Mortality and Associated Risk Factors in Community-Dwelling Persons With Early Dementia.

OBJECTIVE: Examine mortality and associations with baseline characteristics among Veterans with early dementia. METHODS: Participants included dyads of community-based Veterans with early dementia and their caregivers (N=143) enrolled in a previous longitudinal study. Department of Veterans Health Affairs' electronic records were used to retrospectively collect Veteran mortality outcomes, over a 6-year period. Measures included baseline: demographics, dementia-related factors, other comorbid conditions, functioning, and medication use. Associations with baseline characteristics and mortality were examined with bivariate analyses and a series of Cox proportional hazard models. RESULTS: Over 6 years of study follow-up, 53.1% of participants died. The mean time to death was 3.09 years, with a range of 54 days to 5.91 years. Female sex, better cognition, and higher scores on the Tinetti Gait and Balance scale were protective factors in the final multivariable model, adjusting for other characteristics. CONCLUSIONS: While newly diagnosed with early dementia, over half of our sample died in the 6-year follow-up period, with the average death occurring only 3 years after initial diagnosis. The finding of lower mortality associated with better performance on gait/balance testing indicates an important opportunity for focused interventions and early detection of gait and balance changes early during cognitive decline.

Recommendations for Fall-Related Injury Prevention: A 1-Year Review of Fall-Related Root Cause Analyses in the Veterans Health Administration.

BACKGROUND: Injurious falls continue to challenge health care. Causes of serious falls from the largest health care system in the United States can direct future prevention efforts. PURPOSE: This article analyzes injurious falls in the Veterans Health Administration and provides generalizable recommended actions to prevent future events. METHODS: We categorized root cause analysis (RCA) reports and coded injury type, fall type, location, and root causes. We describe interventions during the fall and provide resources for future prevention. RESULTS: There were 154 reported fall RCAs during this time. Most (83%, n = 128) resulted in major injury: hip fractures (43%, n = 66), other fractures (25%, n = 38), and head injury (16%, n = 24). Most falls were unwitnessed (75%, n = 116). CONCLUSIONS: Patients who fell were not wearing hip or head protection. Most falls were unwitnessed, and none were on 1:1 observation. Such interventions may help prevent future injurious falls.

Reducing Falls and Fall-Related Injuries in Medical-Surgical Units: One-Year Multihospital Falls Collaborative.

On the basis of fall injury program characteristics across multiple inpatient medical-surgical units from 6 medical centers, we developed and implemented an operational strategic plan to address fall and injury prevention program attributes and enhance program infrastructure and capacity. Expert faculty provided lectures and served as coaches and mentors through triweekly conference calls and collaborative e-mail exchange. Statistically significant findings support improved fall and injury prevention program components and processes at the organizational and unit levels.

Reducing falls and fall-related injuries in mental health: a 1-year multihospital falls collaborative.

Despite much research on falls occurring on medical-surgical units and in long-term care settings, falls on inpatient psychiatry units are understudied. On the basis of fall injury program characteristics across multiple inpatient psychiatry units, we developed and implemented an operational strategic plan to address each falls prevention program element and enhance program infrastructure and capacity. Expert faculty provided lectures, coaching, and mentoring through biweekly conference calls and collaborative e-mail exchange. Findings support continued efforts to integrate measures to reduce serious fall-related injuries.

Staff Low Back Injury Risk During Assisted Falls Virtual Reality Simulations.

