WEBVTT

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All across America and around the world, this

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is Veterans Radio. This is Veterans Radio. Good

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day. I'm Jim Fossone. I'm the Officer of the

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Deck today here on Veterans Radio and thanks

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for joining us. We've got some interesting stories

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You can learn more about them by going to puroclean

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.com. Hey, we want to welcome to Veterans Radio

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today a friend, Robert Neer. Dr. Robert Neer,

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U .S. Army. Bob, how you doing? I am well. Thanks

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for having me. Well, Robert and I are on a couple

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of boards together and working on projects, and

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he recently published some information and some

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research he was doing for his PhD dissertation.

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I said, ooh, this is interesting. We've got to

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follow up on this. But before we get into the

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academic study stuff, Robert, you were in the

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US Army from June of 05 to April of 2010. How

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did a nice kid like you end up in the army? You

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know, I was romantic and I wanted to serve my

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country. I also didn't mind the benefits that

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they were offering for college. Now, was this

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a family thing? I mean, did you have a dad or

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uncles who serve? Where did the desire come from?

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Yeah, so my my grandpa who I kind of grew up

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with he served and it didn't talk about it much,

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but I knew he served and Besides that I really

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didn't have a lot of people around me that served

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in the military I just knew that I could not

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afford college and I wanted to go on I wanted

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to go down a route that was paid for But I also

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like I said being romantic. I wanted to serve

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my country and just serve people Well, Robert

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is a father, a husband. The blended family has

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three kids. All of that kind of comes together

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post -service, doesn't it? Oh, yeah. Yep. Absolutely.

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Well, let's talk a little bit about your education

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because I, you know, mentioned you recently received

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your PhD from Western Michigan University. You

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also hold a master's of public administration

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and from Pennsylvania State University a bachelor's

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of science degree in leadership from Grand Valley

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State University and a general studies associate

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degree from the Central Texas College. Now this

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is a kid who couldn't afford college, right?

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Yep. You kind of went all the way on your education.

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Talk to us a little bit about that. Yeah, thanks

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for pointing that out. I had no desire to continue

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to go. You know, I got my first degree while

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I was still just getting out of the Army, which

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was an associate's degree, and I had a desire

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to understand leadership a little bit better.

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just from my experiences in active duty and a

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little bit in the National Guard after that.

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So I sought the leadership in business program

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through Grand Valley. And after that, I was in

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the public service at that time, working for

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DHHS in the state of Michigan. And I had a desire

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to understand public administration a little

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bit better. I had my GI bill left. So I doubled

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down and got it done. And I had no desire to

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go back, but the program director, Dr. Kieran

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Fogarty, uh he was I kind of came across him

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in a work professional setting um and when I

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was working in non -profit field and he's just

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a great leader good person and he was the director

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of that program kind of recruited me um I ended

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up going through the program took me a little

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bit longer than I thought because I was the deputy

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director for the state of Michigan's veteran

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affairs for the four and a half years. So that

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took quite a bit of my time. So it was postponed

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and I had to jump back into it after I left that

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role and I was able to get it done, finished

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up in this last year. And so I wanted to... Chase

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the program, which was a PhD in interdisciplinary

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health sciences. And it helps me understand a

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lot about research and the systemic ways that

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you do scientific research to make sure that

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you're doing it properly and you are, you know,

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you're not biased and you're doing it in a way

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that supports the mission of what you're trying

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to accomplish with your research. So just a wonderful

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program. I was very blessed to take it and I'm

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happy to be done with it. Yeah, I'm sure. But

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the reason we're talking is because we're going

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to talk not about, oh, this is just my opinion.

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We all got opinions, right? This is research

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-based with some conclusions, some information

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that I want to get across to folks. But that's

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the key to realize that there was rigorous research

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put to this work. But before we get there, I'm

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going to jump in a little fast here. Talk to

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us about your time in the Army. Yeah, yeah, I

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was in from 2005 in June after high school until

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April 2010 I got done with basic training and

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an AIT and I Was told that I was going over to

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Seattle. I wasn't too keen on being on the other

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side of the nation So I thought how do I get

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on this side and one of my drill sergeants said

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well go airborne and you'll be at brag So I went

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airborne and I got stationed in Alaska even further

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You gotta love Army intelligence, right? So I

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went up to Alaska and we prepared, it was a brand

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new brigade, the fourth of the 25th Infantry

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Division, an airborne brigade that stood up in

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Alaska in Anchorage. And I think 2004 we deployed

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in 2006, the end of 2006, I found myself overseas

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in Kuwait for a month or so, and then I went

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up into Afghanistan during the second surge.

