1 00:00:08,080 --> 00:00:12,190 Thank you so much for the invitation and chance to speak, I'm not going to speak about the act. 2 00:00:12,190 --> 00:00:17,440 I'm here to speak about another programme that we we run. 3 00:00:17,440 --> 00:00:24,220 It's called Murtha, and the word Murtha in many Indian languages means empathy. 4 00:00:24,220 --> 00:00:28,270 And it's a programme that we've developed over the last five to six years with 5 00:00:28,270 --> 00:00:32,800 a lot of formative work that went on before what I'm going to present to you, 6 00:00:32,800 --> 00:00:35,650 which which appears like a fully formed programme. 7 00:00:35,650 --> 00:00:42,880 But there's a whole host of work in terms of formative work in designing it that went on many years prior to that. 8 00:00:42,880 --> 00:00:45,670 Before I start, I just want to thank our funders, 9 00:00:45,670 --> 00:00:51,790 which was the Grand Challenges Canada and Marijuana Health Initiative, which continue to fund our programme. 10 00:00:51,790 --> 00:00:56,020 The purpose behind me really is is multiple. 11 00:00:56,020 --> 00:01:05,230 One is to move away and shift the paradigm of mental health, you know, to what we call what we like to call as democratising mental health. 12 00:01:05,230 --> 00:01:12,520 We want to get away from a notion of mental health as being a health and an illness condition, 13 00:01:12,520 --> 00:01:19,030 but much more something that affects all parts of your life and which needs to be integrated into an entire whole, 14 00:01:19,030 --> 00:01:23,710 as opposed to be seen as something to be dealt by professionals alone. 15 00:01:23,710 --> 00:01:28,510 The second thing that we wanted to do is we realise, as L.A. docs showed you, 16 00:01:28,510 --> 00:01:34,450 that there's a lot of social capital in our communities and we want to tap into that social capital. 17 00:01:34,450 --> 00:01:39,370 You know, there's always this notion that government should provide things or where will the money come from? 18 00:01:39,370 --> 00:01:44,190 But there's actually a lot of social capital which we could tap in very easily. 19 00:01:44,190 --> 00:01:51,100 We don't use any mental health metaphors in our in our programmes, as you will see, actually, I mean, 20 00:01:51,100 --> 00:01:56,410 although I've said community led mental health initiative, that's the description we use when talking to professionals. 21 00:01:56,410 --> 00:02:01,570 What we call it is something about promoting wellness and reducing distress on our programme 22 00:02:01,570 --> 00:02:06,910 does not actually have anywhere in the entire thing on mental health that talks about distress. 23 00:02:06,910 --> 00:02:12,640 It talks about stress. We use a lot of local metaphors, so people use metaphors like tension. 24 00:02:12,640 --> 00:02:17,110 So we say, Look, we here, the programme will help you deal with tension. It will help you deal with stress. 25 00:02:17,110 --> 00:02:23,020 It helps you deal with day-to-day issues. It's not a mental health programme. 26 00:02:23,020 --> 00:02:28,750 And you know, the most important thing is that this whole programme has a certain degree of community ownership. 27 00:02:28,750 --> 00:02:35,350 So we work with Village Council to juggle budgets. We get into a village, we talk to the village franchise, we get them involved, 28 00:02:35,350 --> 00:02:41,590 and we use their help in identifying volunteers within the programme within how we start work. 29 00:02:41,590 --> 00:02:46,480 So. So who? Who delivers what we do? This is what we call them champions. 30 00:02:46,480 --> 00:02:57,490 And this is one of our champions. McSwain, who lives in a village in Maisano district, is as many of our champions are not very highly educated. 31 00:02:57,490 --> 00:03:02,620 She I think she was educated about eight standard and her husband supports her work. 32 00:03:02,620 --> 00:03:09,130 What she does. All of our champions are volunteers. So nobody gets paid for doing the work. 33 00:03:09,130 --> 00:03:12,610 They they they work about roughly two hours a day, 34 00:03:12,610 --> 00:03:19,750 and that's about the work they do for the programme and the rest of the time they do other things in their lives, 35 00:03:19,750 --> 00:03:23,700 which is what might be farming their rural communities. 36 00:03:23,700 --> 00:03:27,880 So there's a lot of farming activity, people out, household work to do, and they do all of that. 37 00:03:27,880 --> 00:03:32,210 And in addition, they'll probably do eight to 10 hours of work for the programme. 38 00:03:32,210 --> 00:03:38,380 And McSwain always says that it's given her a chance to help her village and made her a very confident woman. 39 00:03:38,380 --> 00:03:43,540 This is very interesting because when we first tried to talk to McSwain, she wouldn't talk to us like us. 40 00:03:43,540 --> 00:03:48,430 I'd be photographs. She wouldn't even allow us to talk to us without kind of looking away from us. 41 00:03:48,430 --> 00:03:56,020 And then over a period of time, she's now become confident enough to stand there and be photographed for this particular picture. 42 00:03:56,020 --> 00:04:02,440 So what do we cover? We cover about we cover our district called Manzanar, which is in in Gujarat, 43 00:04:02,440 --> 00:04:07,570 very close to the border, then Gandhinagar, which is way the state capital is. 44 00:04:07,570 --> 00:04:14,890 It's a district with about two million population, of which about one and a half million is rural population. 45 00:04:14,890 --> 00:04:18,700 And in that one and a half million, it's a one to one million adult population. 46 00:04:18,700 --> 00:04:24,410 So that's the population we cover. There are four hundred and fifty two villages and our programme is being scaled up. 47 00:04:24,410 --> 00:04:27,340 So at the moment we reach about 450 villages. 48 00:04:27,340 --> 00:04:34,960 By the end of the year, we will probably have covered every single village, so we will have some service that we provide in every single village. 49 00:04:34,960 --> 00:04:42,100 We currently have about six hundred and fifteen champions and the number will go up to about 800 to 900 by the end of the year. 50 00:04:42,100 --> 00:04:48,280 So this is a programme which runs at scale to answer, perhaps question what happens when you try to run programmes at scale? 51 00:04:48,280 --> 00:04:54,820 Are they sustainable? Can they continue and do they actually deliver what they promise to deliver? 52 00:04:54,820 --> 00:05:00,100 So what? What champions do? We don't see them as non-specialist health workers. 53 00:05:00,100 --> 00:05:04,840 As I said, we try to get out of this health worker health domain. 54 00:05:04,840 --> 00:05:09,010 So one of the things they do is if they identify people who have a common mental health problem, 55 00:05:09,010 --> 00:05:12,610 which is our which is me trying to explain to you a common mental disorder. 56 00:05:12,610 --> 00:05:16,450 That's not how they see it. They see it as a certain set of symptoms. 57 00:05:16,450 --> 00:05:26,200 They will provide them with four to six sessions of counselling if they saw somebody who had what is called as a very severe mental health problem, 58 00:05:26,200 --> 00:05:29,680 which would be something like psychosis or bipolar disorder. 59 00:05:29,680 --> 00:05:36,730 They will then make a referral to them to the psychiatric services of this district, and they normally make that effort to actually accompany them. 60 00:05:36,730 --> 00:05:42,490 They go with them, they help them navigate the health system. They will ensure the follow up happens with them. 61 00:05:42,490 --> 00:05:50,920 The third thing that they do is they they try to increase awareness in the community around stress and mental health issues by showing films. 62 00:05:50,920 --> 00:05:58,720 We give these champions a mobile phone, which is like a, you know, a smartphone like this, which has four films loaded on it. 63 00:05:58,720 --> 00:06:04,510 And these films are not about mental illnesses. They are about what we call antecedents of mental illnesses. 64 00:06:04,510 --> 00:06:09,270 So they are friends on unemployment. They are a film on marital discord. 65 00:06:09,270 --> 00:06:16,570 There's a film on interpersonal violence, and there is a film on alcohol use and its effects on the family. 66 00:06:16,570 --> 00:06:18,340 And these are 10 minute films. 67 00:06:18,340 --> 00:06:26,200 We designed them using a director from Bollywood, and so they are designed and are going to Bollywood style, song and dance. 68 00:06:26,200 --> 00:06:30,070 They're not documentaries. They don't try to preach to you. They tell you a story. 69 00:06:30,070 --> 00:06:35,860 They're meant to be interesting. They're meant to be fun. And these films are only 10 minutes long. 70 00:06:35,860 --> 00:06:40,060 I mean, you can go on Google and check them up. They're they're on YouTube. 