이 페이지는 자동 번역되었으며 번역의 정확성을 보장하지 않습니다. 참조하십시오 영문판 원본 텍스트의 경우.

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

2026년 9월 9일 업데이트: 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.

연구 개요

상태

아직 모집하지 않음

정황

개입 / 치료

상세 설명

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.

연구 유형

중재적

등록 (추정된)

60

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 연락처 백업

  • 이름: Kristen Cunningham, MPH, MS
  • 전화번호: 317-278-5675
  • 이메일: kricunn@iu.edu

연구 장소

  • 미국
    • Indiana
      • Indianapolis, Indiana, 미국, 46202
        • Indiana University
        • 연락하다:
          • Kristen Cunningham, MPH, MS
          • 전화번호: 317-278-5675
          • 이메일: kricunn@iu.edu
  • 케냐
      • Eldoret, 케냐
        • Moi Teaching and Referral Hospital

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

  • 성인
  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

설명

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.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 지지 요법
  • 할당: 해당 없음
  • 중재 모델: 단일 그룹 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: 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.
행동: 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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Recruitment rate
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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

2차 결과 측정

결과 측정
측정값 설명
기간
System Usability Scale (SUS)
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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
기간: 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

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

Indiana University

협력자

Moi University
Audere

수사관

  • 수석 연구원: Eren Oyungu, MBChB, MMED, Moi University
  • 수석 연구원: Megan McHenry, MD, MS, Indiana University

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2028년 1월 1일

기본 완료 (추정된)

2029년 1월 1일

연구 완료 (추정된)

2030년 1월 1일

연구 등록 날짜

최초 제출

2026년 8월 27일

QC 기준을 충족하는 최초 제출

2026년 9월 9일

처음 게시됨 (실제)

2026년 9월 16일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 9월 16일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 9월 9일

마지막으로 확인됨

2026년 9월 1일

추가 정보

이 연구와 관련된 용어

키워드

추가 관련 MeSH 약관

기타 연구 ID 번호

  • AI Autism Caregiver Support

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

예

IPD 계획 설명

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 공유 기간

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 공유 액세스 기준

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.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

구독하다