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Community-Based Interventions for Initiating Early End-of-Life Conversations in Nonterminally Ill Adults: A
Yong Yi Tan1, Shuning Fu2, Khi Yung Fong3
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Campbell Systematic Reviews
|June 12, 2026
Summary
Community-based interventions significantly improve end-of-life (EOL) planning and advanced care planning (ACP) behaviors and perceptions in non-terminally ill adults. Discussion groups and workshops were particularly effective, enhancing EOL and ACP engagement.
Area of Science:
- Public Health
- Gerontology
- Health Services Research
Background:
- End-of-life (EOL) conversations and advanced care planning (ACP) are crucial for maintaining autonomy and dignity.
- Understanding the effectiveness of community-based interventions for early EOL and ACP initiation in non-terminally ill adults is limited.
Purpose of the Study:
- To systematically review and meta-analyze community-based interventions for initiating early ACP conversations and EOL planning behaviors.
- To provide a comprehensive summary to inform international adoption of such implementations.
Main Methods:
- Systematic review and meta-analysis of 71 articles from a search of 30,869 abstracts across multiple databases.
- Included non-terminally ill adults (18+ years) in community settings, focusing on interventions promoting EOL/ACP education.
- Assessed completion of EOL/ACP behaviors and knowledge, attitudes, and perceptions (KAP) using standardized mean difference (SMD).
Main Results:
- Community-based EOL interventions significantly increased EOL/ACP behaviors (RR=2.24) and positive perceptions (SMD=1.24) compared to usual care.
- Workshop and discussion group interventions showed greater effectiveness in promoting EOL and ACP.
- Findings were robust across sensitivity analyses, including studies with low risk-of-bias.
Conclusions:
- Community-based interventions effectively enhance EOL/ACP behaviors and perceptions among the non-terminally ill.
- Future interventions should focus on community contextualization and co-creation with community figures for improved generalizability.
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