71 00:06:40,060 --> 00:06:43,580 The films are loaded on YouTube. They are. They've also been. 72 00:06:43,580 --> 00:06:49,880 Subtitled in English for you to understand if you wish, but we use them, and they were developed after a lot of field testing, 73 00:06:49,880 --> 00:07:00,260 piloting and informative work that went into it and they tell a story, and the films are meant to be shown to small groups of four or five people. 74 00:07:00,260 --> 00:07:05,240 So you know what? A champion will collect four or five people, and we call it, we don't call it broadcasting. 75 00:07:05,240 --> 00:07:11,510 We call it narrowcasting. So we're not trying to broadcast. We won't actually do narrowcasting, have four or five people sit there. 76 00:07:11,510 --> 00:07:16,160 Every film will stop it. Every two minutes, it'll pause at two minutes automatically. 77 00:07:16,160 --> 00:07:23,150 The champions will ask questions, will raise a discussion and the idea is to be not a passive observer of a film, 78 00:07:23,150 --> 00:07:25,940 but to get actively involved in understanding what happens. 79 00:07:25,940 --> 00:07:31,870 And and that actually provides a lot of help to our champions to identify people in the village who might need help. 80 00:07:31,870 --> 00:07:38,780 Somebody says, Well, you know, my neighbour, she's got the same problem as this film is showing, and then they kind of approach that person. 81 00:07:38,780 --> 00:07:44,030 The other important thing that our champion does is that they enable access to social benefits. 82 00:07:44,030 --> 00:07:50,150 So the whole bunch of social benefits that the Indian government offers widows, pensions, disability, pensions, 83 00:07:50,150 --> 00:07:58,310 all sorts of things which are impossible to access because getting access to those pensions are getting access to those benefits requires paperwork, 84 00:07:58,310 --> 00:08:05,210 which is very difficult to navigate. I mean, if you ever go down there, you realise how hard it is to actually get the paperwork ready. 85 00:08:05,210 --> 00:08:11,660 Champions have an app which is on their mobile phone, which if they enter some details about you into it, 86 00:08:11,660 --> 00:08:17,060 the app will tell them which benefits you might be entitled to. 87 00:08:17,060 --> 00:08:21,590 And they are trained in how to fill up the forms so that for all these benefits, 88 00:08:21,590 --> 00:08:25,160 they'll take the forms and get you to fill up and they'll go and submit the collector's office. 89 00:08:25,160 --> 00:08:25,730 Most of the time, 90 00:08:25,730 --> 00:08:32,300 you need to submit something in the collector's office and then chase it up with the collector's office to ensure that that benefit is delivered. 91 00:08:32,300 --> 00:08:36,740 So they do a lot of social care, not just health care. 92 00:08:36,740 --> 00:08:39,950 And finally, they use a smartphone to document their work. 93 00:08:39,950 --> 00:08:47,200 So, you know, they kind of put in how many people they've seen when they've seen, who they've seen, who they worked with. 94 00:08:47,200 --> 00:08:54,190 And what are these sessions, these sessions, largely the six sessions of counselling that they do, are largely based on three techniques. 95 00:08:54,190 --> 00:08:58,410 They're based on active listening problem-solving techniques and behavioural activation, again, 96 00:08:58,410 --> 00:09:05,440 stuff that has been shown to be effective in research studies and that there's a structure of these sessions. 97 00:09:05,440 --> 00:09:09,820 It's important to understand that these sessions are not delivered in a clinical setting. 98 00:09:09,820 --> 00:09:13,300 They are delivered in the community very often at the person's home, 99 00:09:13,300 --> 00:09:18,640 sometimes in public areas like I remember this champion telling us which I thought a very fascinating. 100 00:09:18,640 --> 00:09:26,080 She said that she delivered one of the session to this woman while women, while they were both at the, well, getting some water. 101 00:09:26,080 --> 00:09:30,460 And she said, I sat her down and we had a 20 25 minute session and it worked very well. 102 00:09:30,460 --> 00:09:33,990 So, you know, they're delivered at different places that deliver what people want. 103 00:09:33,990 --> 00:09:39,000 People say I would rather come to a place, not be at home than fine. That's equally OK. 104 00:09:39,000 --> 00:09:46,730 And they deliver five to six such sessions, it doesn't stop them from doing more, but we tell them to try and keep it time limited. 105 00:09:46,730 --> 00:09:55,340 And these champions receive about seven days of training. It's around thirty five hours of training that they receive. 