MOUD Comparative Effectiveness Study
MOUD 比较效果研究
基本信息
- 批准号:10597121
- 负责人:
- 金额:$ 52.26万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-01 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:BuprenorphineComparative Effectiveness ResearchDataData SetData SourcesDatabasesFDA approvedFatality rateFormulationHalf-LifeHealth Services ResearchIncentivesIndividualInjectableInterventionLinkMassachusettsMediatorMedicalMedicineMorbidity - disease rateNaltrexoneObservational StudyOpioidOutcomeOutpatientsParticipantPatient SelectionPatientsPoliciesPopulationPragmatic clinical trialProbabilityProtocols documentationPublic HealthRandomized, Controlled TrialsRiskStructural ModelsSuboxoneTechniquesTimeWorkactive methodaddictionbuprenorphine treatmentcommon treatmentcomparative effectivenesscomparative effectiveness analysiscomparative effectiveness studycomparative effectiveness trialcompare effectivenesscontingency managementcravingdata warehousehigh riskillicit opioidimprovedimproved outcomemedication for opioid use disordermortalitynovelopioid mortalityopioid overdoseopioid useopioid withdrawaloptimismrandomized, clinical trialsretention ratestandard of carestemtreatment comparisontrial comparinguptake
项目摘要
PROJECT SUMMARY
Opioid overdose deaths remain at crisis levels; however, increasing availability of effective medications for
opioid use disorder (MOUD) are one reason for optimism. Unfortunately, MOUD are underutilized. Real-world
data have identified low MOUD retention rates in contrast with higher retention rates observed in randomized
controlled trials (RCTs). While comparative effectiveness RCTs found that buprenorphine-naloxone and
extended-release naltrexone have similar retention and illicit opioid use, observational studies identify lower
rates of fatal opioid overdose and improved retention with buprenorphine-naloxone. While RCTs are
considered the gold standard for studying causal relationships, external generalizability is limited, and RCTs
have limited power to study relatively rare outcomes such as fatal or nonfatal opioid overdose. The
Massachusetts Public Health Data warehouse (PHD) is a novel near population-level database linking more
than 20 state-based datasets at the individual level. The PHD offers an unparalleled ability to study a breadth
and depth of opioid-related exposures and outcomes, including opioid overdose. The current proposal seeks to
use PHD to emulate target comparative effectiveness trials of a rapidly expanding array of buprenorphine and
naltrexone formulations. We will examine MOUD initiation following opioid detoxification, a common treatment
entry point for individuals at high-risk for subsequent opioid overdose. To advance understanding of the
differences between observational studies and RCTs we will directly compare effect estimates of treatment
retention from an emulated trial in PHD with a reanalysis of the target X:BOT RCT that compared sublingual
buprenorphine-naloxone and extended-release naltrexone. Using the PHD, we will examine additional
outcomes, including fatal and nonfatal opioid overdose. We will leverage the emulated trial framework
developed to study additional high priority comparative effectiveness questions. We will compare outcomes
from initiation of sublingual buprenorphine-naloxone versus buprenorphine extended-release formulations
following opioid detoxification. Finally, while long-term MOUD treatment is the standard of care, many patients
prefer to stop treatment. We will assess the impact of tapering sublingual buprenorphine-naloxone after 3 or 6
months of treatment compared with continued use. The findings of these comparative effectiveness analyses
will inform policy and practice on the coverage and use of an expanding array of MOUD formulations.
项目总结
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Marc Larochelle其他文献
Marc Larochelle的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Marc Larochelle', 18)}}的其他基金
Improving urine drug test utility to mitigate prescription opioid risk
改善尿液药物测试实用性以降低处方阿片类药物风险
- 批准号:
9314828 - 财政年份:2017
- 资助金额:
$ 52.26万 - 项目类别:
Improving urine drug test utility to mitigate prescription opioid risk
改善尿液药物测试实用性以降低处方阿片类药物风险
- 批准号:
9882980 - 财政年份:2017
- 资助金额:
$ 52.26万 - 项目类别:
Improving urine drug test utility to mitigate prescription opioid risk
改善尿液药物测试实用性以降低处方阿片类药物风险
- 批准号:
10092133 - 财政年份:2017
- 资助金额:
$ 52.26万 - 项目类别:
Training in Health Services Research for Vulnerable Populations
弱势群体卫生服务研究培训
- 批准号:
10747701 - 财政年份:2013
- 资助金额:
$ 52.26万 - 项目类别:
相似海外基金
Novel and Rigorous Statistical Learning and Inference for Comparative Effectiveness Research with Complex Data
复杂数据比较有效性研究的新颖而严格的统计学习和推理
- 批准号:
10635323 - 财政年份:2023
- 资助金额:
$ 52.26万 - 项目类别:
HOD2: Data driven semi-automated approaches to comparative effectiveness research using electronic health record data
HOD2:使用电子健康记录数据进行比较有效性研究的数据驱动半自动化方法
- 批准号:
MR/S01442X/1 - 财政年份:2019
- 资助金额:
$ 52.26万 - 项目类别:
Research Grant
Respiratory management of extremely preterm neonates: Evidence generation and implementation by comparative effectiveness research (CER) using real world data (RWD) from a practice-based research network (PBRN)
极早产新生儿的呼吸管理:使用基于实践的研究网络(PBRN)的真实世界数据(RWD)通过比较有效性研究(CER)生成和实施证据
- 批准号:
389298 - 财政年份:2018
- 资助金额:
$ 52.26万 - 项目类别:
Operating Grants
Enabling Comparative Effectiveness Research in Silent Brain Infarction Through Natural Language Processing and Big Data
通过自然语言处理和大数据实现无症状脑梗塞的比较有效性研究
- 批准号:
9365110 - 财政年份:2017
- 资助金额:
$ 52.26万 - 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
- 批准号:
9211341 - 财政年份:2015
- 资助金额:
$ 52.26万 - 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
- 批准号:
8882683 - 财政年份:2015
- 资助金额:
$ 52.26万 - 项目类别:
Bayesian Methods for Comparative Effectiveness Research with Observational Data
使用观察数据进行比较有效性研究的贝叶斯方法
- 批准号:
9024579 - 财政年份:2015
- 资助金额:
$ 52.26万 - 项目类别:
Discovering the Value of Imaging: A Collaborative Training Program in Biomedical Big Data and Comparative Effectiveness Research for the Field of Radiology
发现影像的价值:放射学领域生物医学大数据和比较有效性研究的协作培训项目
- 批准号:
9312810 - 财政年份:2015
- 资助金额:
$ 52.26万 - 项目类别:
NEW OBSERVATIONAL DATA ANALYSIS METHODS FOR COMPARATIVE EFFECTIVENESS RESEARCH
用于比较有效性研究的新观察数据分析方法
- 批准号:
8036735 - 财政年份:2010
- 资助金额:
$ 52.26万 - 项目类别:
Enhanced Data to Accelerate Complex Patient Comparative Effectiveness Research
增强数据以加速复杂患者的比较疗效研究
- 批准号:
8015401 - 财政年份:2010
- 资助金额:
$ 52.26万 - 项目类别: