The Center for Rehabilitation Research using Large Datasets (CRRLD) was funded in 2010 to build scientific capacity among rehabilitation scientists in research using large healthcare and administrative datasets. In response to RFA HD-15-010, we propose to transform the currently funded Center into a new and expanded P2C Center for Large Data Research and Data Sharing in Rehabilitation. The new Center will continue to build scientific capacity in large data research by focusing on education and learning experiences designed to promote collaborative research through our successful pilot studies and visiting scholar programs. The goal of the P2C Center will expand from that of the CRRLD to include an important new focus on data sharing and archiving information from completed rehabilitation research studies. This new focus addresses recent federal requirements for sharing information and data from research studies supported by government funding. The new program will result in valuable datasets becoming available for secondary data analysis by rehabilitation and disability investigators. The transformed P2C Center will address the following Specific Aims.
Aim 1 : Develop Education and Training Programs.
Aim 2 : Facilitate Interdisciplinary Collaboration.
Aim 3 : Support Pilot Studies. Each of these aims will include activities and learning experiences involving the P2C Center's two focus areas: developing skills and expertise in large data research, and creating an infrastructure and activities to support archiving and sharing information from completed rehabilitation research studies. For example, for Aim 3, two types of pilot studies will be supported: studies involving research using large datasets and studies that involve archiving data from completed rehabilitation research investigations. Both types of pilot studies will include mentoring and collaboration with faculty members from the Center's consortium institutions. The consortium includes research teams from the University of Texas Medical Branch, Cornell University, and the University of Michigan at Ann Arbor. The transformed center will expand our successful Rehabilitation Data Directory with the creation of an archiving and data sharing portal. The portal will provide access to archived datasets along with information and learning opportunities related to data sharing. The P2C Center will build scientific capacity in important new areas related to health care reform and large data research that will advance rehabilitation science and practice.

Public Health Relevance

The expanded Center for Large Data Research and Data Sharing in Rehabilitation will continue to build research capacity in large data analytics by focusing on education and training activities, providing collaborative research opportunities and developing resources, and will now include new areas of archiving data and data sharing. The analysis and interpretation of large data is having a significant influence on changes healthcare services under the Affordable Care Act and the emergence of 'Big Data. The programs and activities supported by our Center will help the rehabilitation research community to meet the emerging challenges associated with large data, and become important contributors to healthcare reform and to the improvement of biomedical and rehabilitation health services research.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Resource-Related Research Multi-Component Projects and Centers (P2C)
Project #
5P2CHD065702-09
Application #
9528653
Study Section
Special Emphasis Panel (ZHD1)
Program Officer
Nitkin, Ralph M
Project Start
2010-09-18
Project End
2020-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
9
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Texas Med Br Galveston
Department
Physical Medicine & Rehab
Type
Sch Allied Health Professions
DUNS #
800771149
City
Galveston
State
TX
Country
United States
Zip Code
77555
Xiang, Xiaoling; Owen, Randall; Langi, F L Fredrik G et al. (2018) Impacts of an Integrated Medicaid Managed Care Program for Adults with Behavioral Health Conditions: The Experience of Illinois. Adm Policy Ment Health :
Cook, Chad; Coronado, Rogelio A; Bettger, Janet Prvu et al. (2018) The association of discharge destination with 30-day rehospitalization rates among older adults receiving lumbar spinal fusion surgery. Musculoskelet Sci Pract 34:77-82
Middleton, Addie; Kuo, Yong-Fang; Graham, James E et al. (2018) Readmission Patterns Over 90-Day Episodes of Care Among Medicare Fee-for-Service Beneficiaries Discharged to Post-acute Care. J Am Med Dir Assoc 19:896-901
Middleton, Addie; Li, Shuang; Kuo, Yong-Fang et al. (2018) New Institutionalization in Long-Term Care After Hospital Discharge to Skilled Nursing Facility. J Am Geriatr Soc 66:56-63
Li, Chih-Ying; Al Snih, Soham; Karmarkar, Amol et al. (2018) Early frailty transition predicts 15-year mortality among nondisabled older Mexican Americans. Ann Epidemiol 28:362-367.e3
Baker, Nancy A; Stevans, Joel M; Terhorst, Lauren et al. (2018) What Types of Treatment Are Provided for Patients With Carpal Tunnel Syndrome? A Retrospective Analysis of Commercial Insurance. PM R 10:826-835
Li, Chih-Ying; Karmarkar, Amol; Lin, Yu-Li et al. (2018) Is Profit Status of Inpatient Rehabilitation Facilities Independently Associated With 30-Day Unplanned Hospital Readmission for Medicare Beneficiaries? Arch Phys Med Rehabil 99:598-602.e2
Middleton, Addie; Graham, James E; Ottenbacher, Kenneth J (2018) Functional Status Is Associated With 30-Day Potentially Preventable Hospital Readmissions After Inpatient Rehabilitation Among Aged Medicare Fee-for-Service Beneficiaries. Arch Phys Med Rehabil 99:1067-1076
Liew, Sook-Lei; Anglin, Julia M; Banks, Nick W et al. (2018) A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Sci Data 5:180011
Middleton, Addie; Downer, Brian; Haas, Allen et al. (2018) Functional Status Is Associated With 30-Day Potentially Preventable Readmissions Following Skilled Nursing Facility Discharge Among Medicare Beneficiaries. J Am Med Dir Assoc 19:348-354.e4

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