1 00:00:00,540 --> 00:00:03,780 So I just want to introduce Cassie briefly. 2 00:00:04,560 --> 00:00:10,170 Cassie is a reader at the Department for Health Sciences at the University of Bath at the moment. 3 00:00:10,170 --> 00:00:17,580 But we'll be moving to Durham later in the year, and I'll let Cassie introduce what she does research for herself. 4 00:00:17,730 --> 00:00:20,820 Okay, perfect. Well, thank you for having me. 5 00:00:20,850 --> 00:00:25,169 It's a real pleasure to be here. And I realise at the end of the day, at the end of the week as well. 6 00:00:25,170 --> 00:00:31,980 So definitely appreciate you being here. The title of The Talk, I was sort of doing it in a little bit of a rush. 7 00:00:32,040 --> 00:00:38,219 I look back to see what the name of the unit was and I was like, Oh, we could just sort of flip that, make it into a little bit of a question. 8 00:00:38,220 --> 00:00:45,150 So I feel so slightly wedded to it now, but what I want to achieve through this talk is really just to create space over the next, 9 00:00:45,150 --> 00:00:51,810 you know, 45 minutes for us to ask ourselves this question, really, and have more of a dialogue about it. 10 00:00:52,620 --> 00:00:58,889 My research spans sport and health sciences, social gerontology and health geography as well. 11 00:00:58,890 --> 00:01:03,260 And you'll see examples kind of coming from those three areas as we go through. 12 00:01:03,270 --> 00:01:13,160 So without further ado, are we really advancing methods in qualitative health research when we think of the methods available to us? 13 00:01:13,170 --> 00:01:21,090 Okay. So the tools, the techniques we can use to go out and collect qualitative data, there are many there are lots of things that we can do. 14 00:01:21,090 --> 00:01:29,250 There's obviously some overlap on some of those, and that will dictate the type of data that we get and the meanings that we can then draw from that. 15 00:01:30,420 --> 00:01:34,650 But when we focus in on health research in particular, 16 00:01:35,100 --> 00:01:43,499 it's perhaps received a little bit of a hard time in the sense that the focus seems to be mainly on interviews and focus groups. 17 00:01:43,500 --> 00:01:50,370 That's the kind of bread and butter being used and certainly that is has been termed the gold standard of qualitative research. 18 00:01:50,370 --> 00:01:53,730 I kind of think that that's not discounted is really, really important. 19 00:01:54,180 --> 00:02:00,270 But it was back in 2002 that the assertion was made that, you know, 20 00:02:00,270 --> 00:02:07,559 by discounting these perhaps other three broad categories of research data we're using that we're 21 00:02:07,560 --> 00:02:13,410 sort of relying on the precariousness of a one legged stool rather than the stability of all four. 22 00:02:13,410 --> 00:02:20,489 We're just focusing on one area, and I don't know that too much has changed really since 2002. 23 00:02:20,490 --> 00:02:27,210 Certainly there has been a growth in other forms of data collection are the techniques of the methods being utilised. 24 00:02:27,690 --> 00:02:32,670 But I think we could agree that focus groups and interviews still dominate. 25 00:02:35,050 --> 00:02:44,260 And as a consequence, I think our tool kit that we carry around with us as qualitative researchers can start to look and feel a little bit light. 26 00:02:47,680 --> 00:02:57,030 There's been almost sort of a growing backlash, as may be too strong a word, but definitely kind of a critique growing, I think, around this. 27 00:02:57,040 --> 00:03:01,030 This was a quote taken from a recent paper by Mminele and Davis. 28 00:03:01,360 --> 00:03:07,210 They were focusing purely on how qualitative methods are being used within our cities. 29 00:03:07,630 --> 00:03:13,540 So that was certainly the context. But I just thought it was interesting that when they were doing their search, 30 00:03:13,540 --> 00:03:19,690 they wanted to kind of explore how qualitative methods are being used and how they could be improved. 31 00:03:19,990 --> 00:03:28,560 And when they did their search, they purposefully wanted to focus on innovative methods, and that led them to exclude standard interviews. 32 00:03:28,570 --> 00:03:32,500 And the thing that drew upon focus groups and I thought, that's kind of interesting, isn't it? 33 00:03:32,710 --> 00:03:36,040 Now those two methods are not considered innovative. 34 00:03:36,730 --> 00:03:43,150 If you want to talk about innovation within qualitative research, we need to push those two things to the side. 35 00:03:43,150 --> 00:03:51,700 And often I don't know who tweets here, but a tweet here from an ethnographer, Michael Atkinson, over in the University of Toronto just recently, 36 00:03:51,700 --> 00:03:57,910 I think this last week or so for interviewing has become to qualitative research methods what McDonald's is to culinary culture. 37 00:03:58,840 --> 00:04:06,050 So is it time maybe for us to adopt a new toolbox and push this one around with us a little more, 38 00:04:06,070 --> 00:04:12,729 be more, have our new techniques more readily available to draw upon when we go into these settings? 