Roybal Center for Behavioral Interventions in Aging
Roybal Center for Behavioral Interventions in Aging
批准号:
10678987
负责人:
JASON N. DOCTOR
金额:
$62.31万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
未结题
起止时间:
2004-09-30 至 2025-05-31
关键词:
Adverse eventAffectAge YearsAgingAmericanAntibiotic ResistanceAntibioticsAreaAttentionAwardBasic ScienceBehavior TherapyBehavioralBehavioral ModelBehavioral SciencesBuprenorphineCardiovascular DiseasesCaringCessation of lifeClinicalCodeCommunitiesConsciousDataDissemination and ImplementationDrug InteractionsEconomicsEpidemicEvaluationFaceFailureFeasibility StudiesFundingFutureGenerationsGuidelinesHealthHealth BenefitHealthcareInterventionLettersLibrariesLongevityManualsMedicalMedication ManagementOpioidPathway interactionsPatientsPersonsPharmaceutical PreparationsPhysiciansPilot ProjectsPoliciesPolicy MakerPolypharmacyPopulationPsychologyRecommendationResearchResearch PersonnelResearch SupportSideSocial PsychologySystemTranslatingTranslationsUnconscious StateUnited States National Institutes of HealthWorkaddictionadverse drug reactionadverse outcomeage groupbehavioral economicsclinical decision-makingcosteffective therapyeffectiveness researchefficacy testingevidence baseexperiencefallsfinancial incentivehealthy agingimplementation researchimprovedinsightmedication-assisted treatmentmodels and simulationmortalityopioid epidemicopioid use disorderoverdose deathpopulation healthprescription opioidrandomized trialresponsesimulationsoftware developmenttherapy developmenttreatment choiceuptake
中文摘要
摘要
罗伊巴尔老龄行为干预中心的总体目的是加强
世界各地的临床医生都有能力推荐最安全、最有效的治疗方法
他们的病人通过行为经济干预。该中心的具体目标是:
(1)开展行为干预开发和实施,鼓励适当
通过使用心理学和心理学的行为洞察力做出医疗决策
经济学;(2)为选择影响潜力最大的干预措施提供信息
通过使用模拟模型,以及(3)将这些发现转化为
影响老龄化政策的政策制定者。我们的中心将在NIH阶段模式下运行
用于创建从基础研究(阶段)开始的研究流水线的行为干预
0)通过全面传播干预措施(第五阶段)。工作将通过
管理和行政核心和研究是通过试点核心进行的。两名飞行员
这两项研究都是在第一年提出的,都与美国的阿片类药物危机有关。第一个是建立在
我们之前在通知医生他们的病人致命的过量用药方面的工作比较了两个
在与第四阶段研究一致的随机试验中,信件的框架不同。第二个是
一项可行性研究(第一阶段),以评估哪些轻推可能会改善医生对
丁丙诺啡治疗阿片类药物使用障碍。推进这两个阶段的途径
对项目进行了讨论,并对未来几年的新试点进行了征集。与之前的延续
Roybal奖反映在该中心使用模拟来通知飞行员的选择,这将
对人口健康有最大的潜在影响。该中心将支持不断增长的
进行行为干预的研究人员社区,以鼓励适当使用
医疗治疗:阿片类药物处方、多药联用、抗生素处方、临床惰性
成瘾的药物辅助治疗,以及医疗决定的其他护理领域
与指导方针不符,并对人口健康产生负面影响。
英文摘要
Abstract
The overall purpose of the Roybal Center for Behavioral Interventions in Aging is to strengthen
the ability of clinicians everywhere to recommend the safest and most effective treatments for
their patients through behavioral economic interventions. The specific aims of the Center are to:
(1) Conduct behavioral intervention development and implementation to encourage appropriate
medical treatment decisions through the use of behavioral insights from psychology and
economics; (2) Inform the selection of these interventions with the greatest potential to impact
population health through the use of simulation models, and (3) Translate these findings for
policy makers who influence aging policy. Our Center will operate under the NIH Stage Model
for behavioral interventions creating a pipeline of studies that span from basic research (Stage
0) through full-scale dissemination of interventions (Stage V). Work will be managed through a
Management and Administrative Core and research is conducted through a Pilot Core. Two pilot
studies are proposed in Year 1 both relating to the opioids crisis in the US. The first builds on
our previous work in informing physicians of their patient’s fatal overdose comparing two
differently framed letters in a randomized trial consistent with Stage IV research. The second is
a feasibility study (Stage I) to evaluate what nudges are likely to improve physician uptake of
buprenorphine for opioid use disorder. Pathways toward advancing the stages of these two
projects are discussed as are solicitations for new pilots in out-years. Continuity with the prior
Roybal award is reflected in the Center’s use of simulation to inform selection of pilots that will
have the greatest potential for population health impact. The Center will support a growing
community of researchers conducting behavioral interventions to encourage appropriate use of
medical treatments: Opioid prescribing, polypharmacy, antibiotic prescribing, clinical inertia in
medication assisted therapy for addiction, and other areas of care where medical decisions are
discordant with guidelines and are having a negative impact on population health.
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DOI:
10.1371/journal.pone.0276368
发表时间:
2022
期刊:
PloS one
影响因子:
3.7
作者:
[]
通讯作者:
Development of a Group Judgment Process for Forecasts of Health Care Innovations.
开发医疗保健创新预测的群体判断流程。
DOI:
10.1001/jamanetworkopen.2018.5108
发表时间:
2018
期刊:
JAMA network open
影响因子:
13.8
作者:
[Shekelle,PaulG, Goldman,DanaP]
通讯作者:
Goldman,DanaP
Three large-scale changes to the Medicare program could curb its costs but also reduce enrollment.
医疗保险计划的三项大规模变革可能会抑制其成本,但也会减少入学人数。
DOI:
10.1377/hlthaff.2012.0147
发表时间:
2013
期刊:
Health affairs (Project Hope)
影响因子:
--
作者:
[Eibner,Christine, Goldman,DanaP, Sullivan,Jeffrey, Garber,AlanM]
通讯作者:
Garber,AlanM
DOI:
10.1111/1475-6773.13221
发表时间:
2019-12-01
期刊:
HEALTH SERVICES RESEARCH
影响因子:
3.4
作者:
[Trish, Erin E.]
通讯作者:
Trish, Erin E.
Effect of Prescriber Notifications of Patient's Fatal Overdose on Opioid Prescribing at 4 to 12 Months: A Randomized Clinical Trial.
患者致命过量通知对4至12个月的阿片类药物处方的通知的影响:一项随机临床试验。
DOI:
10.1001/jamanetworkopen.2022.49877
发表时间:
2023-01-03
期刊:
JAMA NETWORK OPEN
影响因子:
13.8
作者:
[Doctor, Jason N., Stewart, Emily, Lev, Roneet, Lucas, Jonathan, Knight, Tara, Nguyen, Andy, Menchine, Michael]
通讯作者:
Menchine, Michael
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Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial
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负责人:JASON N. DOCTOR
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依托单位:
Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial
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财政年份:2017
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负责人:JASON N. DOCTOR
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依托单位:
Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial
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项目类别:
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资助金额:$62.29万
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财政年份:2017
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负责人:JASON N. DOCTOR
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依托单位:
Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS) Trial
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资助金额:$70.15万
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财政年份:2017
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负责人:JASON N. DOCTOR
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Use of Behavioral Economics to Improve Treatment of Acute Respiratory Infections
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负责人:JASON N. DOCTOR
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依托单位:
Detecting Errors in Blood Labs Using Bayesian Networks
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依托单位:
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