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1.
PDA J Pharm Sci Technol ; 69(6): 762-70, 2015.
Article in English | MEDLINE | ID: mdl-26659106

ABSTRACT

In reaction to breaches of data integrity in the pharmaceutical industry, regulatory authorities have introduced inspection approaches or initiatives with the aim of reducing occurrences of data integrity problems. This review article-based on study of 65 cases of regulatory action from 2002 to 2014-provides an overview of current regulatory thinking and action on breaches of data integrity affecting GxP (health-related regulations) processes supporting non-clinical studies, clinical studies, laboratory controls, and production controls. These case studies largely represent position of the U.S. Food and Drug Administration and the regulatory agencies affiliated with the European Medicines Agency. Also discussed is the role of human factors as a potential source of data integrity problems. The article concludes by recommending some remedial controls that could be established to avoid or reduce occurrences of data integrity problems.Lay Abstract: In fulfilling their mission to protect public health, regulatory agencies (e.g., U.S. Food and Drug Administration, European Medicines Agency) must establish confidence that medical products they approve are fit for their intended use. In so doing they rely on scientific and operational data generated during research, development, manufacturing, sales, marketing, distribution, and post-marketing surveillance activities. The level of confidence they build is directly proportional to the scientific validity and integrity of data presented to them by the sponsors of medical products. In this article we present analysis of 65 case studies that document regulatory action taken by various regulatory agencies on breach of data integrity between 2002 and 2014. The ensuing discussion on current trends largely represents position of the U.S. Food and Drug Administration and European Medicines Agency. The article concludes by proposing some remedial controls that could be established by pharmaceutical companies to avoid or reduce occurrences of data integrity problems.


Subject(s)
Computer Security , Drug Industry/legislation & jurisprudence , Government Agencies/legislation & jurisprudence , Government Regulation , Drug Industry/standards , European Union , Humans , Internet , United States , United States Food and Drug Administration/legislation & jurisprudence
2.
PDA J Pharm Sci Technol ; 67(4): 307-22, 2013.
Article in English | MEDLINE | ID: mdl-23872442

ABSTRACT

Through systematic collection and trending of pharmaceutical data, operational evidence to verify existence of 14 factors affecting the ongoing pharmaceutical transformation has been compiled. These 14 factors are termed transformation triggers. The theoretical evidence in support of these triggers is carried forward from a systematic review of the literature that was conducted previously. Trends in operational evidence and the associated theoretical evidence were compared to identify areas of similarity and contrast. Areas of strong correlation between theoretical evidence and operational evidence included four transformation triggers: a fully integrated pharma network, personalized medicine, translational research, and pervasive computing. Key areas of contrast included three transformation triggers-namely, healthcare management focus, adaptive trials, and regulatory enforcement-for which the operational evidence was stronger than the theoretical evidence. LAY ABSTRACT: The intent of this paper is to provide proof to demonstrate if there is any operational evidence that supports the 14 transformation triggers previously identified during the theoretical part of this research. The theoretical evidence for these triggers was carried forward to this paper for study from an operational perspective. The practical evidence established in this paper was compared with the corresponding theoretical evidence to identify areas of similarity and difference. This resulted in four triggers that had strong relationship between operational and theoretical evidence; they are a fully integrated pharma network, personalized medicine, translational research, and pervasive computing. The areas of difference included three transformation triggers for which the operational evidence was stronger than the theoretical evidence. These were healthcare management focus, adaptive trials, and regulatory enforcement.


Subject(s)
Drug Industry , Research , Cost-Benefit Analysis , Humans , Models, Theoretical
3.
PDA J Pharm Sci Technol ; 67(4): 297-306, 2013.
Article in English | MEDLINE | ID: mdl-23872441

