WEBVTT

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Well good day everyone.

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I would like to welcome you to today's webinar entitled: EHDI

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After Newborn Screening: the status of meeting the diagnostic

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evaluation by three months of age and intervention enrollment by six

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months benchmarks among babies born in 2021 and 35 states.

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My name is will Eiserman, and I am the associate director of the

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national Center for hearing assessment and management known as

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NCHAM at UMass state -- Utah State University.

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NCHAM as you know serves as the EHDI national technical resource

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Center or the EHDI NTRC.

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We sponsor a variety of different webinars like the one we are having

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today.

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Today's webinar is being recorded, so if anything disrupts your full

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participation, it looks like our video has suspended for our

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interpreter, so I'm going to pause for a moment.

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GUNNAR

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GUNNAR

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GUNNAR THURMAN:  William, this is Gunnar,

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it might just be you.

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WILL

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WILL EISERMAN:  OK, good.

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If it happens on your end just let me know.

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So we are going to have this webinar recorded, so if anything

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disrupts (audio issues) your full participation in today's webinar,

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or if you think of somebody who might benefit from today's

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presentation, who is not attending live, you can direct them to our

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website infant hearing.org and a couple of days, probably by the

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beginning of next week, and you will be able to stream today's

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webinar and share it with whoever you would like or review it again.

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I want to give a shout out to our captioners, our captioners and our

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interpreters today.

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Thank you for your talents and availability to help this webinar

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be as accessible as possible.

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After our presenter has collated the remarks for today, we will open

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up the floor to questions.

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So hold your questions until we open up the floor for that, and

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then I will read the questions so that our presenter has an

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opportunity to think about them and then give a response.

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So, our presenter today is Suhana Ema who serves as an epidemiologist

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with the CDC EHDI team.

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She is responsible for analyzing EHDI data and disseminating

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findings with jurisdictional EHDI programs and partners.

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She also provides technical assistance to EHDI programs to

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improve their program and tracking, and surveillance work.

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She holds a Masters of public health from the University of

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Georgia.

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Suhana was born with severe to profound hearing loss in both ears,

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and wears hearing aids.

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She is fluent in American Leg Which Ad Lib.

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Reads As Well.

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-- Americans I Leg Which Ad Lib.

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Reads As Well.

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We will turn the microphone over to Suhana, thank you for being with us

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today and sharing what you have for us today.

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SUHANA

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    SUHANA EMA:  Thank you so much well for the introduction.

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Hi everyone, I am Suhana, thank you so much for being here with me

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today.

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Let me just adjust my screen a little bit.

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So I am with the CDC EHDI Team thank you for having me today.

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I will be presenting on the status of meeting the diagnostic

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evaluation by three months of age and enrollment interventions by six

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months of age among the babies born in 2021 and 35 states.

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So according to the CDC National data, about one in every 500 babies

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born is deaf or hard of hearing.

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And this is a public health issue because undetected hearing loss can

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have adverse developmental effects that can have lasting impact on the

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children.

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So to memorize the risk for developmental delays, it is

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recommended for babies to get a hearing screen before one month of

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age.

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And those who do not pass the hearing screen will get a

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diagnostic evolution by three months of age.

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And those who have prominent hearing loss should enroll in

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intervention services before six months of age, and that is known as

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the 1-3-6 benchmarks.

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So the hearing screen (Indiscernible) is doing so.

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Over 95% of the newborns that are hearing screened before one month

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of age, the majority of them in the hospital before they go home.

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So for this study we decided to focus on the 3 to 6 benchmarks.

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Under the current CDC (Indiscernible) agreement, 35

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additional program support limited and (Indiscernible) data on babies

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(Indiscernible) and specify per year.

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So in the study we used data that will reported by the recipients

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this year, and babies born in 2021.

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Because of quality issues (Indiscernible) for recipients are

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not included in these analysis, this analysis includes 35

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recipients.

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So in this study were excluded babies who died or moved out of

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their state or territory.

