1 00:00:05,240 --> 00:00:07,480 Speaker 1: Hey, this is Anny and Samantha and welcome to stuff. 2 00:00:07,480 --> 00:00:18,960 Speaker 1: One never told you a production of iHeartRadio, and today 3 00:00:18,960 --> 00:00:22,079 Speaker 1: we're talking about kind of a current ish. I guess 4 00:00:22,079 --> 00:00:24,119 Speaker 1: we're a little behind. Study that made a lot of 5 00:00:24,120 --> 00:00:28,720 Speaker 1: waves and it's involved around women in health. So see 6 00:00:28,720 --> 00:00:31,760 Speaker 1: our past episodes we've done around that. We've done several 7 00:00:31,800 --> 00:00:36,960 Speaker 1: things about women as patients as workers in the health industry, 8 00:00:37,840 --> 00:00:43,120 Speaker 1: so definitely go seek those out. But yes, you've probably heard. Recently, 9 00:00:43,240 --> 00:00:45,199 Speaker 1: a new study out of Harvard made a lot of 10 00:00:45,240 --> 00:00:48,479 Speaker 1: waves when it found that patients of all genders a 11 00:00:48,600 --> 00:00:53,400 Speaker 1: better health outcomes when treated by women doctors. These patients 12 00:00:53,400 --> 00:00:57,240 Speaker 1: were more likely to survive and less likely to be rehospitalized. 13 00:00:58,240 --> 00:01:01,160 Speaker 1: The study built on paths studies that found that women 14 00:01:01,200 --> 00:01:04,040 Speaker 1: doctors are more likely to invest and suggest in preventive 15 00:01:04,120 --> 00:01:06,959 Speaker 1: care and counseling, and more likely when it came to 16 00:01:07,600 --> 00:01:10,480 Speaker 1: uterus having patients to request for things like mammograms and 17 00:01:10,480 --> 00:01:14,640 Speaker 1: pap smears. There was a similar study in Canada that 18 00:01:14,680 --> 00:01:18,000 Speaker 1: was also pretty recent that produced similar results, so this 19 00:01:18,040 --> 00:01:21,160 Speaker 1: is not really a new thing to specify, though the 20 00:01:21,200 --> 00:01:27,679 Speaker 1: study was specifically focused on elderly hospitalized patients. From Medical 21 00:01:27,720 --> 00:01:32,720 Speaker 1: News today Sugawa, which is one of the head The 22 00:01:32,760 --> 00:01:36,200 Speaker 1: heads of the study and his colleagues examined data from 23 00:01:36,240 --> 00:01:40,040 Speaker 1: Medicare claims made between twenty sixteen to twenty nineteen. The 24 00:01:40,160 --> 00:01:42,880 Speaker 1: data included more than four hundred and fifty eight thousand, 25 00:01:42,959 --> 00:01:45,840 Speaker 1: one hundred female patients and more than three hundred and 26 00:01:45,840 --> 00:01:49,680 Speaker 1: eighteen thousand, eight hundred male patients. Roughly thirty one percent 27 00:01:49,720 --> 00:01:52,080 Speaker 1: of both the male and female patient groups were treated 28 00:01:52,320 --> 00:01:55,960 Speaker 1: by a female doctor. The researchers reported that the mortality 29 00:01:56,040 --> 00:01:58,520 Speaker 1: rate for the female patients when they were treated by 30 00:01:58,560 --> 00:02:02,160 Speaker 1: a female doctor was eight point one five percent compared 31 00:02:02,200 --> 00:02:05,320 Speaker 1: with eight point three eight percent when treated by a 32 00:02:05,320 --> 00:02:11,320 Speaker 1: male physician. The researchers regardless as clinically significant difference. Among males, 33 00:02:11,360 --> 00:02:14,680 Speaker 1: the mortality rate was ten point fifteen percent when treated 34 00:02:14,720 --> 00:02:18,520 Speaker 1: by females compared with ten point twenty three percent for males. 35 00:02:19,200 --> 00:02:23,959 Speaker 1: So the studies lead author has expressed he expects backlash 36 00:02:24,000 --> 00:02:28,160 Speaker 1: from this, but maintains that the methodology was analyzed multiple times, 37 00:02:28,800 --> 00:02:33,120 Speaker 1: and some have criticized the study in terms of the 38 00:02:33,160 --> 00:02:36,839 Speaker 1: fact that you're usually getting treated by a team when 39 00:02:36,840 --> 00:02:41,000 Speaker 1: you're in the hospital. However, most still admitted were failing 40 00:02:41,200 --> 00:02:45,640 Speaker 1: women and minority patients and there is something going on here. 41 00:02:46,600 --> 00:02:48,920 Speaker 1: And so I know we've talked about this, but Samantha 42 00:02:48,919 --> 00:02:52,400 Speaker 1: and I have had some recent experiences in our family 43 00:02:52,520 --> 00:02:57,280 Speaker 1: and our group around health scares. And I will say 44 00:02:57,320 --> 00:03:02,639 Speaker 1: my mom she ou she was hospitalized recently, and when 45 00:03:02,639 --> 00:03:05,440 Speaker 1: she told me the story, it was like it was 46 00:03:05,600 --> 00:03:07,640 Speaker 1: so infuriating because it was like I was listening to 47 00:03:07,680 --> 00:03:10,840 Speaker 1: an example from this because she was like, nobody was 48 00:03:10,880 --> 00:03:12,720 Speaker 1: really listening to me. And then they put me somewhere 49 00:03:12,720 --> 00:03:15,519 Speaker 1: and didn't tell me anything, and nobody really knew why 50 00:03:15,560 --> 00:03:19,079 Speaker 1: I was there and they couldn't tell me why, and 51 00:03:19,360 --> 00:03:21,520 Speaker 1: they were mostly men that were just like, what are 52 00:03:21,520 --> 00:03:24,000 Speaker 1: you doing here? And She's like, great question, I would 53 00:03:24,040 --> 00:03:25,040 Speaker 1: love to know that. 54 00:03:27,320 --> 00:03:31,320 Speaker 2: Yeah, yeah, I don't know what I will say for 55 00:03:31,360 --> 00:03:34,720 Speaker 2: the newer stuff I found fascinating, and I don't know 56 00:03:34,760 --> 00:03:36,480 Speaker 2: what this is going to do and how things are 57 00:03:36,480 --> 00:03:38,720 Speaker 2: going to switch up. I think it's going to be 58 00:03:38,760 --> 00:03:44,560 Speaker 2: a key in like your nurses, because a chunk, I 59 00:03:44,640 --> 00:03:49,360 Speaker 2: don't think. Except for my brother who was admitted to 60 00:03:49,400 --> 00:03:53,040 Speaker 2: a hospital that was specialized in heart failure and surgeries 61 00:03:53,040 --> 00:03:56,200 Speaker 2: and such as that, my mom and my dad who 62 00:03:56,200 --> 00:03:59,360 Speaker 2: were both hospitalized for an incident. It's been a while, 63 00:04:01,120 --> 00:04:04,920 Speaker 2: never really saw a doctor. The doctors were all teledoctors, 64 00:04:05,360 --> 00:04:07,800 Speaker 2: and it was all the nurse who had to relay 65 00:04:07,880 --> 00:04:10,800 Speaker 2: what was going on and do everything. Everything was literally 66 00:04:10,840 --> 00:04:14,240 Speaker 2: they brought in a monitor to do like a zoom 67 00:04:14,240 --> 00:04:18,520 Speaker 2: call essentially of course like everything's fine. But I found 68 00:04:18,600 --> 00:04:21,919 Speaker 2: that fascinating. And each one of them, except for I 69 00:04:22,000 --> 00:04:24,000 Speaker 2: will say, okay, there was one doctor that I did 70 00:04:24,040 --> 00:04:26,960 Speaker 2: not see, who apparently was a woman that was caring 71 00:04:27,000 --> 00:04:30,160 Speaker 2: for my dad. And the way she responded was so quick, 72 00:04:30,560 --> 00:04:33,240 Speaker 2: like she actually set up things as where my mom 73 00:04:33,360 --> 00:04:35,600 Speaker 2: was kind of who was only seen by men, was 74 00:04:35,680 --> 00:04:38,720 Speaker 2: kind of like, eh, we'll try some things. It was 75 00:04:38,800 --> 00:04:41,039 Speaker 2: kind of that kind of conversation, which I'm glad they tested. 