A Systems Science Approach to Understanding Polytrauma and Blast-Related Injury: Bayesian Network Model of Data From a Survey of the Florida National Guard.

We sought to further define the epidemiology of the complex, multiple injuries collectively known as polytrauma/blast-related injury (PT/BRI). Using a systems science approach, we performed Bayesian network modeling to find the most accurate representation of the complex system of PT/BRI and identify key variables for understanding the subsequent effects of blast exposure in a sample of Florida National Guard members (1,443 deployed to Operation Enduring Freedom/Operation Iraqi Freedom and 1,655 not deployed) who completed an online survey during the period from 2009 to 2010. We found that postdeployment symptoms reported as present at the time of the survey were largely independent of deployment per se. Blast exposure, not mild traumatic brain injury (TBI), acted as the primary military deployment-related driver of PT/BRI symptoms. Blast exposure was indirectly linked to mild TBI via other deployment-related traumas and was a significant risk for a high level of posttraumatic stress disorder (PTSD) arousal symptoms. PTSD arousal symptoms and tinnitus were directly dependent upon blast exposure, with both acting as bridge symptoms to other postdeployment mental health and physical symptoms, respectively. Neurobehavioral or postconcussion-like symptoms had no significant dependence relationship with mild TBI, but they were synergistic with blast exposure in influencing PTSD arousal symptoms. A replication of this analysis using a larger PT/BRI database is warranted.

Health outcomes associated with military deployment: mild traumatic brain injury, blast, trauma, and combat associations in the Florida National Guard.

OBJECTIVES: To determine the association between specific military deployment experiences and immediate and longer-term physical and mental health effects, as well as examine the effects of multiple deployment-related traumatic brain injuries (TBIs) on health outcomes. DESIGN: Online survey of cross-sectional cohort. Odds ratios were calculated to assess the association between deployment-related factors (ie, physical injuries, exposure to potentially traumatic deployment experiences, combat, blast exposure, and mild TBI) and current health status, controlling for potential confounders, demographics, and predeployment experiences. SETTING: Nonclinical. PARTICIPANTS: Members (N=3098) of the Florida National Guard (1443 deployed, 1655 not deployed). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Presence of current psychiatric diagnoses and health outcomes, including postconcussive and non-postconcussive symptoms. RESULTS: Surveys were completed an average of 31.8 months (SD=24.4, range=0-95) after deployment. Strong, statistically significant associations were found between self-reported military deployment-related factors and current adverse health status. Deployment-related mild TBI was associated with depression, anxiety, posttraumatic stress disorder (PTSD), and postconcussive symptoms collectively and individually. Statistically significant increases in the frequency of depression, anxiety, PTSD, and a postconcussive symptom complex were seen comparing single to multiple TBIs. However, a predeployment TBI did not increase the likelihood of sustaining another TBI in a blast exposure. Associations between blast exposure and abdominal pain, pain on deep breathing, shortness of breath, hearing loss, and tinnitus suggested residual barotrauma. Combat exposures with and without physical injury were each associated not only with PTSD but also with numerous postconcussive and non-postconcussive symptoms. The experience of seeing others wounded or killed or experiencing the death of a buddy or leader was associated with indigestion and headaches but not with depression, anxiety, or PTSD. CONCLUSIONS: Complex relationships exist between multiple deployment-related factors and numerous overlapping and co-occurring current adverse physical and psychological health outcomes. Various deployment-related experiences increased the risk for postdeployment adverse mental and physical health outcomes, individually and in combination. These findings suggest that an integrated physical and mental health care approach would be beneficial to postdeployment care.

Acquisition costs and use of Medicare Part D-excluded drugs in Veterans Health Administration long-stay nursing home residents: a national, descriptive, secondary data analysis.

