Abstract

The Center for Complexity and Self-management of Chronic Disease (CSCD Center) advances the science of self-management (SM) by addressing complexity, including the study of complex multi-component interventions and SM for people with complex comorbid conditions. The Pilot Core will focus on the CSCD Specific Aim 2: To expand the number and quality of research investigators who are successful in independently funded careers in self-management research to improve health outcomes. The research development efforts of the PCORE are focused on developing the skills of novice investigators. The following strategies will be employed to accomplish the above aim: (a) linking novice investigators with available resources within UM and the UM School of Nursing to facilitate their successful development as independent researchers who lead interdisciplinary teams focused on self-management, (b) soliciting, reviewing, and awarding pilot study funding to novice investigators to promote research focused on the use of complex interventions and self-management of people with multiple complex chronic diseases, and (c) facilitate the development of successful investigator-initiated programs of research through individual and group mentoring and scientific critique during proposal development.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Nursing Research (NINR)
Type
Exploratory Grants (P20)
Project #
1P20NR015331-01
Application #
8821270
Study Section
Special Emphasis Panel (ZNR1-REV-M (17))
Project Start
Project End
Budget Start
2014-09-26
Budget End
2015-07-31
Support Year
1
Fiscal Year
2014
Total Cost
$76,674
Indirect Cost
$27,353

  Institution

Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109

  Publications

Costa, Deena Kelly; Moss, Marc (2018) The Cost of Caring: Emotion, Burnout, and Psychological Distress in Critical Care Clinicians. Ann Am Thorac Soc 15:787-790
Kalinin, Alexandr A; Higgins, Gerald A; Reamaroon, Narathip et al. (2018) Deep learning in pharmacogenomics: from gene regulation to patient stratification. Pharmacogenomics 19:629-650
Marino, Simeone; Xu, Jiachen; Zhao, Yi et al. (2018) Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. PLoS One 13:e0202674
Casida, Jesus M; Aikens, James E; Craddock, Heidi et al. (2018) Development and Feasibility of Self-Management Application in Left-Ventricular Assist Devices. ASAIO J 64:159-167
Dinov, Ivo D; Palanimalai, Selvam; Khare, Ashwini et al. (2018) Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure. Teach Stat 40:64-73
Kalinin, Alexandr A; Allyn-Feuer, Ari; Ade, Alex et al. (2018) 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Sci Rep 8:13658
Sepehrband, Farshid; Lynch, Kirsten M; Cabeen, Ryan P et al. (2018) Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. Neuroimage 172:217-227
Tang, Ming; Gao, Chao; Goutman, Stephen A et al. (2018) Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics :
Stelmokas, Julija; Yassay, Lance; Giordani, Bruno et al. (2017) Translational MRI Volumetry with NeuroQuant: Effects of Version and Normative Data on Relationships with Memory Performance in Healthy Older Adults and Patients with Mild Cognitive Impairment. J Alzheimers Dis 60:1499-1510
Huang, Zhengnan; Zhang, Hongjiu; Boss, Jonathan et al. (2017) Complete hazard ranking to analyze right-censored data: An ALS survival study. PLoS Comput Biol 13:e1005887

Showing the most recent 10 out of 25 publications