课题基金 / 基金详情

项目摘要

项目成果

STEVEN C MARCUS的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): Impact: Advancing an epidemiological approach to patient safety for inpatient mental health care at the VA is integral to an agenda that uses empirical evidence to ensure that patients with serious mental illness receive care in a safe and therapeutic environment. Background: Reducing adverse events has become a central focus of the health care system over the last two decades both within and outside of the VA. However, patients with mental disorders have been excluded from the major research in this field. Objectives: The current application seeks to 1) Assess the incidence and nature of adverse events that occur within VA medical center inpatient psychiatric units and identify patient characteristics associated with these events; 2) Compare events detected through an epidemiologic record review with those reported to the VHA's adverse event reporting system, to assess the completeness of the information currently available through this system; and 3) Use qualitative methods to understand the mechanisms by which patient, provider, and organizational factors improve or impede patient safety in the VHA system, in order to refine a conceptual model of patient safety in psychiatry. Methods: The study will draw from a national sample of 40 VA psychiatric units and examine 12,000 hospitalizations, with the goal of addressing the objectives of the study by gathering and understanding representative data to inform VA practice and policy.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Administrative Data Transfer Masking, Access, and Ethics Core
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
  • 批准号:
    10277514
  • 项目类别:
  • 资助金额:
    $78.42万
  • 财政年份:
    2021
  • 负责人:
    STEVEN C MARCUS
  • 依托单位:
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
  • 批准号:
    10462646
  • 项目类别:
  • 资助金额:
    $72.62万
  • 财政年份:
    2021
  • 负责人:
    STEVEN C MARCUS
  • 依托单位:
Development and clinical interpretation of machine learning emergency department suicide prediction algorithms using electronic health records and claims
  • 批准号:
    10631239
  • 项目类别:
  • 资助金额:
    $69.24万
  • 财政年份:
    2021
  • 负责人:
    STEVEN C MARCUS
  • 依托单位:
海外基金