理解背景:利用务实稳健的实施可持续性模式,为东南部社区孕前咨询干预措施的实施提供信息,以改善孕产妇健康公平。

Discover health systems Pub Date : 2025-01-01 Epub Date: 2025-06-13 DOI:10.1007/s44250-025-00257-z
N D Hernandez-Green, K Berry, M D Haiman, A McDonald, O T O Farinu, E Harris, A Suarez, L Rollins, C Franklin, T Williams, L S Clarke, M P Fort, A G Huebschmann
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引用次数: 0

摘要

背景:导致黑人/非裔美国妇女不良分娩结果的一个主要孕前风险是心血管健康。孕前咨询可以减少孕产妇保健不公平现象,预防致命的心血管疾病,并改善母亲在怀孕前、怀孕期间和怀孕后的整体健康状况。本文考察了影响以社区为基础的个性化个人电脑干预措施实施的环境因素,以确保服务不足人群的公平获取。方法:我们使用实用稳健实施科学模型(PRISM)来指导社区合作站点之间的混合方法评估,为美国东南部黑人成人PC干预的实施提供信息。我们建立了社区利益相关者的区域问责委员会(RAB),并进行了合作站点调查(n = 10),以确定组织特征,并与在我们的合作站点接受服务的站点工作人员和社区成员进行了小组访谈。结果:社区和组织对PC干预有强烈的支持。合作伙伴网站表示有中等能力实施PC;然而,鉴于提供个人电脑和组织供资的经验有限、工作人员更替以及缺乏现场医疗服务,需要加强基础设施和组织对执行工作的支持。现有的社区信任和健全的推荐网络是所有网站的主要优势。结论:在整个过程中,协作社区伙伴关系体现了PC执行的关键社区优先事项、优势和需求。使用多种方法收集社区数据和反馈信息,对实施计划进行迭代修订,这些计划已定位合作伙伴站点,以向风险社区提供文化上一致的PC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding context: leveraging the pragmatic robust implementation sustainability model to inform the implementation of a community-based southeastern preconception counseling intervention to improve maternal health equity.

Background: One major preconception risk driving poor childbirth outcomes in Black/African American women is cardiovascular health. Preconception counseling (PC) can reduce maternal health inequities, prevent fatal cardiovascular conditions, and improve the overall health of mothers before, during, and after pregnancy. This article examines contextual factors influencing the implementation of a community-based and culturally tailored PC intervention, ensuring equitable access amongst underserved populations.

Methods: We used the Practical Robust Implementation Science Model (PRISM) to guide a mixed-methods assessment among community partner sites to inform the implementation of a PC intervention for Black adults in the Southeastern U.S. We developed a regional accountability board (RAB) of community stakeholders and conducted a partner site survey (n = 10) to identify organizational characteristics and group interviews with site staff and community members that receive services at our partner sites.

Results: There was strong community and organizational buy-in for the PC intervention. Partner sites indicated moderate capability to implement PC; however, there was a need for enhanced infrastructure and organizational support for implementation, given limited experience providing PC and organizational funding, staff turnover, and lack of on-site medical services. Existing community trust and robust referral networks were major strengths among all sites.

Conclusion: Collaborative community partnerships engaged throughout this process surfaced key community priorities, strengths, and needs for PC implementation. Using multiple methods to gather community data and feedback informed iterative revisions to the implementation plans that have positioned partner sites to deliver culturally congruent PC to at-risk communities.

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