WEBVTT 00:00:00.433 --> 00:00:03.204 I want you to imagine this for a moment. 00:00:03.204 --> 00:00:06.099 Two men, Rahul and Rajiv, 00:00:06.099 --> 00:00:07.957 living in the same neighborhood, 00:00:07.957 --> 00:00:11.252 from the same educational background, similar occupation, 00:00:11.252 --> 00:00:14.020 and they both turn up at their local accident emergency 00:00:14.020 --> 00:00:16.836 complaining of acute chest pain. 00:00:16.836 --> 00:00:19.960 Rahul is offered a cardiac procedure, 00:00:19.960 --> 00:00:22.771 but Rajiv is sent home. NOTE Paragraph 00:00:22.771 --> 00:00:25.281 What might explain the difference in the experience 00:00:25.281 --> 00:00:28.533 of these two nearly identical men? 00:00:28.533 --> 00:00:32.020 Rajiv suffers from a mental illness. 00:00:32.020 --> 00:00:35.119 The difference in the quality of medical care 00:00:35.119 --> 00:00:37.980 received by people with mental illness is one of the reasons 00:00:37.980 --> 00:00:39.895 why they live shorter lives 00:00:39.895 --> 00:00:41.478 than people without mental illness. 00:00:41.478 --> 00:00:44.148 Even in the best-resourced countries in the world, 00:00:44.148 --> 00:00:48.918 this life expectancy gap is as much as 20 years. 00:00:48.918 --> 00:00:50.843 In the developing countries of the world, this gap 00:00:50.843 --> 00:00:53.468 is even larger. NOTE Paragraph 00:00:53.468 --> 00:00:56.327 But of course, mental illnesses can kill in more direct ways 00:00:56.327 --> 00:00:59.688 as well. The most obvious example is suicide. 00:00:59.688 --> 00:01:02.343 It might surprise some of you here, as it did me, 00:01:02.343 --> 00:01:05.280 when I discovered that suicide is at the top of the list 00:01:05.280 --> 00:01:07.845 of the leading causes of death in young people 00:01:07.845 --> 00:01:09.493 in all countries in the world, 00:01:09.493 --> 00:01:12.885 including the poorest countries of the world. NOTE Paragraph 00:01:12.885 --> 00:01:15.719 But beyond the impact of a health condition 00:01:15.719 --> 00:01:18.089 on life expectancy, we're also concerned 00:01:18.089 --> 00:01:20.783 about the quality of life lived. 00:01:20.783 --> 00:01:23.032 Now, in order for us to examine the overall impact 00:01:23.032 --> 00:01:25.405 of a health condition both on life expectancy 00:01:25.405 --> 00:01:28.563 as well as on the quality of life lived, we need to use 00:01:28.563 --> 00:01:29.949 a metric called the DALY, 00:01:29.949 --> 00:01:34.236 which stands for a Disability-Adjusted Life Year. 00:01:34.236 --> 00:01:36.757 Now when we do that, we discover some startling things 00:01:36.757 --> 00:01:39.579 about mental illness from a global perspective. 00:01:39.579 --> 00:01:42.843 We discover that, for example, mental illnesses are 00:01:42.843 --> 00:01:47.431 amongst the leading causes of disability around the world. 00:01:47.431 --> 00:01:50.166 Depression, for example, is the third-leading cause 00:01:50.166 --> 00:01:53.138 of disability, alongside conditions such as 00:01:53.138 --> 00:01:56.490 diarrhea and pneumonia in children. 00:01:56.490 --> 00:01:58.594 When you put all the mental illnesses together, 00:01:58.594 --> 00:02:00.856 they account for roughly 15 percent 00:02:00.856 --> 00:02:04.062 of the total global burden of disease. 00:02:04.062 --> 00:02:08.573 Indeed, mental illnesses are also very damaging 00:02:08.573 --> 00:02:14.018 to people's lives, but beyond just the burden of disease, 00:02:14.018 --> 00:02:16.730 let us consider the absolute numbers. 00:02:16.730 --> 00:02:18.789 The World Health Organization estimates 00:02:18.789 --> 00:02:21.894 that there are nearly four to five hundred million people 00:02:21.894 --> 00:02:24.077 living on our tiny planet 00:02:24.077 --> 00:02:25.738 who are affected by a mental illness. 