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Child Study Center Grand Rounds 03.23.2021

June 08, 2021

The potential of using Machine Learning to collect and use Social Determinants of Health Information to Improve Health Equity

ID
6691

Transcript

  • 00:00Today, let me tell you what we
  • 00:03have in store for next week.
  • 00:05Another one that I'm very excited about.
  • 00:08Next week we're going to have our
  • 00:12next compassionate care routes.
  • 00:14And we're going to be talking about.
  • 00:16I don't have the title in front of me,
  • 00:19just coined it, but I think it
  • 00:22goes something along the lines of.
  • 00:25Actually, do you have that
  • 00:27the title on hand row?
  • 00:32While Roe looks for the title,
  • 00:33I can tell you that it's going to
  • 00:35be about the work that we're doing.
  • 00:37On eating disorders up on the on the
  • 00:39pediatric floors where we have been
  • 00:42absolutely overwhelmed by the number
  • 00:43of such presentations we usually have,
  • 00:46you know one or two every so often.
  • 00:49But as you will hear,
  • 00:51we've been literally flooded and overwhelmed,
  • 00:53and we're trying to make sense
  • 00:55of what that is,
  • 00:57and so we're going to have a
  • 00:59compassionate care rounds with
  • 01:01the clinicians from all stripes
  • 01:02of clinicians who have worked,
  • 01:04we're going to talk about a specific case.
  • 01:07But more broadly about what this means,
  • 01:10so it's going
  • 01:11to be very special,
  • 01:13and the title is too little.
  • 01:15Eating too many cases,
  • 01:16microdroplets of trust
  • 01:17toward national rehabilitate
  • 01:18nutritional rehabilitation.
  • 01:20Yeah, can you say it one
  • 01:23more time slowly?
  • 01:25I'm Mr too little.
  • 01:27Eating too many cases.
  • 01:29Microdroplets of trust?
  • 01:30Tord nutritional rehabilitation.
  • 01:33And there you have it,
  • 01:35and we're going to thank you, Rob.
  • 01:37And we're going to have a real,
  • 01:39wonderful multidisciplinary cast for that.
  • 01:41So, so that's next week.
  • 01:43But this week, you know I wanted
  • 01:45to introduce our wonderful speaker,
  • 01:47but Rob Liberal, just like ARM,
  • 01:49wrestled me, tackled me in fact,
  • 01:51and he said, no, you're not doing it.
  • 01:54I'm doing it.
  • 01:55So I said, OK Liberal,
  • 01:56if that's how you wanna do it.
  • 01:59But you know, kidding aside,
  • 02:00I am so grateful to Rob.
  • 02:03Who who really has just like I was
  • 02:05telling that Carol has been our paragon
  • 02:08of timeliness and and always being there,
  • 02:11I would say that Rob has been our
  • 02:14paragon of identifying important topics.
  • 02:17Wonderful speakers today is
  • 02:18the second of three wonderful
  • 02:21speakers the the first one that we
  • 02:23had with Reverend Amanda right.
  • 02:25I'm still seeing it in my in my mind's eye.
  • 02:29It was an incredible talk
  • 02:31and today by Charles he.
  • 02:33Permitted me to call him Charles, not doctor.
  • 02:36Centeio will not be an exception.
  • 02:38We're in for a real treat and I
  • 02:41will let my good friend rob the
  • 02:43master of making this connection.
  • 02:45Tell us about Doctor sent a place.
  • 02:48Rob
  • 02:48thank you. Doctor Martin.
  • 02:50The Yale Child Study Center is a very
  • 02:53special place I know this because
  • 02:55last week Doctor Martin and Doctor
  • 02:58Fernandez helped us bear witness to
  • 03:01that rich and fruitful tradition of
  • 03:03making the world a better place.
  • 03:05By honoring the legacy of our
  • 03:08dear and beloved Doctor Cohen.
  • 03:11Who through a series of lectures honored him.
  • 03:14And today it is my privilege to
  • 03:17introduce a very special person in
  • 03:21this very special virtual place who
  • 03:24has 1 foot in academia and the other
  • 03:28foot on the ground in the community,
  • 03:31making the world a better place.
  • 03:34And his name is the doctor Charles Centrio.
  • 03:38Today, Doctor Santio was shared with us a
  • 03:42lecture entitled understanding and reducing.
  • 03:45Racial inequality for COVID-19 vaccination.
  • 03:48Doctor Sentio is an assistant
  • 03:50professor at the Rutgers School of
  • 03:53Communication and Information in
  • 03:56the Department of Library Science.
  • 03:59He is also currently the Martin Luther King.
  • 04:04Visiting professor and scholar at
  • 04:07Massachusetts Institute of Technology.
  • 04:09His research focuses on improving chronic
  • 04:13disease outcomes for underserved populations.
  • 04:16He is particularly interested in
  • 04:19using both existing technology
  • 04:22such as smartphones and tablets,
  • 04:25and emerging technologies such as machine
  • 04:28learning to improve health outcomes.
  • 04:31He earned his PhD.
  • 04:33In health informatics from the University of
  • 04:37Michigan and while in pursuit of that degree,
  • 04:40he also earned a master's degree
  • 04:43in social work from University of.
  • 04:46Michigan and later acquired a
  • 04:48clinical license and social work.
  • 04:52He also received an MBA from U of M Ann.
  • 04:56Prior to that,
  • 04:57a BA in mathematics and computer science
  • 05:00at Central Connecticut State University.
  • 05:03Clearly Doctor Santio is a
  • 05:05musical intellectual.
  • 05:06He has an incredible gift to be
  • 05:09able to synthesize and assimilate
  • 05:11diverse bodies of knowledge in novel,
  • 05:14tangible and meaningful ways.
  • 05:16He is the author of numerous articles
  • 05:19and currently has a book chapter.
  • 05:22Under review in their Rutlidge Handbook
  • 05:24of Health Communication on the topic of
  • 05:27community based health interventions.
  • 05:29Will you please help me?
  • 05:32Welcome Doctor Charlson TL to
  • 05:34the Yale Child Study Center.
  • 05:39Thank you, thank you so much,
  • 05:41I appreciate it.
  • 05:42Thanks for the warm introduction.
  • 05:43Both Rosemary and Razan Rob,
  • 05:45I certainly appreciate it.
  • 05:46Thank you also for the an opportunity,
  • 05:49at least virtually any way to return
  • 05:51home to Connecticut where I grew up,
  • 05:53I was born in Hartford and I
  • 05:55grew up in Manchester before
  • 05:57venturing off to two other places.
  • 05:59So thank you again.
  • 06:00I'd like to start the talk by just
  • 06:03grounding our understanding or
  • 06:04developing a common understanding,
  • 06:06as I like to say for what health informatics.
  • 06:09Is there are various definitions out there?
  • 06:12This is 1 by Chuck Friedman
  • 06:14who's a professor that I had
  • 06:17at Michigan very commonly used.
  • 06:19So basically,
  • 06:20by definition it's important to
  • 06:21understand that health informatics
  • 06:23is definitionally interdisciplinary,
  • 06:25and what it really involves are
  • 06:27science domains or traditionally
  • 06:29kind of science domains as well as
  • 06:32application domains coming together
  • 06:33to support scientific inquiry and
  • 06:36problem solving, and that is about it.
  • 06:39So science domains include
  • 06:40information science where I come from.
  • 06:43In terms of my doctoral training,
  • 06:46computer science,
  • 06:46where my undergraduate training was
  • 06:49in along with various other sciences,
  • 06:52cognitive science, communication,
  • 06:53science, organizational science,
  • 06:54decision sciences,
  • 06:55and then application domains health.
  • 06:57Obviously for this population
  • 06:59includes community health,
  • 07:01Health Communication, health,
  • 07:02behavior, clinical care delivery,
  • 07:04bio medical informatics or bio medical study,
  • 07:07as well as social work and public health.
