Transcript:
0:0:0.0 –> 0:0:11.310
Jordan Cooper
We’re here today with Doctor Cheryl Clark, the executive director and Senior Vice president of the Massachusetts League of Community Health Centers Institute for HealthEquity Research, evaluation and policy.
0:0:11.440 –> 0:0:17.350
Jordan Cooper
Doctor Clark is also the associate chief of General Internal Medicine and primary Care at Brigham and Williams Hospital.
0:0:17.780 –> 0:0:19.290
Jordan Cooper
Cheryl, thank you so much for joining us today.
0:0:20.130 –> 0:0:21.630
Cheryl Clark
Thank you so much for having me, Jordan.
0:0:22.440 –> 0:0:34.390
Jordan Cooper
So, by way of background of our listeners, the Institute supports emancipatory research which aims to ensure that science benefits communities who bear the greatest human cost of longstanding health and equities.
0:0:34.600 –> 0:0:44.450
Jordan Cooper
Working alongside 52 community health centers across Massachusetts, more than 1,000,000 patients, they served the construct a new base of research knowledge to better address health disparities.
0:0:44.740 –> 0:0:58.40
Jordan Cooper
And today, Cheryl, the institute’s inaugural executive director, will be discussing the need for a data driven approach to help equity and public health, masturbatory research and widespread community collaboration to address health inequities.
0:0:58.470 –> 0:1:0.680
Jordan Cooper
So let’s get right into it.
0:1:0.830 –> 0:1:16.940
Jordan Cooper
We’re gonna start with a conversation on technology, which is defined as a strategic development and deployment of the technology and healthcare and health to achieve HealthEquity and it’s divided into 4 areas, workforce diversity, data trust, equity dashboards and transparent AI.
0:1:17.110 –> 0:1:20.460
Jordan Cooper
So Cheryl, like to turn it on over to you, please.
0:1:20.470 –> 0:1:21.440
Jordan Cooper
What would you?
0:1:21.480 –> 0:1:23.380
Jordan Cooper
What are you working on with tech equity?
0:1:23.390 –> 0:1:24.400
Jordan Cooper
Why is it important?
0:1:24.410 –> 0:1:25.40
Jordan Cooper
What is it?
0:1:25.200 –> 0:1:25.840
Jordan Cooper
Where are we today?
0:1:26.860 –> 0:1:27.510
Cheryl Clark
Fantastic.
0:1:27.520 –> 0:1:28.960
Cheryl Clark
Thank you so much for having me.
0:1:28.970 –> 0:1:32.430
Cheryl Clark
And you know, I would say I’m really excited for this conversation.
0:1:32.440 –> 0:1:44.70
Cheryl Clark
I don’t think that equity, I think it’s it’s more known you know now during the pandemic everyone starting to think a little bit more about fairness and bias in the way that we think about our data.
0:1:44.80 –> 0:1:48.970
Cheryl Clark
But it’s kind of an uncommon conversation, and so I’m really looking forward thing.
0:1:50.470 –> 0:1:54.320
Cheryl Clark
The other thing that I would say is I’m so excited to be here.
0:1:54.370 –> 0:2:19.0
Cheryl Clark
I’m at the real beginning of other work that we’re doing with the HealthEquity Institute, part of why the Institute was established is this truck to have these conversations which need to happen and into disciplinary circles and another sort of a bit of news, the institute work happens within what are called community health centers.
0:2:19.10 –> 0:2:41.150
Cheryl Clark
As you mentioned, we working for in Massachusetts working alongside 52 Community health centers that are that are serving patients across the state of Massachusetts, sort of almost a million sort of folks who in many cases are have low incomes.
0:2:41.160 –> 0:2:46.710
Cheryl Clark
So 83% are at 200% of the poverty level, or local work.
0:2:47.50 –> 0:3:12.740
Cheryl Clark
And so it’s really an opportunity to make sure that as we are thinking about what are the next steps for making sure that we close the gap along the lines of income along the lines of race, ethnicity, other issues, how do we make sure that we’re doing that work in partnership with to the Community Health Center movement, which really had its genesis in civil rights movement.
0:3:13.10 –> 0:3:21.160
Cheryl Clark
It was established in places like Mississippi and actually in Boston, not far from where I’m sitting today in a a neighborhood called Dorchester.
0:3:21.590 –> 0:3:33.140
Cheryl Clark
Those were the two initial community health centers that were put in place in many ways to overcome segregation and to provide a place for people to get healthcare, irrespective of their ability to pay.
