Identifying Outcomes and Implementation Strategies to Optimize Prenatal Care Coordination

确定优化产前护理协调的结果和实施策略

基本信息

批准号：
10710060
负责人：
Lawrence M Berger
金额：
$ 18.77万
依托单位：
UNIVERSITY OF WISCONSIN-MADISON
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：
2022-09-26 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10710060
关键词：
Accounting Address Attention Big Data Birth Records Black American Caring Child Client Clinical Clinical Trials Communities Community Health Aides Consolidated Framework for Implementation Research Data Data Set Data Sources Demographic Factors Disparity Emergency department visit Enrollment Ethnic Population Failure Fee-for-Service Plans Focus Groups Future Geographic Locations Goals Grant Health Health Services Health education Home visitation Hybrids Individual Infant Infant Health Infant Mortality Intervention Interview Investments Link Logistic Regressions Low Birth Weight Infant Maternal Health Maternal Mortality Medicaid Medicaid services Medical Modeling Morbidity - disease rate Mothers Native Americans Nurses Outcome Perinatal Policies Policy Maker Population Population Group Populations at Risk Positioning Attribute Postpartum Period Pregnancy Premature Birth Prenatal care Provider Public Health Qualifying Quality of Care Race Registered nurse Research Risk Assessment Service delivery model Services Site Social Conditions Social Work Social Workers Social support Source Structure Time Translations United States Visit Weight Wisconsin Woman adverse birth outcomes adverse outcome behavioral health black/white disparity care coordination care systems disparity reduction ethnic diversity evidence base flexibility health care availability high risk high risk population implementation determinants implementation outcomes implementation process implementation strategy implementation trial improved insight integrated care maternal morbidity maternal outcome mortality patient home care physical conditioning psychosocial racial disparity racial diversity racial population service coordination severe maternal morbidity social social determinants structural health determinants theories treatment effect

项目摘要

PROJECT SUMMARY AND ABSTRACT Few interventions successfully address racial disparities in maternal health outcomes. Social conditions—or social and structural determinants of health—are the major causes of persistent racial disparities in the US. Integrated models of care that offer home visiting and care coordination can support maternal health and have the potential to meaningfully reduce disparities. Prenatal care coordination (PNCC) is a fee-for-service Medicaid benefit, available in several states including Wisconsin. Its goal is to reduce rates of adverse birth outcomes including low birthweight and premature birth among mothers and infants at high risk. PNCC services include health education, care coordination, social support, and facilitating access to medical care and social services during pregnancy and up to 60 days following delivery for Medicaid-covered mothers. The long-term aim of this research is to improve the health outcomes of high-risk mothers and reduce disparities between racial and ethnic groups by strengthening the PNCC benefit’s implementation and impact. Specifically, this study aims to: 1: Describe the association of receiving PNCC services with five distinct maternal health outcomes among mothers who delivered in WI between 2011 and 2019. Leveraging a large, multisource data set, which links all Wisconsin birth records from 2011-2019 to Medicaid claims and other administrative data sources, we will develop regression models for each of five target outcomes: 1) adequate prenatal care, 2) a 6-week postpartum visit, 3) utilization of needed behavioral health services, 4) occurrence of severe maternal morbidity, and 5) emergency department visits, accounting for mother’s race and geographic location. 2: Evaluate the treatment effect of using a structured model of care to guide PNCC on the 5 target outcomes among mothers who received PNCC services between 2011 and 2019, (a) accounting for interactions with PNCC provider type and site type, and (b) additionally accounting for mother’s race and geographic location. Data will be analyzed using two-level logistic regression models with PNCC site type (public health department, clinical setting, community-based agency) at level 2 and provider type (nurse, community health worker, social worker) as a covariate, and individuals nested within those sites at level 1. 3: Qualitatively describe diverse PNCC providers’ perspectives on the relative advantage of using a structured model to guide PNCC services, implementation processes that impact PNCC, and target outcomes of PNCC. Using a deductive qualitative approach, we will conduct semi-structured interviews and focus groups at five PNCC sites across the state that vary by provider type and setting, and who serve clients from racially and ethnically diverse communities including Black and Native American mothers. Analyses will be framed by the Consolidated Framework for Implementation Science (CFIR), which describes factors that can influence implementation and is flexible enough to apply in multiple contexts.

项目摘要和摘要很少有干预措施成功地解决了孕产妇健康成果中的种族分布。社会状况 - 或卫生的社会和结构决定者是美国持续种族差异的主要原因。提供家庭访问和护理协调的综合护理模型可以支持物物健康，并拥有有意义地减少分布的潜力。产前护理协调（PNCC）是一项为服务费用的医疗补助福利，在包括威斯康星州在内的多个州可用。它的目标是降低不良出生结果的速度包括高风险的母亲和婴儿的出生体重和早产。 PNCC服务包括健康教育，护理协调，社会支持以及支持获得医疗和社会服务在怀孕期间，在分娩后长达60天，用于医疗补助的母亲。长期目标研究是为了改善高风险母亲的健康成果，并减少种族与种族之间的分布通过加强PNCC福利的实施和影响来组。具体而言，本研究的目的是： 1：描述接收PNCC服务与五个不同的母校健康成果的关联在2011年至2019年之间在WI中交付的母亲。威斯康星州的出生记录从2011 - 2019年到医疗补助索赔和其他行政数据来源，我们将为五个目标结果中的每一个开发回归模型：1）足够的产前护理，2）6周产后访问，3）利用所需的行为健康服务，4）发生严重的母亲发病率和5）紧急部门访问，考虑到母亲的种族和地理位置。 2：评估使用结构化护理模型指导PNCC对5个目标结果的治疗效果在2011年至2019年之间获得PNCC服务的母亲中（a）与PNCC互动提供者类型和网站类型，以及（b）还考虑了母亲的种族和地理位置。数据将使用PNCC站点类型（临床公共卫生部门）使用两级逻辑回归模型进行分析设置，基于社区的代理商）在2级和提供商类型（护士，社区卫生工作者，社会工作者）作为协变量，个人嵌套在1级的那些地点。 3：定性描述潜水员PNCC提供商对使用结构化的相对优势的观点指导PNCC服务的模型，影响PNCC的实施过程以及PNCC的目标结果。使用演绎定性方法，我们将在五个全州的PNCC站点因提供者类型和设置而异，谁在种族上为客户提供服务种族多元化的社区，包括黑人和美国原住民母亲。分析将由实施科学的合并框架（CFIR）构建，该框架描述了可以影响实施并具有足够灵活的因素，可以在多种情况下应用。