BACKGROUND: Assisted falls occur when staff try to minimize the impact of falls by slowing a patient's descent. Assisting a patient fall may decrease patient injury risk, but biomechanical risk of injury to staff has not been evaluated. Assisted falls virtual reality (VR) simulations were conducted to examine staff low back injury risk during common assisted falls scenarios. METHODS: VR simulations of a toilet to wheelchair transfer were developed with a male patient avatar for three assisted falls scenarios: standing up from toilet, sitting down on wheelchair, and ambulation. Patient avatar weight was modified to reflect normal, underweight, and overweight adult patients. The average spinal compression force at L5/S1 was calculated for each participant with five trials per three scenarios while utilizing physical ergonomic techniques and compared to the safe spinal compression limit of 3,400 Newtons (N). FINDINGS: Six staff participants completed 90 VR simulations in total. The average calculated spinal compression force ranged from 7,132 N to 27,901 N. All participant trials exceeded the safe spinal compression limit of 3,400 N for every assisted falls scenario and avatar weight despite application of ergonomic techniques including wide stance, knees bent, and backs straight. CONCLUSIONS/APPLICATION TO PRACTICE: Staff are at risk for low back injury if they assist falls regardless of the adult patient weight and application of ergonomic techniques. Safer alternatives like the implementation of mobility screening tools and safe patient handling and mobility technology are needed to help prevent assisted falls to decrease injury risk to both patients and staff.

Original Research: What Health Care Staff Who Experienced Assisted Patient Falls Can Teach Us: Implications for Fall and Fall Injury Risk.

PURPOSE: This quality improvement project had three aims: to identify common assisted falls scenarios, describe staff members' experiences with and risk perceptions of such falls, and explore factors that influenced their perceptions. The overarching goal was to gain useful insight for the development of assisted fall-related strategies and policies. METHODS: In the fall of 2020, 16 staff members from 13 health care facilities were purposively recruited and interviewed. Transcript summaries of these interviews, along with secondary narrative data from employee and patient injury databases, were analyzed using thematic content analysis. RESULTS: According to staff members' accounts, assisted falls most commonly took place in patient rooms or bathrooms when patients were ambulating or transferring. The interviewees described assisting falls by grabbing or holding the patient or by using their own body to brace or steady the patient. Interview and secondary narrative data noted various injuries that occurred during assisted fall events. These injuries most often involved the lower back (among staff) and the legs (among patients). Most interviewees perceived that using proper body mechanics would prevent injury. CONCLUSIONS: Interviewees' experiences with assisted falls indicate areas of improvement for fall prevention. The perception that using proper body mechanics will protect staff from injury may be a misconception. Although the literature reports mixed findings concerning whether staff should assist patient falls, this project's results led us to conclude that there is no safe way to physically assist a falling patient without risk of staff injury.

Preventing Falls and Fall-Related Injuries at Home: Teaching family caregivers about home modification and what to do if a fall occurs.

This article is part of a series, Supporting Family Caregivers: No Longer Home Alone, published in collaboration with the AARP Public Policy Institute. Results of focus groups, conducted as part of the AARP Public Policy Institute's No Longer Home Alone video project, supported evidence that family caregivers aren't given the information they need to manage the complex care regimens of family members. This series of articles and accompanying videos aims to help nurses provide caregivers with the tools they need to manage their family member's health care at home. The articles in this new installment of the series explain principles for promoting safe mobility that nurses should reinforce with family caregivers. Each article also includes an informational tear sheet-Information for Family Caregivers-that contains links to instructional videos. To use this series, nurses should read the article first, so they understand how best to help family caregivers, and then encourage the caregivers to watch the videos and ask questions. For additional information, see Resources for Nurses.

Evaluation of Protective Properties of Commercially Available Medical Helmets: Are Medical Helmets Protective?

OBJECTIVES: The aims of the study were to evaluate and to compare protective properties of commercially available medical helmets for a set of standardized head injury risk measures. METHODS: Eleven helmet types were evaluated to represent the variety of commercially available medical helmet designs and manufacturers. A test mannequin and sensor apparatus were used to simulate a backward-standing fall. The head/neck size, mass, and "standing" height of the mannequin (5'9″) were representative of a 50th percentile male. A triaxial array was placed at the head center of mass to position 3 linear accelerometers and 3 angular rate sensors. Data were collected for 5 single trials for each helmet, as well as 5 repeated trials. Five trials were also collected with no helmet scenarios. Three head injury risk measures were examined (linear acceleration, angular acceleration, and head injury criterion). Data were analyzed by clinical cutoff thresholds and continuous values. RESULTS: Helmets varied in their performance across head injury risk measures. All helmets provided higher levels of protection compared with no helmet scenarios. No helmets were protective for subdural hematoma (measured by angular acceleration). All helmets lost protective properties with repeated falls. Results for skull fracture risk were inconsistent between linear acceleration and head injury criterion injury risk measures. CONCLUSIONS: No helmets were protective across all head injury risk measures. Medical helmets may reduce some fall injury severity but may not prevent all types of head injury. All helmets exhibited worsening of protective properties with repeated falls. We recommend medical helmets be replaced after each fall incident where the helmet impacts another surface.

