Pilot of an AI-Enabled Autism Caregiver Support Tool in Indiana and Kenya

September 9, 2026 updated by: Megan Song McHenry, Indiana University

A Prospective Pilot Study of an AI-Enabled Autism Caregiver Support Tool to Assess Feasibility, Acceptability, Safety, Engagement, and Clinical-Trial Readiness in Indiana and Kenya

This prospective pilot study will evaluate an AI-enabled autism caregiver support tool for caregivers of children with autism in Indiana and Kenya. The tool is designed to provide evidence-based autism information, caregiver emotional support, and local service-navigation guidance, with safety guardrails and escalation pathways for high-risk concerns. Caregivers will receive access to the tool and complete baseline and follow-up assessments. The primary purpose of the study is to assess feasibility, acceptability, safety, engagement, and clinical-trial readiness. Exploratory caregiver outcomes include autism knowledge, caregiver self-efficacy, emotional distress and well-being, resource navigation, unmet needs, service engagement, satisfaction, and preparedness to take next steps after diagnosis. Findings will inform the design of a future fully powered effectiveness-implementation trial.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Families of children with autism often face significant challenges following diagnosis, including difficulty accessing reliable information, navigating complex systems of care, identifying appropriate services, and managing the emotional demands associated with caregiving. These challenges may be particularly pronounced in rural, underserved, and resource-constrained settings where access to specialty autism services and family navigation support is limited.

This study will evaluate an AI-enabled autism caregiver support tool designed to provide evidence-based autism information, caregiver emotional support, and service-navigation guidance for caregivers of children with autism in Indiana, United States, and western Kenya. The intervention was developed through a reciprocal innovation approach involving partners in both settings and was informed by caregiver, clinician, educator, and community stakeholder input. The tool is designed to provide plain-language information about autism, answer frequently asked caregiver questions, help caregivers identify relevant services and resources, and provide supportive coping guidance. Safety guardrails are incorporated to address crisis, medical, diagnostic, treatment-related, and other high-risk questions. The tool is not intended to diagnose autism, replace clinical care, or provide emergency services.

The study will use a prospective single-arm pre-post pilot design. Approximately 60 caregivers of children with autism will be recruited in Indiana and Kenya and provided access to the AI-enabled caregiver support tool. Participants will complete baseline and follow-up assessments and will have access to the intervention throughout the study period. Usage data, including engagement with the tool, use of resource-navigation features, and safety-related interactions, will also be collected.

The primary focus of the study is to evaluate feasibility, acceptability, safety, engagement, and clinical-trial readiness. Specific outcomes will include recruitment, retention, assessment completion, intervention uptake, participant engagement, safety events and escalations, usability, and implementation outcomes such as acceptability, feasibility, and appropriateness.

Additional exploratory outcomes will include autism knowledge, caregiver self-efficacy, access to reliable information, emotional well-being, service navigation, unmet caregiver needs, service engagement, preparedness to take next steps following diagnosis, satisfaction with the intervention, and trust in the AI-enabled caregiver support tool. These outcomes will be used to estimate outcome variability and inform selection of measures for a future fully powered effectiveness-implementation study.

By evaluating an AI-enabled caregiver support intervention in both Indiana and Kenya, this study will generate important information regarding implementation, safety, usability, engagement, and caregiver support needs across diverse cultural and resource settings. Findings will inform future efforts to develop scalable approaches for improving access to autism information, caregiver support, and service navigation for families of children with autism.

Study Type

Interventional

Enrollment (Estimated)

60

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Kristen Cunningham, MPH, MS
  • Phone Number: 317-278-5675
  • Email: kricunn@iu.edu

Study Locations

  • Kenya
      • Eldoret, Kenya
        • Moi Teaching and Referral Hospital
  • United States
    • Indiana
      • Indianapolis, Indiana, United States, 46202
        • Indiana University
        • Contact:
          • Kristen Cunningham, MPH, MS
          • Phone Number: 317-278-5675
          • Email: kricunn@iu.edu

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Adult caregiver aged 18 years or older.
  • Parent or primary caregiver of a child with autism spectrum disorder.
  • Resides within the study catchment area in Indiana, United States or western Kenya.
  • Able to provide informed consent.
  • Has access to a mobile phone, tablet, or computer capable of accessing the AI-enabled caregiver support tool.
  • Able to communicate in a study-supported language.
  • Willing to use the AI-enabled caregiver support tool and complete study assessments.