0:3:33.570 –> 0:3:44.580
Cheryl Clark
And now there are hundreds of community health centers in every state, and there’s also an overarching body called the National Association of Community.
0:3:46.320 –> 0:4:3.10
Cheryl Clark
The exciting news is that the news director of Mac, the National Association of Community Health Centers, the CEO, is a physician named Dr Q3, and Doctor Reed has had a storage career on his work in government, has worked in industry.
0:4:3.240 –> 0:4:3.870
Cheryl Clark
IBM.
0:4:4.200 –> 0:4:4.920
Cheryl Clark
Yeah.
0:4:5.120 –> 0:4:10.460
Cheryl Clark
And is now the head of of that and he is the architect.
0:4:12.950 –> 0:4:13.110
Jordan Cooper
And.
0:4:12.600 –> 0:4:15.340
Cheryl Clark
And so the yeah. Uh.
0:4:15.260 –> 0:4:30.390
Jordan Cooper
So so I know that you’re working on emancipatory research, and as it relates to structural racism, I was wondering, you know, I think many of our listeners have heard about this, but aren’t exactly sure how Germany it is to the operations and their large health systems.
0:4:30.460 –> 0:4:33.10
Jordan Cooper
What are some of the issues that you’ve been working on to address?
0:4:34.50 –> 0:4:34.800
Cheryl Clark
Absolutely.
0:4:34.890 –> 0:4:43.680
Cheryl Clark
I want to tell you a little bit about equity before, but I had to sort of give you that preamble to to kind of give you a bit of understanding of where we’ve come with this.
0:4:47.450 –> 0:4:47.710
Jordan Cooper
Umm.
0:4:56.210 –> 0:4:56.470
Jordan Cooper
Umm.
0:4:43.690 –> 0:5:4.610
Cheryl Clark
But I do want it to describe idea of equity, and let’s talk about and that’s related, you know, so that the equity principles and wanted to give complete and do credit to queue to queue Reid for for sort of defining that and there are really 4 principles and I think this is where the conversation is uncommon.
0:5:4.660 –> 0:5:15.400
Cheryl Clark
You know, as you think about sort of what you need to make sure that the data that we use to make decisions about health, all that needs to have at least a couple of things.
0:5:15.410 –> 0:5:17.40
Cheryl Clark
So one is workforce diversity.
0:5:18.50 –> 0:5:18.300
Jordan Cooper
Umm.
0:5:18.150 –> 0:5:23.800
Cheryl Clark
You know the idea behind that is that the work that we do needs to be multidisciplinary.
0:5:23.850 –> 0:5:26.930
Cheryl Clark
You know it needs to make sure that we have lots of perspectives.
0:5:27.770 –> 0:5:30.920
Cheryl Clark
I will give you an example there.
0:5:31.30 –> 0:5:32.560
Cheryl Clark
There’s a sort of a famous paper.
0:5:32.570 –> 0:5:44.400
Cheryl Clark
And many folks who you are in the field may have heard about this, but there’s a paper that came out in science a couple years ago and part of what we need to do in population health.
0:5:44.410 –> 0:5:49.160
Cheryl Clark
We’re trying to make sure that people get the best care that they get nursing when they need it.
0:5:49.370 –> 0:5:58.920
Cheryl Clark
Is that you have to build algorithms to try to figure out who needs that care in a large sort of hair system.
0:6:0.180 –> 0:6:10.310
Cheryl Clark
The models were trained on cost so that you know people who cost the health system a lot would get referred to care in order to reduce those costs.
0:6:10.320 –> 0:6:17.520
Cheryl Clark
And that makes sense, unless you have the sense that cost and health are really different things.
0:6:18.10 –> 0:6:29.20
Cheryl Clark
What it wound up doing was introducing bias so that people who were African Americans and others who tend to use less care but who are sick weren’t getting referred for care.
0:6:29.310 –> 0:6:43.890
Cheryl Clark
And so part of what we need to do if we want to make technology so equity in in sort of technology a reality is making sure that we have plenty of expertise that we get diverse perspectives and that all that’s a part of it.
0:6:44.610 –> 0:6:53.320
Cheryl Clark
The other thing that I’ll sort of I’ll conclude before we start talking a little bit about emancipatory research is this idea of transparent AI.
