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Supporting the Health and Well-being of Children With Intellectual and Developmental Disability During COVID-19 Pandemic

Supporting the Health and Well-being of Children With Intellectual and Developmental Disability During COVID-19 Pandemic

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04565509
Enrollment
1143
Registered
2020-09-25
Start date
2020-11-20
Completion date
2024-03-29
Last updated
2026-02-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Child Development Disorder, Covid19, Developmental Disability, Intellectual Disability

Brief summary

The primary goal of this project is to identify the best messaging and implementation strategies to maximize SARS-CoV-2 testing for children with intellectual and developmental disabilities (IDD) and their teachers to help ensure a safe school environment. Additionally, we will understand nationally the perceptions of COVID-19 and identify facilitators and barriers to help with the adoption of testing in other parts of the US and the necessary strategies to address other mitigation strategies including vaccination.

Detailed description

This research study will occur at six schools dedicated to children with IDD that are a part of the Special School Districts in St. Louis, MO. Additionally, surveys, focus groups, and fuzzy cognitive mapping sessions will be conducted at these six schools and at schools within the Kennedy Krieger School Programs in Baltimore, MD. Finally, a national survey will be administered to families, teachers, and staff of the 67 University Centers for Excellence in Developmental Disabilities (UCEDD) which is sponsored by the Association of University Centers for Disability (AUCD). The first aim will involve focus groups of parents/guardians, teachers, and school staff to identify the barriers and facilitators to frequent SARS-CoV-2 testing, impressions of COVID-19, and best messages and implementation strategies to promote increase testing and vaccination. A formal process for developing two types of messages (general versus focused) will be performed using focus group data and involving key stakeholders to test the messages. A cluster randomized adaptive clinical trial will then occur at the six special school district schools. In phase 1, the schools will be randomized initially to either the general or focused message to promote the adoption of weekly SARS-CoV-2 testing by the students and teachers. After 5 months, data analysis will be conducted to determine which strategy led to the highest percentage of testing. Phase 2 will begin at 7 months after the schools are randomized to either the best message determined from phase 1 or best message plus an augmented implementation strategy. Beginning in April 2021 the first aim was expanded to include weekly testing and message development at the Kennedy Krieger Institutes and Sheppard Pratt Schools in Baltimore, MD. In phase 1, these schools will be randomized initially to either the general or focused message to promote the adoption of weekly SARS-CoV-2 testing by the students and teachers. After 5 months, data analysis will be conducted to determine which strategy led to the highest percentage of testing. Phase 2 will begin at 7 months after these schools are randomized to either the best message determined from phase 1 or best message plus an augmented implementation strategy. The second aim will assess the national perspectives among parents of children with IDD and school staff regarding the impact of COVID-19 and importance of SARS-CoV-2 testing. Fuzzy cognitive mapping (FCM) and the administration of local and national surveys will be used to accomplish this aim. FCM will involve in-person sessions with parents from the schools in aim 1 and Kennedy Krieger Institute/Sheppard Pratt schools in Baltimore, MD for children with IDD. These sessions will help identify the facilitators and barriers SARS-CoV-2 testing and other mitigation strategies including COVID-19 vaccine. Since no accepted measures have been developed for understanding parent and school staff concerns for children with IDD around COVID-19, local (St. Louis and Baltimore) and national surveys will be conducted. Custom surveys will be deployed across two stakeholder groups: parent/guardians and school staff. We will administer the survey at baseline and during the trial across school settings (St. Louis and Baltimore). A national survey will also be administered across the UCEDDs. Psychometric analysis will be performed to help identify the questions for a national survey at the end of the study period. In addition to the custom surveys, NIH recommended parent-report surveys from the PhenX Toolkit will be used. The surveys to be used include the Psychological Stress Associated with the COVID-19 Crisis Scale and COVID-19 impact questionnaires.

Interventions

A messaging strategy will be developed from focus groups that generally describes COVID-19 and the importance of testing.

BEHAVIORALEnhanced Messaging

A messaging strategy that is developed from focus groups that is targeted to address specific concerns of the different communities. Messages may target groups being tested (staff versus students) or sociodemographic or race/ethnicity differences between schools depending on the focus groups input.

DIAGNOSTIC_TESTCOVID-19 Testing

Weekly surveillance COVID-19 testing.

BEHAVIORALFocus Groups

Focus groups to develop enhanced messaging.

BEHAVIORALFuzzy Cognitive Mapping

FCMs to assess facilitators and barriers to COVID-19 testing.

Sponsors

Washington University School of Medicine
Lead SponsorOTHER
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Intervention model description

A cluster randomized adaptive trial will be conducted. The first phase will randomize the 6 Special School District schools to either a general message or focus/targeted message. Data analysis will occur and then the schools will be randomized to the best message strategy from phase 1 alone or best message plus and augmented message or implementation strategy. The same process will take place independently at the Kennedy Krieger Institutes/Sheppard Pratt Schools.

Eligibility

Sex/Gender
ALL
Age
5 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

* Students enrolled in the St. Louis Special School District or the Kennedy Krieger Institutes/Sheppard Pratt Schools in Maryland. * Teachers/Staff working at the St. Louis Special Schools or the Kennedy Krieger Institutes/Sheppard Pratt Schools in Maryland dedicated to teaching children with IDD. or * Parents/ of students, teachers and/or staff employed by the St. Louis Special School District or Kennedy Krieger Institute/Sheppard Pratt schools in Maryland or * Families, teachers, and staff of the 67 University Centers for Excellence in Developmental Disabilities (UCEDD) which is sponsored by the Association of University Centers for Disability (AUCD).

Exclusion criteria

* Members of the research team will not be eligible to participate in the focus groups.

Design outcomes

Primary

MeasureTime frameDescription
Enrollment Into Weekly Testing by Each Participant - Special School District22 monthsAssuming the binomial distribution for each primary outcome, generalized estimating equation (GEE) models with logit link function were utilized to investigate the primary outcome changes across the weeks. The denominators for the enrollment and test rate per school were the total number of staff and students; and the total number of consented participants for a specific week, respectively. For the weeks after randomization, the GEE model included the indicator of week, group indicator, and the interaction term between week and group indicator. P-values of the interaction term from type-3 test were used to test the difference between 2 groups across the weeks. At Kennedy, GEE models were conducted separately using participants with non-missing data and participants with missing data to assess the impact of missing data. The reported values reflect the percentage of participants enrolled per week.
Overall Testing Rate - Special School District22 monthsAssuming the binomial distribution for each primary outcome, generalized estimating equation (GEE) models with logit link function were utilized to investigate the primary outcome changes across the weeks. The denominators for the enrollment and test rate per school were the total number of staff and students; and the total number of consented participants for a specific week, respectively. For the weeks after randomization, the GEE model included the indicator of week, group indicator, and the interaction term between week and group indicator. P-values of the interaction term from type-3 test were used to test the difference between 2 groups across the weeks. At Kennedy, GEE models were conducted separately using participants with non-missing data and participants with missing data to assess the impact of missing data. The outcome measure reflects the percentage of participants tested per week.
Enrollment Into Weekly Testing by Each Participant - Kennedy Krieger Institute22 monthsAssuming the binomial distribution for each primary outcome, generalized estimating equation (GEE) models with logit link function were utilized to investigate the primary outcome changes across the weeks. The denominators for the enrollment and test rate per school were the total number of staff and students; and the total number of consented participants for a specific week, respectively. For the weeks after randomization, the GEE model included the indicator of week, group indicator, and the interaction term between week and group indicator. P-values of the interaction term from type-3 test were used to test the difference between 2 groups across the weeks. At Kennedy, GEE models were conducted separately using participants with non-missing data and participants with missing data to assess the impact of missing data. The outcome measure reflects the percentage of participants enrolled per week.
Overall Testing Rate - Kennedy Krieger Institute22 monthsAssuming the binomial distribution for each primary outcome, generalized estimating equation (GEE) models with logit link function were utilized to investigate the primary outcome changes across the weeks. The denominators for the enrollment and test rate per school were the total number of staff and students; and the total number of consented participants for a specific week, respectively. For the weeks after randomization, the GEE model included the indicator of week, group indicator, and the interaction term between week and group indicator. P-values of the interaction term from type-3 test were used to test the difference between 2 groups across the weeks. At Kennedy, GEE models were conducted separately using participants with non-missing data and participants with missing data to assess the impact of missing data. The outcome measure reflects the percentage of participants tested per week.

Secondary

MeasureTime frameDescription
Key Themes and Subthemes: Perceptions of Returning to In-person Learning2 monthsKey themes and subthemes of participants' perceptions of returning to in-person learning
Key Themes and Subthemes: Facilitators to Participation in SARS-CoV-2 Screening Testing2 monthsKey Themes and Subthemes: Facilitators to Participation in SARS-CoV-2 Screening Testing
Key Themes and Subthemes: Communication (Messages)2 monthsKey Themes and Subthemes: Communication (messages)
Key Themes and Subthemes: Communication (Messengers)2 monthKey themes and subthemes: Communication (messengers)
Structural Equation Modeling (SEM) for Effects of Facilitators and Barriers Related to a Successful SARS-COV-2 Testup to 52 weeksStructural equation modeling (SEM) was used to confirm the results of the FCM analyses. SEM is a combination of confirmatory factor analysis (CFA) and multiple regression that identifies the relationships among latent constructs. For the purpose of the current study, SEM analyses examined the effects of facilitators and barriers related to a Successful SARS-COV-2 Test. The factor loadings in the tables can be interpreted on the following scale: 0.70+ -\> Strong 0.50 -\> Moderate 0.30 -\> Weak but acceptable
Structural Equation Modeling (SEM) for Successful SARS-COV-2 Testup to 52 weeksIn the one-factor model, Structural equation modeling (SEM) was used for pinpointing key items that loaded onto Successful SARS-COV-2 Test The factor loadings in the tables can be interpreted on the following scale: 0.70+ -\> Strong 0.50 -\> Moderate 0.30 -\> Weak but acceptable

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORJason G. Newland, MD

Washington University School of Medicine

Participant flow

Recruitment details

All students and staff in the schools were eligible.

Pre-assignment details

Focus Groups and Fuzzy Cognitive Mapping only completed during Phase 1. SCD = Special School District. KKI = Kennedy Krieger Institute. FCM = Fuzzy Cognitive Mapping.

Baseline characteristics

Characteristic
Age, Continuous41 years
Age, Customized
25 to 30 years of age
3 Participants
Age, Customized
25 to 34 years of age
16 Participants
Age, Customized
30 to 39 years of age
21 Participants
Age, Customized
35 to 44 years of age
13 Participants
Age, Customized
40 to 49 years of age
43 Participants
Age, Customized
45 to 54 years of age
26 Participants
Age, Customized
50 to 59 years of age
19 Participants
Age, Customized
>/= 55 years of age
12 Participants
Age, Customized
60 to 64 years of age
6 Participants
Age, Customized
other or missing
2 Participants
Age, Customized
Unknown
19 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
5 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
316 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
93 Participants
Race/Ethnicity, Customized
Black/African American
62 Participants
Race/Ethnicity, Customized
Not Reported
10 Participants
Race/Ethnicity, Customized
Other / Mixed
62 Participants
Race/Ethnicity, Customized
White
203 Participants
Region of Enrollment
United States
1143 participants
Sex: Female, Male
Female
855 Participants
Sex: Female, Male
Male
96 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
deaths
Total, all-cause mortality
0 / 6360 / 3520 / 3270 / 1940 / 860 / 94
other
Total, other adverse events
0 / 6360 / 3520 / 3270 / 1940 / 860 / 94
serious
Total, serious adverse events
0 / 6360 / 3520 / 3270 / 1940 / 860 / 94

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026