1 00:00:00,640 --> 00:00:04,200 Speaker 1: Hi everyone, I'm Katie Current and welcome to next question. 2 00:00:07,480 --> 00:00:11,639 Speaker 1: And that same set of double doors opened, and those 3 00:00:11,680 --> 00:00:14,520 Speaker 1: same two residents came through that set of double doors 4 00:00:15,280 --> 00:00:18,279 Speaker 1: along with another doctor that I had never laid eyes on, 5 00:00:19,640 --> 00:00:26,040 Speaker 1: and they told me that um, she passed and there 6 00:00:26,079 --> 00:00:29,120 Speaker 1: was nothing else that they could do to Saber. I 7 00:00:29,240 --> 00:00:34,440 Speaker 1: just remember the scream that my mother in law at all. 8 00:00:34,800 --> 00:00:39,159 Speaker 1: I remember, you know, her aunt falling to the floor. 9 00:00:39,200 --> 00:00:42,240 Speaker 1: I remember her brother just yelling, and I just remember 10 00:00:42,240 --> 00:00:44,080 Speaker 1: I'm just looking around at all these people that I 11 00:00:44,159 --> 00:00:46,839 Speaker 1: love so much and that love cure so much and 12 00:00:47,040 --> 00:00:49,360 Speaker 1: so much pain, and I'm just standing there in shock. 13 00:00:50,400 --> 00:00:53,360 Speaker 1: It's like no, no, no, no, and just insisting that 14 00:00:53,440 --> 00:00:58,840 Speaker 1: they something didn't happen, because literally twelve hours earlier we 15 00:00:58,960 --> 00:01:00,920 Speaker 1: walked into this hospit but with a woman that and 16 00:01:01,080 --> 00:01:03,280 Speaker 1: only was in good health, it was an exceptional health. 17 00:01:04,760 --> 00:01:07,520 Speaker 1: Not only that, I was just talking to her when 18 00:01:07,560 --> 00:01:09,160 Speaker 1: she walked away from me, I was holding her hand, 19 00:01:09,200 --> 00:01:14,200 Speaker 1: I was talking to her. How did this happen? On 20 00:01:14,319 --> 00:01:18,640 Speaker 1: April two thousand sixteen, Charles Johnson and his wife Kia 21 00:01:19,040 --> 00:01:23,640 Speaker 1: became a part of a shameful statistic America's maternal mortality 22 00:01:23,760 --> 00:01:27,840 Speaker 1: rate in the US and estimated two women die every 23 00:01:27,959 --> 00:01:33,080 Speaker 1: day from pregnancy and childbirth related causes, and six of 24 00:01:33,120 --> 00:01:37,640 Speaker 1: those deaths could have been prevented. What's scary now is 25 00:01:37,720 --> 00:01:41,920 Speaker 1: that those numbers don't take the coronavirus into consideration and 26 00:01:42,000 --> 00:01:45,720 Speaker 1: the effect a pandemic could have on an already fragile 27 00:01:45,840 --> 00:01:50,160 Speaker 1: maternal health system. The fact is the situation was bleak 28 00:01:50,280 --> 00:01:55,840 Speaker 1: long before COVID nineteen hit the US in early Over 29 00:01:55,880 --> 00:01:59,120 Speaker 1: the past three decades, while the world has drastically reduced 30 00:01:59,120 --> 00:02:02,240 Speaker 1: its maternal more vality rate, the U s is the 31 00:02:02,280 --> 00:02:06,440 Speaker 1: only developed nation to see its rate go up, and 32 00:02:06,640 --> 00:02:10,200 Speaker 1: go up significantly. The US now has one of the 33 00:02:10,280 --> 00:02:13,520 Speaker 1: highest mortality rates in the developed world, a fact that 34 00:02:13,639 --> 00:02:17,400 Speaker 1: was so shocking to me, that seems so incongruous, that 35 00:02:17,480 --> 00:02:20,200 Speaker 1: I set out to understand how this could be possible. 36 00:02:20,680 --> 00:02:23,600 Speaker 1: And so today part one of our look into America's 37 00:02:23,639 --> 00:02:28,320 Speaker 1: maternal mortality crisis and my next question, what's behind this 38 00:02:28,400 --> 00:02:36,080 Speaker 1: devastating trend. To answer that question, we have to go 39 00:02:36,160 --> 00:02:42,480 Speaker 1: back to cure a story. We were just over the moon, 40 00:02:42,600 --> 00:02:45,720 Speaker 1: ecstatic to welcome our first son, Charles. It was just 41 00:02:45,760 --> 00:02:50,160 Speaker 1: such a tremendous blessing We've always talked about having back 42 00:02:50,200 --> 00:02:52,280 Speaker 1: to back boys. You know. The first time around, we 43 00:02:52,400 --> 00:02:55,919 Speaker 1: talked about all the politically correct stuff. We're not really 44 00:02:55,919 --> 00:02:59,360 Speaker 1: worried about what jenitors. As long as it's a healthy baby, 45 00:02:59,400 --> 00:03:01,760 Speaker 1: we don't care. But by the time the second one 46 00:03:01,800 --> 00:03:04,200 Speaker 1: came around, Kira had her mind made up. She was like, 47 00:03:04,240 --> 00:03:07,280 Speaker 1: I'm a boy's mom. This is where I get in, 48 00:03:07,280 --> 00:03:10,080 Speaker 1: where I fit in. Kira and Charles were married in 49 00:03:10,280 --> 00:03:13,600 Speaker 1: two thousand and twelve. Two years later, they welcomed their 50 00:03:13,639 --> 00:03:17,840 Speaker 1: first son, Charles the fifth, via C section in Atlanta, 51 00:03:17,960 --> 00:03:20,600 Speaker 1: and two thousand and fifteen, a job opportunity moved the 52 00:03:20,639 --> 00:03:23,840 Speaker 1: young family out to Los Angeles, where they were preparing 53 00:03:23,880 --> 00:03:26,880 Speaker 1: for the birth of their second son, who they decided 54 00:03:27,000 --> 00:03:30,920 Speaker 1: to call Langston. We interviewed about I think about three 55 00:03:31,040 --> 00:03:33,760 Speaker 1: or four different O. B. G Yan's, and we had 56 00:03:33,800 --> 00:03:36,720 Speaker 1: also made the decision very early on that we wanted 57 00:03:36,760 --> 00:03:40,680 Speaker 1: to deliver at Cedar Sinai Hospital. It was our understanding 58 00:03:41,000 --> 00:03:43,440 Speaker 1: that Cedar sign I was supposed to be, you know, 59 00:03:43,600 --> 00:03:45,800 Speaker 1: one of the best places, certainly in the state of California, 60 00:03:46,240 --> 00:03:48,480 Speaker 1: and it had a reputation of being, you know, one 61 00:03:48,520 --> 00:03:50,720 Speaker 1: of the best places in the country. Particularly in the 62 00:03:50,760 --> 00:03:54,640 Speaker 1: area of eccentrics and delivery. Beyond a little bit of 63 00:03:54,720 --> 