure if she's really doing well here. 34 00:03:07,250 --> 00:03:09,410 I'm really quite worried about my daughter. 35 00:03:09,740 --> 00:03:16,460 She had diarrhoea, tummy pain, fever with 41, and I'm going, Oh my gosh, you might want to go and tell me what to do. 36 00:03:17,390 --> 00:03:20,810 Now I'm sure those of you with children will recognise that from position. 37 00:03:22,520 --> 00:03:29,479 So actually what I did do is bring my general practitioners in the morning and board with the receptionist. 38 00:03:29,480 --> 00:03:33,260 Difficult not to mention the word. 39 00:03:33,260 --> 00:03:37,030 I'm a doctor, by the way. And she went, Oh, right. 40 00:03:37,040 --> 00:03:45,469 Okay. What we'll do is we'll get you a phone call. Now, I'm at 19 Beaumont Street and actually the person who then spoke to me on the end of the line, 41 00:03:45,470 --> 00:03:49,880 if polled there at the back it was practising that day, you might have even forgotten it by now. 42 00:03:51,440 --> 00:03:54,979 So he gives me the advice he talked me through when I'm feeling a bit more relaxed. 43 00:03:54,980 --> 00:03:58,220 And then he says to me, What about the jump test? 44 00:03:59,580 --> 00:04:05,760 And suddenly bang in my mind came back. The scenario I remember in my training there was this thing about rebound. 45 00:04:05,760 --> 00:04:11,930 And if you've got this acute abdomen, these ask questions like, What's it like in the car or in a child? 46 00:04:11,940 --> 00:04:18,909 What's it like if they jump up and down? And what happened is a minute earlier, she'd just come down the stairs and, 47 00:04:18,910 --> 00:04:21,940 you know, like children do, they just jump off the end of the steps, don't they? 48 00:04:22,360 --> 00:04:27,549 And I immediately relaxed. I said, Well, gosh, I feel better. 49 00:04:27,550 --> 00:04:32,280 I can manage this. And did the phone call that afternoon. 50 00:04:32,300 --> 00:04:36,440 She got better. Fever subsided. She felt better. You know, children instantly. 51 00:04:36,440 --> 00:04:45,270 The better the running the bell. However, that evening, about 5:00, I suddenly said to myself, where is the evidence for that? 52 00:04:49,370 --> 00:04:53,629 You know, I'm an evidence based practitioner. Let's do some deliberate practice. 53 00:04:53,630 --> 00:04:58,280 So I actually looked it up on PubMed. The advantage of PubMed, you can do it in your own home. 54 00:04:59,060 --> 00:05:05,420 Took me about a minute to find the article. In fact, in the acute assessment of children, the jump test is completely useless. 55 00:05:10,800 --> 00:05:14,270 I thought, right. The next day I'm back to work. 56 00:05:15,290 --> 00:05:20,660 I'm running to the office. By the way, Paul, do you know that assessment of the jump test? 57 00:05:21,890 --> 00:05:26,520 He said, I know. I said, What do you mean, you know? 58 00:05:26,540 --> 00:05:31,190 And he said, Well, I looked it up on my phone. It's completely useless. 59 00:05:33,170 --> 00:05:36,370 That's how we think. Okay. That's evidence based practice thinking. 60 00:05:36,380 --> 00:05:39,620 If feel you use that information. 61 00:05:39,890 --> 00:05:44,210 Questioning your uncertainty. Okay, so we're going to have a bit of fun in this session. 62 00:05:44,420 --> 00:05:51,500 Okay. I will stretch the time to the point when I start to think you're all slightly going to sleep and I'm losing you. 63 00:05:51,710 --> 00:05:54,930 I will finish immediately then, if I think we're doing very well. 64 00:05:54,950 --> 00:05:58,790 I'll carry on. Okay. Two things. 65 00:05:59,060 --> 00:06:00,860 I've been having a lot of fun with Amanda with this. 66 00:06:01,340 --> 00:06:08,720 I think the first thing is in diagnostic skills, we have to accept that there are things we do not know out there. 67 00:06:10,160 --> 00:06:14,210 And the second thing is the way we perceive information can be faulty. 68 00:06:16,550 --> 00:06:20,750 I'm going to deal with the second one and then I'm going to talk about strategies that can improve what we do. 69 00:06:21,290 --> 00:06:24,890 Okay. You've all got this picture up and some of you should have this picture. 70 00:06:26,090 --> 00:06:31,490 Now, if you look at this checkered square squares marked, B, are they the same shade of grey? 71 00:06:35,090 --> 00:06:39,829 How many? No. Hands up. Okay. 72 00:06:39,830 --> 00:06:44,680 Most of you. How many think? Yes. One or two or three. 73 00:06:44,800 --> 00:06:48,560 Okay. This is an illustration of our perception now. 74 00:06:48,580 --> 00:06:52,389 Somebody has got one of these sheets, have the. And I borrow your sheet there. 75 00:06:52,390 --> 00:07:00,370 Sir, if you don't mind, I want you to just do something. If you start to follow the sheet over and bring A to B and then match the shading, 76 00:07:02,020 --> 00:07:07,870 what you should start to see is that actually A and B are identical shades of grey. 77 00:07:10,680 --> 00:07:13,770 You can take this away with me. Great. 78 00:07:14,140 --> 00:07:17,880 Olive. Disagree. Can you just come down here with your paper, please? 79 00:07:19,140 --> 00:07:28,470 On the right. Now this. Might you take it away? And however much I looked at this left down slide, I still think I used different to be. 80 00:07:30,550 --> 00:07:37,430 Okay. You can take that away with. You can. Okay. 81 00:07:37,480 --> 00:07:41,790 I'm going to show you a second one. That's even more fun. Okay. Okay. 82 00:07:41,800 --> 00:07:48,190 The car picture. Are these cars the same size? 83 00:07:50,830 --> 00:07:55,330 Now, you all think I'm playing tricks now? I could be doing this. Did I look the same size? 84 00:07:56,710 --> 00:08:01,210 Okay, I think that's important because this is how we see information. 85 00:08:01,220 --> 00:08:07,870 So when I look at my when I make mistakes in diagnosis, I can't understand sometimes how I've made the mistakes, 86 00:08:08,500 --> 00:08:15,370 but information is presented to it's the same information. So when I measure these cars now watch where the wheelbase. 87 00:08:15,380 --> 00:08:19,330 What happens to the wheelbase? You see that? 88 00:08:20,440 --> 00:08:26,380 I'm going to move to the side as the wheelbase got shorter or longer. 89 00:08:28,980 --> 00:08:39,700 And what about that? So say no matter how much I look at this, I cannot explain why that the same. 90 00:08:40,650 --> 00:08:47,730 However, the information surrounding the cars is in perspective and different, and it's making you look at things differently. 91 00:08:48,240 --> 00:08:52,770 So the context we see a person affects how we see them in terms of diagnosis. 92 00:08:53,610 --> 00:09:00,780 If I see them in general practice, they're less likely to have a heart attack than if I see them in in the emergency department. 93 00:09:01,380 --> 00:09:05,160 The context of the information is actually going to change what we do. 94 00:09:05,820 --> 00:09:11,430 So what we did about three years ago is actually on a on a train about three years ago, 95 00:09:11,430 --> 00:09:15,630 I thought there has to be more to diagnosis than what is just a two by two box. 96 00:09:16,950 --> 00:09:20,490 And I was on a train with Paul and we started to flesh out what the strategies are. 97 00:09:21,330 --> 00:09:27,630 And I want you to think of the strategies just like I did then as measuring effects, trying to improve the way we do things. 98 00:09:28,710 --> 00:09:35,980 And I'm going to talk to you about a piece of work that we've been ongoing for about three years, about what I think evidence based diagnostics have. 99 00:09:37,910 --> 00:09:43,370 I may lose you at some points. And if I'm losing you, you can do what Amanda did and just put your hand up and shout at me. 100 00:09:44,570 --> 00:09:46,130 Okay, so let's stop. 101 00:09:47,930 --> 00:09:58,880 I want you to just imagine this is me as a GP Monday morning in the clinic, feeling a bit tired in need of my first cup of coffee of the day. 102 00:09:59,390 --> 00:10:05,210 And I have a message on my screen. There is a child coming in who is on well with a fever. 