00:02:25.738 --> 00:02:27.457 Now some of you here 00:02:27.457 --> 00:02:30.055 look a bit astonished by that number, 00:02:30.055 --> 00:02:32.548 but consider for a moment the incredible diversity 00:02:32.548 --> 00:02:35.702 of mental illnesses, from autism and intellectual disability 00:02:35.702 --> 00:02:38.383 in childhood, through to depression and anxiety, 00:02:38.383 --> 00:02:40.664 substance misuse and psychosis in adulthood, 00:02:40.664 --> 00:02:42.300 all the way through to dementia in old age, 00:02:42.300 --> 00:02:45.254 and I'm pretty sure that each and every one us 00:02:45.254 --> 00:02:48.606 present here today can think of at least one person, 00:02:48.606 --> 00:02:51.928 at least one person, who's affected by mental illness 00:02:51.928 --> 00:02:56.359 in our most intimate social networks. 00:02:56.359 --> 00:02:59.564 I see some nodding heads there. NOTE Paragraph 00:02:59.564 --> 00:03:02.534 But beyond the staggering numbers, 00:03:02.534 --> 00:03:05.543 what's truly important from a global health point of view, 00:03:05.543 --> 00:03:08.088 what's truly worrying from a global health point of view, 00:03:08.088 --> 00:03:11.256 is that the vast majority of these affected individuals 00:03:11.256 --> 00:03:13.265 do not receive the care 00:03:13.265 --> 00:03:15.731 that we know can transform their lives, and remember, 00:03:15.731 --> 00:03:18.792 we do have robust evidence that a range of interventions, 00:03:18.792 --> 00:03:21.244 medicines, psychological interventions, 00:03:21.244 --> 00:03:24.732 and social interventions, can make a vast difference. 00:03:24.732 --> 00:03:26.983 And yet, even in the best-resourced countries, 00:03:26.983 --> 00:03:29.918 for example here in Europe, roughly 50 percent 00:03:29.918 --> 00:03:33.035 of affected people don't receive these interventions. 00:03:33.035 --> 00:03:35.352 In the sorts of countries I work in, 00:03:35.352 --> 00:03:37.502 that so-called treatment gap 00:03:37.502 --> 00:03:42.389 approaches an astonishing 90 percent. 00:03:42.389 --> 00:03:45.601 It isn't surprising, then, that if you should speak 00:03:45.601 --> 00:03:48.032 to anyone affected by a mental illness, 00:03:48.032 --> 00:03:50.844 the chances are that you will hear stories 00:03:50.844 --> 00:03:54.894 of hidden suffering, shame and discrimination 00:03:54.894 --> 00:03:57.843 in nearly every sector of their lives. 00:03:57.843 --> 00:04:00.553 But perhaps most heartbreaking of all 00:04:00.553 --> 00:04:03.242 are the stories of the abuse 00:04:03.242 --> 00:04:05.774 of even the most basic human rights, 00:04:05.774 --> 00:04:08.631 such as the young woman shown in this image here 00:04:08.631 --> 00:04:10.695 that are played out every day, 00:04:10.695 --> 00:04:14.639 sadly, even in the very institutions that were built to care 00:04:14.639 --> 00:04:18.474 for people with mental illnesses, the mental hospitals. NOTE Paragraph 00:04:18.474 --> 00:04:21.502 It's this injustice that has really driven my mission 00:04:21.502 --> 00:04:23.894 to try to do a little bit to transform the lives 00:04:23.894 --> 00:04:26.640 of people affected by mental illness, and a particularly 00:04:26.640 --> 00:04:30.489 critical action that I focused on is to bridge the gulf 00:04:30.489 --> 00:04:33.275 between the knowledge we have that can transform lives, 00:04:33.275 --> 00:04:35.717 the knowledge of effective treatments, and how we actually 00:04:35.717 --> 00:04:39.139 use that knowledge in the everyday world. 00:04:39.139 --> 00:04:42.298 And an especially important challenge that I've had to face 00:04:42.298 --> 00:04:45.223 is the great shortage of mental health professionals, 00:04:45.223 --> 00:04:46.895 such as psychiatrists and psychologists, 00:04:46.895 --> 00:04:49.683 particularly in the developing world. NOTE Paragraph 00:04:49.683 --> 00:04:52.368 Now I trained in medicine in India, and after that 00:04:52.368 --> 00:04:55.787 I chose psychiatry as my specialty, much to the dismay 00:04:55.787 --> 00:04:58.015 of my mother and all my family members who 00:04:58.015 --> 00:04:59.718 kind of thought neurosurgery would be 00:04:59.718 --> 00:05:02.887 a more respectable option for their brilliant son. 00:05:02.887 --> 00:05:05.621 Any case, I went on, I soldiered on with psychiatry, 00:05:05.621 --> 00:05:07.916 and found myself training in Britain in some of 00:05:07.916 --> 00:05:10.291 the best hospitals in this country. I was very privileged. 