Evaluation of a new assistive technology: the StandBar.

PURPOSE: Evaluate the potential of a wheelchair assistive technology (StandBar) to promote power wheelchair users' ability to safely stand independently from their power wheelchair and determine the impact of the device use on psychological well-being for both power wheelchair users and their caregivers. MATERIALS AND METHODS: A convenience sample of 11 power wheelchair users and caregiver dyads provided study data. Participants included power wheelchair users who were existing StandBar users or currently in training with the StandBar as part of their rehabilitation. Assessments were conducted at baseline and at six-month follow-up and included physiological assessments and functional testing with and without the StandBar. Monthly follow-up phone calls were completed to collect information on adverse events (e.g., falls, hospitalizations, and skin breakdown). A qualitative interview assessed StandBar users' and caregivers' perception at six-month follow-up. RESULTS AND CONCLUSIONS: StandBar use provided power wheelchair users a higher level of independence, confidence, and safety. All participants highly recommended StandBar use to others with similar levels of functional impairment. StandBar use allowed many participants the ability to complete functional tasks that were otherwise not possible without assistance. Qualitative interviews reported improved independence and psychological well-being for StandBar users as well as reduced levels of anxiety and burden of care by caregivers. The StandBar is a cost-effective assistive technology that promotes independence and functionality for power wheelchair users and improves the psychological well-being of users and their caregivers. Implications for RehabilitationStandBar allows power wheelchair users to:Minimize negative effects of immobilization.Increase independence for activities of daily living (grooming, hygiene, toileting, transfers) and instrumental activities of daily living (social experiences).Improve their quality of life through increasing independence and confidence.Reduce need for assistance and corresponding caregiver burden.

Using a Post Fall Assessment Simulation to Examine Nurse Thought Processes.

The prevalence of injurious falls is high in the Veterans Health Administration (VHA) and a major patient safety issue. The VHA is embracing technology such as simulation to improve patient care. Little is known regarding nurse thought processes while undergoing a post fall assessment simulation in the VHA. This article examines the benefit of using an evidence-based post fall simulation to improve nurse assessment skills while providing opportunity for practice without harm to patients.

Falls in Veterans Healthcare Administration Hospitals: Prevalence and Trends.

INTRODUCTION: To provide up-to-date data on fall prevalence and trends in Veterans Health Administration (VHA) hospitals. METHODS: Data were collected by the VHA Inpatient Evaluation Center (IPEC) between 2011 and 2017, to establish prevalence and trends of falls and major injuries occurring in acute care/intensive care units (AC/ICU), behavior health (BH), and community living center (CLC)/long-term care, using bed days of care (BDOC) as denominators. RESULTS: A total of 204,681 falls were reported (rate = 4.8 falls/1,000 BDOC) during the study period, of which 2,549 (1.2%) resulted in a major injury (rate = 6.0/100,000 BDOC). Fall rates decreased over the 6-year study period for all unit types: 10% decrease for BH (p < .0001), 9% decrease for AC/ICU (p < .0001), and 3% decrease for CLC (p = .0043). Major injury rates remained consistent. CONCLUSIONS: In this large descriptive study, fall and major injury rates varied by nursing unit type in VHA hospitals. Over the 6-year study period, a clinically and statistically significant decrease in fall rates for BH and AC/ICU units was observed as well as a small but statistically significant decrease in fall rates for CLC units. No trend was observed for major injury rates.

