Big Data Digital Outreach and Epidemiology Methods for HIV Care among Communities of Color
有色人种社区艾滋病毒护理的大数据数字推广和流行病学方法
基本信息
- 批准号:10709902
- 负责人:
- 金额:$ 52.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-24 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAdherenceAdoptedAdvertisingAffectAfrican AmericanAreaBig DataBlack PopulationsBlack raceCOVID-19 pandemicCOVID-19 riskCaringCase StudyClinicCohort StudiesColorCommunicationCommunitiesCountyCrimeDataData SourcesDevicesDistrict of ColumbiaDropoutEnrollmentEpidemicEpidemiologic MethodsEpidemiologyEthicsEuropean UnionFacebookFutureGeographyHIVHIV/AIDSHealthHealth Insurance Portability and Accountability ActIndividualInterventionInterviewKnowledgeLatinxLatinx populationLawsLearningMachine LearningMapsMarketingMediatorMental HealthMethodsModelingMovementNeighborhoodsOrangesOutcome MeasureParticipantPatternPersonsPolicy MakerPreventionPrivacyProcessPublic HealthResearchResearch PersonnelRiskSamplingServicesStructureSurveysTarget PopulationsTechnologyTimeUnited StatesVisualizationagedbarrier to carecare outcomescohortdata de-identificationdata qualitydata reductiondesigndigitaldigital communicationexperiencefollow-uphandheld mobile devicehigh riskimplementation scienceimprovedinnovationinsightmobility aidnoveloutreachparticipant enrollmentpeople of colorpublic-private partnershiprecruitscale upsocioeconomicsstay-at-home ordersuccesstool
项目摘要
Abstract
One of the most significant problems in the field of HIV deals with addressing the low rates of HIV care
among individuals living with HIV/AIDS, especially among Black/African American and Latinx communities.
This application seeks to study a novel way to address that problem by adopting and applying a cutting-edge
“big data outreach” approach being used to increase consumer engagement by top technologies companies.
This approach has recently been replacing other digital outreach methods largely for privacy reasons-- to
conform to stringent European Union privacy laws-- as it involves de-identified data.
The digital outreach method being proposed is already being applied in health (but not yet HIV) settings.
During the COVID-19 pandemic, our team and others (including the CDC) studied and found success applying
these methods for targeted digital recruitment and outreach to those at high-risk for COVID-19. As a result of
the COVID-19 pandemic and its effect on use of digital/remote tools, these approaches will soon be applied to
HIV to assist in targeting and engaging hard-to reach individuals in HIV research and care.
Importantly, the proposed methods allow access to large-scale passively-collected, opt-in, community and
mobility (GPS pings) data, which have been shown to add rich and granular data to improve health
surveillance and interventions. This application seeks to use these novel digital outreach methods to identify
and enroll individuals living with HIV/AIDS from communities of color who are at high-risk for being out of care,
and analyze their mobility and community data to identify the key geographic contexts that impact HIV care
engagement. We are conducting this effort for, and in partnership with, 2 Ending the HIV Epidemic (EHE)
jurisdictions (Washington D.C. and Orange County health departments) and key participant stakeholders to
gain their insights on needs, implementation (including ethical concerns), and potential future scale-up of this
approach to improve surveillance and intervention efforts. Specifically, we seek to 1) Identify individuals of
color living with HIV/AIDS within EHE regions who are at high-risk for being out of care, 2) Using GPS mobility,
community (e.g., local crime), and HIV care data, identify the key geographic contexts that impact HIV care
engagement, and 3) In partnership with the Washington D.C. and Orange County health departments, explore
a case study of the ongoing barriers and facilitators of this approach at the individual, interpersonal, and
structural levels.
This 1-year cohort study will be focused on identifying people living within an EHE region who have been
hard-to-reach for HIV care in order to converge with EHE outcome measures. To our knowledge, this is the
first study to apply these novel “big data outreach” methods to HIV, will enroll the largest cohort to date with
GPS mobility, community, and other HIV care contextual data, and the first HIV study to passively collect
mobility data, which helps to increase data quality and reduce dropout rates compared to previous studies.
摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sean Young其他文献
Sean Young的其他文献
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{{ truncateString('Sean Young', 18)}}的其他基金
Big Data Digital Outreach and Epidemiology Methods for HIV Care among Communities of Color
有色人种社区艾滋病毒护理的大数据数字推广和流行病学方法
- 批准号:
10619830 - 财政年份:2022
- 资助金额:
$ 52.83万 - 项目类别:
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability Study
以数字设备 ID 为目标增加阿片类药物使用障碍药物治疗:可行性和可接受性研究
- 批准号:
10666435 - 财政年份:2021
- 资助金额:
$ 52.83万 - 项目类别:
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability Study
以数字设备 ID 为目标增加阿片类药物使用障碍药物治疗:可行性和可接受性研究
- 批准号:
10463756 - 财政年份:2021
- 资助金额:
$ 52.83万 - 项目类别:
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability Study
以数字设备 ID 为目标增加阿片类药物使用障碍药物治疗:可行性和可接受性研究
- 批准号:
10288555 - 财政年份:2021
- 资助金额:
$ 52.83万 - 项目类别:
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD Patients
调整 HOPE 在线支持干预措施以提高 OUD 患者对 MAT 的吸收
- 批准号:
10219462 - 财政年份:2019
- 资助金额:
$ 52.83万 - 项目类别:
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD Patients
调整 HOPE 在线支持干预措施以提高 OUD 患者对 MAT 的吸收
- 批准号:
10076344 - 财政年份:2019
- 资助金额:
$ 52.83万 - 项目类别:
Mining real-time social media big data to monitor HIV: Development and Ethical Issues
挖掘实时社交媒体大数据来监测艾滋病毒:发展和道德问题
- 批准号:
9987247 - 财政年份:2017
- 资助金额:
$ 52.83万 - 项目类别:
Mining real-time social media big data to monitor HIV: Development and Ethical Issues
挖掘实时社交媒体大数据来监测艾滋病毒:发展和道德问题
- 批准号:
9349408 - 财政年份:2017
- 资助金额:
$ 52.83万 - 项目类别:
Mining real-time social media big data to monitor HIV: Development and Ethical Issues
挖掘实时社交媒体大数据来监测艾滋病毒:发展和道德问题
- 批准号:
9903175 - 财政年份:2017
- 资助金额:
$ 52.83万 - 项目类别:
HOPE Social Media Intervention for HIV Testing and Studying Social Networks
HOPE 社交媒体干预艾滋病毒检测和研究社交网络
- 批准号:
9415095 - 财政年份:2015
- 资助金额:
$ 52.83万 - 项目类别:
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