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.