00:03:59,720 Speaker 1: nausea early on, Kira's second pregnancy passes without incident. She's thirty, 64 00:04:00,280 --> 00:04:03,920 Speaker 1: she's fit, she's healthy, and she has the resources to 65 00:04:04,040 --> 00:04:07,360 Speaker 1: choose her care. Because Kira had a C section with 66 00:04:07,400 --> 00:04:10,560 Speaker 1: her first delivery, her doctor recommends they do the same 67 00:04:10,640 --> 00:04:14,160 Speaker 1: for the second. She's scheduled for a routine C section 68 00:04:14,480 --> 00:04:18,400 Speaker 1: on April twelve, two thousand and sixteen, at Cedars Sinai 69 00:04:18,480 --> 00:04:22,799 Speaker 1: Hospital in l A. So we walked in for Lengthson's 70 00:04:22,839 --> 00:04:27,400 Speaker 1: delivery for the scheduled C section at two o'clock, and 71 00:04:27,440 --> 00:04:31,800 Speaker 1: so Lengthon is born, perfectly healthy, tin fingers, tin toes, 72 00:04:32,560 --> 00:04:35,080 Speaker 1: you know, super super handsome, looking just like me. And 73 00:04:35,120 --> 00:04:39,120 Speaker 1: it's just we're just overwhelmed with all this, just joy 74 00:04:39,160 --> 00:04:42,719 Speaker 1: and pride of just welcoming this precious gift into our lives. 75 00:04:42,800 --> 00:04:48,240 Speaker 1: And so shortly after the delivery, they take us back 76 00:04:48,279 --> 00:04:52,960 Speaker 1: to recovery. You're sitting in the bed resting, and Lengthon 77 00:04:53,080 --> 00:04:56,520 Speaker 1: is there and the little incubator toaster thingy. And as 78 00:04:56,560 --> 00:05:01,279 Speaker 1: I'm sitting there, I looked down here's bedside, and I 79 00:05:01,320 --> 00:05:03,640 Speaker 1: begin to see the calf that are the fully catheter 80 00:05:04,080 --> 00:05:06,640 Speaker 1: coming from her bedside begin to turn pink with blood. 81 00:05:09,160 --> 00:05:11,560 Speaker 1: And so this was around four o'clock in the afternoon, 82 00:05:12,279 --> 00:05:14,839 Speaker 1: and I brought it to the attention to the doctors 83 00:05:14,839 --> 00:05:18,120 Speaker 1: and the nurses and cedars, and they come in, they 84 00:05:18,160 --> 00:05:21,440 Speaker 1: examine cure, They examine her physically and take her vitals. 85 00:05:22,160 --> 00:05:25,320 Speaker 1: They do an art sound, but very importantly, they order 86 00:05:25,400 --> 00:05:30,760 Speaker 1: a CT scan to be performed stat When the results 87 00:05:30,800 --> 00:05:34,520 Speaker 1: from those initial tests come back, they're not good. Kira's 88 00:05:34,560 --> 00:05:38,799 Speaker 1: blood levels are abnormal and the ultrasound shows fluid filling 89 00:05:38,839 --> 00:05:42,560 Speaker 1: her abdomen, but there's no action from the staff. As 90 00:05:42,640 --> 00:05:46,680 Speaker 1: CIA's condition continues to deteriorate, she's forced to wait for 91 00:05:46,720 --> 00:05:53,440 Speaker 1: the next step. The CT scan. Six o'clock comes, no 92 00:05:53,640 --> 00:05:58,440 Speaker 1: CT scan. Seven o'clock, no CT scan, eight o'clock, Still 93 00:05:58,480 --> 00:06:01,400 Speaker 1: no CT scans, Still haven't take her back to surgery. 94 00:06:01,680 --> 00:06:07,560 Speaker 1: Ten o'clock comes, no CT scan. E eleven o'clock comes, 95 00:06:08,160 --> 00:06:13,720 Speaker 1: no CT scan. At this point, Kira's pale, shivering, uncontrollably, 96 00:06:14,160 --> 00:06:17,640 Speaker 1: and sensitive to touch. In the seven hours since Charles 97 00:06:17,680 --> 00:06:20,880 Speaker 1: first noticed blood and Kira's catheter, he and his family 98 00:06:20,920 --> 00:06:25,320 Speaker 1: have been relentlessly advocating for her, asking for help, asking 99 00:06:25,400 --> 00:06:30,760 Speaker 1: for that CT scan, for attention, for anything. Were you 100 00:06:30,800 --> 00:06:35,239 Speaker 1: going crazy, Charles? I can only imagine that you were, uh, 101 00:06:35,279 --> 00:06:38,479 Speaker 1: you know, I think about Shirley McClain in terms of endearment, 102 00:06:38,600 --> 00:06:43,120 Speaker 1: that you were just furious. I was doing my best 103 00:06:43,360 --> 00:06:48,400 Speaker 1: to stay calm in this In this moment, I have 104 00:06:48,560 --> 00:06:53,239 Speaker 1: a wife who is clearly um fighting for her life. 105 00:06:53,240 --> 00:06:55,479 Speaker 1: I have a newborn baby. I have family members that 106 00:06:55,520 --> 00:06:58,000 Speaker 1: are all looking and saying, what's going on? We need answers. 107 00:06:58,400 --> 00:07:01,840 Speaker 1: And Kira's whole time, even her most vulnerable, her thing 108 00:07:01,880 --> 00:07:06,200 Speaker 1: to me was, baby, just stay calm in that moment. 109 00:07:06,200 --> 00:07:08,520 Speaker 1: As much as I wanted to yell and scream and 110 00:07:08,560 --> 00:07:11,880 Speaker 1: slam my fists on the nurses station or grab a 111 00:07:11,920 --> 00:07:15,160 Speaker 1: doctor by the collar, what Kira knew, even her most 112 00:07:15,200 --> 00:07:18,480 Speaker 1: vulnerable state, was that the moment I raised my voice, 113 00:07:18,560 --> 00:07:22,360 Speaker 1: the moment I become too aggressive as an African American male, 114 00:07:22,640 --> 00:07:26,800 Speaker 1: I become seen as a threat. And ultimately she was 115 00:07:26,840 --> 00:07:29,920 Speaker 1: concerned that I would be then that they would call security, 116 00:07:30,080 --> 00:07:33,600 Speaker 1: and then I'd be removed from the situation. Um. And 117 00:07:33,640 --> 00:07:38,760 Speaker 1: so even in my most heightened the point of anger, 118 00:07:39,160 --> 00:07:41,640 Speaker 1: I do my best to stay calm and communicated as 119 00:07:41,640 --> 00:07:44,040 Speaker 1: effectively as I can, and even to the point around 120 00:07:44,120 --> 00:07:46,320 Speaker 1: nine o'clock Katie, I pulled a nurse to the side 121 00:07:46,320 --> 00:07:48,440 Speaker 1: of Cedars and as I grabbed her by her hands 122 00:07:48,440 --> 00:07:50,240 Speaker 1: and I just said, look, I looked turned eyes and said, 123 00:07:50,280 --> 00:07:52,840 Speaker 1: I need help. My wife isn't doing good. They're telling 124 00:07:52,920 --> 00:07:54,800 Speaker 1: us they're gonna take her