Hybrid Closed Loop Insulin Pump use in Poorly Controlled Type 1 Diabetes
混合闭环胰岛素泵在控制不佳的 1 型糖尿病中的应用
基本信息
- 批准号:10611478
- 负责人:
- 金额:$ 20.17万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-04-19 至 2027-03-31
- 项目状态:未结题
- 来源:
- 关键词:AchievementAddressAdultAlgorithmsAmericanAreaAwardBlood Glucose Self-MonitoringBlood VesselsBypassCalibrationCaringCessation of lifeClinicalClinical TrialsClinical Trials DesignComplexComputerized Medical RecordContinuous Glucose MonitorCountyDataData AnalysesData CollectionDevelopmentDiabetes MellitusDisparityDocumentationDoseEducationElectronic Health RecordEndocrinologistEnrollmentEvaluationExclusionFingersFundingFutureGlycosylated hemoglobin AGoalsGuidelinesHealth ServicesHealth systemHealthcare SystemsHybridsInjectionsInsulinInsulin Infusion SystemsInsulin-Dependent Diabetes MellitusInterventionK-Series Research Career ProgramsKnowledgeLos AngelesMedicalMentored Patient-Oriented Research Career Development AwardMethodsNational Institute of Diabetes and Digestive and Kidney DiseasesNatural Language ProcessingOutcomePaperPatient CarePatientsPopulationPositioning AttributePrincipal InvestigatorPublishingPumpQuality of lifeRandomized, Controlled TrialsRecommendationResearchResearch PersonnelResearch TrainingRiskSelf ManagementSeriesSocioeconomic StatusSystemTechnologyTimeTrainingVulnerable Populationsaccess disparitiesbasal insulincare burdenclinical caredesigndiabetes controldiabetes managementeffectiveness evaluationefficacy evaluationethnic minorityexperienceglucose monitorglycemic controlhealth care settingshigh riskhigh risk populationimprovedimproved outcomeinterestlow health literacylow socioeconomic statusmonitoring devicenew technologynovelpatient orientedpatient populationracial minorityreal time monitoringsafety netsatisfactionsensorskills
项目摘要
Project Summary/Abstract
This career development award will establish me (Dr. Estelle Everett MD, MHS), as an independent
investigator focused on evaluating and addressing disparities in management and outcomes in vulnerable
patient populations with type 1 diabetes (T1D). This K23 award will provide the support I need to develop
expertise in three key areas: 1) EMR-based retrospective data analysis and natural language processing
(NLP) methods, 2) clinical trial design, implementation, and analysis, and 3) qualitative study development,
data collection and analysis.
After receiving my medical and research training in at Johns Hopkins and publishing a series of general
diabetes papers, my research interests have increasingly focused on patients with poorly controlled T1D. I
am committed to improving care and outcomes in this complex group of patients whose long duration of T1D
increases their risk of developing complications early in their lifetime. Although diabetes technology has
revolutionized T1D management, disparities in technology access are evident among racial-ethnic minorities,
patients with lower socioeconomic status and those with poorly controlled T1D.
To help address these gaps, it is critical to leverage electronic health record (EHR) data to readily identify
patients experiencing diabetes technology disparities. In order to examine whether diabetes technology can
reduce diabetes care burdens and enhance outcomes among some of highest need patients, we need to
expand diabetes technology clinical trials beyond the very select populations included thus far (ie., mostly
White, higher SES). Therefore, I propose to: 1) To develop and validate a novel electronic medical record
(EMR) algorithm using natural language processing (NLP) to identify insulin pump and/or CGM use among
patients with type 1 diabetes; 2) To perform a pilot RCT of hybrid closed-loop insulin pump therapy (HCL) in
40 diverse adult patients with poorly controlled T1D (HbA1c >9%) from the largest academic and safety net
health systems in the Los Angeles region; and 3) To identify facilitators and barriers of effective use of
closed loop insulin pump therapy in patients with poorly controlled T1D. Findings from Aim 1 can be readily
used to support T1D care in other settings and findings from Aims 2 and 3 will also be used to inform a future
RCT as part of a future NIDDK R01 application. This K23 award will provide the support to complete these
aims and my educational objectives, which will provide me with the training and skills needed to become a
national leader and independent clinician-investigator aimed to improve outcomes in vulnerable populations
with T1D.
项目总结/文摘
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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Estelle Marla Everett其他文献
24. Predictors of Hypertensive Disorder and Preterm Labor in Pediatric Pregnancies with and without Type 1 Diabetes
- DOI:
10.1016/j.jadohealth.2022.11.041 - 发表时间:
2023-03-01 - 期刊:
- 影响因子:
- 作者:
Estelle Marla Everett;Tim Copeland;Tannaz Moin;Christina Han;Michael Richley;Lauren Wisk - 通讯作者:
Lauren Wisk
Estelle Marla Everett的其他文献
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{{ truncateString('Estelle Marla Everett', 18)}}的其他基金
Hybrid Closed Loop Insulin Pump use in Poorly Controlled Type 1 Diabetes
混合闭环胰岛素泵在控制不佳的 1 型糖尿病中的应用
- 批准号:
10429863 - 财政年份:2022
- 资助金额:
$ 20.17万 - 项目类别:
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