CADENCE - Continuous And Data-drivEN CarE
CADENCE - 持续且数据驱动的 CarE
基本信息
- 批准号:10590267
- 负责人:
- 金额:$ 67.85万
- 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:2022-09-30 至 2024-09-29
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAgeAgreementAppointmentAreaBuprenorphineCaringCause of DeathChildChild MortalityChild WelfareChildhoodClinicClinicalClinical DataCodeCommunicationCommunitiesConsolidated Framework for Implementation ResearchCost AnalysisCountyDataData AggregationData CollectionDatabasesDevelopmentDiagnosticDiscipline of obstetricsEarly InterventionEthnic OriginEvaluationFamilyFloridaFrequenciesFundingGeneral HospitalsGeographyGoalsGoldGrantHarm ReductionHealthHealth Services AccessibilityHealth systemHealthcareHomeHospitalsIndividualInfantInfant CareInfrastructureInstitutesInternal MedicineInterventionLeadLive BirthLocationMaintenanceMaternal MortalityMeasuresMedicineMethadoneMethodologyMethodsMindModelingMorbidity - disease rateMothersNational Institute of Drug AbuseNeonatalNeonatal Abstinence SyndromeOpioidOutcomeOutcome MeasureParentsPatient CarePatient-Focused OutcomesPatientsPediatricsPharmaceutical PreparationsPharmacological TreatmentPopulationPostpartum PeriodPregnancyPregnancy OutcomePrenatal carePrevention strategyProcessProviderPublic HealthPublishingQuality of CareRaceRecoveryRecovery SupportRegistriesResearchResourcesServicesSiteStandardizationStreamSubstance Use DisorderSystemTelephoneTestingThinkingTimeTransportationUnited States National Institutes of HealthUniversity HospitalsWomanbasebehavioral healthcare coordinationcase findingclinically relevantcostdashboarddata integrationefficacy studygaps in accesshealth datahealth inequalitieshigh riskimplementation costimplementation evaluationimprovedinfant outcomeinnovationintervention programmaternal opioid usematernal outcomeneonatal outcomeneonateopioid exposureopioid useopioid use disorderoverdose preventionpediatric pharmacologypeer supportpersonalized approachpost interventionprenatalprimary outcomeprogram costsprogramsracial disparitysocial health determinantssocietal costsstandard care
项目摘要
ABSTRACT
Maternal opioid use disorder (OUD) is the leading cause of maternal mortality in the first year after delivery
nationwide. OUD also contributes substantially to out-of-home placements in the child welfare system.
Medication for OUD (MOUD) is the primary standard of treatment, however, access to MOUD and prenatal
care is limited, siloed, and fragmented in Florida. Gaps in access to and continuity of healthcare (prenatal,
postpartum, pediatric, pharmacological and behavioral health) and other services for mothers in OUD recovery
lead to poor outcomes for parent, child and family. There is also insufficient data integration, due to
inconsistent data collection methods or use of diagnostic codes, to identify mother-infant dyads affected by
OUD that could inform optimal care at the local level. Single-site studies that integrate substance use disorder
programs in pregnancy have been shown to improve neonatal and maternal outcomes. With that in mind, the
long-term goal of this study is to leverage high-quality local and timely data to improve OUD outcomes before,
during, and after pregnancy with an integrated care approach that can be replicated throughout the state. The
objective of the proposed project is to consolidate multiple streams of public health and clinical healthcare data
to analyze equitable access and outcomes for families affected by maternal OUD for use in quality
improvement cycles to rapidly refine our integrated CADENCE (Continuous and Data-Driven Care) Program.
Our central hypothesis is that integrated, continuous, data-driven care will improve CADENCE patient
outcomes. We will test this hypothesis through the following aims: 1) create an interactive data dashboard for
maternal, neonatal, and infant outcomes for pregnancies affected by OUD; 2) pilot the CADENCE program and
rapidly refine using a data-driven approach; 3) determine the improvement in clinical outcomes at the program
level using the data from the dashboard and assess the implementation of the CADENCE program; 3) analyze
the cost of the CADENCE program and long-term costs of maintenance of the program. Upon completion of
our aims, the expected outcomes include improve maternal, neonatal, and infant outcomes using an integrated
care model and data-driven approach to tailor services to community and patient needs. Primary outcomes
increase in maternal engagement in recovery or MOUD treatment at delivery, neonates with NOWS (neonatal
withdrawal syndrome) requiring pharmacologic treatment at delivery, and infant’s age at referral to the Early
Steps early intervention program. Our proposed plan is innovative as it is grounded in systems thinking, uses
population-level and integrated clinical data to develop a dashboard methodology, and addresses an area of
medicine with few previously published efficacy studies. This project meets the goals of the NIH as it aims to
decrease racial inequities in prenatal care and increase access to prenatal care to decrease maternal and child
mortality and morbidity.
摘要
母体阿片类药物使用障碍(OUD)是导致分娩后第一年内孕产妇死亡的主要原因
全国范围开放大学还为儿童福利系统中的家庭外安置做出了巨大贡献。
OUD药物治疗(MOUD)是治疗的主要标准,然而,获得MOUD和产前检查是非常困难的。
在佛罗里达,医疗服务是有限的、孤立的和分散的。在获得保健和保健连续性方面存在的差距(产前,
产后、儿科、药理学和行为健康)和其他服务
导致对父母、子女和家庭不利结果。数据整合也不够,因为
不一致的数据收集方法或使用诊断代码,以确定受
OUD可以在当地一级提供最佳护理。整合物质使用障碍的单中心研究
怀孕期间的方案已被证明可以改善新生儿和产妇的结果。考虑到这一点,
这项研究的长期目标是利用高质量的本地和及时的数据来改善OUD的结果,
在怀孕期间和怀孕后,采用可在全州推广的综合护理方法。的
拟议项目的目标是整合多个公共卫生和临床医疗数据流
分析受孕产妇OUD影响的家庭的公平获得和结果,
改进周期,以快速完善我们的综合CADENCE(持续和数据驱动的护理)计划。
我们的中心假设是,综合的、持续的、数据驱动的护理将改善CADENCE患者
结果。我们将通过以下目标来测试这一假设:1)创建一个交互式数据仪表板,
受OUD影响的妊娠的孕产妇、新生儿和婴儿结局; 2)试点CADENCE计划,
使用数据驱动的方法快速完善; 3)确定该计划的临床结局改善
使用仪表板中的数据进行水平评估,并评估CADENCE计划的实施情况; 3)分析
CADENCE计划的成本和该计划的长期维护成本。完成后
我们的目标,预期成果包括改善孕产妇,新生儿和婴儿的结果,使用综合
护理模式和数据驱动的方法,以定制服务,以满足社区和病人的需求。主要结局
增加产妇在分娩时参与恢复或MOUD治疗,新生儿NOWS(新生儿
戒断综合征),分娩时需要药物治疗,以及婴儿转诊到早期
早期干预计划。我们提出的计划是创新的,因为它是基于系统思维,
人口水平和综合临床数据,以开发仪表板方法,并解决了以下领域
以前发表的疗效研究很少的药物。该项目符合NIH的目标,因为它旨在
减少产前护理方面的种族不平等现象,增加产前护理的机会,
死亡率和发病率。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
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Jennifer Marshall的其他文献
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