Parent values and preferences underpinning treatment decision making in poor prognosis childhood cancer: A scoping review protocol

Abstract

Introduction Parents of a child with cancer want to be involved in making treatment decisions for their child. Underpinning and informing these decisions are parents' individual values and preferences. Parents of a child who has a poor prognosis cancer and who subsequently dies can experience decisional regret. To support parents, and potentially reduce decisional regret, identifying the values and preferences of parents who are making these treatment decisions may enhance the support that can be provided by healthcare professionals. An increased understanding will support future work in this area and identify research gaps that could strengthen support strategies in clinical practice. The aim of this scoping review is to explore parent values and preferences underpinning treatment decision making when their child is receiving cancer-directed therapy for a poor prognosis cancer. Methods and analysis The Joanna Briggs Institute scoping review methodology will be followed. An initial database search of CINHAL and MEDLINE will be conducted to analyse the keywords using subject headings and Medical Subject Headings terms. Articles will be initially screened on title and abstract. The reference and citation lists of the full-text articles to be included will be searched using Web of Science. Articles will be independently reviewed by two reviewers and any discrepancies discussed with a third reviewer. Data extracted will be presented in tabular, diagrams and descriptive summaries. Ethics and dissemination Ethical approval is not required for this scoping review. This review will inform further research with parents to understand their values and preferences when making repeated treatment decisions when their child has a poor prognosis cancer. All outputs will be disseminated through peer-reviewed publications and conference presentations. This scoping review is registered on the Open Science Framework (https://osf.io/n7j9f).