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So the analysis includes 2.1 million babies, again that is

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(Indiscernible) additions.

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The analysis was done using SAS 9.4 software.

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So we learned that among the 2.1 million babies born in 2021, 37,000

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babies failed the hearing screen as final outcome.

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That doesn't include (Indiscernible) we did not get a

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hearing screen due to be referred directly to diagnostic evolution.

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Among those 37,000 babies, 59% received follow-up diagnostic

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information where diagnosis was made of (Indiscernible) hearing,

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transit hearing loss or permanent hearing loss.

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The other 40% did not get sent by an audiologist or did get sent by

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an audiologist but do not yet have a confirmed diagnosis.

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In addition, among 37,000 babies who did not pass the hearing screen,

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45% (Indiscernible) benchmark.

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As mentioned earlier, it is recommended to take a diagnostic

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evaluation before (Indiscernible) if they do not pass the hearing

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screen.

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Here we can see on the slide the age of diagnosis is calculated by

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taking the date of initial confirmed diagnosis minus the

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infant's date of birth.

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That gives us the age in days.

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(Indiscernible) confirmed diagnosis is defined as the first date where

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confirmed diagnosis was made.

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So, it could be normal hearing, permanent hearing, loss or

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transient hearing loss.

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Sometimes (Indiscernible) have multiple evaluations, so we take

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the date of when was the first confirmed diagnosis for assessing

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the three-month benchmark.

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So for an example, if the infant cut three diagnostic evaluation,

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the first one doesn't have a confirmed diagnosis but the second

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one did, we will use the data for the second one when calculating the

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age.

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If the baby was diagnosed before three months of age, the baby marks

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a benchmark.

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If beyond three months, the baby did not meet the benchmark.

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In this analysis we saw that the mean age of diagnosis is 77 days,

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and the median is 52 days.

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And looking at the intervention enrollment.

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In 2021, among 35 additions, we saw about 3600 babies would

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document it to have permanent hearing loss.

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So among those babies, 56% were documented to be enrolled in

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intervention services.

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And that includes both Part C and non-Part C.

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So among those babies with permanent hearing loss, 39% met the

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six-month benchmark.

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The age at enrollment is cocreated by the (Indiscernible) in Rome it

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Part C or non-Part C minus the date of birth, that gives the agent

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days.

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If the age is within six months of age the baby next the benchmark.

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If beyond, the baby did not meet the six-month benchmark.

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So again, that's for 35 (Indiscernible) age of enrollment

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with babies with permanent hearing loss 159 days and the median is 120

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days.

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So we performed multiple logistic regression to predict the receipt

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of likelihood of infants who did not pass the hearing screen and are

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(Indiscernible) enrollment for intervention enrollment for babies

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with permanent hearing loss.

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So first we will tackle the diagnosis.

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We saw the (Indiscernible), we see that diagnostic evaluation is 50%

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higher than for non-NICU infants.

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We also saw that the WIC status is 30% higher than non-NICU babies.

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Not surprising we saw the higher the (Indiscernible) addition the

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higher the odds the baby getting a diagnostic evaluation compared to

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babies whose moms had (Indiscernible) education.

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We also thought the babies of Asian members had 20% higher odds of

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receiving diagnostic evaluation compared to babies that -- babies

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of Hispanic mothers.

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Now looking at the intervention enrollment, we saw that the

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(Indiscernible) includes babies being enrolled in intervention

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services is higher – 10% higher than for non-NICU babies.

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(Indiscernible) shown babies that mothers have higher (Indiscernible)

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enrolled in EI compared to babies with high school education.

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But the findings are consistent with the previous information.

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So that the summary of the 2021 data or 35 additions, we can see

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that individual levels, data provided great opportunities of

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analysis to do detailed analysis and learned a lot from it.

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It allows for finding – Mike identifying the gaps and needs of

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improvement.

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The findings allow for specific populations that may experience

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(Indiscernible) targeted to include equity and access to services.