00:05:10.291 --> 00:05:13.834 I worked in a team of incredibly talented, compassionate, 00:05:13.834 --> 00:05:17.085 but most importantly, highly trained, specialized 00:05:17.085 --> 00:05:19.276 mental health professionals. NOTE Paragraph 00:05:19.276 --> 00:05:21.248 Soon after my training, I found myself working 00:05:21.248 --> 00:05:23.691 first in Zimbabwe and then in India, and I was confronted 00:05:23.691 --> 00:05:26.551 by an altogether new reality. 00:05:26.551 --> 00:05:29.897 This was a reality of a world in which there were almost no 00:05:29.897 --> 00:05:32.262 mental health professionals at all. 00:05:32.262 --> 00:05:34.296 In Zimbabwe, for example, there were just about 00:05:34.296 --> 00:05:37.356 a dozen psychiatrists, most of whom lived and worked 00:05:37.356 --> 00:05:39.482 in Harare city, leaving only a couple 00:05:39.482 --> 00:05:41.875 to address the mental health care needs 00:05:41.875 --> 00:05:45.543 of nine million people living in the countryside. NOTE Paragraph 00:05:45.543 --> 00:05:49.160 In India, I found the situation was not a lot better. 00:05:49.160 --> 00:05:51.583 To give you a perspective, if I had to translate 00:05:51.583 --> 00:05:53.791 the proportion of psychiatrists in the population 00:05:53.791 --> 00:05:56.173 that one might see in Britain to India, 00:05:56.173 --> 00:06:01.782 one might expect roughly 150,000 psychiatrists in India. 00:06:01.782 --> 00:06:04.813 In reality, take a guess. 00:06:04.813 --> 00:06:07.378 The actual number is about 3,000, 00:06:07.378 --> 00:06:09.842 about two percent of that number. NOTE Paragraph 00:06:09.842 --> 00:06:12.339 It became quickly apparent to me that I couldn't follow 00:06:12.339 --> 00:06:15.400 the sorts of mental health care models that I had been trained in, 00:06:15.400 --> 00:06:18.339 one that relied heavily on specialized, expensive 00:06:18.339 --> 00:06:20.871 mental health professionals to provide mental health care 00:06:20.871 --> 00:06:23.331 in countries like India and Zimbabwe. 00:06:23.331 --> 00:06:25.984 I had to think out of the box about some other model 00:06:25.984 --> 00:06:27.607 of care. NOTE Paragraph 00:06:27.607 --> 00:06:30.720 It was then that I came across these books, 00:06:30.720 --> 00:06:33.963 and in these books I discovered the idea of task shifting 00:06:33.963 --> 00:06:36.031 in global health. 00:06:36.031 --> 00:06:38.307 The idea is actually quite simple. The idea is, 00:06:38.307 --> 00:06:41.321 when you're short of specialized health care professionals, 00:06:41.321 --> 00:06:44.370 use whoever is available in the community, 00:06:44.370 --> 00:06:47.307 train them to provide a range of health care interventions, 00:06:47.307 --> 00:06:50.175 and in these books I read inspiring examples, 00:06:50.175 --> 00:06:53.111 for example of how ordinary people had been trained 00:06:53.111 --> 00:06:54.464 to deliver babies, 00:06:54.464 --> 00:06:58.095 diagnose and treat early pneumonia, to great effect. 00:06:58.095 --> 00:07:00.846 And it struck me that if you could train ordinary people 00:07:00.846 --> 00:07:03.070 to deliver such complex health care interventions, 00:07:03.070 --> 00:07:05.143 then perhaps they could also do the same 00:07:05.143 --> 00:07:07.135 with mental health care. NOTE Paragraph 00:07:07.135 --> 00:07:10.004 Well today, I'm very pleased to report to you 00:07:10.004 --> 00:07:13.116 that there have been many experiments in task shifting 00:07:13.116 --> 00:07:15.887 in mental health care across the developing world 00:07:15.887 --> 00:07:17.950 over the past decade, and I want to share with you 00:07:17.950 --> 00:07:20.647 the findings of three particular such experiments, 00:07:20.647 --> 00:07:22.734 all three of which focused on depression, 00:07:22.734 --> 00:07:25.169 the most common of all mental illnesses. 