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AI-CONECT: A Conversational AI for Early Dementia Prevention in Socially-Isolated Older Adults (AI-CONECT)

2026년 8월 22일 업데이트: Hiroko Hayama Dodge, Massachusetts General Hospital

AI-CONECT: A Conversational AI for Early Dementia Prevention in Socially-Isolated Older Adults Based on the Efficacy-Proven I-CONECT Study

This randomized controlled trial examines the mechanisms of conversational AI-based interventions for early dementia prevention in socially isolated older adults.

연구 개요

상세 설명

Social isolation is a well-established and modifiable risk factor for cognitive decline and dementia. The completed I-CONECT trial (NCT02871921) showed that frequent, one-to-one, semi-structured conversational engagement delivered remotely by trained human interviewers improved cognitive outcomes among socially isolated older adults with mild cognitive impairment. Two limitations have constrained translating that approach into a scalable preventive intervention: its reliance on trained human interviewers limits scalability, and the behavioral mechanisms responsible for its cognitive benefits remain incompletely understood.

AI-CONECT addresses both limitations by delivering the conversational intervention through a conversational artificial intelligence (AI) voice chatbot rather than a human interviewer, and by testing a hypothesized behavioral mechanism: that the intervention increases participants' social self-efficacy (confidence in their ability to engage socially), which in turn increases real-world social engagement.

연구 유형

중재적

등록 (추정된)

80

단계

  • 해당 없음

연락처 및 위치

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

연구 연락처

연구 장소

    • Massachusetts
      • Boston, Massachusetts, 미국, 02129

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

  • 고령자

건강한 자원 봉사자를 받아들입니다

아니

설명

Inclusion Criteria:

  • Aged 75+
  • Clinical diagnosis of MCI (any subtype) or, when a clinical diagnosis is unavailable, a Telephone-MoCA (T-MoCA) score of 15-17.
  • Identified as socially isolated, defined as meeting both of the following self-reported criteria: (a) lives alone in one's own residence, and (b) engages in conversations lasting 30 minutes or longer no more than twice per week.
  • GDS-15 (15-item Geriatric Depression Scale) at/below 9 (not severely depressed).
  • Social self-efficacy mean ≤ 8 (on the 0-10 scale) across the 6-item Social Self-Efficacy Scale at screening, indicating low confidence in social interaction.
  • Ability to understand the research consent form.
  • Ability to connect a tablet to the Internet.

Exclusion Criteria:

  • Diagnosed with dementia such as AD, ischemic vascular dementia, normal pressure hydrocephalus, or Parkinson's disease.
  • Schizophrenia, or other major psychiatric disorder defined by DSM-IV criteria.
  • Medications: (a) Frequent use of high doses of analgesics; Use of sedative medications except for those used occasionally for sleep (≤2 per week); (b) Use of unstable dosing of Cholinesterase inhibitors (need to be stable dosing for 2 months); (c) AD disease modifying monoclonal antibody treatment e.g., aducanumab or lecanemab (completed the treatment is allowed)

공부 계획

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

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 방지
  • 할당: 무작위
  • 중재 모델: 병렬 할당
  • 마스킹: 하나의

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: AI-CONECT
Participants will receive four 15- to 30-minute conversations per week with the AI agent and a weekly 10- to15-minute survey call with a human interviewer.
AI-based one-on-one semi-structured conversation for cognitive stimulation
간섭 없음: Control
Participants will receive a weekly 10- to 15-minute survey call with a human interviewer.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Social Self-Efficacy
기간: From enrollment to the end of intervention at 8 weeks
Participants' self-efficacy on social interactions using an instrument adapted from the Exercise Self-Efficacy Scale (EXSE, by McAuley, 1993). The scale comprises three items of confidence: interacting with others regularly, engaging with others when feeling less connected, and engaging others in conversations. The three items are adapted to social interaction in person and using technology (e.g., video calls), respectively. Each item is rated from 0 (not at all confident) to 10 (completely confident). A mean score is computed across the six items (range 0-10), with higher scores indicating greater social self-efficacy.
From enrollment to the end of intervention at 8 weeks
Time contacting friends or family
기간: From enrollment to the end of the intervention at 8 weeks, using weekly data
Change in weekly time contacting friends or family.
From enrollment to the end of the intervention at 8 weeks, using weekly data

