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Clinical trials, which investigate the effects of drugs in humans, aim to determine safety and efficacy while identifying adverse reactions. Data consistency and subject safety are crucial factors that determine the quality of clinical trials, necessitating overall quality management. There is a growing emphasis on implementing quality systems during the planning stages of clinical trials. Regulatory frameworks have evolved to ensure patient protection and data reliability, underscoring the need for systematic quality management in health research. A clinical trial quality management plan (CTQMP) is essential to describe the tools and methods used to ensure study quality. Globalization has led to an increase in conducting clinical trials in developing nations, presenting challenges due to procedural and ethical disparities. To manage these complexities, outsourcing trial management has become common. Adherence to good clinical practice (GCP) principles, as defined by the International Conference on Harmonization (ICH), is critical for safeguarding participant rights and ensuring credible data. Quality by design (QbD) and quality risk management are now central to clinical trial management, as advocated by the FDA. Technological advancements and robust protocols further enhance trial processes. Effective QA activities, including monitoring and data management, are vital for maintaining compliance, participant safety, and data integrity, highlighting the indispensable role of QA in clinical trial success.
Prasanna et al. (Fri,) studied this question.