back to surgery. They're telling 125 00:07:54,880 --> 00:07:57,320 Speaker 1: us that they need to do a CT scam, but 126 00:07:57,360 --> 00:08:01,160 Speaker 1: nobody's coming. They haven't done anything. We need help. And 127 00:08:01,200 --> 00:08:04,040 Speaker 1: the woman looked me in my eyes and said, sir, 128 00:08:04,120 --> 00:08:08,360 Speaker 1: your wife just isn't a priority right now, and then 129 00:08:08,400 --> 00:08:17,760 Speaker 1: she just walked away. That CT scan never comes and 130 00:08:17,840 --> 00:08:21,120 Speaker 1: it isn't until after midnight that the staff makes the 131 00:08:21,200 --> 00:08:25,280 Speaker 1: decision to take your back to surgery. At this point, 132 00:08:25,400 --> 00:08:29,800 Speaker 1: she's extremely weak, but she's conscious and has been since 133 00:08:29,920 --> 00:08:33,880 Speaker 1: Charles first alerted the staff that something was wrong more 134 00:08:33,920 --> 00:08:39,560 Speaker 1: than eight hours ago. I'm frustrated, I'm angry, I have 135 00:08:39,640 --> 00:08:41,760 Speaker 1: all this mix of emotions, but a certain part of 136 00:08:41,760 --> 00:08:46,720 Speaker 1: me is relieved because they're finally doing something. And you know, 137 00:08:46,760 --> 00:08:50,839 Speaker 1: as we're walking down the hall uh towards the o 138 00:08:51,120 --> 00:08:53,800 Speaker 1: R and I'm walking next to her bedside and I'm 139 00:08:53,840 --> 00:08:58,360 Speaker 1: holding here's hand. She's holding my hand, and she's saying, baby, 140 00:08:58,360 --> 00:09:03,920 Speaker 1: I'm scared. I can't even really think of many times 141 00:09:03,960 --> 00:09:07,920 Speaker 1: and the you know, years I've known this woman that 142 00:09:07,960 --> 00:09:12,480 Speaker 1: she's ever uttered those words. And as I'm walking next 143 00:09:12,520 --> 00:09:14,800 Speaker 1: to her, I'm doing the only thing I know how 144 00:09:14,840 --> 00:09:17,080 Speaker 1: to do as a husband, which is just trying and 145 00:09:17,120 --> 00:09:19,800 Speaker 1: tell her that maybe everything's gonna be okay. It's gonna 146 00:09:19,840 --> 00:09:25,200 Speaker 1: be okay. They wheel her away and finally get to 147 00:09:25,200 --> 00:09:28,800 Speaker 1: this point where these double doors open and they close 148 00:09:28,920 --> 00:09:35,680 Speaker 1: behind her. Ah. They take me into a waiting room, 149 00:09:35,720 --> 00:09:38,479 Speaker 1: the exact same waiting room that we were in that afternoon, 150 00:09:39,960 --> 00:09:45,120 Speaker 1: full of mothers with these humongous bellies and balloons and 151 00:09:45,280 --> 00:09:52,319 Speaker 1: families with cameras and all this wonderful, beautiful, anxious anticipation 152 00:09:52,520 --> 00:09:57,200 Speaker 1: to welcome these new lives into the world. And now 153 00:09:57,240 --> 00:09:59,720 Speaker 1: it's almost one o'clock in the morning and I'm in 154 00:09:59,800 --> 00:10:03,480 Speaker 1: the I'm the only person in the room, all by myself, 155 00:10:04,440 --> 00:10:09,920 Speaker 1: and it is just eerily silent, and the only thing 156 00:10:09,960 --> 00:10:14,959 Speaker 1: I hear is literally the janitor's vacuum going back and forth. 157 00:10:17,559 --> 00:10:20,960 Speaker 1: And about twenty minutes go by, and the set of 158 00:10:20,960 --> 00:10:25,959 Speaker 1: double doors open and a set of two residents come 159 00:10:26,040 --> 00:10:29,800 Speaker 1: walking through the doors, and as they get closer to me, 160 00:10:29,840 --> 00:10:32,120 Speaker 1: I can see that the looks on their face it 161 00:10:32,200 --> 00:10:35,199 Speaker 1: was not good. He said, look, we couldn't be back 162 00:10:35,240 --> 00:10:39,640 Speaker 1: there any longer without letting you know what happened. Um 163 00:10:39,720 --> 00:10:41,360 Speaker 1: when he opened her up, there was a lot of 164 00:10:41,400 --> 00:10:48,280 Speaker 1: blood and she coded. And then they go on to 165 00:10:48,320 --> 00:10:54,320 Speaker 1: tell me situation is critical and they're continuing to work 166 00:10:54,360 --> 00:11:01,960 Speaker 1: on her. And at that point, it's you know, Cure's energy, 167 00:11:02,000 --> 00:11:04,040 Speaker 1: the way I am, the way we are. I was 168 00:11:04,080 --> 00:11:06,120 Speaker 1: just I'm just I'm just an optimist. When you told 169 00:11:06,160 --> 00:11:08,480 Speaker 1: me that you're continuing to work on her in her 170 00:11:08,520 --> 00:11:10,600 Speaker 1: situation is critical, that's all I needed to hear, because 171 00:11:10,600 --> 00:11:13,480 Speaker 1: I'm thinking, it's Kira. She's the closest thing that I've 172 00:11:13,520 --> 00:11:16,560 Speaker 1: ever met to a superhero. She's gonna be okay. Right, 173 00:11:16,920 --> 00:11:18,920 Speaker 1: we had to scare but she's gonna be okay, is 174 00:11:18,920 --> 00:11:22,040 Speaker 1: what I was thinking at that point. And I probably 175 00:11:22,080 --> 00:11:23,720 Speaker 1: told him I said, look, thank you for coming out 176 00:11:23,760 --> 00:11:27,080 Speaker 1: and telling me, but you're not doing anything for me 177 00:11:27,120 --> 00:11:28,800 Speaker 1: by being out here. I need you to get back 178 00:11:28,800 --> 00:11:33,080 Speaker 1: in there and bring me my wife back. Minutes later, 179 00:11:33,640 --> 00:11:38,720 Speaker 1: surrounded by Kira's loved ones, Charles gets the unimaginable news. 180 00:11:39,360 --> 00:11:44,280 Speaker 1: They told me that um she had passed and there 181 00:11:44,320 --> 00:11:48,720 Speaker 1: was nothing else that they could do to Saber. Literally 182 00:11:48,960 --> 00:11:51,599 Speaker 1: twelve hours earlier, we walked into this hospital with a 183 00:11:51,640 --> 00:11:53,480 Speaker 1: woman that not only was in good health, it was 184 00:11:53,480 --> 00:11:59,400 Speaker 1: an exceptional health. And what you're telling me, it's not computing. 