Original Research: Patient Perception of Fall Risk in the Acute Care Setting.

PURPOSE: Hospitals are implementing a variety of fall prevention programs to reduce the fall rates of hospitalized patients. But if patients don't perceive themselves to be at risk for falling and don't adhere to fall prevention strategies, such programs are likely to be less effective. The purpose of this study was to describe the perceptions of fall risk among hospitalized patients across four acute care specialty services. METHODS: One hundred patients who had been admitted to the study hospital and who had a Morse Fall Scale score over 45 were asked to complete the Patient Perception Questionnaire, a tool designed to explore a patient's confidence regarding their fall risk, fear of falling, and intention to engage in fall prevention activities. Morse Fall Scale scores were collected via retrospective chart review. Data were analyzed using descriptive statistics, Pearson correlation coefficients, and independent sample t tests. RESULTS: Participants' mean age was 65 years; 52% were male, 48% female. Although all 100 participants were deemed at risk for falls per their Morse Fall Scale scores, only 55% considered themselves to be at such risk. As patients' confidence in their ability to perform mobility tasks increased, their intention to ask for help and fear of falling significantly decreased. Patients who had been admitted as the result of a fall demonstrated significantly lower confidence scores and higher fear scores. CONCLUSIONS: Patients who score high on fall risk assessments often don't perceive themselves to be at high risk for falling, and thus might not engage in fall prevention activities. Developing a fall risk assessment method that incorporates both a patient's physiological condition and their perception of their fall risk could help reduce fall rates in the acute care setting.

Analysis of Inpatient Hospital Falls with Serious Injury.

Fall-related serious injuries pose risks to patients and healthcare organizations. This retrospective, single-hospital study used a 38 variable instrument to understand characteristics of those who sustained a fall with serious injury. Analyses included descriptive statistics, frequency, and Chi-square tests of associations between key variables and outcomes of moderate versus major injury. Age range 25-91 years, predominantly 60-69 years (23.3%), and mostly male (50.9%). Highest percentage occurred between 0:00 and 06:59 (39.6%), and on Oncology service (28.3%). Fallers were in the room, (81.1%), sustained major injury (73.6%), fractured a major bone (43.4%), had altered mobility prior to the fall (67.9%), and had received at least one narcotic dose within 24 hours before the fall (43.2%). The associations between injury severity and age, gender, altered mobility, fall risk assessment pre-fall, and unit service line are not statistically significant, however have small-to-moderate clinical significance. This study adds to the literature in identifying characteristics of patients who sustain a fall-related serious injury.

Implementation of Fall Preventions Over the Past 15 Years: Impact on Inpatient Injury and Insights for the Future.

BACKGROUND: Hospital fall rates have changed minimally with preventive measures; however, the effect on injury rate is unclear. PURPOSE: The purpose was to determine whether fall-related injuries have changed over time. METHODS: A retrospective comparison was done of 1134 adult inpatient falls in 2017 to 1235 falls in 2001-2002 for injury and fall circumstances. Separate comparisons were made of patient characteristics by service line for 2017. RESULTS: Severe fall injuries declined from 6% to 2.4%. Elimination issues remained the most common circumstance (38.9% and 42%). In 2017, malnutrition (31.6%), low function (61.4%), fall history (26.3%), and use of high-risk medications (83.2%) were common in patients who fell. Predictors of falls with injury by patient population were as follows: surgery-male gender (P = .01), low function (P = .006), elimination issues (P = .04); oncology-low function (P = .04); and neurology-low function (P = .02). CONCLUSIONS: Severe fall-related injuries have decreased in the past 15 years. The most common circumstance for falls remains elimination issues.

Medications and Patient Characteristics Associated With Falling in the Hospital.

OBJECTIVES: The aim of this study was to evaluate specific medications and patient characteristics as risk factors of falling in the hospital. METHODS: This is a case-control study comparing demographic, health, mobility, and medication data for 228 patients who fell between June 29, 2007, and November 14, 2007, at a large tertiary care hospital and 690 randomly selected control patients. Logistic regression was used to identify fall risk factors. RESULTS: Independent risk factors of falling included history of falls (odds ratio [OR], 2.7; 95% confidence interval [CI], 1.8-4.2); needing an assistive device (OR, 3.2; 95% CI, 1.5-6.8) or person assistance (OR, 2.1; 95% CI, 1.3-3.3) to ambulate; being underweight (OR, 2.4; 95% CI, 1.2-4.7) or obese (OR, 1.6; 95% CI, 1.0-2.5); confusion (OR, 2.4; 95% CI, 1.5-4.0); dizziness (OR, 2.1; 95% CI, 1.1-4.3); incontinence (OR, 1.5; 95% CI, 1.0-2.3); and an order for a hydantoin (OR, 3.3; 95% CI, 1.3-8.0) or benzodiazepine anticonvulsant (OR, 2.2; 95% CI, 1.5-3.3), haloperidol (OR, 2.8; 95% CI, 1.2-6.8), tricyclic antidepressant (OR, 2.4; 95% CI, 1.2-4.9), or insulin (OR, 1.5; 95% CI, 1.0-2.1). Female sex (OR, 0.8; 95% CI, 0.6-1.0), proton pump inhibitors (OR, 0.6; 95% CI, 0.4-0.9), and muscle relaxants (OR, 0.4; 95% CI, 0.3-0.7) were associated with lower risk for falling. CONCLUSIONS: This study identified medications and patient characteristics associated with increased risk for falling in the hospital. High-risk medications identified in this study may serve as targets for medication review or adjustment, which have been recommended as a component of multifaceted fall prevention programs.

Chemotherapy Extravasation: Establishing a National Benchmark for Incidence Among Cancer Centers.

BACKGROUND: Given the high-risk nature and nurse sensitivity of chemotherapy infusion and extravasation prevention, as well as the absence of an industry benchmark, a group of nurses studied oncology-specific nursing-sensitive indicators. 
. OBJECTIVES: The purpose was to establish a benchmark for the incidence of chemotherapy extravasation with vesicants, irritants, and irritants with vesicant potential.
. METHODS: Infusions with actual or suspected extravasations of vesicant and irritant chemotherapies were evaluated. Extravasation events were reviewed by type of agent, occurrence by drug category, route of administration, level of harm, follow-up, and patient referrals to surgical consultation.
. FINDINGS: A total of 739,812 infusions were evaluated, with 673 extravasation events identified. Incidence for all extravasation events was 0.09%.

Evaluation of Sensor Technology to Detect Fall Risk and Prevent Falls in Acute Care.

BACKGROUND: Sensor technology that dynamically identifies hospitalized patients' fall risk and detects and alerts nurses of high-risk patients' early exits out of bed has potential for reducing fall rates and preventing patient harm. During Phase 1 (August 2014-January 2015) of a previously reported performance improvement project, an innovative depth sensor was evaluated on two inpatient medical units to study fall characteristics. In Phase 2 (April 2015-January 2016), a combined depth and bed sensor system designed to assign patient fall probability, detect patient bed exits, and subsequently prevent falls was evaluated. METHODS: Fall detection depth sensors remained in place on two medicine units; bed sensors used to detect patient bed exits were added on only one of the medicine units. Fall rates and fall with injury rates were evaluated on both units. RESULTS: During Phase 2, the designated evaluation unit had 14 falls, for a fall rate of 2.22 per 1,000 patient-days-a 54.1% reduction compared with the Phase 1 fall rate. The difference in rates from Phase 1 to Phase 2 was statistically significant (z = 2.20; p = 0.0297). The comparison medicine unit had 30 falls-a fall rate of 4.69 per 1,000 patient-days, representing a 57.9% increase as compared with Phase 1. CONCLUSION: A fall detection sensor system affords a level of surveillance that standard fall alert systems do not have. Fall prevention remains a complex issue, but sensor technology is a viable fall prevention option.

Anatomy of Inpatient Falls: Examining Fall Events Captured by Depth-Sensor Technology.

BACKGROUND: Sensor technology offers a new way to identify patient movement, detect falls, and automatically alert health care staff when falls occur. The information gained from analyzing actual fall events can be beneficial in developing individualized fall prevention strategies, informing nursing staff about the nature of falls, and identifying opportunities to make the patient care environment safer. METHODS: A six-month performance improvement pilot was conducted at Barnes-Jewish Hospital (St. Louis) to assess the ability of a depth-sensor system to capture inpatient fall events within patient hospital rooms. Depth sensors were installed on two inpatient medicine units with a history of high fall rates. The depth sensors captured actual fall events on video. Video clips were reviewed and analyzed to identify the characteristics of patient falls, staff response times, and environmental conditions contributing to falls. RESULTS: A total of 16 falls involving 13 patients were recorded by depth sensors. Six of the 13 patients who fell were classified as high risk on the basis of the hospital's fall rating tool. Common contributing factors included difficulty rising from their bed, weakened lower extremities, and unsteady or slow gait. Eleven of the falls involved patients reaching for objects in their path in an effort to achieve stability. Nurses had less than two minutes from the time a patient began to exit a bed to the time a fall occurred. Patients expressed few complaints with depth sensors installed in rooms. CONCLUSION: Fall-detection sensor systems offer valuable data for analyzing the nature of patient falls, with the potential promise of prescribing specific fall interventions for patients and to identify staff development opportunities. Hospitals should understand these devices' benefits and limitations and how they affect nursing practice.

Fall prevention for inpatient oncology using lean and rapid improvement event techniques.

OBJECTIVE: The objective of this project was to reduce patient falls and falls with injury on three oncology divisions at a large urban teaching hospital. By standardizing assessment, intervention, and post-fall investigation processes the goal was to decrease patient falls and falls with injury rate by 50% and 30%, respectively. BACKGROUND: Preventing patients from being injured due to a fall during their hospitalization has been a concern in healthcare for many years. Organizations around the world such as Institute of Medicine, The Joint Commission, National Institute for Health and Clinical Excellence, National Australian Patient Safety Foundation, and the World Health Organization have been conducting research and publishing guidelines to identify evidence based interventions for fall prevention (Ulrich et al., 2008, Di Pilla, 2010). Falls are the most common cause of non-fatal injury and hospital admission for trauma. Death rates due to falls have risen sharply over the past decade due to aging of the population. METHODS: A Rapid Improvement Event (RIE) technique was selected to implement the fall prevention initiative because it aligned with the hospital's lean transformation initiative. There was coordination with other departmental staff (physical and occupational therapy, pharmacy, physicians, information systems, low bed equipment vendor, and clinical operations) to achieve multidisciplinary input. RESULTS: A 22% decrease in total fall rate and a 37% decrease in falls with injury rate were achieved in the 16-month post-intervention period. Although a 22% decrease in total falls did not meet the goal of 50% decrease, the total falls with injury decrease of 37% did exceed the goal of 30%. CONCLUSIONS: Falls are a multi-faceted, complex problem that needs constant vigilance and continuous improvement to sustain patient safety. Anticipating physiologic changes in patients' conditions and implementing interventions before the fall is critical to fall prevention. While well-validated screening tools performed thoroughly and accurately can help hospital staff identify patient specific fall risk factors, risk assessment alone does not prevent falls. If the prevention of patient falls is identified as important by leadership and staff at the division level and all are invested in achieving established goals, success can be achieved and sustained. KEYWORDS: Case study, falls, hospital, human factors, organizational transformation, patients.

Intervention to prevent falls on the medical service in a teaching hospital.

OBJECTIVE: To evaluate an intervention to prevent falls at a hospital. DESIGN: A quasi-experimental intervention with historical and contemporaneous control groups. SETTING AND PARTICIPANTS: Nursing staff and patients in the medicine service (comprising 2 intervention floors and 2 control floors) at an academic hospital. INTERVENTION: Nursing staff were educated regarding fall prevention during the period from April through December 2005. Data on implemented prevention strategies were collected on control and intervention floors. Mean monthly fall rates were compared over time and between intervention and control floors, using repeated-measures analysis of variance. RESULTS: Postintervention fall knowledge test scores for the nursing staff were greater than preintervention test scores (mean postintervention test score, 91%; mean preintervention test score, 72%; P < .001). Use of prevention strategies was greater on intervention floors than it was on control floors, including patient education via pamphlets (46% vs 15%; P < .001), use of toileting schedules (36% vs 25%; P = .016), and discussion of high-risk medications (51% vs 30%; P < .001). The mean fall rate for the first 5 months of the intervention was 43% less than that for the 9-month preintervention period for intervention floors (3.81 falls per 1,000 patient-days vs 6.64 falls per 1,000 patient-days; P = .043). Comparisons of mean rates for the overall 9-month intervention period versus the 9-month preintervention period showed a 23% difference in the fall rate for intervention floors, but this did not reach statistical significance (5.09 falls per 1,000 patient-days vs 6.64 falls per 1,000 patient-days; P = .182). CONCLUSION: The nursing staff's knowledge and use of prevention strategies increased. Fall rates decreased for 5 months after the educational intervention, but the reduction was not sustained.

Circumstances of patient falls and injuries in 9 hospitals in a midwestern healthcare system.

OBJECTIVE: Preventing hospital falls and injuries requires knowledge of fall and injury circumstances. Our objectives were to determine whether reported fall circumstances differ among hospitals and to identify predictors of fall-related injury. DESIGN: Retrospective cohort study. Adverse event data on falls were compared according to hospital characteristics. Logistic regression was used to determine adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for risk factors for fall-related injury. SETTING: Nine hospitals in a Midwestern healthcare system. PATIENTS: Inpatients who fell during 2001-2003. RESULTS: The 9 hospitals reported 8,974 falls that occurred in patient care areas, involving 7,082 patients; 7,082 falls were included in our analysis. Assisted falls (which accounted for 13.3% of falls in the academic hospital and 9.8% of falls in the nonacademic hospitals; P<.001) and serious fall-related injuries (which accounted for 3.7% of fall-related injuries in the academic hospital and 2.2% of fall-related injuries in the nonacademic hospitals; P<.001) differed by hospital type. In multivariate analysis for the academic hospital, increased age (aOR, 1.006 [95% CI, 1.000-1.012]), falls in locations other than patient rooms (aOR, 1.53 [95% CI, 1.03-2.27]), and unassisted falls (aOR, 1.70 [95% CI, 1.23-2.36]) were associated with increased injury risk. Altered mental status was associated with a decreased injury risk (aOR, 0.72 [95% CI, 0.58-0.89]). In multivariate analysis for the nonacademic hospitals, increased age (aOR, 1.007 [95% CI, 1.002-1.013]), falls in the bathroom (aOR, 1.46 [95% CI, 1.06-2.01]), and unassisted falls (aOR, 1.83 [95% CI, 1.37-2.43]) were associated with injury. Female sex (aOR, 0.83 [95% CI, 0.71-0.97]) was associated with a decreased risk of injury. CONCLUSION: Some fall characteristics differed by hospital type. Further research is necessary to determine whether differences reflect true differences or merely differences in reporting practices. Fall prevention programs should target falls involving older patients, unassisted falls, and falls that occur in the patient's bathroom and in patient care areas outside of the patient's room to reduce injuries.

Patterns and predictors of inpatient falls and fall-related injuries in a large academic hospital.

OBJECTIVES: Most research on hospital falls has focused on predictors of falling, whereas less is known about predictors of serious fall-related injury. Our objectives were to characterize inpatients who fall and to determine predictors of serious fall-related injury. METHODS: We performed a retrospective observational study of 1,082 patients who fell (1,235 falls) during January 2001 to June 2002 at an urban academic hospital. Multivariate analysis of potential risk factors for serious fall-related injury (vs no or minor injury) included in the hospital's adverse event reporting database was conducted with logistic regression to calculate adjusted odds ratios (aORs) with 95% confidence intervals (CI95) RESULTS: The median age of patients who fell was 62 years (interquartile range, 49-77 years), 50% were women, and 20% were confused. The hospital fall rate was 3.1 falls per 1,000 patient-days, which varied by service from 0.86 (women and infants) to 6.36 (oncology). Some (6.1%) of the falls resulted in serious injury, ranging by service from 3.1% (women and infants) to 10.9% (psychiatry). The most common serious fall-related injuries were bleeding or laceration (53.6%), fracture or dislocation (15.9%), and hematoma or contusion (13%). Patients 75 years or older (aOR, 3.2; CI95, 1.3-8.1) and those on the geriatric psychiatry floor (aOR, 2.8; CI95, 1.3-6.0) were more likely to sustain serious fall-related injuries. CONCLUSIONS: There is considerable variation in fall rates and fall-related injury percentages by service. More detailed studies should be conducted by floor or service to identify predictors of serious fall-related injury so that targeted interventions can be developed to reduce them.

