scholarly journals Development of Predictive Informatics Tool Using Electronic Health Records to Inform Personalized Evidence-Based Pressure Injury Management for Veterans with Spinal Cord Injury

2021 ◽  
Vol 186 (Supplement_1) ◽  
pp. 651-658
Author(s):  
Kath M Bogie ◽  
Steven K Roggenkamp ◽  
Ningzhou Zeng ◽  
Jacinta M Seton ◽  
Katelyn R Schwartz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Spinal Cord ◽  
Spinal Cord Injury ◽  
User Interface ◽  
Veterans Health Administration ◽  
Study Cohort ◽  
Veterans Health ◽  
Health Administration ◽  
Cord Injury

ABSTRACT Background Pressure injuries (PrI) are serious complications for many with spinal cord injury (SCI), significantly burdening health care systems, in particular the Veterans Health Administration. Clinical practice guidelines (CPG) provide recommendations. However, many risk factors span multiple domains. Effective prioritization of CPG recommendations has been identified as a need. Bioinformatics facilitates clinical decision support for complex challenges. The Veteran’s Administration Informatics and Computing Infrastructure provides access to electronic health record (EHR) data for all Veterans Health Administration health care encounters. The overall study objective was to expand our prototype structural model of environmental, social, and clinical factors and develop the foundation for resource which will provide weighted systemic insight into PrI risk in veterans with SCI. Methods The SCI PrI Resource (SCI-PIR) includes three integrated modules: (1) the SCIPUDSphere multidomain database of veterans’ EHR data extracted from October 2010 to September 2015 for ICD-9-CM coding consistency together with tissue health profiles, (2) the Spinal Cord Injury Pressure Ulcer and Deep Tissue Injury Ontology (SCIPUDO) developed from the cohort’s free text clinical note (Text Integration Utility) notes, and (3) the clinical user interface for direct SCI-PIR query. Results The SCI-PIR contains relevant EHR data for a study cohort of 36,626 veterans with SCI, representing 10% to 14% of the U.S. population with SCI. Extracted datasets include SCI diagnostics, demographics, comorbidities, rurality, medications, and laboratory tests. Many terminology variations for non-coded input data were found. SCIPUDO facilitates robust information extraction from over six million Text Integration Utility notes annually for the study cohort. Visual widgets in the clinical user interface can be directly populated with SCIPUDO terms, allowing patient-specific query construction. Conclusion The SCI-PIR contains valuable clinical data based on CPG-identified risk factors, providing a basis for personalized PrI risk management following SCI. Understanding the relative impact of risk factors supports PrI management for veterans with SCI. Personalized interactive programs can enhance best practices by decreasing both initial PrI formation and readmission rates due to PrI recurrence for veterans with SCI.

scholarly journals Health Care Costs for Patients With Chronic Spinal Cord Injury in the Veterans Health Administration

2007 ◽  
Vol 30 (5) ◽  
pp. 477-481 ◽  
Author(s):  
Dustin D. French ◽  
Robert R. Campbell ◽  
Sunil Sabharwal ◽  
Audrey L. Nelson ◽  
Polly A. Palacios ◽  
...  
Keyword(s):  
Health Care ◽  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Health Care Costs ◽  
Veterans Health Administration ◽  
Veterans Health ◽  
Health Administration ◽  
Chronic Spinal Cord Injury ◽  
Cord Injury ◽  
Care Costs

scholarly journals Predictors of Veterans Health Administration utilization and pain persistence among soldiers treated for postdeployment chronic pain in the Military Health System

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel Sayko Adams ◽  
Esther L. Meerwijk ◽  
Mary Jo Larson ◽  
Alex H. S. Harris
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Chronic Pain ◽  
Veterans Health Administration ◽  
First Year ◽  
Veterans Health ◽  
Health Administration ◽  
Military Health System ◽  
Military Health ◽  
The Military

Abstract Background Chronic pain presents a significant burden for both federal health care systems designed to serve combat Veterans in the United States (i.e., the Military Health System [MHS] and Veterans Health Administration [VHA]), yet there have been few studies of Veterans with chronic pain that have integrated data from both systems of care. This study examined 1) health care utilization in VHA as an enrollee (i.e., linkage to VHA) after military separation among soldiers with postdeployment chronic pain identified in the MHS, and predictors of linkage, and 2) persistence of chronic pain among those utilizing the VHA. Methods Observational, longitudinal study of soldiers returning from a deployment in support of the Afghanistan/Iraq conflicts in fiscal years 2008–2014. The analytic sample included 138,206 active duty soldiers for whom linkage to VHA was determined through FY2019. A Cox proportional hazards model was estimated to examine the effects of demographic characteristics, military history, and MHS clinical characteristics on time to linkage to VHA after separation from the military. Among the subpopulation of soldiers who linked to VHA, we described whether they met criteria for chronic pain in the VHA and pain management treatments received during the first year in VHA. Results The majority (79%) of soldiers within the chronic pain cohort linked to VHA after military separation. Significant predictors of VHA linkage included: VHA utilization as a non-enrollee prior to military separation, separating for disability, mental health comorbidities, and being non-Hispanic Black or Hispanic. Soldiers that separated because of misconduct were less likely to link than other soldiers. Soldiers who received nonpharmacological treatments, opioids/tramadol, or mental health treatment in the MHS linked earlier to VHA than soldiers who did not receive these treatments. Among those who enrolled in VHA, during the first year after linking to the VHA, 49.7% of soldiers met criteria for persistent chronic pain in VHA. Conclusions The vast majority of soldiers identified with chronic pain in the MHS utilized care within VHA after military separation. Careful coordination of pain management approaches across the MHS and VHA is required to optimize care for soldiers with chronic pain.