106 00:09:55,340 --> 00:10:00,410 The training again again has been developed with a lot of formative work which went in. 107 00:10:00,410 --> 00:10:04,100 So our training is called animation training. We don't have any lectures. 108 00:10:04,100 --> 00:10:08,840 We don't have any PowerPoints, and everything is done in the form of the entire. 109 00:10:08,840 --> 00:10:16,880 Training is done in the form of a rule play because many of our champions are not literate, you know, and they're not sat in the classroom. 110 00:10:16,880 --> 00:10:22,070 So if you did a forty five minute lecture for them, there's no way we're going to get their attention. So a lot of it is role play. 111 00:10:22,070 --> 00:10:26,960 A lot of it is about working out scenarios and how will you deal with them? 112 00:10:26,960 --> 00:10:34,190 What will you do? There's a lot of observational learning that happens, and usually the training is divided over two days at a time. 113 00:10:34,190 --> 00:10:37,790 We do it over three weeks. It's only seven days, but it's not seven days in a row. 114 00:10:37,790 --> 00:10:45,140 We find that our champions will not take that in if we try to do it all at seven days and then they get a refresher training every six months. 115 00:10:45,140 --> 00:10:53,210 So they come back in for a day and we do some refresher training on what they are up to and how they can address specific issues. 116 00:10:53,210 --> 00:10:56,300 And this is how the whole structure of the programme is organised. 117 00:10:56,300 --> 00:11:01,470 So there's a project manager for a district who is up, who is an employed professional. 118 00:11:01,470 --> 00:11:11,810 So we pay for them. They are on a salary. There are community facilitators and the community facilitators tend to be young people from within the 119 00:11:11,810 --> 00:11:19,520 district who might have a social work background or a bachelor's in social work or a psychology bachelor's. 120 00:11:19,520 --> 00:11:23,390 But people who live within that community. And again, they are paid a salary. 121 00:11:23,390 --> 00:11:27,530 So these are the two paid kind of people in the programme. 122 00:11:27,530 --> 00:11:32,510 The champions are the ones who actually deliver the programme and they are volunteers. 123 00:11:32,510 --> 00:11:41,150 And there's also some another level called Mitra. And I'll explain to you what Mithras mean in the context in Gujarat. 124 00:11:41,150 --> 00:11:47,600 But they don't do. They don't do a lot other than help the champions identify people who might be in need of treatment. 125 00:11:47,600 --> 00:11:53,390 The reason why we did this innovation in Gujarat is because we found that in places like in Gujarat, 126 00:11:53,390 --> 00:12:00,530 in the villages, the villages are divided by cost and religion very actively so that in a village of two thousand, 127 00:12:00,530 --> 00:12:07,280 if I champion came from a particular caste, they would have actually never visited the other part of the village where some other caste, 128 00:12:07,280 --> 00:12:13,220 which is amazing, but it's only a village of two thousand people. And so these metros tend to be from other parts of the village where they may 129 00:12:13,220 --> 00:12:18,320 not have access to and so they can do a full coverage of the entire village. 130 00:12:18,320 --> 00:12:24,610 So that's how the whole thing is organised and we do kind of track our champions progress. 131 00:12:24,610 --> 00:12:31,980 So what I forgot to tell you is that the community facilitators meet with the champions every hour, 132 00:12:31,980 --> 00:12:35,870 every fortnight, and they provide them with mentoring and supervision. 133 00:12:35,870 --> 00:12:39,950 So they will actually say, OK, what are you? What are you working with? What are you doing? 134 00:12:39,950 --> 00:12:44,660 Are you stuck somewhere? Where are the issues? OK, you have a problem. Maybe I'll come with you and see how we can solve it. 135 00:12:44,660 --> 00:12:50,510 So sometimes this was a modelling of treatment that is done by the facilitators. 136 00:12:50,510 --> 00:12:55,700 And obviously, this is how it will go as we we find that it takes our champions at least three to four 137 00:12:55,700 --> 00:12:59,900 months before they feel confident enough to start dealing with things on their own. 138 00:12:59,900 --> 00:13:08,120 So they get training. Then they have a bit of a hand-holding phase when the facilitators work with them to get them ready to work with other people. 139 00:13:08,120 --> 00:13:11,060 And then we kind of monitor how well they are doing. 