PATIENT GENDER AND PSYCHOTROPIC PRESCRIBING

该项目的重点是如何在医生和病人的差异 相互作用可能会影响处方的差异， 精神科药物，男性和女性病人在门诊护理 设置. 为了更好地理解这个问题，我们将使用 现有的550个医患互动录音带数据集， 11种不同的门诊护理设置。 我们的总体目标是测试一个 我们认为，精神药物处方的干预模式可能 有助于更好地解释精神药物处方的现有变化 给男性和女性患者用药。 首先，我们将转录所有的录音带。 接下来，我们将开发 并检验了两种编码工具的信度和效度， 患者表达量表和治疗讨论量表。 我们 然后将使用这些工具来编码转录的医生-病人 交互. 最后，我们将使用这些信息来测试我们的建议。 精神科处方的干预模式。 层次逻辑 将使用回归技术来测试该模型。

The proposed project is focused on how differences in the physician-patient interaction may be influencing differences in the prescribing of psychotropic medications to male and female patients in ambulatory care settings. To gain a better understanding of this problem, we will use an existing data set of 550 audio-tapes of physician-patient interactions from 11 different ambulatory care settings. Our overall goal is to test an interactional model of psychotropic drug prescribing that we believe may help better explain existing variability in the prescribing of psychotropic medications to male and female patients. First, we will transcribe all of the audio-tapes. Next, we will develop and test the reliability and validity of two coding instruments, the Patient Expression Inventory and the Treatment Discussion Inventory. We will then use these instruments to code the transcribed physician-patient interactions. Finally, we will use this information to test our proposed interactional model of psychotropic prescribing. Hierarchial logistic regression techniques will be used to test the model.