39 00:04:12,730 --> 00:04:22,330 And what could that bring for us? But I don't know that we need to kind of necessarily discard the old and bring in the new to this regard, 40 00:04:22,330 --> 00:04:25,870 but certainly a kind of a culture of newness. 41 00:04:26,380 --> 00:04:30,130 And Travis has described this as a cultural problem. 42 00:04:31,060 --> 00:04:36,580 I know some of the students were just involved in a session around research funding, gathering research funding. 43 00:04:37,420 --> 00:04:44,829 And certainly as a qualitative researcher, I think we're perhaps aware of a pressure to promote our work as something that's innovative, 44 00:04:44,830 --> 00:04:47,890 that's going to bring something different, bring something useful. 45 00:04:49,360 --> 00:04:55,749 And this idea of newness, innovation has been drawn upon within the marketing world. 46 00:04:55,750 --> 00:04:58,270 So you see, I mean, how long this has been around for. 47 00:04:58,660 --> 00:05:06,760 But if you can rebrand something as new, as innovative, as fresh, as moving something forward, then it's more catchy, it's more appealing. 48 00:05:07,780 --> 00:05:18,310 But actually, when we think about that exploding toolbox with all the new methods in it, you know there's nothing new about photography. 49 00:05:18,520 --> 00:05:23,560 Anthropologists have been using anthropology. Anthropologists have been using photography for a very long time. 50 00:05:24,100 --> 00:05:30,070 Same with video. What is new, perhaps, is the way the ease in which we can bring this into our research now, 51 00:05:30,340 --> 00:05:37,719 the mobile equipment that we can use with it, the databases that we might use to store and manage that kind of data. 52 00:05:37,720 --> 00:05:41,500 So it's a lot more readily available, a lot more user friendly, you might say. 53 00:05:42,070 --> 00:05:46,930 But how new are some of these methods that are framed as being innovative? 54 00:05:49,600 --> 00:05:53,649 So I rather like this quote here from Latham, who's kind of saying, 55 00:05:53,650 --> 00:05:58,780 rather than ditching the methodological skills that had been so painfully accumulated, 56 00:05:58,780 --> 00:06:05,140 you know, over years and years, we've been trying to refine, interviewing focus groups, making them work really well. 57 00:06:05,830 --> 00:06:12,280 Let's not discount them. Let's not be dazzled and tempted by, you know, the sort of lure of innovation. 58 00:06:13,330 --> 00:06:17,970 But let's think about how we can make these methods dance a little. 59 00:06:17,980 --> 00:06:24,490 How can we bring creativity into the methods that we're already using, the kind of the bread and butter, the gold standard? 60 00:06:25,090 --> 00:06:28,090 Let's not discount them out with the old and with the new. 61 00:06:29,590 --> 00:06:36,610 So what I really want to just go through now is the ways in which I've tried to make my methods dance a little bit as I've gone along. 62 00:06:36,610 --> 00:06:39,610 Sometimes it's been more successful than others. 63 00:06:41,170 --> 00:06:46,720 And then perhaps hear from some of you as as the presentation goes on into how you may have done the same. 64 00:06:50,140 --> 00:06:58,660 So let's start with focusing on the visual and thinking about why imagery is so important within visual culture. 65 00:06:58,690 --> 00:07:04,300 Well, we live in an ocular society everywhere we go. We're being bombarded by visual images. 66 00:07:04,780 --> 00:07:09,280 So the tube station, bus stations, television, anywhere and everywhere. 67 00:07:09,610 --> 00:07:18,670 It's all around us. We also understand information and communicate information through visual means as well. 68 00:07:18,850 --> 00:07:21,909 I think more and more now we're seeing in these kind of infographics to 69 00:07:21,910 --> 00:07:27,310 communicate complex information to people in a more sort of digestible fashion. 70 00:07:29,320 --> 00:07:37,030 And then, of course, there's the selfie stick. Who would have ever known that a selfie stick would be invented and sell as much as it does? 71 00:07:37,330 --> 00:07:47,170 There's tweeting, there's Twitter, there's Instagram. So imagery photography, drawings, etc. is all around us and significantly important. 72 00:07:47,170 --> 00:07:51,820 So it would make sense for us to perhaps start to incorporate that into some of our work. 73 00:07:54,280 --> 00:07:59,380 The images are also important because they help us to know our world, the world in which we're living in. 74 00:07:59,830 --> 00:08:05,320 And I really like this example from the Charlie Hebdo shooting in Paris back in 2015, 75 00:08:06,760 --> 00:08:15,580 where the response to those shootings at the French satirical newspaper was for illustrators around the world to come up with images such as these. 76 00:08:17,070 --> 00:08:20,940 And what those images took on the meaning of is solidarity. 