Tools and Strategies to Integrate Multi-Domain Information for Personalized Decision-Making in Oncological Care...

Area of Science:

• Oncology
• Health Services Research
• Decision Science

Background:

• Personalized decision-making in oncology is increasingly important.
• The Integrated Oncological Decision-Making Model (IODM) emphasizes three information domains: medical, patient health status, and patient preferences/goals.
• Gaps exist in understanding how to collect and integrate this information effectively within cancer care pathways.

Purpose of the Study:

• To identify and evaluate tools and strategies for collecting and integrating information from the three domains of the IODM.
• To assess the implementation and impact of these tools on decision and patient outcomes.

Main Methods:

• A systematic literature search was conducted in PubMed, Embase, and Web of Science in October 2023.
• Seven studies met the inclusion criteria, describing tools for collecting information across all three IODM domains.
• Data were extracted on tool content, implementation, and outcomes.

Main Results:

• Only seven studies out of 2576 identified described comprehensive data collection across all three IODM domains.
• Information was gathered via dialogue, questionnaires, and assessments, often by nurses or Multi-Disciplinary Teams.
• Treatment plans were modified in 3% to 53% of cases following tool implementation; limited data suggested positive patient outcomes.

Conclusions:

• Current literature lacks comprehensive details on the implementation strategies, processes, timing, and personnel involved in using IODM-aligned tools.
• Despite limitations, the identified studies indicate promising potential for improving patient well-being and reducing complications through integrated decision-making.