MODELING TREATMENT USE & EFFECTIVENESS IN MENTAL ILLNESS

模拟治疗使用

基本信息

  • 批准号:
    6287064
  • 负责人:
  • 金额:
    $ 44.53万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2001
  • 资助国家:
    美国
  • 起止时间:
    2001-02-01 至 2004-01-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (Applicant's abstract): This application seeks support for a team of statisticians, economists, clinicians, and mental health services researchers to collaborate on the development and application of discrete choice models for understanding treatment use and for causal inferences in experimental and naturalistic studies of mental illness. By studying how patients are matched with treatments in extant systems, researchers will gain greater insight into the determinants of quality of care. The Specific Aims will involve the 1) extension of likelihood-based methods to estimate treatment effectiveness at the levels actually received using experimental data from two influential clinical trials (Schulberg, Block, Madonia et al., Acrh Gen Psychiatry 1996;53:913-9 & Rosenheck, Neale, Arch Gen Psychiatry 1998;55:459-66) and to compare these estimates with those based on conventional approaches, such as intention-to-treat, adequate, and completer principles, 2) development of new models of discrete choice to explain variation in treatment use based on patient, provider, and insurance characteristics for privately insured and Medicaid beneficiaries, and 3) application of these discrete choice models to explain variation in adherence with treatment recommendations and in treatment effectiveness for depression and for schizophrenia across a diverse array of practice settings. An Advisory Board comprised of leaders in statistics, economics, and psychiatry will convene annually to validate methods and ensure integration of techniques into mental health services research. The methodological advances from this research will enable mental health researchers and policy makers to better characterize usual care and to expand the inferences drawn from clinical trials.
描述(申请人摘要):本申请为一个团队寻求支持

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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SHARON-LISE Teresa NORMAND其他文献

SHARON-LISE Teresa NORMAND的其他文献

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{{ truncateString('SHARON-LISE Teresa NORMAND', 18)}}的其他基金

Modern Analytics to Improve Quality & Outcome Assessments Following Congenital Heart Surgery
现代分析提高质量
  • 批准号:
    10419358
  • 财政年份:
    2022
  • 资助金额:
    $ 44.53万
  • 项目类别:
Modern Analytics to Improve Quality & Outcome Assessments Following Congenital Heart Surgery
现代分析提高质量
  • 批准号:
    10641880
  • 财政年份:
    2022
  • 资助金额:
    $ 44.53万
  • 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
  • 批准号:
    9211341
  • 财政年份:
    2015
  • 资助金额:
    $ 44.53万
  • 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
  • 批准号:
    8882683
  • 财政年份:
    2015
  • 资助金额:
    $ 44.53万
  • 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
  • 批准号:
    9024579
  • 财政年份:
    2015
  • 资助金额:
    $ 44.53万
  • 项目类别:
THE MDEPINET MEDICAL COUNTER MEASURES STUDY
MDEPINET 医疗对策研究
  • 批准号:
    8464322
  • 财政年份:
    2012
  • 资助金额:
    $ 44.53万
  • 项目类别:
Economic Impacts of New Drugs
新药的经济影响
  • 批准号:
    7097410
  • 财政年份:
    2004
  • 资助金额:
    $ 44.53万
  • 项目类别:
Modeling Treatment Use & Effectiveness In Mental Illness
建模治疗用途
  • 批准号:
    7258897
  • 财政年份:
    2001
  • 资助金额:
    $ 44.53万
  • 项目类别:
Modeling Treatment Use & Effectiveness In Mental Illness
建模治疗用途
  • 批准号:
    7121646
  • 财政年份:
    2001
  • 资助金额:
    $ 44.53万
  • 项目类别:
Modeling Treatment Use & Effectiveness In Mental Illness
建模治疗用途
  • 批准号:
    6985034
  • 财政年份:
    2001
  • 资助金额:
    $ 44.53万
  • 项目类别:

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