Salemi Jason L, Salinas-Miranda Abraham A, Wilson Roneé E, Salihu Hamisu M
Department of Family and Community Medicine, Baylor College of Medicine, Houston, TX.
The Maternal and Child Health Comparative Effectiveness Research Group, Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL.
Health Serv Res. 2015 Aug;50 Suppl 1(Suppl 1):1322-38. doi: 10.1111/1475-6773.12309. Epub 2015 Apr 16.
To describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives.
DATA SOURCES/STUDY SETTING: Population-based, longitudinal database covering over 2.3 million mother-infant dyads during a 12-year period (1998-2009) in Florida.
A community-based participatory research (CBPR) project in a socioeconomically disadvantaged community in central Tampa, Florida.
Case study of the use of an enhanced state database for supporting CBPR activities.
A federal data infrastructure award resulted in the creation of an MCH database in which over 92 percent of all birth certificate records for infants born between 1998 and 2009 were linked to maternal and infant hospital encounter-level data. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community. Data were used to facilitate a community-driven, decision-making process in which the most important priorities for intervention were identified.
Integrating statewide all-payer, hospital-based databases into CBPR can empower underserved communities with a reliable source of health data, and it can promote the sustainability of newly developed data systems.
描述使用临床强化的母婴健康(MCH)数据库来加强社区参与研究活动,并支持数据基础设施计划的可持续性。
数据来源/研究背景:基于人群的纵向数据库,涵盖1998年至2009年期间佛罗里达州12年内超过230万对母婴。
佛罗里达州坦帕市中心一个社会经济弱势社区的基于社区的参与性研究(CBPR)项目。
使用强化的州数据库支持CBPR活动的案例研究。
一项联邦数据基础设施奖励促成了一个MCH数据库的创建,其中1998年至2009年出生的婴儿的所有出生证明记录中,超过92%与母婴医院就诊层面的数据相关联。这个基于人群的纵向数据库被用来用目标社区重要的母婴健康差异问题的流行病学和医疗保健成本数据补充从焦点小组和社区调查中收集的数据。数据被用来促进一个由社区驱动的决策过程,在这个过程中确定了最重要的干预优先事项。
将全州范围内所有支付方的基于医院的数据库整合到CBPR中,可以为服务不足的社区提供可靠的健康数据来源,并促进新开发的数据系统的可持续性。