103 00:10:05,570 --> 00:10:09,080 I have booked her into your emergency slot now. 104 00:10:09,230 --> 00:10:15,470 I want you to just write down the one thing or two things that come to mind in terms of what the diagnosis is. 105 00:10:17,030 --> 00:10:23,500 I'm going to give you 10 seconds just to write this down. If you don't know anything, that's fine. 106 00:10:29,160 --> 00:10:29,610 Okay. 107 00:10:31,680 --> 00:10:38,250 As you pop out for your next patient, hoping to see a cup of coffee out there, you ask the receptionist if there was anything else about the show. 108 00:10:40,360 --> 00:10:45,070 Nice receptionist says to you. Oh, yes. Her mom said she had a rash or has a rash. 109 00:10:46,670 --> 00:10:52,460 Okay. Write down the one thing that comes to your mind. You don't have to be a clinician here because remember, we're all parents. 110 00:10:53,540 --> 00:10:58,700 We all do this diagnostic every day. Okay. 111 00:10:58,910 --> 00:11:05,330 Number three, a child comes in to see a three year old is cries all for those? 112 00:11:05,330 --> 00:11:09,569 That's a runny nose. It's had a temperature for two days of 39 degrees. 113 00:11:09,570 --> 00:11:16,100 Three. The mom tells you that you check the temperature. The rash began this morning and is on the body and it's on the face. 114 00:11:17,750 --> 00:11:26,860 Write down what comes to mind now. Lots of you writing down only a few people activity wise. 115 00:11:27,790 --> 00:11:32,709 Okay, that is the rough. You say I want to look at the rough. That's the rough bit. 116 00:11:32,710 --> 00:11:36,340 Slightly out of focus. Write down. 117 00:11:36,340 --> 00:11:44,080 What? What? Some people are looking at that going, Oh my gosh, the GPU's at the back of the room are going. 118 00:11:44,350 --> 00:11:53,080 There we go. Okay. Before you discuss with the mother what you consider the diagnosis to be, you ask her what she thinks it might be, 119 00:11:54,400 --> 00:11:59,770 and the mother says to you, Well, I'm particularly concerned because at nursery at the moment, there's a lot of children with chickenpox. 120 00:12:01,390 --> 00:12:15,870 Write down what you think the diagnosis is now. Okay. 121 00:12:16,200 --> 00:12:20,230 So let's start here. What did people put down here as a possible diagnosis? 122 00:12:20,250 --> 00:12:29,760 Only one piece of information such as urinary tract infection, infection, flu. 123 00:12:32,040 --> 00:12:35,310 Tonsillitis. Meningitis. 124 00:12:37,360 --> 00:12:43,520 Anyone with any viral illness. Okay, so simple pieces of information. 125 00:12:43,540 --> 00:12:49,510 Single pieces of information. However much you think nothing's going on is setting off a trigger already in your mind. 126 00:12:50,920 --> 00:12:53,950 Immediately. We're starting to think diagnostic strategies. 127 00:12:56,810 --> 00:13:03,720 Okay. You got the second piece of information. And what do people think now? 128 00:13:04,140 --> 00:13:08,010 Measles. Measles, meningitis. 129 00:13:10,340 --> 00:13:18,200 Okay. Wherever I've been. That's about the two two particular diagnosis that everybody jump forward is particularly the meningitis. 130 00:13:19,340 --> 00:13:22,970 Particularly apart from emergency departments, where now they're completely lost. 131 00:13:23,480 --> 00:13:28,400 But everybody goes in that direction. Okay. Got this additional information. 132 00:13:30,050 --> 00:13:35,570 What do people think then? Chicken pox. 133 00:13:35,870 --> 00:13:39,980 Measles. What did you think? Chicken pox. Anybody else think chicken pox at this time? 134 00:13:42,320 --> 00:13:45,560 One, two, three, four, five. Okay. 135 00:13:45,740 --> 00:13:49,910 That's a classical textbook definition of how you diagnose chickenpox. 136 00:13:51,220 --> 00:13:54,530 Okay. That's exactly how it appears in the textbook. 137 00:13:54,550 --> 00:13:59,410 That's what we teach people. Only four or five of you actually could recognise a. 138 00:14:00,460 --> 00:14:04,210 What about this? Okay, a lot of you are now more certain. 139 00:14:05,350 --> 00:14:09,570 Okay. And what about when the mother said she had chickenpox? 140 00:14:11,390 --> 00:14:15,390 Oh, she was worried about the nurse. Does anybody what do people think it potentially of now? 141 00:14:16,140 --> 00:14:25,320 Okay, I'm going to illustrate. So what we've done there is we've used what are called the initiation strategies, initiation of the diagnosis. 142 00:14:25,590 --> 00:14:31,440 You've used for possible strategies to initiate the diagnosis, the spot diagnosis with the picture. 143 00:14:31,590 --> 00:14:34,530 Some people can immediately key into the spot diagnosis. 144 00:14:34,950 --> 00:14:42,180 The self labelling patients or the professionals will ask you or tell you there is a particular thing they are concerned about. 145 00:14:42,420 --> 00:14:49,540 Can you look at this patient? I'm concerned. They have cellulitis. I'm concerned about having a chest infection in this case. 146 00:14:49,750 --> 00:14:57,370 The mother was concerned about other children with chickenpox presenting complain does set off of actual strategy. 147 00:14:57,370 --> 00:15:02,170 But what you could see at the presenting complaint stage is you got a wide variety of possibilities. 148 00:15:03,200 --> 00:15:08,600 And then actually we got this pattern recognition trigger. It relies on a particular memory. 149 00:15:08,840 --> 00:15:15,020 Only a few people have some memory of that. Recognises the actual pattern of chickenpox. 150 00:15:16,670 --> 00:15:24,170 Okay. So we've actually done this, we've gone forward as an actual piece of work actually with our GP's in Oxford to say do these exist? 151 00:15:24,590 --> 00:15:30,500 And actually this is just a piece of diagram where they collected 50 new cases and said What initiates the strategy? 152 00:15:30,770 --> 00:15:38,839 Each circle represents one of the gaps and as you can see, if they add up to more than 100%, 153 00:15:38,840 --> 00:15:43,960 so you use more than one strategy at any one time to trigger the possibility. 154 00:15:45,660 --> 00:15:54,030 So you can see here. Now, this is important. About 20% of diagnoses in primary care rely on a diagnosis. 155 00:15:55,570 --> 00:15:58,900 Now, Mark, you're an undergraduate or a teacher in general practice. 156 00:15:59,260 --> 00:16:03,190 How much diagnosis do you think we actually take in the medical education? 157 00:16:05,360 --> 00:16:10,280 A law that I never had any teaching of spot diagnosis. 158 00:16:11,270 --> 00:16:16,130 One in five of my presentations rely on some instantaneous recognition of the problem. 159 00:16:19,630 --> 00:16:28,690 I like this self labelling. In fact, actually and I'll come back to this put in the when I did this with the emergency department registry, 160 00:16:28,690 --> 00:16:32,800 I actually believe that you would ask the patient in some way they would be correct. 161 00:16:35,140 --> 00:16:39,310 Okay. They said the only time they took notice of self labelling was when you actually 162 00:16:39,310 --> 00:16:44,020 got right to the end of the consultation and you had no idea what was going on. 163 00:16:45,280 --> 00:16:54,730 Then it was worth actually asking the patient. You can see here, presenting complaint always triggers off some hypothesis almost quite a lot of time, 164 00:16:54,910 --> 00:16:58,660 and the pattern recognition is actually a smaller component, but it still exists. 165 00:17:00,910 --> 00:17:04,040 Okay. So I want you to do this one more. Go at this. 166 00:17:04,060 --> 00:17:08,950 This is actually this is last week in practice. Last Monday, this is Miriam, an eight year old. 167 00:17:09,850 --> 00:17:18,100 So I want you to think of the four possible strategies. And then soon as you come up with a diagnosis in your mind, I want you to put your hand up. 168 00:17:19,840 --> 00:17:26,530 So Miriam comes in to see me. She thought, what's? And you know, and you go out to get the patient and she walks in a little bit slowly. 