ABSTRACT

This paper is part of a research study that is intended to identify pharmaceutical quality risks induced by the ongoing transformation in the industry. This study establishes the current regulatory context by characterizing the development of the pharmaceutical regulatory environment. The regulatory environment is one of the most important external factors that affects a company's organization, processes, and technological strategy. This is especially the case with the pharmaceutical industry, where its products affect the quality of life of the consumers. The quantitative analysis of regulatory events since 1813 and review of the associated literature resulted in identification of six factors influencing the regulatory environment, namely public health protection, public health promotion, crisis management, harmonization, innovation, and modernization. From 1813 to the 1970s the focus of regulators was centered on crisis management and public health protection-a basic mission that has remained consistent over the years. Since the 1980s a gradual move in the regulatory environment towards a greater focus on public health promotion, international harmonization, innovation, and agency modernization may be seen. LAY ABSTRACT: The pharmaceutical industry is currently going through changes that affect the way it performs its research, manufacturing, and regulatory activities. The impact of these changes on the approaches to quality risk management requires more understanding. The authors are engaged in research to identify elements of the changes that influence pharmaceutical quality. As quality requirements are an integral part of the pharmaceutical regulations, a comprehensive understanding of these regulations is seen as the first step. The results of this study show that (i) public health protection, public health promotion, crisis management, harmonization, innovation, and modernization are factors that affect regulations in the pharmaceutical industry; (ii) the regulators' main mission of public health protection has remained a constant feature over the years; and (iii) since the 1970s other factors such as public health promotion, international harmonization, innovation, and agency modernization are playing more important role in regulatory agency thinking and actions.


Subject(s)
Drug Industry , Quality of Life , Environment , Health Promotion , Humans , Pharmaceutical Preparations , Pharmacy , Public Health , United States
4.
PDA J Pharm Sci Technol ; 67(3): 229-46, 2013.
Article in English | MEDLINE | ID: mdl-23752750

ABSTRACT

This paper is the fourth in a series that explores ongoing transformation in the pharmaceutical industry and its impact on pharmaceutical quality from the perspective of risk identification. The aim of this paper is to validate proposed quality risks through elicitation of expert opinion and define the resultant quality risk model. Expert opinion was obtained using a questionnaire-based survey with participants with recognized expertise in pharmaceutical regulation, product lifecycle, or technology. The results of the survey validate the theoretical and operational evidence in support of the four main pharmaceutical transformation triggers previously identified. The quality risk model resulting from the survey indicated a firm relationship between the pharmaceutical quality risks and regulatory compliance outcomes during the marketing approval and post-marketing phases of the product lifecycle and a weaker relationship during the pre-market evaluation phase. LAY ABSTRACT: In this paper through conduct of an expert opinion survey the proposed quality risks carried forward from an earlier part of the research are validated and resultant quality risk model is defined. The survey results validate the theoretical and operational evidence previously identified. The quality risk model indicates that transformation-related risks have a larger regulatory compliance impact during product approval, manufacturing, distribution, and commercial use than during the development phase.


Subject(s)
Drug Industry , Marketing , Chemistry, Pharmaceutical , Economics, Pharmaceutical , Humans , Public Opinion , Research , Risk , Surveys and Questionnaires , Technology, Pharmaceutical
5.
PDA J Pharm Sci Technol ; 67(2): 105-22, 2013.
Article in English | MEDLINE | ID: mdl-23569072

ABSTRACT

The evolutionary development of pharmaceutical transformation was studied through systematic review of the literature. Fourteen triggers were identified that will affect the pharmaceutical business, regulatory science, and enabling technologies in future years. The relative importance ranking of the transformation triggers was computed based on their prevalence within the articles studied. The four main triggers with the strongest literature evidence were Fully Integrated Pharma Network, Personalized Medicine, Translational Research, and Pervasive Computing. The theoretical quality risks for each of the four main transformation triggers are examined, and the remaining ten triggers are described. LAY ABSTRACT: The pharmaceutical industry is currently going through changes that affect the way it performs its research, manufacturing, and regulatory activities (this is termed pharmaceutical transformation). The impact of these changes on the approaches to quality risk management requires more understanding. In this paper, a comprehensive review of the academic, regulatory, and industry literature were used to identify 14 triggers that influence pharmaceutical transformation. The four main triggers, namely Fully Integrated Pharma Network, Personalized Medicine, Translational Research, and Pervasive Computing, were selected as the most important based on the strength of the evidence found during the literature review activity described in this paper. Theoretical quality risks for each of the four main transformation triggers are examined, and the remaining ten triggers are described.


Subject(s)
Drug Industry , Risk Management , Chemistry, Pharmaceutical , Humans , Industry , Research , Translational Research, Biomedical
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