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PICOT Question Development: Stroke-Related Patient Falls
Hospitalized stroke patients are at risk for falls, which are challenging in healthcare settings and result in increased morbidity, length of hospital stay, and healthcare costs (Djurovic et al., 2021). This paper investigates the role of bed alarms and fall prevention protocols in reducing fall-from-bed incidence in stroke patients as compared to standard care without alarms. The aim is to evaluate evidence-based fall prevention strategies in this population and determine whether bed alarms and active fall prevention are associated with improved patient outcomes in the first 30 days following admission.
Problem Statement
Stroke patients often experience various physical and cognitive impairments, making them highly susceptible to falls. Falls are one of the most common adverse events in hospitalized patients, as reported by the Agency for Healthcare Research and Quality (AHRQ) (2021), and are of most significant concern in stroke survivors due to muscle weakness, impaired balance, and altered mental status (Dykes et al., 2024). Falls could lead to serious complications such as fractures, head trauma, and further neurological degeneration, resulting in patient morbidity and increasing use of hospital resources.
While hospitals have implemented general fall prevention protocols, stroke patients continue to experience falls. Routine safety care includes bed rails, nonslip flooring, and staff education, but such interventions only rarely protect the stroke patient, who sometimes tries to mobilize without support (Hill, 2023). A potential solution is provided by real-time alerts to healthcare providers to allow timely intervention and reduction of fall-related injuries by bed alarms and structured protocols for fall prevention. Targeted interventions aimed at populations at high risk of any or several adverse outcomes, including stroke patients, may help improve safety outcomes. Given this importance, the need for a more comprehensive fall prevention strategy, including technological and evidence-based interventions, is even greater.
Improved PICOT Question
In hospitalized stroke patients (P), how does the use of bed alarms and fall prevention protocols (I) compared to standard care without alarms (C) affect the incidence of falls from bed (O) within the first 30 days of admission (T)?
Population of Interest
This study focuses on hospitalized stroke patients at high risk for falls that are associated with physical and cognitive impairments in the population. Commonly, stroke patients present with hemiparesis, gait disturbances, visual deficits, and proprioception, which then causes an increased risk of falling (Djurovic et al., 2021). Falls also tend to be associated with cognitive changes such as poststroke delirium, confusion, or other changes in the brain. In particular, Li et al. (2024) claim that stroke impairments are very complex, so specialized fall prevention strategies for stroke patients are important in promoting patient safety and reducing adverse outcomes.
Intervention of Interest
The intervention of interest is using bed alarms and comprehensive fall prevention protocols. A bed alarm is an early warning system that would notify the healthcare provider when the patient tries to disembark from the bed without the healthcare provider’s supervision (Takase, 2022). These alarms are beneficial for stroke patients with insight or cognitive issues that preclude them from reaching out to help themselves. Fall prevention protocols include intervention strategies for routine risk assessment, patient and family education, scheduled toileting, and mobility assistance. These interventions aim to proactively reduce patient and environmental fall risks.
Evidence Supporting the Intervention
In several studies, bed alarm systems and fall prevention protocols have been studied for effectiveness in reducing fall rates in hospitalized patients. A systematic review by Cortés et al. (2021) notes that bed alarms decrease fall incidence among at-risk patients, including those with neurological disorders, using a structured fall prevention program. In a follow-up study, Turner et al. (2022) explain that early mobility assessments and bedside technology can enhance patient safety outcomes. In addition, Weber et al. (2024) confirmed that fall rates in hospitals where fall prevention strategies had been introduced were reduced by nearly 30% by targeting high-risk patients using bed alarms. Therefore, stroke care units may benefit from combining bed alarms with structured clinical practices to prevent falls PICOT Question Development: Stroke-Related Patient Falls .
Comparison of Interest
The comparison group consists of stroke patients who receive standard care without bed alarms. Standard prevention procedures comprise routine risk assessment, education to patients and families, scheduled toileting, and mobility assistance. These measures offer a means to prevent falls in stroke patients with severe impairment of mobility or mental function but are not adequate to prevent falls in such patients. The difference in fall rates between the intervention and comparison groups will be used to evaluate enhanced fall prevention strategies.