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We were up there for about 15 months. We came

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back. It was a very effective deployment. We

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were very busy working the coin mission, counterinsurgency

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under General Petraeus during that time. Like

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I said, very busy, very successful mission. We

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did lose a lot of people. I think we lost 79

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from our brigade during that deployment, not

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including our external assets from the National

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Guard and reserves. So just very busy. We got

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back 11 months of downtime and I was stop lost

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involuntarily extended and sent back over to

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Afghanistan. I was there for a little over 11

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months. almost 12 month deployment came back

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and I got out of the military and I ended up

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joining the National Guard for two years and

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staying right next to my home in Michigan and

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kind of chasing academic pursuits in life with

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my young family at the time. Well with two tours

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in Afghanistan you really saw you know some of

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the worst of that 20 year war It's one of those

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things that never leaves you, it doesn't. Yeah,

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no, and just to clarify, I was first deployment

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and I was 608 was in Iraq and my second one was

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in Afghanistan. But yeah, you're absolutely correct.

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It's a different culture, different world. I

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was very blessed to be a battalion commander's

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driver. So I was able to see quite a bit and

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work across a lot of the country and, you know,

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be out there with a lot of the people and get

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to know people. So it was a lot of exposure for

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a young lad. Well, and you know somebody who

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just out of high school seeing all this really

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shapes you and part of that shape was sort of

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this accidental pattern of Well, I want to go

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learn more about this. So I'm going to go back

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and get some more education And you use the GI

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bill as I say from an associate degree to bachelor's

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degree to a master's degree and ultimately to

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to the PhD which gets us to what we really kind

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of want to talk about is the research topic that

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you took on. Tell us a little bit about the topic

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which was assessing the relationship between

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combat exposure, wartime service, and barriers

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to substance use disorder treatment in post -9

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-11 vets. Kind of strikes home. Tell us how you

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got there with this topic. Yeah, you know I'm

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coming back from both of those deployments we

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had a really good Kind of out processing where

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individuals would go through a pretty rigorous

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Psychological assessments and everybody knew

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what to say and how to get through it and you

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know, you saw a lot of alcoholism You saw a lot

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of people kicked out of the military after deployments

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Between my first and second deployment when we

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came back our brigade was kind of known Which

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wasn't great as having a really high DUI count

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um for our soldiers and uh it was it was just

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unfortunate you know it's always been an interest

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of mine to see like what can we do why are people

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not taking advantage of all these amazing services

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that are out there is it stigma um what are these

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barriers like um and when i was talking to my

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uh director or my um academic advisor when we're

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discussing what kind of dissertation we would

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chase, this topic came up as it always has. I

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want to see how do we help these people get through

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these barriers, even if they're not real. They're

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just perceived barriers, but to them that becomes

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a real barrier if it's perceived barriers. So

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I kind of wanted to assess and see what we could

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do about it. I didn't make it that far, but we

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did find a national data set through SAMHSA,

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which I'll talk a little bit more about here

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in a little bit. should that had most of the

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data that we needed based off of what barriers

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they perceived and why they weren't seeking treatment

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if they did have a substance use disorder. So

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it was something that was just extremely interesting.

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You know, I've always it's been around seeing

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a lot of people go down the wrong paths and not

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get treatment for whatever reason. So I just

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want to try to do my part and expose what we

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could do a little different maybe to minimize.

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people not going to seek treatment and seeing

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that there's options for them. And I'm gonna

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explain this acronym here, you can use it the

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rest of the way, which is substance use disorders

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or SUDs. And you were trying to sort out from

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this large national survey on drug use and health,

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what factors influence getting SUD treatment

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or not. and those are the barriers you're talking

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about. So what kind of barriers did you find

00:12:35.889 --> 00:12:39.909
when you parsed all the data? Yeah, absolutely.

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So this study was found and I should have backed

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up a little bit and talked about it so that the

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primary research questions were what is the relationship

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or what was the relationship between post 9 -11

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combat exposure and perceived barriers such as

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stigma, access to care, and financial constraints

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that would influence veterans' help seeking behaviors

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and substance use disorders. And that's pretty

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specific because I wanted to assess the modern

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warfare in post -911. So I did not look at all

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veterans all the way back. I only took the study

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sample that we had for post -9 -11 veterans out

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of that larger sample. The next question was,

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what was the relationship between demographic

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factors such as age, gender, race, ethnicity,

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income was another one, and treatment seeking

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behavior among these post -9 -11 veterans. So

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I was really focused on those two areas. And

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it's extremely significant because the goal was

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to address critical gaps and sub treatment access

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for post 9 -11 veterans because each generation

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has a different, I wouldn't say ambiant, but

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a different experience. They have a different

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culture. For the most part, veterans are pretty...