00:07:25.169 --> 00:07:28.511 In rural Uganda, Paul Bolton and his colleagues, 00:07:28.511 --> 00:07:32.355 using villagers, demonstrated that they could deliver 00:07:32.355 --> 00:07:34.710 interpersonal psychotherapy for depression 00:07:34.710 --> 00:07:37.382 and, using a randomized control design, 00:07:37.382 --> 00:07:39.627 showed that 90 percent of the people receiving 00:07:39.627 --> 00:07:41.587 this intervention recovered as compared 00:07:41.587 --> 00:07:45.128 to roughly 40 percent in the comparison villages. 00:07:45.128 --> 00:07:49.268 Similarly, using a randomized control trial in rural Pakistan, 00:07:49.268 --> 00:07:51.608 Atif Rahman and his colleagues showed 00:07:51.608 --> 00:07:54.343 that lady health visitors, who are community maternal 00:07:54.343 --> 00:07:57.132 health workers in Pakistan's health care system, 00:07:57.132 --> 00:07:59.349 could deliver cognitive behavior therapy for mothers 00:07:59.349 --> 00:08:01.857 who were depressed, again showing dramatic differences 00:08:01.857 --> 00:08:04.704 in the recovery rates. Roughly 75 percent of mothers 00:08:04.704 --> 00:08:07.269 recovered as compared to about 45 percent 00:08:07.269 --> 00:08:09.553 in the comparison villages. 00:08:09.553 --> 00:08:12.639 And in my own trial in Goa, in India, we again showed 00:08:12.639 --> 00:08:15.167 that lay counselors drawn from local communities 00:08:15.167 --> 00:08:17.851 could be trained to deliver psychosocial interventions 00:08:17.851 --> 00:08:20.433 for depression, anxiety, leading to 70 percent 00:08:20.433 --> 00:08:22.516 recovery rates as compared to 50 percent 00:08:22.516 --> 00:08:25.722 in the comparison primary health centers. NOTE Paragraph 00:08:25.722 --> 00:08:27.691 Now, if I had to draw together all these different 00:08:27.691 --> 00:08:30.223 experiments in task shifting, and there have of course 00:08:30.223 --> 00:08:32.597 been many other examples, and try and identify 00:08:32.597 --> 00:08:34.615 what are the key lessons we can learn that makes 00:08:34.615 --> 00:08:37.693 for a successful task shifting operation, 00:08:37.693 --> 00:08:41.549 I have coined this particular acronym, SUNDAR. 00:08:41.549 --> 00:08:45.783 What SUNDAR stands for, in Hindi, is "attractive." 00:08:45.783 --> 00:08:47.998 It seems to me that there are five key lessons 00:08:47.998 --> 00:08:50.597 that I've shown on this slide that are critically important 00:08:50.597 --> 00:08:52.780 for effective task shifting. 00:08:52.780 --> 00:08:55.806 The first is that we need to simplify the message 00:08:55.806 --> 00:08:58.190 that we're using, stripping away all the jargon 00:08:58.190 --> 00:09:01.511 that medicine has invented around itself. 00:09:01.511 --> 00:09:04.468 We need to unpack complex health care interventions 00:09:04.468 --> 00:09:06.696 into smaller components that can be more easily 00:09:06.696 --> 00:09:09.351 transferred to less-trained individuals. 00:09:09.351 --> 00:09:11.918 We need to deliver health care, not in large institutions, 00:09:11.918 --> 00:09:14.144 but close to people's homes, and we need to deliver 00:09:14.144 --> 00:09:16.916 health care using whoever is available and affordable 00:09:16.916 --> 00:09:19.297 in our local communities. 