Exclusion Criteria:

  • Younger than 18 years of age.
  • Unable or unwilling to provide informed consent.
  • Unable to access the AI-enabled caregiver support tool using an internet-connected device.
  • Unable to complete study procedures or assessments due to cognitive, communication, or other limitations that preclude participation.
  • Currently participating in another study that, in the opinion of the investigators, would interfere with study participation or interpretation of study findings.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: AI-Enabled Autism Caregiver Support Tool
Caregivers of children with autism will receive access to an AI-enabled caregiver support tool that provides evidence-based autism information, resource navigation support, and caregiver emotional support. Participants will use the tool during the study period and complete baseline and follow-up assessments to evaluate feasibility, acceptability, safety, engagement, and preliminary caregiver outcomes.
Behavioral: AI-Enabled Autism Caregiver Support Tool
Participants will receive access to an AI-enabled autism caregiver support tool adapted for their local setting. The tool provides plain-language, evidence-based information about autism; answers caregiver questions; supports caregiver coping; helps families identify relevant services and resources; and includes safety guardrails for crisis, medical, diagnostic, behavioral, and treatment-related questions. The tool is not intended to diagnose autism, replace clinical care, or provide emergency services.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Recruitment rate
Time Frame: Study enrollment period (up to 12 months)
Recruitment feasibility measured as the proportion of eligible participants who enroll in the study, calculated as the number of enrolled participants divided by the number of eligible participants approached for study participation.
Study enrollment period (up to 12 months)
Retention rate
Time Frame: Baseline to 6-month follow-up
Participant retention measured as the proportion of enrolled participants who complete the final study follow-up assessment.
Baseline to 6-month follow-up
Assessment completion rate
Time Frame: 6 months
Assessment feasibility measured as the proportion of participants who complete all required baseline and follow-up study assessments, including caregiver-reported outcome measures and implementation assessments.
6 months
Intervention Uptake
Time Frame: 6 months
Intervention uptake measured as the proportion of enrolled participants who initiate at least one interaction with the AI-Enabled Autism Caregiver Support Tool following onboarding and activation.
6 months
Intervention Engagement
Time Frame: 6 months
Participant engagement with the AI-Enabled Autism Caregiver Support Tool measured using platform analytics, including number of sessions, active use days, questions submitted, conversations completed, and use of resource navigation and caregiver-support features.
6 months
Safety Events and Escalations
Time Frame: Baseline through 6 months
Safety of the intervention measured by the number and proportion of high-risk prompts, safety escalations, adverse events, and interactions requiring referral to clinical, crisis, or emergency resources.
Baseline through 6 months
Acceptability of the Intervention
Time Frame: 6 months
Acceptability of the AI-Enabled Autism Caregiver Support Tool measured using the Acceptability of Intervention Measure (AIM), with higher scores indicating greater perceived acceptability.
6 months
Feasibility of the Intervention
Time Frame: 6 months
Feasibility of the AI-Enabled Autism Caregiver Support Tool measured using the Feasibility of Intervention Measure (FIM), with higher scores indicating greater perceived feasibility.
6 months
Appropriateness of the Intervention
Time Frame: 6 months
Perceived appropriateness of the AI-Enabled Autism Caregiver Support Tool measured using the Intervention Appropriateness Measure (IAM), with higher scores indicating greater perceived fit, relevance, and suitability for caregiver support.
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
System Usability Scale (SUS)
Time Frame: 6 months
Usability of the AI-Enabled Autism Caregiver Support Tool measured using the System Usability Scale (SUS), a validated measure of perceived usability and ease of use.
6 months
Participant Satisfaction With the Intervention
Time Frame: 6 months
