A novel algorithm to compute adherence from electronic adherence monitoring devices
一种计算电子依从性监测设备依从性的新算法
基本信息
- 批准号:10516828
- 负责人:
- 金额:$ 22.3万
- 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:2022-09-06 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdherenceAdultAdverse effectsAlgorithm DesignAlgorithmsAntineoplastic AgentsBehaviorBiologicalCessation of lifeChildClinicalClinical TrialsCodeComplexComputer softwareDataDevelopmentDiagnosisDoseEnsureFeedbackFocus GroupsFundingGrantHospitalsHourIntravenousLeadMalignant NeoplasmsManualsMeasurementMeasuresMethodsModificationMonitoring Clinical TrialsNamesNational Cancer InstituteNauseaOncologyOralOutcomeParentsPatient NoncompliancePatient Self-ReportPatientsPersonsPharmaceutical PreparationsPharmacy facilityProceduresProcessProxyPublishingRecordsRegimenRelapseReporterReproducibilityResearchResearch PersonnelRiskRunningScienceScientific Advances and AccomplishmentsSensitivity and SpecificitySeriesSystemTestingTimeTreatment ProtocolsUnited StatesUnited States National Institutes of HealthVisitalgorithm developmentanti-canceranticancer researchcancer therapychemotherapycomputerized data processingcostdesignhuman errorimprovedinnovationmedication compliancemicrochipmonitoring devicemultidisciplinarynovelnovel therapeuticspillsatisfactionside effectsocialtherapeutic developmenttooluptakeusability
项目摘要
PROJECT SUMMARY/ABSTRACT
Medication adherence is a current scientific priority of the National Cancer Institute and a top priority in clinical
trials. Electronic adherence monitoring devices (EAMDs) are pill bottles or boxes that contain a computer chip
that records the dates and times of each bottle/box opening (or “actuation”). Due to their accuracy and ability to
capture day-to-day medication-taking behavior, EAMDs are increasingly cited (i.e., by the FDA) as the
preferred measure of daily anticancer medication adherence in research. Unfortunately, researchers currently
lack the tools they need to accurately and efficiently convert raw EAMD actuations into adherence data and
current methods of completing this task are unstandardized, error-prone, and burdensome. The purpose of this
R21 is to develop a novel algorithm to convert EAMD actuations into adherence data. To maximize potential
uptake and usability, we will engage a multidisciplinary adherence science focus group to inform the design of
the algorithm and associated user interface (Aim 1). We will then evaluate the accuracy of the algorithm in
classifying daily adherence data (Aim 2) and obtain quality of use feedback (Aim 3) to inform final refinements
prior to large-scale testing.
项目总结/文摘
项目成果
期刊论文数量(0)
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Meghan Eileen McGrady其他文献
Meghan Eileen McGrady的其他文献
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{{ truncateString('Meghan Eileen McGrady', 18)}}的其他基金
A novel algorithm to compute adherence from electronic adherence monitoring devices
一种计算电子依从性监测设备依从性的新算法
- 批准号:
10698066 - 财政年份:2022
- 资助金额:
$ 22.3万 - 项目类别:
A Pilot Feasibility Trial of a Tailored Intervention to Improve Adherence in Adolescents and Young Adults with Cancer
一项旨在提高患有癌症的青少年和年轻人依从性的定制干预措施的试点可行性试验
- 批准号:
10583840 - 财政年份:2022
- 资助金额:
$ 22.3万 - 项目类别:
Patient Preferences and Adherence in Adolescents and Young Adults with Cancer
患有癌症的青少年和年轻人的患者偏好和依从性
- 批准号:
9262889 - 财政年份:2016
- 资助金额:
$ 22.3万 - 项目类别:
Patient Preferences and Adherence in Adolescents and Young Adults with Cancer
患有癌症的青少年和年轻人的患者偏好和依从性
- 批准号:
9011142 - 财政年份:2016
- 资助金额:
$ 22.3万 - 项目类别:
Patient Preferences and Adherence in Adolescents and Young Adults with Cancer
患有癌症的青少年和年轻人的患者偏好和依从性
- 批准号:
9915859 - 财政年份:2016
- 资助金额:
$ 22.3万 - 项目类别:
Patient Preferences and Adherence in Adolescents and Young Adults with Cancer
患有癌症的青少年和年轻人的患者偏好和依从性
- 批准号:
9477684 - 财政年份:2016
- 资助金额:
$ 22.3万 - 项目类别:
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