142nd APHA Annual Meeting and Exposition

Annual Meeting Recordings are now available for purchase

302911
Leveraging Resources to Enhance Data Capacity and Utilization in Nebraska

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Tuesday, November 18, 2014 : 1:10 PM - 1:30 PM

Ming Qu, PhD. , Division of Public Health, Nebraska Dept. of Health and Human Services, Lincoln, NE
Ge Lin, PhD , College of Public Health, University of Nebraska Medical Center, Omaha, NE
Jianhua Qin, MS , Division of Public Health, Dept. of Health and Human Services, Lincoln, NE
Jeff Armitage , Division of Public Health, Dept. of Nebraska Health and Human Services, Lincoln, NE
Introduction: In 2011, the Nebraska Department of Health and Human Services Division of Public Health (DHHS-DPH) and the University of Nebraska Medical Center College of Public Health (UNMC-CoPH) jointly established the Nebraska Public Health Data Center designed to promote the utilization of public health data to support public health practice, surveillance and research.

 Methods:  Since 2011, the Center has identified data sources to create and update a public health data inventory; a website for the Center was developed; and the Center collaborated with the Nebraska Hospital Association to utilize data linkages to create a Master Data Index (MDI), geocode selected datasets, and conduct several studies.

 Results: The data inventory contains 100 data sets. The webpage provides a brief description of each data set and query functions that allow data users to search for and utilize available data more efficiently. The Master Data Index was developed based on Birth Certificate, Hospital Discharge Data, Cancer Registry, Trauma Registry and Death Certificates, all of which can be integrated based on the federation model. This big data have been geocoded, with additional census tract or neighborhood information. Protocols have been established to guide future data linkages and data utilization.  Several demonstration studies using the linked data for research and public health practice have been completed.  

 Conclusions: Under the current public health system with different data ownership, MDI and federation data usage model are feasible and effective for integration massive datasets.  The MDI provides data infrastructure across most often used and data intensive programs that cannot be achieved with any individual programs.  Leveraging resources at both DHHS-DPH and UNMC-CoPH is proved to be cost effective. In addition, the collaboration with a private health care organization, has made it possible to increase the utilization of public health data to improve public health practice, surveillance and research.

Learning Areas:

Communication and informatics
Epidemiology
Public health administration or related administration
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Demonstrate an effective federation data model that leverages resources at state health department and research institution to enhance data capacity and utilization by integrating and indexing public health data. Develop data inventory and integrate health data by collaborating with public and private organizations. Emphasize novel data utilization to improve public health practices including surveillance and research.

Keyword(s): Data Collection and Surveillance, Public Health Infrastructure

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been administrator of the Epidemiology and Health Informatics Unit, Nebraska Department of Health and Human Services (DHHS), overseeing nearly 70 public health professionas including epidemiologists,statisticians, and informaticians. I severed as injury epidemiologist and CODES Administrator from 1999 to 2007 at DHHS. I have extensive experiences in charonic disease/injury epdideiology, public health surveillance, data linkage and integration, and research.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.