Preventing Falls and Fall-Related Injuries at Home.

: This article is part of a series, Supporting Family Caregivers: No Longer Home Alone, published in collaboration with the AARP Public Policy Institute. Results of focus groups, conducted as part of the AARP Public Policy Institute's No Longer Home Alone video project, supported evidence that family caregivers aren't given the information they need to manage the complex care regimens of family members. This series of articles and accompanying videos aims to help nurses provide caregivers with the tools they need to manage their family member's health care at home.The articles in this new installment of the series explain principles for promoting safe mobility that nurses should reinforce with family caregivers. Each article also includes an informational tear sheet-Information for Family Caregivers-that contains links to instructional videos. To use this series, nurses should read the article first, so they understand how best to help family caregivers, and then encourage the caregivers to watch the videos and ask questions. For additional information, see Resources for Nurses.

Factors Associated With Wandering Behaviors in Veterans With Mild Dementia: A Prospective Longitudinal Community-Based Study.

OBJECTIVE: To investigate baseline factors associated with caregiver-reported wandering among community-dwelling veterans with mild dementia. METHODS: Veterans with mild dementia (N = 143) and their caregivers participated in a 2-year prospective longitudinal study. Measures assessed wandering, daily function, behavior, cognition, and personality features. Wandering was dichotomized as present or absent across study periods, and associations with baseline characteristics were examined. RESULTS: One-quarter of participants demonstrated caregiver-reported wandering at 1 or more study visits, with 14% to 15% wandering at any 1 visit. Wandering was associated with significantly lower baseline scores in performance of daily function, behavioral response to stress, gait, and balance, and conscientiousness. CONCLUSIONS: This novel study evaluated wandering in a community-dwelling sample of veterans with mild dementia. Wandering was associated with a specific personality trait, poorer behavioral response to stress as well as greater functional and gait/balance impairment. These findings may assist in developing community-based interventions for caregivers.

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.

Strategies to reduce risk of fall-related injuries in rehabilitation nursing.

Rehabilitation nurses are in a critical position to lead interdisciplinary team fall prevention management, including injury risk reduction. This article provides an update for rehabilitation nurses on evidence-based strategies to reduce patients'risk of fall-related injuries. This content builds on existing literature by focusing on knowledge to promote patient responses that reduce the risk of falls and ultimately fall-related injuries. Although rehabilitation nurses understand the complex nature of falls, addressing the intrinsic and extrinsic risk factors that increase the risk of fall-related injuries requires both individually based treatment programs and a system-wide commitment. A plethora of literature discusses fall risks and falls, but this article profiles the at-risk patient and describes current and emerging evidence-based interventions to protect patients from fall-related injuries by reducing risk factors. This discussion is limited to exercise, environmental redesign, osteoporosis prevention, and hip protectors.

A Retrospective Review of Adverse Events Related to Diabetic Foot Ulcers.

