Content area

Abstract

Background

Despite compelling evidence supporting advance care planning (ACP) benefits in improving end-of-life care quality and patient autonomy, ACP completion rates remain suboptimal globally, with only 20%−40% of adults in developed countries having completed any form of advance directive. Digital health technologies offer promising solutions to overcome traditional barriers to ACP engagement. While numerous studies have evaluated individual digital ACP interventions, the evidence base remains fragmented and heterogeneous, with existing reviews often focusing on specific populations, settings, or technologies, limiting generalizability. This systematic review aims to comprehensively evaluate the effectiveness of digital tools and interventions in promoting advance care planning engagement, completion, and quality across diverse populations and healthcare settings, and identify successful intervention components and implementation strategies.

Methods

This systematic literature review will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search of eight databases will be conducted from inception to July 2025, along with gray literature sources. The review will include randomized controlled trials, quasi-experimental studies, and observational studies evaluating digital health interventions for ACP in adults aged ≥18 years. The PICOS framework will guide study selection, with interventions including web-based platforms, mobile applications, video-based decision aids, telehealth platforms, and emerging technologies. Primary outcomes include ACP engagement rates, advance directive completion, and quality of ACP discussions. Two independent reviewers will conduct study screening, data extraction, and quality appraisal using the Cochrane Risk of Bias tool 2.0 (RoB 2) for randomized trials and ROBINS-I for non-randomized studies. Both narrative synthesis and meta-analysis will be employed where appropriate.

Discussion

This protocol outlines a comprehensive systematic review utilizing rigorous methodology to synthesize evidence on digital tools for advance care planning. The findings will provide valuable insights into the effectiveness of various digital ACP interventions, identify optimal intervention components, and highlight implementation considerations. Results will inform healthcare providers, policymakers, and technology developers in implementing evidence-based digital ACP interventions while identifying research gaps requiring future investigation.

Clinical trial registration

https://www.crd.york.ac.uk/prospero/, PROSPERO registration: CRD420251108596.

Details

1009240
Business indexing term
Title
Effectiveness of digital tools in promoting advance care planning: a systematic review protocol
Author
Shankar, Ravi 1 ; Devi, Fiona 2 ; Xu, Qian 2 

 1 Clinical Research & Innovation Office, Tan Tock Seng Hospital, National Healthcare Group, Singapore, Singapore, 2 Research and Innovation, Medical Affairs, Alexandra Hospital, National University Health System, Singapore, Singapore 
 3 School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom 
Publication title
Volume
12
First page
1698865
Number of pages
11
Publication year
2026
Publication date
Jan 2026
Section
Family Medicine and Primary Care
Publisher
Frontiers Media SA
Place of publication
Lausanne
Country of publication
Switzerland
Publication subject
e-ISSN
2296858X
Source type
Scholarly Journal
Language of publication
English
Document type
Systematic Review
Publication history
 
 
Milestone dates
2025-09-04 (Recieved); 2025-12-02 (Accepted)
ProQuest document ID
3293972990
Document URL
https://www.proquest.com/scholarly-journals/effectiveness-digital-tools-promoting-advance/docview/3293972990/se-2?accountid=208611
Copyright
© 2026. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-17
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic