Assisted Identification and Navigation of Early Mental Health Symptoms in Children
Assisted Identification and Navigation of Early Mental Health Symptoms in Children
批准号:
10528485
负责人:
Robert B. Penfold
金额:
$72.38万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-01-18 至 2024-11-30
关键词:
12 year oldAbnormal coordinationAccident and Emergency departmentAddressAdolescentAdultAntipsychotic AgentsAppointmentCaliforniaCaringCase ManagerChildChildhoodChronicClinicClinicalCommunitiesConsentDataDiagnosisDiseaseDocumentationDoseEarly identificationEligibility DeterminationEnrollmentFamilyFamily health statusGoalsHealth PersonnelHealth Services AccessibilityHealth systemHealthcare SystemsHomeIndividualIntegrated Health Care SystemsInterventionIntervention StudiesLicensingLogistic RegressionsMachine LearningManaged CareMedical RecordsMental DepressionMental HealthMental Health ServicesMental disordersModelingMonitorNatural Language ProcessingNursesOutcomePatientsPersonsPharmaceutical PreparationsPrimary CareProcessProfessional counselorProviderPsyche structurePsychotherapyRegistriesReportingResearchRoleScheduleSocial WorkersSymptomsTestingTextTherapeuticTimeVideoconferencingVisitWashingtonWorkYouthadjudicationarmburden of illnesschild mental health servicecomparison controlcomparison interventionfollow-upimprovedimproved outcomemachine learning algorithmmedical specialtiesmental health organizationmotivational enhancement therapyoutreachparticipant enrollmentpeerpragmatic randomized trialpragmatic trialprediction algorithmpredictive modelingpreventprimary care providerprimary outcomeprogramsrandom forestrandomized trialrecruitscreeningsecondary outcomesevere mental illnessskillssocial stigmastructured datatime usetooltreatment armtreatment as usualtrial designurgent careusual care armvideo visitwaiver
中文摘要
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英文摘要
ABSTRACT
About 55% of children with significant mental health difficulties receive treatment and up to 80% of children
with sub-clinical symptoms receive no treatment. Treatments are often not initiated until issues are significantly
impacting the child and family. This study aims to conduct a pragmatic randomized trial in two non-academic
health care systems to test a mental health family navigator model to promote early access to, engagement in,
and coordination of needed mental health services for children. The first task of the study will focus on the
implementation of a predictive model to identify symptomatic children with no diagnosed mental health
disorder(s) or treatments initiated. The tool identifies patients with documentation of mental health symptoms
or complaints in the free text of a progress note from a recent primary care or urgent care visit. Using this
predictive algorithm, we will conduct a pragmatic randomized trial comparing intervention and usual care arm
patients enrolled from Kaiser Permanente (KP) Washington and KP Northern California. The trial will enroll 200
patients per arm (n=400). Children with (1) a new mental health diagnosis but no treatment initiated; (2) a new
mental health medication ordered with no mental health diagnosis; and (3) symptoms identified by the
predictive model with no new mental health diagnosis or treatment initiated will be recruited. The study
intervention will offer 6 months of support to the family by a mental health navigator (social worker). The
navigator will perform an initial needs and barriers assessment with the family around mental health services,
conduct ongoing motivational interviewing around mental health care, provide up to 4 psychotherapy sessions
(when appropriate) via clinic-to-home video visits, help the family find and schedule with appropriate mental
health providers in the community, and reach out ad hoc if mental health appointments or medication refills are
missed. The primary outcome is the percentage of youth initiating psychotherapy. The secondary outcome is
the percentage of youth with at least 4 mental health visits. We hypothesize that the intervention arm will have
higher rates of psychotherapy use compared to the control arm. We will also assess initiation of psychotropic
medications. All primary analyses will follow an intent-to-treat approach. A waiver of consent will be obtained to
include data for all individuals offered the intervention in the analysis, regardless of the amount of intervention
(“dose” of navigation) received.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Improving Suicide Risk Prediction with Social Determinants Data
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批准号:10528534
-
项目类别:
-
资助金额:$46.84万
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财政年份:2022
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负责人:Robert B. Penfold
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依托单位:
Assisted Identification and Navigation of Early Mental Health Symptoms in Children
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批准号:10094734
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项目类别:
-
资助金额:$81.08万
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财政年份:2021
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负责人:Robert B. Penfold
-
依托单位:
Assisted Identification and Navigation of Early Mental Health Symptoms in Children
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批准号:10330457
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项目类别:
-
资助金额:$76.79万
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财政年份:2021
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负责人:Robert B. Penfold
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依托单位:
STAR Caregivers - Virtual Training and Follow-up
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批准号:9791152
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项目类别:
-
资助金额:$54.61万
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财政年份:2018
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负责人:Robert B. Penfold
-
依托单位:
STAR Caregivers - Virtual Training and Follow-up
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批准号:10200658
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项目类别:
-
资助金额:$50.98万
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财政年份:2018
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负责人:Robert B. Penfold
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依托单位: