Feasibility and acceptability of a culturally adapted advance care planning intervention for people living with advanced cancer and their families: A mixed methods study

Background: Increasing evidence shows that advance care planning is effective in improving outcomes. However, its applicability and acceptability outside Western cultures remain unknown. Examination of relevant cultural adaptations is required prior to wider adoption. Aim: To examine the feasibility and acceptability of a culturally adapted advance care planning intervention in a Taiwanese inpatient hospital for advanced cancer patients, family members and healthcare professionals. Methods: A single-group, non-controlled, mixed methods feasibility study guided by a previously developed logic model. The culturally adapted advance care planning intervention represented a one-time intervention, comprising pre-advance care planning preparation and follow-up consultation. Qualitative interviews explored participants' view on their involvement in the study. Patients' medical records were examined to assess intervention fidelity. Findings from both data sets were integrated following analysis. Results: N = 29 participants (n = 10 patients; n = 10 family members and n = 9 healthcare professionals) participated in the intervention, of who 28 completed follow-up interviews. Of the 10 advance care planning interventions delivered, most components (n = 10/13) were met. Key contextual moderators influencing the intervention feasibility included: (1) resource constraints resulting in increased workload; (2) care decisions informed by relatives' experiences of care; (3) the requirement for financial and policy support; and (4) a presumption for end-of-life care provision and surrogate decision-making. Six areas of intervention refinement were identified for future research. Conclusion: Implementing a culturally adapted advance care planning intervention in an inpatient hospital setting in Taiwan is possible. The participants reported the intervention to be acceptable. However, careful attention to the conceptual underpinning using local primary data is imperative for its success.