USING INFORMATION TECHNOLOGY TO IMPROVE ASTHMA ADHERENCE

利用信息技术提高哮喘依从性

基本信息

  • 批准号:
    6970551
  • 负责人:
  • 金额:
    $ 35.79万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-09-01 至 2009-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): It has been estimated that regular use of inhaled corticosteroids (ICS) could reduce asthma-related hospitalization by 80%. Inhaled corticosteroids can significantly improve lung function, as well as prevent asthma exacerbations and death. Yet, ICS use remains low among patients with asthma, and studies measuring ICS adherence suggest that patients take their prescribed dose on only 20% to 73% of days. Together these findings suggest that increase adherence to ICS could result in significant improvements in asthma-related outcomes. Unfortunately, few behavioral or educational interventions have been shown to be very effective at improving adherence and asthma control, despite in some cases considerable time invested with the patient. Given the importance of adherence information to clinical decision making and disease management, it is surprising that not until recently have there been studies looking at the effects of providing this information to physicians. However, even the limited evidence from these small studies suggests that simply providing adherence information to clinicians can have a profound influence on patient adherence. One challenge is how to provide adherence information in the clinic setting where time and resources are often limited. Weighing canisters and electronic recording devices have been used to measure adherence to ICS, but these methods are too time consuming and expensive to be used by most clinicians. Medication adherence can also be estimated using pharmacy claims data. Since claims data are collected for other reasons, these pharmacy-based adherence measures are relatively inexpensive to generate and they are available on a large number of patients. This application seeks to develop and test a tool, which feeds back adherence information to physicians via the electronic medical record. These adherence measures will be generated by linking prescription data to pharmacy claims. This method has the potential benefit of being both easily use in clinical practice and financially sustainable. After a baseline period, primary care physicians will be randomized to receive ICS adherence information on their patients with persistent asthma. The primary outcomes will be the change in adherence from baseline and the difference in adherence between treatment groups. Also assessed will be changes from baseline and differences between the treatment and control groups in patient-clinician communication, patient attitudes toward adherence, outcomes related to disease control, and medical care costs.
描述(由申请人提供):据估计,定期使用吸入性皮质类固醇 (ICS) 可以减少 80% 的哮喘相关住院治疗。吸入皮质类固醇可以显着改善肺功能,并预防哮喘恶化和死亡。然而,哮喘患者中 ICS 的使用率仍然较低,测量 ICS 依从性的研究表明,患者仅在 20% 至 73% 的天数中服用处方剂量。这些发现共同表明,增加 ICS 的依从性可能会显着改善哮喘相关的结果。不幸的是,尽管在某些情况下为患者投入了大量时间,但很少有行为或教育干预措施被证明对提高依从性和哮喘控制非常有效。鉴于依从性信息对临床决策和疾病管理的重要性,令人惊讶的是直到最近才有研究探讨向医生提供这些信息的效果。然而,即使这些小型研究的证据有限也表明,仅仅向临床医生提供依从性信息就可以对患者的依从性产生深远的影响。一项挑战是如何在时间和资源通常有限的诊所环境中提供依从性信息。称重罐和电子记录设备已用于测量 ICS 的依从性,但这些方法过于耗时且昂贵,大多数临床医生无法使用。药物依从性也可以使用药房索赔数据来估计。由于索赔数据是出于其他原因收集的,因此这些基于药房的依从性测量的生成成本相对较低,并且可用于大量患者。该应用程序旨在开发和测试一种工具,该工具通过电子病历向医生反馈依从性信息。这些依从性衡量标准将通过将处方数据与药房索赔相关联来生成。该方法具有易于在临床实践中使用且经济上可持续的潜在好处。基线期过后,初级保健医生将被随机接收有关持续性哮喘患者的 ICS 依从性信息。主要结果将是依从性相对于基线的变化以及治疗组之间依从性的差异。还评估了基线的变化以及治疗组和对照组在患者与临床医生沟通、患者对依从性的态度、与疾病控制相关的结果以及医疗费用方面的差异。

项目成果

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Keoki Williams其他文献

Keoki Williams的其他文献

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{{ truncateString('Keoki Williams', 18)}}的其他基金

High-resolution characterization of human leukocyte antigen genes in diverse populations to study the genetics of food allergy
对不同人群中的人类白细胞抗原基因进行高分辨率表征,以研究食物过敏的遗传学
  • 批准号:
    10665162
  • 财政年份:
    2022
  • 资助金额:
    $ 35.79万
  • 项目类别:
Poly-omic Study of Asthma Exacerbations in Diverse Populations
不同人群哮喘加重的多组学研究
  • 批准号:
    10094077
  • 财政年份:
    2019
  • 资助金额:
    $ 35.79万
  • 项目类别:
Poly-omic Study of Asthma Exacerbations in Diverse Populations
不同人群哮喘加重的多组学研究
  • 批准号:
    10337191
  • 财政年份:
    2019
  • 资助金额:
    $ 35.79万
  • 项目类别:
Leveraging electronic medical records to perform large-scale diabetes pharmacogenomics among ancestrally diverse patient populations
利用电子病历在祖先不同的患者群体中进行大规模糖尿病药物基因组学研究
  • 批准号:
    9283738
  • 财政年份:
    2017
  • 资助金额:
    $ 35.79万
  • 项目类别:
Leveraging electronic medical records to perform large-scale diabetes pharmacogenomics among ancestrally diverse patient populations
利用电子病历在祖先不同的患者群体中进行大规模糖尿病药物基因组学研究
  • 批准号:
    9895775
  • 财政年份:
    2017
  • 资助金额:
    $ 35.79万
  • 项目类别:
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed Populations
结合转录组学和基因组学在混合人群中寻找哮喘基因
  • 批准号:
    9002073
  • 财政年份:
    2014
  • 资助金额:
    $ 35.79万
  • 项目类别:
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed Populations
结合转录组学和基因组学在混合人群中寻找哮喘基因
  • 批准号:
    8795754
  • 财政年份:
    2014
  • 资助金额:
    $ 35.79万
  • 项目类别:
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed Populations
结合转录组学和基因组学在混合人群中寻找哮喘基因
  • 批准号:
    8629342
  • 财政年份:
    2014
  • 资助金额:
    $ 35.79万
  • 项目类别:
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMA
哮喘患者吸入皮质类固醇反应的药物基因组学
  • 批准号:
    7649069
  • 财政年份:
    2009
  • 资助金额:
    $ 35.79万
  • 项目类别:
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMA
哮喘患者吸入皮质类固醇反应的药物基因组学
  • 批准号:
    8035465
  • 财政年份:
    2009
  • 资助金额:
    $ 35.79万
  • 项目类别:

相似海外基金

EHR Decision Support to Improve Outpatient Asthma Care
EHR 决策支持改善门诊哮喘护理
  • 批准号:
    7008379
  • 财政年份:
    2006
  • 资助金额:
    $ 35.79万
  • 项目类别:
USING INFORMATION TECHNOLOGY TO IMPROVE ASTHMA ADHERENCE
利用信息技术提高哮喘依从性
  • 批准号:
    7116251
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  • 批准号:
    7118749
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    2004
  • 资助金额:
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  • 项目类别:
Electronic Records to Improve Care for Children
电子记录改善儿童护理
  • 批准号:
    6951369
  • 财政年份:
    2004
  • 资助金额:
    $ 35.79万
  • 项目类别:
Electronic Records to Improve Care for Children
电子记录改善儿童护理
  • 批准号:
    6891119
  • 财政年份:
    2004
  • 资助金额:
    $ 35.79万
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