140 00:13:11,060 --> 00:13:15,530 There are times when we ask people to leave, when we say, Look, we don't think are really suited for this, 141 00:13:15,530 --> 00:13:25,990 and maybe you should not continue work and we actually ask them to go because we don't think they're doing the kind of stuff we would want them to do. 142 00:13:25,990 --> 00:13:31,840 You would ask me what the attrition, because I think this is a volunteer driven programme, what's your attrition rate? 143 00:13:31,840 --> 00:13:40,570 Our attrition rate across the last 12 months is about 20 percent, and the largest chunk of the attrition actually happens after phase one. 144 00:13:40,570 --> 00:13:46,360 When the training is over, many people take the training and then they decide this is not actually what I wanted to do. 145 00:13:46,360 --> 00:13:49,030 So you get the biggest chunk of attrition there. 146 00:13:49,030 --> 00:13:55,060 You don't get much attrition afterwards and then you get an attrition towards the end after a year when people say, Look, 147 00:13:55,060 --> 00:14:01,520 I've done my bit for society, I want to do something different or many of them have even gone on to do other things. 148 00:14:01,520 --> 00:14:07,750 So like one of our champions at the end of the year, stood for elections to the local Punjab and became the Punjab chief and said, 149 00:14:07,750 --> 00:14:11,980 Now I can't do this, I've got more important things to do and so quit doing our work. 150 00:14:11,980 --> 00:14:17,590 But interestingly, then allocated twenty thousand rupees in her village for this work because she 151 00:14:17,590 --> 00:14:21,520 was now the person who was in control of the finances at the at the Punjab. 152 00:14:21,520 --> 00:14:29,740 So people do all sorts of interesting stuff. In the last hour, this is nine months of data which I've got here for you. 153 00:14:29,740 --> 00:14:38,920 We reached out to about 9000 beneficiaries who have received counselling sessions, so that's and we expect to end the year with around 12000. 154 00:14:38,920 --> 00:14:43,240 Hopefully by next year will be reaching around 15 to 20000 people. 155 00:14:43,240 --> 00:14:52,840 That's about on an average of five sessions, so that's close to about 50000 sessions that have been delivered in the last one year. 156 00:14:52,840 --> 00:14:57,610 Around 2000 people with severe mental disorders have been linked in with the psychiatric 157 00:14:57,610 --> 00:15:02,590 service and maintained in the psychiatric service for follow up for treatment. 158 00:15:02,590 --> 00:15:11,470 About 4000 people have received various kinds of social benefits, and around 45000 people have viewed these films that we have. 159 00:15:11,470 --> 00:15:14,140 And this is again, this is like an ongoing thing. 160 00:15:14,140 --> 00:15:21,190 So if I meet you after three months, these numbers will change because we continue to roll out and scale it up. 161 00:15:21,190 --> 00:15:27,260 So you're going to see all of this is wonderful and nice, but where is the evidence that any of this works? 162 00:15:27,260 --> 00:15:31,150 I mean, that's usually the thing. This is all wonderful. Nice thing. 163 00:15:31,150 --> 00:15:35,080 Everyone feels good. Touchy feely stuff. Where is the evidence at work? 164 00:15:35,080 --> 00:15:39,760 So I'm we actually. We actually did do. And this is something that we are interested in. 165 00:15:39,760 --> 00:15:45,520 So we actually did do a proper control evaluation of what we were doing. 166 00:15:45,520 --> 00:15:49,300 And I'm going to show you some results now. They're hot off the press. 167 00:15:49,300 --> 00:15:57,370 The reason I say hot of the press, as in because are Sturbridge trial, which I'm going to talk to you or just ended in September. 168 00:15:57,370 --> 00:16:05,500 So I only got hold of the results now. So I would request you to not either put these results that I'm going to show you in the public domain 169 00:16:05,500 --> 00:16:09,850 because the paper is getting prepared and we'll be ready and published in the next month or two, 170 00:16:09,850 --> 00:16:13,750 hopefully. So what did we do? 171 00:16:13,750 --> 00:16:18,550 Most of the research that you've seen up to now were largely the research studies. 172 00:16:18,550 --> 00:16:22,450 So, you know, if you go back to any of those studies that I've showed you about, 173 00:16:22,450 --> 00:16:28,540 these programmes no longer exist, then our programmes, which continue to run, they were set up for a trial. 174 00:16:28,540 --> 00:16:30,400 When the trial ends, they finish. 