Modeling mood course to detect markers for effective adaptive interventions
Modeling mood course to detect markers for effective adaptive interventions
批准号:
9921485
负责人:
Amy Louise Cochran
金额:
$12.22万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-12-04 至 2021-03-31
关键词:
AddressAdherenceAdultAffectAreaAwardBiological MarkersBipolar DepressionBipolar DisorderCaringCharacteristicsChronic DiseaseCircadian RhythmsClinicalClinical TrialsClinical assessmentsComplementDataDimensionsDiseaseEmotionsEventEvidence based practiceFemaleGoalsGuidelinesImpairmentIndividualInterventionInterviewInterviewerKnowledgeLeadManicMasksMathematicsMeasuresMental DepressionMental HealthMentored Research Scientist Development AwardMentorsMethodologyMichiganMindMissionModelingMonitorMood DisordersMoodsNational Institute of Mental HealthPathologicPatient Self-ReportPatientsPharmaceutical PreparationsPharmacological TreatmentPopulationProcessPsychiatryQuality of lifeRandomizedRecording of previous eventsRecurrenceRelapseResearchResearch PersonnelRiskSample SizeScheduleSleepStructureSurrogate MarkersSurveysSymptomsTelephoneTestingTimeTrainingTranslatingTranslationsUnited States National Institutes of HealthUniversitiesWomanWorkWorld Health Organizationactigraphyacute symptomadaptive interventionbasebipolar patientscircadianclinical carecohortdisabilitydistinguished professorevidence baseexperiencegroup interventionhealth goalsmHealthmalemood symptomnovel markerpreventprimary outcomeprofessorpsychosocialrandomized trialstatisticstreatment grouptrial designtwo-dimensionalwearable device
中文摘要
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英文摘要
Project Summary
Bipolar (BP) disorder is a chronic illness of profound shifts in mood ranging from mania to depression. BP is
successfully treated by combining medication with psychosocial therapy, but care can prove inadequate in
practice. With gaps in coverage and medication, along with imprecise guidelines on when, where, and how to
intervene, promising psychosocial therapies require adaptive strategies to better address the specific needs of
individuals in a timely manner (NIMH Strategy 2). To accomplish this, however, requires evidence-based
practices for adapting a psychosocial therapy. This Mentored Research Scientist Development Award aims to
address this knowledge gap, by (1) establishing a mobile health platform for translating a psychosocial therapy
in BP into an effective adaptive intervention and (2) facilitating the transition of a junior researcher, at the
interface of mathematics and psychiatry, into an independent researcher of effective adaptive interventions.
The research effort is founded on a mobile health platform that combines evidence-based markers of mood for
long-term monitoring with a micro-randomized trial, designed for optimizing mobile health adaptive
interventions. In Aim 1, we use modeling to characterize and test new markers of mood course that account for
volatility, a feature that masks effects of a therapy on mood. In Aim 2, we explore the potential for long-term
monitoring of BP with interpretable markers from actigraphy. In Aim 3, best practices from Aim 1 and 2 are
integrated with a micro-randomized trial into a mobile health platform. We then test the feasibility of using the
platform to translate a psychosocial therapy, clinical phone call, into an adaptive intervention. If successful, this
work will advance the Candidate's independent goal of adaptive scheduling of phone-calls with BP individuals.
To complement the research agenda, the award will expand the Candidate's background in Computational
Psychiatry into the area of Translational Psychiatry by providing training in five strategic areas: (1) clinical
assessments, (2) psychosocial therapy, (3) mobile health interventions, (4) adaptive clinical trials, and (5)
open-access scheduling. Dr. Melvin McInnis, Thomas B and Nancy Upjohn Woodworth Professor of Bipolar
Disorder and Depression and Professor of Psychiatry at the University of Michigan, will be the primary mentor
and will guide clinical aspects of the training (Training Objectives 1–3); Dr. Amy Kilbourne, Professor of
Psychiatry and Acting Director of VA/HSR&D's Quality Enhancement Research Initiative, will guide training in
the application of adaptive trial designs that involve psychosocial therapy (Training Objectives 2,4–5); and Dr.
Susan Murphy, Herbert E. Robbins Distinguished Professor of Statistics, will guide training into methodology
for adaptive trial design and mobile health interventions (Training Objectives 3–4).
The proposed K01 award promises to train a junior scholar to address technically-challenging problems in
mental health. This work is aligned with the NIH and NIMH missions of providing precise clinical care.
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DOI:
10.2196/43164
发表时间:
2023-04-20
期刊:
JMIR mental health
影响因子:
5.2
作者:
[Cochran A, Maronge JM, Victory A, Hoel S, McInnis MG, Thomas EB]
通讯作者:
Thomas EB
Digital solutions for shaping mood and behavior among individuals with mood disorders.
用于塑造情绪障碍患者情绪和行为的数字解决方案。
DOI:
10.1016/j.coisb.2020.07.008
发表时间:
2020
期刊:
Current opinion in systems biology
影响因子:
3.7
作者:
[Victory,Amanda, Letkiewicz,Allison, Cochran,AmyL]
通讯作者:
Cochran,AmyL
DOI:
10.1111/bdi.13058
发表时间:
2021-12
期刊:
Bipolar disorders
影响因子:
5.4
作者:
[Sagorac Gruichich T, David Gomez JC, Zayas-Cabán G, McInnis MG, Cochran AL]
通讯作者:
Cochran AL
DOI:
10.1016/j.jpsychires.2021.07.021
发表时间:
2021-09
期刊:
Journal of psychiatric research
影响因子:
4.8
作者:
[Yee MA, Yocum AK, McInnis MG, Cochran AL]
通讯作者:
Cochran AL
Modeling mood course to detect markers for effective adaptive interventions
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批准号:9586320
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项目类别:
-
资助金额:$9.75万
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财政年份:2017
-
负责人:Amy Louise Cochran
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依托单位:
海外基金