185 00:11:59,440 --> 00:12:03,480 Speaker 1: This doesn't make sense. How can this happen? What did 186 00:12:03,559 --> 00:12:07,360 Speaker 1: happen is that Kira's bladder was nicked during her C section, 187 00:12:07,840 --> 00:12:11,760 Speaker 1: and for nearly ten hours from incision to returning to 188 00:12:11,840 --> 00:12:15,400 Speaker 1: the o R, Kira bled to death. When they opened 189 00:12:15,400 --> 00:12:17,800 Speaker 1: her up, they found three and a half liters of 190 00:12:17,840 --> 00:12:21,480 Speaker 1: blood in her abdomen and her heart had given out. 191 00:12:22,240 --> 00:12:23,920 Speaker 1: That was the last time I saw my wife. A laar, 192 00:12:27,320 --> 00:12:44,360 Speaker 1: We'll be right back. On April two thousand sixteen, Kira 193 00:12:44,440 --> 00:12:48,200 Speaker 1: Johnson became one of the approximately nine women who die 194 00:12:48,400 --> 00:12:53,840 Speaker 1: every year from pregnancy and childbirth related causes. To understand 195 00:12:53,840 --> 00:12:56,000 Speaker 1: how we got to Kira, we have to go back 196 00:12:56,000 --> 00:12:59,400 Speaker 1: to the nineteen eighties. For much of the twentieth century, 197 00:12:59,760 --> 00:13:04,600 Speaker 1: the US enjoyed decades of essentially an uninterrupted decline in 198 00:13:04,679 --> 00:13:08,520 Speaker 1: its maternal mortality rate, but then in the nineteen eighties, 199 00:13:08,840 --> 00:13:12,400 Speaker 1: that rate started to tick back up. We thought maternal 200 00:13:12,440 --> 00:13:18,160 Speaker 1: mortality was essentially solved, as we could um make improvements, 201 00:13:18,400 --> 00:13:21,320 Speaker 1: we could bring down by a few deaths. But I 202 00:13:21,360 --> 00:13:25,960 Speaker 1: had no idea that actually deaths were increasing. That's Dr 203 00:13:26,080 --> 00:13:29,760 Speaker 1: Deborah Bingham, founder and executive director for the Institute for 204 00:13:29,920 --> 00:13:34,960 Speaker 1: Parnatal Quality Improvement and associate professor at the University of Maryland. 205 00:13:35,440 --> 00:13:39,840 Speaker 1: Deborah has also been working as a pernatal nurse, bedside 206 00:13:39,960 --> 00:13:44,240 Speaker 1: and administration, and in public health since nineteen seventy eight. 207 00:13:44,840 --> 00:13:47,600 Speaker 1: By the two thousand's, she was the director of nursing 208 00:13:47,720 --> 00:13:51,520 Speaker 1: for two hospitals in New York City. We only had 209 00:13:51,559 --> 00:13:54,880 Speaker 1: one death in like a five year period, so we 210 00:13:55,000 --> 00:13:57,679 Speaker 1: I didn't have any data to tell me Otherwise, I 211 00:13:57,760 --> 00:14:01,319 Speaker 1: had no personal experiences to say this is a problem. 212 00:14:01,360 --> 00:14:04,800 Speaker 1: I didn't think this was a crisis, but Deborah soon 213 00:14:04,920 --> 00:14:08,520 Speaker 1: found out it was in two thousand and six. She 214 00:14:08,720 --> 00:14:11,679 Speaker 1: was working on her doctorate when she accepted a position 215 00:14:11,679 --> 00:14:16,280 Speaker 1: in California to form the state's first Maternal Quality Care Collaborative, 216 00:14:16,720 --> 00:14:20,480 Speaker 1: an initiative to improve maternal outcomes. During the fall of 217 00:14:20,520 --> 00:14:23,280 Speaker 1: two thousand and six, she was pulled into a private 218 00:14:23,360 --> 00:14:27,040 Speaker 1: meeting with leaders from the California Department of Health. In 219 00:14:27,080 --> 00:14:33,200 Speaker 1: this private meeting, we we were shown, um that rates 220 00:14:33,200 --> 00:14:38,520 Speaker 1: of maternal death had been rising in California, and they 221 00:14:38,560 --> 00:14:42,480 Speaker 1: didn't know why, nor did we. It was shocking. We 222 00:14:42,560 --> 00:14:46,440 Speaker 1: knew our rates um even in the nineties were still 223 00:14:46,600 --> 00:14:51,680 Speaker 1: higher than other countries, so we not significantly higher, but 224 00:14:52,440 --> 00:14:56,480 Speaker 1: slightly higher than other developed countries. So UM, I should 225 00:14:56,480 --> 00:15:00,440 Speaker 1: say I knew that. I knew that our rates of 226 00:15:01,000 --> 00:15:04,440 Speaker 1: maternal deaths in the United States were a little higher 227 00:15:04,480 --> 00:15:08,440 Speaker 1: than other developed countries. So to even have any increase 228 00:15:08,680 --> 00:15:12,520 Speaker 1: was just is very shocking. I thought we were getting better, 229 00:15:12,640 --> 00:15:16,000 Speaker 1: not worse. And I still remember the room I was 230 00:15:16,080 --> 00:15:19,520 Speaker 1: in and how that felt to just like, oh my gosh, 231 00:15:19,720 --> 00:15:22,480 Speaker 1: what is going on? And is l And I didn't 232 00:15:22,520 --> 00:15:24,520 Speaker 1: know at that time whether that was just unique to 233 00:15:24,560 --> 00:15:29,400 Speaker 1: California or was that issue for the entire country. The 234 00:15:29,560 --> 00:15:33,400 Speaker 1: issue was not unique to California. It was a national 235 00:15:33,440 --> 00:15:37,400 Speaker 1: trend that would only continue to rise. In n seven, 236 00:15:37,600 --> 00:15:41,360 Speaker 1: the maternal mortality rate was seven point two, meaning for 237 00:15:41,440 --> 00:15:46,600 Speaker 1: every one hundred thousand live births, about seven women died. Today, 238 00:15:46,640 --> 00:15:50,000 Speaker 1: that rate has more than doubled to seventeen point four. 239 00:15:50,680 --> 00:15:53,640 Speaker 1: Now to really understand why more mothers are dying today 240 00:15:53,680 --> 00:15:56,520 Speaker 1: than they were thirty years ago. Debra says, you have 241 00:15:56,600 --> 00:16:00,160 Speaker 1: to look at what's changed in the medical industry. You 242 00:16:00,200 --> 00:16:03,480 Speaker 1: can't ignore the fact that we've had a sixty nearly 243 00:16:03,520 --> 00:16:08,640 Speaker 1: a six increase in cesarean birth. Now about one third 244 00:16:08,680 --> 00:16:12,880 Speaker 1: of all women give birth surgically. And then there's fewer 245 00:16:12,920 --> 00:16:17,080 Speaker 1: women having vaginal births after cesarean and so there's more 246 00:16:17,120 --> 00:16:21,000 Speaker 1: repeat c sections, which add more risks to have the 247 00:16:21,120 --> 00:16:24,320 Speaker 1: same scar open