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The findings also show that the whole world needs to increase, EHDI

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-- receipt and timeliness of advance getting important follow-up

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services.

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It is important for infants to get time sensitive services to many

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mass risks of developmental delays and ensure they are able to reach

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their maximum potential.

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So the CDC would like to thank the recipients for their hard work and

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reporting this data.

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We would not be able to do this analysis and learn so much without

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their support.

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So that is all for me.

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I would like to open the floor to everyone here.

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Does anyone have any questions for me today?

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WILL

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WILL EISERMAN:  Thank you so much

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Suhana.

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This is will Eisenman again, from NCHAM, and the EHDI NTRC.

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We have one question.

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And I think you -- and a thank you from this audience member.

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What were the screening tests that were used and was it a one phase or

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a two-phase screening protocol?

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WILL

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WILL EISERMAN:  Suhana, you are muted.

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Start over please.

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SUHANA

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SUHANA

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SUHANA

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EMA:  I was saying that some states do one stage, and some due to

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stage.

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For data analysis, we take the results and the final most recent

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hearing results.

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WILL

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WILL

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WILL EISERMAN:  This is will from NCHAM

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again.

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The next question is: what do you attribute the higher rate of

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follow-up found among families who were enrolled in WIC?

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SUHANA

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EMA:  That is a good question.

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I would love to open up for discussion why we are seeing that

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babies who are in world in WIC are more likely to get a follow-up, to

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non-WIC.

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If anyone would like to add comments to this one.

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WILL

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EISERMAN:  If anyone has a suggestion of how to interpret that

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finding, it sounds like Suhana and her team are open to hearing what

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you think that means, from your own experience, and perspectives.

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Let's see, Suhana, if anybody responds to that.

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And we can return to that question.

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The next question is: where the Asian babies receiving early

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intervention services lower than the white babies?

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SUHANA

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  SUHANA EMA:  Let me check.

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That is what I am seeing here.

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Yes.

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WILL

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WILL

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WILL

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    WILL EISERMAN:  Yes, returning to the question about WIC.

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One of the participants is saying do you think there is a connection

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to the maternal health programs themselves?

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00:17:16.079 --> 00:17:16.559
SUHANA

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00:17:16.579 --> 00:17:18.559
EMA:  Could you repeat the question please?

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00:17:18.579 --> 00:17:19.059
WILL

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00:17:19.079 --> 00:17:19.559
SUHANA

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00:17:19.579 --> 00:17:20.959
EMA:  Could you repeat the question please?

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00:17:20.979 --> 00:17:21.459
WILL

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00:17:21.479 --> 00:17:21.959
SUHANA

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00:17:21.979 --> 00:17:23.359
EMA:  Could you repeat the question please?

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00:17:23.379 --> 00:17:23.859
WILL

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00:17:23.879 --> 00:17:26.059
EISERMAN:  We are returning to that question about what do you

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00:17:26.079 --> 00:17:28.059
attribute the higher rate sound...

279
00:17:28.079 --> 00:17:30.706
Follow-up found with families who are enrolled in WIC.

280
00:17:30.726 --> 00:17:35.706
Do you think maybe it is related to the maternal and Child health

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00:17:35.726 --> 00:17:42.278
program itself?

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00:17:42.298 --> 00:17:42.778
SUHANA

283
00:17:42.798 --> 00:17:44.778
EMA:  I mean it is possible.

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00:17:44.798 --> 00:17:47.778
I do not have all of the answers.

285
00:17:47.798 --> 00:17:50.778
That is a great discussion to discuss amongst (indiscernible).

286
00:17:50.798 --> 00:17:53.778
That is what we are seeing in the data.

287
00:17:53.798 --> 00:17:58.778
It is very interesting that the WIC babies are more likely to get

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follow-up services compared to non-WIC babies.

289
00:18:04.790 --> 00:18:05.868


290
00:18:05.888 --> 00:18:09.868
Would anyone like to add to this one why they think the WIC babies

291
00:18:09.888 --> 00:18:12.131
get more?

