Determinants of Utilization and Cost of VHA Care by OEF/OIF Veterans Screened for Mild Traumatic Brain Injury
By Hendricks, Ann | |
Proquest LLC |
ABSTRACT Objective: To determine the demographic and service characteristics that differentially impact utilization and cost of
INTRODUCTION
The Armed Services, (
The nation has relied heavily on the RCs since the end of the Cold War, with the latest activation for the engagements in and around
Females have been actively involved in higher numbers than ever before in military deployments. Under the direct ground combat exclusion assignment rule implemented in 1994, the
Since 2000, there have been nearly 300,000 traumatic brain injuries (TBIs) diagnosed in U.S. service members around the world. Approximately 80% of these TBIs have been mild11 in severity. In theater, mild TBI can sometimes go undiag- nosed, or have a delayed diagnosis, for multiple reasons, including service member reluctance to report medical injuries or mild TBI being overlooked for more apparent injuries that require immediate attention.12,13
Although deployment-related TBI is less commonly expe- rienced by women than men, available data suggest that approximately 11% of female OEF/OIF Veterans have experi- enced probable TBI.17 Moreover, mental and physical health symptoms among women Veterans with deployment-related TBI, such as memory or sleep problems, headaches, anxiety, and depression, have been significant.21
VHA policy is to use its national electronic medical record system for clinical reminders to provide a TBI screening to all OEF/OIF Veterans receiving VHA medical care.22 The screen, which can be performed by any provider, consists of four sequential sets of questions concerning (1) exposure to events that may increase risk of TBI, (2) symptoms that occurred immediately after the event, (3) new symptoms or symptoms that worsened after the event, and (4) current symptoms. Veterans who respond positively to one or more problems in each of the four sections are considered to screen positive for TBI. The VA screening tool has high sensitivity and moderate specificity,23 and is intended to be inclusive to avoid any potential unidentified cases of TBI. Thus, it is policy for those who screen positive to be offered a referral to a comprehensive TBI evaluation (CTBIE), to be performed within 30 days of a positive TBI screen,22 so that a clinician with TBI expertise may provide a more thorough assessment.
The CTBIE involves a medical examination, and the eval- uating clinician follows a protocol to document deployment experiences, such as type and number of potential TBI- related events and injuries. The evaluation includes comple- tion of the 22-item Neurobehavioral Symptom Inventory,24,25 for which the patient rates the extent to which he or she has been affected by various health symptoms (e.g., problems with irritability, memory, headaches, feeling dizzy) within the last 30 days. The clinician also documents any suspected/ probable symptoms of psychiatric conditions. At the conclu- sion of the CTBIE, the clinician confirms or rules out a TBI diagnosis and makes appropriate recommendations for follow-up care (Fig. 1).
To the extent the authors were able to ascertain, this study is the first national assessment designed to understand the demographics and utilization of VHA services by the AC and RC, with special attention to gender. The study provides a glimpse at the TBI screening and evaluation processes for RCs in general and female Veterans in particular in relation to utilization and costs incurred by the VHA in providing health care to the population of separated OEF/OIF Veterans. The intent of the study is to use results of the VHA screening and evaluation process to identify VHA utilization for OEF/ OIF Veterans by service branch (
METHODS
Study Population
The population for this study is the cohort that includes indi- viduals screened for TBI in VHA between
Data Sources
This study includes all service members who separated from duty between FY 2003, which marks the 2-year period of eligibility for VHA services since the commencement of OEF in 2001, and FY 2009, the date the study began. In addition, the study includes all VHA patients with a TBI screening captured in the VA National Patient Care Database patient treatment files from FY 2008 through FY 2009. The study identifies patients who completed a CTBIE during FY 2008- FY 2009. Patients' gender, age, marital status, VHA inpatient and outpatient services, and estimates of VHA costs for utilization in FY 2008 came from VHA data files. Estimates of patient costs were obtained from the VA's
Statistical Methods
We first computed descriptive statistics that quantitatively describe and provide simple summaries and information about the data to compare the demographics of the cohort that separated from FY 2003-FY 2009 to the cohort that accessed VHA health care in FY 2008. Utilization and mean costs were compared across services and components for the cohort that was screened for TBI and received the CTBIE. Finally, because our outcome is binary, we generated a probit model, a type of regression where the dependent variable can only take two values (binary), to understand the determinants of utilization and costs of VHA services for the different branches and components for Veterans who are screened for TBI and receive the CTBIE. Analyses were run using SAS software, version 9.1 (
RESULTS
Table I presents the demographic data for all 2,022,717 DoD separations from FY 2003 to FY 2009, by service and com- ponent. Roughly 755,000 or 37% of Veterans who separated or retired from duty during this period had deployed to OEF/ OIF. Approximately 42% (1,103,124) of separated Veterans were from the RC and 18% (409,524) of separated Veterans were female.
The
Exposure to combat would increase the potential for Veterans' eligibility for VHA services because of injury or disability, and OEF/OIF deployment can be considered a proxy for combat exposure. The total number of service per- sonnel deployed, separated, and earning access to VA health care was 754,557 or 37% of the total separated for the period. The
Table I also provides details for each component of the services, the NG and RC. The RC of the
The demographics for the population screened or evalu- ated for TBI when accessing VHA care are presented in Table II. Approximately 330,000 personnel were screened or evaluated for TBI. Army Veterans constituted a higher percentage of people screened and evaluated for TBI (64%) than their percentage representation in the separation demo- graphics (46%). Percentages of Marines screened and evalu- ated were about the same as the percentage for the separated cohort.
Since the RC can be mobilized and then demobilized, a calculation of percentages for those screened and evaluated to separated and deployed is not relevant to the current study since they are probably not a fixed cohort of separations. Air Force RC screened and evaluated are a very small percentage of the total number of Veterans screened and evaluated with the Air Force NG at 1% and RC at 2%; Army NG represent 22% and RC 16%; Marines RC 11% and the Navy RC 6%. It is not clear if the difference between RC and AC reflects a difference in the role that the RC have in combat or the possibility that the RC access health care service outside of the VHA and thus are not as likely to be subjected to the automatic screen.22
The mean age of Veterans who were screened and evaluated for TBI at the VHA differs by service and component. The youngest cohort is the Marine RC at 26.5 years. In addition, the Marine RC average age was less than that of the Active Marine component (31.8 years). The Navy RC average age was also less than the Navy Regular component. However, the
Table III presents the utilization rates for inpatient care, outpatient care, and average costs incurred by Veterans at VHA for FY 2008. The data indicate that a significant percent- age of Veterans who were screened and evaluated for TBI utilized VHA services. However, Veterans from the
Table IV presents results from a probit regression in terms of percentages by determinants of costs incurred at VHA by four categories: overall costs that include any and every cost incurred by Veterans at VHA (i.e., inpatient, outpatient, phar- macy costs); outpatient costs for all outpatient clinic visits, including laboratory tests, etc; costs for acute (medical or surgical) inpatient care in a VHA hospital; and nonacute costs that include nursing home costs, rehabilitation care, and inpa- tient stays for psychiatric or substance use disorders. Females incurred higher overall and outpatient costs with respect to the male reference group and lower acute and nonacute inpatient costs, potentially indicating different patterns of VHA services utilization between the females and males. Costs incurred by Veterans older than 37 are higher in every category than all other age groups and the reference group. Officers had sub- stantially higher costs than enlisted personnel in the nonacute inpatient category, and lower costs in all other categories.
An examination of service components indicated higher costs incurred by the reference group, Army AC, compared to all other service groups. For overall and outpatient costs incurred, Marine AC was the only component with a positive and significant coefficient, indicating higher costs. The Army NG had a positive but nonsignificant coefficient, indicating no difference in costs with the Army AC, and the remaining components had significant negative coefficients, indicating lower costs compared to the Army AC. In the costs incurred for acute inpatient care, none of the components had a signif- icant coefficient, and all coefficients were negative except for Army NG and Navy Active. For nonacute inpatient costs, all coefficients were significant, but only the Marine AC coeffi- cient was positive.
Table V presents a probit regression analysis in term of percentages of demographic and component determinants of VHA utilization (either inpatient or outpatient) by Veterans screened for TBI and who completed a CTBIE in FY 2008. The data are presented in terms of coefficients that quantify how strong the association is with the reference group listed before each set of data.
The number of Veterans utilizing VHA after being screened or evaluated is 113,907 in FY 2008. The coefficient for females utilizing the VHA compared to males is significant and positive, indicating higher utilization by females. Females are 14% more likely than males to utilize VHA if they are screened and evaluated for TBI, controlling for age and other characteristics. Utilization of VHA services was higher as the age of the Veteran increased. Veterans less than 25 years old had less utilization than the reference group (26 to 30 years old). Veterans between the ages of 31 to36 and older than 37 had higher utilization than the reference group. Officers, com- pared to the enlisted as a control group, had lower utilization of VHA than the enlisted (reference group).
DISCUSSION
Of over 2 million service personnel who separated from DoD between FY 2003 and FY 2009, 37% were deployed in sup- port of OEF/OIF who were likely eligible for accessing VHA services after separation. A consistent picture emerged regarding the AC and RC for the
RC had higher utilization of VHA services than AC, but incurred lower mean costs and lower determinants of cost. A possible explanation for the seeming contradiction may be that Reservists have ongoing concerns about being granted continued access to VHA services. Utilizing VHA and estab- lishing a record of utilization may be a means of ensuring future access to VHA. In addition, the RC may be accessing VHA services before transitioning back to their civilian jobs where they may receive services from private insurance car- riers. The final group with high utilization of services and costs across all categories was Veterans older than 37 years. Interestingly, the average age for the RC tended to be higher than that of the AC for each service. Elevated utilization and costs may reflect health issues of aging Veterans and their increased need for health care.
We find that following a CTBIE, being a female OEF/OIF Veteran was strongly associated with increased utilization of VHA services. These gender differences are consistent with patterns of VHA services use that have been documented among the general VHA patient population.10,29 In contrast to males who incurred higher inpatient costs, female Veterans incurred higher overall and outpatient VHA costs. This may be the result of females utilizing VHA for different services than their male counterparts. For example, female VHA patients have been shown to use more primary and mental health care services than male VHA patient.10,29 Similarly, service utilization may be higher because females may present to CTBIE with more complex clinical profiles than males. Research indicates that females with confirmed TBI are more likely to have comorbid mental health diagnoses (e.g., PTSD with depression) as well as more neurobehav- ioral symptoms than their male counterparts,21 which may impact the types and amounts of services received subse- quent to a CTBIE. Regardless of the exact reasons, there is a clear indication that there are gender differences in the types and amount of services used.20 This is an important area for more nuanced inquiry in future research efforts.
This study had several strengths, especially because its population included all service members from all military services and components who separated from DoD, thus pro- viding a complete summary of potential differences in TBI health care needs related to military duties. In addition, it allowed us to capture differences in demographics and prob- able combat exposure. The participants in the study provided a good overview of DoD separations and of Veterans accessing VHA at a critical time when the pace for military operations has increased rapidly.27 This allows for general- izations across both DoD and VHA to enable estimates of costs and health care needs for future operations and genera- tions of Veterans. The study focus on OEF/OIF comes at a time following DoD policy changes in deployment and increased utilization of the RC and females, and may facilitate planning for Veteran care across the two institutions charged with their care. Finally, comparison between this study and prior work is difficult because of the differences in methodol- ogy since the units of analysis for this study do not depend on a survey or questionnaire where response, completion, recall errors, information biases, and follow-up rates are issues.28,29
The study was limited in that the separation data for the RC is only a single time point of assessment, and additional reactivation and deployments cannot be determined.30,31 An additional limitation is the absence of a measure of symptom incidence and severity. Thus, we are not able to comment on particular symptom and health profiles of Veterans, and the extent to which utilization is associated with diagnoses. There is ongoing discussion about, in the absence of medical documentation, the extent to which the VA TBI screening and evaluation processes can accurately diagnose a TBI- related event that happened months to years before evalua- tion, and the degree to which TBI symptoms persist over time. This debate goes beyond the scope of this article. Lastly, since the RC may have access to health care options other than VHA, there may be other factors that determine their selection of VHA services.
Data used in this study does not allow an assessment of combat exposure and intensity. It is important that future research incorporate information about deployment locations and occupation and assignment information to understand geographical and occupational factors that affect cost and utilization patterns of health care. This is particularly true for understanding changes in women's health needs and health care utilization following changes in policy that now allow women to serve in combat roles. In addition, the poten- tial for multiple deployments for the RC raise important questions about cumulative effects of repeated and prolonged deployments on demand for health care. This research could have significant implications for policymakers and clinicians as they seek to formulate and refine policies and health care for RC given their increasing numbers and expanded role in supporting military operations. In addition, the study does not account for terms of service to provide a level of granularity to fully access the implications to the VHA. Finally, differ- ences in health care needs between service components and genders highlight the importance of targeting subgroups of Veterans to improve health care interventions and create opportunities for directed incremental health reform.
ACKNOWLEDGMENTS
This article is based on work supported by the
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§29 Pond Street,
The opinions expressed in this article are the authors' and do not reflect those of the
doi: 10.7205/MILMED-D-13-00559
Copyright: | (c) 2014 Association of Military Surgeons of the United States |
Wordcount: | 5626 |
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