How can advance care planning support hope in patients with advanced cancer and their families: a qualitative study as part of the international ACTION trial

Objective Clinicians' fears of taking away patients' hope is one of the barriers to advance care planning (ACP). Research on how ACP supports hope is scarce. We have taken up the challenge to specify ways in which ACP conversations may potentially support hope. Methods In an international qualitative study, we explored ACP experiences of patients with advanced cancer and their personal representatives (PRs) within the cluster-randomised control ACTION trial. Using deductive analysis of data obtained in interviews following the ACP conversations, this substudy reports on a theme of hope. A latent thematic analysis was performed on segments of text relevant to answer the research question. Results Twenty patients with advanced cancer and 17 PRs from Italy, the Netherlands, Slovenia, and the United Kingdom were participating in post-ACP interviews. Three themes reflecting elements that provide grounds for hope were constructed. ACP potentially supports hope by being (I) a meaningful activity that embraces uncertainties and difficulties; (II) an action towards an aware and empowered position; (III) an act of mutual care anchored in commitments. Conclusion Our findings on various potentially hope supporting elements of ACP conversations provide a constructive way of thinking about hope in relation to ACP that could inform practice

Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study

Background: Missing data are common in end-of-life care studies, but there is still relatively little exploration of which is the best method to deal with them, and, in particular, if the missing at random (MAR) assumption is valid or missing not at random (MNAR) mechanisms should be assumed. In this paper we investigated this issue through a sensitivity analysis within the ACTION study, a multicenter cluster randomized controlled trial testing advance care planning in patients with advanced lung or colorectal cancer. Methods: Multiple imputation procedures under MAR and MNAR assumptions were implemented. Possible violation of the MAR assumption was addressed with reference to variables measuring quality of life and symptoms. The MNAR model assumed that patients with worse health were more likely to have missing questionnaires, making a distinction between single missing items, which were assumed to satisfy the MAR assumption, and missing values due to completely missing questionnaire for which a MNAR mechanism was hypothesized. We explored the sensitivity to possible departures from MAR on gender differences between