  • 07:11And I picked these domains because my works.
  • 07:15Tends to touch each of these areas,
  • 07:17so combining the application domain
  • 07:19and the science you get domain
  • 07:21informatics so health informatics,
  • 07:23biomedical informatics.
  • 07:24So that's just a way for you to
  • 07:27sort of decyfer when you hear
  • 07:29health informatics and that term,
  • 07:31this is the generally accepted definition,
  • 07:34but the bottom line is that people
  • 07:36are the users of health information,
  • 07:39so health informatics,
  • 07:40no matter where you are in terms
  • 07:43of the type of work that you do.
  • 07:46Ultimately points to that people, humans.
  • 07:48We interact with information and
  • 07:51that information can exert influence
  • 07:53on us as well as we exert influence
  • 07:56on it as we produce it OK.
  • 07:58Now,
  • 07:58common understanding what's HealthEquity.
  • 08:00I'll go this one through this one
  • 08:02a little bit quicker.
  • 08:04I'm I'm assuming that we probably
  • 08:06have more of a baseline understanding,
  • 08:09but basically it's about assessing
  • 08:11the differences in health status
  • 08:13between groups of people and those
  • 08:15groups can be defined by race or ethnicity.
  • 08:18That's a common sort of grouping,
  • 08:20and the grouping that I probably deal
  • 08:23with the most, but also importantly,
  • 08:25immigration status, disability,
  • 08:27gender, sexual orientation, geography.
  • 08:28And assets and I used the term Alice
  • 08:31now which stands for asset limited
  • 08:33income constrained an employed
  • 08:35SES is a common sort of bucket
  • 08:37for that or similar bucket,
  • 08:39but Alice is a term that I see used more
  • 08:42and more in the term I use now differences.
  • 08:45What does that mean?
  • 08:47Well,
  • 08:47differences include the extent.
  • 08:50Of a disease.
  • 08:51As well as impact,
  • 08:53so I don't want to take
  • 08:56us through FB 101 here,
  • 08:58but basically the prevalence
  • 09:00is the proportion of cases in a
  • 09:03population at a time, so incidences,
  • 09:06incidents conveys information about
  • 09:08the risk of contracting a disease,
  • 09:10whereas prevalence indicates
  • 09:12how widespread it is.
  • 09:14And in the context of COVID,
  • 09:16that's extremely relevant.
  • 09:17I think we've all heard some of these
  • 09:20terms released concepts as we've looked
  • 09:22at the Daily News on COVID updates.
  • 09:25Now just a little bit about equity,
  • 09:27I could cite many different examples
  • 09:29and I'll cite some later on.
  • 09:31But for those of us who work in equity,
  • 09:34and I've been working in
  • 09:36equity for about 15 years now,
  • 09:38Milwaukee is a city that's often used in
  • 09:40illustrating HealthEquity or health inequity.
  • 09:42It's a fairly segregated city
  • 09:44with a large black population,
  • 09:4540% in the city,
  • 09:47and then 17% in Metro Milwaukee.
  • 09:49And we don't quite understand why there
  • 09:51are some various theories out there,
  • 09:54but the point is that when you see
  • 09:56HealthEquity numbers illustrative
  • 09:58of a larger larger phenomenon,
  • 10:00you see Milwaukee quoted quite a bit so.
  • 10:04Infant mortality across the United States
  • 10:06for blacks is more than twice that of whites.
  • 10:09That's been the case for over a decade now.
  • 10:13And in Milwaukee,
  • 10:14as I've mentioned,
  • 10:14low SES households are three
  • 10:16and a half times more likely to
  • 10:18die in the first year of life.
  • 10:20So these sort of dramatic indicators,
  • 10:22again persistent.
  • 10:23This is before COVID became
  • 10:25part of our binocular.
  • 10:27These are persistent inequities,
  • 10:29and Milwaukee is a good place to
  • 10:32sort of illustrate these this data.
  • 10:34These facts and this.
  • 10:36These have been the case.
  • 10:38As I mentioned for over a decade now.
  • 10:43OK,
  • 10:43I want to also emphasize that HealthEquity
  • 10:46is a persistent human rights issue.
  • 10:50I need to assert that because there's
  • 10:53not universal agreement on this.
  • 10:55I read a few years ago when I was delving
  • 10:58more into policy that we fund our priorities.
  • 11:02I'll say that again,
  • 11:03we fund our priorities and HealthEquity
  • 11:06is not necessarily something that
  • 11:08has been funded.
  • 11:09I'm going to put a quote up here and if
  • 11:13we were in the room I'd ask for hands,
  • 11:15but I want to read this to you.
  • 11:18We are concerned about the constant
  • 11:20use of federal funds to support
  • 11:21this most notorious expression of
  • 11:23segregation of all forms of inequality.
  • 11:25Injustice in health is the most
  • 11:27shocking and the most inhuman because
  • 11:29it often results in physical death.
  • 11:31The quote more of the quote I see
  • 11:33no alternative to direct action and
  • 11:35creative nonviolence to create awareness,
  • 11:37to create, to create,
  • 11:38not creative nonviolence to raise
  • 11:40the conscious of the nation.
  • 11:41Sorry bout that.
  • 11:42I stepped over the last part.
  • 11:44Does anyone know who famously
  • 11:47said that in a speech?
  • 11:49I'm gonna move on here.
  • 11:51That's Doctor Martin Luther King Junior 1965.
  • 11:54Annual meeting of Medical
  • 11:56Committee for Human Rights.
  • 11:57So this notion of HealthEquity that
  • 11:59it exists going to get more to that
  • 12:02later and that it's important,
  • 12:04has been around.
  • 12:05This is not a new thing and
  • 12:07I want to make sure that we understand that.
  • 12:11So when I say persistent inequity,
  • 12:13I'm not talking about COVID.
  • 12:14I'm certainly not even talking
  • 12:16about the last decade or two
  • 12:18when this work has proliferated.
  • 12:19We've known about these
  • 12:21inequities for quite some time.
  • 12:23Now let's jump into the causes.
  • 12:25As you might imagine, summer unclear.
  • 12:27This is an interesting question.
  • 12:29What causes health inequities?
  • 12:31It seems may seem innocuous.
  • 12:33But part of what makes it complex is
  • 12:35that it brings together many academic
  • 12:37disciplines and many different theories,
  • 12:40many different approaches.
  • 12:41During my PhD study in Information Science,
  • 12:44I was exposed as you might imagine,
  • 12:46to several different academic
  • 12:48disciplines that are new to me.
  • 12:50As Rob mentioned, I was a mathematics
  • 12:53and computer science undergrad,
  • 12:54so my pathway to social
  • 12:56science was was long and Anan.
  • 12:59Winding.
  • 12:59However,
  • 12:59given my description of health informatics,
  • 13:02that's probably to be expected in
  • 13:04terms of the interdisciplinarity.
  • 13:06Of it,
  • 13:06so my interest in HealthEquity
  • 13:08was enhanced by my exposure to
  • 13:10developmental psychology literature.
  • 13:12This is literature that I'm sure
  • 13:14many in the crowd are familiar with,
  • 13:16specifically through one of my professors,
  • 13:19Daniel Keating, who I mentioned by name here.
  • 13:22One because he does wonderful work and two,
  • 13:25he's just an excellent professor in person.
  • 13:27I'm using his work here to explain
  • 13:29or try to answer the question
  • 13:32about what causes inequity.
  • 13:33Again, persistent inequity.
  • 13:35As I continue to to identify the root causes,
  • 13:39I find myself even reading more
  • 13:42literature and sociology, psychology,
  • 13:44even history to understand context.
  • 13:46So it's important if we're
  • 13:48going to ask this question,
  • 13:50we have to embrace different disciplines,
  • 13:53different people, different literature.
  • 13:54That's important now, the answers.
