ClinicalTrials.Veeva

Menu

Compassion-Based Intervention for Lung Cancer Caregivers (CBI-LCC)

T

Taipei Medical University

Status

Begins enrollment this month

Conditions

Compassion

Treatments

Behavioral: Telephone-Based Support and Education (TSE)
Behavioral: Brief Compassion-Based Intervention (BCI)

Study type

Interventional

Funder types

Other
Other U.S. Federal agency

Identifiers

NCT06930313
IRB Approval Number (Other Identifier)
N202411055

Details and patient eligibility

About

Objectives: This 3-year study aims to develop, refine, and evaluate a brief compassion-based intervention specifically designed for family caregivers of lung cancer patients. In the first year, the primary focus will be on developing the intervention content and assessing its feasibility and acceptability. In the second and third years, the goal will be to assess the intervention's effects on depression and anxiety.

Method: In the first year, the intervention will be developed in three stages. Initially, the intervention will be created based on compassion-focused theory and evidence-based exercises, incorporating feedback from family caregivers in previous studies and insights from professionals to ensure its relevance to lung cancer caregivers. Next, a pilot study will test the intervention's feasibility and acceptability with 30 family caregivers, using mixed methods to gather session-by-session feedback and assess recruitment, retention, and adherence. Following the pilot, the intervention will be revised based on participant and researcher feedback, preparing it for further study. In the second and third years, a randomized controlled trial (RCT) will be conducted with 84 participants randomly assigned to either the 4-session Brief Compassion-Based Intervention (BCI) or a single-session Telephone-Based Support and Education (TSE) control group. Outcomes, including depression, anxiety, caregiver stress, mindfulness, self-compassion, and self-efficacy, will be measured at baseline, immediately post-intervention, and at 3- and 6-month follow-ups. For data analysis, long-term follow-up quantitative data will be analyzed using the Generalized Estimating Equation (GEE) to examine group differences. Moderation and mediation analyses will be conducted to explore potential moderators and mechanisms of the intervention. Qualitative data from interviews will be analyzed using content analysis.

Expected Results: This study is expected to provide a comprehensive understanding of the feasibility, acceptability, and effectiveness of compassion-based interventions for lung cancer caregivers, contributing to their application in clinical care practice.

Enrollment

84 estimated patients

Sex

All

Ages

20+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Primary family caregiver of a person with newly diagnosed lung cancer (within one year of diagnosis)
  • Aged 20 years or older
  • Access to a computer or smartphone with internet connection at home

Exclusion criteria

  • Currently receiving psychological therapy
  • Diagnosed with a severe mental illness and taking medication for it (e.g.,psychosis, bipolar disorder)
  • Previous experience with mindfulness or self-compassion training

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

84 participants in 2 patient groups

Brief Compassion-Based Intervention (BCI)
Experimental group
Description:
Participants in this arm will receive a 4-session Brief Compassion-Based Intervention (BCI) focused on managing depression and anxiety in family caregivers of lung cancer patients.
Treatment:
Behavioral: Brief Compassion-Based Intervention (BCI)
Telephone-Based Support and Education (TSE)
Active Comparator group
Description:
Participants in this arm will receive a single-session Telephone-Based Support and Education (TSE), providing general caregiving advice and emotional support.
Treatment:
Behavioral: Telephone-Based Support and Education (TSE)

Trial contacts and locations

1

Loading...

Central trial contact

Chia-Chen Hsieh, PhD

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems