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

9 settembre 2026 aggiornato da: 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.

Panoramica dello studio

Stato

Non ancora reclutamento

Condizioni

Intervento / Trattamento

Descrizione dettagliata

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.

Tipo di studio

Interventistico

Iscrizione (Stimato)

60

Fase

  • Non applicabile

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Contatto studio

Backup dei contatti dello studio

  • Nome: Kristen Cunningham, MPH, MS
  • Numero di telefono: 317-278-5675
  • Email: kricunn@iu.edu

Luoghi di studio

  • Kenya
      • Eldoret, Kenya
        • Moi Teaching and Referral Hospital
  • Stati Uniti
    • Indiana
      • Indianapolis, Indiana, Stati Uniti, 46202
        • Indiana University
        • Contatto:
          • Kristen Cunningham, MPH, MS
          • Numero di telefono: 317-278-5675
          • Email: kricunn@iu.edu

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

  • Adulto
  • Adulto più anziano

Accetta volontari sani

No

Descrizione

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.

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

  • Scopo principale: Terapia di supporto
  • Assegnazione: N / A
  • Modello interventistico: Assegnazione di gruppo singolo
  • Mascheramento: Nessuno (etichetta aperta)

Armi e interventi

Gruppo di partecipanti / Arm
Intervento / Trattamento
Sperimentale: 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.
Comportamentale: 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.

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Recruitment rate
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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

Misure di risultato secondarie

Misura del risultato
Misura Descrizione
Lasso di tempo
System Usability Scale (SUS)
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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
Lasso di tempo: 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

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Sponsor

Indiana University

Collaboratori

Moi University
Audere

Investigatori

  • Investigatore principale: Eren Oyungu, MBChB, MMED, Moi University
  • Investigatore principale: Megan McHenry, MD, MS, Indiana University

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Stimato)

1 gennaio 2028

Completamento primario (Stimato)

1 gennaio 2029

Completamento dello studio (Stimato)

1 gennaio 2030

Date di iscrizione allo studio

Primo inviato

27 agosto 2026

Primo inviato che soddisfa i criteri di controllo qualità

9 settembre 2026

Primo Inserito (Effettivo)

16 settembre 2026

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

16 settembre 2026

Ultimo aggiornamento inviato che soddisfa i criteri QC

9 settembre 2026

Ultimo verificato

1 settembre 2026

Maggiori informazioni

Termini relativi a questo studio

Parole chiave

Termini MeSH pertinenti aggiuntivi

Altri numeri di identificazione dello studio

  • AI Autism Caregiver Support

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

SÌ

Descrizione del piano IPD

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.

Periodo di condivisione IPD

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.

Criteri di accesso alla condivisione IPD

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.

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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