  • 13:57What are they?
  • 13:59They lie in two camps, essentially,
  • 14:02historically and contemporarily,
  • 14:04nature versus nurture.
  • 14:05We're probably very familiar
  • 14:07with the concepts.
  • 14:09Are certain groups biologically
  • 14:11or genetically predisposed to
  • 14:13the risk of certain conditions?
  • 14:16And their progression?
  • 14:17Or do social factors play
  • 14:19more of a role nurture?
  • 14:22For the Pearly early part,
  • 14:23I told you,
  • 14:24I've been reading a lot of history,
  • 14:25so for the early part of
  • 14:27our country's history,
  • 14:27nature was the prevailing belief.
  • 14:30The science was influenced by
  • 14:32the sentiments of the scientists.
  • 14:34This is still the case.
  • 14:36The psychologist Charles Thomas
  • 14:38in 1985 published a paper in part
  • 14:41that said quote science is a human
  • 14:44activity which is hardly neutral.
  • 14:46Objective or impartial?
  • 14:48So it's important that when
  • 14:49we talk about the science,
  • 14:51some of us imply the purity of it.
  • 14:54It's important for us to understand
  • 14:56that there are human beings behind
  • 14:59the collection of that data.
  • 15:01The analysis of that data,
  • 15:02the interpretation of that analysis,
  • 15:04and the dissemination of it.
  • 15:06After all, as an example,
  • 15:08using enslaved Africans as free
  • 15:10labor was in large part fueled by
  • 15:12the notion that certain groups were
  • 15:15genetically and biologically inferior.
  • 15:17I'll expound upon Dubois his work
  • 15:19in this area in a couple of slides,
  • 15:22but back to Keaton cheating.
  • 15:24He found he and others find
  • 15:26that nature and nurture
  • 15:28both play a role in outcomes,
  • 15:30so individual differences.
  • 15:31Cognitive, behavioral,
  • 15:33physical and mental health are patterned
  • 15:36by socioeconomic circumstances.
  • 15:38And that health outcomes are influenced
  • 15:40by many inter related factors.
  • 15:42So things like poor health status,
  • 15:44disease risk, risk factors and
  • 15:47limited access to health care.
  • 15:50Social determinants of health.
  • 15:51Stoc. Hi, I'm going to talk
  • 15:53about those quite a bit.
  • 15:55Those are primarily the drivers.
  • 15:58Now let's talk a bit about this.
  • 16:02Here how do we get from social?
  • 16:05Factors.
  • 16:06To outcomes, again,
  • 16:07an innocuous question on the surface,
  • 16:10but there's a lot going on underneath here.
  • 16:13OK. This arrow from social
  • 16:20circumstances to outcomes.
  • 16:23Is about predicting outcomes based on
  • 16:25social economic status or Sep sometimes
  • 16:28called social economic position.
  • 16:32So let me go and review this circle a bit.
  • 16:35I'm going to spend just a slide on
  • 16:37this circle, 'cause it's it really
  • 16:39gets at the heart of the answer to the
  • 16:41question about what causes inequity,
  • 16:43the interplay of nature and
  • 16:45nurture both of them play a role.
  • 16:47But the key questions again are what what
  • 16:50social predictors matter more than others?
  • 16:52And how do these predictors interact?
  • 16:56Do they relate to different outcomes
  • 16:58and what developed mechanisms
  • 16:59might explain this arrow?
  • 17:01Those of us who work with pathways clinical
  • 17:03pathways were really concerned with this.
  • 17:05How do we tie factors to two outcomes?
  • 17:08What's the pathway?
  • 17:11The short answer is we don't know really.
  • 17:14They're hard to separate.
  • 17:15You can imagine that it's really hard
  • 17:17to isolate someone's socioeconomic
  • 17:19position from where they live.
  • 17:21These social determinants are interplayed.
  • 17:23They're almost hopelessly connected,
  • 17:25and I don't mean hopeless as there's
  • 17:27no hope to do something about it.
  • 17:30I mean,
  • 17:30hopeless in terms of trying to segment them.
  • 17:33Segment them are very difficult.
  • 17:35However,
  • 17:36what we do know what has been demonstrated
  • 17:39is that as a whole social circumstances.
  • 17:42Have a gradient.
  • 17:44Here this is represented by
  • 17:47the arrow to outcomes.
  • 17:49Lower levels of socioeconomic
  • 17:51status and social economic position
  • 17:54uniformly are associated with lower
  • 17:56levels of virtually any measured
  • 17:59developmental health outcome,
  • 18:01and its most frequently
  • 18:04a linear relationship.
  • 18:06So these factors, demographics,
  • 18:09socioeconomic, residential.
  • 18:12Actually can predict.
  • 18:14Physical, mental, cognitive,
  • 18:16and social competence is.
  • 18:19So the answer is nature and nurture,
  • 18:22but more specifically social factors,
  • 18:25social determinants of health actually
  • 18:27show linear relationships to outcomes.
  • 18:32Now let's go to COVID for a minute.
  • 18:36What's causing the COVID
  • 18:39inequities that we see well?
  • 18:42For people like me who have been
  • 18:44working in HealthEquity for over a
  • 18:46decade and there have been people who
  • 18:48have been doing this a lot longer than
  • 18:50I have before I learned how to spell
  • 18:52PhD point to these social factors.
  • 18:55So wouldn't it follow that social factors
  • 18:59are also exerting influence on COVID,
  • 19:03specifically risk of infection?
  • 19:05Risk of hospitalization and mortality risk.
  • 19:08Those are the three kind of markers
  • 19:11that have been used since the
  • 19:13beginning of the pandemic in terms
  • 19:15of the work that I've looked at.
  • 19:18Again, social factors for over
  • 19:20100 years social factors,
  • 19:21not genetic factors as was first
  • 19:24speculated have been described as primary
  • 19:26causal factors of health disparities,
  • 19:28and we also find them in COVID.
  • 19:31Risk of COVID infection,
  • 19:34hospitalization and death.
  • 19:35Just some more in terms of HealthEquity data.
  • 19:41African American and Native American
  • 19:43individuals have shorter life
  • 19:45spans and more illness than whites.
  • 19:48Hispanic immigrants initially tend
  • 19:50to have relatively healthy profiles,
  • 19:52but with increasing lengths of
  • 19:55stay in the United States,
  • 19:57their health tends to decline.
  • 19:59That's also true of immigrants
  • 20:02from African and Caribbean nations.
  • 20:06Now, in terms of COVID.
  • 20:09And think COVID social factors COVID
  • 20:11social factors by the end of the talk,
  • 20:13I hope that we're making that association.
  • 20:16Let's look at the Bronx, New York City.
  • 20:18Rob knows about the Bronx, don't you rob?
  • 20:21Familiar, the Bronx had the has the lowest
  • 20:23levels of income and education and highest
  • 20:26proportion of black and Hispanic persons
  • 20:28of any of the boroughs of New York.
  • 20:30It also had the highest rate of
  • 20:32COVID hospitalizations and deaths.
  • 20:35This is data as of September.
  • 20:38In contrast, Manhattan primarily
  • 20:40predominantly white most affluent
  • 20:41borough of New York City by far,
  • 20:44had the lowest rates of hospitalizations
  • 20:46and deaths related to COVID-19.
  • 20:49Although it had the highest population
  • 20:51density of any New York City borough.
  • 20:55Again, this is data as of September.
  • 20:58New York City reflects other
  • 21:00major US centers. For example.
  • 21:03Disproportionate death rates of black
  • 21:05persons in Chicago are concentrated in four
  • 21:08majority black neighborhoods, so we see.
  • 21:11Almost as data was being collected
  • 21:14around COVID racial disparities.
  • 21:18So let's go back a bit.
  • 21:19I told you I've been reading
  • 21:21a little bit about history.
  • 21:22I'm going to take you through
  • 21:24a little bit of this.
