Using the Kipling method to explore the contextual factors of decision-making during advance care planning for older cancer patients, their family, and health-care professionals: A qualitative secondary analysis

Cheng-Pei Lin, Chia-Hsuan Chiang, Shuh-Jen Sheu*

*此作品的通信作者

研究成果: Article同行評審

摘要

Objectives
Advance care planning (ACP) interventions are supposed to affect patients’ autonomy and family health-care outcomes positively. However, the clinical benefits of ACP actualization and associated contextual factors merit questioning. Therefore, this study explores the critical contextual and procedural factors related to ACP decision-making based on the actual situation of older patients with cancer encountering end-of-life care in Taiwan.

Methods
This retrospective qualitative secondary analysis used the Kipling method (5W1H) to explore further the critical contextual and procedural factors related to ACP decision-making processes. We applied thematic analysis and dual coding for 35 narratives, including 10 patients with cancer, 10 family caregivers, and 15 health-care staff, derived from a preliminary qualitative study regarding palliative care decision-making among patients with advanced cancer, their families, and health-care staff.

Results
We identified 6 domains detailing the contextual factors for ACP decision-making: (1) WHO (decision makers); (2) WHAT (discussion content); (3) WHEN (care plan for which disease stage); (4) WHERE (patient’s situational location); (5) WHY (reasons underpinning the decisions); and (6) HOW (the way to form the decisions).

Significance of results
Using the Kipling method to elaborate the contextual factors for ACP decision-making among older patients with cancer strengthens the understanding of complicated end-of-life care decision-making procedure. This study also demonstrates the dynamic and cultural complexity and the various factors considered during end-of-life care and future ACP discussion.
原文American English
期刊Palliative and Supportive Care
DOIs
出版狀態Published - 2023

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