76 00:04:41,520 --> 00:04:44,880 Speaker 2: They kept her a little longer than my father because 77 00:04:44,920 --> 00:04:47,920 Speaker 2: of the types of tests. They actually had similar incidents 78 00:04:47,960 --> 00:04:50,279 Speaker 2: of why they went into the hospital. It was pretty 79 00:04:50,279 --> 00:04:53,640 Speaker 2: interesting in that result, but I was because it was 80 00:04:53,680 --> 00:04:56,240 Speaker 2: at the same hospital, so they went to the same hospital. 81 00:04:56,520 --> 00:05:00,400 Speaker 2: They had two different interactions with many a doctors and 82 00:05:00,440 --> 00:05:02,320 Speaker 2: again this is also a small town, so they have 83 00:05:02,440 --> 00:05:05,520 Speaker 2: to be like driven further away. And then the colocal 84 00:05:05,600 --> 00:05:08,200 Speaker 2: hospital is still like small in comparison to like, if 85 00:05:08,240 --> 00:05:11,440 Speaker 2: there was actually something big, they would have been if 86 00:05:11,440 --> 00:05:15,159 Speaker 2: you're either driven to or like flown to a metro 87 00:05:15,240 --> 00:05:17,400 Speaker 2: area to get to that, because it was that type 88 00:05:17,440 --> 00:05:19,240 Speaker 2: of hospital. So my experiences I think are a little 89 00:05:19,240 --> 00:05:22,080 Speaker 2: different anyway. But I did note that when I was 90 00:05:22,080 --> 00:05:24,760 Speaker 2: talking to my parents about their experiences when it came 91 00:05:24,839 --> 00:05:28,800 Speaker 2: to the woman doctor, she they genuinely trusted everything she said. 92 00:05:28,839 --> 00:05:30,960 Speaker 2: I don't know what made the difference as where they 93 00:05:31,000 --> 00:05:33,960 Speaker 2: felt like when the other doctor came in, everything was 94 00:05:34,000 --> 00:05:35,920 Speaker 2: like a hit and miss type of thing, like throw 95 00:05:35,920 --> 00:05:39,040 Speaker 2: against the wall and see what happens. So again, though 96 00:05:39,120 --> 00:05:41,960 Speaker 2: it wasn't exactly the same, but there was similar scenarios, 97 00:05:41,960 --> 00:05:43,520 Speaker 2: So I thought I did find that interesting. 98 00:05:44,440 --> 00:05:46,640 Speaker 1: Yeah, and there are a couple of reasons that the 99 00:05:46,720 --> 00:05:50,239 Speaker 1: study kind of posits for why that why that might be. 100 00:05:51,320 --> 00:05:55,960 Speaker 1: And you know, I would say anecdotally to most of 101 00:05:56,000 --> 00:06:00,440 Speaker 1: my experience has been with male doctors, and it's not 102 00:06:00,480 --> 00:06:02,279 Speaker 1: that they were bad, but a lot of times I 103 00:06:02,320 --> 00:06:04,240 Speaker 1: was just uncomfortable because they have like trauma and like 104 00:06:06,600 --> 00:06:08,960 Speaker 1: if it requires you to, i don't know, take off 105 00:06:08,960 --> 00:06:12,080 Speaker 1: your clothes or something like, I just would have I 106 00:06:12,080 --> 00:06:15,520 Speaker 1: would feel very uncomfortable, and you know that again that's 107 00:06:15,520 --> 00:06:19,400 Speaker 1: a very specific case. But because we