7448 Medicine & Nursing courses delivered Online

Capture and management of clinical trial data is a challenge. The industry is under pressure to obtain and analyse such data more quickly, while maintaining data integrity, so that products can be brought to market sooner. Effective planning and adequate resources can ensure clinical trials yield high quality data within strict timelines and budget requirements, at the same time satisfying regulatory standards. This short course describes the purpose of data capture and explores efficiencies in data management as part of the evolving regulatory landscape.

The demands on quality from clinical trials are increasing. Quantitative aspects of clinical trials, such as the mass of study data to be collected, the multiple investigational sites, and the need to meet predetermined timelines, often supersede qualitative features. Therefore, addressing basic requirements for quality management is essential when preparing a clinical trial. This short course describes the core elements required for the establishment of a clinical trial and provides an overview of the role of the sponsor in supporting and improving trial quality.

In clinical trials, endpoints are measurements to evaluate the results of a new treatment, at an individual patient level. The study data can be extrapolated to patient populations on the basis of clinical similarities to patients participating in the trial. When clinical trial data have been obtained, focus is on the trial endpoints; more specifically, the focus is on whether the trial met or failed the primary endpoint specified before the trial started. The purpose and various types of endpoints are discussed in this short course.

Clinical trial protocols are an essential part of clinical trial design. Protocol documents are critical to conducting safe and cost-effective investigations. Protocol documents are large and complex, containing comprehensive information relating to purpose, design and conduct of a clinical trial. Aspects of a protocol include patient eligibility criteria, and treatment specifications. This short course provides an overview of clinical trial protocols. Opportunities to improve a clinical trial protocol for regulatory approval are also discussed.

In this short course we present an overview of the main principles of GMP, and we outline some things that manufacturing personnel need to do to comply with requirements. We identify the principal goals of GMP as: prevention of contamination; prevention of mix-ups; scrupulous documentation; validation and maintenance of processes and equipment; quality assurance by an independent unit; and training. We place GMP in the context of a company’s quality management system.

Clinical trial design establishes the framework upon which the clinical trial process will be conducted, and sets the objectives of the trial. The application for marketing approval, submitted to the regulatory authorities, will provide clinical data reflecting the trial design. Since trial design impacts the whole drug development process and lifecycle, particular care and due diligence is essential. This short course provides an overview of the main types of study design.

Prevention of contamination is one of the most important goals of GMP. Contamination of product is often difficult to detect, so GMP rules emphasise preventive measures, including: attention to personal health and hygiene, and the wearing of special clothing, by staff; and cleaning and sanitation of premises and equipment. In this short course we set out the basics of GMP requirements in these vital areas.

Comprehensive documentation of procedures, formulas, work instructions, and specifications, and thorough recording of batch data, are fundamental requirements of GMP. In this short course we explain why documentation is so important, identify different types of document required, and set out some simple rules for recording and correcting data.

Analytical statistical elements are essential concepts in the design of clinical trials. This analysis helps us to understand whether a conclusion from a study of a sample of the target population applies generally to that population as a whole. In particular, it helps us to answer the question: Did the treatment effect in the given study occur just by chance? The statistical elements of a well-controlled study minimise the chances of drawing the wrong conclusions, by providing clear thresholds for such errors. The basic statistical elements of a clinical trial include eligibility criteria, randomisation, sample size, power, and blinding, and these are discussed in this short course.

Informed consent in clinical research is an ethical and regulatory requirement. A research subject must enter a study voluntarily, be informed about risks and benefits, and understand the difference between investigation and treatment. Subjects must not be coerced into enrolment, nor must they be enticed by exaggerated claims of benefit. Before they can enrol, all potential subjects must agree, in writing, to participate. In addition to ethical and regulatory imperatives, the potential for litigation by subjects further highlights the importance of rigorous adherence to informed consent principles. In this short course we set out the principles and requirements and provide examples of practical issues confronting healthcare professionals and subjects.