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Automated system for risk determinantion, facilitation and community support to mitigate social determinants of health in minority populations

Automated system for risk determinantion, facilitation and community support to mitigate social determinants of health in minority populations
用于风险确定、促进和社区支持的自动化系统,以减轻少数群体健康的社会决定因素
批准号:
10325657
负责人:
Deboleena Dutta
金额:
$25.66万
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
项目状态:
已结题
起止时间:
2021-09-22 至 2023-08-31
关键词:
AlgorithmsAutomationBehavioralBiologicalBody Weight decreasedCenters for Disease Control and Prevention (U.S.)CharacteristicsCollectionCommunicationCommunitiesCommunity ServicesComputer softwareConfidential InformationCost SavingsCurrent Procedural Terminology CodesDataData SetDatabasesDevelopmentDevelopment PlansDiabetes preventionDisease ManagementDisease ProgressionDropsEmergency department visitEnsureEnvironmentFaceFamilyFeasibility StudiesFeedbackFelis catusFocus GroupsGeneral PopulationGoalsHealthHealth Care CostsHealth InsuranceHealth PersonnelHealth PromotionHealth ServicesHealth systemHealthcareHealthcare SystemsHomeHumanIndividualInstitutionInstitutional Review BoardsIntellectual functioning disabilityInterventionLesbian Gay Bisexual Transgender QueerLife StyleMeasuresMedicalMinorityMinority GroupsModelingNon-Insulin-Dependent Diabetes MellitusOutcomeOutputParticipantPatient MonitoringPatientsPerformancePhasePhiladelphiaPopulationPrediabetes syndromePreventionProbabilityProcessProgram EffectivenessProtocols documentationProviderPublic HealthRecording of previous eventsResearchResourcesRiskRisk AssessmentRisk FactorsRisk ReductionSideSocioeconomic FactorsSocioeconomic StatusStudy SubjectSupport SystemSurveysSystemTechnologyTestingTextText MessagingTransportationUnderinsuredUnderserved PopulationVulnerable PopulationsWomanWorkbarrier to carebaseclinical riskcloud basedcommercializationcomorbiditycostdata de-identificationdesigndiabetes prevention programdiabetic patientdisorder preventionethnic minority populationevidence baseexperiencefollow-uphealth care servicehospital readmissionhuman subjectimprovedinnovationinsurance planliteracymachine learning methodmeetingsmemberpersonalized interventionphysically handicappedpreferenceprogramsprototyperacial and ethnicracial minorityrecruitrisk stratificationservice gapsocialsocial culturesocial health determinantssocioeconomicssoftware systemssuccessusability

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Abstract Vulnerable and underserved populations such as ethnic and racial minorities, the poor, the LGBTQ community and those with physical or intellectual disabilities, often suffer the greatest health risks while facing significant barriers to receiving healthcare. While biological and clinical risks influence outcomes, sociocultural and socioeconomic factors also create major barriers to receiving healthcare services, at an individual, community and population level for these populations. These social determinants of health (SDOH), such as transportation, literacy, and finances can severely limit participation in health programs designed for the general population. Diabetes Prevention Programs are a good example of a lifestyle change protocol that is proven to reduce the risk of type 2 diabetes by half for pre-diabetics patients at risk by encouraging weight-loss. But, despite the effectiveness of the program, more than 50% of participants drop out before completing this year-long lifestyle change program, severely limiting the program’s success. This is in part due to the fact that programs like DPP take little account of the limitations faced by underserved and vulnerable populations that it is meant to help. This lack of support at the individual and community level combined with the fact that healthcare institutions are not designed for, nor economical, in supporting patient health outside the medical facility where it is most needed. This creates a gap in healthcare service that current systems cannot overcome. Viora is closing this health services gap with a system that interfaces between the health care system, the underserved patient, and underutilized community-based resources and providers, to facilitate better outcomes in programs like DPP. By using risk stratification based on SDOH factors, each DPP participant can have tailored interventions that consider their socioeconomic and sociocultural characteristics. The Viora Health system connects patients to local resources using simple communication between the patient, health providers, and community services, facilitating patient completion of the DPP program, thereby improving health outcomes. In Phase I, Viora will evaluate a larger set of pre-diabetes and SDOH risk factors across 5000 minority and underserved subjects to select the most relevant variables for risk assessment and personal prevention plan development. The system will automatically screen pre-diabetic participants who are eligible, ready and able to adhere to DPP, and will create a personalized intervention plan that is the most impactful in reducing their risk but is also doable. The system’s communication network will be expanded to provide direct communication between the patient, DPP coach, health providers and community resources, to support the participant toward maintaining their DPP goals. Finally, the project will assess the basic function of the system, preferences and human interaction in a human subject study with underserved subjects and community-based partners. Completion of Phase I will demonstrate feasibility of our software system incorporating major components of the VIORA SYSTEM, which will inform the development of a minimum viable product to be tested in Phase 2.
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