Improving Food Allergy Management through an Electronic Physician Support Tool
通过电子医生支持工具改善食物过敏管理
基本信息
- 批准号:8584033
- 负责人:
- 金额:$ 22.66万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-05-15 至 2015-04-30
- 项目状态:已结题
- 来源:
- 关键词:AffectAlgorithmsAllergensCaregiversCaringCessation of lifeChildChildhoodClinicClinicalClinical Decision Support SystemsCounselingDevelopmentDiagnosisDiagnosticDiagnostic testsDocumentationEducationEducational process of instructingElectronicsEpinephrineFamilyFoodFood HypersensitivityFutureGoalsGuidelinesHealthHospitalizationInjectableInstructionInterventionKnowledgeLeadLifeMedicalMedical RecordsNational Institute of Allergy and Infectious DiseaseOutcomePatient EducationPerformancePharmaceutical PreparationsPhysiciansPlayPrimary Health CarePrintingProcessProviderQuality of CareRandomized Controlled TrialsReactionRecording of previous eventsResearchResidenciesResourcesRoleSolutionsSymptomsSystemTestingTrainingUnited StatesWorkbaseclinical decision-makingclinical practicecomputerizedevidence basefood allergenhealth care qualityimprovedprimary care settingpublic health relevancesatisfactiontool
项目摘要
DESCRIPTION (provided by applicant): Food allergy is a growing and potentially life-threatening concern in the United States that affects an estimated 8% of children. Primary care clinicians are often the first resource for affected families and play a critical role in the diagnsis of children with food allergy. Accordingly, recognition and proper management of food allergy in the primary care setting is critical and may prove life-saving. Our previous work suggests that primary care clinicians in the US have many misconceptions regarding food allergy management. In addition, physicians themselves expressed concern regarding their ability to manage food allergy effectively. Furthermore, our research shows that one in three children with a convincing history of food-induced reactions have never received a formal diagnosis. Recent results from chart reviews suggest that: 1) physicians are often making a diagnosis of food allergy without obtaining an appropriate clinical history and testing; 2) physicians are not consistently prescribing injectable epinephrine; and 3) little counseling about food allergy management is being documented in the medical record. Goal: To develop and evaluate the feasibility and efficacy of an electronic clinical decision support tool to improve the diagnosis and management of food allergy in the primary care setting. We hypothesize that the development of an evidence-based food allergy clinical decision support tool, optimized for use in clinical practice, will improve the primary care clinical practice of food allergy in children. Specific Aims: The specific aims of this study are to: 1) develop a Food Allergy Support Tool (FAST), based on the most recent NIAID guidelines, to improve the diagnosis and management of food allergy in the primary care setting. The FAST will include prompts for symptom recognition, testing, medications, education/counseling, and allergist referral. It will also faciltate patient education by making available allergen- specific materials, in both video and print formats; 2) Test the feasibility of use of the FAST in three pediatric primary care clinics by usin rapid cycle process improvement to integrate the FAST into the systems and processes of primary care, and assessing clinicians' satisfaction and ease of use; and 3) Determine the efficacy of the FAST by evaluating medical record documentation for clinical history of reactions, diagnostic testing and interpretation, medication prescription and instruction in use, counseling and education for patients/caregivers, and referral to an allergist. Next Steps: This project will result in the development of an evidence-based food allergy support tool (FAST) that will have undergone robust feasibility testing for use in primary care. The outcomes from this project will permit a future randomized control trial of a FAST intervention to families to determine its abilit to improve quality of care and health outcomes for children with food allergy.