BACKGROUND: Nursing home populations may consist of both short- and long-stay residents, who have different resource use profiles. Differentiating between these two populations is important in any analysis of drug costs and use. OBJECTIVE: The aim of this analysis was to provide national annualized estimates of drug acquisition costs and use of drugs excluded under Medicare Part D for dually eligible long-stay nursing home residents in the US. METHODS: This was a national, descriptive, secondary data analysis. The study population consisted of 6554 Veterans Health Administration (VHA) long-stay nursing home residents (n=136 nursing homes), identified from the Minimum Data Set (MDS), who had an annual assessment during fiscal year (FY) 2005 linked with their 8,847,561 inpatient pharmacy claims. The study data generated were descriptive statistics of the annual drug acquisition costs and use of medications excluded under Medicare Part D. VHA therapeutic drug classes were obtained from FY 2005 national pharmacy claims linked at the individual resident level. RESULTS: The excluded drugs accounted for 3 036 306 of the more than 8.8 million inpatient pharmacy claims, totalling $US3,406,756 or $US526 per resident (99% CI 490, 562). Non-opioid analgesics were received by 73.3% of the residents, totalling $US352,608 or $US73 per resident; 25.3% received antitussives, decongestants, or cold and cough medications, totalling $US27,220 or $US16 per resident; 63.8% received vitamins, totalling $US281,909 or $US67 per resident; 17.7% received benzodiazepines or sedative hypnotics, totalling $US76,083 or $US66 per resident; and 64.3% received laxatives or stool softeners, totalling $US298,326 or $US71 per resident. The total acquisition cost of all drugs was $US23,782,717 for 6554 VHA nursing home residents or $US3629 per resident (99% CI 3343, 3915). CONCLUSION: The cost of Medicare Part D-excluded drugs represented a fraction of the total VHA drug costs for long-stay nursing home residents, accounting for only 14.3% of all drug costs and 34.3% of the more than 8.8 million inpatient pharmacy claims. More research is needed to account for the drug dispensing and administration costs associated with these excluded classes of drugs and their efficacy. Studies of VHA drug acquisition costs provide important policy-relevant data for the Medicare Part D national price negotiation debate, particularly in a US presidential election year.

A multivariate fall risk assessment model for VHA nursing homes using the minimum data set.

OBJECTIVES: The purpose of this study was to develop a multivariate fall risk assessment model beyond the current fall Resident Assessment Protocol (RAP) triggers for nursing home residents using the Minimum Data Set (MDS). DESIGN: Retrospective, clustered secondary data analysis. SETTING: National Veterans Health Administration (VHA) long-term care nursing homes (N = 136). PARTICIPANTS: The study population consisted of 6577 national VHA nursing home residents who had an annual assessment during FY 2005, identified from the MDS, as well as an earlier annual or admission assessment within a 1-year look-back period. MEASUREMENT: A dichotomous multivariate model of nursing home residents coded with a fall on selected fall risk characteristics from the MDS, estimated with general estimation equations (GEE). RESULTS: There were 17 170 assessments corresponding to 6577 long-term care nursing home residents. The increased odds ratio (OR) of being classified as a faller relative to the omitted "dependent" category of activities of daily living (ADL) ranged from OR = 1.35 for "limited" ADL category up to OR = 1.57 for "extensive-2" ADL (P < .0001). Unsteady gait more than doubles the odds of being a faller (OR = 2.63, P < .0001). The use of assistive devices such as canes, walkers, or crutches, or the use of wheelchairs increases the odds of being a faller (OR = 1.17, P < .0005) or (OR = 1.19, P < .0002), respectively. Foot problems may also increase the odds of being a faller (OR = 1.26, P < .0016). Alzheimer's or other dementias also increase the odds of being classified as a faller (OR = 1.18, P < .0219) or (OR=1.22, P < .0001), respectively. In addition, anger (OR = 1.19, P < .0065); wandering (OR = 1.53, P < .0001); or use of antipsychotic medications (OR = 1.15, P < .0039), antianxiety medications (OR = 1.13, P < .0323), or antidepressant medications (OR = 1.39, P < .0001) was also associated with the odds of being a faller. CONCLUSIONS: This national study in one of the largest managed healthcare systems in the United States has empirically confirmed the relative importance of certain risk factors for falls in long-term care settings. The model incorporated an ADL index and adjusted for case mix by including only long-term care nursing home residents. The study offers clinicians practical estimates by combining multiple univariate MDS elements in an empirically based, multivariate fall risk assessment model.