175 00:16:30,400 --> 00:16:37,900 And as I've said, many of the things that were run by people who who are very motivated and it was about doing a trial. 176 00:16:37,900 --> 00:16:42,280 Whereas what you have here is a real life programme which continues to run, 177 00:16:42,280 --> 00:16:46,240 and the research has been kind of mounted on top of that real life programme. 178 00:16:46,240 --> 00:16:53,500 So it's kind of doing it in the reverse order. So you have a programme and you evaluate an existing programme and kind of tries to 179 00:16:53,500 --> 00:16:57,670 answer what Lakshmi was asking about what happens to programmes that you do run. 180 00:16:57,670 --> 00:17:02,080 And so we used a step wedge cluster, randomised controlled trial design. 181 00:17:02,080 --> 00:17:10,840 I won't get into the details of it, but this is a design which is well suited when you're trying to evaluate an implementation research design, 182 00:17:10,840 --> 00:17:17,080 when you're trying to evaluate at scale programmes in real life settings. 183 00:17:17,080 --> 00:17:21,640 And basically, what happens is that every cluster acts as its own control. 184 00:17:21,640 --> 00:17:27,670 And by the time you finish the entire trial, you actually provided the service to everybody. 185 00:17:27,670 --> 00:17:32,440 So ethically also, it tends to be good because the control also get the service that you're going to deliver. 186 00:17:32,440 --> 00:17:39,690 And you're not just walking out without delivering the service to the control, especially with an effective service. 187 00:17:39,690 --> 00:17:49,170 What we had was we looked for use GHQ 12, and the primary outcome was improvement on GHQ 12, and there's a whole host of secondary outcomes. 188 00:17:49,170 --> 00:17:56,700 In particular, we are interested in outcomes such as increased social participation, satisfaction reduction and disability. 189 00:17:56,700 --> 00:18:00,360 And that's a whole whole list of secondary outcomes of the trial. 190 00:18:00,360 --> 00:18:07,600 Had the trials been registered with the trial registry of India and the question of enhanced use. 191 00:18:07,600 --> 00:18:10,230 You know, the usual care, what is usual care. 192 00:18:10,230 --> 00:18:15,810 And we said in the control group, people would get enhanced, usually get an order, then horns usually cleared. 193 00:18:15,810 --> 00:18:22,410 Anyone who met our criteria for being what GHQ calls case, which is a terrible term. 194 00:18:22,410 --> 00:18:31,350 But that's how GHQ called it a case. They would explain the effects of stress and courage to seek help and provided handouts 195 00:18:31,350 --> 00:18:36,300 on how to access mental health services and also ask about utilisation of services. 196 00:18:36,300 --> 00:18:42,060 Again, because this is a real life trial, we were not interested in controlling usual care because if you do that, 197 00:18:42,060 --> 00:18:46,530 then you're back to the old research design. So I know I have five minutes. 198 00:18:46,530 --> 00:18:50,580 I'm going to quickly run you through this. I'm going to highlight a couple of points. 199 00:18:50,580 --> 00:18:57,750 The first is that although we use a GHQ cut-off of three, which is what is used to indicate common mental disorders in community settings, 200 00:18:57,750 --> 00:19:07,080 the average scores, as you can see, are above six both in the control and the intervention side, and six is usually a clinical score. 201 00:19:07,080 --> 00:19:13,050 OK, if you went to a clinic, people coming to a mental health clinic and if you did get scores on them, 202 00:19:13,050 --> 00:19:20,160 people about six are most likely to have a common mental disorder. So, you know, you're you're looking at people who, even by clinic standards, 203 00:19:20,160 --> 00:19:25,350 would have met a condition to be called as having a mental health condition. 204 00:19:25,350 --> 00:19:33,480 The GHQ score is interesting because the scores of 12 to 14 are in the range of what is called as moderate depression. 205 00:19:33,480 --> 00:19:40,050 So these are people who if you normally just saw them with a Q and rated them, they would have scored a moderate depression. 206 00:19:40,050 --> 00:19:47,010 The of the two standard treatment for moderate depression is therapy or antidepressant. 207 00:19:47,010 --> 00:19:51,610 So these are people who would have otherwise qualified to receive therapy or antidepressants. 208 00:19:51,610 --> 00:19:57,770 The G8 the G8 scores are also in the moderate anxiety score level. 