know that a 108 00:06:19,400 --> 00:06:22,560 Speaker 1: lot more women than men do experience things like that, 109 00:06:22,560 --> 00:06:24,880 Speaker 1: that I can see that being an issue as well. 110 00:06:25,440 --> 00:06:28,080 Speaker 1: But yeah, going back to the study, the studies findings 111 00:06:28,080 --> 00:06:31,040 Speaker 1: were pretty striking. It found that in the US quote 112 00:06:31,680 --> 00:06:35,200 Speaker 1: that approximately thirty two thousand fear patients would die if 113 00:06:35,200 --> 00:06:38,760 Speaker 1: male physicians could achieve the same outcomes as female physicians 114 00:06:38,800 --> 00:06:42,640 Speaker 1: every year. They concluded that they couldn't pinpoint the exact 115 00:06:42,640 --> 00:06:46,320 Speaker 1: reason for this, but there are a few theories, and 116 00:06:46,560 --> 00:06:48,920 Speaker 1: you know, I want to be clear these are theories, 117 00:06:48,920 --> 00:06:54,080 Speaker 1: but women in general being better at listeners, communicators, more 118 00:06:54,120 --> 00:06:59,760 Speaker 1: empathetic another's women doctors tend to spend more time with 119 00:06:59,800 --> 00:07:04,520 Speaker 1: their patients. A lot of women practicing are younger than 120 00:07:04,640 --> 00:07:06,880 Speaker 1: men practicing, and this is something we've talked about in 121 00:07:06,920 --> 00:07:10,800 Speaker 1: a previous episode, but burnout is a huge problem for 122 00:07:10,920 --> 00:07:14,040 Speaker 1: women in the medical industry, which is a part of 123 00:07:14,120 --> 00:07:18,200 Speaker 1: why women are typically younger. But it means that the 124 00:07:18,200 --> 00:07:20,880 Speaker 1: younger folks might be like more up to date on 125 00:07:21,200 --> 00:07:25,680 Speaker 1: recent guidelines. If we're talking about elderly patients, I do 126 00:07:25,720 --> 00:07:27,600 Speaker 1: wonder if there's something to do with the jobs men 127 00:07:27,640 --> 00:07:31,920 Speaker 1: typically pursue versus what women typically pursue. This is just 128 00:07:31,960 --> 00:07:34,080 Speaker 1: a thought of mine. I don't have anything to back 129 00:07:34,120 --> 00:07:37,240 Speaker 1: it up, but I did when I was reading it, 130 00:07:37,280 --> 00:07:39,280 Speaker 1: I was like, I wonder if you're specifically focusing on 131 00:07:39,360 --> 00:07:45,680 Speaker 1: elderly patients. I don't know. Another thing we've talked about, 132 00:07:45,920 --> 00:07:50,960 Speaker 1: like shifting to the patient's side, is this long history 133 00:07:50,960 --> 00:07:56,280 Speaker 1: of women's pain being ignored. There have been multiple studies 134 00:07:56,360 --> 00:07:59,000 Speaker 1: that have shown that that can lead to death are 135 00:07:59,240 --> 00:08:02,800 Speaker 1: just like way worse outcomes ten years trying to get 136 00:08:02,840 --> 00:08:06,400 Speaker 1: a diagnosis longer than that, like being in pain that 137 00:08:06,480 --> 00:08:10,240 Speaker 1: whole time. One of the quotes from the study was 138 00:08:10,640 --> 00:08:14,840 Speaker 1: there's limited training in women's health issues, and they also 139 00:08:14,880 --> 00:08:21,200 Speaker 1: pointed out that medical trials still focused on men. Still. 