169 00:17:26,770 --> 00:17:31,749 Not too bad. Doesn't look, but, you know, hunched over a little bit, comes and sits down. 170 00:17:31,750 --> 00:17:39,399 Okay. And I say, you sit there as a GP and you try and not say too much and you sit there and I go, okay, Miriam, what can I do for you? 171 00:17:39,400 --> 00:17:44,440 And she said, I've got a problem with diarrhoea and a bit of flu. 172 00:17:46,440 --> 00:17:51,480 And I've not been feeling too well. I'm listening, and I'm trying to encourage you not to interject. 173 00:17:52,530 --> 00:17:58,530 And I've got back pain. I'm going. 174 00:17:59,400 --> 00:18:02,400 Okay. Tell me about the back page. That's been pretty painful, actually. 175 00:18:03,930 --> 00:18:07,270 It's down in the lower bit here. Nobody's got the handle yet. 176 00:18:07,290 --> 00:18:10,700 You're all cagey. So I've got this. Oh, Paul's got his hand up. 177 00:18:10,710 --> 00:18:15,420 Good. I've got the back pain here, and it comes around the side. 178 00:18:17,020 --> 00:18:20,770 I think diarrhoea, gastroenteritis, old lady back pain. 179 00:18:20,770 --> 00:18:24,579 And it comes around the side. I said anything funny about this? 180 00:18:24,580 --> 00:18:29,540 She says, yes, and I've got a rash as well. Another person putting their hand up. 181 00:18:30,680 --> 00:18:34,400 Okay. I said, What about this? She said, Well, it's tingling. 182 00:18:36,300 --> 00:18:41,590 Okay. The more hands are going up. And so I said to her, So what do you think? 183 00:18:41,610 --> 00:18:45,840 I said, Can I have a look at this rash, if you don't mind? Okay, there's the rash. 184 00:18:48,510 --> 00:18:53,520 And then I asked her, What do you think it is? He said, My husband had something similar to this. 185 00:18:55,640 --> 00:18:59,370 I think it was called shingles. Okay. 186 00:18:59,370 --> 00:19:03,150 So some of you then. And that's the example there. That's how I think. 187 00:19:04,410 --> 00:19:10,400 Did you see what was happening? Was going in the wrong direction in the first place with the diarrhoea and the gastroenteritis? 188 00:19:10,410 --> 00:19:14,280 I was thinking, this patient has gastroenteritis. I shifted focus. 189 00:19:15,650 --> 00:19:18,709 Because she said back pain. Back pain can come with abdominal pain. 190 00:19:18,710 --> 00:19:22,310 You start to get a bit more worried. But then she starts a rash. 191 00:19:22,310 --> 00:19:26,600 We get in a pattern, a period. And I had the tingling and some people went bang. 192 00:19:27,350 --> 00:19:32,960 Some people can look at that and go, that is shingles can look at a patient and say, that is shingles. 193 00:19:33,560 --> 00:19:39,550 Some people have never seen it before. And then when she qualified it by saying, My husband have it. 194 00:19:40,640 --> 00:19:47,090 We can build the information off of how I think initially and that's the end of my diagnosis, in fact, 195 00:19:47,090 --> 00:19:51,700 because I shut my mouth for 2 minutes and thought about where my strategy for that's the end. 196 00:19:51,710 --> 00:19:55,430 I can then move into the consultation about what we're going to do for this patient. 197 00:19:56,390 --> 00:20:01,969 So that's the initiation. Okay, I'm going to get you to think now, 198 00:20:01,970 --> 00:20:06,680 but you've got some I'm going to give you an activity for a few minutes just to illustrate some of these points. 199 00:20:07,190 --> 00:20:10,519 So at the moment, you've all got this little quiz. So I'm going to give you about 2 minutes. 200 00:20:10,520 --> 00:20:12,410 I'd like you to just have a go at this quiz. 201 00:20:17,280 --> 00:20:26,160 Now for the highest scoring person in the quiz, I have two copies of the User's Guide to the Medical Literature to give away. 202 00:20:26,550 --> 00:20:32,010 So there's an incentive. These are not by Blackwell's, by the way. 203 00:20:32,610 --> 00:21:12,750 They can't buy them at the bookshop. Okay. 204 00:21:13,140 --> 00:21:19,470 Good, good. Now I need to remind myself of the questions. 205 00:21:21,210 --> 00:21:24,750 Question one Was this here is this. 206 00:21:27,120 --> 00:21:32,520 John four Give yourself a month. If you put John for all, inspect them off. 207 00:21:34,230 --> 00:21:40,170 I'll give you a mark for inspect them. All he's got here is John four. 208 00:21:40,170 --> 00:21:48,990 You'll have to agree with that. What neurological condition does John feel forth have stuck with about Parkinson's? 209 00:21:49,860 --> 00:21:55,680 Because I call foot drop. Give yourself a mark. If you've got foot drop, how many people got foot drop? 210 00:21:57,390 --> 00:22:02,640 All people. How many people? Watch Inspector Morse. Now, you could have a mark for polio. 211 00:22:02,640 --> 00:22:05,760 Lots of you. Now, John, for every episode walks like this. 212 00:22:05,910 --> 00:22:11,010 The cameras caught him off, but he walks like this. He had polio as a child and he got dropped. 213 00:22:11,430 --> 00:22:16,650 And if you're watching another edition, you'll see walks like this. The camera often cuts him off there. 214 00:22:16,920 --> 00:22:20,540 But if you don't know that to spot that, you will not be able to get that. 215 00:22:23,140 --> 00:22:26,380 Okay. The next question. Question three What's this? 216 00:22:27,990 --> 00:22:32,340 PADGETT Well, we know we're going to get full. 217 00:22:32,670 --> 00:22:37,980 The question for what bridge is this, which is okay. 218 00:22:38,160 --> 00:22:46,050 And the question five is, which is the nearest pub, my favourite pub, apart from the white horse next to Blackwell, the Turf Tavern. 219 00:22:48,330 --> 00:22:55,920 If you haven't been down that street, you can't recognise it. You see that if you have been down that street, you can instantly recognise that. 220 00:22:57,120 --> 00:23:01,290 If you haven't been to the Turf Tavern, what you should consider going there before you leave. 221 00:23:02,580 --> 00:23:10,290 It's a very nice place to go for a drink if you can find it. But that's a good illustration of what I call a spot diagnosis. 222 00:23:11,160 --> 00:23:15,660 There's no either or. You can't make it up. I can't give you additional information. 223 00:23:16,080 --> 00:23:23,100 You either do know it or you don't. So there are lots of areas in your in your when you go back to your health care, 224 00:23:23,100 --> 00:23:28,979 whether it's midwifery or nursery or it's in general practice, where you can say, actually, what are the spot diagnoses? 225 00:23:28,980 --> 00:23:33,840 Our students need to know. Remember the 20% an experience will gain them. 226 00:23:34,710 --> 00:23:37,800 Question six What's this? Okay. 227 00:23:38,640 --> 00:23:42,720 Question seven Is the building what's this? 228 00:23:43,320 --> 00:23:52,500 Divinity school? The divinity school. It's part of the Bodleian Library and it's been in Harry Potter. 229 00:23:54,190 --> 00:23:58,950 Okay. I, too, have some discriminatory questions in case you're really smart and you've done this before. 230 00:23:59,520 --> 00:24:04,360 And the last one. It's conjunctivitis. 231 00:24:05,920 --> 00:24:10,570 Okay. Anybody score ten, nine, eight. 232 00:24:12,310 --> 00:24:21,219 Gotcha. I'll make an easier test. Seven, seven, seven, six, six. 233 00:24:21,220 --> 00:24:24,400 For Mike and another chap at the back there. 234 00:24:24,820 --> 00:24:28,780 Congratulations. Now, if you give that one to Mike as well. 235 00:24:28,930 --> 00:24:33,960 Now, it's an important point. I wanted to do that just to reinforce about the issue of spot diagnosis. 236 00:24:33,970 --> 00:24:37,840 It's about experience. You can all see that you have to see these things. 237 00:24:38,050 --> 00:24:42,090 You have to see these things in practice to know what you're doing. Okay. 238 00:24:42,520 --> 00:24:47,830 Self labelling by patients in GP consultations. Let me get up to 50 cases. 239 00:24:48,100 --> 00:24:51,400 This is what patients often came in with tonsillitis. 240 00:24:52,810 --> 00:24:58,270 I've had it before, Doctor, and I've got tonsillitis again. I have a chest infection, Doctor. 241 00:24:58,270 --> 00:25:02,620 I'm sure we'll all recognise. I don't. I have a groyne strain. 242 00:25:02,950 --> 00:25:06,110 I have. Most people know when they've got growing ankle sprain. 243 00:25:06,120 --> 00:25:11,080 That's primary cold. I have asthma. Even new people who've never had it before. 