209 00:19:57,770 --> 00:20:04,280 So what did we find at the end of three months? I'm not, I know I have a little time and I can talk about the trial in long detail. 210 00:20:04,280 --> 00:20:11,870 But what do you find at the end of three months is that people who have recovered in in are people who received the intervention. 211 00:20:11,870 --> 00:20:17,090 The likelihood of recovering the odds ratios are two point three at the end of three months. 212 00:20:17,090 --> 00:20:22,730 OK, so that 2.3 times more likely to have recovered from this common mental disorder. 213 00:20:22,730 --> 00:20:27,590 And at the end of eight months, which is very interesting because we did an eight month follow up to see four, 214 00:20:27,590 --> 00:20:33,350 we were looking for sustainability of improvement, but what we found is actually an even further increase. 215 00:20:33,350 --> 00:20:40,100 I know the kind of confidence intervals are large and all of that stuff, but there's actually an increase at the end of eight months. 216 00:20:40,100 --> 00:20:43,430 If nothing else, at least these improvements tend to be sustained. 217 00:20:43,430 --> 00:20:49,590 So if people get better, they not only get better, they remain better at the end of eight months. 218 00:20:49,590 --> 00:20:54,810 And all of our continuous measures assure improvement at both three months and eight months, 219 00:20:54,810 --> 00:20:59,550 and as you can see it, eight months, even the quality of life measures have started to improve, 220 00:20:59,550 --> 00:21:06,600 which you don't see that quite the social participation measures which are not so good at three months start to improve at the end of five months, 221 00:21:06,600 --> 00:21:09,930 eight months and even the disability scores have started to improve. 222 00:21:09,930 --> 00:21:12,420 So. So not only is improvement getting sustained, 223 00:21:12,420 --> 00:21:19,300 but you're now seeing and this is something we anticipated that social participation and disability improvements will have a lag. 224 00:21:19,300 --> 00:21:24,810 People get better and it takes time before they get better, then start actually being more functional. 225 00:21:24,810 --> 00:21:29,640 And so after a lag of eight months, you start seeing people getting better like that. 226 00:21:29,640 --> 00:21:37,260 And I know you kind of going to say, OK, this sounds all very good, but look what it what does it say? 227 00:21:37,260 --> 00:21:45,180 As compared to other studies, Friendship Bench uses a very similar structure to ours and band uses badly health workers. 228 00:21:45,180 --> 00:21:51,030 We don't use paid health workers, and these are some of their findings from their study. 229 00:21:51,030 --> 00:21:58,590 Again, they did a very standard, randomised controlled trial with health workers who were trained and paid. 230 00:21:58,590 --> 00:22:03,330 But if you look at the kind of improvement and if we look at our improvements at the end of eight months, 231 00:22:03,330 --> 00:22:11,860 we have very similar kind of rates of improvement. These are adjusted mean differences at the end of eight months. 232 00:22:11,860 --> 00:22:16,150 And then this is the one which I like most, which is if you look at it, 233 00:22:16,150 --> 00:22:22,990 if you compare it to antidepressant studies because everyone thinks that antidepressants are the gold standard for treating depression. 234 00:22:22,990 --> 00:22:30,940 Well, the odds ratios for antidepressant studies range anywhere from one point three to two point one one three or two point two. 235 00:22:30,940 --> 00:22:38,350 We got an odds ratio of two point three. And if you think, Oh, this is carrying it too far, 236 00:22:38,350 --> 00:22:46,180 then I think you need to really question yourself about what your beliefs about mental illnesses and antidepressant treatments and all are. 237 00:22:46,180 --> 00:22:52,720 I think there's a lot of bias in our own minds about how we conceptualise depression and its treatment. 238 00:22:52,720 --> 00:23:00,220 You know, I mean, difference on IQ scores is about one point nine points, and B HQ nine has a smaller range. 239 00:23:00,220 --> 00:23:07,000 It's a zero to seven range. If you look at the antidepressant scores on the diet as the main differences are one point ninety seven, 240 00:23:07,000 --> 00:23:10,360 and that's a scale with a range of fifty seven points. 241 00:23:10,360 --> 00:23:15,850 So in a fifty seven point scale, you get a two point change on a twenty seven point scale, you get a two point change. 