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00:18:12.151 --> 00:18:12.631
WILL

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00:18:12.651 --> 00:18:13.131
WILL

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EISERMAN:  It certainly highlights a potential strategy for EHDI

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00:18:16.151 --> 00:18:21.131
programs who are looking for way, to increase follow-up.

296
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By perhaps engaging more actively with WIC programs, and promoting

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WIC services for families who qualified, or are eligible for

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299
00:18:35.151 --> 00:18:37.900
those programs.

300
00:18:37.920 --> 00:18:42.900
Another question, did you track the etiology of reduced hearing levels

301
00:18:42.920 --> 00:18:48.291
for the children in your study?

302
00:18:48.311 --> 00:18:48.791
SUHANA

303
00:18:48.811 --> 00:18:49.291
SUHANA

304
00:18:49.311 --> 00:18:49.791
SUHANA

305
00:18:49.811 --> 00:18:53.791
EMA:  Yes, as of right now that data collection, we do not collect

306
00:18:53.811 --> 00:18:59.780
the etiology (indiscernible) for children in our study.

307
00:18:59.800 --> 00:19:01.919


308
00:19:01.939 --> 00:19:02.419
WILL

309
00:19:02.439 --> 00:19:04.778
  WILL EISERMAN:  OK.

310
00:19:04.798 --> 00:19:10.786
Is there a way to find out which states are included in your study?

311
00:19:10.806 --> 00:19:11.286
SUHANA

312
00:19:11.306 --> 00:19:12.286
SUHANA

313
00:19:12.306 --> 00:19:17.156
    SUHANA EMA:  Yes, it is a long list.

314
00:19:17.176 --> 00:19:22.156
Under the cooperative agreement, (indiscernible) due to quality

315
00:19:22.176 --> 00:19:26.156
issues, the analysis includes 35 studies.

316
00:19:26.176 --> 00:19:32.150
I am happy to provide a list of those 35 state names that were

317
00:19:32.170 --> 00:19:33.156


318
00:19:33.176 --> 00:19:36.156
included.

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00:19:36.176 --> 00:19:36.656
WILL

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00:19:36.676 --> 00:19:39.834
WILL EISERMAN:  This is will again.

321
00:19:39.854 --> 00:19:45.834
Should anyone who is interested in a more detailed report contact you

322
00:19:45.854 --> 00:19:51.820
via email, Suhana, to get information like that?

323
00:19:51.840 --> 00:19:55.942


324
00:19:55.962 --> 00:19:56.442
SUHANA

325
00:19:56.462 --> 00:19:57.442
EMA:  Yes, absolutely.

326
00:19:57.462 --> 00:19:58.442
I welcome emails.

327
00:19:58.462 --> 00:20:00.642
Anyone can send me emails, and ask questions that they have.

328
00:20:00.662 --> 00:20:01.142
WILL

329
00:20:01.162 --> 00:20:03.342
Anyone can send me emails, and ask questions that they have.

330
00:20:03.362 --> 00:20:06.342
 Anyone can send me emails, and ask questions that they have.    WILL EISERMAN:  OK, great.

331
00:20:06.362 --> 00:20:09.342
Gunnar, could you put Suhana's email and the chat please so that

332
00:20:09.362 --> 00:20:12.945
we know how to contact her.

333
00:20:12.965 --> 00:20:17.945
The next question is: from my experience, (audio issues),

334
00:20:17.965 --> 00:20:23.945
returning to the WIC families, this person is saying from my own

335
00:20:23.965 --> 00:20:28.945
experience I think that WIC families are more inclined to

336
00:20:28.965 --> 00:20:34.945
respond to EHDI program initiatives to inform parents to have a

337
00:20:34.965 --> 00:20:39.818
follow-up.

338
00:20:39.838 --> 00:20:43.818
Another person is saying perhaps because there are other supports in

339
00:20:43.838 --> 00:20:49.810
place, to lead the family, that might be another explanation of WIC

340
00:20:49.830 --> 00:20:51.818


341
00:20:51.838 --> 00:20:54.418
follow-up.