Transformation of the US Veterans Health Administration

2006 ◽  
Vol 1 (2) ◽  
pp. 99-105 ◽  
Author(s):  
Jonathan B. Perlin
Keyword(s):  
United States ◽  
Health Care ◽  
Veterans Health Administration ◽  
The United States ◽  
Veterans Affairs ◽  
United States Department ◽  
Veterans Health ◽  
Department Of Veterans Affairs ◽  
Health Administration ◽  
The Us

Ten years ago, it would have been hard to imagine the publication of an issue of a scholarly journal dedicated to applying lessons from the transformation of the United States Department of Veterans Affairs Health System to the renewal of other countries' national health systems. Yet, with the recent publication of a dedicated edition of the Canadian journal Healthcare Papers (2005), this actually happened. Veterans Affairs health care also has been similarly lauded this past year in the lay press, being described as ‘the best care anywhere’ in the Washington Monthly, and described as ‘top-notch healthcare’ in US News and World Report's annual health care issue enumerating the ‘Top 100 Hospitals’ in the United States (Longman, 2005; Gearon, 2005).

P52. Health care use after incident visits for low back conditions in the Veterans Health Administration

2021 ◽  
Vol 21 (9) ◽  
pp. S165
Author(s):  
Anthony J. Lisi ◽  
Lori Bastian ◽  
Vivian T. Ly ◽  
Joseph Lucien Goulet
Keyword(s):  
Health Care ◽  
Veterans Health Administration ◽  
Health Care Use ◽  
Low Back ◽  
Veterans Health ◽  
Health Administration

Abstract P313: De-Conditioning Adversely Affects Subclinical Atherosclerosis in a Unique Cohort of Spinal Cord Injury

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Yaga Szlachcic ◽  
Rodney H Adkins ◽  
Jamie C Reiter ◽  
Yanjie Li ◽  
Howard N Hodis
Keyword(s):  
Risk Factors ◽  
Spinal Cord ◽  
Heart Rate ◽  
Spinal Cord Injury ◽  
Subclinical Atherosclerosis ◽  
Cvd Risk Factors ◽  
Peak Heart Rate ◽  
Cvd Risk ◽  
Cord Injury ◽  
Aerobic Conditioning

Introduction: Physical activity is presumed to improve cardiovascular disease (CVD), of which carotid artery intima-media thickness (CIMT) is a common indicator. Individuals with spinal cord injury (SCI) have limited mobility and therefore an expected increased risk for CVD. The purpose of this study was to determine which CVD risk factors predict CIMT among women with SCI, with the ultimate goal of targeting therapy to improve CVD in this population. Methods: One hundred twenty-two women with SCI who attended an outpatient SCI clinic and met inclusion and exclusion criteria participated in this study. SCI was categorized into 1 of 4 categories: complete tetraplegia, incomplete tetraplegia, complete paraplegia, and incomplete paraplegia. Maximum heart rate and VO2 max were obtained using bicycle ergometry with ventilatory gas exchange and continuous electrocardiogram. Hierarchical regression was used to predict CIMT, with the first block including demographic variables (age, race, smoking status) and the second block including physiologic variables (total cholesterol, heart rate, VO2 max, BMI, fasting serum glucose, hemoglobin A1c, and blood pressure). Results: Similar findings were observed for left and right CIMT, therefore only results from right CIMT are reported. The overall model was significant, F(16,46)=8.53, p=.000. Adjusted R square was .54 for the first block of variables and increased significantly (p=.006) to .66 when the second block of variables was added. Significant predictors at alpha=.05 included age (beta=.51, t=4.79, p=.000) and max/peak heart rate (beta=−.336, t=−2.39, p=.02). At alpha=.10, A1c was significant (beta=.187, t=1.99, p=.053). Conclusions: Although low aerobic conditioning is a purported CVD risk factor, quantitative measurements of such lack a demonstrable relationship with subclinical atherosclerosis (CIMT), perhaps because of its reduced importance relative to other CVD risk factors in a mobile population. We found expected relationships with CIMT in our SCI population (i.e., age), however we also found a quantitative measure of aerobic conditioning (max/peak heart rate) to be associated with CIMT. Our data indicate that SCI individuals may bear a greater CVD burden from cardiac de-conditioning than the general population and that investigation of a cohort with mobility limitation may provide a unique opportunity to study the impact of physical conditioning on CVD risk.

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