0:6:53.650 –> 0:7:8.360
Cheryl Clark
I want to make sure that folks have heard about a study, just the preliminary information has been posted online that looks at large language models and when the there’s a collaboration between folks at UCSF and Harvard.
0:7:9.380 –> 0:7:11.930
Cheryl Clark
Uh put, um, uh.
0:7:11.970 –> 0:7:13.610
Cheryl Clark
Basically, stories.
0:7:13.620 –> 0:7:19.350
Cheryl Clark
Uh patient narratives and worked with large language models to do that.
0:7:19.800 –> 0:7:38.130
Cheryl Clark
There had already been so much training that a lot of the output had a lot of stereotypes, so that, for example, the majority of cases around a condition, a medical condition called sarcoid, it does tend to disproportionately affect, you know, African American women.
0:7:38.140 –> 0:7:40.620
Cheryl Clark
But all the cases were listed that way.
0:7:40.750 –> 0:7:50.350
Cheryl Clark
So if we want to achieve technically, we really have to do a lot more making sure that we work together and that is why we need emancipatory research.
0:7:55.180 –> 0:7:55.430
Jordan Cooper
Umm.
0:7:51.180 –> 0:8:9.970
Cheryl Clark
Um, the second question that you asked me is sort of, you know, what are we working on and how do we are we about that and you know part of what we mean when we say in math material search is do you think one is that you know we need to give ourselves accountable for actually trying to to solve these problems around an.
0:8:10.950 –> 0:8:17.740
Cheryl Clark
And the second is that we need to create space and community for people who have that lived experience to come together with experts.
0:8:17.750 –> 0:8:42.220
Cheryl Clark
We need to invest in communities and actually do the work where the implementation and I’ll give you one last piece around me just to kind of make it clear of a lot of health service does just describe, you know, differences between, umm, part of what, uh, we we talk about a lot.
0:8:42.230 –> 0:8:50.940
Cheryl Clark
It’s just the fact that women in the United States and black women in particular, I happen to identify as being African American, not die.
0:8:50.990 –> 0:8:53.590
Cheryl Clark
You know, at greater rates than other people.
0:8:53.600 –> 0:8:57.820
Cheryl Clark
And that our babies are smaller and issues.
0:8:58.410 –> 0:9:7.770
Cheryl Clark
I think the stats are like, you know, three times the risk for African American women than than others, like a thread of like 69400 thousand.
0:9:8.480 –> 0:9:11.690
Cheryl Clark
But that doesn’t mean a whole lot when it’s you.
0:9:11.980 –> 0:9:14.380
Cheryl Clark
And it was me and I told the story.
0:9:16.220 –> 0:9:28.840
Cheryl Clark
Sometimes it’s just kind of cathartic just to kind of get it out there, but it also is instructed umm, in many ways of my I am a an addition to being a DOC and SVP and all those titles.
0:9:29.150 –> 0:9:35.310
Cheryl Clark
I’m also a mom, and both of my kids were born on small and you. Really.
0:9:35.560 –> 0:9:38.290
Cheryl Clark
I got, you know, create healthcare, you know, great.
0:9:38.780 –> 0:9:43.470
Cheryl Clark
You know, attention to detail and we just didn’t have a lot on the office.
0:9:43.860 –> 0:9:51.830
Cheryl Clark
I wound up being OK and my kids are running around, so we’re very lucky, but they were born early and small and we don’t really know why.
0:9:52.560 –> 0:9:58.990
Cheryl Clark
So part of what we mean when we say mandatory research is that we’re taking this lived experience.
0:9:59.60 –> 0:10:13.390
Cheryl Clark
You know my experience, experience of folks who you have these outcomes and we’re trying to move ourselves, account pushing me off selecting the information that we need to try to understand these issues a bit better and to implement where they are.
0:10:15.560 –> 0:10:15.760
Cheryl Clark
Yeah.
0:10:14.400 –> 0:10:18.790
Jordan Cooper
Umm well, thank thank you for sharing those examples.
0:10:18.800 –> 0:10:21.210
Jordan Cooper
I think we you covered a lot of interesting ground.
0:10:21.740 –> 0:10:34.460
Jordan Cooper
I certainly was unaware of, well, umm, I guess some of the I was unaware about the the uncommon uh equity.
0:10:34.470 –> 0:10:34.860
Jordan Cooper
Well, I wanna.
0:10:34.870 –> 0:10:36.920
Jordan Cooper
I wanna talk actually about your particular example.
0:10:42.670 –> 0:10:43.360
Cheryl Clark
There really you.
0:10:36.930 –> 0:10:43.560
Jordan Cooper
Right now you just mentioned that you gave birth to two to your children who were small.
0:10:44.510 –> 0:10:46.240
Jordan Cooper
They were born early and they’re small.
0:10:46.250 –> 0:10:53.200
Jordan Cooper
I’m wondering if you’re suggesting that the reason that they’re born premature is because of your race.
0:10:53.210 –> 0:10:54.690
Jordan Cooper
Is that what you were suggesting?
0:10:55.960 –> 0:11:6.730
Cheryl Clark
I don’t think though, so that is what’s really interesting about this is that we know that women who are African American or anything increased risk, right.
0:11:7.160 –> 0:11:10.90
Cheryl Clark
And it’s hard to figure out why that might be so.
0:11:10.500 –> 0:11:17.470
Cheryl Clark
There are earlier data that actually look at women who, for example, are immigrants.
0:11:17.910 –> 0:11:18.160
Jordan Cooper
Umm.
0:11:17.580 –> 0:11:18.310
Cheryl Clark
You know who?
0:11:18.560 –> 0:11:20.930
Cheryl Clark
Same sort of label.
0:11:21.430 –> 0:11:21.810
Jordan Cooper
Umm.
0:11:20.940 –> 0:11:23.170
Cheryl Clark
You know the same sort of ethnic label or whatever it is.
0:11:23.180 –> 0:11:24.450
Cheryl Clark
And they don’t have that issue.
0:11:24.740 –> 0:11:28.280
Cheryl Clark
It’s really women who’ve grown up and are in the United States.
0:11:35.370 –> 0:11:35.650
Jordan Cooper
Umm.
0:11:42.20 –> 0:11:42.330
Jordan Cooper
Mm-hmm.
0:11:28.290 –> 0:11:50.570
Cheryl Clark
And so I think it’s it’s uncommon and again you know something that we’re all getting more comfortable talking about, but it there is something about the experience we talk about structural racism, this idea that our societies are really are structured on inequity and that there must be something there.
0:11:50.580 –> 0:11:52.600
Cheryl Clark
But it’s we have to go further.
0:11:52.670 –> 0:11:55.590
Cheryl Clark
We have to push ourselves to try to understand what is it.
0:11:55.600 –> 0:11:56.530
Cheryl Clark
You know what’s going on?
0:11:57.140 –> 0:11:58.190
Cheryl Clark
I’ll be honest with you.
0:11:58.200 –> 0:12:6.130
Cheryl Clark
You know, it’s a I had really well meaning colleagues and friends while I was pregnant, you know, discussing these issues with me.
0:12:6.140 –> 0:12:14.590
Cheryl Clark
But I want IT solutions you know as I was seeing my, you know, my older, you know little one like the numbers it’s not looking as great.
0:12:15.920 –> 0:12:16.130
Jordan Cooper
Uh-huh.
0:12:14.600 –> 0:12:17.70
Cheryl Clark
I wanted I wanted sense.
0:12:17.80 –> 0:12:21.390
Cheryl Clark
I wanted something to do, so I think that we need to have the data.
0:12:21.400 –> 0:12:34.630
Cheryl Clark
That helps helps us to think about prevention, but we also need a community to start thinking about, you know, what the what the solutions are, where we can actually implement those solutions and that’s what we mean when we say in master Jordan.
0:12:35.460 –> 0:12:44.910
Jordan Cooper
You you mentioned something interesting when you were talking about workforce diversity, about how there’s biases built into algorithms based on payer data.
0:12:44.980 –> 0:12:50.150
Jordan Cooper
For example, African Americans were sick and in need of care but weren’t getting it.
0:12:50.160 –> 0:12:54.70
Jordan Cooper
Therefore, they weren’t as expensive, and therefore we’re not getting the referrals they needed.
0:12:55.90 –> 0:12:57.870
Jordan Cooper
I think that’s an interesting example of.
0:12:58.300 –> 0:13:18.20
Jordan Cooper
I guess bias is correlated with race and algorithms, as wondering if you can provide a concrete example, have structural racism in large healthcare delivery systems because many of our listeners are are associated affiliated with large healthcare delivery systems and maybe asking themselves right now.
0:13:18.110 –> 0:13:21.600
Jordan Cooper
Well, what can they do to improve equity in their own institutions?
0:13:22.360 –> 0:13:23.690
Cheryl Clark
Yeah, I have to say.
0:13:23.700 –> 0:13:28.490
Cheryl Clark
And this is where we have to take a hard look at some of our practices.
0:13:29.40 –> 0:13:45.290
Cheryl Clark
I am really enjoying getting a lot more into the history of inequities and really thinking about the history of community health centers and how folks like Aaron Shirley.
0:13:45.300 –> 0:14:8.360
Cheryl Clark
You know, for example, physician who worked with Robert Smith to found the Community Health Center movement along with other physicians and how much they really work to to put policies in place that ended segregation, the ways that we are noticing now that care gets aggregated or really financial instruments.
0:14:8.570 –> 0:14:14.480
Cheryl Clark
We have to have very difficult conversations about prior prior approval processes.
0:14:14.490 –> 0:14:33.30
Cheryl Clark
You know what is it that we need to do to streamline this so that people so that we give the kind of care that people need, we have to have really, you know, hard conversations about how we want to provide uh financial instruments care.
0:14:33.80 –> 0:14:36.770
Cheryl Clark
And there’s still a 10 states that happened, expanded Medicaid.
0:14:52.200 –> 0:14:52.500
Jordan Cooper
Umm.
0:14:36.920 –> 0:14:54.590
Cheryl Clark
So as we think about what this looks like, structural racism is a broad term, but has really specific mechanism and a lot of them seem like really routine everyday, you know, natural parts of society, but they have disproportionate impact.
0:14:54.910 –> 0:15:3.800
Cheryl Clark
So if we want to see just our neighbors, our friends just have the kind of healthcare that we need, we have to take a look at things that we think are.
0:15:4.0 –> 0:15:4.150
Cheryl Clark
Yeah.
0:15:4.680 –> 0:15:7.920
Cheryl Clark
And look at their impact and and make those kind of change.
0:15:9.90 –> 0:15:22.740
Jordan Cooper
So I think many of our listeners are listening to this episode right now, maybe familiar with the idea that indigency is inversely correlated with health and a population level.
0:15:23.110 –> 0:15:40.340
Jordan Cooper
I think what maybe worth delving further into is how to improve the health of minority populations who are indigent compared to Caucasian members of the population who are also indigent.
0:15:40.350 –> 0:15:49.630
Jordan Cooper
So kind of controlling for socioeconomic status and trying to get at the structural racism that I believe is the focus of your research.
0:15:50.610 –> 0:15:51.340
Cheryl Clark
Yeah.
0:15:51.450 –> 0:15:52.500
Cheryl Clark
That’s, umm, I.
0:15:52.620 –> 0:16:8.720
Cheryl Clark
That’s really, I think an important point and what I would say is that at that’s also a part of what we think about when we talk about sort of emancipatory research that we need to establish sort of high priority population.
0:16:8.770 –> 0:16:19.480
Cheryl Clark
So that when we think about people who have been traditionally disadvantaged, you know, how do we think about conducting research that’s really centered on those priorities?
0:16:20.540 –> 0:16:34.790
Cheryl Clark
Part of what I find interesting and exciting is the fact that we’re now thinking a lot more about this term called social determinants of health or social drivers of health and learning how to connect and collect those data.
0:16:35.520 –> 0:16:52.250
Cheryl Clark
I am excited about a project it’s been some years now that we did with uh, a Community health centers that are affiliated with the Brigham and Women’s Hospital and my colleagues there helped to drive processes to try to do a full screen.
0:16:52.260 –> 0:17:3.380
Cheryl Clark
So asking patients questions about their social issues or their housing, their transportation, and then creating a scope of work and referring people for sure.
0:17:4.150 –> 0:17:16.140
Cheryl Clark
And we did that as a part of the early phase of account care organization implementation, Medicaid better in our state and we’re able to find that so many of our patients.
0:17:16.430 –> 0:17:36.750
Cheryl Clark
And this was in a community Health Center that was really geared to serve high priority patients that have that do have low income, but 75% of them had some sort of social issue and we were able to collect those data and we’ve been able to sort of track over time how that uh, it’s weird with health care.
0:17:36.760 –> 0:17:38.350
Cheryl Clark
You then of care.
0:17:38.740 –> 0:17:52.270
Cheryl Clark
And so part of what we need to do is to minute to collecting data, you know, at point of care that matters to people and then putting services into place and building networks and connections.