342
00:20:54.438 --> 00:20:59.418
There is something here is in there about what is happening withWIC

343
00:20:59.438 --> 00:21:05.410
families, that we could replicate for families who....

344
00:21:05.430 --> 00:21:14.379


345
00:21:14.399 --> 00:21:16.379
Something unique is happening there that is worth knowing more

346
00:21:16.399 --> 00:21:22.370
about.

347
00:21:22.390 --> 00:21:27.229


348
00:21:27.249 --> 00:21:31.229
I think more eyes on the baby, more likely they are to be identified.

349
00:21:31.249 --> 00:21:34.229
Families seen in WIC clinics are followed closely by caseworkers.

350
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When a child is identified as deaf or hard of hearing, they may have

351
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continued follow-up actions for that child.

352
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353
00:21:53.336 --> 00:21:56.316
Another person is saying, I wonder if families receiving WIC have

354
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another variable such as intrinsic motivation, or access to

355
00:21:58.136 --> 00:22:00.316
high-quality primary care, in which the provider is likely to share

356
00:22:00.336 --> 00:22:04.986
resources, working in their favor.

357
00:22:05.006 --> 00:22:09.986
Another person is surmising, could it have something to do with

358
00:22:10.006 --> 00:22:14.090
insurance coverage?

359
00:22:14.110 --> 00:22:19.455
Another person is suggesting, these are all great hypotheses...

360
00:22:19.475 --> 00:22:24.455
Could the WIC findings be attributed to WIC providing

361
00:22:24.475 --> 00:22:25.455
accurate demographics?

362
00:22:25.475 --> 00:22:31.450
WIC families keep their contact information current.

363
00:22:31.470 --> 00:22:36.428


364
00:22:36.448 --> 00:22:37.428
Another question, Suhana.

365
00:22:37.448 --> 00:22:40.428
Can you explain when is

366
00:22:40.448 --> 00:22:41.428
enrollment?

367
00:22:41.448 --> 00:22:47.420
As soon as eligible, or as soon as the IFSP is signed?

368
00:22:47.440 --> 00:22:49.987


369
00:22:50.007 --> 00:22:50.487
SUHANA

370
00:22:50.507 --> 00:22:50.987
SUHANA

371
00:22:51.007 --> 00:22:51.487
SUHANA

372
00:22:51.507 --> 00:22:51.987
SUHANA

373
00:22:52.007 --> 00:22:56.987
EMA:  For the analysis, I use the date of IFSP, the date when the

374
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IFSP was signed.

375
00:22:58.007 --> 00:23:03.987
If that is not available, then I use the date of when the family was

376
00:23:04.007 --> 00:23:09.980
enrolled in (indiscernible).

377
00:23:10.000 --> 00:23:12.280


378
00:23:12.300 --> 00:23:18.270
Usually IFSP indicates participation.

379
00:23:18.290 --> 00:23:28.448


380
00:23:28.468 --> 00:23:32.991
Did that answer the question?

381
00:23:33.011 --> 00:23:33.491
WILL

382
00:23:33.511 --> 00:23:33.991
WILL

383
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WILL

384
00:23:34.511 --> 00:23:34.991
WILL

385
00:23:35.011 --> 00:23:35.491
WILL

386
00:23:35.511 --> 00:23:35.991
WILL

387
00:23:36.011 --> 00:23:36.491
WILL

388
00:23:36.511 --> 00:23:36.991
WILL

389
00:23:37.011 --> 00:23:39.991
EISERMAN:  Gunnar, I experienced a technological glitch just now, did

390
00:23:40.011 --> 00:23:40.599
you?

391
00:23:40.619 --> 00:23:42.599
SPEAKER:  No, it is on your end.

392
00:23:42.619 --> 00:23:48.590
Everything it OK.

393
00:23:48.610 --> 00:23:50.817


394
00:23:50.837 --> 00:23:56.810
Looks like will might be having some internet issues.