77 00:08:22,770 --> 00:08:29,900 You know, having a free voice not not kind of caving in to the attacks and all the rest of it. 78 00:08:29,910 --> 00:08:34,170 And that took off on Twitter, on Instagram became really big, 79 00:08:34,170 --> 00:08:39,660 the social sweet Charlie phrase, and also the images and drawings that went alongside it. 80 00:08:40,740 --> 00:08:45,210 And then more recently, we have other sort of iconic images coming up out here. 81 00:08:46,350 --> 00:08:50,970 So that's how we start to know the world around us through the visual imagery. 82 00:08:53,750 --> 00:08:59,360 It's also how we start to understand or not start to understand, but how we continue to understand our bodies. 83 00:08:59,360 --> 00:09:06,470 So we might, for example, look at the images on the front of games, DVDs. 84 00:09:07,670 --> 00:09:15,920 This one here aimed at teenage girls. If you just take a moment to think about the bodily proportions of the character on the front there, 85 00:09:15,920 --> 00:09:21,890 that's being projected onto a sort of female, young, female market, incredibly thin waist. 86 00:09:22,280 --> 00:09:25,819 I mean, the body's just kind of not. Not realistic. 87 00:09:25,820 --> 00:09:29,870 Not representative of a normal body. Oops. 88 00:09:29,870 --> 00:09:34,909 Sorry. The sign there for elderly people of being a social gerontologist. 89 00:09:34,910 --> 00:09:41,340 This is what I can't believe is still up on the rose. Very stereotypical image there of what an older body is. 90 00:09:41,360 --> 00:09:49,189 It's bent over. It has a walking aids and an image here from the Invictus Games, 91 00:09:49,190 --> 00:09:57,200 which is a large sporting event aimed at military veterans who have been injured while in action. 92 00:09:57,500 --> 00:10:05,990 And clearly sort of images of a sort of heroic comeback of how one is expected to respond in the light of of injuries such as those. 93 00:10:10,440 --> 00:10:16,670 We might also start to think about how certain groups are represented by the media. 94 00:10:16,680 --> 00:10:20,249 So as I say, do some work within sort of sport and health sciences. 95 00:10:20,250 --> 00:10:27,560 And obviously the differences in how the media represent male athletes and female athletes can be really quite striking. 96 00:10:27,570 --> 00:10:36,780 So you just have a look, the classic kind of representations of females versus males, 97 00:10:38,340 --> 00:10:42,480 females, you tend to get a lot more emotion, a lot more passive shots. 98 00:10:43,870 --> 00:10:52,800 Research has shown that when it comes to representing males, all right, oh, it's going the wrong way. 99 00:10:54,160 --> 00:11:02,410 And when we go to male shots, much more active, showing strength, achievement, power, etc., 100 00:11:02,430 --> 00:11:08,640 hopefully I've kind of cherry picked those images to make the point in this presentation, but there's certainly research supporting that. 101 00:11:12,060 --> 00:11:15,120 And another don't know whether to say favourite or bugbear, 102 00:11:15,120 --> 00:11:21,510 the kind of wrinkly hand image you also see a lot whenever there's anything around older adults in the media. 103 00:11:22,350 --> 00:11:27,750 But I think what's interesting about this is how it's created a kind of a response 104 00:11:28,470 --> 00:11:32,610 to the do more wrinkly hands hashtag that you now see on Twitter as well. 105 00:11:32,610 --> 00:11:41,070 So people being called out about this use of an image that just reduces the life of an older adults to just a pair of wrinkly hands. 106 00:11:41,250 --> 00:11:48,180 And trust me, once you start looking out for this image, you're going to see it everywhere it comes up all the time. 107 00:11:48,570 --> 00:11:53,430 But I like that kind of call to action that people are responding to the images that they see as well. 108 00:11:54,960 --> 00:11:59,520 I just put a search into Google Images under the word cancer. 109 00:12:00,390 --> 00:12:04,860 This is cancer. I don't know if any of you are kind of working in this area, 110 00:12:04,860 --> 00:12:12,810 but you can see it just a very sort of unique dimensional projection of what having cancer kind of means and how we understand it. 111 00:12:17,190 --> 00:12:21,660 It's worth thinking as well about how the meaning of images can change over time. 112 00:12:22,230 --> 00:12:28,080 So the Red Bus is certainly an image that's talked about time and time again, 113 00:12:28,080 --> 00:12:34,080 and the meaning of that has changed from pre prefab referendum to to now. 114 00:12:36,930 --> 00:12:42,719 And same with people or groups of people. So for those of you who aren't familiar in the middle, 115 00:12:42,720 --> 00:12:51,510 there is kind of champion road cyclist Lance Armstrong who'd won multiple Tour de France is another elite races. 116 00:12:52,890 --> 00:12:56,400 He'd also experience testicular cancer, 117 00:12:56,730 --> 00:13:03,930 very advanced testicular cancer through the course of his career and had undergone treatment to then come back. 118 00:13:04,470 --> 00:13:11,790 You know, the heroic comeback narrative again that we see so often in sports to go on and win more or more races. 