An Adherence Management System for Prescribed Injection Regimens
An Adherence Management System for Prescribed Injection Regimens
批准号:
10011064
负责人:
John Kablan
金额:
$25.21万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-04-15 至 2023-04-14
关键词:
AccountabilityAddressAdherenceCaregiversCaringCessation of lifeChronic DiseaseClinical TrialsCollaborationsConsultDataDatabasesDeveloped CountriesDevelopmentElderlyElectronicsEngineeringEnsureEventFamily CaregiverFoundationsGenerationsHealthHealth Care CostsHealth Services AccessibilityHealthcareHospitalizationInfrastructureInjectableInjectionsInstitutionInternetInterventionLeadLegal patentMedication ManagementMedicineMetadataMethodsMinnesotaMonitorNeedlesOnline SystemsPatient MonitoringPatient Self-ReportPatientsPharmaceutical PreparationsPhaseProductionProtocols documentationPublic Health SchoolsQuality of lifeReaderRecording of previous eventsRegimenReportingResearchScanningScientistSecureSelf AdministrationSmall Business Innovation Research GrantSymptomsSystemTechnologyTimeTranslatingUnited States National Institutes of HealthUniversitiesWireless TechnologyWorkWorld Health Organizationadherence ratebasecloud basedcommercializationcompliance behaviorcostcost estimatedesigneffectiveness testingexperiencehealth disparityinformal caregiverinnovationmanufacturabilitymedical specialtiesmedication compliancemedication nonadherenceprogramsprototyperadio frequencyrural dwellerssocietal costsweb based interfaceweb interface
中文摘要
项目摘要/摘要
拟议的项目重点是记录和跟踪自我给药注射药物的方法
旨在提供支持机制,即他们监测药物依从性所需的数据,以及
必要时进行干预。意义:慢性病治疗坚持不力是一个世界性的问题
发达国家的不遵守率平均为50%,这是一个严重的问题。穷
遵守和不遵守与巨大的社会成本相关,占总成本的10%
医疗保健成本,估计在可避免的成本中超过3000亿美元。虽然不遵守协议的支持
机制已被证明是有效的,启动和调整干预措施需要客观和
准确的遵守数据。假设:我们假设一种易于使用且准确的跟踪方法
患者遵守自我注射药物方案将允许护理人员和临床医生提供
提供适当的支持和干预,以提高遵守率。具体目标:证明
拟议的系统在第一阶段,IDL及其协作者将:(1)与专家咨询小组协商,以
建立利益相关者需求(2)建立监控系统原型(3)实施所需的云-
基于基础设施和接口。
英文摘要
Project Summary/Abstract
The proposed project focuses on method of recording and tracking self-administered injectable medications
designed to provide support mechanisms the data they need to monitor adherence to medication regimes and
intervene when necessary. Significance: Poor adherence to treatment of chronic diseases is a worldwide
problem of striking magnitude with nonadherence rates among developed countries averaging 50%. Poor
adherence and nonadherence are associated with significant societal costs comprising up to 10% of total
health care costs, estimated to be upwards of $300 billion in avoidable costs. While nonadherence support
mechanisms have been shown to be effective, the initiation and tailoring of interventions require objective and
accurate adherence data. Hypothesis: We hypothesize that an easy-to-use and accurate method to track
patient adherence to self-injectable medication protocols will allow caregivers and clinicians to provide
appropriate support and interventions to increase adherence rates. Specific Aims: To prove feasibility of the
proposed system in Phase I, IDL and its collaborators will: (1) consult with an expert advisory panel to
establish stakeholder requirements (2) prototype the monitoring system (3) implement the required cloud-
based infrastructure and interfaces.
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会议论文
Automated, Assistive, Non-Contact Sleep Quality Monitor for Individuals with Alzheimer Disease
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批准号:10547408
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项目类别:
-
资助金额:$128.16万
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财政年份:2017
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负责人:John Kablan
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依托单位:
海外基金