Participant satisfaction with the AI-Enabled Autism Caregiver Support Tool measured using study-specific satisfaction items assessing overall satisfaction, perceived usefulness, and likelihood of future use.
6 months
Autism Knowledge
Time Frame: Baseline and 6 months
Change in caregiver autism knowledge measured using the Autism Spectrum Knowledge Questionnaire (ASKQ-2), with higher scores indicating greater autism-related knowledge.
Baseline and 6 months
Unmet Caregiver Needs
Time Frame: Baseline and 6 months
Change in caregiver-reported unmet information, emotional support, service-navigation, and autism-related care needs using study-specific caregiver needs assessment items.
Baseline and 6 months
Trust in the AI-Enabled Autism Caregiver Support Tool
Time Frame: 6 months
Participant-reported trust in the information, guidance, and recommendations provided by the AI-Enabled Autism Caregiver Support Tool using study-specific trust measures.
6 months
Preparedness to Take Next Steps Following Autism Diagnosis
Time Frame: Baseline and 6 months
Change in caregiver-reported preparedness to make decisions regarding autism-related services, supports, educational planning, and care coordination.
Baseline and 6 months
Service Engagement
Time Frame: Baseline and 6 months
Change in caregiver-reported engagement with autism-related clinical, educational, behavioral, and community-based services, measured using study-specific service utilization questionnaires documenting referral completion, service initiation, attendance, and ongoing participation in recommended services.
Baseline and 6 months
Resource Navigation
Time Frame: Baseline and 6 months
Change in caregiver ability to identify, access, and utilize autism-related services and supports, measured using service-navigation items adapted from the National Survey of Children's Health (NSCH), referral completion, service access, and follow-up engagement indicators.
Baseline and 6 months
Caregiver Well-Being
Time Frame: Baseline and 6 months
Change in caregiver well-being measured using the World Health Organization-Five Well-Being Index (WHO-5), with higher scores indicating greater psychological well-being.
Baseline and 6 months
Perceived Access to Reliable Information
Time Frame: Baseline and 6 months
Change in caregiver-reported access to trustworthy, understandable, and evidence-based autism-related information, measured using study-specific items assessing confidence in locating, understanding, and using autism-related information for decision-making and service navigation.
Baseline and 6 months
Caregiver Self-Efficacy
Time Frame: Baseline and 6 months
Change in caregiver self-efficacy and empowerment measured using the Family Empowerment Scale, including confidence in managing autism-related needs, navigating services, and advocating for their child.
Baseline and 6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Indiana University

Collaborators

Moi University
Audere

Investigators

  • Principal Investigator: Eren Oyungu, MBChB, MMED, Moi University
  • Principal Investigator: Megan McHenry, MD, MS, Indiana University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 1, 2028

Primary Completion (Estimated)

January 1, 2029

Study Completion (Estimated)

January 1, 2030

Study Registration Dates

First Submitted

August 27, 2026

First Submitted That Met QC Criteria

September 9, 2026

First Posted (Actual)

September 16, 2026

Study Record Updates

Last Update Posted (Actual)

September 16, 2026

Last Update Submitted That Met QC Criteria

September 9, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • AI Autism Caregiver Support

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

De-identified quantitative data may be shared in accordance with participant consent, IRB approvals, data-use agreements, and applicable U.S. and Kenyan regulations. Raw conversational transcripts will not be publicly shared because they may contain sensitive caregiver, child, clinical, or location-specific information.

IPD Sharing Time Frame

Data will become available within 12 months of publication of the primary study results and will remain available for at least 5 years following publication.

IPD Sharing Access Criteria

Access to de-identified quantitative data will require submission of a data request, approval by the study investigators, execution of an appropriate data use agreement, and compliance with applicable institutional, U.S., and Kenyan regulations governing human subjects research and data sharing.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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