描述(由申请人提供):在美国,食物过敏是一个日益增长的潜在威胁生命的问题,估计影响8%的儿童。初级保健医生通常是受影响家庭的第一资源,并在诊断食物过敏儿童中发挥关键作用。因此,在初级保健环境中识别和适当管理食物过敏是至关重要的,可能会挽救生命。 我们以前的工作表明,美国的初级保健临床医生对食物过敏管理有许多误解。此外,医生自己也对他们有效管理食物过敏的能力表示担忧。此外,我们的研究表明,有令人信服的食物诱发反应史的三分之一的儿童从未接受过正式诊断。最近的图表审查结果表明:1)医生经常在没有获得适当的临床病史和测试的情况下诊断食物过敏; 2)医生没有始终如一地处方注射肾上腺素; 3)病历中记录了很少关于食物过敏管理的咨询。目标:开发和评估电子临床决策支持工具的可行性和有效性,以改善初级保健环境中食物过敏的诊断和管理。我们假设,开发一个基于证据的食物过敏临床决策支持工具,优化用于临床实践,将改善儿童食物过敏的初级保健临床实践。具体目标:本研究的具体目的是:1)根据最新的NIAID指南开发食物过敏支持工具(FAST),以改善初级保健环境中食物过敏的诊断和管理。FAST将包括症状识别、测试、药物、教育/咨询和过敏科医生转诊的提示。它还将通过提供视频和打印格式的过敏原特异性材料来促进患者教育; 2)通过使用快速循环过程改进来将FAST整合到初级护理的系统和过程中,并评估临床医生的满意度和易用性,来测试在三个儿科初级护理诊所中使用FAST的可行性;和3)通过评估临床反应史、诊断测试和解释、药物处方和使用说明、对患者/护理人员的咨询和教育以及转诊给过敏症专科医生的医疗记录文件来确定FAST的功效。后续步骤:该项目将开发一种基于证据的食物过敏支持工具(FAST),该工具将经过可靠的可行性测试,用于初级保健。该项目的结果将允许未来对家庭进行FAST干预的随机对照试验,以确定其改善食物过敏儿童护理质量和健康结果的能力。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ruchi S Gupta其他文献
Ruchi S Gupta的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ruchi S Gupta', 18)}}的其他基金
Intervention to Reduce Early (Peanut) Allergy in Children (iREACH)
减少儿童早期(花生)过敏的干预措施 (iREACH)
- 批准号:
10212208 - 财政年份:2019
- 资助金额:
$ 22.66万 - 项目类别:
Intervention to Reduce Early (Peanut) Allergy in Children (iREACH)
减少儿童早期(花生)过敏的干预措施 (iREACH)
- 批准号:
10425291 - 财政年份:2019
- 资助金额:
$ 22.66万 - 项目类别:
Intervention to Reduce Early (Peanut) Allergy in Children (iREACH)
减少儿童早期(花生)过敏的干预措施 (iREACH)
- 批准号:
9982763 - 财政年份:2019
- 资助金额:
$ 22.66万 - 项目类别:
Intervention to Reduce Early (Peanut) Allergy in Children (iREACH)
减少儿童早期(花生)过敏的干预措施 (iREACH)
- 批准号:
10666514 - 财政年份:2019
- 资助金额:
$ 22.66万 - 项目类别:
Food Allergy Management and Outcomes Related to Racial/Ethnic Differences from Infancy through Adolescence: The FORWARD Study
食物过敏管理和与从婴儿期到青春期的种族/民族差异相关的结果:FORWARD 研究
- 批准号:
10446840 - 财政年份:2017
- 资助金额:
$ 22.66万 - 项目类别:
Food Allergy Outcomes Related to White and African American Racial Differences (FORWARD)
与白人和非裔美国人种族差异相关的食物过敏结果(转发)
- 批准号:
9398764 - 财政年份:2017
- 资助金额:
$ 22.66万 - 项目类别:
Food Allergy Management and Outcomes Related to Racial/Ethnic Differences from Infancy through Adolescence: The FORWARD Study
食物过敏管理和与从婴儿期到青春期的种族/民族差异相关的结果:FORWARD 研究
- 批准号:
10580069 - 财政年份:2017
- 资助金额:
$ 22.66万 - 项目类别:
Food Allergy Outcomes Related to White and African American Racial Differences (FORWARD)
与白人和非裔美国人种族差异相关的食物过敏结果(转发)
- 批准号:
9922208 - 财政年份:2017
- 资助金额:
$ 22.66万 - 项目类别:
FORWARD Supplement: Common Data Elements for Food Allergy
FORWARD 补充:食物过敏的通用数据元素
- 批准号:
10868981 - 财政年份:2017
- 资助金额:
$ 22.66万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 22.66万 - 项目类别:
Research Grant














{{item.name}}会员