140 00:08:31,680 --> 00:08:33,360 Speaker 2: I find it interesting too when it comes to like 141 00:08:33,440 --> 00:08:37,400 Speaker 2: heart disease. It took so long for them to figure 142 00:08:37,440 --> 00:08:40,640 Speaker 2: out that women's symptoms were different from men and not 143 00:08:40,760 --> 00:08:43,960 Speaker 2: associating heart attacks with women in general. So the fact 144 00:08:43,960 --> 00:08:46,040 Speaker 2: that that heart attacks became one of the leading causes 145 00:08:46,040 --> 00:08:49,440 Speaker 2: of death for women and no one recognized that. Everybody 146 00:08:49,520 --> 00:08:53,360 Speaker 2: was like, oh, that's weird until like literally what eighties, nineties, 147 00:08:53,360 --> 00:08:55,880 Speaker 2: I don't think until nineties, and then in like nineties 148 00:08:55,880 --> 00:08:58,840 Speaker 2: two thousands they had to have a campaign because people 149 00:08:58,960 --> 00:09:02,520 Speaker 2: did not realize this or the doctors told them so little. Again, 150 00:09:02,600 --> 00:09:04,800 Speaker 2: when my mom when she was this was like fifteen 151 00:09:04,840 --> 00:09:07,000 Speaker 2: years ago, ten fifteen years ago, when she went in 152 00:09:07,120 --> 00:09:11,120 Speaker 2: for her major heart surgery, like she almost died. She 153 00:09:11,160 --> 00:09:14,079 Speaker 2: had had symptoms for a week that doctor's men were 154 00:09:14,080 --> 00:09:17,040 Speaker 2: telling her, eh, it could be stressed, and she was like, 155 00:09:17,320 --> 00:09:19,560 Speaker 2: I don't know, it's weird because it's on my chin 156 00:09:19,679 --> 00:09:23,120 Speaker 2: and my jaw and my like this jawline is really hurting. 157 00:09:23,320 --> 00:09:25,800 Speaker 2: I think my neck's really hearty. There's something weird. And 158 00:09:25,840 --> 00:09:27,839 Speaker 2: then finally someone would be like, oh my god, you're 159 00:09:27,840 --> 00:09:30,000 Speaker 2: about to have a heart attack. Oh my god, your 160 00:09:30,160 --> 00:09:33,680 Speaker 2: main artery is caloged ninety nine percent. You're about to die. 161 00:09:34,040 --> 00:09:37,120 Speaker 2: Like essentially, it took them that long when she went 162 00:09:37,200 --> 00:09:39,600 Speaker 2: to the doctor. I'm very proud of her because she 163 00:09:39,800 --> 00:09:42,400 Speaker 2: persisted like, no, this is not right, this is not right, 164 00:09:42,480 --> 00:09:45,920 Speaker 2: this is not normal, for at least three three doctor's appointments, 165 00:09:45,960 --> 00:09:48,360 Speaker 2: if not four, to finally be like, we need to 166 00:09:48,400 --> 00:09:50,640 Speaker 2: get you in surgery right now. You're gonna die. 167 00:09:52,200 --> 00:09:56,319 Speaker 1: And that unfortunately, so many people report that experience. Right, 168 00:09:56,880 --> 00:09:59,600 Speaker 1: my mom when her recent health issue, she was telling 169 00:09:59,600 --> 00:10:02,800 Speaker 1: me her your symptoms, and I was like, hey, just 170 00:10:02,840 --> 00:10:06,280 Speaker 1: how you know, for a long time the symptoms of 171 00:10:06,320 --> 00:10:08,760 Speaker 1: a heart attack have just been presented in this way, 172 00:10:08,800 --> 00:10:11,960 Speaker 1: which is how men see it, but women can have 173 00:10:12,040 --> 00:10:15,960 Speaker 1: different symptoms, and some of the things you're telling me 174 00:10:16,640 --> 00:10:21,520 Speaker 1: are those symptoms. So I just want you to know 175 00:10:22,320 --> 00:10:26,720 Speaker 1: that maybe you should bring that up. But so many 176 00:10:27,600 --> 00:10:33,160 Speaker 1: women have reported of kind of your being emotional, you 177 00:10:33,160 --> 00:10:36,439 Speaker 1: can't handle pain, or like. 178 00:10:35,240 --> 00:10:39,000 