244 00:25:11,470 --> 00:25:15,220 And I have a UTR, just like the last time. This is women. 245 00:25:16,300 --> 00:25:17,560 So this is an interesting one. 246 00:25:17,740 --> 00:25:24,550 If you have a patient who labels themselves as having a urinary tract infection, a woman who's had a recurrent urinary tract infection. 247 00:25:24,970 --> 00:25:32,860 How often are they likely to be correct? So that's this is going to be now an interesting question that I asked, because this is what happened. 248 00:25:34,360 --> 00:25:38,780 Okay. We formulated a question like we know know how to do it slightly different. 249 00:25:38,800 --> 00:25:46,270 Here we have the indicator or the intervention or the test. And this was the question I was interested in, in a woman with recurrent uterine. 250 00:25:47,500 --> 00:25:52,900 Can she treat herself? And how well does that compare to a microbiological culture? 251 00:25:53,290 --> 00:25:56,589 And is she correct in the diagnosis and treatment, though? 252 00:25:56,590 --> 00:26:01,989 Basically, can a woman who's had a UTI before come into my surgery tell me she's got a urinary tract 253 00:26:01,990 --> 00:26:07,420 infection again and I feel certain or secure that she's pretty accurate in what she's doing. 254 00:26:08,820 --> 00:26:10,620 Okay. So we looked on PubMed. 255 00:26:10,620 --> 00:26:18,900 Now you're all familiar with and there's a particular trial in 2001 in the Annals of Internal Medicine that actually matches our question. 256 00:26:20,020 --> 00:26:23,290 There's a recurrent urinary tract infections in young women. 257 00:26:23,980 --> 00:26:29,020 Patient initiated treatment of uncomplicated OC. 258 00:26:29,170 --> 00:26:35,620 And here's a measurement of the accuracy of self-diagnosis determined by evidence of a definite culture, 259 00:26:35,620 --> 00:26:40,900 positive or probable sterile period and no alternative diagnosis. 260 00:26:44,240 --> 00:26:50,160 Okay. And here's the outcome. 88 of 172 women self-diagnosed. 261 00:26:50,160 --> 00:26:59,300 The total of 172 UK laboratory evaluation showed a euro pathogen in 144 cases 84%. 262 00:27:00,860 --> 00:27:08,450 So if a woman comes in to see me tomorrow is had a urinary tract infection and says, I have another one, what do you think I do? 263 00:27:10,810 --> 00:27:15,220 Do you think I send off a culture? You think I just relax and go? 264 00:27:15,230 --> 00:27:17,650 Here you go. Here's your prescription. I believe you. 265 00:27:17,650 --> 00:27:23,590 I make sure she's telling me the right story of the symptom, but in effect, she's about 85% correct. 266 00:27:24,280 --> 00:27:30,970 However, the thing is, with self labelling, lots of areas where we don't know where people are very good at self labelling. 267 00:27:32,620 --> 00:27:37,720 Yeah, all these other areas. But in that area I feel I have some evidence to back me up. 268 00:27:38,110 --> 00:27:41,130 I've changed the way I practice in effect. Okay. 269 00:27:41,980 --> 00:27:45,400 I'm going to move on now to what we call refinement of the diagnosis. 270 00:27:45,400 --> 00:27:48,640 I've showed you areas where you can simply jump in and go there. 271 00:27:48,730 --> 00:27:55,000 The diagnosis, chickenpox, shingles, urinary tract infection. 272 00:27:55,210 --> 00:28:00,400 There are quite a lot of them. But some areas what we end up with is uncertainty. 273 00:28:00,550 --> 00:28:09,310 We have a certain idea that there are two or three possibilities now, and what we'd like to do is to refine that to a single most likely cause. 274 00:28:10,000 --> 00:28:14,260 So the second area we found is what we call refinement of that diagnosis is you set 275 00:28:14,260 --> 00:28:18,309 off your hypothesis like at the beginning when we said this could be chicken pox, 276 00:28:18,310 --> 00:28:25,090 measles, it could be upper respiratory tract infection, but you need a number of rules or ideas to be able to help you. 277 00:28:25,330 --> 00:28:33,490 And these four, five rules we came apart particularly one is that all strategies are wanting to restrict the rule to is a stepwise refinement. 278 00:28:33,760 --> 00:28:38,740 The third is probabilistic reasoning and so forth with pattern recognition. 279 00:28:38,980 --> 00:28:46,260 Fit on the 50. The clinical prediction now. I'm going to explain some of these, how we use them and how we might use them. 280 00:28:47,310 --> 00:28:52,140 Okay. Restricted rule out. This is very interesting. This is new to me in the last two years. 281 00:28:52,890 --> 00:28:55,860 Is it a learned diagnostic strategy for each presentation? 282 00:28:56,430 --> 00:29:01,950 And there's a particular guy down the bottom here called John Murtagh from Australia who wrote a whole book about this. 283 00:29:02,340 --> 00:29:05,520 It's about common problems and a safe diagnostic strategy. 284 00:29:06,270 --> 00:29:09,990 And what you do is you try and find out what the common causes of the disease. 285 00:29:10,770 --> 00:29:15,330 And also what you're really interested in is what's going to kill you or cause you real harm. 286 00:29:16,950 --> 00:29:22,350 So, for instance, in a headache, it's very difficult in a headache to jump in and say there's a single core. 287 00:29:23,670 --> 00:29:29,340 But what you would do is to check for particular common causes, migraine tension type headache. 288 00:29:29,700 --> 00:29:37,140 But you also want to rule out the the other causes high blood pressure, temporal arthritis and subarachnoid haemorrhage. 289 00:29:39,280 --> 00:29:48,760 And in fact, Amanda talked to me the other day about your dad or his good friend and his temporal doctor and his headache and the pulsatile vein. 290 00:29:49,180 --> 00:29:53,020 And a restricted rule would have allowed you to pick that up because although 291 00:29:53,020 --> 00:29:57,310 you'd have got into the Common Core and remember at the beginning I said in you, 292 00:29:57,580 --> 00:30:04,690 we make mistakes, we look at things, and we go in and we jump in and we say, this is a migraine, but rules. 293 00:30:04,690 --> 00:30:10,930 And there are a number of these that can be applied. When you've got serious issues, you have to stop and think of the one or two causes. 294 00:30:15,080 --> 00:30:18,860 Prediction role. Okay. This is an interesting one. 295 00:30:18,860 --> 00:30:25,280 Prediction. Which ones do you use in practice? How many people who use a prediction rule? 296 00:30:27,950 --> 00:30:32,360 To people at the back. I'm going to exclude them because I know that I might use this one. 297 00:30:32,990 --> 00:30:36,410 Might urine three. Okay. Okay. 298 00:30:36,440 --> 00:30:44,510 Clinical prediction rules are like at the beginning when I did with the car, we're an attempt to put measurement in some way to help with what we do. 299 00:30:46,920 --> 00:30:56,829 There are a number of the GP's used. When we did this ultra uncool streptococcal full throat rule ABCD school for 300 00:30:56,830 --> 00:31:02,890 stroke risk had school for depression well rule for DVT and chest infection. 301 00:31:04,640 --> 00:31:08,310 Now this is slightly skewed population because all these are academic GPAs. 302 00:31:09,530 --> 00:31:15,770 So when you get a bunch of academic GP's together in a university department, you can get to about six prediction rules that are helpful. 303 00:31:17,430 --> 00:31:22,700 So it's not surprising when you're in a non-academic setting. But the number is often zero. 304 00:31:24,200 --> 00:31:29,090 But some of you may have heard of some of these. In your mind, you might have heard of things like the auto rental world. 305 00:31:30,620 --> 00:31:35,360 So the auto rentals that will take you, for instance, can you predict which patients have an ankle fracture? 306 00:31:37,560 --> 00:31:43,470 You can use clinical queries here again. In fact, I went into the systematic review here for ankle and rule. 307 00:31:45,580 --> 00:31:51,940 And before their BMJ systematic review the accuracy of of proof to exclude fractures of the ankle and midfoot. 