Refining Patient-Centered Measures of End-of-Life Care Quality for Children With Cancer

PURPOSE There are no existing quality measures (QMs) to optimize end-of-life care for children with cancer. ck. Previously, we developed a set of 26 candidate QMs. Our primary objective in this study was to achieve stakeholder consensus on priority measures. METHODS We conducted an iterative, cross-sectional electronic survey, using a modified Delphi method to build consensus among clinician and family stakeholders. In each of the two rounds of surveys, stakeholders were asked to rate QMs on a 9-point Likert scale, on the basis of perceived importance. Health care professionals were additionally asked to rate measures on perceived feasibility. After each round, we computed median scores on importance and feasibility of measurement, retaining QMs with median importance scores >= 8. RESULTS Twenty-five participants completed both rounds of the survey. In round 1, participants were asked to rate 26 QMs; nine QMs, including QMs pertaining to health care use, were removed because of median importance scores < 8. Two new measures were proposed for consideration in round 2, on the basis of participant feedback. Following round 2, 17 QMs were ultimately retained. QMs related to symptom screening and palliative care consultation were rated highly in importance and feasibility. QMs related to communication were rated highly important, yet less feasible. Measuring whether a patient's needs were heard by their health care team was rated among the least feasible. CONCLUSION Childhood cancer stakeholders prioritized QMs pertaining to patient-reported outcomes, deeming measures of health care resource use less important. Future research should seek to develop novel tools for quality assessment to enhance feasibility of implementing priority measures. (C) 2021 by American Society of Clinical Oncology

Automated summary

This study aimed to prioritize quality measures for optimizing end-of-life care for children with cancer through stakeholder consensus. An iterative cross-sectional electronic survey was conducted, and after two rounds of surveys, 17 quality measures were ultimately retained based on their importance and feasibility ratings.