00:13:56.199 --> 00:13:59.000
similar but that generational differences do

00:13:59.000 --> 00:14:00.899
make a difference with their experience and you

00:14:00.899 --> 00:14:03.159
know a little bit more wisdom with time from

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our Vietnam veterans leading the path and advocating

00:14:05.460 --> 00:14:07.740
so much for all these benefits that maybe all

00:14:07.740 --> 00:14:09.620
these post 9 -11 veterans aren't taking advantage

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of, if that makes sense. It does and one of the

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things that was a key finding that you had was

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sort of the degree of sudden prevalence between

00:14:22.840 --> 00:14:27.570
9 -11 combat veterans, 9 -11, non -combat veterans

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in the general population. Explain to us a little

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bit about that differential and why trying to

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sort out what the barriers are to treatment,

00:14:37.070 --> 00:14:40.169
why that's so important for combat -exposed veterans.

00:14:41.529 --> 00:14:45.870
Yeah, so like I said, that three main were stigma.

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They're in the national data set, which was Like

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I said, I'll go through it all here in a second.

00:14:53.720 --> 00:14:55.820
But the national data set that we used, it had

00:14:55.820 --> 00:14:58.639
three primary categories. It was basically financial.

00:14:59.639 --> 00:15:03.700
It was your stigma or culture around it. And

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then the last one was access to care. So logistical

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barriers. So stigma, financial constraints, and

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access to care. And those were the main perceived

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barriers that are going to influence whether

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or not people did seek treatment or not. And

00:15:17.779 --> 00:15:23.480
what we found was that anecdotal costs or financial

00:15:23.480 --> 00:15:27.039
constraints were kind of a key finding that were

00:15:27.039 --> 00:15:31.659
a perceived problem and it made veterans 28 %

00:15:31.659 --> 00:15:35.399
less likely to go seek treatment if they had

00:15:35.399 --> 00:15:37.879
those perceived barriers or financial constraints

00:15:37.879 --> 00:15:42.620
in their life. We did find that if you had over

00:15:42.620 --> 00:15:47.120
$75 ,000 a year in income, you were 3 .42 times

00:15:47.120 --> 00:15:50.860
more likely to seek treatment if you acknowledged

00:15:50.860 --> 00:15:53.580
that you had a substance use disorder than those

00:15:53.580 --> 00:15:57.340
who were less than $75 ,000, which was pretty

00:15:57.340 --> 00:15:59.220
significant considering, you know, it's three

00:15:59.220 --> 00:16:01.379
and a half times more likely to seek treatment

00:16:01.379 --> 00:16:05.659
than those who are less than $75 ,000. And then

00:16:05.659 --> 00:16:10.080
there was no indication. One thing that we found,

00:16:10.240 --> 00:16:12.379
which we were seeking to see if there was an

00:16:12.379 --> 00:16:16.399
indication or a significance, was that veterans

00:16:16.399 --> 00:16:21.139
who were exposed to combat in Overseas or whatever

00:16:21.139 --> 00:16:26.679
their self -designated combat exposure that There

00:16:26.679 --> 00:16:29.200
was no significance in them seeking treatment

00:16:29.200 --> 00:16:31.679
or being more likely to seek treatment. That's

00:16:31.679 --> 00:16:38.000
a really when I read your Research I was really

00:16:38.000 --> 00:16:42.039
surprised by that because combat exposed veterans

00:16:42.490 --> 00:16:48.950
were almost double likelihood of a SUD situation

00:16:48.950 --> 00:16:53.929
than non -combat veterans, and I don't know,

00:16:54.029 --> 00:16:59.110
two and a half times or something, greater than

00:16:59.110 --> 00:17:02.269
the general population. you know the guys with

00:17:02.269 --> 00:17:05.069
the problem seem to be okay well they're combo

00:17:05.069 --> 00:17:09.230
exposed veterans so that probably is going to

00:17:09.230 --> 00:17:13.569
factor into why they do don't don't go and get

00:17:13.569 --> 00:17:16.950
treatment but that didn't turn out to be a driver

00:17:16.950 --> 00:17:19.950
at all did it? No and that's the thing with this

00:17:19.950 --> 00:17:22.650
study I should talk about it real quick on the

00:17:22.650 --> 00:17:24.869
data set that he used so that way people can

00:17:24.869 --> 00:17:27.970
reference it. The data set is a very well -known

00:17:27.970 --> 00:17:30.369
national survey on drug use and health, which

00:17:30.369 --> 00:17:34.329
is also NISDA. And it is from SAMHSA, which is

00:17:34.329 --> 00:17:35.990
the Substance Abuse and Mental Health Services

00:17:35.990 --> 00:17:39.230
Administration for America. They do this very

00:17:39.230 --> 00:17:43.349
large survey across the whole nation on an annual

00:17:43.349 --> 00:17:47.009
basis. And from my study, there was about 15,

00:17:47.109 --> 00:17:49.490
just over 59 ,000 participants in the survey.

