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Racial Disparities in Diabetes Distress and Technology Use in Adolescents with Type 1 Diabetes

December 14, 2021
  • 00:00Hello everyone so I'm Annabelle I did the
  • 00:04alternative thesis project and so I was
  • 00:07able to develop a project and carry it out.
  • 00:09I'm with my advisors and I will be
  • 00:11presenting the manuscripts today so I
  • 00:13just want to thank my fellow Co authors,
  • 00:15Dr Venture I'm doctor Nally and my
  • 00:17advisor Dr Weinzimer without their
  • 00:19support throughout the whole process.
  • 00:22I definitely would not have made
  • 00:23it here today so I thank them for
  • 00:26their guidance and constant support.
  • 00:27OK so here's the outline of the
  • 00:30talk that I'll go through today.
  • 00:32So starting with some background information,
  • 00:34diabetes technology has advanced.
  • 00:36We now have continuous glucose monitors,
  • 00:39insulin pumps that connect to wireless
  • 00:42devices give real time glucose data
  • 00:44and all this technological advancement
  • 00:46is coming at a time where there's
  • 00:48also increasing prevalence of type
  • 00:50one diabetes and minority youth.
  • 00:51But despite this,
  • 00:53and despite knowing that diabetes technology
  • 00:55results in better outcomes lower anyone,
  • 00:57see by better glycemic control,
  • 01:00my minority youth are at higher risk
  • 01:02for work short term outcomes and also
  • 01:04less likely to be using this technology
  • 01:07to manage their glycemic control.
  • 01:09So study found that type one diabetes
  • 01:12exchange pressure registry found that
  • 01:13the odds of a white child being an
  • 01:15insulin pump or 3.6 times higher than
  • 01:17that of a black child and 1.9 times
  • 01:19higher than that of a Hispanic child.
  • 01:21So that really just shows you
  • 01:23the disparity that exists.
  • 01:24There's also a significant difference in
  • 01:26anyone see between the two racial groups.
  • 01:28Even when we control for
  • 01:30socioeconomic status.
  • 01:30So it seems like there's other
  • 01:33factors that are contributing to
  • 01:34this outside of socioeconomic status.
  • 01:36So the question that I wanted to
  • 01:38answer is what could be contributing.
  • 01:40So this disparity in technology
  • 01:42use anyone see?
  • 01:43And that racial and ethnic
  • 01:45minority adolescents?
  • 01:46So one thing that's been associated
  • 01:49with decreased adherence to treatment
  • 01:51recommendations and a suboptimal
  • 01:53anyone see his diabetes distress.
  • 01:55So this is a measure of the
  • 01:57negative emotions experience for
  • 01:59managing and living with diabetes.
  • 02:01It's thoughts.
  • 02:01We do.
  • 02:02The lack of understand from others
  • 02:03and just the daily demands of
  • 02:05living with a chronic illness.
  • 02:06So there's been no studies that have
  • 02:08directly compared diabetes distress.
  • 02:10Between non Hispanic youth or sorry
  • 02:12non Hispanic white youth and racial
  • 02:15and ethnic minority adolescents.
  • 02:17So the aim of this study was to describe
  • 02:19the differences in diabetes technology used,
  • 02:21IBS, stress and barriers to management
  • 02:23between adolescents with type one diabetes.
  • 02:26Specifically,
  • 02:26comparing between racial and ethnic minority
  • 02:29youth and then non Hispanic white youth.
  • 02:32Secondarily,
  • 02:32we also wanted to compare on the same
  • 02:34measures between those who are using
  • 02:36technology and not using technology,
  • 02:38and then also between adolescents and
  • 02:40their primary caregiver or parent.
  • 02:43So I hypothesize that diabetes distress
  • 02:45will be negatively associated with
  • 02:46diabetes technology use and will be
  • 02:48higher in the racial and ethnic minority
  • 02:50adolescents with type one diabetes.
  • 02:53And so quickly just to
  • 02:54go through the methods.
  • 02:55It was a cross sectional study design.
  • 02:57We used Qualtrics,
  • 02:58which is a HIPAA compliant software,
  • 02:59and the survey was given both
  • 03:02to parents and adolescents.
  • 03:03Inclusion criteria was type one diabetes.
  • 03:05But sorry, type one diabetes of at least
  • 03:08six months in between ages of 13 and 17.
  • 03:10And we recruited through email
  • 03:12and phone to patients at the
  • 03:14Yale Children Diabetes Center.
  • 03:16Used three scales to measure diabetes,
  • 03:18distress in various management for
  • 03:20the paid peed scale measures diabetes,
  • 03:22distress and adolescence.
  • 03:23They paid.
  • 03:24PR is the same,
  • 03:25but for parents and then the
  • 03:27prisms questionnaire identify
  • 03:28specific barriers to management,
  • 03:30so it is split into five
  • 03:32different categories.
  • 03:33Understanding and organizing care regimen,
  • 03:35pain and bother health care team,
  • 03:37family interactions and peer interactions.
  • 03:40And so each of these questionnaires
  • 03:41were given and they all have an
  • 03:43established cutoff point to measure
  • 03:45clinically significant diabetes.
  • 03:46Stress or as a barrier as a clinically
  • 03:49significant burden to diabetes management.
  • 03:52I'm sorry,
  • 03:53independent variables.
  • 03:53We separated the adolescents
  • 03:55into two groups based off of
  • 03:57their self identified race,
  • 03:58race and ethnicity.
  • 03:59So non Hispanic white group and then
  • 04:01the racial or ethnic minority group
  • 04:02adolescence identified both as white
  • 04:04as that minority were placed into
  • 04:07the minority group for analysis,
  • 04:09and then we made the following three
  • 04:10comparisons so non Hispanic white
  • 04:12versus minority diabetes technology
  • 04:14users versus non technology users
  • 04:16and so non or technology users was
  • 04:18using a CGM continuous Booklist
  • 04:19monitor and or an insulin pump put
  • 04:21them into the technology user.
  • 04:23And then parents versus adolescence.
  • 04:27We measured diabetes,
  • 04:29technology use diabetes outcome
  • 04:31variable SO81C DK and then the
  • 04:34diabetes distress and barrier
  • 04:36skills that I just went through.
  • 04:39And we used SAS for data analysis.
  • 04:44I'm set to go through the
  • 04:47results of the adolescents.
  • 04:48We had 45 complete the survey,
  • 04:5128 of who identified as non Hispanic white
  • 04:54and 17 as a racial or ethnic minority.
  • 04:57Comparing the demographics
  • 04:58between the two groups,
  • 04:59there was no significant difference in age,
  • 05:01income or insurance status
  • 05:02between the non Hispanic,
  • 05:04white and minority adolescents.
  • 05:05But it is important to note that
  • 05:08in our sample both groups had as
  • 05:11income on average higher than 75,000
  • 05:14and were most or most commonly
  • 05:15to have private health insurance.
  • 05:20So comparing the diabetes technologies
  • 05:22between our racial and ethnic groups,
  • 05:24there was no significant difference
  • 05:26in overall diabetes technology used.
  • 05:28So looking just at whether or not they
  • 05:30used any technology versus no technology.
  • 05:32But when we compare it,
  • 05:33specific diabetes technology combinations,
  • 05:35we did find a significant difference.
  • 05:38So the minority group,
  • 05:39which is highlighted in yellow and a
  • 05:41non spanic white which is in green.
  • 05:43They might already be for far less likely
  • 05:44to be using diabetes technology for both
  • 05:46aspects of their diabetes management.
  • 05:48So for using both the CGI Vanderpump.
  • 05:50And they were more likely to be using
  • 05:52technology for only one or the other.
  • 05:56We asked adolescents for reasons,
  • 05:57but behind nonuser discontinuation
  • 05:59of diabetes technology and in
  • 06:01the non Hispanic White Group,
  • 06:02it was exclusively due
  • 06:03to personal preference.
  • 06:04But in the minority group,
  • 06:05the reasons were a little bit more complex,
  • 06:08so they cited insurance coverage issues,
  • 06:10provider recommendations,
  • 06:11difficulty with the device,
  • 06:12or difficulty with diabetes management.
  • 06:17So comparing diabetes, distress and
  • 06:19outcome variables between the two groups,
  • 06:20there was a significant difference
  • 06:22in anyone see which is consistent
  • 06:23with previous literature.
  • 06:25So we're not or are minor minority group had
  • 06:27a higher A1C than honest panic White Group,
  • 06:30but there was no significant difference
  • 06:33in diabetes distress for any of the
  • 06:35barriers on the PRISM questionnaire.
  • 06:37However, there was a very high
  • 06:38overall rate of diabetes.
  • 06:39Distress in both groups,
  • 06:40so 86% of the non Hispanic White Group
  • 06:43and 82% of the minority group met clinical
  • 06:46significance for diabetes distress.
  • 06:48And then similarly on the prison question,
  • 06:50there was a high rate of adolescents
  • 06:53that met diabetes distress for all the
  • 06:54categories except for health care team
  • 06:56was only one that wasn't the majority.
  • 07:00Comparing between technology user
  • 07:01versus non technology user groups,
  • 07:03again there was a significant
  • 07:04difference in A1C between the two.
  • 07:06So the non technology users had
  • 07:08a significantly higher A1C but no
  • 07:10difference in diabetes distress and
  • 07:12then looking at specific burdens.
  • 07:14The only significant difference was
  • 07:16understanding and organizing care.
  • 07:18So the non technology user groups
  • 07:19found that as a more significant
  • 07:21burden to their diabetes management.
  • 07:25And then finally comparing
  • 07:27adolescents versus parents.
  • 07:28So there was a significant difference
  • 07:30here between now and diabetes distress.
  • 07:32So the adolescents had a much higher
  • 07:34rate of clinically significant,
  • 07:36clinically significant diabetes,
  • 07:38distress, then the parent group did.
  • 07:41And then comparing the specific barriers,
  • 07:43the adolescent scored much higher for
  • 07:45family interactions as a contributing
  • 07:48barrier to their diabetes management.
  • 07:50This is again just shows that
  • 07:52difference between adolescent in Paris,
  • 07:53so adolescent and orange,
  • 07:54parent in blue.