multiple times, leads to all kinds of 248 00:16:24,320 --> 00:16:28,440 Speaker 1: potential complications. Another thing that has changed over the last 249 00:16:28,480 --> 00:16:33,000 Speaker 1: thirty years, more women are being admitted earlier in labor 250 00:16:33,160 --> 00:16:35,920 Speaker 1: and what that means that that in the United States, 251 00:16:35,920 --> 00:16:38,440 Speaker 1: we don't have a lot of hospitals, don't have like 252 00:16:38,560 --> 00:16:41,680 Speaker 1: labor lounges or places where women can keep moving around, 253 00:16:41,720 --> 00:16:44,760 Speaker 1: so they're often put in bad and um don't have 254 00:16:44,840 --> 00:16:48,240 Speaker 1: freedom of movement in the early stages of labor, where 255 00:16:48,240 --> 00:16:51,560 Speaker 1: in the past we used to help women UM have 256 00:16:51,760 --> 00:16:56,160 Speaker 1: confidence go home, walk around at home, UM and come 257 00:16:56,200 --> 00:16:59,720 Speaker 1: back several hours later or maybe even their labor would stop, 258 00:17:00,120 --> 00:17:02,920 Speaker 1: which now they're being admitted, and once they're admitted, then 259 00:17:03,000 --> 00:17:06,359 Speaker 1: all this whole what's called a cascade of interventions happen, 260 00:17:06,440 --> 00:17:10,399 Speaker 1: which then lead them down a path that could have 261 00:17:10,440 --> 00:17:13,840 Speaker 1: been avoided previously. You can think of it as a 262 00:17:13,920 --> 00:17:17,440 Speaker 1: path of interventions that could start with something like medication 263 00:17:17,520 --> 00:17:21,640 Speaker 1: to induce labor and then end with an emergency c section. 264 00:17:22,280 --> 00:17:27,119 Speaker 1: Interventions aren't necessarily dangerous, but each one has the potential 265 00:17:27,440 --> 00:17:31,320 Speaker 1: to at least introduce risk to the mother. I am 266 00:17:31,400 --> 00:17:35,440 Speaker 1: a high risk perinatal nurse, meaning that I take care 267 00:17:35,480 --> 00:17:38,400 Speaker 1: of Over many years, I've taken care of very, very 268 00:17:38,440 --> 00:17:42,439 Speaker 1: sick women with very serious medical conditions, So I'm not 269 00:17:42,600 --> 00:17:48,959 Speaker 1: opposed in any way to using induction agents or interventions 270 00:17:49,000 --> 00:17:53,359 Speaker 1: medical interventions. I personally have helped intervene in many ways 271 00:17:53,600 --> 00:17:57,119 Speaker 1: when needed, but as I've learned, we should not intervene 272 00:17:57,440 --> 00:18:00,520 Speaker 1: for the heck of it. Devor says, there's one final 273 00:18:00,600 --> 00:18:03,919 Speaker 1: element that's worth noting here. When we're talking about this 274 00:18:04,080 --> 00:18:08,359 Speaker 1: increase in the maternal mortality rate over the last thirty years, 275 00:18:08,720 --> 00:18:11,480 Speaker 1: we started counting better, So we need to acknowledge that 276 00:18:11,920 --> 00:18:15,119 Speaker 1: some of this increases due to better counting, which is 277 00:18:15,160 --> 00:18:18,680 Speaker 1: a good thing because every death deserves to be counted 278 00:18:19,240 --> 00:18:21,960 Speaker 1: and needs to be counted. So we can learn from 279 00:18:22,160 --> 00:18:24,960 Speaker 1: all all of the deaths. It's a way to honor 280 00:18:25,000 --> 00:18:27,080 Speaker 1: the women who died. It's a way to honor the 281 00:18:27,160 --> 00:18:31,359 Speaker 1: teams who tried to save their lives. But changes in 282 00:18:31,359 --> 00:18:34,560 Speaker 1: the medical system still don't give us the full picture. 283 00:18:35,000 --> 00:18:39,520 Speaker 1: There are other forces, major structural issues that caused between 284 00:18:39,600 --> 00:18:43,200 Speaker 1: seven hundred and nine hundred women to die every year. 285 00:18:43,960 --> 00:18:51,359 Speaker 1: A really major problem and cause is the focus on 286 00:18:52,280 --> 00:18:57,600 Speaker 1: babies and fetuses rather than mothers. It's a problem that's 287 00:18:57,640 --> 00:19:02,080 Speaker 1: been developing over five decades. Nina Martin is an investigative 288 00:19:02,080 --> 00:19:05,560 Speaker 1: reporter at pro Publica. She spent her career reporting on 289 00:19:05,640 --> 00:19:09,280 Speaker 1: women's health. In two thousand and seventeen, Nina, along with 290 00:19:09,320 --> 00:19:12,520 Speaker 1: the team at pro Publica and her partners at NPR, 291 00:19:13,000 --> 00:19:17,240 Speaker 1: released a massive investigative report on the maternal mortality crisis. 292 00:19:17,600 --> 00:19:21,040 Speaker 1: It was called the Lost Mother's Project, and it would 293 00:19:21,040 --> 00:19:24,400 Speaker 1: go on to win a Peabody Award. Women used to die, 294 00:19:24,840 --> 00:19:27,480 Speaker 1: you know, hundreds of thousands of women used to die 295 00:19:28,080 --> 00:19:30,960 Speaker 1: probably a year in the turn of the twentieth century 296 00:19:31,680 --> 00:19:38,120 Speaker 1: um from pregnancy and childbirth complications. And there was enormous 297 00:19:38,200 --> 00:19:42,760 Speaker 1: progress over many, many decades to to bring those numbers 298 00:19:42,800 --> 00:19:47,480 Speaker 1: down and then UM. Somewhere around the fifties and the 299 00:19:47,560 --> 00:19:51,080 Speaker 1: sixties UM the numbers got to be good enough where 300 00:19:51,760 --> 00:19:54,600 Speaker 1: people started taking the eye off there there, you know, 301 00:19:54,680 --> 00:20:00,560 Speaker 1: started really thinking about it differently. Before the nineteen sixties, 302 00:20:00,560 --> 00:20:04,880 Speaker 1: the fetus was essentially inaccessible to doctors. They literally couldn't 303 00:20:04,880 --> 00:20:07,800 Speaker 1: examine it, so care had to focus on the mother. 