395
00:23:56.830 --> 00:23:58.291


396
00:23:58.311 --> 00:24:02.291
Suhana, if you click the Q&A button, at the bottom of the screen, you

397
00:24:02.311 --> 00:24:06.896
can see the questions, if you would like to answer them yourself.

398
00:24:06.916 --> 00:24:13.350
The ones down at the bottom, should be more recent.

399
00:24:13.370 --> 00:24:13.850
WILL

400
00:24:13.870 --> 00:24:17.866
  WILL EISERMAN:  I am back.

401
00:24:17.886 --> 00:24:21.338
Can you hear me?

402
00:24:21.358 --> 00:24:23.338
SPEAKER:  Yes I can hear you.

403
00:24:23.358 --> 00:24:24.338
WILL

404
00:24:24.358 --> 00:24:29.378
    SPEAKER:  Yes I can hear you.    WILL EISERMAN:  Sorry, I was kicked off.

405
00:24:29.398 --> 00:24:34.378
Here is a question for you: was there any data that shows the

406
00:24:34.398 --> 00:24:40.370
mother's ages in the WIC program?

407
00:24:40.390 --> 00:24:43.679


408
00:24:43.699 --> 00:24:44.179
SUHANA

409
00:24:44.199 --> 00:24:46.179
EMA:  We do not have that data.

410
00:24:46.199 --> 00:24:52.170
The mother's age, (indiscernible) in the WIC program.

411
00:24:52.190 --> 00:24:56.978


412
00:24:56.998 --> 00:24:57.478
WILL

413
00:24:57.498 --> 00:24:59.478
EISERMAN:  I am having a problem.

414
00:24:59.498 --> 00:25:04.478
If you could pick up reading the questions from where Karen

415
00:25:04.498 --> 00:25:10.470
(indiscernible)  comment is, and go down from there.

416
00:25:10.490 --> 00:25:18.495


417
00:25:18.515 --> 00:25:20.495
SPEAKER:  I can take over from there.

418
00:25:20.515 --> 00:25:27.303
More comments about the WIC comment.

419
00:25:27.323 --> 00:25:31.303
Sara says she works at DPH, and WIC personnel are in her building.

420
00:25:31.323 --> 00:25:37.290
We interact often, and they refer to us as needed.

421
00:25:37.310 --> 00:25:39.113


422
00:25:39.133 --> 00:25:43.113
Lisa says by way of information if a family is on WIC they have

423
00:25:43.133 --> 00:25:43.913
regular interviews with nurses.

424
00:25:43.933 --> 00:25:45.313
I believe on the WIC management team.

425
00:25:45.333 --> 00:25:50.313
Parents have to take their families to (Reads chat)

426
00:25:50.333 --> 00:25:56.300
We have another question here: linkage to maternal and child

427
00:25:56.320 --> 00:25:59.313


428
00:25:59.333 --> 00:26:05.300
health programs perhaps this is the same for NICU infants?

429
00:26:05.320 --> 00:26:06.313


430
00:26:06.333 --> 00:26:12.313
Were they enrolled in a perinatal program, development follow-up

431
00:26:12.333 --> 00:26:17.313
clinic, or are infants enrolled in WIC?

432
00:26:17.333 --> 00:26:24.292
NICU grads are at risk...

433
00:26:24.312 --> 00:26:30.714
(Reads chat).

434
00:26:30.734 --> 00:26:32.714
A new question here, from Holly.

435
00:26:32.734 --> 00:26:36.714
What kind of intervention services the children receive, specifically,

436
00:26:36.734 --> 00:26:42.714
and did you collect info on whether it was a signing, queuing, or

437
00:26:42.734 --> 00:26:44.058
listening and spoken program?

438
00:26:44.078 --> 00:26:44.558
SUHANA

439
00:26:44.578 --> 00:26:45.058
SUHANA

440
00:26:45.078 --> 00:26:45.558
SUHANA

441
00:26:45.578 --> 00:26:49.558
EMA:  We do not collect that information about specific

442
00:26:49.578 --> 00:26:55.665
(indiscernible).