242 00:23:15,850 --> 00:23:22,150 I believe we're doing far better or our champions are doing far, far better than even antidepressants would do. 243 00:23:22,150 --> 00:23:28,780 And our effect sizes range from point three two point four, which is similar to what you get the effect sizes with antidepressants. 244 00:23:28,780 --> 00:23:33,040 So how good are people at identifying people with common mental disorders? 245 00:23:33,040 --> 00:23:36,670 And this is just a number to remember about 60 percent of the times they got it right. 246 00:23:36,670 --> 00:23:44,380 If you took a standard measure, 60 percent of the times the standard clinical measure versus the R ID turned out to be right. 247 00:23:44,380 --> 00:23:48,970 We I don't have a data on sensitivity because we didn't structure the trial for sensitivity. 248 00:23:48,970 --> 00:23:51,850 We were interested in specificity. 249 00:23:51,850 --> 00:24:00,100 Health care utilisation, as you can see, there's very little health care utilisation on the on our intervention group, 250 00:24:00,100 --> 00:24:08,720 whereas on the control group, what you see is that there's a lot of effort is being made, but people don't go for treatment. 251 00:24:08,720 --> 00:24:15,050 Got one minute and two more slides to get through these two slides are about what are health economics? 252 00:24:15,050 --> 00:24:21,980 She told me. So I'm not very knowledgeable, but basically what our health economics said was if you look at the total savings, 253 00:24:21,980 --> 00:24:26,690 which in savings to community savings, to individual savings to society and savings to government. 254 00:24:26,690 --> 00:24:31,400 If you add up the total savings, then it adds up to what, forty five thousand rupees? 255 00:24:31,400 --> 00:24:38,960 This is because of the less number of health care visits that you make, the the cost of OPD visits and all of that included together. 256 00:24:38,960 --> 00:24:43,460 And those are people that we are now getting ready on the economic impact. 257 00:24:43,460 --> 00:24:47,780 The other financial impact that we looked for in expenditure per household. 258 00:24:47,780 --> 00:24:54,810 And as you can see that there's a huge amount of borrowing that are people who are not receiving treatment were doing for health care costs. 259 00:24:54,810 --> 00:25:00,080 So people who are borrowing money to receive health care when they have some common mental disorder, 260 00:25:00,080 --> 00:25:03,650 then very often these people are not identified as having a common mental disorder. 261 00:25:03,650 --> 00:25:12,020 They go to a physician who orders lots of tests to give them some medicines, not necessarily receiving anti-depressants. 262 00:25:12,020 --> 00:25:16,010 So there's a lot of challenges in how you do this and how do you sustain it? 263 00:25:16,010 --> 00:25:22,500 We've now got funding from Marijuana Health Initiative to continue this for three more years, so we've got funding. 264 00:25:22,500 --> 00:25:25,770 We will cover the whole district in three years. 265 00:25:25,770 --> 00:25:32,600 We're now trying out our social franchising model, so we've tied up with the Maharashtra government agency, which is a neighbouring state, 266 00:25:32,600 --> 00:25:40,280 to make this into a social franchise, which they could then implement, and we would actually monitor and provide evaluation on. 267 00:25:40,280 --> 00:25:49,970 We are modifying it to use with young people. So we are working with two or large universities in Pune to try and modify this whole 268 00:25:49,970 --> 00:25:55,370 thing so that it would be used in the college for young people within their own settings. 269 00:25:55,370 --> 00:26:01,070 And finally, what we don't do very well is dealing with interpersonal violence or domestic violence, 270 00:26:01,070 --> 00:26:06,380 and that's something that we are now planning to build more work on and try and do better. 271 00:26:06,380 --> 00:26:11,810 We are also hoping we are also hoping to do a bit more graphic work on trying to understand the 272 00:26:11,810 --> 00:26:16,460 context of how these people actually are effective because their effective is still a black box. 273 00:26:16,460 --> 00:26:22,040 What we don't know is why is it effective and what is the stuff that works when people talk to other people? 274 00:26:22,040 --> 00:26:29,990 So that's something that we are hoping to do in the next couple of years, and I'm to stop your I hope I didn't run over time. 275 00:26:29,990 --> 00:26:38,378 Thank you so much.