The Veterans Health Administration's traumatic brain injury clinical reminder screen and evaluation: Practice patterns.

The goals of this study were to describe clinical practice patterns associated with the Veterans Health Administration's (VHA's) Comprehensive Traumatic Brain Injury Evaluation (CTBIE) and determine whether practice patterns vary by patient, provider, or facility characteristics. Veterans (N = 614) who had initial healthcare visits between 2008, and 2011 and who had previously completed the VHA's traumatic brain injury (TBI) screen and subsequent CTBIE were drawn from a national database. Participants were primarily male (95%) with a mean age of 29.8 yr (standard deviation = 8). Chart reviews were conducted on a random sample of charts with completed CTBIEs from 21 sites. Using a cross-sectional design, patient- and facility-specific variables were investigated as potential predictors of practice variation. During the study period, 79% of patients in this national sample were screened within 1 d of their initial healthcare visit and 65% were evaluated via CTBIE within 30 d of screening. Provider and participant characteristics were generally not associated with timeliness. The CTBIE was completed by individuals versus teams at comparable rates. Much of what occurred during the evaluation, beyond TBI-specific procedures, were medical assessments, such as review of medications and other substances.

Drug costs and use in VHA nursing homes: a national overview of long-stay residents.

OBJECTIVES: The aim of this study was to provide national annualized estimates of drug costs and use by drug classes for long-stay nursing home (NH) residents. DESIGN: National, descriptive, secondary data analysis. SETTING: National, Veterans Health Administration (VHA), 136 NHs. PARTICIPANTS: Our study population consisted of 6554 VHA long-stay NH residents, identified from the Minimum Data Set (MDS), who had an annual assessment during FY 2005 linked with 8,847,561 inpatient pharmacy claims. MEASUREMENT: Descriptive statistics of the annual drug costs and use by VHA therapeutic drug classes obtained from FY 2005 national pharmacy claims linked at the individual resident level. RESULTS: The total cost of the drugs was $23,782,717 in 326 drug classes for 6554 VHA NH residents. Average annual drug cost was $3629 per resident (99% Confidence Interval [CI], $3343-$3915). The top 20 drug classes accounted for nearly 70% of total drug costs for long-stay NH residents. Approximately three quarters (73.3%) of these residents received a non-opioid analgesic (eg, acetaminophen, aspirin). Over half of these residents received antidepressants (selective serotonin reuptake inhibitors [SSRIs]) (54.3%), or other anti-infective drugs (eg, bacitracin, ciprofloxacin) (53.3%). CONCLUSIONS: This is the first national study of drug costs and use for long-stay veterans in VHA NHs. It is essential in any study analyzing drug costs and use in NH patients to differentiate long-stay residents from short-stay patients. This kind of detailed cost and use analysis has implications for projecting future costs associated with the Medicare Part D prescription benefit for dually eligible NH residents.

Veterans' fall risk profile: a prevalence study.

The Veterans Health Administration (VHA) serves the health care needs of an adult, predominantly male, and aging population. The aging profile of VHA patients is 25% greater than the civilian sector (DVA 2001). Aged patients are at higher risk for falls. In February 2002, 6 VHA medical centers profiled their inpatients' fall risk profile as one aspect of program initiatives targeted at reducing veterans' fall risk and fall-related injuries, participating in a one-day collection of fall risk measurement using the Morse Fall Scale (MFS) for all inpatients (n = 1819), acute and long-term care units. Data results are reported for age, MFS score, and the relationship between age and score, and by type of ward/unit, ie, predominately acute and critical care or long-term care. The results of this prevalence study documented that the veteran inpatient population are at high-risk for anticipated physiological falls. This Veteran Integrated Services Network-wide Deployment of an Evidence-based Program to Prevent Patient Falls study was completed as part of a nationally funded clinical initiative, National Program Initiative 20-006-1.