Smart Capsule for Automatic Adherence Monitoring
Smart Capsule for Automatic Adherence Monitoring
批准号:
8592774
负责人:
Glen Flores
金额:
$15.07万
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
项目状态:
已结题
起止时间:
2013-07-01 至 2013-12-31
关键词:
AdherenceAdverse effectsBiocompatibleCellsClinicalClinical ResearchClinical TrialsComputer softwareCustomDataDatabasesDoseDrug InteractionsDrug abuseElectronicsEnvironmentEnvironmental MonitoringEnvironmental ProtectionGelatinHealthHealth Care CostsHealthcare SystemsIndividualIndustryLiquid substanceManualsManufacturer NameMarijuanaMeasurementMeasuresMechanical StressMedicalMethodologyMethodsMonitorOutcomeOutcome StudyPatient Self-ReportPatientsPerformancePharmaceutical PreparationsPhaseProcessProductionRandomizedReaderRecruitment ActivityReminder SystemsResearch DesignRiboflavinSafetyServicesSignal TransductionSmall Business Innovation Research GrantSouth CarolinaStomachSystemTechniquesTechnologyTest ResultTestingTimeUniversitiesWireless TechnologyWorkWristarmcapsulecostcost effectivedesigndiariesgroup interventionhigh riskimprovedlarge scale productionmanufacturing processmedical supplymedication compliancepillprototyperesponsesensorstability testingstandard measure
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Poor medication adherence has a significant negative impact on patients, clinical study outcomes, and the healthcare system in general. As much as 25% of all healthcare costs could be avoided if patients reliably took their prescribed medications. Medication adherence is of particular concern in clinical trials. Standard measures of adherence (pill counting and diaries) are inaccurate and yet still costly, whereas the few available accurate measures of adherence (e.g. direct observed therapy) are cost prohibitive and logistically difficult to implement in large studies. In studies notorious for poor medication adherence, such as drug abuse studies, non-adherence will conceal the true outcomes of the study, including efficacy, safety, dose response, and side effects, potentially rendering the study
useless without accurate measures of medication adherence. This Fast-track SBIR project will utilize eTect's existing technology to create Smart Capsules that provide accurate and real-time adherence monitoring for clinical studies, particularly studies at high risk of low compliance. In Phase I we will develop a prototype Smart Capsule by inserting a biocompatible wireless sensor, or "tag", between a size 1 capsule inserted into a size 00 capsule. In Phase II we will develop a custom system for producing large quantities of production-ready Smart Capsules. Phase II will also include a 60 patient trial with marijuana-dependent subjects to evaluate the functionality of the Smart Capsule system, the ease by which it can be integrated into the trial processes, and it's potential to improve compliance with a targeted reminder system. The Specific Aims of the study in Phase I are to: 1. Modify the existing eTect ID-Cap Tag for optimum performance in 'capsule-in-a- capsule' (cap-in-cap) configuration 2. Design and manufacture prototype Smart Capsules 3. Evaluate the performance of prototype Smart Capsules in stability, dissolution, compatibility, and environmental tests. The Specific Aims of the study in Phase II are to: 1. Redesign the electronic tags to support high volume manufacture 2. Modify the Smart Capsule manufacturing processes to produce high volume supplies for testing and the clinical trial 3. Evaluate the Smart Capsule's performance in pilot drug abuse clinical trial
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Smart Capsule for Automatic Adherence Monitoring
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批准号:8811111
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项目类别:
-
资助金额:$44.78万
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财政年份:2014
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负责人:Glen Flores
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依托单位:
Smart Capsule for Automatic Adherence Monitoring
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批准号:8792745
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项目类别:
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资助金额:$55.6万
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财政年份:2014
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负责人:Glen Flores
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依托单位:
海外基金