Tessa Quinn
Falls in hospitals are a major concern, with nearly 1 million patients experiencing falls annually, leading to over 250,000 injuries and approximately 11,000 deaths each year. This issue is particularly prevalent among older adults due to factors such as mobility impairments and cognitive issues. To improve patient safety and quality of care, hospitals must implement effective fall prevention strategies and compare their performance with other hospitals. Comparing inpatient fall rates across hospitals can serve as a benchmark for quality improvement, but it is important to adjust for patient-related fall risk factors that are not modifiable by care to ensure a fair comparison. This process involves analyzing falls by type and linking interventions to the type of fall at all levels, from the organization to patient care.
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What You'll Learn
Fall rates and patient-related risk factors
Comparing inpatient fall rates can serve as a benchmark for quality improvement. To improve the comparability of performance between hospitals, adjustments for patient-related fall risk factors that are not modifiable by care are recommended. The risk factors for falls include increasing age, emergency arrival, hospital transfer, and prolonged hospital stay. Inpatient falls result in significant physical and economic burdens for patients and medical organizations. Falls are a common and devastating complication of hospital and long-term care, particularly in older adults. Epidemiologic studies have found that falls occur at a rate of 3–5 per 1000 bed-days, and the Agency for Healthcare Research and Quality estimates that 700,000 to 1 million hospitalized patients fall each year.
To be a high-reliability organization, hospitals must analyze falls by type of fall and link interventions to the type of fall at all levels: organization, unit, and patient care, targeting risks for physical injury in combination with fall prevention. Once systems are developed for fall rate tracking and internal comparison, organizations can identify trends and compare rates to those from national databases. Fall rates should be compared with similar populations. For example, fall rates for acute care units should be compared with those for other acute care units. Additionally, fall rates should be analyzed by type of fall, defining preventable from unpreventable falls.
The recommendations suggest that clinical, administrative, and risk management staff conduct an in-depth data analysis and provide unit-specific feedback to staff regarding fall rates and fall-related injury rates. A population-based model that includes fall prevention and injury protection interventions at the organizational, unit, and patient level could potentially mobilize changes on a large scale, produce a normative effect, and achieve a more permanent diffusion process. The proposed model is specific for hospitals and nursing home residents.
To enable a fair comparison of hospital performance, the presence of patient-related fall risk factors in patient populations must be considered, as patients are not randomly allocated to hospitals and can vary considerably from hospital to hospital. Risk adjustment (also known as case-mix adjustment) is generally recommended to facilitate a meaningful and fair comparison of performance between hospitals. Risk adjustment attempts to control for patient-related risk factors that cannot be influenced by care, so the remaining variability in risk-adjusted fall rates can be attributed to differences in the quality of care provided by a hospital.
While several articles describe or use the method of risk adjustment in relation to healthcare outcomes, there have been no risk-adjusted fall rates published for acute care hospitals. However, this would appear to be imperative if hospitals do not want to be compared based on unadjusted fall rates, especially since an unadjusted hospital comparison may lead to inaccurate conclusions about hospital performance. The lack of evidence supporting the use of predictive tools led to 2013 National Institute for Health and Care Excellence (NICE) guidelines, which explicitly recommended against the routine use of fall prediction tools, instead advising that all inpatients over the age of 65 be considered at high risk.
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Fall prevention strategies
Identify High-Risk Patients
A crucial step in fall prevention is identifying patients who are at a high risk of falling. This involves conducting fall risk assessments to evaluate individual patient factors such as age, mobility impairments, cognitive issues, and underlying clinical conditions. Patients over the age of 65 are often considered high-risk, and specific attention should be given to elderly patients who experience rapid functional decline during hospitalisation.
Clinical Judgment and Tailored Interventions
Using clinical judgment, healthcare professionals can decide on the most appropriate fall prevention strategies for each patient. This may include a range of interventions, from multifactorial approaches advised by organisations like the Department of Veterans Affairs to specific strategies like the use of "sitters" or companions who provide one-to-one surveillance and therapeutic care for high-risk patients.