119 00:13:12,330 --> 00:13:20,820 So he was a real figurehead for many people. You know, he stood for, you know, kind of determination, beating disease, disciplining the body. 120 00:13:21,510 --> 00:13:25,919 Of course, denying allegations throughout his career of blood doping. 121 00:13:25,920 --> 00:13:30,420 And that's since very much called into question. I'm sure you're all aware. 122 00:13:31,230 --> 00:13:34,590 So I think images like this, the meanings change over time as well. 123 00:13:34,590 --> 00:13:39,419 And this is important that's being work done on what these kind of stories associated 124 00:13:39,420 --> 00:13:44,400 with these images and also autobiographies associated with these sports people can do. 125 00:13:44,430 --> 00:13:51,899 So certainly looking at the example of Lance Armstrong, what was the kind of narrative around his cancer diagnosis, 126 00:13:51,900 --> 00:13:57,840 how he lived with cancer, how he made the comeback from cancer and went on to excel in his sporting career? 127 00:13:58,680 --> 00:14:03,479 Let's just a little tangent there as well to sort of like the use of autobiographies and qualitative 128 00:14:03,480 --> 00:14:09,360 researchers and treating them as kind of narrative maps that people turn to when they're trying to navigate. 129 00:14:09,570 --> 00:14:13,290 And your condition or a condition that's new to them, I should say. 130 00:14:16,210 --> 00:14:22,050 Okay. So those are all the ways that I think images of proliferate are everyday lives. 131 00:14:22,060 --> 00:14:28,990 Why are they useful then to use as a form of data collection, they can slow down the observer. 132 00:14:29,560 --> 00:14:34,510 I think sometimes when you're in conversation, you're kind of reacting back and forth, back and forth, back and forth, 133 00:14:35,080 --> 00:14:42,580 but having a pile of images and having to kind of really look deeply at them and go back and forth slows you down. 134 00:14:42,880 --> 00:14:47,410 That kind of interpretation stage encourages a deeper reflection, 135 00:14:48,220 --> 00:14:54,970 and where I've tried to use them in particular is in capturing that kind of elusive sensory embodiment, 136 00:14:54,970 --> 00:15:04,420 really trying to encourage people to talk about how their bodies feel in fleeting moments, which can be pretty tricky for most people. 137 00:15:04,420 --> 00:15:09,639 It doesn't often come through that well in a life history interview, for example, circumvents that as well. 138 00:15:09,640 --> 00:15:14,140 So as a consequence, I try not to look at these as a replacement, 139 00:15:14,140 --> 00:15:21,700 but just as an additional layer of understanding that we can kind of layer on top of an existing method that we might be using. 140 00:15:25,010 --> 00:15:32,540 Okay. So just to draw upon one of the projects that I was leading where I used quite a lot of visual methods prior to this, 141 00:15:32,540 --> 00:15:41,389 I'm not going to talk about that particular project today, but I used Photo Forest where you give the camera to the participants and allow 142 00:15:41,390 --> 00:15:45,820 them to take images and produce images that they believe are important to them. 143 00:15:45,830 --> 00:15:53,059 So you might say, you know, take five, ten images that represent what you who you think you are, you know, 144 00:15:53,060 --> 00:15:59,540 your sort of identity construction that's been used, that's a kind of a really good technique you should be happy to talk about afterwards. 145 00:16:00,350 --> 00:16:07,339 But we didn't do that in this particular project. We were more trying to understand how people responded to the images that they were shown. 146 00:16:07,340 --> 00:16:16,130 So the design of this project was we interviewed 54 self-identified physically active older adults. 147 00:16:17,300 --> 00:16:23,300 We also, as part of those interviews, went around with them to the places where they were active and took photographs 148 00:16:23,870 --> 00:16:27,919 and then undertook a second interview with them where they were looking to talk to 149 00:16:27,920 --> 00:16:31,820 you about that moment where they were looking at the images and trying to try to 150 00:16:32,180 --> 00:16:36,080 describe how their bodies felt in that moment when that image had been produced. 151 00:16:37,010 --> 00:16:42,770 We also used their stories and some of the photographs and feelings that we produced to produce a short film, 152 00:16:42,770 --> 00:16:50,450 which I'll share with you in a moment, which we shared in focus groups to try and understand people's responses to the moving stories. 153 00:16:50,450 --> 00:16:53,300 It's called Moving Stories because it was basically stories about moving. 154 00:16:53,690 --> 00:16:58,640 We were trying to understand not just older adults experiences of physical activity, 155 00:16:58,880 --> 00:17:04,010 but also how other people responded to stories and images of older adults being physically active. 