  • 21:25It's important to understand that
  • 21:27racial health inequity did not start.
  • 21:28Unfortunately,
  • 21:29nowhere that end with COVID.
  • 21:31But when did racial inequity emerging health?
  • 21:33Well, the answer is pretty clear.
  • 21:36Racial differences in health are
  • 21:38present at the very inception of health
  • 21:40records being kept in the United States.
  • 21:43Up until an through the Civil War in 1861,
  • 21:47physicians debated.
  • 21:48Physicians these are trained individuals.
  • 21:51Whether the already well known racial
  • 21:54disparities were due to biology.
  • 21:56Because blacks were inferior or
  • 21:58social factors because many blacks
  • 22:00were enslaved and lived in society.
  • 22:02Steeped in white supremacy,
  • 22:04steeped in white supremacy.
  • 22:05At the time,
  • 22:06the debate was rooted in politics
  • 22:08as anti slavery physicians,
  • 22:10which included the first generation
  • 22:12of black doctors,
  • 22:13argued that social factors were the drivers.
  • 22:16These factors at the time defined
  • 22:18the need for cheap labor and those
  • 22:21conditions were what determined
  • 22:22both the progression of disease.
  • 22:25And health status of enslaved blacks
  • 22:26in the South and impoverished blacks
  • 22:28in the north. This work was captured.
  • 22:31This biological versus social
  • 22:33debate was captured by Dubois and
  • 22:37his Seminole work the Philadelphia.
  • 22:39Now Dubois was a trained sociologist.
  • 22:42I think of him as the first
  • 22:46HealthEquity scholar in our country.
  • 22:49And he's also deeply,
  • 22:50deeply into epidemiology.
  • 22:51If I could talk to him,
  • 22:53I'd love to talk to him about his epic work.
  • 22:56'cause that's really what this is about as a.
  • 22:59I read this book before I learned how to
  • 23:02spell PhD and then I reread it after.
  • 23:05And it's a book about epidemiology.
  • 23:07Essentially.
  • 23:07Now why am I bringing it up here?
  • 23:10He can't rasted the biological point
  • 23:12of view and his observation that.
  • 23:15Uh, that social factors?
  • 23:17Were in the vastly different conditions
  • 23:21were at play, and I'm putting up.
  • 23:24US knows that this is the
  • 23:26I submit that Dubois is
  • 23:29important to public health.
  • 23:31United States ice snow is to to
  • 23:34public health around the world.
  • 23:36This is the famous water spicket
  • 23:39that London physicians know.
  • 23:40I identified was the cause of cholera.
  • 23:43This kind of launched modern epidemiology.
  • 23:47And I think that this work the
  • 23:49Philadelphia is approach is as
  • 23:51important in terms of racial equity,
  • 23:53both in the United States and beyond.
  • 23:58So Dubois argued that social
  • 24:01advancements and vastly different
  • 24:03living conditions were the causes
  • 24:06of the known 1899 known racial
  • 24:09differences in health outcomes.
  • 24:11Now one more on Dubois.
  • 24:13Before I leave what he pointed out,
  • 24:15I pulled this quote from the Philadelphia
  • 24:17and I think it's really important.
  • 24:20I alluded to this earlier when I talked
  • 24:22about we fund our priorities again,
  • 24:24we fund our priorities.
  • 24:26The most difficult social problem
  • 24:28in the matter of health is the
  • 24:30peculiar attitude of the nation
  • 24:32towards the well being of the race.
  • 24:35There have been few other cases in
  • 24:36the history of civilized peoples
  • 24:38where human suffering has been viewed
  • 24:40with such peculiar indifference.
  • 24:441899 Let's go back to social determinants.
  • 24:49I want to ground us in a common
  • 24:51understanding as I did for health
  • 24:52informatics and for HealthEquity.
  • 24:56And we see here what Dubois observed.
  • 25:00Social advancement vastly
  • 25:02different living conditions.
  • 25:04Stop one moment Sir.
  • 25:06OK, there are five central
  • 25:09social determinants of health.
  • 25:11Economic stability, education,
  • 25:13social and community context,
  • 25:15health and health care,
  • 25:17neighborhood and built environment.
  • 25:19And this. Diagram.
  • 25:22From the Institute of Medicine.
  • 25:24Helps articulate.
  • 25:27Illustrate their interplay there all.
  • 25:31They all can play a role.
  • 25:33And some can play the role
  • 25:35of role more than others for
  • 25:37group for certain groups.
  • 25:38But the point is in trying
  • 25:40to isolate causal factors.
  • 25:41This is perhaps what makes pathways
  • 25:44so difficult to definitively describe
  • 25:46is that they are all at play and
  • 25:48they can be a play at different
  • 25:50times for different individuals.
  • 25:52So these are social determinants.
  • 25:57And these determinants have been
  • 25:59articulated for various groups.
  • 26:01I've mentioned black.
  • 26:03I've mentioned Latin ex but also Haitian.
  • 26:07Afro Cuban Trinidad Ian
  • 26:09Appalachian Poor Asian Americans,
  • 26:11older adults, immigrants,
  • 26:12individuals with disabilities,
  • 26:14Native Americans.
  • 26:15It goes on prisoners as well.
  • 26:20Social determinants of health
  • 26:22of health are not like gravity.
  • 26:25They're not some natural law
  • 26:27that just sort of happens.
  • 26:29They are the drivers and the result of
  • 26:32institutions that create and sustain them.
  • 26:34They are populated these institutions
  • 26:37by individuals who either actively make
  • 26:39decisions to maintain an equity or perhaps.
  • 26:42More commonly, they passively
  • 26:44maintain an equity by simply looking
  • 26:46the other way by not caring quite
  • 26:48enough for the least of these.
  • 26:49Back to Dubois is quote.
  • 26:52When I first started started
  • 26:54studying health inequity,
  • 26:55I thought the healthcare system was broken.
  • 26:58Maybe not.
  • 26:59Perhaps like the criminal justice system,
  • 27:02it's working as intended.
  • 27:03Deanna Hoskins has seen the senior policy
  • 27:06advisor for the Department of Justice,
  • 27:08Bureau of Justice Assistance is noted.
  • 27:12The criminal justice system is not broken.
  • 27:14It is operating just as
  • 27:16it's designed to operate.
  • 27:18The cost,
  • 27:18perhaps some of you are familiar
  • 27:20with some of this data.
  • 27:21The cost of imprisonment in jail in
  • 27:23the past 20 years has grown as a faster
  • 27:26rate than any other state budget item.
  • 27:28It costs about $80.00 a
  • 27:30day to house an inmate.
  • 27:31And the United States spends in excess of
  • 27:33$68 billion a year on corrections federal,
  • 27:36state and local.
  • 27:36I point this out because we should never
  • 27:39assume that we're all united in our
  • 27:41desire to eliminate racial inequity.
  • 27:43I never assumed that.
  • 27:46This is uphill. It's a noble fight.
  • 27:48But there's a slope.
  • 27:52To that line?
  • 27:54OK, social determinants of
  • 27:55health impact everyone,
  • 27:56but not everyone equally important
  • 27:58point here. It can impact all groups.
  • 28:02But children in particular
  • 28:04are especially vulnerable.
  • 28:06Why well?
  • 28:09Askeaton, another seven have taught
  • 28:11me in terms of developmental.
  • 28:13Children are especially vulnerable
  • 28:14because the physical,
  • 28:15social and emotional capabilities
  • 28:17that develop early in life,
  • 28:18which many of you are well steep,
  • 28:21provide a foundation for life,
  • 28:22course health and well being.
  • 28:26As I mentioned,
  • 28:27developmental scientists have settled
  • 28:28on the nature versus nurture debate,
  • 28:31both in concert matter.
  • 28:32But how they interact with the course
  • 28:35of development is still being described.
  • 28:37What we do know,
  • 28:39as I mentioned with Keating's work.
