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Instant Message-delivered Personalised Acceptance and Commitment Therapy (IMPACT) for Neuropsychiatric Symptoms in Persons With Mild Cognitive Impairment

The University of Hong Kong (HKU) logo

The University of Hong Kong (HKU)

Status

Enrolling

Conditions

Mild Cognitive Impairment (MCI)

Treatments

Behavioral: general mental health management
Behavioral: automated instant message-guided neuropsychiatric symptoms management

Study type

Interventional

Funder types

Other

Identifiers

NCT07420426
IMPACT2025

Details and patient eligibility

About

This study aims to develop an automated instant message-delivered intervention (i.e., EMI) for people with mild cognitive impairment to reduce their NPS, and to investigate the feasibility and effectiveness of the intervention.

Full description

  1. Message contents:

    The message content library will consist of four parts: 1.orientation, 2. brief mild cognitive impairment education messages, 3. acceptance and commitment therapy messages, 4.booster message.

  2. Message delivery

    • Regular messages: The messages in the four parts will be sent regularly to each participant. As personalisation is a core process subject to behavioural changes, the timing of the messages will be determined based on participants' preferences. To save labour and increase efficiency, the investigators will develop a message 'scheduler' program. The investigators will pre-set the message scheduler, which will then automatically send out content to the participants according to their preferences. The development of the program is highly useful particularly in cases which participants prefer to receive messages during non-office hours.
    • Real-time support messages (chat-type): Chat-based support will be given to the participants as an extension of the regular messages. However, the participants will be informed beforehand that the RA will only play a supportive role and will not provide formal care. The number of the chat messages will not be limited, but the real-time support messages will only be provided during working hours on weekdays to limit the RA's workload.

Control Group:

The control group will receive instant messages about mental health management from GovHK website (https://www.gov.hk/en/residents/health/mental/), which is open to the public.

Enrollment

160 estimated patients

Sex

All

Ages

50+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Community-dwelling adults aged ≥ 50 years
  • HK-MoCA score ranged from 18 to 22
  • MBI-C ≥7
  • SCD-9 ≥3
  • IADL =18
  • Able to read and communicate in Chinese
  • Able to use the text or voice messaging function on a smartphone

Exclusion criteria

  • Clinical diagnosis of dementia
  • Clinical diagnosis of psychiatric disease
  • Currently participating in any type of psychological or behavioural intervention for NPSs
  • Currently taking psychiatric medication
  • Currently receiving acute care or post-acute hospitalization care

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

160 participants in 2 patient groups

Intervention group
Experimental group
Description:
Participants in intervention group will receive the EMI for 9 weeks. Based on the steps of mobile message development recommended by Abroms, et al., our multidisciplinary team - including a neurologist, nurses, clinical psychologists and gerontologists - will develop an ACT message content library and protocol for IM delivery (i.e. EMI).
Treatment:
Behavioral: automated instant message-guided neuropsychiatric symptoms management
Control group
Active Comparator group
Description:
The control group will receive instant messages about general mental health management from the HKSAR Government website in 9 weeks, which is open to the public (https://www.shallwetalk.hk/en/mental-well-being/mental-well-being-is-related-to-you/), with reminder text messages of follow-up surveys.
Treatment:
Behavioral: general mental health management

Trial contacts and locations

1

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Central trial contact

Doris Sau Fung Yu, Professor

Data sourced from clinicaltrials.gov

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