PATIENT DECISION MAKING ABOUT ANTIDEPRESSANT MEDICATION

患者关于抗抑郁药物的决策

基本信息

  • 批准号:
    6613783
  • 负责人:
  • 金额:
    $ 11.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-06-15 至 2005-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (Applicant's abstract): The purpose of this application is to prepare the PI for an independent research career focused on primary care mental health services for depression. Depression is a highly prevalent primary care health problem with impact comparable to the burden of major medical illness, and is associated with high morbidity, mortality, diminished quality of life, and health services costs ($44 billion in 1990). Although effective depression treatments including medication are available, a majority of primary care patients who are prescribed antidepressant medication decide to either decline or discontinue medication soon after starting it. Little is known about how people make depression treatment decisions, including key influences on decision making and appropriateness of decision making as related to health status and health system outcomes. Research on patient decision making can provide information that is needed to develop patient-focused interventions to improve depression treatment outcomes. The aims of the proposed award are for the PI to: 1) develop knowledge of health services research concepts and methods for primary care and mental health services research; 2) develop and test measurement and analytic strategies for examining relationships between primary care patient decision making, antidepressant medication use, and health services outcomes; and 3) conduct two pilot studies as the basis for a R01 application to test a nurse-implemented patient decision support intervention for depression treatment in primary care. The PI will gain needed health services research skills to carry out these aims through a program of formal course work, directed study, and supervised research field experiences. The goal of research Project #1, a patient decision support intervention for primary care depression treatment will be pilot-tested for feasibility in research Project #2. The PI's long-term goal is to improve the quality of primary care services for depression through implementation of decision support interventions for diverse populations of patients undergoing depression treatment.
描述(申请人摘要):本申请的目的是 准备PI的独立研究生涯专注于初级保健 抑郁症的心理健康服务。抑郁症是一种非常普遍的原发性 护理健康问题的影响相当于主要医疗负担 疾病,并与高发病率,死亡率,降低质量 生活和卫生服务费用(1990年为440亿美元)。虽然有效 抑郁症的治疗包括药物治疗是可用的,大多数原发性 服用抗抑郁药物的护理患者决定 在开始用药后不久就拒绝或停止用药。 人们如何做出抑郁症治疗决定,包括对 与健康有关的决策和决策的适当性 状况和卫生系统结果。对患者决策的研究可以 提供制定以患者为中心的干预措施所需的信息, 改善抑郁症治疗效果。该奖项的目的是为了 PI:1)发展卫生服务研究概念的知识, 初级保健和精神卫生服务研究的方法; 2)制定和 检查之间关系的测试测量和分析策略 初级保健患者决策,抗抑郁药物使用和健康 服务成果;以及3)开展两项试点研究,作为R 01的基础 测试护士实施的患者决策支持干预的应用程序 用于初级保健中的抑郁症治疗。PI将获得所需的健康值 服务研究技能,通过一个正式的程序来实现这些目标 课程工作,指导学习,并监督研究领域的经验。的 研究项目#1的目标,患者决策支持干预, 初级保健抑郁症治疗将进行试点测试的可行性, 研究项目#2 PI的长期目标是提高 通过实施决策支持为抑郁症提供初级保健服务 对不同抑郁症患者人群的干预 治疗

项目成果

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Celia E. Wills其他文献

Nurses' judgments regarding seclusion and restraint of psychiatric patients: a social judgment analysis.
护士对精神病患者隔离和约束的判断:社会判断分析。
  • DOI:
    10.1002/(sici)1098-240x(199906)22:3<189::aid-nur2>3.0.co;2-q
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    2
  • 作者:
    Holzworth Rj;Celia E. Wills
  • 通讯作者:
    Celia E. Wills

Celia E. Wills的其他文献

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{{ truncateString('Celia E. Wills', 18)}}的其他基金

PATIENT DECISION MAKING ABOUT ANTIDEPRESSANT MEDICATION
患者关于抗抑郁药物的决策
  • 批准号:
    6738167
  • 财政年份:
    2000
  • 资助金额:
    $ 11.75万
  • 项目类别:
PATIENT DECISION MAKING ABOUT ANTIDEPRESSANT MEDICATION
患者关于抗抑郁药物的决策
  • 批准号:
    6538277
  • 财政年份:
    2000
  • 资助金额:
    $ 11.75万
  • 项目类别:
PATIENT DECISION MAKING ABOUT ANTIDEPRESSANT MEDICATION
患者关于抗抑郁药物的决策
  • 批准号:
    6128012
  • 财政年份:
    2000
  • 资助金额:
    $ 11.75万
  • 项目类别:
PATIENT DECISION MAKING ABOUT ANTIDEPRESSANT MEDICATION
患者关于抗抑郁药物的决策
  • 批准号:
    6391425
  • 财政年份:
    2000
  • 资助金额:
    $ 11.75万
  • 项目类别:
RESEARCH TRAINING IN NURSING AND PSYCHOLOGY
护理和心理学研究培训
  • 批准号:
    2258760
  • 财政年份:
    1995
  • 资助金额:
    $ 11.75万
  • 项目类别:
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