304 00:20:08,520 --> 00:20:13,400 Speaker 1: But then technological advancements and new techniques like testing amniotic 305 00:20:13,480 --> 00:20:17,520 Speaker 1: fluid and sonogram imaging made it possible for doctors to 306 00:20:17,600 --> 00:20:22,280 Speaker 1: monitor the fetus in utero. With the fetus now a patient, 307 00:20:22,760 --> 00:20:25,600 Speaker 1: the next few decades saw a pronounced shift of care 308 00:20:25,720 --> 00:20:30,040 Speaker 1: and attention away from the mother. Today, Nina Martin says, 309 00:20:30,359 --> 00:20:33,920 Speaker 1: it's clear where the priorities are. You know, think about 310 00:20:33,960 --> 00:20:37,400 Speaker 1: smoking and and and sort of some of the messaging 311 00:20:37,440 --> 00:20:40,399 Speaker 1: around smoking during pregnancy. It's not about the fact that 312 00:20:40,440 --> 00:20:42,960 Speaker 1: smoking is really bad for moms. It's about smoking for 313 00:20:43,040 --> 00:20:46,520 Speaker 1: the babies. Think about when you're giving birth. You go 314 00:20:46,800 --> 00:20:49,320 Speaker 1: in and you get hooked up to monitors and everything, 315 00:20:49,480 --> 00:20:53,000 Speaker 1: and the monitor is mostly there to check the fetal 316 00:20:53,040 --> 00:20:55,680 Speaker 1: heart rate and to make sure that the baby signs 317 00:20:55,720 --> 00:20:58,320 Speaker 1: are okay. And if the baby signs aren't okay, then 318 00:20:58,480 --> 00:21:00,679 Speaker 1: it's you know, rush, rush, rush in to get the 319 00:21:00,680 --> 00:21:06,320 Speaker 1: C section. Mom signs are monitored at a much lesser rate, 320 00:21:07,000 --> 00:21:09,760 Speaker 1: So much of the attention in the maternity ward after 321 00:21:10,000 --> 00:21:13,679 Speaker 1: mom gives birth is around feeding the baby, taking care 322 00:21:13,720 --> 00:21:15,239 Speaker 1: of the baby. What do you do? Do you know, 323 00:21:15,320 --> 00:21:18,879 Speaker 1: how are you to have the car seat? You know, 324 00:21:19,040 --> 00:21:20,840 Speaker 1: all of that. It's not about well, who's going to 325 00:21:20,920 --> 00:21:22,800 Speaker 1: take care of you when you go home? And do 326 00:21:22,840 --> 00:21:25,800 Speaker 1: you know warning signs and everything. We just kind of 327 00:21:25,880 --> 00:21:28,560 Speaker 1: kick her home with the baby and don't pay any 328 00:21:28,560 --> 00:21:31,679 Speaker 1: attention to her. I mean, it's just really shocking. But 329 00:21:31,800 --> 00:21:36,480 Speaker 1: there's still another structural issue putting so many American mothers 330 00:21:36,520 --> 00:21:49,960 Speaker 1: at risk. Will explore that right after this. When Kia 331 00:21:50,080 --> 00:21:54,000 Speaker 1: Johnson died in April of two thousand sixteen, the cause 332 00:21:54,040 --> 00:21:58,359 Speaker 1: of death would be listed as hemorrhage shock. But the 333 00:21:58,400 --> 00:22:03,199 Speaker 1: truth is much more complicated. What happened to Cira was 334 00:22:03,240 --> 00:22:07,000 Speaker 1: not just a medical tragedy, was a medical catastrophe. Everything 335 00:22:07,040 --> 00:22:10,399 Speaker 1: that could have went wrong, in fact did so. Not 336 00:22:10,480 --> 00:22:13,720 Speaker 1: only did that doctor failed Kira, but the hospital and 337 00:22:13,760 --> 00:22:18,080 Speaker 1: their policies and procedures failed her. Let's talk about the 338 00:22:18,359 --> 00:22:22,639 Speaker 1: role race might have played. Do you believe that it 339 00:22:22,760 --> 00:22:26,440 Speaker 1: did do you believe that you were you and Kira 340 00:22:26,560 --> 00:22:32,479 Speaker 1: were dismissed or not treated seriously because of because of 341 00:22:32,480 --> 00:22:38,639 Speaker 1: your skin color. Absolutely, and the reality of the situation 342 00:22:38,720 --> 00:22:42,720 Speaker 1: is this is that what is clear about what happened 343 00:22:43,320 --> 00:22:47,000 Speaker 1: on April twelve of two thousand and sixteen Seater Sina 344 00:22:47,240 --> 00:22:53,400 Speaker 1: is that the staff and the doctors and the nurses 345 00:22:53,440 --> 00:22:57,120 Speaker 1: that were responsible for Cura's life failed to seek Kira 346 00:22:57,280 --> 00:23:00,399 Speaker 1: in the same way that they would see their daughter, 347 00:23:01,040 --> 00:23:04,919 Speaker 1: or their mother or their wives. I thought that what 348 00:23:05,040 --> 00:23:07,720 Speaker 1: happened to here was an isolated incident. I thought that 349 00:23:08,320 --> 00:23:11,040 Speaker 1: a woman who is an exceptional health who has access 350 00:23:11,080 --> 00:23:13,480 Speaker 1: to care, who does all the things right, walking into 351 00:23:13,480 --> 00:23:16,480 Speaker 1: a hospital like Cedar Sinai in exceptional health and not 352 00:23:16,640 --> 00:23:19,280 Speaker 1: walking out to raise her boys, I thought that it 353 00:23:19,359 --> 00:23:21,160 Speaker 1: was an anomal I thought, this is something that doesn't 354 00:23:21,200 --> 00:23:26,720 Speaker 1: happen in two thousand and sixteen in our country. But 355 00:23:26,840 --> 00:23:29,959 Speaker 1: it does happen. And of that nine hundred or so 356 00:23:30,080 --> 00:23:34,560 Speaker 1: women who die every year, the vast majority are black. 357 00:23:35,119 --> 00:23:38,600 Speaker 1: Black women are more likely to die during pregnancy, three 358 00:23:38,640 --> 00:23:41,199 Speaker 1: to four times more likely to die during pregnancy than 359 00:23:41,200 --> 00:23:45,639 Speaker 1: white women. Monica Rose McLamore is an associate professor at 360 00:23:45,680 --> 00:23:49,720 Speaker 1: the University of California, San Francisco. She has dedicated her 361 00:23:49,880 --> 00:23:53,919 Speaker 1: entire career to reproductive health and justice. So when you 362 00:23:53,960 --> 00:23:57,320 Speaker 1: think about that, that group of between seven hundred and 363 00:23:57,480 --> 00:24:00,960 Speaker 1: nine hundred, you know, maternal deaths in the United States, 364 00:24:01,640 --> 00:24:05,560 Speaker 1: you can argue that you know, three hundred of them 365 00:24:05,560 --> 00:24:09,680 Speaker 1: potentially could be black and brown women, and so that 366 00:24:09,800 --> 00:24:14,880 Speaker 1: disparity or that difference is actually huge. And that's when 367 00:24:14,920 --> 00:24:21,560 Speaker 1: you control for education, income status, um, insurance type, place 368 00:24:21,640 --> 00:24:26,040 Speaker 1: of care, that risk is equally shared by Black women. Regardless. 