Speaker 2: Something that larious, because we know that's the opposite is true. 179 00:10:39,120 --> 00:10:43,320 Speaker 2: Like statistically, by all the points, women handle pain much 180 00:10:43,320 --> 00:10:43,920 Speaker 2: better than men. 181 00:10:45,240 --> 00:10:48,800 Speaker 1: Yes, I also think it's really interesting and we should 182 00:10:48,840 --> 00:10:51,480 Speaker 1: come back, and I we should come back and look 183 00:10:51,480 --> 00:10:57,480 Speaker 1: into this. But in my experience, the discussion around a 184 00:10:57,520 --> 00:11:00,200 Speaker 1: heart attack was it was because men ate more or 185 00:11:00,280 --> 00:11:04,200 Speaker 1: meat and they like ate like heavier things, and women 186 00:11:05,520 --> 00:11:08,040 Speaker 1: of course aren't eating their salads or what half you 187 00:11:08,240 --> 00:11:12,280 Speaker 1: in this very gender stereotype, so they aren't going to 188 00:11:12,320 --> 00:11:14,040 Speaker 1: have one. But it was almost like I remember when 189 00:11:14,080 --> 00:11:19,120 Speaker 1: my dad had heart troubles. It was the whole conversation 190 00:11:19,280 --> 00:11:23,200 Speaker 1: around it was, well, yeah, he's eating the steak. 191 00:11:22,960 --> 00:11:27,199 Speaker 2: And for getting genetics exists. 192 00:11:27,240 --> 00:11:31,280 Speaker 1: Right, but it did have that very like obviously men 193 00:11:31,400 --> 00:11:36,840 Speaker 1: are eating this this and women aren't sticking to the leaves, 194 00:11:37,840 --> 00:11:43,280 Speaker 1: thank goodness. Yeah, which is it messed up in many 195 00:11:43,360 --> 00:11:45,720 Speaker 1: many ways. I would like to come back and look 196 00:11:45,760 --> 00:11:48,160 Speaker 1: into that, because that's just what I remember from being 197 00:11:48,160 --> 00:11:50,800 Speaker 1: a kid. My dad had his heart problems, was it 198 00:11:50,880 --> 00:11:58,400 Speaker 1: just felt like, well, he heap steak like my mom. 199 00:11:58,640 --> 00:12:02,440 Speaker 1: Here's a quote from NBC News. The new research is 200 00:12:02,440 --> 00:12:05,160 Speaker 1: part of a growing field of study examining why women 201 00:12:05,200 --> 00:12:08,520 Speaker 1: and minorities tend to receive worse medical care than men 202 00:12:08,559 --> 00:12:12,120 Speaker 1: and white patients. For example, women and minority patients are 203 00:12:12,200 --> 00:12:15,520 Speaker 1: up to thirty percent more likely to be misdiagnosed than 204 00:12:15,600 --> 00:12:19,679 Speaker 1: white men. Our pain and our symptoms are often dismissed, 205 00:12:19,760 --> 00:12:22,440 Speaker 1: said doctor Meghan Ranny, dean of the Yale School of 206 00:12:22,440 --> 00:12:25,480 Speaker 1: Public Health. It may be that women physicians are more 207 00:12:25,480 --> 00:12:28,600 Speaker 1: aware of that and are more empathetic. And going back 208 00:12:28,600 --> 00:12:31,120 Speaker 1: to that heart attack thing we're just talking about, another 209 00:12:31,160 --> 00:12:34,360 Speaker 1: study found that women having heart attacks were more likely 210 00:12:34,400 --> 00:12:37,840 Speaker 1: to survive when being treated by a doctor who is 211 00:12:38,280 --> 00:12:42,120 Speaker 1: a woman. Women, as I was kind of mentioning earlier, 212 00:12:42,200 --> 00:12:46,600 Speaker 1: might feel more comfortable being open with another woman about 213 00:12:46,600 --> 00:12:50,120 Speaker 1: things like my cousin is a nurse and she used 214 00:12:50,120 --> 00:12:53,120 