Geographic Disparities in the Availability and Accessibility of Coordinated Specialty Care Programs for Early Psychosis
早期精神病协调专业护理计划的可用性和可及性的地理差异
基本信息
- 批准号:10523009
- 负责人:
- 金额:$ 24.41万
- 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:2022-08-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:20 year oldAddressAdministratorAgeAreaCaringCensusesCharacteristicsClientCommunitiesCoordinated Specialty CareDataData SetDatabasesDecision AidDevelopmentDisadvantagedEarly InterventionEffectivenessEnvironmentEthnic OriginFamilyFocus GroupsFundingGenderGeographic DistributionGeographic LocationsGeographyGoalsGrantHealthHealth Services AccessibilityIncidenceIndividualInternetLinkLocationMeasuresMental HealthMental Health ServicesNational Institute of Mental HealthNeighborhoodsOutcomePathway interactionsPersonsPoliciesProviderPsychosesPublic HealthQuality of lifeRaceRecoveryResearchResearch SupportResourcesRoleRuralSchizophreniaServicesSpatial DistributionStructureTechniquesTechnologyTimeTransportationUnderserved PopulationUrbanizationVariantVisualizationWashingtonWorkYouthbasebuilt environmentcare systemsdashboarddensitydeprivationdisparity reductionduration of untreated psychosisearly onsetearly psychosisethnic diversityevidence baseexperiencefirst episode psychosisfuture implementationgeographic disparityhealth disparity populationsimprovedinequitable distributionmedical specialtiesnovelpaymentprogramspsychiatric symptomracial and ethnicracial disparityracial diversityresidential segregationruralityservice gapservice interventionservice utilizationsexsocial culturesocial determinantssocial disparitiessocioeconomic disparitysocioeconomicsstandard of caretoolurban area
项目摘要
ABSTRACT
Coordinated specialty care (CSC) is the standard of care for early psychosis in the US. Supported by the 5-
10% set-aside in the Community Mental Health Block Grant program, targeted at evidence-based early
interventions, approximately 350 CSC programs have been implemented in 49 states across the US.
Neighborhoods where individuals reside are important determinants of health and the majority of the extant
work on neighborhood-level determinants and early psychosis has focused on the impact on individual-level
factors such as the incidence and onset of psychosis, and duration of untreated psychosis, but very few
studies have examined neighborhood-level characteristics as barrier to seeking services for early psychosis.
Research has highlighted the importance of mental health services being available in proximity
to an individual’s community, yet very little is known about the spatial distribution and accessibility of CSC
programs in the US. There is a clear gap in what we know about the potential difficulties accessing CSC
programs and whether the geographical placement and distribution of CSC programs contributes to
inequities. To address this gap, our overarching goal of the proposed study is to characterize CSC programs
and understand the geographical distribution and inequities in access to CSC programs. We will create
a novel integrative multi-level geospatial database of CSC programs implemented throughout the US, that
will include client-level data (race, ethnicity, age, gender), program-level data (geocoded location, capacity,
size, setting, payment, role availability), provider-level data (race, ethnicity, professional credentials), and
neighborhood-level census data (residential segregation, ethnic density, area deprivation, rural-urban
continua, broadband internet subscription, public transit time). Our specific aims are to 1) Characterize the
variations in facility-level characteristics of CSC programs by geographical location; 2) Examine geographic
availability and accessibility of CSC programs based on neighborhood-level characteristics; and 3) Develop
an interactive dashboard, using web-mapping technology, that will enable decision makers and community
stakeholders to identify areas with poor access to CSC programs. The proposed research represents a novel
application of advanced spatial analytics that will advance understanding on geographic inequities and
accessibility of CSC programs, which can used to inform policy and the future implementation of CSC
programs in high-need areas with limited access.
抽象的
协调的专业护理(CSC)是美国早期精神病的护理标准。由5-支持
在社区心理健康方面的赠款计划中,有10%的定位,针对以证据的早期为目标
干预措施,大约350个CSC计划已在美国的49个州实施。
个人居住的社区是健康的重要决定者和大多数广泛的社区
在邻里级别的决定者和早期精神病方面的工作集中在对个人级别的影响上
诸如精神病的事件和发作以及未经治疗的精神病的持续时间等因素,但很少
研究已经检查了邻里级别的特征,以寻求早期精神病服务的障碍。
研究强调了精神卫生服务的重要性
对于个人的社区而言,对CSC的空间分布和可访问性知之甚少
在美国的程序。我们对访问CSC的潜在困难有明显的差距
计划以及CSC计划的地理位置和分布是否有助于
不平等。为了解决这一差距,我们提出的研究的总体目标是表征CSC计划
并了解访问CSC计划的地理分布和不平等。我们将创建
一个新颖的集成的CSC计划的多层地理空间数据库,该数据库在美国实施,
将包括客户级数据(种族,种族,年龄,性别),程序级数据(地理编码的位置,容量,
大小,设置,付款,角色可用性),提供商级别的数据(种族,种族,专业证书)和
邻里级人口普查数据(住宅隔离,种族密度,地区剥夺,农村城市
Continua,宽带互联网订阅,公共交通时间)。我们的具体目的是1)表征
通过地理位置,CSC计划的设施级特征的变化; 2)检查地理
基于社区级特征的CSC计划的可用性和可访问性; 3)发展
使用网络映射技术的交互式仪表板将使决策者和社区能够
利益相关者确定访问CSC计划不佳的领域。拟议的研究代表了一个小说
高级空间分析的应用,这些空间分析将提高对地理不平等和
CSC计划的可访问性,可以用来告知政策和CSC的未来实施
访问有限的高需求区域的计划。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Oladunni Oluwoye的其他文献
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{{ truncateString('Oladunni Oluwoye', 18)}}的其他基金
A Family Peer Navigator Model to Increase Access and Initial Engagement in Coordinated Specialty Care Programs Among Black Families
家庭同伴导航模型,以增加黑人家庭对协调专业护理计划的访问和初步参与
- 批准号:
10597673 - 财政年份:2022
- 资助金额:
$ 24.41万 - 项目类别:
Improving Engagement among Families Experiencing First-Episode Psychosis
改善首发精神病家庭的参与度
- 批准号:
10501705 - 财政年份:2022
- 资助金额:
$ 24.41万 - 项目类别:
Geographic Disparities in the Availability and Accessibility of Coordinated Specialty Care Programs for Early Psychosis
早期精神病协调专业护理计划的可用性和可及性的地理差异
- 批准号:
10673950 - 财政年份:2022
- 资助金额:
$ 24.41万 - 项目类别:
A Family Peer Navigator Model to Increase Access and Initial Engagement in Coordinated Specialty Care Programs Among Black Families
家庭同伴导航模型,以增加黑人家庭对协调专业护理计划的访问和初步参与
- 批准号:
10424755 - 财政年份:2022
- 资助金额:
$ 24.41万 - 项目类别:
Improving Engagement among Families Experiencing First-Episode Psychosis
改善首发精神病家庭的参与度
- 批准号:
10241941 - 财政年份:2019
- 资助金额:
$ 24.41万 - 项目类别:
Improving Engagement among Families Experiencing First-Episode Psychosis
改善首发精神病家庭的参与度
- 批准号:
10460243 - 财政年份:2019
- 资助金额:
$ 24.41万 - 项目类别:
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