Impact of Telemedicine on Medicare Beneficiaries with Mental Illness
Impact of Telemedicine on Medicare Beneficiaries with Mental Illness
批准号:
10063830
负责人:
Ateev Mehrotra
金额:
$64.32万
依托单位:
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:
2017-12-01 至 2022-03-31
关键词:
AddressAdultAffectAreaAutomobile DrivingCaringClinicalClinical TrialsCommunitiesComplementCongressesDataData AnalysesDiffusionDisabled PersonsEmergency department visitEvaluationFutureGeographyGrowthHealth PersonnelHealth Services AccessibilityHealth systemHospitalizationImprove AccessInsuranceInternetInterventionInterviewKnowledgeLawsLiteratureLow incomeMedicaidMedicareMental DepressionMental HealthMental disordersMethodsModelingNational Institute of Mental HealthOutcomePatient CarePatientsPatternPenetrationPersonsPoliciesPopulationProviderPsyche structurePsychotic DisordersQuality of CareRandomizedRegulationResearchRuralRural CommunitySamplingSchizophreniaSeriesSpecialistSpeedStructureTelemedicineTelementalTestingTrainingVariantVideoconferencingVisitWorkbasebeneficiarycare costscontextual factorscontrol trialdemographicsdesigndisadvantaged populationexperiencegeographic differenceimprovedimproved outcomeinnovationinterestmachine learning methodmedical specialtiesmedication complianceolder patientpopulation healthprogramsracial and ethnic disparitiesrapid growthrural areasevere mental illnessstatistical and machine learningtrendtrial comparingunderserved communityuptake
中文摘要
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英文摘要
PROJECT SUMMARY
Access to mental health specialists is difficult for many patients in the U.S., particularly for the poor and those
who live in rural communities. Telemental health is one potential solution for this access problem, and there
has been rapid growth in the number of live video-based telemental health visits in the U.S. While there are
numerous rigorous randomized-control trials comparing telemental health visits to in-person mental health
specialist care, there have been little research on how telemental health is being used in real-world settings.
The uptake of telemental health has been very uneven geographically, and what explains this variation is also
largely unknown. Our mixed-methods proposal centers on filling these gaps in knowledge.
Under the first aim, we will conduct a series of descriptive analyses of data on 75 million adults with Medicare
or commercial insurance to understand how telemental health is being used in conjunction with in-person care
and whether the growth of telemental health has decreased disparities in the use of mental health specialists
among disadvantaged populations. Under the second aim, we seek to explain why there is geographic variation
in uptake using robust statistical machine learning. Under the third aim, we exploit the variation in uptake to
assess whether communities with greater telemental health penetration have experienced improvements in
care for patients with mental illness. In the fourth aim we will conduct qualitative interviews with providers to
complement the empirical analyses and understand the key contextual factors underlying our findings.
Understanding how telemental health is being used, why there is variation in use of telemental health, and
whether telemental health use is associated with higher quality care could help drive future telemental health
interventions and influence the ongoing policy debate on telemedicine regulations and reimbursement.
Together the results of these aims are consistent with the NIMH's expressed interest in innovative delivery
models that can improve care for underserved communities.
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海外基金