Identifying and Understanding the Social and Policy Determinants of Obstetric-Care, Maternal Mortality, and Morbidity

识别和理解产科护理、孕产妇死亡率和发病率的社会和政策决定因素

基本信息

  • 批准号:
    2315809
  • 负责人:
  • 金额:
    $ 34.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-01 至 2025-08-31
  • 项目状态:
    未结题

项目摘要

Maternal mortality (defined as death during pregnancy or within 1 year of giving birth) and maternal morbidity (any health condition linked to pregnancy or birth that causes negative consequences) occur at alarming rates in the United States. In fact, the U.S. has the highest rates of maternal mortality and morbidity of all industrialized countries. Black, Indigenous, and People of Color (BIPOC) who give birth in the U.S. die nearly three times as often as White women. Research also shows vast, nationwide racial disparities in the access to and use of care by these groups. The research on this topic generally is done in many disconnected fields of study, which delays progress toward solutions. This project addresses limitations in past research by using an innovative, multi-disciplinary, comprehensive approach to understanding how individual factors like socioeconomic status, community-level factors like racism, and health behavior factors like substance use and obesity can interact to increase the risk of complications during pregnancy and birth. By using a nationally representative data set, researchers identify how inequality factors can predict the risk of negative maternal health outcomes and care use. Using the findings from a vast dataset assists in shaping the interviews with 100 mothers. The mothers interviewed have lived experience and a variety of risk factors found in the dataset. The high rates of maternal mortality and morbidity in a nation that spends over $4 trillion on healthcare are problematic and require both a statistical and a lived-experience approach to develop solutions for providers, families, and policymakers.This project uses a mixed methods approach to analyze maternal health outcomes across the U.S. First, researchers conduct a statistical analysis of maternal mortality using data from the National Center for Health Statistics (NCHS), and of maternal morbidity and obstetric risk using data from the Pregnancy Risk Assessment Monitoring System (PRAMS). Those findings can assist in informing participant interviews with 100 women from a Texas, which has the country’s highest uninsured rates and a complicated history with Medicaid expansion. These contextual factors and the state’s extensive racial and ethnic diversity make it a natural laboratory for research into the maternal experiences of pregnancy and health. Interviews focus on eliciting the experiences and behaviors of people who give birth in order to understand their access to and utilization of health-promoting resources and their exposure to social, environmental, and economic risk factors prior to and after the prenatal period. These interviews provide information on how health risks are internalized and relate to pregnant and postpartum people's perceptions of their health status, as well as about their health behavior and medical care utilization. Likewise, interviews investigate trust in the care system, as there are stories of women not coming to obstetric care or to the hospital due to distrust. The mixed-method approach provides a more comprehensive understanding of maternal risks and how people who give birth make sense of, experience, and try to manage those risks. Much of the existing quantitative research in this area examines policies and solutions, without understanding how people who give birth make sense of their risks and how people may or may not mitigate the impact of policy. The research team utilizes a broader understanding of maternal risk to track how these factors affect maternal health during pregnancy and delivery and up to a year after birth. This interdisciplinary research team comes from diverse scientific backgrounds with direct contact with community organizations, enabling them to bring this research to the public to produce actionable change on these issues. This project has potential to help improve maternal health policy and practice.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在美国,孕产妇死亡率(定义为妊娠期间或分娩后1年内的死亡)和孕产妇发病率(与妊娠或分娩有关的任何健康状况,导致负面后果)的发生率令人震惊。事实上,美国是所有工业化国家中产妇死亡率和发病率最高的国家。在美国分娩的黑人、土著人和有色人种(BIPOC)的死亡率几乎是白色妇女的三倍。研究还表明,这些群体在获得和利用护理方面存在巨大的全国性种族差异。关于这个主题的研究通常是在许多互不相关的研究领域进行的,这会延迟解决方案的进展。该项目通过使用一种创新的,多学科的,全面的方法来了解社会经济地位等个人因素,种族主义等社区因素以及物质使用和肥胖等健康行为因素如何相互作用来解决过去研究的局限性。通过使用具有全国代表性的数据集,研究人员确定了不平等因素如何预测负面孕产妇健康结果和护理使用的风险。使用来自大量数据集的调查结果有助于塑造与100位母亲的访谈。受访的母亲有生活经验和数据集中发现的各种风险因素。在一个花费超过4万亿美元用于医疗保健的国家,孕产妇死亡率和发病率很高,这是一个问题,需要统计和生活经验的方法来为提供者、家庭和政策制定者制定解决方案。该项目使用混合方法来分析美国各地的孕产妇健康结果。研究人员利用国家卫生统计中心(NCHS)的数据对孕产妇死亡率进行了统计分析,使用妊娠风险评估监测系统(PRAMS)的数据,对孕产妇发病率和产科风险进行了评估。这些发现可以帮助参与者对来自德克萨斯州的100名妇女进行采访,德克萨斯州拥有全国最高的未保险率和医疗补助扩张的复杂历史。这些背景因素和该州广泛的种族和民族多样性使其成为研究孕妇怀孕和健康经历的天然实验室。访谈的重点是引出的经验和行为的人谁生,以了解他们的访问和利用促进健康的资源和他们接触到的社会,环境和经济风险因素之前和之后的产前期间。这些访谈提供了关于健康风险如何内在化的信息,并与怀孕和产后的人对自己的健康状况的看法,以及他们的健康行为和医疗保健利用有关。同样,访谈调查了对护理系统的信任,因为有妇女因不信任而不去产科护理或医院的故事。混合方法提供了一个更全面的了解产妇的风险,以及人们如何生产的意义,经验,并试图管理这些风险。这一领域现有的许多定量研究都在考察政策和解决方案,而不了解生育者如何理解他们的风险,以及人们如何减轻或不减轻政策的影响。研究小组利用对孕产妇风险的更广泛理解来跟踪这些因素如何影响孕产妇在怀孕和分娩期间以及出生后长达一年的健康。这个跨学科的研究团队来自不同的科学背景,与社区组织直接接触,使他们能够将这项研究带给公众,以在这些问题上产生可操作的变化。该项目有潜力帮助改善产妇保健政策和实践。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Neema Langa其他文献