156 00:17:04,850 --> 00:17:12,999 So that was just a little background on the design that. These are the kinds of things that were produced. 157 00:17:13,000 --> 00:17:18,970 These weren't elite athletes, obviously, that we were working with you kind of every day exercise the. 158 00:17:21,580 --> 00:17:26,540 On the go slow again. Well, she had a range of activities. 159 00:17:26,540 --> 00:17:34,820 I've just put a few in here swimming, golf, badminton, walking, all kinds of things. 160 00:17:36,380 --> 00:17:39,800 What we found, first of all, so you hit this is a caution. 161 00:17:39,800 --> 00:17:47,720 I suppose the original plan was to go and take these images back to people and then have this kind of interview and we'd sit down and discuss them. 162 00:17:47,720 --> 00:17:54,080 We found that became really challenging for a number of reasons. Often people finish their activity and then they just wanted to go. 163 00:17:54,110 --> 00:17:56,420 They didn't want to sit and then trawl through a load of photographs. 164 00:17:56,990 --> 00:18:02,660 The other thing is, obviously now we've got the easy means of collecting digital photographs. 165 00:18:02,720 --> 00:18:09,560 Click, click, click, click, click, click, click. It's really easy to simply end up with, like, 100 odd photographs of a single exercise session. 166 00:18:09,560 --> 00:18:13,670 Then you find yourself sat there with scrolling on an iPad, trying to kind of. 167 00:18:14,360 --> 00:18:16,450 How did you feel when you were doing this? 168 00:18:17,000 --> 00:18:23,120 Kind of it was a method we were testing out, and we learned pretty quickly that this was not the type that worked well. 169 00:18:23,690 --> 00:18:28,820 So what we did is just add it into an email interview where we would select a much smaller number 170 00:18:29,030 --> 00:18:34,850 of images showing people in diverse positions and different periods within the exercise session. 171 00:18:35,870 --> 00:18:40,100 And then with this kind of short interpretation of it, through the photographs that we've taken of you being active, 172 00:18:40,120 --> 00:18:49,520 use them to help you respond in your own way, in your own words. The question What is it like to dance, play, badminton, heel, walk, etc.? 173 00:18:49,820 --> 00:18:55,969 And it was kind of drawing upon a sort of phenomenological approach to a certain extent, 174 00:18:55,970 --> 00:19:00,950 just really trying to get to that basic understanding of what does it feel like? 175 00:19:00,950 --> 00:19:08,270 What's it like to do this? And these are the kinds of responses we get. 176 00:19:08,290 --> 00:19:11,650 So here's a lady I can hear loud cracking from my knees. 177 00:19:12,490 --> 00:19:18,580 I like to try and it's really difficult here. I blame the smooth stacking chairs as I can do better at home. 178 00:19:19,180 --> 00:19:24,610 So you can see we're starting to get some of that sensory experience there. 179 00:19:25,060 --> 00:19:29,170 Some of the responses were much longer. Some were just a line. 180 00:19:30,130 --> 00:19:33,920 I think that was fairly typical. We became quite conscious. 181 00:19:33,940 --> 00:19:39,910 You know, certain people find this much easier to do this task much easier to do than others. 182 00:19:41,880 --> 00:19:44,010 Here's an example from one of our sea swimmers. 183 00:19:44,050 --> 00:19:52,830 Again, the feeling of buoyancy, talking about the pressure of the water around her body, but also situating herself within space and place. 184 00:19:52,830 --> 00:19:55,340 And this is something else that I've become increasingly interested in. 185 00:19:55,380 --> 00:20:00,210 So talking much more now about the environments around to the formation of clouds, 186 00:20:00,720 --> 00:20:06,150 how blue the sky is talking about wanting to go out on her own again, 187 00:20:06,150 --> 00:20:11,550 the water looking at the sea life, Accenture and tension within her body disappearing. 188 00:20:12,870 --> 00:20:19,949 So this was important for us because by this point, we'd already done really long life history interviews with these people. 189 00:20:19,950 --> 00:20:26,760 And we could see quite clearly that this type of information hadn't been forthcoming in those settings. 190 00:20:27,180 --> 00:20:35,580 But I think the images encouraging that kind of slow reflection and really asking people to focus in on what did your body feel like at this moment, 191 00:20:36,300 --> 00:20:38,970 kind of opened the door a little bit on some of that information. 192 00:20:41,790 --> 00:20:50,300 So as I mentioned, the other way in which we use this was to produce a short film, which I'm going to I'm going to share with you now. 193 00:20:50,310 --> 00:20:54,390 It's only 10 minutes of those videos of a little lighter on a Thursday afternoon. 194 00:20:55,920 --> 00:21:02,249 And the purpose of this film was to share and focus groups with what we did, focus groups with young people, 195 00:21:02,250 --> 00:21:09,510 people in midlife and also older adults as well, to understand their responses to physically active older adults. 