Communication errors during antibiotic management calls

抗生素管理呼叫期间的通信错误

• 批准号: 6780434
• 负责人: DARREN R. LINKIN
• 金额: $ 0.43万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2004-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6780434
• 关键词: antibiotics; clinical research; communication; data management; health care personnel performance; health care quality; health services research tag; human data; patient care management; patient safety /medical error; postdoctoral investigator; telemedicine

DESCRIPTION: Medication errors are a significant cause of mortality in hospitalized patients, and antimicrobials are the drug class most commonly implicated. Pre-approval antimicrobial management programs (AMPs) improve patient outcomes by guiding the prescribing of antibiotics. However, the interactions between AMP consultants and primary health care teams may be prone to errors in communication that limit the benefit of these programs. We will perform a retrospective cohort study to determine the effect of inaccurate communication of patient data (from physicians caring for patients to the AMP practitioners) on inappropriate antimicrobial recommendations. The quality of patient data recorded by the AMP practitioners will be judged compared to the patient medical record. A panel of experts will rate the appropriateness of the actual recommendations given by the AMP practitioner after reviewing the actual data associated with each case. Multivariate regression modeling will be used to evaluate the independent effect of any inaccurate communications on the risk for inappropriate recommendations, controlling for characteristics of the provider, patient, and AMP practitioner. The results of our study will be applied in a future intervention study, using clinical outcomes as an endpoint.

描述：用药错误是住院患者死亡的一个重要原因，而抗菌药物是最常涉及的药物类别。预先批准的抗菌药物管理计划 (AMP) 通过指导抗生素处方来改善患者的治疗效果。然而，AMP 顾问和初级卫生保健团队之间的互动可能容易出现沟通错误，从而限制了这些计划的益处。我们将进行一项回顾性队列研究，以确定患者数据（从护理患者的医生到 AMP 从业人员）的不准确沟通对不适当的抗菌建议的影响。 AMP 从业人员记录的患者数据的质量将与患者的医疗记录进行比较来判断。在审查与每个案例相关的实际数据后，专家小组将评估 AMP 从业者给出的实际建议的适当性。多元回归模型将用于评估任何不准确的沟通对不适当建议风险的独立影响，并控制提供者、患者和 AMP 从业者的特征。我们的研究结果将应用于未来的干预研究，以临床结果作为终点。