The risk of adverse events (AEs) such as infection and amputation related to diabetic foot ulcers (DFUs) has been studied, but less is known about rate of other AEs such as falls. As part of a quality improvement project, AEs in veterans with diabetes mellitus (DM) with and without a DFU were examined. Demographic data including ICD-9 codes, AEs, and comorbidities for all patients with a diagnosis of DM and/or DFU treated between 2009 and 2014 at the James A. Haley Veterans' Hospital, Tampa, FL, were reviewed retrospectively utilizing the Corporate Data Warehouse (CDW) database. Identifiable protected health information data using patient scrambled social security numbers were collected from the CDW to allow the longitudinal data to be linked at the unique patient level. Descriptive statistics (eg, mean, standard deviation) were determined for demographics, AE, and comorbidities. Adjusted models of AE association with DM and DFU were analyzed using regression modeling via a statistical analysis system. The models were adjusted for age, race, gender, marital status, and comorbidities. Data extracted included individuals diagnosed with diabetes with a DFU (n = 3238, average age 66.0 ± 10.6 years) and diabetes without DFU (n= 41 324, average age 64.4 ± 11.5 years). Participants were mostly Caucasian in both the DFU and non-DFU cohorts (2655 [82.0%] and 32 269 [78.1%], respectively) and male (3129 [96.6%] and 39 580 [95.8%], respectively). The most common comorbidities in this population were peripheral vascular disease (PVD, 39.5%) and peripheral neuropathy (PN, 23.2%). PVD was more common in veterans with (39.5%) than without a DFU (9.2%). Compared to individuals with DM, those with DM and DFU were significantly more likely to experience an infection (OR = 9.43; 95% CI 8.54-10.4), undergo an amputation (OR = 7.40; 95% CI 6.16-8.89), or experience a fracture (OR = 3.65; 95% CI 2.59-5.15) or fall (OR = 2.26; 95% CI 1.96-2.60) (P <.01 for all variables). Although the increased risk of infection and amputation among persons with DFUs has been documented, less is known about the rate of falls and fractures. The current findings will serve as baseline data for future implementation trials to reduce DFU-associated AEs, and clinicians may want to consider expanding DFU patient education efforts to include fall risk.

Drugs and falls in community-dwelling older people: a national veterans study.

OBJECTIVE: The aim of this study was to identify which specific medications within recognized major problematic drug categories that increase risk of falling were prescribed to veterans before their out-patient treatment for a fall. METHODS: This was a retrospective, cross-sectional national secondary outpatient data analysis with an age- and sex-matched comparison group. The setting was the national Veterans Health Administration (VHA) ambulatory health care system in fiscal year (FY) 2004. The study population was VHA patients aged>or=65 years who had fall-related outpatient clinical health care encounters in FY 2004 (as indicated by diagnostic codes) and who received >or=1 outpatient medication during the study period. The age- and sex-matched comparison group consisted of an equal number of patients with nonspecific chest pain. The percentage of patients in each group receiving medications (at the time of the outpatient encounter) that affect the cardiovascular system (CVS), central nervous system (CNS), or musculoskeletal system (MSS) was compared with Bonferrom-adjusted P values. RESULTS: The study sample consisted of 20,551 patients; the comparison group included the same number of patients. More patients with fall-coded encounters used CNS drugs than those with nonspecific chest pain (42.05% vs 29.29%). Also, within the CNS category, more patients with fall-coded encounters used antiparkinsonian medications (3.67% vs 1.32%), Alzheimer's disease medications (ie, cholinesterase inhibitors [5.40% vs 2.35%]), anticonvulsants/barbiturates (8.95% vs 5.18%), antidepressants (22.50% vs 14.16%), antipsychotics (4.68% vs 2.01%), opioid analgesics and narcotics (11.21% vs 9.09%), and benzodiazepines (7.60% vs 5.96%) (all, P<0.002). More patients with nonspecific chest pain received CVS drugs compared with the fall-coded group (69.13% vs 63.07%; P<0.002). Within the CVS category, more patients in the nonspecific chest pain group received angiotensin-II receptor antagonists, angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, vasodilators, diuretics, and antiarrhythmics (all, P<0.002). No differences were noted between groups in the MSS category, except for NSAIDs, which more patients in the nonspecific chest pain group used than in the fall-coded group (6.44% vs 5.63%; P<0.002). CONCLUSION: In this study, subjects with a health care encounter for a fall (as indicated by diagnostic code) were prescribed significantly more CNS-category medications than subjects in the age- and sex-matched comparison group.

Sociotechnical probabilistic risk modeling to predict injurious falls in community living centers.

