This study proposes retrospective analyses of a large database (3000+ unique cases) for post- hospital brain injury rehabilitation (PHBIR) programs from a number of diverse PHBIR programs offered by 11 rehabilitation provider organizations throughout the U.S. This database was developed with funding from the National Institute for Neurologic Diseases and Stroke (NINDS). Programs are classified in the database as intensive (aimed to improve function) or supportive (aimed to maintain functional gains) and may be offered either in residential (participants live at the facility) or nonresidential settings. The lng-term goal of the proposed research is to improve the evidence base for the practice of PHBIR through the analysis of real world programmatic methods and outcomes. The objectives are (1) to confirm that intensive PHBIR programs produce superior outcomes to supportive programs, and (2) to determine the characteristics of patients who benefit the most from various program types. Central hypotheses are that intensive programs are more effective and that the characteristics of individuals who benefit most from specific program types can be identified. The rationale for this line of research is that identifying the specific types of PHBIR programs that are of greatest benefit to specific types of patients with brain injury will improve the practce of PHBIR by providing a standardized evaluation method to guide PHBIR recommendations. The primary outcome variable of interest will be the Mayo-Portland Adaptability Inventory (MPAI-4), a widely used measure with sound, well- established psychometric properties. Data analyses will include (1) item-response theory analyses to develop parametric equivalent metrics for MPAI-4 variables for this sample, (2) statistical comparison of outcomes for intensive programs with supportive programs, (3) cluster analysis to identify distinct MPAI-4 profiles which signify pattern of disability, (4) a variety of converging methods to establish the minimal clinicaly important difference (MCID) for the MPAI- 4, and (5) linear and logistic regression analyses of demographic, injury-related, program- related and MPAI-4 severity and pattern data to determine which types of patients benefit most from which types of programs. The large sample will allow for cross-validation of appropriate analyses. The impact of accomplishing research goals using an externally valid, generalizable research methodology is to provide practical, evidence-based, and currently unavailable information that translates into a standardized evaluation to guide the practice of PHBIR.

Public Health Relevance

This project will examine outcomes, demographic, medical and program-related variables contained in a large database for post-hospital brain injury rehabilitation (PHBIR) outcomes. The study is designed to confirm that intensive programs achieve their stated goal of improving the abilities, adjustment and community participation of persons served compared to supportive programs which are designed to maintain function. Analyses will additionally seek to identify characteristics of individuals who benefit most from specific types of programs in order to develop an evidence-based standardized evaluation on which to base specific recommendations for PHBIR.

National Institute of Health (NIH)
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Small Research Grants (R03)
Project #
Application #
Study Section
Pediatrics Subcommittee (CHHD)
Program Officer
Quatrano, Louis A
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Indiana University-Purdue University at Indianapolis
Physical Medicine & Rehab
Schools of Medicine
United States
Zip Code
Malec, James F; Kean, Jacob; Monahan, Patrick O (2017) The Minimal Clinically Important Difference for the Mayo-Portland Adaptability Inventory. J Head Trauma Rehabil 32:E47-E54
Roca, F J; Loomans, H A; Wittman, A T et al. (2016) Ten-Eleven Translocation Genes are Downregulated in Endometriosis. Curr Mol Med 16:288-98
Malec, James F; Kean, Jacob (2016) Post-Inpatient Brain Injury Rehabilitation Outcomes: Report from the National OutcomeInfo Database. J Neurotrauma 33:1371-9
Rubel, Cory A; Wu, San-Pin; Lin, Lin et al. (2016) A Gata2-Dependent Transcription Network Regulates Uterine Progesterone Responsiveness and Endometrial Function. Cell Rep 17:1414-1425
Han, Sang Jun; Jung, Sung Yun; Wu, San-Pin et al. (2015) Estrogen Receptor ? Modulates Apoptosis Complexes and the Inflammasome to Drive the Pathogenesis of Endometriosis. Cell 163:960-74
Bruno, Robert D; Boulanger, Corinne A; Rosenfield, Sonia M et al. (2014) Paracrine-rescued lobulogenesis in chimeric outgrowths comprising progesterone-receptor-null mammary epithelium and redirected wild-type testicular cells. J Cell Sci 127:27-32
Kommagani, Ramakrishna; Szwarc, Maria M; Kovanci, Ertug et al. (2014) A murine uterine transcriptome, responsive to steroid receptor coactivator-2, reveals transcription factor 23 as essential for decidualization of human endometrial stromal cells. Biol Reprod 90:75
Yoo, Young A; Son, Jieun; Mehta, Fabiola F et al. (2013) Progesterone signaling inhibits cervical carcinogenesis in mice. Am J Pathol 183:1679-1687
Kommagani, Ramakrishna; Szwarc, Maria M; Kovanci, Ertug et al. (2013) Acceleration of the glycolytic flux by steroid receptor coactivator-2 is essential for endometrial decidualization. PLoS Genet 9:e1003900
Rubel, Cory A; Lanz, Rainer B; Kommagani, Ramakrishna et al. (2012) Research resource: Genome-wide profiling of progesterone receptor binding in the mouse uterus. Mol Endocrinol 26:1428-42

Showing the most recent 10 out of 21 publications