308 00:31:52,210 --> 00:31:56,170 Systematic Review. There's a 22nd search for you. 309 00:31:56,770 --> 00:32:00,250 Okay. That's how useful clinical queries can be. 310 00:32:01,490 --> 00:32:05,380 You can look for systematic reviews in diagnosing. Okay. 311 00:32:05,560 --> 00:32:14,770 Let's go to Uncle Ruth. I put this up in an emergency department where they all said they'd heard of the old one call rules. 312 00:32:15,580 --> 00:32:24,610 I did what we did now, and I did that. Okay. I removed it from the speech, and I asked people to say, tell me, what is your uncle rule? 313 00:32:27,690 --> 00:32:31,460 This is what worried me now. Not one single person in the room. 314 00:32:31,470 --> 00:32:36,480 This is about 25 people could actually tell me the rule or the same variant of the rule. 315 00:32:38,440 --> 00:32:42,310 So we have these things that are incredibly helpful and I'll show you how helpful they are. 316 00:32:42,550 --> 00:32:46,810 But we have no strategy and have not worked out any way how to get them into practice. 317 00:32:47,650 --> 00:32:52,740 And all we ever get is how do we change practice at the back here? Do you see the problem? 318 00:32:53,100 --> 00:32:56,220 We've got simple things that will help us really well, and they're being ignored. 319 00:32:56,850 --> 00:33:00,930 We don't need to have fancy change. However, we need to develop this from the bottom up. 320 00:33:00,960 --> 00:33:06,720 You need to go back to your own practices, and if you did one thing, you could say, well, which room would help us in our practice? 321 00:33:07,470 --> 00:33:15,840 But let's look at how helpful the outward ankle rule with this instrument has a sensitivity of almost 100% and a modest specificity, 322 00:33:15,870 --> 00:33:21,330 and its use should reduce the number of unnecessary radiographs by 40% 30 to 40%. 323 00:33:23,830 --> 00:33:28,510 So if you apply that rule, you actually say there's a lot of money and a lot of hassle for patients. 324 00:33:29,650 --> 00:33:33,070 However, a GP is pretty smart in our place called Peter Roth. 325 00:33:33,070 --> 00:33:38,709 What he does is he actually keeps about these on his desk in a little car and he pulls 326 00:33:38,710 --> 00:33:41,740 out the wheels when he needs it and he pulls out the picture of this when you need it. 327 00:33:42,280 --> 00:33:44,710 Because if you get it wrong, you don't get the benefits you'd expect. 328 00:33:46,200 --> 00:33:52,230 So you could go back and you can look at this in any setting and determine which prediction rules might help you. 329 00:33:52,440 --> 00:33:59,309 But here's the problem. Now, if this goes out live, I might get in trouble with the if it went out on the net. 330 00:33:59,310 --> 00:34:01,560 But essential evidence plus is out there for sale. 331 00:34:01,620 --> 00:34:09,060 Some people of you might have bought this info point book and I was looking at this is a particular chap in our department called Matthew Thompson, 332 00:34:09,330 --> 00:34:15,720 who is reviewing it at the moment for us. And I don't know if you can see that just at the top, just there. 333 00:34:17,660 --> 00:34:26,660 How many? This is a clinical prediction rules that are 291 of these prediction rules in the essential evidence plus. 334 00:34:30,030 --> 00:34:33,389 You think that's a lot? Maybe not a lot of you. 335 00:34:33,390 --> 00:34:44,820 Not for a lot. What do people think? So I've given you 300, probably overwhelms you in some way. 336 00:34:46,770 --> 00:34:49,440 We haven't worked out of them, which would be useful. 337 00:34:51,560 --> 00:34:56,030 People have actually sat in their setting and said, Well, which ones do we think would help us in our practice? 338 00:34:56,360 --> 00:35:00,080 And just supplying free prediction rules is a waste of time. 339 00:35:01,010 --> 00:35:04,820 Any instrument that just froze them in your face is a waste of time because it's too many. 340 00:35:05,060 --> 00:35:11,660 And you haven't looked at the evidence and looked at your patient population and how it might help you and how it might affect how you practice. 341 00:35:12,890 --> 00:35:15,890 So just giving you a top down approach is a waste of time and prediction. 342 00:35:16,070 --> 00:35:19,550 You need to do it from the bottom up. Okay. 343 00:35:20,570 --> 00:35:24,290 I particularly like this one. This was the bit where we talked about pattern recognition. 344 00:35:27,480 --> 00:35:35,290 This was in the BMJ. Actually, I pointed out the BMJ, a 49 year old with severe flare up of ulcerative colitis, 345 00:35:36,010 --> 00:35:41,500 gets admitted to a hospital and she receives intravenous hydrocortisone. 346 00:35:42,460 --> 00:35:47,860 Amino salicylate and cyclosporine treatment because she's pretty and well and all that was started. 347 00:35:48,850 --> 00:35:53,830 And after seven days she was then given oral prednisolone at about 60 milligrams per day. 348 00:35:55,570 --> 00:35:59,560 And every day after that she started to write this note to the junior doctor. 349 00:36:01,870 --> 00:36:07,330 Every time you turn off, we get this pitch, this card. Day seven, day eight, day nine, day ten. 350 00:36:09,030 --> 00:36:14,350 What for? Diagnosis mania. And what's causing the mania. 351 00:36:15,190 --> 00:36:23,980 Steroids. Do I need to have probabilistic reasoning or likelihood ratios now that the pattern recognition fit? 352 00:36:24,520 --> 00:36:29,590 She's gone manic. She's gone psychotic, if you like, on a background of too many steroids. 353 00:36:30,470 --> 00:36:37,540 There's a pattern recognition that, okay, so we build in the number of different strategies that you can employ and think about and teach about. 354 00:36:38,380 --> 00:36:42,220 You don't need to know a two by two table. You don't need a calculation. 355 00:36:43,600 --> 00:36:47,420 You just need to know that these sort of patterns exist and they're helpful. 356 00:36:47,440 --> 00:36:50,740 You won't see a lot. Okay. 357 00:36:52,840 --> 00:36:56,260 This is the panacea, I guess, of all evidence based practice. 358 00:36:56,260 --> 00:37:03,190 And this is about five years ago, and this is the only bit of what people used to teach. 359 00:37:03,490 --> 00:37:08,750 Okay? He used to teach what's called probabilistic reasoning in a two by two box and it's in you. 360 00:37:09,040 --> 00:37:13,540 And it used to be if people could grind their way through this two by two box and understand this, 361 00:37:14,410 --> 00:37:19,240 then, boy, they want one of you in the room would stand up at the end and think, I am an IBM God. 362 00:37:20,290 --> 00:37:24,160 But most of us would go, Oh my God, what's this going to help us in practice? 363 00:37:24,790 --> 00:37:29,440 However, we're going to have a bit of fun for about ten, 15 minutes if you want to keep going. 364 00:37:30,190 --> 00:37:34,929 Nobody fell asleep yet. That's good. We can have ten or 15 minutes where we're going to. 365 00:37:34,930 --> 00:37:38,830 Really? I'm going to really test you. I'm going to ask you to just think. 366 00:37:39,250 --> 00:37:46,660 And if you can get these one or two principals on board, actually, you'll be far superior than most people out there in the health professional. 367 00:37:46,930 --> 00:37:52,300 But before I do that, I'm just going to give you a 20/32 break so you can get yourself ready to concentrate again, 368 00:37:52,630 --> 00:37:56,530 so you can have 30 seconds just to talk with your partner, and then I'm going to start again. 369 00:38:11,480 --> 00:38:18,920 I want you to get better now. 370 00:38:20,840 --> 00:38:29,110 I need you down in a minute. Okay. 371 00:38:29,120 --> 00:38:36,470 Good. 30 seconds gone. We've got a lot to achieve. 372 00:38:36,490 --> 00:38:40,719 Okay. You've all seen this wonderful graph and this is the graph. 373 00:38:40,720 --> 00:38:45,310 And you can you can. It's in your book. So I'm not going to go I'm just going to talk to you about a couple of bits. 374 00:38:45,880 --> 00:38:49,930 I've got this extra hour in there called Reproducible. This is not in the workbook. 375 00:38:50,830 --> 00:38:54,910 I want it in the next edition of the workbook Pull because it's a lot of fun. 376 00:38:55,150 --> 00:38:58,510 And here's something that you can all try out when you get back to your workplace. 