Speaker 1: to joke, like, we know half the stuff you're saying 215 00:12:53,200 --> 00:12:55,840 Speaker 1: is a lie when you come in when we ask you. 216 00:12:58,280 --> 00:13:03,280 Speaker 1: So I can see, I can see it being more 217 00:13:03,320 --> 00:13:06,880 Speaker 1: comfortable to be, you know, upfront about certain things with 218 00:13:07,520 --> 00:13:11,160 Speaker 1: a woman as a woman. The study did come out 219 00:13:11,160 --> 00:13:16,160 Speaker 1: with a few recommendations minimizing the gender pay gap and 220 00:13:16,280 --> 00:13:20,800 Speaker 1: disparities in the industry. Yep. In general, only a third 221 00:13:20,840 --> 00:13:23,679 Speaker 1: of practicing doctors are women, and the gap is worse, 222 00:13:24,360 --> 00:13:27,079 Speaker 1: far worse in certain specialties I believe in one of 223 00:13:27,120 --> 00:13:34,120 Speaker 1: them was like one percent women. Addressing gendered gaps in care, 224 00:13:34,880 --> 00:13:39,439 Speaker 1: both in practice and regarding patients gender, The study authors 225 00:13:39,480 --> 00:13:42,520 Speaker 1: do caution against switching doctors just based on racar gender 226 00:13:42,640 --> 00:13:46,920 Speaker 1: if you have one you're comfortable with. The study authors 227 00:13:46,960 --> 00:13:50,760 Speaker 1: were more interested in looking into why this difference exist 228 00:13:50,920 --> 00:13:55,040 Speaker 1: in the first place, because if regardless of gender, folks 229 00:13:55,080 --> 00:13:59,280 Speaker 1: are getting the same training, then the outcomes should be 230 00:13:59,720 --> 00:14:03,280 Speaker 1: close sared right, right. That was kind of their question, 231 00:14:03,360 --> 00:14:08,160 Speaker 1: like that something is not adding up here. But also 232 00:14:09,880 --> 00:14:13,559 Speaker 1: they pretty much ended with like men do better. They 233 00:14:13,720 --> 00:14:19,640 Speaker 1: kind of like maybe they were basically saying like, ask 234 00:14:19,680 --> 00:14:24,240 Speaker 1: yourself some questions right about why this might be and 235 00:14:24,360 --> 00:14:27,560 Speaker 1: maybe the answer is out of your control or I 236 00:14:27,600 --> 00:14:31,040 Speaker 1: don't know, but they were hey men, just maybe. 237 00:14:32,040 --> 00:14:34,880 Speaker 2: You know, maybe ask A big thing in this is 238 00:14:34,880 --> 00:14:39,120 Speaker 2: because internships happened clinical and practices, and that's why you 239 00:14:39,200 --> 00:14:42,520 Speaker 2: learn a lot of attitudes. Yeah that, And I say, 240 00:14:42,520 --> 00:14:44,080 Speaker 2: this is a person who went through it through a 241 00:14:44,120 --> 00:14:46,480 Speaker 2: whole practicum when I became a social worker and was 242 00:14:46,520 --> 00:14:48,680 Speaker 2: told don't do this, don't do this. They gave you, 243 00:14:48,720 --> 00:14:51,560 Speaker 2: they taught you biases. So if these biases exist, if 244 00:14:51,560 --> 00:14:53,440 Speaker 2: it started with men to begin with, then those men 245 00:14:53,560 --> 00:14:56,440 Speaker 2: are training other men and training other people and teaching 246 00:14:56,440 --> 00:14:59,520 Speaker 2: this that way that I think influences a lot. And 247 00:14:59,560 --> 00:15:02,640 Speaker 2: I think that's a bigger conversation, and like, okay, who 248 00:15:02,720 --> 00:15:05,720 Speaker 2: is speaking to whom? Who is mentoring whom? Because that's 249 00:15:05,760 --> 00:15:07,840 Speaker 2: a big part of their studies as well. Sure they 250 00:15:07,880 --> 00:15:10,520 Speaker 2: do all that, but essentially when you go in and 251 00:15:10,560 --> 00:15:14,040 Speaker 2: doing it hands on, it's a different take almost and 252 00:15:14,120 --> 00:15:16,320 Speaker 2: you are learning under someone else. And I feel like 253 00:15:16,480 --> 00:15:20,120 Speaker 2: that is probably where we're seeing the big, big differences 254 00:15:20,120 --> 00:15:23,920 Speaker 2: and who's doing saying what and taking what type of attitude. 255 00:15:24,520 --> 00:15:26,720 Speaker 1: I think you're right. I think the teaching is a 256 00:15:26,760 --> 00:15:29,680 Speaker 1: huge part of it. Friend Marissa of the show is 257 00:15:29,680 --> 00:15:32,200 Speaker 1: a nurse and she does a lot of teaching and 258 00:15:32,280 --> 00:15:35,440 Speaker 1: I'll hear her talk about it, and she has great 259 00:15:35,480 --> 00:15:39,840 Speaker 1: students of all genders. She has bad students of all genders. 260 00:15:40,360 --> 00:15:44,520 Speaker 1: But I feel like, but because she's the teacher, she's 261 00:15:44,640 --> 00:15:48,000 Speaker 1: more aware of those right kind of things, just because 262 00:15:48,000 --> 00:15:53,240 Speaker 1: that's who she is and what she knows. So I 263 00:15:53,280 --> 00:15:55,880 Speaker 1: do think that's that's really important. And you know, we 264 00:15:55,960 --> 00:15:58,920 Speaker 1: all have biases we might not recognize, and I think 265 00:15:58,920 --> 00:16:02,400 Speaker 1: it is easier to be here's a guy that looks 266 00:16:02,440 --> 00:16:04,600 Speaker 1: like me, I'll mentor him, I'll take him on rye 267 00:16:04,720 --> 00:16:08,720 Speaker 1: or whatever. But yeah, maybe ask some questions about that. 268 00:16:09,280 --> 00:16:10,320 Speaker 2: HM. 269 00:16:11,960 --> 00:16:15,760 Speaker 1: Well, if anyone have any thoughts about this, or if 270 00:16:15,760 --> 00:16:18,160 Speaker 1: you're in the medical field or not, we have gotten 271 00:16:18,200 --> 00:16:23,479 Speaker 1: a lot of messages about people's struggles to be believed 272 00:16:23,880 --> 00:16:26,040 Speaker 1: when it comes to getting a diagnosis, so that is 273 00:16:26,040 --> 00:16:28,560 Speaker 1: a huge problem. If you have any thoughts about that 274 00:16:28,680 --> 00:16:31,360 Speaker 1: as well, please let us know. You can email U 275 00:16:31,360 --> 00:16:33,720 Speaker 1: at Stuff Media, mom Stuff at iHeartMedia dot com. You 276 00:16:33,720 --> 00:16:35,400 Speaker 1: can find us on Twitter at mom Stuff Podcast, or 277 00:16:35,400 --> 00:16:37,520 Speaker 1: on Instagram. And TikTok at stuff One Never Told You. 278 00:16:38,080 --> 00:16:40,320 Speaker 1: We're on YouTube, we have a te public store, and 279 00:16:40,360 --> 00:16:41,880 Speaker 1: we have a book you can get where you get 280 00:16:41,920 --> 00:16:44,640 Speaker 1: your books. Thanks as always too, our super producer Christina, 281 00:16:44,640 --> 00:16:47,240 Speaker 1: our executive producer My and your contributor Joey. Thank you 282 00:16:47,800 --> 00:16:49,840 Speaker 1: and thanks to you for listening Stuff I Never Told You, 283 00:16:49,880 --> 00:16:52,120 Speaker 1: his production of iHeartRadio. For more podcast from My Heart Radio, 284 00:16:52,160 --> 00:16:54,200 Speaker 1: you can check out the heart Radio Apple podcast wherever 285 00:16:54,200 --> 00:16:55,760 Speaker 1: you listen to your favorite shows. 286 00:17:01,600 --> 00:17:02,680 Speaker 2: A lovely move