Online Simulation

And More

Top Tags

  1. OMIC analysis
  2. colorectal cancer
  3. biomarker discovery
  4. health services research
  5. screening
  6. mass spectrometry
  7. proteomics
  8. proteome discovery pipeline
  9. statistical models
  10. population-based models
  11. sample acquisition
  12. metabolomics
  13. visual analytics
  14. global proteomics
  15. lipidomics
  16. cceHUB
  17. peptide synthesis
  18. cancer care engineering
  19. diet
  20. peptides
  21. XCT PLUS
  22. tool:workspace
  23. alignment
  24. multi-agent based modeling
  25. cancer care systems

Other

Support

Trouble Report

For immediate assistance browse through our support center. You can find answers to many questions in just a few minutes.

If still experiencing problems, send us a report.

required
Why the math question?

Health Services Research

Posted 13 Oct, 2008 in Series

Abstract

Improving Cancer Care Delivery for Indiana Veterans: Health Services Research

The overall goal is to measure the added value of combining Veterans Health Administration (VHA) and non-VHA electronic medical record (EMR) data resources, versus VHA data alone, in assessing care delivery for Indianapolis veterans with lung, prostate, or colorectal cancer who utilize Roudebush Veterans Administration Medical Center (RVAMC) services in Indianapolis, Indiana.

We seek to accomplish this goal by linking VHA EMR data with Indiana Network for Patient Care (INPC) data. Linkage of VHA and INPC data will provide an opportunity to determine the degree to which Indianapolis veterans utilize non-VA care for treatment, surveillance testing, preventive services, disease prevention, and medications. VHA healthcare will be assessed using EMR data (CPRS VistA) and RVAMC cancer registry information. Care delivered outside the RVAMC will be assessed using INPC data.

Due to the groundwork performed in establishing the INPC, we have the unique opportunity to assess the type of care veterans receive in private sector settings. Creation of a VA-INPC data link is important for multiple reasons. The measurement of care delivered outside the VHA would improve the capture of performance data in both the RVAMC and INPC facilities and would identify unnecessary or duplicate testing. These data will help inform visualization of healthcare EMR. Furthermore, successful linkage of VA and INPC data will provide the VHA with convincing empiric evidence concerning the need for data sharing between VHA and the private sector.

  • Specific Aim 1: To obtain approval for linking VA and INPC data for veterans with prostate, lung, or colorectal cancer in Indianapolis.
  • Specific Aim 2: To develop and pilot data linkage algorithms for combining VA and INPC data, among veterans with prostate, lung, or colorectal cancer and appropriate controls.
  • Specific Aim 3: To assess the validity of the linked VA and INPC dataset regarding receipt of necessary preventive services, management of chronic disease, and resource use among veterans with prostate, lung, or colorectal cancer in comparison to controls without cancer.
Cite this work

If you reference this work in a publication, please cite as follows:

  • (2008), "Health Services Research," http://ccehub.org/resources/106.

    BibTex | EndNote

In This Series

  1. A Hierarchical System Based Approach to Improving Cancer Care

    29 Aug. 2008 | Teaching Materials | Contributor(s): Ann Christine Catlin

    The presentation title is "Developing a Hierarchical System Based Approach to Improving Cancer Care: Establishing an Indiana Prototype for Next-generation Colorectal Cancer Care". The Cancer Care Engineering (CCE) hierarchy of projects proposes a methology for improving cancer care and directing …

  2. Cancer Care Life-Cycle/Continuum

    19 Jun. 2008 | Online Presentations | Contributor(s): Seza Orcun

    This presentation gives an abstract overview of the Cancer Care Life-Cycle Continuum.Dr. Aydogan-Cremaschi, Purdue University, Discovery Park Dr. Cripe, Indiana University, School of Medicine Dr. B. Doebbeling, Indiana University, School of Medicine Dr. C. Doebbeling, Indiana University, School …

  3. Predicting Patient-specific CRC Incidence from Polyp Prevalence

    17 Jun. 2008 | Teaching Materials | Contributor(s): Eric Sherer

    Seminal work on CRC incidence modeling argued that the slope of the linear log-log CRC incidence with age implies that 6 or 7 somatic mutations are required for transformation to CRC. Subsequent modeling efforts have built on this theme by using models of linear, sequential transformations for …

  4. Colorectal Cancer Incidence Prediction Model

    16 Jun. 2008 | Tools | Contributor(s): Eric Sherer, Mohd Rahmad

    Stochastic simulation of polyp and colorectal cancer (CRC) incidence with patient age.