00:17:50.109 --> 00:17:53.390
But I focused on Well, also, out of those 59

00:17:53.390 --> 00:17:59.490
,000 participants, about 1 ,980, they had service

00:17:59.490 --> 00:18:04.549
in the military. And 838 of those out of the

00:18:04.549 --> 00:18:09.289
entire 59 ,838 were post -9 -11 veterans. And

00:18:09.289 --> 00:18:11.789
then post -9 -11 veterans who served in combat

00:18:11.789 --> 00:18:17.309
was about 450 out of those 830. So that was,

00:18:17.369 --> 00:18:20.099
you know, just to give you a kind of idea of

00:18:20.099 --> 00:18:22.700
how big the data set is and how well -known it

00:18:22.700 --> 00:18:26.380
is before we dive into the results that you're

00:18:26.380 --> 00:18:30.240
discussing, because what we did find was that

00:18:30.240 --> 00:18:35.799
veterans, which let me reference this. I believe

00:18:35.799 --> 00:18:41.579
it's 9 .6 % of the general population had a self

00:18:41.579 --> 00:18:45.079
-identified substance use disorder. Non -combat

00:18:45.079 --> 00:18:47.940
veterans from the same population had a 12 .8

00:18:47.940 --> 00:18:53.000
% likelihood of a prevalence, and combat -exposed

00:18:53.000 --> 00:18:57.380
veterans was 21 .5%, meaning that one in five

00:18:57.380 --> 00:19:00.579
veterans self -identified that they, or acknowledged

00:19:00.579 --> 00:19:03.599
that they have a substance use disorder. Yeah,

00:19:03.799 --> 00:19:06.900
again, you'd think, okay, I understand why the

00:19:06.900 --> 00:19:11.640
guys in direct combat have a higher likelihood

00:19:11.640 --> 00:19:17.759
of substance. use disorder. But that then gets

00:19:17.759 --> 00:19:20.279
me to, well, they're probably the guys who are

00:19:20.279 --> 00:19:22.940
getting the most amount of treatment. But it's

00:19:22.940 --> 00:19:25.079
sort of different than that. The data tells you

00:19:25.079 --> 00:19:27.539
a different story. Tell us what the data tells

00:19:27.539 --> 00:19:31.000
you. Yeah, the data, as I mentioned earlier,

00:19:31.140 --> 00:19:34.859
there was no significance in any of the perceived

00:19:34.859 --> 00:19:37.839
barriers or likelihood that combat veterans would

00:19:37.839 --> 00:19:41.319
seek treatment at a higher rate. And we don't

00:19:41.319 --> 00:19:44.109
know that We don't know the reason for that.

00:19:44.269 --> 00:19:46.509
I don't have that data at my fingertips. There's

00:19:46.509 --> 00:19:49.369
many assumptions that we could say like, for

00:19:49.369 --> 00:19:52.569
example, those veterans, they know they have

00:19:52.569 --> 00:19:56.390
an issue or a problem because they're more likely

00:19:56.390 --> 00:19:58.250
to know because they have better out processing

00:19:58.250 --> 00:20:00.490
like what I had when I was getting out to acknowledge

00:20:00.490 --> 00:20:04.759
that these things are issues. as opposed to maybe

00:20:04.759 --> 00:20:07.259
those who don't deploy. So we don't know like

00:20:07.259 --> 00:20:09.839
what those are. But some of the big barriers

00:20:09.839 --> 00:20:11.839
that, you know, you think about in the military,

00:20:12.099 --> 00:20:15.339
that is in my literature review, with culture

00:20:15.339 --> 00:20:18.819
and military culture, is, you know, you're supposed,

00:20:18.960 --> 00:20:21.079
you're tough. You're supposed to be a tough person.

00:20:21.220 --> 00:20:24.579
You don't ask for help. There's promotion potential

00:20:24.579 --> 00:20:28.400
that may go away if these things come to light.

00:20:28.980 --> 00:20:31.579
There's a lot of potential issues with you mentioning

00:20:31.579 --> 00:20:34.319
it in the military culture, even though it's

00:20:34.319 --> 00:20:36.640
presented in a way that it's okay to ask for

00:20:36.640 --> 00:20:40.059
help. You'll see, I don't know if you've seen

00:20:40.059 --> 00:20:41.980
some of the policy changes, but even one just

00:20:41.980 --> 00:20:43.539
recently that might have negative unintended

00:20:43.539 --> 00:20:48.180
consequences is the one that holds E7 and aboves

00:20:48.180 --> 00:20:51.599
now to the same standards as E6s and below when

00:20:51.599 --> 00:20:55.809
it comes to DUIs and their punishments. meaning

00:20:55.809 --> 00:20:59.089
that they can be demoted just as quick as the

00:20:59.089 --> 00:21:01.529
younger, you know, the lower ranking individuals.