369 00:24:28,040 --> 00:24:31,280 Speaker 1: If you ask Monica what's causing such a disparity, what's 370 00:24:31,359 --> 00:24:35,000 Speaker 1: killing so many Black women like Kia Johnson, he agrees 371 00:24:35,080 --> 00:24:40,720 Speaker 1: with Charles it's racism, pure and simple. The truth of 372 00:24:40,760 --> 00:24:44,680 Speaker 1: the matter is is that you know, black death during pregnancy, 373 00:24:44,920 --> 00:24:47,800 Speaker 1: in my opinion, is a canary in a coal mine. 374 00:24:47,880 --> 00:24:50,800 Speaker 1: It tells us where our priorities are. It tells us. 375 00:24:51,040 --> 00:24:54,399 Speaker 1: You know that that again, you know, we don't listen 376 00:24:54,440 --> 00:24:57,440 Speaker 1: to and or believe black women, whether it's about pain 377 00:24:57,720 --> 00:25:01,840 Speaker 1: or whether it's about pregnancy related symptoms, contractions, whatever. We 378 00:25:01,840 --> 00:25:05,000 Speaker 1: we don't value black women. It's because our lives aren't 379 00:25:05,000 --> 00:25:07,800 Speaker 1: worth saving to some people. And so you know, to 380 00:25:07,920 --> 00:25:10,160 Speaker 1: say that as a black woman is a really hard thing. 381 00:25:10,200 --> 00:25:12,359 Speaker 1: But that that's what my gut tells me, That's what 382 00:25:12,440 --> 00:25:15,520 Speaker 1: my lived experience tells me. Every time I use the 383 00:25:15,560 --> 00:25:19,520 Speaker 1: word racism, people always go to the you know, interpersonal level. 384 00:25:19,600 --> 00:25:22,040 Speaker 1: I am calling you a bad person in there for 385 00:25:22,119 --> 00:25:24,560 Speaker 1: your racist That's not what I'm talking about. I actually 386 00:25:24,640 --> 00:25:28,200 Speaker 1: think most people actually inherently are trying to do as 387 00:25:28,240 --> 00:25:30,520 Speaker 1: well as they can do with what they have, and 388 00:25:30,560 --> 00:25:33,199 Speaker 1: when you know better, you should do better. But the 389 00:25:33,240 --> 00:25:35,920 Speaker 1: truth of the matter is, structural racism is a different 390 00:25:36,359 --> 00:25:41,600 Speaker 1: beast altogether, um because it's really about institutions, policies, and 391 00:25:41,760 --> 00:25:47,200 Speaker 1: structures that actually privilege one group over another based on 392 00:25:47,640 --> 00:25:52,680 Speaker 1: race or ethnicity. We know that there is an overrepresentation 393 00:25:52,800 --> 00:25:55,400 Speaker 1: of of of black people in poverty, and again that's 394 00:25:55,440 --> 00:25:58,199 Speaker 1: a structural racism problem. When you think back to things 395 00:25:58,320 --> 00:26:01,520 Speaker 1: like you know, red Line, where you know people were 396 00:26:01,520 --> 00:26:04,399 Speaker 1: denied mortgages or given high risk mortgages, like it is 397 00:26:04,400 --> 00:26:10,200 Speaker 1: a structural reason why Black people are overrepresented in being poor. 398 00:26:11,200 --> 00:26:13,000 Speaker 1: I think it also shows up in terms of the 399 00:26:13,080 --> 00:26:18,360 Speaker 1: differential treatment that people receive based on insurance status. Why 400 00:26:18,359 --> 00:26:21,640 Speaker 1: are we giving people different care? You know when clinical 401 00:26:21,680 --> 00:26:26,680 Speaker 1: guidelines are standard based on who's paying for it back 402 00:26:26,720 --> 00:26:31,240 Speaker 1: in hospitals. Systematic racism also shows up in the actual 403 00:26:31,359 --> 00:26:35,800 Speaker 1: makeup of who is overwhelmingly caring for black mothers. We 404 00:26:35,880 --> 00:26:38,640 Speaker 1: have not had enough courage and diversifying our health care workforce. 405 00:26:38,720 --> 00:26:41,199 Speaker 1: The fact that you know, I believe one percent of 406 00:26:41,200 --> 00:26:45,159 Speaker 1: physicians in the United States are are Black Americans, and 407 00:26:45,240 --> 00:26:48,640 Speaker 1: I don't think nursing is much better. UM, we need 408 00:26:48,680 --> 00:26:52,160 Speaker 1: to diversify our healthcare workforce. A structural problem is if 409 00:26:52,200 --> 00:26:55,800 Speaker 1: we don't believe that people of color and black people 410 00:26:55,840 --> 00:26:59,000 Speaker 1: in particular have the aptitude or capacity to be able 411 00:26:59,040 --> 00:27:01,439 Speaker 1: to care for communities that we come from, live and 412 00:27:01,440 --> 00:27:03,879 Speaker 1: work and serve UM. I think that's just like a 413 00:27:04,000 --> 00:27:07,680 Speaker 1: really really racist thing to think. At both the individual 414 00:27:07,760 --> 00:27:10,720 Speaker 1: level and at a structural level. We can see the 415 00:27:10,760 --> 00:27:14,240 Speaker 1: effects of institutional racism play out right now with the 416 00:27:14,280 --> 00:27:19,800 Speaker 1: coronavirus pandemic. While anyone can get COVID nineteen, racial data 417 00:27:20,080 --> 00:27:23,600 Speaker 1: shows that more Black Americans are contracting and dying from 418 00:27:23,640 --> 00:27:28,119 Speaker 1: COVID than whites. One analysis showed that in Chicago, black 419 00:27:28,160 --> 00:27:31,880 Speaker 1: residents so far make up of the deaths there, get 420 00:27:31,920 --> 00:27:35,960 Speaker 1: the account for only nine percent of the city's population. 