  • 28:41But important nature,
  • 28:43nurture interactions occur during
  • 28:44early childhood development that set
  • 28:47a course throughout someone's life.
  • 28:52I'd like to also point out that
  • 28:55systematic racism and colorism colorism
  • 28:57prejudice or discrimination against
  • 28:59individuals with dark skin tone.
  • 29:02Among people of the same ethnic group.
  • 29:05Are types of determinants which
  • 29:06do not impact groups equally.
  • 29:08So while social determinants impact all
  • 29:10of us, they don't impact us all equally.
  • 29:12Much like Kovit,
  • 29:13I remember early in the pandemic
  • 29:15where COVID is affecting us all.
  • 29:17We're all being affected by kovid.
  • 29:19That's largely true,
  • 29:20but it's not affecting us all equally,
  • 29:22and that was brought home to me
  • 29:24more than at any other time.
  • 29:26When I was freaked out like the rest of
  • 29:29us have even walking out the door and
  • 29:32going to the grocery store was an adventure.
  • 29:36And anxiety.
  • 29:38Yet when I talk on the phone with one
  • 29:40of a friend I've had since 7th grade.
  • 29:42Ann, I said you're out,
  • 29:43what are you doing out? And it hit me.
  • 29:46He's a mailman. He delivers the mail.
  • 29:50He didn't have a choice.
  • 29:52He was essential. And the people
  • 29:55that we walked by in grocery stores,
  • 29:57stocking shelves, essential workers.
  • 29:58So we have to keep in mind that
  • 30:01this pandemic and these determinants
  • 30:03don't affect us all equal.
  • 30:04And that's important for us
  • 30:06to keep in mind me include.
  • 30:07OK, structural inequities.
  • 30:09I've mentioned that what are they?
  • 30:12Well, they're important 'cause
  • 30:15they undergird these drivers.
  • 30:17They are the personal interpersonal
  • 30:20institution and systematic drivers excuse me,
  • 30:23such as racism, sexism,
  • 30:25classism, ableism, xenophobia,
  • 30:26homophobia,
  • 30:27that make those identities salient
  • 30:29to the fair distribution of
  • 30:32health opportunities and outcomes.
  • 30:36I want to point out here that there's a
  • 30:40distinction in the American narrative.
  • 30:42As you might imagine in the
  • 30:45summer after Memorial Day.
  • 30:47I was asked to talk to different groups
  • 30:50in ways that I hadn't before about
  • 30:53racial justice, and I'm not a race
  • 30:56researcher by training or by identity.
  • 30:58However, I do research and equity.
  • 31:01I'm a person of color,
  • 31:03therefore I bring myself to my work.
  • 31:06So. What I so I did some homework
  • 31:09so more reading of history,
  • 31:11which has been extremely illuminated,
  • 31:13instructed from.
  • 31:15And I uncovered that there was a
  • 31:17prevailing and Eric American narrative
  • 31:19that draws a sharp line between
  • 31:21the United States past and present.
  • 31:25So within 60s and 70s marking a crucial
  • 31:28before and after moment in that narrative,
  • 31:32the narrative is search asserts
  • 31:34that until the 1950s, U.S.
  • 31:36history was shaped by the
  • 31:38impacts of past slavery.
  • 31:40American Indian removal,
  • 31:41lack of rights for women,
  • 31:43Jim Crow segregation periods of
  • 31:46nativists restrictions on immigration,
  • 31:47and waves of mass deportation of
  • 31:50Hispanic immigrants, eugenics,
  • 31:51the internment of Japanese Americans,
  • 31:54Chinese exclusion policies.
  • 31:56The criminalization of homosexual acts
  • 31:59and more so think 50s pre 50s this past.
  • 32:03And then after the 1950s.
  • 32:06We had this rush to the present
  • 32:09civil rights women's liberation,
  • 32:11gay rights, disability rights movements,
  • 32:13and their aftermaths.
  • 32:14May have contributed or be contributing
  • 32:17to this narrative that social,
  • 32:20political, and cultural institutions
  • 32:21have made progress towards equity,
  • 32:23diversity and inclusion.
  • 32:25DI it's a thing.
  • 32:28Highlights include the Civil Rights
  • 32:30Act of 64 Voting Rights Act of 65,
  • 32:32Fair Housing Act.
  • 32:34Title 9 American with Disabilities Act.
  • 32:38Even the Affordable Care Act.
  • 32:41And most recently, the Supreme Court
  • 32:43case that legalized marriage equality.
  • 32:46United States.
  • 32:47Yes, that was progress.
  • 32:49That is progress.
  • 32:50However,
  • 32:51when we look at remaining persistent
  • 32:54structural inequity.
  • 32:55I'd like us to reconsider
  • 32:58that before after narrative,
  • 33:00even after what I call this past summer
  • 33:03of radical racial reconciliation.
  • 33:06How much of that energy will be
  • 33:08sustained and how will we know
  • 33:10what indicators might we use
  • 33:12'cause from a health standpoint,
  • 33:14I'm still looking for evidence of that.
  • 33:17Sharp distinction.
  • 33:24Persistent racial inequity suggests
  • 33:25that the distinction is not so good.
  • 33:30OK, causes of racial inequity.
  • 33:32I alluded to this a little earlier.
  • 33:34For kovit or similar to the
  • 33:37causes of persistent inequity
  • 33:38for common chronic conditions.
  • 33:40So I cited some data earlier
  • 33:43about racial inequity,
  • 33:44and we see that the structural social
  • 33:47factors exert have exerted are
  • 33:49exerting their influence on COVID-19.
  • 33:51Again, risk of infection
  • 33:53hospitalization and death,
  • 33:54and that shouldn't shock us right?
  • 33:57Wouldn't it wouldn't be surprising if we
  • 34:00found that somehow these structural factors,
  • 34:03which are by definition structural.
  • 34:05Wouldn't be exerting an influence
  • 34:07on covert outcomes for me early
  • 34:09in the pandemic and I'll talk a
  • 34:11little bit more about where my work
  • 34:13is today and where it's headed.
  • 34:15I saw a crisis room. Because these
  • 34:20structural factors are structural.
  • 34:22So what we found in some early data.
  • 34:24This is a Banga is a wonderful
  • 34:27mentor of mine.
  • 34:28He's at the university.
  • 34:30He's at NYU.
  • 34:31School of Medicine does some
  • 34:33wonderful work in population health.
  • 34:34Published in JAMA in September.
  • 34:37Addressing some of it questions
  • 34:39about genetic predisposition
  • 34:40predisposition to COVID infection,
  • 34:42they ask that was out there
  • 34:44reasonable questions to ask.
  • 34:46But are people of color
  • 34:48genetically predisposed?
  • 34:49The questions were asked and answered
  • 34:51by Gbenga and others that yes,
  • 34:54social factors like greater proportion
  • 34:56of essential jobs like my friend,
  • 34:58my lifelong friend who delivers the mail
  • 35:01continues to deliver the mail everyday.
  • 35:04Never missed a day of work.
  • 35:07Number of people in the household.
  • 35:09Multi generations in the household,
  • 35:11the things that we know
  • 35:13predispose you to COVID risk.
  • 35:15Also exert their influence
  • 35:17disproportionately on people of color.
  • 35:24So just as medical care alone.
  • 35:27Has not rat eradicated
  • 35:29racial inequities in health?
  • 35:31Medical care alone will not
  • 35:34result in racial, ethnic,
  • 35:36ethnic inequities for COVID inequity.
  • 35:40So I, as I've been reading about vaccine
  • 35:42rollouts and I'll talk a little bit
  • 35:44about some of that data in a moment.
  • 35:47It occurred to me early
  • 35:48on that this is great.
  • 35:49Our bench scientists are going to work.
  • 35:52And God level yes, we need that.
  • 35:54Should create a vaccine.