00:21:01.690 --> 00:21:03.589
And that doesn't seem like much, and it seems

00:21:03.589 --> 00:21:05.230
like a no -brainer that it'd be a good thing,

00:21:05.509 --> 00:21:08.470
but that does compound the challenges in the

00:21:08.470 --> 00:21:10.529
substance use field. You're gonna have more people

00:21:10.529 --> 00:21:12.109
hiding it. You're gonna have more people not

00:21:12.109 --> 00:21:14.910
seeking mental health support and treatment because

00:21:14.910 --> 00:21:17.670
they don't wanna be exposed, which could be detrimental

00:21:17.670 --> 00:21:20.869
to their careers, right? I do wanna get to your

00:21:20.869 --> 00:21:23.339
recommendations, but there was another... set

00:21:23.339 --> 00:21:26.700
of key findings that you've had from parsing

00:21:26.700 --> 00:21:30.380
the data that I thought was interesting and we

00:21:30.380 --> 00:21:35.660
should kind of tell people about. And that there

00:21:35.660 --> 00:21:40.000
was a race and ethnic pattern that you were able

00:21:40.000 --> 00:21:46.720
to discern that if I understand this right, white

00:21:46.720 --> 00:21:51.099
veterans, non -Hispanic white veterans, were

00:21:51.099 --> 00:21:55.339
roughly twice as likely as black veterans to

00:21:55.339 --> 00:21:58.900
seek treatment. Am I reading that right, or is

00:21:58.900 --> 00:22:02.559
that the percentage of folks with SUD's prevalence?

00:22:02.990 --> 00:22:05.509
Yeah, no, that's absolutely correct. So the people

00:22:05.509 --> 00:22:08.589
that are going to seek treatment based off of

00:22:08.589 --> 00:22:12.970
this data set that was ran in 2022 showed that

00:22:12.970 --> 00:22:15.170
race and ethnicity absolutely played a crucial

00:22:15.170 --> 00:22:17.890
role in treatment seeking behavior. Specifically,

00:22:18.130 --> 00:22:19.930
as you mentioned, non -Hispanic white veterans

00:22:19.930 --> 00:22:23.289
had the highest treatment seeking rate at 6 .2%,

00:22:23.289 --> 00:22:27.730
while non -Hispanic black veterans had a much

00:22:27.730 --> 00:22:32.009
lower rate, which was 3 .8%, and Hispanic veterans

00:22:32.009 --> 00:22:35.829
sought treatment at a similar rate, at 4 .5.

00:22:36.109 --> 00:22:38.130
So that shows you that there are some cultural

00:22:38.130 --> 00:22:42.970
barriers, not necessarily, that may be based

00:22:42.970 --> 00:22:45.049
off of race and ethnicity, if that makes sense.

00:22:45.470 --> 00:22:47.650
Yeah, I think it's important to realize those

00:22:47.650 --> 00:22:49.630
cultural barriers exist, because you can't have

00:22:49.630 --> 00:22:54.380
the same. if you will, recommendations or one

00:22:54.380 --> 00:22:57.440
size doesn't fit all when you go through this

00:22:57.440 --> 00:23:00.299
and see, yeah, different groups are being impacted

00:23:00.299 --> 00:23:02.880
different ways. And before we run out of time,

00:23:02.940 --> 00:23:04.940
I want you to talk about your recommendations

00:23:04.940 --> 00:23:07.920
if you would. Oh yeah, so two more things to

00:23:07.920 --> 00:23:09.220
mention and I'll talk about the recommendations

00:23:09.220 --> 00:23:12.849
because they're key in there. Age was also a

00:23:12.849 --> 00:23:14.829
strong predictor of treatment seeking behavior.

00:23:15.509 --> 00:23:18.549
The age range 35 to 49 had the highest engagement

00:23:18.549 --> 00:23:22.490
rate at 6 .9 % compared to those younger veterans,

00:23:22.549 --> 00:23:26.569
which was only 2 .5 % seeking treatment and similar

00:23:26.569 --> 00:23:29.210
rates, but it was definitely 35 to 49 is the

00:23:29.210 --> 00:23:32.849
highest. And then on the other hand, there was

00:23:32.849 --> 00:23:34.809
no statistical significance between male and

00:23:34.809 --> 00:23:38.970
female, but males were a little bit more likely,

00:23:39.069 --> 00:23:42.230
5 .4 % compared to 4 .8. of the female gutter

00:23:42.230 --> 00:23:45.450
population. But with our key findings, you know,

00:23:45.529 --> 00:23:49.990
it's pretty impressive to see all these things

00:23:49.990 --> 00:23:53.369
come together. And, you know, it kind of reassures

00:23:53.369 --> 00:23:56.930
your gut feeling of what's going on in the space.

00:23:57.849 --> 00:24:01.289
And are there issues that we could be avoiding

00:24:01.289 --> 00:24:04.410
by giving recommendations that we know are backed

00:24:04.410 --> 00:24:07.579
by research? So we already talked about The key

00:24:07.579 --> 00:24:09.799
findings of post 9 -11 veterans that were combat

00:24:09.799 --> 00:24:12.900
exposed being two times more likely than the

00:24:12.900 --> 00:24:17.500
general population to have a substance use disorder.

00:24:17.640 --> 00:24:21.539
We talked about male and female and the high

00:24:21.539 --> 00:24:25.839
and low rates of age, racial disparities, and

00:24:25.839 --> 00:24:29.160
the higher income being an increased likelihood

00:24:29.160 --> 00:24:32.740
of seeking treatment by 3 .4%, but also the perceived

00:24:32.740 --> 00:24:35.990
barrier reduced likelihood of seeking treatment

00:24:35.990 --> 00:24:38.390
by 28 % meaning that as we talked in the beginning

00:24:38.390 --> 00:24:42.410
that if you had less or if you perceive that

00:24:42.410 --> 00:24:44.009
financial constraints were going to be an issue

00:24:44.009 --> 00:24:47.390
you were 28 % right off the bat less likely to

00:24:47.390 --> 00:24:51.329
even seek treatment. So some of the recommendations

00:24:51.329 --> 00:24:54.529
that I made, could I jump into those? Yeah please

00:24:54.529 --> 00:24:56.849
do. I think there's five of them here that I

00:24:56.849 --> 00:25:00.579
want you to cover. Okay, yeah, so the first one

00:25:00.579 --> 00:25:02.960
obviously is to expand financial support by covering

00:25:02.960 --> 00:25:05.839
indirect costs such as transportation, child

00:25:05.839 --> 00:25:08.680
care, because we found out that ancillary costs

00:25:08.680 --> 00:25:12.359
are kind of a deterrent when it comes to seeking

00:25:12.359 --> 00:25:14.500
treatment because insurance doesn't necessarily

00:25:14.500 --> 00:25:17.119
cover everything. They would maybe cover the

00:25:17.119 --> 00:25:20.059
treatment, but there's a lot more complexities

00:25:20.059 --> 00:25:22.380
going on in everybody's life that maybe we should

00:25:22.380 --> 00:25:25.559
be cognizant of when we're getting people into

00:25:25.559 --> 00:25:28.250
treatment for substance use. there are some programs

00:25:28.250 --> 00:25:30.529
out there that are very effective but I would

00:25:30.529 --> 00:25:34.289
advocate to you know promote those but also funding

00:25:34.289 --> 00:25:37.289
for gender specific with integrated care meaning

00:25:37.289 --> 00:25:40.670
that we would bring all care together not just

00:25:40.670 --> 00:25:42.869
their substance use disorder care but also their

00:25:42.869 --> 00:25:45.329
mental health care their physical health care

00:25:45.329 --> 00:25:49.569
in one location so that way that individual can

00:25:49.569 --> 00:25:53.250
have a full you know supported substance use

00:25:53.250 --> 00:25:56.769
treatment experience. We also, second recommendation

00:25:56.769 --> 00:25:59.710
was to reduce stigma by utilizing veteran led

00:25:59.710 --> 00:26:02.589
campaigns and peer support while increasing access

00:26:02.589 --> 00:26:06.210
to confidential treatment options, which that's

00:26:06.210 --> 00:26:08.849
already kind of being done and there's research,

00:26:08.930 --> 00:26:10.509
a lot of research being done in those areas,

00:26:10.589 --> 00:26:12.569
but I just want to encourage that and say the

00:26:12.569 --> 00:26:14.849
data supports it. We need to continue to increase

00:26:14.849 --> 00:26:19.180
it. The third was to enhance cultural competence

00:26:19.180 --> 00:26:21.460
by training providers and culturally tailored

00:26:21.460 --> 00:26:25.119
care. We know that, you know, individuals that

00:26:25.119 --> 00:26:28.460
come in that maybe had a sheltered life or they've

00:26:28.460 --> 00:26:31.099
had limited exposure to different cultures with

00:26:31.099 --> 00:26:34.359
ethnicities or races are less likely to have

00:26:34.359 --> 00:26:37.039
a strong relationship with individuals of different

00:26:37.039 --> 00:26:41.089
races and ethnicities. And so what we recommend

00:26:41.089 --> 00:26:44.210
is focusing on these specific needs of minority

00:26:44.210 --> 00:26:46.890
veterans and female veterans because that's going

00:26:46.890 --> 00:26:49.089
to help build up these providers by training

00:26:49.089 --> 00:26:51.470
them appropriately on how to interact and engage

00:26:51.470 --> 00:26:55.009
with most effectively. And the fourth one was

00:26:55.009 --> 00:26:58.049
to improve access by standardizing trauma -informed