421 00:27:36,680 --> 00:27:39,840 Speaker 1: In New York City, the epicenter of the pandemic. COVID 422 00:27:39,920 --> 00:27:42,919 Speaker 1: is hitting black and brown neighborhoods the hardest, like in 423 00:27:43,000 --> 00:27:47,560 Speaker 1: Jackson Heights, Queens, which is the most ethically diverse neighborhood 424 00:27:47,560 --> 00:27:50,800 Speaker 1: in the country. It's a very underserved community and the 425 00:27:50,840 --> 00:27:53,239 Speaker 1: community right now is being hit very, very hard by 426 00:27:53,240 --> 00:27:57,159 Speaker 1: the COVID epidemic. You may recognize Dr Tracy bone Hemmerdinger 427 00:27:57,240 --> 00:28:01,119 Speaker 1: from last week's episode. She's the chief of Obstetrics at 428 00:28:01,200 --> 00:28:04,560 Speaker 1: the Elmhurst Hospital Center. The population that we generally see 429 00:28:04,560 --> 00:28:08,800 Speaker 1: at Elmhurst is mixed community of new immigrants. We see 430 00:28:08,800 --> 00:28:13,119 Speaker 1: all different ethnic backgrounds. The number one language spoken is Spanish, 431 00:28:13,160 --> 00:28:16,560 Speaker 1: followed I think very closely by Bengali. And I think 432 00:28:16,600 --> 00:28:18,440 Speaker 1: that a lot of the patients that we see fall 433 00:28:18,480 --> 00:28:22,680 Speaker 1: into the category of people who can't social distance because 434 00:28:22,680 --> 00:28:24,920 Speaker 1: they live with large numbers of people in their homes, 435 00:28:25,200 --> 00:28:27,760 Speaker 1: people who are responsible for caring for not only many children, 436 00:28:27,800 --> 00:28:31,040 Speaker 1: but also their parents and their extended family uh and 437 00:28:31,040 --> 00:28:35,239 Speaker 1: and people whose jobs are either domestic workers or you know, 438 00:28:35,440 --> 00:28:38,240 Speaker 1: people whose jobs and livelihood may be cut off completely 439 00:28:38,280 --> 00:28:42,280 Speaker 1: and not have any access to their regular daily needs, 440 00:28:42,520 --> 00:28:44,440 Speaker 1: and so I think that that puts them at significant 441 00:28:44,520 --> 00:28:49,000 Speaker 1: risk for any illness. Before COVID nineteen hit, Elmer's was 442 00:28:49,080 --> 00:28:53,400 Speaker 1: running programs in partnership with the Maternal Hospital Quality Improvement Network, 443 00:28:53,800 --> 00:28:57,120 Speaker 1: a part of a citywide plan to reduce maternal deaths 444 00:28:57,160 --> 00:29:01,800 Speaker 1: and life threatening complications among women of color. There are 445 00:29:01,800 --> 00:29:05,920 Speaker 1: other initiatives as well. In California, for example, a bill 446 00:29:06,000 --> 00:29:10,160 Speaker 1: that passed last year requires implicit bias training for all 447 00:29:10,240 --> 00:29:14,720 Speaker 1: healthcare workers. But Monica Macklemore says, it's just to start 448 00:29:15,080 --> 00:29:19,240 Speaker 1: to really address something so widespread, prevalent, and daunting as 449 00:29:19,320 --> 00:29:23,120 Speaker 1: institutional racism, you have to begin by making things better 450 00:29:23,560 --> 00:29:26,360 Speaker 1: for those who have it the worst. If you're centering 451 00:29:26,400 --> 00:29:29,560 Speaker 1: the people who are most vulnerable, everybody's care should actually 452 00:29:29,600 --> 00:29:34,400 Speaker 1: get better because then those innovations should be translated for everybody. 453 00:29:34,880 --> 00:29:36,600 Speaker 1: But a lot of people don't believe that that if 454 00:29:36,640 --> 00:29:39,960 Speaker 1: you center to people who are experiencing the greatest amount 455 00:29:40,000 --> 00:29:43,560 Speaker 1: of burden, they think they're losing something. And I'm like, no, 456 00:29:43,840 --> 00:29:47,360 Speaker 1: you don't understand. If we are really really like making 457 00:29:47,360 --> 00:29:50,120 Speaker 1: things better for the people who have it worse, everybody 458 00:29:50,160 --> 00:29:54,280 Speaker 1: should should actually experience an improvement in their care in 459 00:29:54,400 --> 00:29:57,800 Speaker 1: industrialized nations. Our maternal death rate is one of the 460 00:29:58,160 --> 00:30:03,280 Speaker 1: highest for income countries. We can do better. It doesn't 461 00:30:03,280 --> 00:30:12,560 Speaker 1: have to be like this. Tomorrow on a special episode 462 00:30:12,560 --> 00:30:15,920 Speaker 1: of Next Question, Part two of our look at America's 463 00:30:16,040 --> 00:30:19,640 Speaker 1: maternal mortality crisis. Don't worry your little head about it, 464 00:30:19,640 --> 00:30:21,920 Speaker 1: because you're fine now in your baby spine, and go 465 00:30:22,040 --> 00:30:25,680 Speaker 1: home and live your life and be happy that everything's okay. 466 00:30:25,720 --> 00:30:30,840 Speaker 1: And so her experience was completely erased. Why maternal deaths 467 00:30:30,960 --> 00:30:35,400 Speaker 1: are only the tip of the iceberg being a professional athlete, 468 00:30:35,440 --> 00:30:38,480 Speaker 1: I just thought that will never happen to me. An 469 00:30:38,480 --> 00:30:43,040 Speaker 1: intimate conversation with Olympian Alison Felix and the courageous people 470 00:30:43,080 --> 00:30:47,000 Speaker 1: who are working to save American mothers. That's tomorrow on 471 00:30:47,160 --> 00:30:54,600 Speaker 1: Next Question. To understand how the coronavirus is affecting pregnant women, 472 00:30:54,880 --> 00:30:58,000 Speaker 1: check out last week's episode called how Do You have 473 00:30:58,040 --> 00:31:01,520 Speaker 1: a Baby during a Pandemic? On Apple podcast, the I 474 00:31:01,640 --> 00:31:05,080 Speaker 1: Heart Radio app or wherever you listen to your podcasts. 475 00:31:12,600 --> 00:31:14,880 Speaker 1: Next Question with Katie Couric is a production of I 476 00:31:15,000 --> 00:31:18,440 Speaker 1: Heart Radio and Katie Curreic Media. The executive producers are 477 00:31:18,520 --> 00:31:22,280 Speaker 1: Katie Currik, Courtney Litz, and Tyler Klang. The supervising producer 478 00:31:22,320 --> 00:31:26,920 Speaker 1: is Lauren Hansen. Our show producer is Bethan Macaluso. The 479 00:31:26,960 --> 00:31:31,120 Speaker 1: associate producers are Emily Pinto and Derek Clements. Editing by 480 00:31:31,160 --> 00:31:36,200 Speaker 1: Derrek Clements, Dylan Fagan and Lowell Berlante, Mixing by Dylan Fagan. 481 00:31:36,760 --> 00:31:41,360 Speaker 1: Our researcher is Gabriel Loser. For more information on today's episode, 482 00:31:41,480 --> 00:31:44,000 Speaker 1: go to Katie Currek dot com and follow us on 483 00:31:44,040 --> 00:31:51,920 Speaker 1: Twitter and Instagram at Katie Couric. For more podcasts for 484 00:31:52,000 --> 00:31:55,120 Speaker 1: my heart Radio, visit the I heart Radio app, Apple podcast, 485 00:31:55,280 --> 00:31:57,320 Speaker 1: or wherever you listen to your favorite shows,