  • 35:57And they get. However.
  • 36:01We also need the social scientists
  • 36:03to bring that.
  • 36:05Bench science genius to real.
  • 36:10OK, it's important to understand.
  • 36:11I'd like to discuss some
  • 36:13work that I'm I'm into now.
  • 36:15So early in the pandemic I
  • 36:17speculated that social determinants,
  • 36:18which I have been reading about
  • 36:21studying and writing about for
  • 36:22several years at that point.
  • 36:24Combined. With people of color
  • 36:27having high medical mistrust.
  • 36:30Which was an area that I hadn't
  • 36:32done much work in specifically.
  • 36:34Also, the proliferation of
  • 36:37misinformation and disinformation.
  • 36:40But it was vital to understand perceptions.
  • 36:43Particularly a future vaccine.
  • 36:45This is back in the fall or actually this
  • 36:48summer was going to affect behavior because.
  • 36:50Part of what I'm really interested in
  • 36:53is how do perceptions impact behavior?
  • 36:57To what degree do they?
  • 36:59Because they do.
  • 37:01So.
  • 37:03Given this high level of mistrust,
  • 37:06given all, by the way,
  • 37:08is an information scientist,
  • 37:09I must point out that misinformation
  • 37:12and disinformation or not the same.
  • 37:14They aren't synonyms, misinformation,
  • 37:15wrong disinformation,
  • 37:16deliberately wrong.
  • 37:17That's the new monik.
  • 37:18Just information deliberate.
  • 37:20They are not the same.
  • 37:22Some people just don't know or some sources
  • 37:24are not sure where as dis information is
  • 37:27a deliberate attempt to decieve DDD got it,
  • 37:29got the new mnemonic.
  • 37:30That's the one I use.
  • 37:32Use whatever one you wish.
  • 37:34So in the early summer.
  • 37:36Largely due to the perceptions
  • 37:38and beliefs I was hearing upon
  • 37:41my network of people of color.
  • 37:44About where this came from.
  • 37:46Who was responsible?
  • 37:47What's going to happen when a
  • 37:50treatment or a vaccine comes?
  • 37:52Exacerbated by miss and disinformation.
  • 37:54Remember back to the glorious
  • 37:56time last summer and last fall
  • 37:58and we were hearing all kinds of
  • 38:01things about all kinds of topics.
  • 38:03Some did some misinformation.
  • 38:05I thought that we might have
  • 38:09a crisis looming because.
  • 38:11Vaccines don't make us safe, vaccinations do.
  • 38:15So we need the bench scientists.
  • 38:18To help us.
  • 38:20Do their work to develop the vaccines,
  • 38:23but that's part of the journey.
  • 38:26What we're seeing now?
  • 38:28Are where social determinants may
  • 38:31exert their influence on vaccination.
  • 38:34Because vaccines don't make
  • 38:35us safe vaccinations.
  • 38:38So a key tenant that I wanted to.
  • 38:42Incorporate into this work which turned
  • 38:44into the COVID and race project.
  • 38:46The sites up is that intragroup
  • 38:47differences were important to investigate.
  • 38:49Largely in I mentioned earlier,
  • 38:51bring myself to my work.
  • 38:53I was when I, when I was trained,
  • 38:55I was trying to mix methods.
  • 38:57I do mixed methods work,
  • 38:59but in my qualitative training I
  • 39:01remember a particular lesson where it
  • 39:03says the qualitative researcher goes
  • 39:05in with an empty mind and an open mind,
  • 39:08but not an empty head.
  • 39:10An open mind, but not an empty head,
  • 39:12and that resonated with me 'cause
  • 39:14I bring myself to my work.
  • 39:15How can you not?
  • 39:16As a social worker,
  • 39:17I know that you bring yourself to your work.
  • 39:20You don't leave your experiences at the door.
  • 39:23Or before you get into your analysis
  • 39:25or before you start writing,
  • 39:26it comes with you.
  • 39:28Embrace it so I knew that black
  • 39:30people of color were different.
  • 39:33Rob and I may be people of color,
  • 39:35but that might be we have similarities,
  • 39:38but we also have distinctions
  • 39:39and differences.
  • 39:40So intergroup relations were
  • 39:42important for me to understand.
  • 39:44And there are.
  • 39:45Validated acculturation skills that
  • 39:47have been around for a couple of decades
  • 39:50to measure intergroup difference.
  • 39:52Because if we're going to create
  • 39:54an intervention,
  • 39:55or if we're going to target
  • 39:57a group that's at risk,
  • 39:59how do we possibly do that with just
  • 40:02having all the Asian Americans in one
  • 40:05group Latin X in another group, and?
  • 40:09Blacks in another.
  • 40:11So here's an opportunity to apply
  • 40:14acculturation scales for me in my work.
  • 40:17Anyway,
  • 40:17to to test the hypothesis that
  • 40:19intergroup differences would
  • 40:20help target health information
  • 40:22interventions and address potential
  • 40:24racial inequities in vaccination.
  • 40:25Again, at the time this was last May,
  • 40:29I was interested in a future vaccine.
  • 40:34Using mistrust and perceptions,
  • 40:35we could measure that that's what we do.
  • 40:37We ask questions and we try to measure
  • 40:40and that's what we do in research.
  • 40:42So what I did. Right in July, August,
  • 40:47when I started at MIT, I connected with
  • 40:51a behavioral economist at MIT, Dave ran.
  • 40:55Added some of his expertise given
  • 40:57he does online surveys all the
  • 41:00time that measure perceptions.
  • 41:03Again, this notion of interdisciplinary enter
  • 41:06discipline work is extremely important if
  • 41:09for in most cases I think I've heard of 1,
  • 41:13there's no traditional academic
  • 41:15Center for HealthEquity.
  • 41:17HealthEquity, just like the virus doesn't
  • 41:20care about your political leanings.
  • 41:22Equity work doesn't care about
  • 41:24what your doctorate isn't.
  • 41:26Or where your academic home is.
  • 41:29It's definitionally multidisciplinar,
  • 41:31so we combine and we have
  • 41:34run various experiments on.
  • 41:36We've established it, yes intragroup.
  • 41:40Racial perceptions do affect
  • 41:41COVID perceptions.
  • 41:42There's a strong.
  • 41:43This is preview now where where our
  • 41:46work hasn't been published yet.
  • 41:48We're submitting a research brief end
  • 41:50of this week early next that shows
  • 41:53that there's a strong correlation
  • 41:55where less acculturated participants
  • 41:57have more negative vaccine attitudes.
  • 42:00And this relationship is fully mediated
  • 42:01by suspicion in the health care system,
  • 42:03and that's something that all
  • 42:05of us should care about.
  • 42:06Those of us that touch patients
  • 42:08or do work that eventually does.
  • 42:11On the flip side,
  • 42:13less acculturated participants are more
  • 42:15likely also to have had themselves
  • 42:18family or friends hospitalised due to Kovit.
  • 42:21So it reveals differential exposure.
  • 42:24To harm from cobett
  • 42:33OK, so moving forward we are going to
  • 42:37run more experiments to try to refine and
  • 42:42finetune where perceptions connect to.
  • 42:46Behavior, intended behavior and outcomes,
  • 42:48and this is work that holds potential.
  • 42:52I hope long after COVID.
  • 42:56Or long after COVID is contained,
  • 42:57let me say that.
  • 42:59Because I think that there's quite an
  • 43:01opportunity for us to get a little
  • 43:03bit more refined and understanding
  • 43:05where perceptions influence
  • 43:07behavior which influence outcomes.
  • 43:09So what we're doing now,
  • 43:11we've applied for some funding
  • 43:13internally at MIT.
  • 43:14We've structured a project that
  • 43:16has two central objectives first.