00:26:58.269 --> 00:27:01.009
integrated care models by expanding telehealth

00:27:01.009 --> 00:27:04.450
services. So we strongly believe there's a lot

00:27:04.450 --> 00:27:06.490
of research out there that shows that this is,

00:27:06.490 --> 00:27:08.210
it already works, and you can see a lot of that

00:27:08.210 --> 00:27:10.430
in my literature review. You can see it out there

00:27:10.430 --> 00:27:13.529
by yourself and your own research just by showing

00:27:13.529 --> 00:27:16.789
and exploring a little bit that integrated care

00:27:16.789 --> 00:27:19.509
models and telehealth services are really opening

00:27:19.509 --> 00:27:22.329
doors that weren't there before for geographically

00:27:22.329 --> 00:27:24.589
displaced veterans that may have limited access

00:27:24.589 --> 00:27:28.940
to care. And then the fifth one, It also helps

00:27:28.940 --> 00:27:31.359
with the financial constraints as well. So it

00:27:31.359 --> 00:27:35.819
does help mitigate the high financial constraints

00:27:35.819 --> 00:27:39.140
of treatment from facilities when you can do

00:27:39.140 --> 00:27:42.220
some of it from home. And then the last one here

00:27:42.220 --> 00:27:45.519
was I recommended to address disparities by targeting

00:27:45.519 --> 00:27:48.279
outreach efforts for minority and low income

00:27:48.279 --> 00:27:51.519
veterans and kind of debunking myths, which I

00:27:51.519 --> 00:27:53.259
know we're already working towards that, but

00:27:53.259 --> 00:27:55.720
we're not quite there with a consistent message

00:27:55.720 --> 00:27:58.299
across the nation. And we just need to strengthen

00:27:58.299 --> 00:28:00.839
partnerships between the VA and community organizations,

00:28:01.400 --> 00:28:03.160
which once again, the VA is really working hard

00:28:03.160 --> 00:28:05.539
to do this. We're just not quite there yet. We

00:28:05.539 --> 00:28:07.539
just got to continue to advocate and push that

00:28:07.539 --> 00:28:10.700
needle because as we see in research across the

00:28:10.700 --> 00:28:12.640
board from many colleagues and individuals out

00:28:12.640 --> 00:28:14.480
there doing this kind of work, that there's more

00:28:14.480 --> 00:28:17.680
to do. Well, what's again, I'll go back to we

00:28:17.680 --> 00:28:21.000
all have a gut feeling on some of this and and

00:28:21.000 --> 00:28:24.220
hey, we need to get our veterans who have substance

00:28:24.220 --> 00:28:27.269
use disorders in the treatment. Well, we may

00:28:27.269 --> 00:28:29.309
have that gut feeling, wow, this is a barrier,

00:28:29.390 --> 00:28:31.289
that's a barrier. That's why it's nice to have

00:28:31.289 --> 00:28:34.549
the research done and have, you know, give some

00:28:34.549 --> 00:28:37.470
support to gut feeling or changing in that gut

00:28:37.470 --> 00:28:42.710
feeling. We've been talking to Robert Neer, a

00:28:42.710 --> 00:28:47.130
PhD, airborne artillery man, U .S. Army for,

00:28:47.230 --> 00:28:49.589
I think that's about five, six years. Couple

00:28:49.589 --> 00:28:53.650
of overseas deployments and afterwards made his

00:28:53.650 --> 00:28:55.869
way all the way up through the academic roster.

00:28:56.250 --> 00:29:00.109
to ultimately get a doctorate, and this is some

00:29:00.109 --> 00:29:03.190
of the dissertation research that he's done.

00:29:05.069 --> 00:29:07.250
Robert, did you finish this up where you thought

00:29:07.250 --> 00:29:09.769
it was gonna go, or did it give you like, oh,

00:29:09.769 --> 00:29:13.990
I wasn't expecting that? You know, it was very

00:29:13.990 --> 00:29:16.170
in line with current low literature that's out

00:29:16.170 --> 00:29:19.369
there. There was a few findings that were really

00:29:19.369 --> 00:29:22.670
interesting that we had discussed throughout

00:29:22.670 --> 00:29:25.750
this time period. I was really hoping to see

00:29:25.750 --> 00:29:31.710
if I could expose the probability or likelihood

00:29:31.710 --> 00:29:33.769
that a combat veteran is going to seek treatment

00:29:33.769 --> 00:29:36.569
or not, when there's really not any significance

00:29:36.569 --> 00:29:39.630
in the study that I was able to find. But I would

00:29:39.630 --> 00:29:42.690
advocate for other researchers out there to maybe

00:29:42.690 --> 00:29:45.589
do more qualitative work, not necessarily all

00:29:45.589 --> 00:29:47.630
quantitative, like what was done in the study,

00:29:48.069 --> 00:29:50.930
so that we could really see. What are the perceived

00:29:50.930 --> 00:29:53.890
barriers? We're looking for that aha moment of

00:29:53.890 --> 00:29:56.509
how do we break down this wall and get people

00:29:56.509 --> 00:29:59.109
that need the help into the care they need so

00:29:59.109 --> 00:30:01.250
they can be productive members of society again.

00:30:01.569 --> 00:30:04.089
That's really all we're trying to do. Well, it's

00:30:04.089 --> 00:30:06.170
certainly a noble goal and we appreciate the

00:30:06.170 --> 00:30:08.650
time that you took today to talk to Veterans

00:30:08.650 --> 00:30:11.609
Radio listeners and explain a little bit of this

00:30:11.609 --> 00:30:16.740
to us. kind of reinforces some of our good feelings,

00:30:16.759 --> 00:30:19.180
Robert, here. I really appreciate the time that

00:30:19.180 --> 00:30:21.660
you gave us today, Bob. Yeah, thank you so much,

00:30:21.759 --> 00:30:23.660
Jim. I can't say enough how much I appreciate

00:30:23.660 --> 00:30:25.259
what you all do on the radio. I just love to

00:30:25.259 --> 00:30:27.460
listen and love to hear it, so keep up the good

00:30:27.460 --> 00:30:31.500
work and thanks for having me on. And I want

00:30:31.500 --> 00:30:33.279
to thank everybody for listening to Veterans

00:30:33.279 --> 00:30:37.099
Radio today. I am Jim Fossone. It's been a pleasure

00:30:37.099 --> 00:30:39.660
to be your host. I'm a Veterans disability lawyer

00:30:39.660 --> 00:30:42.480
at Legal Help for Veterans, and you can reach

00:30:42.480 --> 00:30:48.970
us at 800 693 -4800 or legalhelpforveterans .com

00:30:48.970 --> 00:30:51.950
on the web. You can follow Veterans Radio on

00:30:51.950 --> 00:30:54.990
Facebook and listen to its podcasts and internet

00:30:54.990 --> 00:30:59.589
radio shows by visiting us at veteransradio .org.

00:30:59.809 --> 00:31:03.529
That's veteransradio .org. We again want to thank

00:31:03.529 --> 00:31:06.569
our national sponsors, the National Veterans

00:31:06.569 --> 00:31:12.069
Business Development Council, NVBDC .org, Legal

00:31:12.069 --> 00:31:15.440
Help for Veterans, A Veterans Disability Law

00:31:15.440 --> 00:31:20.539
Firm with a national practice before the VA can

00:31:20.539 --> 00:31:24.220
help you on your claims and your appeals. It

00:31:24.220 --> 00:31:27.559
can be reached at legalhelpforveterans .com or

00:31:27.559 --> 00:31:34.900
1 -800 -693 -4800. And PuroClean, a leader in

00:31:34.900 --> 00:31:38.740
property emergency services. It's the paramedics

00:31:38.740 --> 00:31:42.519
of property damage. providing water damage remediation,

00:31:42.839 --> 00:31:46.500
flood water removal, fire and smoke damage remediation,

00:31:46.819 --> 00:31:50.599
mold and biohazard cleanups. You can reach them

00:31:50.599 --> 00:31:58.299
at pureclean .com or 800 -775 -7876. We also

00:31:58.299 --> 00:32:01.240
want to thank our local sponsors. This would

00:32:01.240 --> 00:32:07.059
include the Charles S. Kettles chapter of the

00:32:07.059 --> 00:32:09.920
Vietnam Veterans of America. That's chapter 310.

00:32:11.229 --> 00:32:15.490
VFW Graf O 'Hara Post 423, the American Legion

00:32:15.490 --> 00:32:19.470
Erwin Preskin Post 46 in Ann Arbor as well, the

00:32:19.470 --> 00:32:22.309
VA Ann Arbor Health Care System, and certainly

00:32:22.309 --> 00:32:25.390
the National Vietnam Veterans of America Association.

00:32:26.089 --> 00:32:28.710
You can be a sponsor by going to veteransradio

00:32:28.710 --> 00:32:33.109
.org, clicking on the About Us in our sponsors,

00:32:33.250 --> 00:32:36.230
and help us out. Keep this program alive for...

00:32:36.200 --> 00:32:40.980
the 21 and 22 years. Keep us going for another

00:32:40.980 --> 00:32:42.279
20. Thank you.