00:09:19.297 --> 00:09:22.177 And importantly, we need to reallocate the few specialists 00:09:22.177 --> 00:09:24.245 who are available to perform roles 00:09:24.245 --> 00:09:27.723 such as capacity-building and supervision. NOTE Paragraph 00:09:27.723 --> 00:09:30.055 Now for me, task shifting is an idea 00:09:30.055 --> 00:09:33.014 with truly global significance, 00:09:33.014 --> 00:09:35.547 because even though it has arisen out of the 00:09:35.547 --> 00:09:39.045 situation of the lack of resources that you find 00:09:39.045 --> 00:09:42.004 in developing countries, I think it has a lot of significance 00:09:42.004 --> 00:09:44.885 for better-resourced countries as well. Why is that? 00:09:44.885 --> 00:09:48.405 Well, in part, because health care in the developed world, 00:09:48.405 --> 00:09:50.880 the health care costs in the [developed] world, 00:09:50.880 --> 00:09:53.457 are rapidly spiraling out of control, and a huge chunk 00:09:53.457 --> 00:09:56.877 of those costs are human resource costs. 00:09:56.877 --> 00:09:59.363 But equally important is because health care has become 00:09:59.363 --> 00:10:03.200 so incredibly professionalized that it's become very remote 00:10:03.200 --> 00:10:05.955 and removed from local communities. 00:10:05.955 --> 00:10:09.677 For me, what's truly sundar about the idea of task shifting, 00:10:09.677 --> 00:10:11.323 though, isn't that it simply makes health care 00:10:11.323 --> 00:10:14.481 more accessible and affordable but that 00:10:14.481 --> 00:10:17.037 it is also fundamentally empowering. 00:10:17.037 --> 00:10:20.669 It empowers ordinary people to be more effective 00:10:20.669 --> 00:10:23.492 in caring for the health of others in their community, 00:10:23.492 --> 00:10:24.981 and in doing so, to become better guardians 00:10:24.981 --> 00:10:28.263 of their own health. Indeed, for me, task shifting 00:10:28.263 --> 00:10:30.950 is the ultimate example of the democratization 00:10:30.950 --> 00:10:36.199 of medical knowledge, and therefore, medical power. NOTE Paragraph 00:10:36.199 --> 00:10:39.650 Just over 30 years ago, the nations of the world assembled 00:10:39.650 --> 00:10:42.623 at Alma-Ata and made this iconic declaration. 00:10:42.623 --> 00:10:44.228 Well, I think all of you can guess 00:10:44.228 --> 00:10:47.943 that 12 years on, we're still nowhere near that goal. 00:10:47.943 --> 00:10:50.608 Still, today, armed with that knowledge 00:10:50.608 --> 00:10:53.264 that ordinary people in the community 00:10:53.264 --> 00:10:56.427 can be trained and, with sufficient supervision and support, 00:10:56.427 --> 00:10:59.699 can deliver a range of health care interventions effectively, 00:10:59.699 --> 00:11:03.580 perhaps that promise is within reach now. 00:11:03.580 --> 00:11:07.224 Indeed, to implement the slogan of Health for All, 00:11:07.224 --> 00:11:09.010 we will need to involve all 00:11:09.010 --> 00:11:10.669 in that particular journey, 00:11:10.669 --> 00:11:13.615 and in the case of mental health, in particular we would 00:11:13.615 --> 00:11:16.518 need to involve people who are affected by mental illness 00:11:16.518 --> 00:11:17.972 and their caregivers. NOTE Paragraph 00:11:17.972 --> 00:11:20.508 It is for this reason that, some years ago, 00:11:20.508 --> 00:11:22.426 the Movement for Global Mental Health was founded 00:11:22.426 --> 00:11:26.449 as a sort of a virtual platform upon which professionals 00:11:26.449 --> 00:11:29.256 like myself and people affected by mental illness 00:11:29.256 --> 00:11:31.968 could stand together, shoulder-to-shoulder, 00:11:31.968 --> 00:11:34.454 and advocate for the rights of people with mental illness 00:11:34.454 --> 00:11:37.671 to receive the care that we know can transform their lives, 00:11:37.671 --> 00:11:40.680 and to live a life with dignity. NOTE Paragraph 00:11:40.680 --> 00:11:44.197 And in closing, when you have a moment of peace or quiet 00:11:44.197 --> 00:11:47.023 in these very busy few days or perhaps afterwards, 00:11:47.023 --> 00:11:49.777 spare a thought for that person you thought about 00:11:49.777 --> 00:11:52.354 who has a mental illness, or persons that you thought about 00:11:52.354 --> 00:11:53.942 who have mental illness, 00:11:53.942 --> 00:11:57.746 and dare to care for them. Thank you. (Applause) 00:11:57.746 --> 00:12:01.810 (Applause)