377 00:38:59,540 --> 00:39:04,459 Okay. When we normally do this, have a lot of fun. 378 00:39:04,460 --> 00:39:10,730 When I'm in a big arena with lots of tables and I get you to all do this on each other and you can try this out when you get back. 379 00:39:10,730 --> 00:39:16,940 I get three or four students and I get you to measure one head. However, the problem is a bit confined and I can't get you all to do this. 380 00:39:17,360 --> 00:39:20,439 However I'd like. Mike, can you just come down? 381 00:39:20,440 --> 00:39:23,540 Might from it. Can you just illustrate the principle here for me? 382 00:39:24,080 --> 00:39:30,920 So what we do normally is in a big setting, in an open plan, I get three or four, even if I can imagine one head and just not tell him the result. 383 00:39:30,920 --> 00:39:34,370 So I, I might just imagine my whole life is yeah, I know. 384 00:39:34,400 --> 00:39:38,890 Just the head job. 385 00:39:39,020 --> 00:39:45,979 You take a few inches off like usual. Oh you. Oh, dear. 386 00:39:45,980 --> 00:39:49,820 That's changed. Okay. How about 59.5? 387 00:39:50,030 --> 00:39:54,260 Okay. 59.5 centre. Thanks, Mike. Give Mike a round of applause. 388 00:39:55,340 --> 00:40:02,030 Okay. Some of you may notice that coffee time I came around asking people to give me their measurement of my head. 389 00:40:02,570 --> 00:40:07,969 Okay. And I did this. 390 00:40:07,970 --> 00:40:11,330 What I called Amanda gave me this idea this morning. It was fantastic. 391 00:40:11,330 --> 00:40:15,440 One of the potters. I won't share the Potters, but I thought, okay, I coffee time. 392 00:40:15,440 --> 00:40:20,389 I'm going to do my own study. What I'm going to do is I'm going to take my tape measure. 393 00:40:20,390 --> 00:40:25,730 And that's why I started with mine. And I'm going to take the tape, measure enough people to measure my head circumference, 394 00:40:26,120 --> 00:40:30,860 and I'm going to stop doing that when somebody gets the same phone answer. 395 00:40:32,070 --> 00:40:39,720 Okay. So if you do 59.5, then did you if the next person had got 59.5, I would have stopped. 396 00:40:44,080 --> 00:40:47,500 And how many people do you think it would take before I got the same measurement? 397 00:40:50,060 --> 00:41:02,180 Within exactly the same measurement. Well, people were measured at 201.5, although doing it 12 1225. 398 00:41:02,800 --> 00:41:06,250 Right. Okay. Let's look at the look how we did. 399 00:41:06,820 --> 00:41:12,750 Okay, Mike, you're out again. Mike got 59 centimetres and I went to Etna. 400 00:41:13,240 --> 00:41:16,360 I'm not sure if I spelled that right, but I did. I did some odd. 401 00:41:16,360 --> 00:41:20,770 She went in two inches 23 and a half inches. 402 00:41:20,780 --> 00:41:24,400 So I didn't do the conversion factor there, but I was already in total. 403 00:41:25,340 --> 00:41:28,719 Okay, pull that went to 60.5 centimetres. 404 00:41:28,720 --> 00:41:34,810 So we went up. Okay. And Julie then went 63 centimetres. 405 00:41:35,800 --> 00:41:40,060 Mike had said at the beginning, didn't he? Are we doing that? He said to me, We're doing this because your head's getting bigger. 406 00:41:41,940 --> 00:41:49,269 Have to prove mine. However, Katherine said something very important to me. 407 00:41:49,270 --> 00:41:55,300 She said, Does it matter where I measure it? I'm going to let you think about that yourself. 408 00:41:55,480 --> 00:41:58,860 Actually, my head size went down at that point. 61 nine. 409 00:41:59,470 --> 00:42:04,480 Okay, then bang. He said to me, What is happening with your head? 410 00:42:07,880 --> 00:42:12,950 59.5. Does anybody know what's happening with my head? 411 00:42:14,480 --> 00:42:19,130 Because according to me, it gets bigger and smaller after a cup of coffee. 412 00:42:20,330 --> 00:42:26,930 Okay, Amanda, 61.5. Now, Amanda had seen these measurements because I said this is what I'm doing. 413 00:42:27,170 --> 00:42:30,800 So she turned it over to the inches and said, Well, I'll just do it inches and then convert it back. 414 00:42:32,360 --> 00:42:36,979 Still no help. Claire. Claire at the back there, 60 centimetres. 415 00:42:36,980 --> 00:42:41,900 So I'm up to number eight person, I think. And Jean, I'm not going to get back to my group now. 416 00:42:42,410 --> 00:42:46,600 And luckily down there came in at 59.5, which is the same as bang, bang. 417 00:42:48,320 --> 00:42:54,310 Peter. I don't want to confuse my group anymore. 418 00:42:56,470 --> 00:43:00,500 Important principle. Do you see that about measurements? Very important. 419 00:43:00,520 --> 00:43:04,570 There are some nice statements there. People are asking, do you want to send me to the trenches? 420 00:43:04,780 --> 00:43:08,410 Does it matter where I measure it? What is actually happening with my head? 421 00:43:10,460 --> 00:43:15,820 You know, they used to use a tape measure in children when they had meningitis and it got up by seven millimetres. 422 00:43:16,570 --> 00:43:22,550 Then they'd ordered an urgent three CT scan. I'm not sure what they'd order on me. 423 00:43:24,080 --> 00:43:29,660 However, a tape measure I got taught to use this in obstetric practice. 424 00:43:30,680 --> 00:43:34,569 It varies by up to five centimetre. In fact, 425 00:43:34,570 --> 00:43:40,780 a friend of mine this happened to who actually ended up with this situation and said you 426 00:43:40,780 --> 00:43:44,620 need a scan because I'm concerned that your baby is undersized by five centimetres. 427 00:43:45,490 --> 00:43:51,460 However, the scan was not available for one week. Do you think she felt bad and anxious in that period? 428 00:43:52,500 --> 00:43:58,480 You know, I think it's a it's a slight scandal that we do these things and then don't realise the consequences of what we've got to offer next. 429 00:43:58,840 --> 00:44:02,950 So if you teach people to measure and to do it this way, yes, we try and standardise it, 430 00:44:03,220 --> 00:44:06,970 but we should use these measurements to then say, what's our next action? 431 00:44:07,180 --> 00:44:11,170 How do we remember at the beginning about the cost, the problems we face? 432 00:44:11,560 --> 00:44:16,750 And so you often see this measure, which is not the measure in these tests, is about measure of agreement. 433 00:44:16,960 --> 00:44:22,660 How well do we agree? And at the bottom, you get this cap of value, bit like very good agreement. 434 00:44:22,660 --> 00:44:26,470 We can look at an x ray all the time and agree on what it failed at the top. 435 00:44:26,710 --> 00:44:33,490 0.2 we get the poor agreement and generally you look in this, but that's what you've just done. 436 00:44:33,700 --> 00:44:40,690 I think you'd agree that the nine people would probably be somewhere quite high up there in terms of agreement. 437 00:44:41,470 --> 00:44:46,720 So would we say that using a tape measure is a useful way of measuring the head circumference? 438 00:44:48,400 --> 00:44:53,170 Okay, so we wouldn't even move forward and that's an important defence. 439 00:44:53,920 --> 00:44:58,030 O. O Is the significance of the difference? 440 00:44:58,330 --> 00:45:02,380 Okay. Good point. Exactly. So in children it makes a difference. 441 00:45:02,800 --> 00:45:07,600 I think we showed my head could vary by about five centimetres. It's about the same as what happens with the following. 442 00:45:08,900 --> 00:45:14,360 And it's significant because it changes what you do next. You see that? 443 00:45:14,360 --> 00:45:20,420 And even if you same person come back to the same measurement, 2 hours later something different happened. 444 00:45:23,180 --> 00:45:26,960 So it's even standardising the person can have an effect on the agreement level. 445 00:45:28,100 --> 00:45:32,330 Okay. But I'm going to do the last thing now. 446 00:45:33,530 --> 00:45:39,170 Okay. Interpreting sensitivity and specificity. Panacea and remember is only one small strategy. 