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A database model of drug usage in pregnancy and lactation according to user information requirements.

机译:根据用户信息要求的妊娠和哺乳期用药数据库模型。

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摘要

The information needs of a population of gynaecologists and obstetricians concerning drug administration in pregnancy and lactation, were investigated, employing the triangulation approach. This involves the application of three analytical tools; content analysis, focus group interviews and a structured questionnaire. Content analysis was performed on queries submitted to two representative Drug Information Centres (DICs); the focus group interviews (FGIs) of gynaecologists and obstetricians were conducted in hospital departments; and the questionnaire was distributed among the majority of Israeli gynaecologists and obstetricians. The combination of complementary methods used constitutes a powerful tool for data assembly and for validation of conclusions. Statistical analysis of the results reveals a relation between information usage and background variables, such as country of study, place of work and teaching position. In addition, a relation was found between information usage and attitude towards drug administration. Based on this analysis, a typology of users' profile was drawn and their information needs defined. A scheme of the pattern of drug information usage was delineated, leading to the designing of a database model to meet the information requirements. Several drugs were selected to be included in the model, representing various pharmaceutical groups, different degrees of risk for the fetus and different amounts of available information about potential teratogenicity and toxicity. AskSam+ hypertext software was chosen to create the database due to its flexibility, ease of updating and enhanced text retrieval capability. Data are stored in a network of nodes connected through links. Each structured node contains all the information on a single drug; its names, risk factor, teratogenicity, fetal toxicity, mutagenicity and oncogenicity, all based upon and followed by a bibliographic list. These attributes are each assigned to a structural node and related hierarchically to body systems, organs and related pathology. The database is user friendly, allows rapid retrieval of information and is easily installed on a PC in the gynaecologists and obstetricians' office. This model can also be readily adapted to other medical disciplines, according to their specific needs.
机译:利用三角测量法,调查了一群妇科医生和妇产科医生在妊娠和哺乳期有关药物管理的信息需求。这涉及到三个分析工具的应用。内容分析,焦点小组访谈和结构化问卷。内容分析是对提交给两个代表性药品信息中心(DIC)的查询进行的;在医院科室进行了妇科医生和妇产科医生的焦点小组访谈(FGI);问卷已分发给大多数以色列妇科医生和妇产科医生。所使用的补充方法的组合构成了强大的工具,可用于数据组装和结论验证。结果的统计分析揭示了信息使用与背景变量之间的关系,例如研究国家,工作地点和教学位置。另外,在信息使用和对药物管理的态度之间发现了一种关系。基于此分析,得出了用户个人资料的类型,并定义了他们的信息需求。描绘了一种药物信息使用模式的方案,从而设计出满足信息需求的数据库模型。模型中选择了几种药物,分别代表不同的药物类别,对胎儿的不同风险程度以及关于潜在致畸性和毒性的不同数量的可用信息。选择AskSam +超文本软件来创建数据库是因为它具有灵活性,易于更新和增强的文本检索功能。数据存储在通过链接连接的节点网络中。每个结构化节点均包含有关单一药物的所有信息;它的名称,危险因素,致畸性,胎儿毒性,诱变性和致癌性,均基于书目清单,并在其后跟随。这些属性每个都分配给一个结构节点,并与身体系统,器官和相关病理层次相关。该数据库是用户友好的,可以快速检索信息,并且可以容易地安装在妇产科医生办公室的PC上。根据他们的特定需求,该模型也可以很容易地适应其他医学学科。

著录项

  • 作者

    Handzel, Ruth.;

  • 作者单位

    University of London, University College London (United Kingdom).;

  • 授予单位 University of London, University College London (United Kingdom).;
  • 学科 Obstetrics.;Pharmaceutical sciences.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 199 p.
  • 总页数 199
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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