  • 07:55And then we have positive diabetes distress
  • 07:57on the left hand side of the graph.
  • 07:59So 82% of adolescents and only
  • 08:0115% of parents met clinically
  • 08:03significant diabetes distress.
  • 08:06So the conclusions that we were able to
  • 08:08draw from this our population show that
  • 08:10there was a difference in technology,
  • 08:12user groups or technology you use with
  • 08:14the minority group less likely to be
  • 08:16using technology for both aspects of their
  • 08:19diabetes management and having a higher A1C.
  • 08:21This is consistent with
  • 08:23previous literature and so,
  • 08:24and they also cited more complex regional
  • 08:27reasons behind NONUSER discontinuation.
  • 08:29So in the clinical setting it's important
  • 08:31to identify this and identify reasons
  • 08:33behind non use or discontinuation in
  • 08:35the minority population or better.
  • 08:37Understand what's resulting in that
  • 08:38and able to help them implement
  • 08:41technology into their care.
  • 08:42If that will give them,
  • 08:43give them improved management.
  • 08:46And we also saw a very high frequency
  • 08:49of diabetes distress across both
  • 08:50groups of our adolescents.
  • 08:52So this shows that this is a significant
  • 08:54mental burden of managing diabetes,
  • 08:56and it may be impacted glucose control
  • 08:58and quality of life amongst all
  • 09:00adolescents with type one diabetes
  • 09:02and the reason behind this might be
  • 09:04universal stressors that are crossing
  • 09:06both racial and ethnic boundaries.
  • 09:08So that might be social stigma or fear
  • 09:12of feeling different from their peers.
  • 09:16And diarrhea stress in these
  • 09:17various management are modifiable,
  • 09:18so we're able to identify them
  • 09:20in the clinical setting,
  • 09:21there's the potential to help improve
  • 09:23support for adolescents with type one
  • 09:25diabetes and identify those that are
  • 09:27having higher rates of diabetes distress,
  • 09:29so we can help give them more support and
  • 09:32improve their glycemic control and then,
  • 09:35between comparing between adolescents
  • 09:36and their parents,
  • 09:38is another tool that can be very
  • 09:39helpful in the clinical setting
  • 09:41on parents are often the primary
  • 09:43caregiver and support for children.
  • 09:44So when it's high discrepancy and diabetes.
  • 09:46Stress there's the potential to improve
  • 09:49understanding of that discrepancy and
  • 09:51support for adolescents as they make
  • 09:53that transition from childhood into
  • 09:55adulthood while managing a chronic disease.
  • 09:58And then finally,
  • 09:59it's important to note that while
  • 10:01these the advancements in technology
  • 10:03are improving by segment control
  • 10:05or associated with a lower A1C,
  • 10:07and they're not enough to mitigate
  • 10:08diabetes distress,
  • 10:09and that was seen in our study here.
  • 10:11So family support and communication
  • 10:14remains essential even as we
  • 10:16continue to advance technology.
  • 10:19So some future directions,
  • 10:20just further research on both patients
  • 10:23and providers to understand why there
  • 10:25may be provider recommendations against
  • 10:27discontinuation of technology and
  • 10:29minority and and other reasons that
  • 10:32are resulting in the discrepancy and
  • 10:35then also including a diversity and
  • 10:37diabetes treatment settings and locations.
  • 10:38So we only recruited from Yale,
  • 10:40which is a large academic center
  • 10:42in a high high use of technology.
  • 10:44But comparing other areas would also
  • 10:47benefit to be able to make that comparison.
  • 10:49And understand where the disparities
  • 10:52are occurring.
  • 10:52And then also assessing diabetes
  • 10:54test with a qualitative study can
  • 10:56help understand what specifically
  • 10:57is contributing to the high rate
  • 10:59of diabetes distress.
  • 11:00So here are some strengths and
  • 11:01just to highlight a couple,
  • 11:02it was the first study that
  • 11:04compared diabetes distress between
  • 11:05ontspanning white and minority adolescents.
  • 11:07And then we also included both
  • 11:09parents and adolescents into once
  • 11:10we're able to directly compare
  • 11:12their level of diabetes distress.
  • 11:16Some limitations are here again
  • 11:17just to highlight a couple of them.
  • 11:19We only recruited patients that
  • 11:21had scheduled appointments,
  • 11:22so this may be missing patients
  • 11:23that have high level diabetes,
  • 11:24distress or not using technology
  • 11:27we only recruited from Yale,
  • 11:28so again that has a potentially
  • 11:30has a higher rate of diabetes
  • 11:32technology then it's representative
  • 11:33of the minority population.
  • 11:35Our survey was only in English
  • 11:36so that limits anyone who is non
  • 11:38English speaking and then it was
  • 11:40administered during the pandemic so
  • 11:41that also may be contributing to a
  • 11:43high level of distress in adolescence.
  • 11:47Here are my references.
  • 11:48Just a big thank you to Rosanna
  • 11:49and Megan for all their support
  • 11:51with alternative thesis.
  • 11:52I really appreciate you giving
  • 11:54us the opportunity to pursue it.