Beernaert, Kim, and Kim Eecloo, 'How to ensure good-quality data by avoiding missing data: strategies for preparing and monitoring studies', in Irene J Higginson, and others (eds), Research Methods in Palliative, Supportive, and End-of-Life Care, Second edition (Oxford, 2025; online edn, Oxford Academic, 22 May 2025), https://doi.org/10.1093/9780191924644.003.0026, accessed 13 Aug. 2025.
Abstract
To achieve reliable evidence, high-quality research based on high-quality data sets is needed. Especially in palliative care research, missing or incomplete data are a significant problem, which may introduce bias. There is no complete cure for missing data, and it is vital that ways are identified to avoid and reduce missing data as much as possible. This chapter will be a guide for researchers on how to prepare and monitor data collection to prevent missing data in palliative care research, mainly applicable for all observational and experimental studies, including trials of complex interventions. Recommended strategies are elucidated, according to the four important phases in the research process: preparing the study protocol; designing manuals; pilot or feasibility study; and monitoring for, and addressing, missing data during the ongoing study.