The goal of this study was to apply sociotechnical probabilistic risk assessment to prioritize risks and prevention strategies for serious injurious falls of residents in nursing homes. Risk modeling teams consisted of 26 clinical and nonclinical staff from three Department of Veterans Affairs community living centers and one state Veteran's nursing home. Participants met in groups several times to identify and assign probabilities to provider and resident at-risk behaviors and equipment failures. They identified prevention strategies for the failures that accounted for the highest levels of risk. Six scenarios were modeled: (1) transferring from bed to wheelchair, (2) propelling from bedside to bathroom, (3) transferring from wheelchair to toilet, (4) transferring from toilet to wheelchair, (5) propelling from bathroom to bedside, and (6) transferring from wheelchair to bed. The greatest paths of risk were for residents with impaired mobility and high fragility. A 26% reduction in injurious falls could be achieved by (1) reducing the number of unassisted transfers through a modest improvement in response time to alarms, (2) installing automatic brake locks on 90% of wheelchairs, (3) making the wheelchair maintenance process highly reliable, and (4) decreasing improper transfer techniques by 10%.

Field Evaluations of Tracking/Locating Technologies for Prevention of Missing Incidents.

BACKGROUND: Persons with dementia are at risk of a missing incident, which is defined as an instance in which a demented person's whereabouts are unknown to the caregiver and the individual is not in an expected location. Since it is critical to determine the missing person's location as quickly as possible, we evaluated whether commercially available tracking technologies can assist in a rapid recovery. METHODS: This study examined 7 commercially available tracking devices: 3 radio frequency (RF) based and 4 global positioning system (GPS) based, employing realistic tracking scenarios. Outcome measures were time to discovery and degree of deviation from a straight intercept course. RESULTS/CONCLUSION: Across all scenarios tested, GPS devices were found to be approximately twice as efficient as the RF devices in locating a "missing person." While the RF devices showed reasonable performance at close proximity, the GPS devices were found to be more appropriate overall for tracking/locating missing persons over unknown and larger distances.

Effect of concomitant use of benzodiazepines and other drugs on the risk of injury in a veterans population.

BACKGROUND: Benzodiazepines comprise a class of drugs that when used as monotherapy are generally acknowledged to pose a risk for injury by increasing the likelihood of falls, fall-related injuries, adverse drug events and car accidents. Benzodiazepines may also be used concomitantly with other high risk medications that may further exacerbate the risk of injury. The aim of this study is to examine the occurrence of the concomitant use of benzodiazepines and other drugs and then quantify the indirect effect of these drug combinations on the likelihood of an injury-related health care episode. METHODS: A multivariate model was specified that included outpatient prescription data and inpatient/outpatient medical utilisation records for 13,745 patients at a Veterans Administration hospital system over a 3-year period (1999-2001). We analysed 1,33,872 outpatient benzodiazepine prescriptions and >1.5 million non-benzodiazepine prescriptions for the study population. Micromedex software was used to identify combinations of benzodiazepines and other drugs that are likely to result in 'major' interactions. We then further restricted our focus to the use of these drug combinations within a 30-day period prior to an injury-related medical event. The adjusted odds ratio on a variable characterising concomitant use of a benzodiazepine and another drug within this period was used to quantify the relative risk of injury. The principal outcome was the estimated risk of an injury-related health care episode within a 30-day period when taking both a benzodiazepine and another drug with a 'major' severity rating as defined by Micromedex. The risk of injury was adjusted for comorbidities, hospital discharges, marital status, age, mean arterial pressure and body mass index, as well as the dose of benzodiazepine (converted to diazepam equivalents) and duration of benzodiazepine treatment. RESULTS: Of the 1,110 unique individuals who experienced an injury, 790 (71.2%) patients had used a benzodiazepine in combination with another drug. Furthermore, only 4.3% (320/7522) of the patients taking benzodiazepines who did not have concomitant drug use experienced an injury. The occurrence of this concomitant use increased the odds of an injury >2-fold in the model. Dose and duration of benzodiazepine use, as well as certain comorbidities, were also associated with an increased risk for injury, whereas being married reduced the risk. CONCLUSIONS: This is the first large-scale study to quantify the impact of concomitant use of benzodiazepines and other drugs on the risk of injury in a population of Veterans Administration patients. It demonstrates the utility of expanding the focus of inappropriate medication usage to include analyses that link potentially inappropriate drug use with health care utilisation for injuries.