2차 결과 측정

결과 측정
측정값 설명
기간
Time out of home
기간: From enrollment to the end of treatment at 8 weeks
Self-reported weekly time out of home (a proximate measure of social engagement by the participants), using weekly data.
From enrollment to the end of treatment at 8 weeks
Frequency of contacting friends
기간: From enrollment to the end of treatment at 8 weeks
Self-reported frequency of contacting friends, using weekly data.
From enrollment to the end of treatment at 8 weeks

기타 결과 측정

결과 측정
측정값 설명
기간
Exploratory outcome: Social isolation score
기간: From baseline to week 8

Changes in Lubben's social isolation score (6-item version) from baseline to Week 8.

The 6-item Lubben Social Network Scale (LSNS-6) is a brief measure of social isolation/social network size and support, particularly in older adults. It includes three questions about family ties and three about friendships, assessing the number of people the individual has contact with, feels close to, and can call on for help.

Each item is scored from 0 to 5, giving a total score of 0-30. Higher scores indicate stronger social networks and less social isolation.

From baseline to week 8
Exploratory outcome: Changes in the 3-item UCLA Loneliness Scale (UCLA-3)
기간: From baseline to week 8
The 3-item UCLA Loneliness Scale (UCLA-3) is a brief measure of perceived loneliness and social disconnection. It asks how often a person feels a lack of companionship, left out, and isolated from others. Each item is scored from 1 (hardly ever) to 3 (often). The total score ranges from 3 to 9, with higher scores indicating greater loneliness.
From baseline to week 8

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Hiroko H Dodge, PhD, Massachusetts General Hospital

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)

2026년 10월 1일

기본 완료 (추정된)

2028년 5월 30일

연구 완료 (추정된)

2028년 9월 30일

연구 등록 날짜

최초 제출

2026년 2월 19일

QC 기준을 충족하는 최초 제출

2026년 7월 13일

처음 게시됨 (실제)

2026년 7월 14일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 8월 25일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 8월 22일

마지막으로 확인됨

2026년 8월 1일

추가 정보

이 연구와 관련된 용어

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

예

IPD 계획 설명

De-identified transcriptions and other collected data may be shared with external researchers under a Data Use Agreement (DUA). Shareable data may include outcome scores, adherence rates, chatbot-usage metrics, full conversational transcripts (after removal of any incidentally disclosed identifiable information), and audio recordings of sessions. Because raw audio recordings may be inherently identifiable, they will be shared only under a DUA. These data may also be made available to the NIH/NIA Program Official upon request. Data are stored on HIPAA-compliant servers (e.g., MGB Business Dropbox and MGB Azure) and encrypted drives. The participant linkage key is kept within Mass General Brigham. No individual-level data are deposited in public or controlled-access repositories under the current protocol; future repository sharing would require additional IRB review and approval.

IPD 공유 기간

De-identified data and related materials are available upon request; the current protocol does not specify a fixed availability start or end date. Availability and retention follow Mass General Brigham and NIH record-retention requirements.

IPD 공유 액세스 기준

Requests are reviewed by the study team. Sharing occurs only under an executed Data Use Agreement (DUA) or equivalent research agreement approved by the Mass General Brigham Contracting Office, is limited to de-identified (except audio recording as described above) or aggregated data for the analyses described in the protocol, and contractually prohibits re-identification and onward sharing. Data are transferred only via Mass General Brigham-approved secure, encrypted methods.

IPD 공유 지원 정보 유형

  • ANALYTIC_CODE

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. .

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