196 00:21:10,290 --> 00:21:16,110 And there are some questions at the end which then obviously formed the discussion that followed. 197 00:21:17,820 --> 00:21:24,330 The the video had two purposes, as I say, on the one hand, it was another means of collecting data. 198 00:21:24,330 --> 00:21:32,370 We used it to elicit discussion within a focus group setting, but we've also used it as a way to communicate our research findings. 199 00:21:32,370 --> 00:21:37,440 So a lot of the issues that were being picked up there had come through from the analysis of our data. 200 00:21:38,970 --> 00:21:45,420 A particularly light for us, it was an opportunity to show counter-narratives around physical activity in older age, 201 00:21:45,420 --> 00:21:53,309 though I think so often just awful. Lots of assumed older adults are just involved in physical activity for health benefits where, you know, 202 00:21:53,310 --> 00:21:58,320 certainly Gordon on his bike is still old, but the exhilaration and the thrill of it, I think that's quite unusual. 203 00:21:58,980 --> 00:22:04,200 Derek with his badminton, had a very competitive edge and then there were issues around confidence, 204 00:22:04,200 --> 00:22:11,790 the kind of life history aspect of having negative experiences and coming to sport and physical activity quite later on in life, 205 00:22:12,060 --> 00:22:18,240 and also overcoming challenges, hip replacements and periods of, you know, feeling quite depressed, etc. 206 00:22:18,690 --> 00:22:23,009 So all of that had come through in our email and we were very kind of deliberate and specific 207 00:22:23,010 --> 00:22:28,020 in placing it in the film to try and communicate that and elicit discussion as well. 208 00:22:29,520 --> 00:22:36,810 And we drew on Arthur Frank's social and our autophagy kind of framework approach to understand this data, 209 00:22:37,350 --> 00:22:44,429 really thinking about not just stories as a kind of a portal into somebodies mind and how they experience their world. 210 00:22:44,430 --> 00:22:50,670 But what is the power of stories and what can stories do to the people that hear them? 211 00:22:51,660 --> 00:22:54,780 And we've written a chapter around that. I won't go through those. 212 00:22:54,780 --> 00:22:58,349 I mean, those are the kind of a certain power and effectiveness, I think, 213 00:22:58,350 --> 00:23:05,460 to sort of stories that are presented on film connected people are also disconnected them. 214 00:23:05,520 --> 00:23:13,370 One of the comments that we had from an older gentleman was, if you've produced this film to try and counter negative, 215 00:23:13,410 --> 00:23:18,569 negative stereotypes of ageing, I don't know why you've put the seated exercise classes in there. 216 00:23:18,570 --> 00:23:23,330 I felt really kind of strongly that that didn't belong in there at all. 217 00:23:23,340 --> 00:23:28,740 So yeah, some really interesting discussions that came through from the focus group by using that as a tool. 218 00:23:30,750 --> 00:23:34,920 Okay. So the second way that we send in, it's always a team effort. 219 00:23:34,920 --> 00:23:38,220 These things is we've tried to make our methods dance, if you like, 220 00:23:38,490 --> 00:23:51,120 is by introducing movement and space and this is calling much more of sort of bonds, geography, literature, etc. through the use of mobile methods. 221 00:23:51,120 --> 00:23:56,640 So go along interviews when you might be walking with someone as you're interviewing them. 222 00:23:57,780 --> 00:24:06,450 There's people using head mounted cameras and cycling alongside people and interviewing them kind of in situ very much in the moment to try and get, 223 00:24:06,450 --> 00:24:11,249 I think, those more subtle aspects of being active and being movement that you might not 224 00:24:11,250 --> 00:24:16,350 necessarily talk about so easily in a more rehearsed story that you tell in an interview. 225 00:24:17,190 --> 00:24:24,450 So again, I think useful at least from the my interest at trying to reach this kind of more sensory aspects of activity. 226 00:24:26,790 --> 00:24:31,440 It's been a rather nice day out on the Helford River and perks of the job. 227 00:24:33,720 --> 00:24:40,290 Okay, so a lot of this work has been done around projects looking at the interactions between nature, health and wellbeing. 228 00:24:40,290 --> 00:24:48,389 So there is a growing body of literature now looking at health and wellbeing outcomes for people who are spending time in green spaces, 229 00:24:48,390 --> 00:24:51,360 blue spaces call them what you will. Nature's. 230 00:24:52,800 --> 00:24:59,820 But certainly I think a critique of that literature has been the assumption that if that if those spaces are available, 231 00:25:00,000 --> 00:25:04,200 people will use them and then people will access those health and wellbeing outcomes. 