286 Pharmacology courses delivered Online

New drug development requires major investment in capital, human resources and technical expertise. Strict adherence to regulations on testing and manufacturing standards is also required before a new drug can be marketed. One of the greatest challenges in conducting clinical trials is that of efficiency. As trials become more comprehensive, involving large numbers of participants globally, their duration is prolonged and costs increase. The longer trials last, the shorter is the patent life remaining after market approval and the longer patients must wait for the new product. This short course covers the key components of clinical trials and how these requirements interact with the drug development cycle.

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.

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.

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.

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.

A clinical trial, particularly a late-phase commercial study, is a major project requiring collaboration between the sponsor and staff or contractor, on the one hand, and the clinical investigator(s) and other healthcare professionals on the other. Good communication among all parties is essential. In this short course we introduce the major roles in a typical clinical research project and outline their duties.

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.

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.

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