0:17:52.710 –> 0:17:56.540
Cheryl Clark
I will say two of the connections that I feel I’m really excited about.
0:17:57.340 –> 0:18:23.100
Cheryl Clark
We worked closely with an agency that has wrapped around services housing security, not to provide a case management and to provide a not to sort of housing rural, but also digging underneath and helping to support that people to figure out what some of those barriers are to being able to to increase their their ability to access housing.
0:18:23.470 –> 0:18:34.540
Cheryl Clark
And also we had our hospital have a a system of care for people who are also victimize victims of who are survivors of intimate.
0:18:36.220 –> 0:18:51.870
Cheryl Clark
So part of what I think what you’re saying is what I would recommend is just have to they really dig in to this idea of social determinants and social drivers and and do a lot more around.
0:18:55.330 –> 0:18:55.890
Jordan Cooper
Uh-huh.
0:18:55.930 –> 0:19:8.370
Jordan Cooper
So I think and and by the way for our listeners who aren’t aware, I believe Cheryl was just referring to something called the all of US Research program on social determinants of health task force.
0:19:8.490 –> 0:19:18.100
Jordan Cooper
For there were 60,000 surveys that were completed to map, for example, the prevalence of obesity in America, and I think that’s interesting insights, which you basically said.
0:19:18.690 –> 0:19:20.670
Jordan Cooper
There’s a variety of social determinants of health.
0:19:20.680 –> 0:19:28.430
Jordan Cooper
I think I remember learning that health for an individual is composed of is affected only.
0:19:28.440 –> 0:19:39.410
Jordan Cooper
I think by about 20%, by getting access to health care and the rest were are is affected by genetics, behavior and social economic determinants of health.
0:19:39.610 –> 0:19:52.620
Jordan Cooper
And I think focusing on those non care related issues is what I hear you saying has been improving equity I guess to wrap up this conversation because we’re approaching the end of this episode like to ask you a final question.
0:19:53.660 –> 0:19:59.510
Jordan Cooper
So suppose that right now you’re speaking to the Chief Information officer of a large healthcare delivery system.
0:19:59.620 –> 0:20:1.30
Jordan Cooper
What sort of information?
0:20:1.90 –> 0:20:12.700
Jordan Cooper
What sort of action is needed in order to address some of these socioeconomic drivers of health, particularly from the perspective of a health care delivery system?
0:20:12.710 –> 0:20:14.980
Jordan Cooper
I know you mentioned a CEO’s accountable care.
0:20:14.990 –> 0:20:21.240
Jordan Cooper
We’re animations, Medicaid, managed care organizations, some risk sharing, you mentioned payers and providers meeting together.
0:20:21.320 –> 0:20:34.490
Jordan Cooper
Where is there the financial incentive and or perhaps where is there an action that can be taken by provider networks where that would be justified financially that could help address HealthEquity and improve health outcomes for minority populations?
0:20:35.530 –> 0:20:36.320
Cheryl Clark
Absolutely.
0:20:36.510 –> 0:21:7.790
Cheryl Clark
I would say, UM, if there were one action that health systems can take is to invest in the ways that we prioritize primary care, that we invest in, making sure that people can access and get into care, and that while we have our patients and that we’re doing this, that we also invest in systems to partner with organizations that can help us to address these broader concerns around social drivers or social.
0:21:9.510 –> 0:21:13.830
Cheryl Clark
It’s been interesting to sort of see the field evolved so much.
0:21:14.100 –> 0:21:35.530
Cheryl Clark
There’s so many different ways of kind of getting data of using other strategies to to sort of understand social determinants, but I would say that a really important way to invest is also just making sure that we connect with people that we ask about the kinds of questions that are that are important to our population.
0:21:35.730 –> 0:21:45.960
Cheryl Clark
So hopefully I think as this field of all will find the right balance, but making that commitment to addressing social drivers and care is.
0:21:49.350 –> 0:21:51.780
Jordan Cooper
Well, thank you, Cheryl very much for our listeners.
0:21:51.790 –> 0:22:1.280
Jordan Cooper
This has been doctor Cheryl Clark, the executive director and Senior VP of the Massachusetts League of Community Health Centers Institute for HealthEquity Research, evaluation and policy.
0:22:1.830 –> 0:22:3.950
Jordan Cooper
Cheryl, I’d like to thank you very much for joining us today.