232 00:25:04,200 --> 00:25:09,479 And we kind of can see that that's not really the case. So certainly these mobile methods, I think, 233 00:25:09,480 --> 00:25:15,540 lend themselves to understanding the more everyday or situated practices and habits that 234 00:25:15,540 --> 00:25:21,179 people are building up around their kind of movement patterns and the sense of emplacement, 235 00:25:21,180 --> 00:25:27,540 if you like. So for this, we used this message called narratives. 236 00:25:27,540 --> 00:25:35,309 This is very much led by my PhD student, Sarah Bell and Ben Wheeler, who was also involved in the supervisory team. 237 00:25:35,310 --> 00:25:39,900 Who is the kind of quantitative guy? This is an interesting kind of mixed method project. 238 00:25:39,980 --> 00:25:48,230 Where we used accelerometer tree data. Global positioning systems, one on the wrist and then map based interviews as well. 239 00:25:48,230 --> 00:25:50,480 So people would walk. 240 00:25:50,540 --> 00:25:57,120 We pick up, kind of see where they had gone, the speed at which they were travelling, which is indicated through the spacing of the dots there. 241 00:25:57,740 --> 00:26:06,410 And again, within an interview setting, this became a really useful discussion device to think about where do people kind of linger? 242 00:26:06,410 --> 00:26:10,670 Where do they walk fast? Where are the places that they avoid? 243 00:26:11,120 --> 00:26:17,660 Are there any places that are missed that they are missing kind of within their local environments, etc.? 244 00:26:18,920 --> 00:26:26,299 And then a subset of the sample is quite a large group. We then conducted a go along interviews with so again, 245 00:26:26,300 --> 00:26:33,110 walking with them on a route or a place that they had identified as being particularly impactful 246 00:26:33,110 --> 00:26:39,490 on their sense of well-being and just trying to kind of tease out the specifics of that. 247 00:26:39,500 --> 00:26:42,110 So again, a kind of a really interesting study. 248 00:26:42,110 --> 00:26:48,679 I think the challenge of doing something like that is just the volume of data you get, know, you end up with lots of maps, 249 00:26:48,680 --> 00:26:58,249 lots of transcription and trying to kind of like anything when you have those data like order it and manage it and make sense of it is is tricky. 250 00:26:58,250 --> 00:27:06,200 But I think the layering and introducing that movement and the use of the environment around people is kind of really useful there. 251 00:27:09,040 --> 00:27:17,800 So as I started off by saying this kind of, you know, always advancing methods within qualitative health research, 252 00:27:19,000 --> 00:27:22,540 there has been so much emphasis on interviews, on focus groups. 253 00:27:22,720 --> 00:27:26,660 There is a little bit of a backlash or a critique, at least because of that. 254 00:27:26,680 --> 00:27:32,110 There's certainly a plethora of other techniques of the methods that we can use to gather data. 255 00:27:32,740 --> 00:27:36,420 Do we need to then discard interviews? I don't think so. 256 00:27:36,430 --> 00:27:43,270 You can see we still use them very much in our work, but we're just trying to bring in some of this creativity on top. 257 00:27:43,660 --> 00:27:47,020 But there's obviously other things that we need to consider along the way. 258 00:27:47,020 --> 00:27:50,889 And I think a really interesting point that's been made by Nettleton and GREENE, 259 00:27:50,890 --> 00:27:56,500 certainly others are not the only people is what have we when we're talking about innovation. 260 00:27:56,500 --> 00:28:04,540 It's we don't necessarily need more data. We don't need to collect more data in more fancy ways with the fads and fashions. 261 00:28:05,080 --> 00:28:09,580 We have incredibly rich data through our interviews, through our focus groups. 262 00:28:09,580 --> 00:28:18,040 What we need is kind of innovation through theory and not to keep using our data to just reconfirm kind of what we already know, but actually build, 263 00:28:18,040 --> 00:28:26,560 advance, understand more fully how people are doing things, why people are doing things, where people are doing things and the consequences. 264 00:28:27,310 --> 00:28:32,170 A similar point can be made in relation to analysis. So again, there are challenges. 265 00:28:32,170 --> 00:28:38,950 As soon as you start to use different techniques, you end up with these different forms of data and are we lagging behind a little in 266 00:28:38,950 --> 00:28:43,929 understanding how we might then analyse it when we end up with all this fancy stuff photos, 267 00:28:43,930 --> 00:28:50,680 maps, plots on our desk, just as there's been a kind of critique, I suppose, 268 00:28:50,680 --> 00:28:58,330 of a focus on interviews from focus groups, so too, has there been a critique on the overuse of a thematic analysis? 269 00:28:58,600 --> 00:29:05,860 There are lots of other ways of analysing data. Brian Clark You've obviously written a lot around this method. 