Clinically enhanced multi-purpose administrative dataset for comparative effectiv

临床增强的多用途管理数据集，用于比较有效

基本信息

批准号：
8054699
负责人：
Hamisu Salihu
金额：
$ 112.3万
依托单位：
UNIVERSITY OF SOUTH FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-30 至 2013-09-29
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8054699
关键词：
Clinically enhanced multi purpose administrative

项目摘要

DESCRIPTION (provided by applicant): Comparative effectiveness research is increasingly becoming an essential tool in health care research, and decision-making, and quality improvement process. The newly enacted health care reform establishes a new perspective of health care services with emphasis and incentives for cost-containment and efficient utilization of resources. The paucity of critical comparative cost-effectiveness information to assess intervention options that will enable care providers, consumers, decision-making parties as well as other stakeholders to make informed decisions and choices on available alternatives could hamper the realization of the potentially accruable benefits of the new health care reform. The state of Florida suffers from a very costly health care system with global annual health care expenditure growth, personal health care and per capita health care expenditures that exceed the national average. The virtual absence of reliable and rigorously validated large, clinically enhanced administrative databases statewide hinders the ability of public health and other researchers to offer evidence-based data that could inform decision-making and improve efficient utilization of health care resources in the state. It is for this reason that the project in this grant proposal is capital for the state because it envisages filling this gap, which is a necessary step if Florida is to succeed in achieving a cost-effective and efficient health care delivery system in the future under the newly enacted national health care reform. The choice of maternal and child health as a focus is timely and well-informed because despite huge spending, Florida is performing below average compared to the rest of the nation in preventing maternal deaths and preterm births. It is for these reasons that we propose this study with the following specific aims: Specific Aim 1: To create an expanded clinically enhanced maternal-infant dataset for the State of Florida by augmenting the current statewide hospitalization data files through linkages to other data sources; Specific Aim 2: To validate the created dataset in Specific Aim 1 through a rigorous process that will establish confidence in the use of the dataset by the public; Specific Aim 3: To demonstrate the utility of the newly created enriched dataset in conducting comparative effectiveness analysis using early term elective delivery as a case study. The dataset from the project will encompass information from the following data sources: the birth certificate, in-patient hospital discharge data, ambulatory and emergency department data, financial data and Florida maternal mortality data. The success of the project is assured because the undertaking is based on an existing firm statewide partnership that has already completed an earlier data linkage activity that resulted in a refined dataset which will serve as the main template for the activities proposed for this grant. The project is important for Florida because it could lead to research that will provide critical information required to enable health care stakeholders effectively promote best clinical practices and to monitor quality improvement with the overall objective of enhancing maternal-infant health in the state. PUBLIC HEALTH RELEVANCE: The aim of this study is to create a reliable large statewide database that contains clinical and non-clinical information which will be useful for comparative effectiveness research and will serve as a tool for quality improvement with the overall objective of enhancing overall population health. The newly created dataset from the project will encompass information from the following data sources: the birth certificate, in-patient hospital discharge data, ambulatory and emergency department data, financial data and Florida maternal mortality data. The proposed project enjoys a strong statewide collaborative partnership that has been working together for sometime now to attain some of the objectives spelled out for this grant, and hence, the proposal has a very high probability of success.

描述（由申请人提供）：比较有效性研究越来越成为医疗保健研究，决策和质量改进过程中的重要工具。新制定的医疗改革建立了对卫生保健服务的新观点，重点是成本维护和有效利用资源的激励措施。批判性比较成本效益信息的匮乏来评估干预方案，这将使护理提供者，消费者，决策方以及其他利益相关者能够对可用替代方案做出明智的决策和选择，这可能会妨碍实现潜在的可抵消收益新的医疗改革。佛罗里达州患有非常昂贵的医疗保健系统，其全球年度医疗保健支出增长，个人医疗保健和人均医疗保健支出超过了全国平均水平。实际上缺乏可靠且严格验证的大型，临床增强的行政数据库全州范围内的公共卫生和其他研究人员提供了基于证据的数据，这些数据可以为决策提供信息，并提高该州医疗资源的有效利用。出于这个原因，该赠款提案中的项目是国家的资本，因为它设想填补这一差距，如果佛罗里达州将来能够成功实现成本效益高效的医疗保健提供系统，这是必要的一步。新制定的国家卫生保健改革。选择母亲和儿童健康作为重点是及时且信息良好，因为尽管支出巨大，但与全国其他地区相比，佛罗里达州在预防孕产妇死亡和早产出生方面的表现低于平均水平。正是由于这些原因，我们以以下特定目的提出了这项研究：特定目的1：通过通过与其他数据源的链接来增强全州范围的住院数据文件，为佛罗里达州创建扩展的临床增强的产妇数据集；特定目标2：通过严格的过程在特定目标1中验证创建的数据集，该过程将确立公众对数据集使用的信心；特定目的3：以使用早期选修课作为案例研究进行比较有效性分析，以证明新创建的丰富数据集的实用性。该项目的数据集将包含以下数据来源的信息：出生证明，住院医院出院数据，卧床和急诊科数据，财务数据和佛罗里达州孕产妇死亡率数据。确保该项目的成功是因为该承诺基于现有的州范围内的合作伙伴关系，该公司已经完成了早期的数据链接活动，该数据将导致精致的数据集，该数据集将作为本赠款提议的活动的主要模板。该项目对佛罗里达很重要，因为它可能会导致研究，该研究将提供所需的关键信息，以使医疗保健利益相关者有效地促进最佳临床实践并监测质量的改善，并以增强该州产妇健康的整体目标。公共卫生相关性：这项研究的目的是创建一个可靠的大型全州数据库，其中包含临床和非临床信息，这将用于比较有效性研究，并将作为质量改进的工具，以增强整体人群的整体目标健康。从项目中创建的新创建的数据集将包括以下数据来源的信息：出生证明，住院医院出院数据，卧床和急诊科数据，财务数据以及佛罗里达州孕产妇死亡率数据。拟议的项目享有一个全州范围内的合作伙伴关系，现在已经有一段时间了，以实现这笔赠款的一些目标，因此，该提案的成功可能性很高。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Cutting-edge technology for public health workforce training in comparative effectiveness research.

比较有效性研究中公共卫生劳动力培训的尖端技术。

DOI：
10.1177/1460458212461366
发表时间：
2013
期刊：
Health informatics journal
影响因子：
3
作者：
Salinas-Miranda,AbrahamA;Nash,MichelleC;Salemi,JasonL;Mbah,AlfredK;Salihu,HamisuM
通讯作者：
Salihu,HamisuM

Assessing the economic impact of paternal involvement: a comparison of the generalized linear model versus decision analysis trees.

评估父亲参与的经济影响：广义线性模型与决策分析树的比较。

DOI：
10.1007/s10995-013-1372-0
发表时间：
2014
期刊：
Maternal and child health journal
影响因子：
2.3
作者：
Salihu,HamisuM;Salemi,JasonL;Nash,MichelleC;Chandler,Kristen;Mbah,AlfredK;Alio,AminaP
通讯作者：
Alio,AminaP

Transformative Use of an Improved All-Payer Hospital Discharge Data Infrastructure for Community-Based Participatory Research: A Sustainability Pathway.

改进的全付费医院出院数据基础设施的变革性使用，用于基于社区的参与性研究：可持续发展途径。