Understanding the intersection of transportation safety and quality of life: Insights from community surveys in Austin, Texas
理解交通安全与生活质量的交集:得克萨斯州奥斯汀社区调查的见解
  • DOI:
    10.1016/j.cities.2025.105964
  • 发表时间:
    2025-07-01
  • 期刊:
  • 影响因子:
    6.600
  • 作者:
    Boniphace Kutela;Subasish Das;Syed Aaqib Javed;Abbas Sheykhfard;Frank Ngeni;Sia M. Lyimo;Hellen Shita;Neema Langa
  • 通讯作者:
    Neema Langa
Racial Differences in Self-Appraisal, Religious Coping, and Psychological Well-being in later Life during the COVID-19 Pandemic
COVID-19 大流行期间自我评价、宗教应对和晚年心理健康方面的种族差异
  • DOI:
    10.18278/jep.1.3.4
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. Goler;T. Bhatta;N. Lekhak;Neema Langa
  • 通讯作者:
    Neema Langa
Assessing Racial and Ethnic Disparities in Timing of Pregnancy Related Deaths.
评估妊娠相关死亡时间的种族和民族差异。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Zelma Tuthill;Neema Langa;Sanjana Perungulam
  • 通讯作者:
    Sanjana Perungulam
Exploring pre-crash gate violations behaviors of drivers at highway-rail grade crossings using a mixed multinomial logit model
使用混合多项 Logit 模型探索高速公路-铁路平交路口驾驶员的预碰撞门违规行为
Associating stated preferences of emerging mobility options among Gilbert City residents using Bayesian Networks
  • DOI:
    10.1016/j.cities.2022.104064
  • 发表时间:
    2022-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Boniphace Kutela;Christian Mbuya;Suleiman Swai;Delphine Imanishimwe;Neema Langa
  • 通讯作者:
    Neema Langa

Neema Langa的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Understanding structural evolution of galaxies with machine learning
  • 批准号:
    n/a
  • 批准年份:
    2022
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目
Understanding complicated gravitational physics by simple two-shell systems
  • 批准号:
    12005059
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Minorities (dis)engagement in the majority-led social movements: a relational approach towards understanding the perception of "nation consciousness" among ethnoreligious minorities in the Middle East
少数群体(脱离)参与多数人主导的社会运动:一种理解中东民族宗教少数群体对“民族意识”认知的关系方法
  • 批准号:
    24K20991
  • 财政年份:
    2024
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Contagious by Nature: Understanding Optimisation of Social Networks in Wild Populations
本质上具有传染性:了解野生种群中社交网络的优化
  • 批准号:
    NE/V013483/2
  • 财政年份:
    2024
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Fellowship
Research on the developmental process of social cognition based on understanding similarities between self and others: A longitudinal study in the first twelve years of life
基于理解自我与他人相似性的社会认知发展过程研究——生命前十二年的纵向研究
  • 批准号:
    23H01035
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Understanding Inequalities and Interconnections in Health and Social Care.
了解健康和社会保健中的不平等和相互联系。
  • 批准号:
    2884207
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Studentship
"I cannot keep the weight off": Understanding the role of social identity in weight loss maintenance
“我无法保持体重”:了解社会身份在维持减肥中的作用
  • 批准号:
    2867783
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Studentship
Understanding the Social Network Premium in Hiring Low Wage Workers
了解雇佣低薪工人的社交网络溢价
  • 批准号:
    2242582
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Standard Grant
A Paradigm Shift in Health Behavior Change: Understanding When and How Social Comparison Supports Healthy Behavior
健康行为改变的范式转变:了解社会比较何时以及如何支持健康行为
  • 批准号:
    10685733
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
Multiphon imaging for understanding social brain function in tadpoles
多声子成像用于了解蝌蚪的社交脑功能
  • 批准号:
    10717610
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
Understanding how social interactions influence reward-seeking behaviors: Developmental mechanisms
了解社交互动如何影响寻求奖励的行为:发展机制
  • 批准号:
    10716898
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
Doctoral Dissertation Research: Innovating Iconographic Analysis to Improve Understanding of the Relationship between Social Organization and Ritual in Indigenous American Culture
博士论文研究:创新图像分析以增进对美国原住民文化中社会组织与仪式之间关系的理解
  • 批准号:
    2320213
  • 财政年份:
    2023
  • 资助金额:
    $ 34.01万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了