447 00:45:40,070 --> 00:45:44,780 And in fact, it's only about 5% of what we do in primary care. 448 00:45:44,990 --> 00:45:52,690 In hospital medicine, it's more. But there is this particular term sensitivity and specificity that probably, 449 00:45:52,770 --> 00:46:00,130 as everybody heard of them to anybody not heard of them since Amanda's not heard of them. 450 00:46:00,310 --> 00:46:03,910 Okay, good. Amanda, theme after class. 451 00:46:04,960 --> 00:46:09,400 Okay, good. Let's do this. We're going to do this now. I'm going to speed up a bit because we're running out of time. 452 00:46:09,550 --> 00:46:15,850 I think we're running out of time of about 5 minutes. Okay. I want you to spend you do this together with your partner on the side. 453 00:46:16,120 --> 00:46:21,309 And I want you to just think in small groups, what is the chance this patient of having this patient has? 454 00:46:21,310 --> 00:46:25,360 The disease. A disease with the prevalence of 3% must be diagnosed. 455 00:46:25,930 --> 00:46:32,890 There is a test for this disease. It has a sensitivity of 50% and a specificity of 90% given a positive test. 456 00:46:33,190 --> 00:46:37,389 What are the chances of the disease? Okay, I'll repeat that. 457 00:46:37,390 --> 00:46:43,120 While you think it through. Somebody rings you out like my dad on the end of the phone and said he's had a PSA 458 00:46:43,120 --> 00:46:49,870 test done and he's come back positive and his chances of having cancer are about 3%. 459 00:46:51,310 --> 00:46:55,840 And you look up and you see that the sensitivity of this PSA test is 50%. 460 00:46:57,700 --> 00:47:07,130 And the specificity of the test is 90%. Given a positive test, what are the chances of having that disease? 461 00:47:10,100 --> 00:47:14,290 Now. How many people would like to. How many people feel they can just help me? 462 00:47:14,480 --> 00:47:18,830 How many people feel I can really answer that question? One, two. 463 00:47:19,130 --> 00:47:22,340 Okay, good. All right. Well, won't do it then. Stop. Stop. 464 00:47:22,370 --> 00:47:30,320 Okay, relax. If only two people will move on. But generally, what happens is people generally answer about 50%. 465 00:47:31,190 --> 00:47:37,460 The high proportion of people will at once, and maybe some of you will and for never and some of you will answer all the way. 466 00:47:38,630 --> 00:47:46,100 It's quite difficult, isn't it, to do that? Very difficult to think through something about a strategy, about how you look at this problem. 467 00:47:48,300 --> 00:47:50,290 But that's the information we're asking you to look at. 468 00:47:50,310 --> 00:47:54,930 If you look in your books, it's going to tell you the sensitivity of this, this and the specificity of that. 469 00:47:56,220 --> 00:48:02,560 And no wonder everybody finds it difficult. So don't be worried, because when you do do this, the answer is 13%. 470 00:48:02,580 --> 00:48:08,130 And I'll show you doctors. With an average of 14 years expense experience answers range from 1 to 99%. 471 00:48:08,760 --> 00:48:16,020 Half of them estimating the probability of 50% is about a 1% chance of a clinical person getting it right. 472 00:48:16,260 --> 00:48:20,990 Okay. All right. Did you see that? 473 00:48:21,000 --> 00:48:24,270 I said I want to run a few tests on you just to cover my ass. 474 00:48:25,060 --> 00:48:29,220 That's the main reason people test. They don't understand. I'm going to walk you through this. 475 00:48:29,520 --> 00:48:33,479 And if you want, you can ignore me now. Or you can. Look, I have the sheet for you to take back. 476 00:48:33,480 --> 00:48:38,640 Just. You can use these spelling sheets to work through the thinking if you want to look at diagnosis. 477 00:48:38,940 --> 00:48:42,280 What? I'm going to show you how I think. Okay. 478 00:48:42,580 --> 00:48:46,930 The first thing is, what do we use a two by two table for? I don't use it for the calculations. 479 00:48:46,930 --> 00:48:50,570 I use it for thinking. I think my brain is here. 480 00:48:50,590 --> 00:48:54,910 Imagine if this is my brain. Okay. On the top is always disease. 481 00:48:55,870 --> 00:49:00,160 Okay. On the side is always test. I never move them around. 482 00:49:01,480 --> 00:49:05,709 Somebody today in our group wanted to move them around in terms of how we look at tables. 483 00:49:05,710 --> 00:49:09,130 And I was like, Don't do that to me. I've been having this way around for 14 years. 484 00:49:09,970 --> 00:49:15,670 I wanted to put the disease on the side. You're going to kill me. So this is an important thing in in your teaching, though. 485 00:49:15,700 --> 00:49:19,690 Whichever way you teach something, keep it the same amongst all of you. 486 00:49:20,350 --> 00:49:23,920 If you start to do things different ways, you'll confuse everybody. 487 00:49:24,250 --> 00:49:29,230 If we teach different ways in this group, one group will start to talk to the other group and get confused. 488 00:49:29,530 --> 00:49:33,070 But what I use this book for is actually for the definition. 489 00:49:34,180 --> 00:49:39,270 Okay. I draw a line down and I think to myself, disease. 490 00:49:40,400 --> 00:49:42,260 Going down is sensitivity. 491 00:49:42,980 --> 00:49:51,140 So when I talk about sensitivity, I'm talking about the proportion of people with the disease and I'm thinking about how many of them test positive. 492 00:49:52,070 --> 00:49:59,360 Do you see that? However, with the difficult thing about what I ask you is I asked you about what's called the positive predictive value. 493 00:49:59,840 --> 00:50:03,500 What happens if you have a positive test and you're all lost? 494 00:50:04,460 --> 00:50:10,310 But what I do is to remember the definition of sensitivity. I throw that and I just said, I gave to you. 495 00:50:10,460 --> 00:50:19,910 If you've got the disease and you test positive sensitivity, that the first piece of information is to use that sensitivity. 496 00:50:20,570 --> 00:50:24,890 Now, my group will know this because we spend about 2 hours on what I call natural frequency. 497 00:50:25,190 --> 00:50:33,860 I think in terms of treatment effects, in terms of diagnosis, in terms of 100 people, nothing else apart from sometimes in a thousand. 498 00:50:34,520 --> 00:50:39,740 But I think often the first bit of information I gave you there was a prevalence of 3% in every patient. 499 00:50:41,060 --> 00:50:44,930 And I split that into actually. What does that mean in terms of 100 patients? 500 00:50:45,980 --> 00:50:49,100 Three people had the disease. 97 did not. 501 00:50:50,570 --> 00:50:54,590 Okay. Everybody see that? Happy with that? 502 00:50:54,740 --> 00:50:58,150 Anybody not see that? Okay. 503 00:50:58,450 --> 00:51:03,550 Then I gave you a piece of information. I said the sensitivity was 50%. 504 00:51:05,690 --> 00:51:10,010 Which group of these people have the belief? The top bit. 505 00:51:10,940 --> 00:51:18,550 How many of them? Top people who test positive? One and a half. 506 00:51:20,210 --> 00:51:26,270 You see that? I'll go back. Three people had the disease. 507 00:51:26,600 --> 00:51:30,800 Sensitivity, 50%. Remember them going down the column. People who have the disease. 508 00:51:31,100 --> 00:51:35,480 The proportion of test positive was 50%. That's one and a half people. 509 00:51:36,470 --> 00:51:40,610 Now, in effect, I could stop there because that's probably more information than anybody ever needs, 510 00:51:41,450 --> 00:51:46,100 because now you can realise if you have a positive test, some people still will be left behind with the disease. 511 00:51:47,840 --> 00:51:55,880 And some people will put the important feeling is to get a feeling of how these tests work in terms of of the prevalence of the disease. 512 00:51:58,790 --> 00:52:02,510 Okay. We've still got these 97 people without the disease. 513 00:52:03,290 --> 00:52:08,720 Okay. Now, this is the real trick. We've actually. 514 00:52:10,390 --> 00:52:20,650 Set back diagnostic thinking in probabilistic reasoning many years by giving people the specificity with the sensitivity because the specificity, 515 00:52:20,650 --> 00:52:24,790 if you want, you can think of the arrow and m got the arrow. It is going, Oh. 516 00:52:27,430 --> 00:52:33,440 The proportion of people without the disease who test negative. But what I'm interested in is this box. 517 00:52:35,010 --> 00:52:40,680 You see that? Because I wanted to go across. Now this is on. 518 00:52:40,680 --> 00:52:47,910 I can't do this. It seems to be we've got this very difficult thinking that because we've got these two boxes here, 519 00:52:48,330 --> 00:52:52,680 we can't mentally adjust and come up with a figure for that predictive value. 520 00:52:54,000 --> 00:52:57,180 And so what's gone wrong in our wire is too difficult for us to understand. 521 00:52:58,230 --> 00:53:01,770 However, what I do is I use what's called the false positive rate. 522 00:53:02,280 --> 00:53:07,950 And if I go back, what I do is I do one minus the specificity immediately in my mind. 523 00:53:09,700 --> 00:53:13,960 Or 100%, minus the 90%. I gave you a specificity of 90%. 524 00:53:14,500 --> 00:53:18,010 You see that? And so I am interested in the false positive rate. 525 00:53:21,030 --> 00:53:26,110 I'm interested in this box. The people who test positive but don't have the disease. 526 00:53:26,850 --> 00:53:30,840 That is not the specificity either. I'll repeat that. 527 00:53:31,020 --> 00:53:36,360 The people who test positive do not have the disease. That's what I'm interested and more interested in a positive result. 528 00:53:38,190 --> 00:53:42,719 Now, when that comes out, that was 10% of 97. That's pretty easy math for me to do. 529 00:53:42,720 --> 00:53:46,320 That's about ten people I do. I don't want to be exact. 9.7 is meaningless. 530 00:53:47,130 --> 00:53:54,090 Okay. But what I've done is I've assembled all the people who have a positive test now. 531 00:54:01,170 --> 00:54:08,070 And of them, 11 and a half, only one and a half, one and a half will have the disease that with the 15% chance. 532 00:54:13,090 --> 00:54:23,250 And I repeat this point again. Well, all these patients now on this right hand side are the people who've tested positive. 533 00:54:24,920 --> 00:54:30,020 But it is important to recognise that the majority of people who tested positive are these who didn't have the disease. 534 00:54:31,170 --> 00:54:39,680 That's the one minus the specificity. And I think the terms of the positive tests, the specificity is of no benefit to you. 535 00:54:42,220 --> 00:54:46,810 The smart people here will start to realise I'm using what's called the likelihood ratio, but I won't go there. 536 00:54:47,380 --> 00:54:53,140 But what I will do is that's how I describe the result to my patient back in the natural frequency of 100. 537 00:54:53,530 --> 00:54:55,659 Both of you want to have a go at this in your group. 538 00:54:55,660 --> 00:55:00,580 I have these little handout sheets where you can just fill the book in, but I'll show you what it feels like. 539 00:55:01,270 --> 00:55:04,509 Here's how you do it quick. You can do this and I can do this quick in my mind now. 540 00:55:04,510 --> 00:55:10,270 But the most important is being in the ballpark. And I don't care if you get 15% or 10%. 541 00:55:10,480 --> 00:55:17,350 What worries me is if the first three people would have got an answer, like 70% or always I start to worry. 542 00:55:18,610 --> 00:55:22,870 I've changed the prevalence of the disease to 30% and the same test. 543 00:55:23,320 --> 00:55:27,490 You see that same test prevalence is 30%. 544 00:55:27,880 --> 00:55:33,460 This is like going from a GP setting with a probability of 3% to now in hospital. 545 00:55:33,970 --> 00:55:36,700 The prevalence has gone up or the pre-test probably has gone up. 546 00:55:38,560 --> 00:55:44,470 Now our previous competitor, in terms of a hundred patients, how many people have the disease? 547 00:55:45,790 --> 00:55:49,230 There's 30. Okay. 548 00:55:50,540 --> 00:55:58,970 Pretty happy with that. How many do not have the disease centre OC sensitivity of 50%. 549 00:56:01,070 --> 00:56:04,340 Three 5050 okay. 550 00:56:05,060 --> 00:56:09,680 Forget the specificity. You want the hundred percent minus the 90, which is 10%, don't you? 551 00:56:10,460 --> 00:56:16,670 The false positive rate. You're interested in the proportion of people who don't have the disease who test positive. 552 00:56:17,330 --> 00:56:24,060 How many people with a. 10% of. Seven and seven. 553 00:56:24,750 --> 00:56:27,910 Okay, now I've just assembled you very quickly. 554 00:56:27,940 --> 00:56:31,299 All the people have a positive test. 22 positive testing. 555 00:56:31,300 --> 00:56:38,860 A total of 15 have the disease. The chances of you now have the disease of 70% have gone from 15 to 70%. 556 00:56:45,390 --> 00:56:51,090 That's much more informative in terms of disease, in terms of thinking, in terms of what you're going to do next. 557 00:56:52,320 --> 00:56:58,650 You didn't have to get it right, but you did have to be able to think mentally that you can get in the ballpark of where you're going. 558 00:56:59,790 --> 00:57:01,290 I'm pleased that some of you got there. 559 00:57:01,290 --> 00:57:06,269 And if you want to go back to your groups, when you look at this piece in your family, you might not do diagnostics from here on. 560 00:57:06,270 --> 00:57:10,200 That fine is quite challenging. I find it a lot of fun. 561 00:57:11,510 --> 00:57:16,550 I think we have to think about how we change, how we view things. However, I'm going to finish now. 562 00:57:17,240 --> 00:57:21,320 But the important thing is to recognise. I like this paper. This is a Dutch paper. 563 00:57:22,190 --> 00:57:26,060 When they looked at children with serious, serious infection, very low rate, 564 00:57:26,570 --> 00:57:31,160 about one less than 1% of children had serious infection from all like my daughter. 565 00:57:31,160 --> 00:57:38,240 Remember I told you at the beginning about this? Well, high temperature, less than full accuracy of signs and symptoms was fairly low. 566 00:57:38,810 --> 00:57:42,650 The sign, Paramount in all trees was the position statement. 567 00:57:42,650 --> 00:57:48,100 Something is wrong. Just like we sat there going, I think there's something wrong. 568 00:57:48,370 --> 00:57:51,190 So probabilistic reasoning is only one part of a strategy. 569 00:57:51,520 --> 00:57:57,150 We've put this together and I haven't given you the whole bit, but here's all the strategies and the people who've been involved at the top. 570 00:57:57,160 --> 00:58:00,549 There are people, some people who like Paul and Dan and Rafael, 571 00:58:00,550 --> 00:58:04,880 and we've been collecting patients and this is going to be in the BMJ, which we're very pleased about. 572 00:58:05,110 --> 00:58:10,270 We've actually got this to a point where we're going to start explaining this in a whole series of articles. 573 00:58:10,840 --> 00:58:16,900 So watch out. It's about 4 to 6 weeks away from going into the BMJ, and then we're going to take each one and say, 574 00:58:17,050 --> 00:58:21,100 once we describe this, we're going to take the spot diagnosis and illustrate it more. 575 00:58:21,850 --> 00:58:26,230 So once that's come out, I'll put this talk up, put this talk up until that's come out. 576 00:58:26,650 --> 00:58:31,040 But that'll be about six weeks ago. Okay. And I particularly like this. 577 00:58:31,040 --> 00:58:32,780 I'm going to finish on this by Jeff Norman. 578 00:58:33,320 --> 00:58:38,690 Jeff Norman's a very willed, eminent person on education and diagnostic reason, and I've been looking it for many years. 579 00:58:39,770 --> 00:58:44,140 Diagnosis is not a matter of acquiring some kind of all inclusive reasoning strategy. 580 00:58:44,540 --> 00:58:47,990 To some extent, several strategies can lead to the same diagnosis. 581 00:58:49,700 --> 00:58:54,890 The recognition of the strategy should encourage the use of experience to guide our search for the correct diagnosis. 582 00:58:55,730 --> 00:59:02,150 So there are more ways of getting the count. And I hope that sort of makes you feel that some of the bits you can be comfortable with and say, 583 00:59:02,330 --> 00:59:06,750 Maybe I'll just improve the way we do spot diagnosis. Maybe I'll look at prediction. 584 00:59:07,520 --> 00:59:11,520 Maybe I'll forget the probabilistic reasoning. Like that. 585 00:59:11,600 --> 00:59:12,500 I'll stop. Thank you.