Outcome of Interest
The primary outcome of interest includes the incidence of falls from bed in hospitalized stroke patients. This outcome will be measured by recording a patient’s fall in the first 30 days of admission from incident reports and electronic health records. Fall incidence has been established as a valid and reliable clinical outcome measure in patient safety research (Heikkilä et al., 2023). Apart from fall rates, secondary outcomes like injuries related to falls, hospital length of stay, and patient satisfaction with safety measures can also be evaluated to assess the intervention’s effectiveness fully.
Timeframe
This study spans 30 days for the implementation phase, roughly the acute hospitalization period for most stroke patients. The timeframe allows for adequate assessment of the impact of bed alarms and fall prevention protocols on fall rates in assessments for variability in patient’s length of stay. Pre-intervention and post-intervention fall incidence rates will be collected to determine the effectiveness of the intervention.
Conclusion
Despite intensive efforts at fall prevention, hospitalized stroke patients still suffer a very high rate of falls, resulting in severe complications and additional burdens on healthcare. Because of the high risk of falls among stroke patients, the evidence of such interventions as bed alarms and comprehensive fall prevention programs can help to decrease falls, increase patient safety, and improve outcomes. Such interventions have been successful from a scholarly perspective, and targeted fall prevention measures in high-risk populations are shown to be a necessity. Future research should further develop new strategies for maximizing fall prevention in stroke care units to benefit patients and reduce rates of such preventable injuries.
References
Agency for Healthcare Research and Quality. (2021, February). Fall tips: A patient-centered fall prevention toolkit . Agency for Healthcare Research and Quality. https://www.ahrq.gov/patient-safety/settings/hospital/fall-tips/index.html
Cortés, O. L., Piñeros, H., Aya, P. A., Sarmiento, J., & Arévalo, I. (2021). Systematic review and meta-analysis of clinical trials. Medicine , 100 (41), e27467. https://doi.org/10.1097/md.0000000000027467
Djurovic, O., Mihaljevic, O., Radovanovic, S., Kostic, S., Vukicevic, M., Brkic, B. G., Stankovic, S., Radulovic, D., Vukomanovic, I. S., & Radevic, S. R. (2021). Risk factors related to falling in patients after stroke. Iranian Journal of Public Health , 50 (9). https://doi.org/10.18502/ijph.v50i9.7056
Dykes, P. C., Sousane, Z., & Mossburg, S. E. (2024, December 18). The ongoing journey to prevent patient falls . The Ongoing Journey to Prevent Patient Falls. https://psnet.ahrq.gov/perspective/ongoing-journey-prevent-patient-falls
Heikkilä, A., Lehtonen, L., & Junttila, K. (2023). Consequences of inpatient falls in acute care—A retrospective register study. Journal of Patient Safety , 20 (5), 10.1097/PTS.0000000000001230. https://doi.org/10.1097/PTS.0000000000001230
Hill, K. (2023). Preventing falls through service innovations: Institutional and hospital settings. Oxford Research Encyclopedia of Global Public Health . https://doi.org/10.1093/acrefore/9780190632366.013.471
Li, X., He, Y., Wang, D., & Rezaei, M. J. (2024). Stroke rehabilitation: From diagnosis to therapy. Frontiers in Neurology , 15 (15). https://doi.org/10.3389/fneur.2024.1402729
Takase, M. (2022). Falls as the result of the interplay between nurses, patient, and the environment: Using text-mining to uncover how and why falls happen. International Journal of Nursing Sciences , 10 (1), 30–37. https://doi.org/10.1016/j.ijnss.2022.12.003
Turner, K., Staggs, V. S., Potter, C., Cramer, E., Shorr, R. I., & Mion, L. C. (2022). Fall prevention practices and implementation strategies. Journal of Patient Safety , 18 (1). https://doi.org/10.1097/pts.0000000000000758
Weber, K., Lauener, S. K., Deschodt, M., Grossmann, F., & Schwendimann, R. (2024). Patient involvement in fall prevention in an acute care hospital: A pilot study. International Journal of Nursing Sciences . https://doi.org/10.1016/j.ijnss.2024.08.012 PICOT Question Development: Stroke-Related Patient Falls