A case-control study of patient, medication, and care-related risk factors for inpatient falls.

OBJECTIVE: To comprehensively analyze potential risk factors for falling in the hospital and describe the circumstances surrounding falls. DESIGN: Case-control study. Data on potential risk factors and circumstances of the falls were collected via interviews with patients and/or nurses and review of adverse event reports, medical records, and nurse staffing records. SETTING: Large urban academic hospital. PATIENTS: Ninety-eight inpatients who fell and 318 controls matched on approximate length of stay until the index fall. MEASUREMENTS AND MAIN RESULTS: In a multivariate model of patient-related, medication, and care-related variables, factors that were significantly associated with an increased risk of falling included: gait/balance deficit or lower extremity problem (adjusted odds ratio [aOR], 9.0; 95% confidence interval [CI], 2.0 to 41.0), confusion (aOR, 3.6; 95% CI, 1.6 to 8.4), use of sedatives/hypnotics (aOR, 4.3; 95% CI, 1.6 to 11.5), use of diabetes medications (aOR, 3.2; 95% CI, 1.3 to 7.9), increasing patient-to-nurse ratio (aOR, 1.6; 95% CI, 1.2 to 2.0), and activity level of "up with assistance" compared with "bathroom privileges" (aOR, 8.7; 95% CI, 2.3 to 32.7). Urinary or stool frequency or incontinence was of borderline significance (aOR, 2.3; 95% CI, 0.99 to 5.6). Having one or more side rails raised was associated with a decreased risk of falling (aOR, 0.006; 95% CI, 0.001 to 0.024). CONCLUSIONS: Patient health status, especially abnormal gait or lower extremity problems, medications, as well as care-related factors, increase the risk of falling. Fall prevention programs should target patients with these risk factors and consider using frequently scheduled mobilization and toileting, and minimizing use of medications related to falling.

Characteristics and circumstances of falls in a hospital setting: a prospective analysis.

OBJECTIVE: To describe the epidemiology of hospital inpatient falls, including characteristics of patients who fall, circumstances of falls, and fall-related injuries. DESIGN: Prospective descriptive study of inpatient falls. Data on patient characteristics, fall circumstances, and injury were collected through interviews with patients and/or nurses and review of adverse event reports and medical records. Fall rates and nurse staffing levels were compared by service. SETTING: A 1,300-bed urban academic hospital over 13 weeks. PATIENTS: All inpatient falls reported for medicine, cardiology, neurology, orthopedics, surgery, oncology, and women and infants services during the study period were included. Falls in the psychiatry service and falls during physical therapy sessions were excluded. MEASUREMENTS AND MAIN RESULTS: A total of 183 patients fell during the study period. The average age of patients who fell was 63.4 years (range 17 to 96). Many falls were unassisted (79%) and occurred in the patient's room (85%), during the evening/overnight (59%), and during ambulation (19%). Half of the falls (50%) were elimination related, which was more common in patients over 65 years old (83% vs 48%; P <.001). Elimination-related falls increased the risk of fall-related injury (adjusted odds ratio, 2.4; 95% confidence interval 1.1 to 5.3). The medicine and neurology services had the highest fall rates (both were 6.12 falls per 1,000 patient-days), and the highest patient to nurse ratios (6.5 and 5.3, respectively). CONCLUSIONS: Falls in the hospital affect young as well as older patients, are often unassisted, and involve elimination-related activities. Further studies are necessary to prevent hospital falls and reduce fall injury rates.