443
00:26:55.685 --> 00:26:56.665
SPEAKER:  Great.

444
00:26:56.685 --> 00:26:58.665
Another question here that just came in.

445
00:26:58.685 --> 00:27:02.665
You report for 35 states, which is lower, substantially fewer than

446
00:27:02.685 --> 00:27:04.665
states reporting from 2014 to 2019.

447
00:27:04.685 --> 00:27:10.305
Do you understand the reason for this drop?

448
00:27:10.325 --> 00:27:10.805
SUHANA

449
00:27:10.825 --> 00:27:14.805
EMA:  Could you rephrase the question, I am not understanding

450
00:27:14.825 --> 00:27:17.018
this one?

451
00:27:17.038 --> 00:27:22.852
    SPEAKER:  We can see if they can rephrase it.

452
00:27:22.872 --> 00:27:26.852
Another question, do you think there would be a difference in the

453
00:27:26.872 --> 00:27:29.052
data if measured from eligibility date of enrollment instead of IFSP

454
00:27:29.072 --> 00:27:35.448
Part C?

455
00:27:35.468 --> 00:27:35.948
SUHANA

456
00:27:35.968 --> 00:27:39.395
  SUHANA EMA:  Could be.

457
00:27:39.415 --> 00:27:43.713
I honestly do not know.

458
00:27:43.733 --> 00:27:49.713
I would think it would be different if we go by eligibility

459
00:27:49.733 --> 00:27:55.700
date, instead of the enrollment into IFSP.

460
00:27:55.720 --> 00:28:00.211


461
00:28:00.231 --> 00:28:06.200
Let's say there are 500 babies eligible, but 300 are enrolled in

462
00:28:06.220 --> 00:28:07.211


463
00:28:07.231 --> 00:28:13.200
IFSP Part C, that would be difference in the data.

464
00:28:13.220 --> 00:28:14.622


465
00:28:14.642 --> 00:28:20.610
We do not collect eligibility dates, at the moment.

466
00:28:20.630 --> 00:28:22.039


467
00:28:22.059 --> 00:28:25.268
  SPEAKER:  Great thank you.

468
00:28:25.288 --> 00:28:31.698
It looks like that is all the questions we have listed.

469
00:28:31.718 --> 00:28:37.690
I will go ahead and wrap things up for us then.

470
00:28:37.710 --> 00:28:46.357


471
00:28:46.377 --> 00:28:48.357
Thank you Suhana for your presentation today.

472
00:28:48.377 --> 00:28:50.957
Just so everyone knows, I will be posting, in the Chatfield, a survey

473
00:28:50.977 --> 00:28:53.757
that you can fill out, if you would like to give us some feedback.

474
00:28:53.777 --> 00:28:55.957
If you do that, you will receive a certificate of attendance.

475
00:28:55.977 --> 00:28:58.757
That is in the chat field now.

476
00:28:58.777 --> 00:29:04.750
I will go ahead and leave the room open for a couple of minutes.

477
00:29:04.770 --> 00:29:09.011


478
00:29:09.031 --> 00:29:12.011
Our presenter and accessibility providers are welcome to head out

479
00:29:12.031 --> 00:29:13.011
if they would like.

480
00:29:13.031 --> 00:29:13.811
Thank you again everybody.

481
00:29:13.831 --> 00:29:14.311
SUHANA

482
00:29:14.331 --> 00:29:16.111
EMA:  Thank you so much for having me today.

483
00:29:16.131 --> 00:29:17.911
It was my pleasure to give the presentation today.

484
00:29:17.931 --> 00:29:20.911
My email address is on the slide, so please reach out if you have any

485
00:29:20.931 --> 00:29:21.911
follow-up questions on the webinar.

486
00:29:21.931 --> 00:29:27.509
Thank you so much.

487
00:29:27.529 --> 00:29:20.656
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