Strategies for Preventing and Addressing Missing Data in Research

Abstract

This article addresses the pervasive issue of missing data in biomedical research and the potential solutions to prevent it. The focus is on proactive strategies for prevention at various stages of the research process. Advocating for a comprehensive study design, clear communication through information sheets during consent, and the use of well-designed data collection tools are key to preventing missing data issues in health research. In addition, the training and supervision for data collectors, especially in the context of potential biases arising from sensitive questions, are critical. Electronic data collection has the advantages of validation and checks to prevent missing data. Hence, adequate planning is a must to reduce missing values and improve the validity of the study outcome.