Implement Technological Advancements
Emerging technologies offer promising alternatives to traditional methods. Video monitoring systems and sensor technologies provide continuous surveillance with minimal disruption, enhancing real-time monitoring and patient safety. Additionally, virtual reality training and robots show potential in improving balance and gait control, which could be beneficial in fall prevention.
Promote Mobility and Activity
While preventing falls is essential, it is equally important to promote mobility and activity, especially among elderly patients. Overly restrictive measures to prevent falls can hinder patients' recovery from acute illnesses and put them at risk of further complications. Therefore, a balanced approach is necessary to ensure patient safety and encourage functional improvement.
Collaborate and Share Responsibility
Fall prevention requires a shared responsibility between clinical, administrative, and risk management staff. Effective collaboration among hospital staff can lead to better patient outcomes. Additionally, hospitals can benefit from collaborating with external providers for post-discharge care to further reduce fall incidents and improve patient safety after hospital stays.
By implementing these strategies and utilising data analysis to track and compare fall rates, hospitals can continuously improve their fall prevention programs and enhance patient care.
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Interventions and their evaluation
To effectively compare fall incidents at hospitals, it is essential to understand the interventions implemented to prevent falls and evaluate their effectiveness. Here are some key considerations and strategies:
- Risk Assessment and Prediction Tools: Hospitals often use risk assessment tools to identify patients at high risk of falling. These tools typically consist of checklists of risk factors, such as age, mobility issues, medication use, and environmental hazards. While these tools are widely used, their effectiveness in fall prevention has been questioned. It is important to distinguish between risk assessments and prediction tools, as prediction tools provide a quantitative score to determine the patient's risk level. However, the Agency for Healthcare Research and Quality (AHRQ) recommends focusing on addressing specific risk factors rather than solely relying on prediction tools.
- Clinical Prediction Rules: There are clinical prediction rules to identify high-risk patients, but none have been proven significantly more accurate than others. It is crucial to consider patient-specific factors, such as age, delirium, medication use, and baseline mobility or balance issues.
- Individualized Fall Prevention: Fall prevention measures must be tailored to the individual patient. A successful program combines environmental measures, such as nonslip floors and ensuring patients are within the line of sight of nurses, with clinical interventions like minimizing deliriogenic medications. Promoting mobility and activity is also important, especially for elderly patients, as overzealous fall prevention measures may limit their recovery and put them at risk of other complications.
- Comprehensive Approach: A comprehensive strategy that integrates patient education, tailored interventions, and advanced technologies is crucial for effective fall prevention. This includes emerging technologies like virtual reality training and robots, which show potential in improving balance and gait control.
- Implementation Strategies: Hospitals use implementation strategies to promote the adoption of fall prevention interventions. However, these strategies are often under-reported. Common approaches include staff education and quality management strategies, such as posting fall rates and conducting staff debriefs after fall incidents.
- Data Analysis and Comparison: Hospitals should develop systems for fall rate tracking and internal comparison to identify trends. Comparisons should be made with similar populations, such as acute care units comparing fall rates with other acute care units. Additionally, falls should be analysed by type, distinguishing preventable from unpreventable falls. This data analysis is essential for evaluating the impact of interventions and guiding future strategies.
- Sitters and Companions: Sitters, or companions, provide one-to-one surveillance and therapeutic care for patients at high risk of falling. While they can be effective, they are also costly. There is indirect evidence of their effectiveness, but more research is needed, including randomized controlled trials (RCTs) to definitively determine their impact.
- Multifactorial Interventions: Hospitals should implement multifactorial interventions that address both fall prevention and injury protection. Risk for serious injury is separate from the risk of falling and should be addressed through specific interventions. Meaningful data analysis, including in-depth data and additional data enhancement, can help evaluate the effectiveness of these interventions.
- National Guidelines and Toolkits: Organisations like the Agency for Healthcare Quality and Research and Quality and the Joint Commission provide guidelines and toolkits for fall prevention. These resources emphasise the importance of local safety culture and committed organisational leadership in developing successful fall prevention programs. Adhering to these guidelines can help standardise and improve fall prevention practices across hospitals.
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Inpatient fall rates and hospital performance
Inpatient falls are a significant challenge for hospitals, with nearly 1 million patients experiencing falls annually in the US, leading to over 250,000 injuries and 11,000 deaths each year. These incidents are particularly prevalent among older adults due to factors such as mobility impairments and cognitive issues. As a result, hospitals have been seeking effective prevention strategies, and comparing inpatient fall rates can serve as a benchmark for quality improvement and hospital performance.
To improve the comparability of performance between hospitals, adjustments for patient-related fall risk factors that are not modifiable by care are recommended. These non-modifiable risk factors include advanced age, history of falls, cognitive impairment, the use of psychotropic medication, and impaired gait, balance, or mobility. Thereafter, the remaining variability in risk-adjusted fall rates can be attributed to differences in the quality of care provided by a hospital.
Research on risk-adjusted fall rates and their impact on hospital comparisons is currently limited. However, a study conducted in Swiss acute care hospitals in 2017, 2018, and 2019 found an inpatient fall rate of 3.4% across all hospitals, with university hospitals having the highest fall rates, followed by general hospitals and specialized clinics. The inpatient fall rates per hospital varied significantly, ranging from 0.0% to 11.2%.
To be considered a high-reliability organization, hospitals must analyze falls by type and link interventions to the type of fall at all levels: organization, unit, and patient care. Once systems for fall rate tracking and internal comparison are developed, hospitals can identify trends and compare rates with similar populations and national databases. Additionally, hospitals should implement multifactorial interventions to protect vulnerable patients, with strategies advised by relevant authorities.
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Fall-related injuries and their consequences
Falls are a major public health problem, resulting in fatal and non-fatal injuries. While most fall-related injuries are non-fatal, an estimated 684,000 fatal falls occur annually worldwide, making it the second leading cause of unintentional injury death. Older adults are at the highest risk of death or serious injury from falls, with the risk increasing with age. Common injuries from falls include bruises, hip fractures, and head trauma, with falls being the leading cause of traumatic brain injuries. In the United States, 20-30% of older adults who fall suffer moderate to severe injuries.
Inpatient falls have significant physical and economic consequences for both patients and medical organizations. Patients may experience increased injury and mortality rates, decreased quality of life, and long-term disabilities. Medical organizations face extended hospital stays, higher medical care costs, and potential litigation. Fall-related injuries also result in substantial financial costs, with the average health system cost per fall injury varying across countries.
Hospitals employ various guidelines and strategies to prevent falls and reduce the risk of injuries. Identifying patients at high risk of falling and implementing appropriate fall prevention strategies are crucial aspects of these guidelines. However, the effectiveness of specific fall prevention programs has been mixed, and a ubiquitous fall-injury prevention strategy for hospitalized patients has not yet been identified.
To improve patient safety and quality, hospitals can analyze falls by type and link interventions to the type of fall at the organizational, unit, and patient care levels. This includes targeting risks for physical injury and implementing multifactorial interventions to protect vulnerable patients. Hospitals can also compare their fall rates with similar populations, such as acute care units comparing with other acute care units. Additionally, hospitals can participate in voluntary programs like the American Nurses Association's National Database of Nursing Quality Indicators (ANA-NDNQI) to view their fall and injury rates relative to other hospitals.
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Frequently asked questions
To compare fall incidents at hospitals, it is important to consider the following:
- Patient-related fall risk factors that are not modifiable by care, such as advanced age, history of falls, cognitive impairment, and use of psychotropic medication.
- The type of fall, including preventable and unpreventable falls.
- The effectiveness of interventions, such as the use of fall risk prediction tools, and the impact on fall rates.
- The quality of care provided by the hospital, including the implementation of fall prevention strategies and patient education.
There are several challenges when comparing fall incidents across hospitals:
- Limited research and inconsistent findings on patient-related fall risk factors, such as the impact of male sex as a risk factor.
- Lack of universally applicable fall risk models and standardised fall risk screening tools.
- Variations in guidelines and approaches to fall prevention across hospitals, making it difficult to determine the "right approach".
Comparing fall incidents at hospitals can serve as a benchmark for quality improvement and help identify trends. It can also help hospitals:
- Evaluate the effectiveness of interventions and fall prevention strategies.
- Identify high-risk patients and implement targeted measures to reduce fall risk.
- Improve patient safety and enhance patient care.
- Shorten hospital stays and reduce associated costs.