270 00:29:06,370 --> 00:29:10,140 Make the point that your thematic analysis can be your starting point, you know? 271 00:29:10,210 --> 00:29:16,480 Yes, certainly use that to make sense of your data, the kind of broad brush approach of what what is the state telling me. 272 00:29:16,780 --> 00:29:20,109 But then where might we build from when we've done that? 273 00:29:20,110 --> 00:29:24,430 What other things can we do on top to bring in these additional interpretations? 274 00:29:26,050 --> 00:29:30,940 There's also innovations, you might call it, to be made in terms of how we represent our data. 275 00:29:30,940 --> 00:29:34,690 So for ourselves, using film has been really useful. 276 00:29:35,020 --> 00:29:42,520 We've also, you know, alongside the journal articles and what have you, which are important produce key findings, booklets. 277 00:29:42,520 --> 00:29:51,969 There's some at the back of the room which are welcome to take at the end, but there's drama, poetry, dance, a real range there. 278 00:29:51,970 --> 00:29:54,700 And if you're not familiar with it and you're interested in the area, 279 00:29:54,700 --> 00:30:02,860 certainly the work of peer contacts in Canada around dementia I think has been really forward thinking in relation to this. 280 00:30:04,510 --> 00:30:11,709 But then of course how do we appraise, how do we judge the quality of this innovation of these new forms of data? 281 00:30:11,710 --> 00:30:18,100 So I had to obviously plug Veronica's backpack because it's a it's a valid question, isn't it? 282 00:30:18,220 --> 00:30:21,670 It's not the case that anything goes, oh, it's new, it's shiny, it's novel. 283 00:30:21,670 --> 00:30:25,480 I've got a fancy bit of kit, therefore it's good and it's helpful. 284 00:30:26,500 --> 00:30:29,860 But are we lacking a little bit in terms of how we appraise, 285 00:30:29,920 --> 00:30:37,600 how we understand the different ways in which we might understand the quality of these different forms of data? 286 00:30:39,940 --> 00:30:45,819 And then to go back to that idea of, you know, the culture of newness and the pressure to be innovative, 287 00:30:45,820 --> 00:30:50,260 whether it's on an A grant application or whether it's when you're pitching a new book 288 00:30:50,260 --> 00:30:54,670 and you make in the case of why this is different to all the other books on this topic, 289 00:30:55,120 --> 00:31:02,109 and Travis notes that we've kind of responded to this pressure to innovate into very sort of different ways. 290 00:31:02,110 --> 00:31:08,049 On the one hand, it's a cause for celebration. There are all these other things available at our fingertips now that we can draw from. 291 00:31:08,050 --> 00:31:11,410 It's a very exciting time to be doing qualitative research. 292 00:31:12,460 --> 00:31:21,370 Then there's also the the response where people become very defensive of their disciplines and, you know, almost don't want to over celebrate it. 293 00:31:21,370 --> 00:31:24,969 And I think that's very real connections with the there is nothing new here. 294 00:31:24,970 --> 00:31:28,360 This has been done before. It's just old wine in new bottles. 295 00:31:31,670 --> 00:31:40,219 And alongside those that kind of response of defending one's discipline, I think there's certainly been the critique of, you know, 296 00:31:40,220 --> 00:31:47,120 almost getting so caught up in the glitz of a new technique that you're trivialising the real issues 297 00:31:47,210 --> 00:31:53,350 underpinning a research area and the long standing problems that are perhaps more difficult to tackle. 298 00:31:53,360 --> 00:31:57,319 And certainly when we're thinking about older adults and when we're thinking 299 00:31:57,320 --> 00:32:01,660 about trying to encourage or support older adults and becoming more active, 300 00:32:01,670 --> 00:32:07,210 I always like to bring these statistics from the age UK later life in the UK report. 301 00:32:08,450 --> 00:32:12,980 We shouldn't forget, you know, 1 million cut back on food shopping to cover their utility bills. 302 00:32:13,370 --> 00:32:20,240 25,000 can die of the cold each year. 2.9 million older adults feel they have no one to turn to for help and support. 303 00:32:20,780 --> 00:32:22,330 And, you know, 304 00:32:22,400 --> 00:32:30,530 just really emphasising the importance of remembering that when you just sort of consider these issues as an individual issue and that a sort 305 00:32:30,530 --> 00:32:36,650 of fancy film and a few photographs that are going to make people stop and think are going to address these problems are certainly not. 306 00:32:39,950 --> 00:32:46,700 So it's really overdue. Are we really advancing qualitative methods within health research? 307 00:32:47,000 --> 00:32:50,450 What would that involve? What does advancing actually mean? 308 00:32:51,020 --> 00:32:55,460 Is it necessary? And what's at stake if we take it on board? 309 00:32:55,820 --> 00:32:59,870 How would you respond to these kind of new the pressure to innovate? 310 00:33:01,440 --> 00:33:04,860 And that's really all I had to say. So thank you very much for listening.