A Case-control Study Examining the Characteristics of Patients who Fall in an Inpatient Traumatic Brain Injury Rehabilitation Setting

Spatial Neglect and Anosognosia After Right Brain Stroke

PURPOSE OF REVIEW

Up to 80% of survivors of right brain stroke leave acute care without being diagnosed with a major invisible disability. Studies indicate that a generic cognitive neurologic evaluation does not reliably detect spatial neglect, nor does it identify unawareness of deficit after right brain stroke; this article reviews the symptoms, clinical presentation, and management of these two cognitive disorders occurring after right brain stroke.

RECENT FINDINGS

Stroke and occupational therapy practice guidelines stress a quality standard for spatial neglect assessment and treatment to reduce adverse outcomes for patients, their families, and society. Neurologists may attribute poor outcomes associated with spatial neglect to stroke severity. However, people with spatial neglect are half as likely to return to home and community, have one-third the community mobility, and require 3 times as much caregiver supervision compared with similar stroke survivors. Multiple randomized trials support a feasible first-line rehabilitation approach for spatial neglect: prism adaptation therapy; more than 20 studies reported that this treatment improves daily life independence. Evidence-based treatment of anosognosia is not as developed; however, treatment for this problem is also available.

SUMMARY

This article guides neurologists' assessment of right brain cognitive disorders and describes how to efficiently assemble and direct a treatment team to address spatial neglect and unawareness of deficit.

Remotely Supervised Home-Based Intensive Exercise Intervention to Improve Balance, Functional Mobility, and Physical Activity in Survivors of Moderate or Severe Traumatic Brain Injury: Protocol for a Mixed Methods Study

Background

Traumatic brain injury (TBI) may impact an individual physically, cognitively, socially, and emotionally. Poor balance, reduced mobility, and low daily physical activity often will require ongoing physical rehabilitation intervention. However, face-to-face specialized physiotherapy is not always accessible for individuals living in rural settings.

Objective

We will answer four questions: (1) What is the feasibility of a remotely supervised, home-based, intensive exercise intervention with survivors of moderate and severe TBI? (2) Does the frequency of remote supervision have an impact on the feasibility of completing a home-based intensive exercise program? (3) Does the frequency of remote supervision impact balance, functional mobility, and physical activity? (4) What is the lived experience of remote supervision for both survivors and caregivers?

Methods

Four participants will complete two intensive, 4-week (five days per week) home-based exercise interventions remotely supervised via synchronous videoconference. Each exercise intervention will have a goal of 160 to 300 repetitions or 60 minutes of tailored exercises to promote neuroplasticity and be defined as an intensive home-based exercise intervention. An alternating single-subject design will allow for the comparison between two frequencies of remote supervision, once weekly and five times weekly. Daily repeated outcome measures, pre- and postintervention outcome measures, and 1-month follow-up outcome measures will be collected to explore the effect on feasibility and physical variables. Daily outcome measures include step count and Five Times Sit-to-Stand test. Pre-post measures include assessment of quiet stance and the Community Balance and Mobility Scale. A semistructured interview will be completed at the end of each intervention segment to document the lived experience of both survivors and their study partners. Finally, five questionnaires will be used to understand the overall experience: the Mayo-Portland Adaptability Inventory-4 Participation Index, Satisfaction With Life Scale, Fall Efficacy Scale-International, Interpersonal Behavior Questionnaire, and System Usability Scale. Data will be analyzed following traditional single-subject methods of analysis.

Results

Ethics approval was received from both the Bruyère Research Institute and University of Ottawa review boards in March 2019. Recruitment is underway.

Conclusions

The proposed intervention is complex in nature due to the involvement of multiple technology sources and the inclusion of a complex dyad (survivors and caregivers) in a community setting. This type of research is timely given that alternative methods of physical intervention delivery are needed to facilitate gains in balance, mobility, physical activity among TBI survivors with limited access to clinical care, and the quality of the patients’ experience.

International Registered Report Identifier (IRRID)

PRR1-10.2196/14867

External causes of death after severe traumatic brain injury in a multicentre inception cohort: clinical description and risk factors

Objective: To characterize the clinical profile of patients dying from external causes (EC) following severe traumatic brain injury (TBI). Design and Methods: Data from 2545 patients forming the NSW-BIRP inception cohort discharged from post-acute inpatient rehabilitation between 1 July 1990 and 1 October 2007 were retrospectively reviewed. Standardized mortality ratios (SMRs) were calculated for EC sub-categories. Demographic, clinical and rehabilitation service factors were compared between deaths from EC, deaths from other causes (OC), and non-deceased. Clinical profiles of EC sub-categories were analysed descriptively. Results: Overall, patients with TBI were 5.2x more likely to die from EC relative to the general population. Risk of death was elevated in all EC sub-categories examined, with the largest risks relating to other accidental threats to breathing (SMR = 33.0; 95%CI = 13.79-60.45) and falls (SMR = 14.3; 95%CI = 5.01-28.39). The EC group were younger, more likely to have pre-injury psychiatric histories, less severe injuries, greater functional independence, and die earlier than the OC group. There was considerable heterogeneity in the clinical profiles of patients dying from different EC sub-categories. Conclusions: EC constitutes one of the largest causes of mortality following TBI in patients surviving beyond the post-acute phase. Potential implications for risk modification and prevention of premature and avoidable deaths are discussed.

A systematic review of falls in hospital for patients with communication disability: Highlighting an invisible population

BACKGROUND

Patients with communication disability, associated with impairments of speech, language, or voice, have a three-fold increased risk of adverse events in hospital. However, little research yet examines the causal relationship between communication disability and risk for specific adverse events in hospital.

OBJECTIVE

To examine the impact of a patient's communication disability on their falls risk in hospital.

METHODS

This systematic review examined 61 studies on falls of adult hospital patients with communication disability, and patients at high risk of communication disability, to determine whether or not communication disability increased risk for falls, and the nature of and reasons for any increased risk.

RESULTS

In total, 46 of the included studies (75%) reported on participants with communication disability, and the remainder included patients with health conditions placing them at high risk for communication disability. Two thirds of the studies examining falls risk identified communication disability as contributing to falls. Commonly, patients with communication disability were actively excluded from participation; measures of communication or cognition were not reported; and reasons for any increased risk of falls were not discussed.

CONCLUSIONS

There is some evidence that communication disability is associated with increased risk of falls. However, the role of communication disability in falls is under-researched, and reasons for the increased risk remain unclear. Practical applications: Including patients with communication disability in falls research is necessary to determine reasons for their increased risk of adverse events in hospital. Their inclusion might be helped by the involvement of speech-language pathologists in falls research teams.

Physical Performance and Fall Risk in Persons With Traumatic Brain Injury

Injuries sustained from traumatic brain injury (TBI) culminate in both cognitive and neuromuscular deficits. Patients often progress to higher functioning on the Rancho continuum even while mobility deficits persist. Although prior studies have examined physical performance among persons with chronic symptoms of TBI, less is known about the relatively acute phase of TBI as patients prepare for rehabilitation discharge. The aims of this cross-sectional study were to (a) compare balance and gait performance in 20 ambulant persons with moderate to severe TBI who were nearing rehabilitation discharge with their age-matched controls and (b) describe performance with thresholds for fall risk and community navigation. During a designed task circuit, 40 participants (20 persons with TBI and 20 controls) performed the Timed Up and Go (TUG), gait velocity, and Walking and Remembering tests. Balance testing included the Fullerton Advanced Balance Scale (FABS) and instrumented Modified Clinical Test for Sensory Interaction in Balance (MCTSIB). Statistical analyses included analysis of covariance for group comparisons and a multivariate analysis of covariance for MCTSIB sway velocities with anthropometric controls. The TBI group (mean [ M] age = 42, standard deviation [ SD] =19.5 years; 70% males) performed significantly more poorly on all mobility tests ( p < .05) and their scores reflected a potential fall risk. Gait velocity was significantly slower for the TBI versus control group ( M = .96, SD = 2.6 vs. M = 1.5, SD = 2.2 m/s; p < .001), including TUG times ( M = 13.5, SD = 4.9 vs. M = 7.7, SD = 1.4; p < .001). TBI participants also demonstrated significantly greater sway velocity on all MCTSIB conditions ( p < .01) and lower performance on the FABS ( p < .001). Performance indices indicate potential fall risk and community navigation compromise for individuals with moderate to severe TBI. Physical performance scores support the need for continued interventions to optimize functional mobility upon discharge.

Fall prevention: is the STRATIFY tool the right instrument in Italian Hospital inpatient? A retrospective observational study

BACKGROUND

Although several risk assessment tools are in use, uncertainties on their accuracy in detecting fall risk already exist. Choosing the most accurate tool for hospital inpatient is still a challenge for the organizations. We aimed to retrospectively assess the appropriateness of a fall risk prevention program with the STRATIFY assessment tool in detecting acute-care inpatient fall risk.

METHODS

Number of falls and near falls, occurred from January 2014 to March 2015, was collected through the incident reporting web-system implemented in the hospital's intranet. We reported whether the fall risk was assessed with the STRATIFY assessment tool and, if so, which was the judgement. Primary outcome was the proportion of inpatients identified as high risk of fall among inpatients who fell (True Positive Rate), and the proportion of inpatients identified as low-risk that experienced a fall howsoever (False Negative Rate). Characteristics of population and fall events were described among subgroups of low risk and high risk inpatients.

RESULTS

We collected 365 incident reports from 40 hospital units, 349 (95.6%) were real falls and 16 (4.4%) were near falls. The fall risk assessment score at patient's admission had been reported in 289 (79%) of the overall incident reports. Thus, 74 (20.3%) fallers were actually not assessed with the STRATIFY, even though the majority of them presented risk recommended to be assessed. The True Positive Rate was 35.6% (n = 101, 95% CI 30% - 41.1%). The False Negative Rate was 64.4% (n = 183, 95% CI 58.9%-70%) of fallers, nevertheless they incurred in a fall. The STRATIFY mean score was 1.3 ± 1.4; the median was 1 (IQQ 0-2).

CONCLUSIONS

The prevention program using only the STRATIFY tool was found to be not adequate to screen our inpatients population. The incorrect identification of patients' needs leads to allocate resources to erroneous priorities and to untargeted interventions, decreasing healthcare performance and quality.

Development of the Sydney Falls Risk Screening Tool in brain injury rehabilitation: A multisite prospective cohort study

AIMS AND OBJECTIVES

To develop a falls risk screening tool (FRST) sensitive to the traumatic brain injury rehabilitation population.

BACKGROUND

Falls are the most frequently recorded patient safety incident within the hospital context. The inpatient traumatic brain injury rehabilitation population is one particular population that has been identified as at high risk of falls. However, no FRST has been developed for this patient population. Consequently in the traumatic brain injury rehabilitation population, there is the real possibility that nurses are using falls risk screening tools that have a poor clinical utility.

DESIGN

Multisite prospective cohort study.

METHODS

Univariate and multiple logistic regression modelling techniques (backward elimination, elastic net and hierarchical) were used to examine each variable's association with patients who fell. The resulting FRST's clinical validity was examined.

RESULTS

Of the 140 patients in the study, 41 (29%) fell. Through multiple logistic regression modelling, 11 variables were identified as predictors for falls. Using hierarchical logistic regression, five of these were identified for inclusion in the resulting falls risk screening tool: prescribed mobility aid (such as, wheelchair or frame), a fall since admission to hospital, impulsive behaviour, impaired orientation and bladder and/or bowel incontinence. The resulting FRST has good clinical validity (sensitivity = 0.9; specificity = 0.62; area under the curve = 0.87; Youden index = 0.54). The tool was significantly more accurate (p = .037 on DeLong test) in discriminating fallers from nonfallers than the Ontario Modified STRATIFY FRST.

CONCLUSION

A FRST has been developed using a comprehensive statistical framework, and evidence has been provided of this tool's clinical validity.

RELEVANCE TO CLINICAL PRACTICE

The developed tool, the Sydney Falls Risk Screening Tool, should be considered for use in brain injury rehabilitation populations.

An examination of patient characteristics that contribute to falls in the inpatient traumatic brain injury rehabilitation setting

PURPOSE

To examine patient characteristics that contribute to falls in the inpatient traumatic brain injury (TBI) rehabilitation setting.

METHOD

A three-round modified Delphi technique that engaged a multidisciplinary panel of 11 health experts was used. Group median score and disagreement index were used to measure agreement between participants about patient characteristics that contribute to falls.

RESULTS

All panel members participated in each questionnaire round. Several factors (such as, a fall since admission to hospital, cognitive impairment and motor impairment) were interpreted as contributing to falls in the TBI rehabilitation setting; but others were not (such as, antecedent falls and medication class). Some salient themes identified in participants' comments include: (1) the need to differentiate between what is an activity (e.g., mobility) and impairment (e.g., ataxic gait)-based falls risk factor; (2) over the course of a 24-h day and inpatient rehabilitation stay, a patient's risk of falling is not linear; and (3) Functional Independence Measure and predictors of TBI severity have varied sensitivity in predicting falls.

CONCLUSIONS

In the TBI rehabilitation setting, falls result from a combination of many patient factors. Some factors are believed to be more relevant at different time points over a 24-h day and, at particular times during the course of a patient's rehabilitation. The utility and statistical significance of risk factor of falls are both important concepts when determining their clinical relevance. Implications for Rehabilitation Clinicians should be mindful that the rehabilitation context can present unique falls risk factors, some of which emerge at different times during a patient's rehabilitation. Over the course of a patient's rehabilitation their risk of falling is not linear; therefore, rehabilitation clinicians should undertake periodic falls risk screening. The utility value and statistical significance of falls risk factors are both important aspects to consider when determining their clinical utility.

Predicting falls: considerations for screening tool selection vs. screening tool development

AIMS

This paper discusses considerations for falls risk screening tool selection vs. the need to develop new tools.

BACKGROUND

Inpatient falls are a complex patient safety issue that represent a significant burden for the healthcare system. In the inpatient context, falls risk screening tools are most often used for predicting falls, but in some populations assessment tools are more suited, however in others, a clinician's clinical judgment may be just as effective. Limited external validity is a central issue with falls risk screening tools when used in different populations than the original study. There is clinical need for guidance regarding screening tool selection vs. the need to development new tools and how to effect change in relation to the prediction of falls.

DESIGN

Discussion paper.

DATA SOURCES

This discussion paper is based on our own experiences and research and is supported by literature.

IMPLICATIONS FOR NURSING

This paper provides clinicians with a better understanding of considerations for falls risk screening tool selection vs. the need to develop new tools. In doing so, it provides clinicians guidance on how to critique the efficacy and utility of their falls risk screening tool. This paper equips clinicians for effecting change in relation to the prediction of falls.

CONCLUSION

Falls risk prediction is a particularly complex patient safety issue. Clinicians need to be aware of the limitations of their tool used to predict falls.