  • 43:19We want to with a larger population measure,
  • 43:22hasn't vaccine hesitancy and its
  • 43:24underlying perceptions and beliefs in
  • 43:26order to develop messaging approaches to
  • 43:28help address the causes of his hesitancy,
  • 43:31it's no longer sufficient to just
  • 43:33say that people of color have
  • 43:36higher mistrust therefore.
  • 43:38I think that can be used as an excuse.
  • 43:42To shut down the efforts.
  • 43:44To reach people and meet them where
  • 43:46they are and also understand the
  • 43:48influence of structural factors like
  • 43:50social determinants which may be
  • 43:52presenting barriers to FactSet vaccination.
  • 43:54This is important because
  • 43:56there's emerging research.
  • 43:57That suggests.
  • 43:59That intention to receive a COVID
  • 44:02vaccine may be actually higher among
  • 44:04black Americans and other racial groups,
  • 44:07specifically white men.
  • 44:09May perhaps some of you have
  • 44:11seen some of this data.
  • 44:12This is a publish or it there was
  • 44:15a poll that NPR help sponsor about
  • 44:17a week and a half ago that found
  • 44:20that 73% of adult black Americans
  • 44:22intended to get the vaccine when
  • 44:24it became available again when
  • 44:26it became available to them.
  • 44:28Higher than white men who leaned
  • 44:32conservative or a Republican.
  • 44:35So it's important to understand these
  • 44:36inequities and that would be an equity
  • 44:38and equity that we would want to address,
  • 44:39or at least some of us would want to address.
  • 44:43So preliminary data suggests that.
  • 44:47Social determinants,
  • 44:48not just medical mistrust.
  • 44:51May explain racial disparities
  • 44:53in vaccination rates,
  • 44:55so we will solicit feedback on efforts
  • 44:57made to get insight or to get to get
  • 45:01vaccination to get further insights.
  • 45:04So we're hopeful that these insights will
  • 45:07will will help us address vaccination
  • 45:09disparities and just real quickly
  • 45:12here vaccination disparities by race
  • 45:14are or reported all over the country.
  • 45:17LA had a particularly interesting and
  • 45:20comprehensive view where, as of February.
  • 45:2214th you see the dramatic differences
  • 45:25in race according to vaccination.
  • 45:28Actual vaccination.
  • 45:31Somewhat ironically, people of color
  • 45:32are vaccinated at lower rates.
  • 45:33They are at highest risk.
  • 45:36OK, so in summary,
  • 45:38what I would like to do is posit that
  • 45:42provider credibility may have a link to.
  • 45:46Outcomes of behavior and outcomes.
  • 45:48I'm interested instead of or in addition to,
  • 45:52measuring medical mistrust.
  • 45:53I'd like to also measure
  • 45:55credibility of provider,
  • 45:56team health care system
  • 45:58to help define a pathway,
  • 46:00perhaps more definitively,
  • 46:02from credibility to health
  • 46:03behavior to outcomes,
  • 46:05and that could provide us with a
  • 46:08unique novel opportunity to address
  • 46:10racial equity and cost of care.
  • 46:12I add cost of care here because
  • 46:15depending on the audience.
  • 46:18As I alluded to earlier,
  • 46:20addressing racial inequity.
  • 46:21Does not necessarily hold
  • 46:23the day when the argument,
  • 46:25but when you combine the
  • 46:28human side of inequity,
  • 46:29reducing unnecessary suffering,
  • 46:31and the financial side,
  • 46:33reducing things like avoidable
  • 46:35hospital utilization through Ed
  • 46:37visits an unplanned admissions
  • 46:39that tends to capture most of
  • 46:41the audiences that I talked to,
  • 46:43either wonderful.
  • 46:44So collecting data among vulnerable
  • 46:47communities understand credibility to
  • 46:49measure its effect on behavior and outcomes.
  • 46:51We can then assign a credibility
  • 46:54index to healthcare institutions and
  • 46:56provider teams and start to really
  • 46:58test or continue to test how the
  • 47:01patient provider relationship may
  • 47:03influence health behaviors and outcomes.
  • 47:05We could start with vaccination,
  • 47:07but we could translate this to far
  • 47:11beyond other health behaviors.
  • 47:13So medical mistrust I would
  • 47:16posit is important,
  • 47:17but pathways are difficult to define.
  • 47:21And it actually points the finger outwards
  • 47:23towards individuals and communities,
  • 47:25suggesting that something
  • 47:26needs to be done to fix them.
  • 47:28We need to create an invention
  • 47:30to get their medical mistrust to
  • 47:32reduce their medical mistrust.
  • 47:34So they'll follow behaviors as recommended.
  • 47:36I submit that a credibility is more
  • 47:38of a inward look at the self to
  • 47:41try to figure out what we can do
  • 47:43to be more kredible clinicians in
  • 47:45terms of their touching patients
  • 47:47as well as health researchers
  • 47:49like myself to actually.
  • 47:51Understand what that what
  • 47:53behavior that might influence like
  • 47:55participation in health research.
  • 47:59OK, as I conclude here.
  • 48:02There are paths.
  • 48:04There are not pathways specific pathways
  • 48:07from perceptions like medical mistrust,
  • 48:10discrimination, everyday racism,
  • 48:12perceived racism in healthcare.
  • 48:14Yes, there's a validated.
  • 48:17Measure for perceived
  • 48:19racism in healthcare PRM.
  • 48:21That always strikes me as
  • 48:22we have a measure for that.
  • 48:24Which suggests that it might be a thing,
  • 48:27so we see that perceptions as
  • 48:30perceptions get more negative.
  • 48:32Health behavior like seeking care,
  • 48:34testing and screening.
  • 48:35I check hemoglobin, A1C,
  • 48:36check a cholesterol screens
  • 48:38go down and then outcomes,
  • 48:40like patients that go down.
  • 48:42And as and also behavior like drug use,
  • 48:46misuse, cigarette smoking,
  • 48:47HIV risk behavior goes up,
  • 48:49as does blood pressure,
  • 48:50risk inflammation, risk,
  • 48:52alcohol dependence.
  • 48:52So we see that there are some
  • 48:55associations if not pathways.
  • 48:57So credibility.
  • 48:58I would surmise is a novel way,
  • 49:00a valuable way to assess the
  • 49:03patient provider relationship.
  • 49:04Because it focuses on the source
  • 49:07of the mistrust.
  • 49:08Us and it provides insight to
  • 49:10refining some of these elusive
  • 49:12pathways and insights on how
  • 49:15perceptions influence behavior.
  • 49:17With that, I'll pause.
  • 49:18I'm going to keep this up that adipic,
  • 49:21the integration of these
  • 49:23various structural issues,
  • 49:24and I welcome your questions,
  • 49:26comments and rebuttals.
  • 49:29The only rebuttal that I have
  • 49:31for you Doctor Centeio is that
  • 49:33we want you again and again,
  • 49:35and again, and again and again.
  • 49:38This has been so extraordinary, and I
  • 49:40know there's going to be many questions.
  • 49:42I saw things popping up in the in the chat,
  • 49:45but I am so grateful and you
  • 49:47have touch on so many things.
  • 49:49I have questions but I I'll keep them.
  • 49:52Let's start with Belinda,
  • 49:53who had a couple of really hard
  • 49:55hitting wonderful questions.
  • 49:56Belinda
  • 49:56go for it. Yes, this was wonderful
  • 49:58and I'm sorry it wasn't my camera.
  • 50:00My grandchildren are here this week. But we'd
  • 50:04like to see him.
  • 50:07There's a play. But I have a question
  • 50:11about so as you were talking, Anne Anne.
  • 50:13I've been doing some research
  • 50:15and so forth for me.
  • 50:17I believe gentrification is a new form
  • 50:19of redlining, if that makes sense.
  • 50:21Because once a community is cleaned out,
  • 50:24you can't afford to go back into.
  • 50:26For example, is my sons God brother bought.
  • 50:29You know you St area in the
  • 50:3160s and DC it got burned down.
  • 50:34And so David bought a brownstone for
  • 50:37say 250 for DC goes for $2,000,000
  • 50:39or right about now is the tax rate.
  • 50:42So there's no way so the community
  • 50:45has totally changed and the other
  • 50:47part of that when we talk about the
  • 50:49social factors are they also still?
  • 50:52Attached to racism.
  • 50:53No, because it's a social construct
  • 50:55that where we struggle struggle with
  • 50:56some things for people of color.
  • 51:00Certainly yes, perceptions are
  • 51:02part of of social determinants and
  • 51:04perceptions do influence behavior.
  • 51:05Perceptions of maltreatment of discrimination
  • 51:07that I'm not being treated equally,
  • 51:10which is a foundational sentiment.
  • 51:11So that's one thing you don't have to wait.
  • 51:15You know this more than I do.
  • 51:17I actually was reading about
  • 51:19babies and water babies know.
  • 51:21And what do we have to teach them?
  • 51:24And there's an innate sense of
  • 51:26justice that were born with,
  • 51:28so I think that.
  • 51:29Even if you don't know all about
  • 51:31Tuskegee or you don't know all about
  • 51:34Doctor Marion Sims and what he did
  • 51:37with Anna Kahran other slave girls,
  • 51:39you have a sense for any quality
  • 51:41and part of why those kinds of
  • 51:44historical anecdotes are still
  • 51:45present is because the bias and
  • 51:47injustice is still present.
  • 51:52I'm trying to keep my answers short here.
  • 51:55You are doing great.
  • 51:57We really I I could listen to you
  • 51:59for hours and I know that there's
  • 52:01other people who have questions so.
  • 52:04Walter, I saw you active on the chat.
  • 52:07Amanda Detmer, Jose Pious,
  • 52:09Lilia Benoit, in no particular order.
  • 52:11But let's go for it.
  • 52:18OK, well they're being shy
  • 52:19while they're being shy.
  • 52:21I have a couple of questions.
  • 52:23First of all, I loved, loved,
  • 52:24loved your shout out to qualitative
  • 52:26methods and to the importance of people,
  • 52:29and I think that you said something you said
  • 52:32a couple I took a lot of notes by the way,
  • 52:35but you said this is a bumper sticker.
  • 52:38Vaccines don't make us safe.
  • 52:40Vaccinations do and that we have,
  • 52:42you know, warp, speed it ourselves
  • 52:44to this blessing of a vaccine.
  • 52:46But if we don't get it right through,
  • 52:49knowing what hesitation
  • 52:50and what people think,
  • 52:51and we're going to find out
  • 52:53through qualitative methods,
  • 52:54so, so thank you for that.
  • 52:56And and two,
  • 52:57maybe a inner baseball questions,
  • 52:58but you mentioned the group based
  • 53:00medical mistrust scale in the PRM,
  • 53:02the perceived racism and medical care
  • 53:04are those actual scales where their
  • 53:06concepts because their scales on them.
  • 53:08Yeah, they're
  • 53:09validated scales. Somehow.
  • 53:10I have a collection in my in my notes of
  • 53:13these scales that measure perceptions,
  • 53:14and these are validated scales much
  • 53:16like the acculturation skills.
  • 53:18I can email them to you, you wonder.
  • 53:22Yeah, and and and when I when I heard the
  • 53:24term warpspeed about vaccine development,
  • 53:27I thought that's that's great cool
  • 53:29warp speed that I thought oh I bet
  • 53:31social scientists weren't in the room
  • 53:33when you when they met like that
  • 53:35might not be good for all folks.
  • 53:38The fact that it's rushed right out there.
  • 53:41We need social too.
  • 53:42Absolutely. And you know we have a a social
  • 53:45question from Justin Justin. Go for it.
  • 53:49Thank you for that amazing
  • 53:50talk you mentioned.
  • 53:51Something about immigrants saying that
  • 53:53as they stay in America over time,
  • 53:55it seems like their health outcomes
  • 53:57start to resemble individuals.
  • 53:58I've been in America for who look
  • 54:01like them for a long period time.
  • 54:03Can you speak more on that?
  • 54:06Yeah, I can talk about how when
  • 54:09Caribbean immigrants specifically,
  • 54:10this is when I just have the top of my head.
  • 54:14I'm doing some work with the OR
  • 54:17proposing to work with the the National
  • 54:20Cancer Institute about prostate
  • 54:22cancer treatment and you find that.
  • 54:24And this is this is found fairly consistency
  • 54:27in the literature that the rates of
  • 54:30prostate cancer for Caribbean immigrant men.
  • 54:331st generation are lower
  • 54:36than subsequent generations.
  • 54:39So second generation immigrant health
  • 54:41status is much worse than first,
  • 54:43and it's like the Mexican or the
  • 54:45Latin American paradox, right?
  • 54:46So you get here and then I'll
  • 54:48get to why in a moment.
  • 54:50The short answer is we don't really know,
  • 54:53but there are a couple of important.
  • 54:57Sort of theories or or guesses,
  • 54:59let's say so.
  • 55:00Part of it is that to get here you
  • 55:03have to have a certain health status.
  • 55:06So there's this notion that the
  • 55:08people that are predisposed to
  • 55:10illness never make it to the shores,
  • 55:12never make it here,
  • 55:14so we're not getting a
  • 55:15representative immigrant population.
  • 55:17We're getting the people that make it here,
  • 55:20and that's not representative,
  • 55:21so that's part of an explicit
  • 55:23explanatory factor.
  • 55:24But what one of my wonderful
  • 55:26treasured mentors, James Jackson,
  • 55:28who passed recently?
  • 55:29When I was talking to him about some
  • 55:32of these equity issues and he was
  • 55:35finding that when when people got here,
  • 55:38their health status actually second
  • 55:40generation was was was lesser than what.
  • 55:43Why do you?
  • 55:44What could that be?
  • 55:46We don't know yet,
  • 55:47but what he did cause me to
  • 55:50think about what we discussed is
  • 55:52that the impact of what's called
  • 55:55weathering in the literature.
  • 55:57The repeated sort of burdens.
  • 55:59Trauma overtime actually wears
  • 56:01on your your biological systems,
  • 56:03your immune system,
  • 56:04your ability to sort of deal with
  • 56:08the the micro traumas of getting
  • 56:10through the day or viewing the OR
  • 56:13actually the trial of the officer
  • 56:16who kneeled on George Floyd's neck
  • 56:18and murdered him like just that.
  • 56:21Just think about what I was talking
  • 56:24to a colleague last summer who was
  • 56:27appropriately aghast at that imagery
  • 56:30that was flashed again and again and again.
  • 56:33On our screens and and it happened
  • 56:35to be a woman,
  • 56:36a white woman who told me like
  • 56:37that so terrible that's so true.
  • 56:39And I said,
  • 56:39how do you think it makes me feel as
  • 56:41the person who's been in the back of
  • 56:43a police car and spent the night in
  • 56:45jail because of over aggressive policing?
  • 56:47So if you're traumatized or outraged by that,
  • 56:50what might that do to people
  • 56:52that look like me?
  • 56:54Charter home articulation and
  • 56:56education and having a license and
  • 56:58registration isn't a protective factor.
  • 57:00I'm sorry under no no Charles.
  • 57:02Let let me
  • 57:03let me do this.
  • 57:04What we're going to do in in Rosemary.
  • 57:08We're gonna keep recording for a little bit.
  • 57:11We're going to close now formally
  • 57:13after Robla Brill's idea to you.
  • 57:15But if you are so kind of
  • 57:17Charles to stick around,
  • 57:19I know that some of us would
  • 57:22love to stay for the after.
  • 57:24Party but I wanna I want to
  • 57:26be mindful of peoples time.
  • 57:28This has been absolutely extraordinary
  • 57:30and I want to thank Rob Labrie.