The Logistic Regression Model Was Used For Determine Fall Rates During A Hospitalization Essay

A patient who is admitted to a facility may be alert, oriented, and independent in ambulation. Add on intravenous (IV) tubing attached to a pole, a telemetry monitor, a foley catheter, and new medications for the patient. This patient now has fall risk factors. The purpose of this paper is to describe and evaluate change in preventing falls in the hospital setting.

During hospitalizations, falls are amongst the highest preventable consistent adverse events. Preventing such undesirable events, enhances patient overall experience, as well as increased trust in the health care professional team (Fragata, 2011). The importance of fall prevention lies with the many serious unfavorable health outcomes it can pose on the patient. Falls have the potential increase length of hospital stay, limit mobility, independence, but can ultimately lead to health deterioration, including death. Worldwide, falls are the second leading cause of accidental death. In addition to the life-threatening health and safety risks falls have to the patient, it also as a financial impact,

Patient falls in hospitals are a critical problem and are used as a standard metric of nursing care quality. According to the Joint Commission, thousands of patients fall in hospitals each year. Approximately 30-50% of falls result in injuries and prolonged hospital stays. Any patient in a hospital is at risk for falling and certain measures should be in place to prevent this. Preventing falls and injuries are not only important for the patient, but also for their families, the hospital, health care team, and insurance companies. It is estimated the average cost of a hospital admission due to a fall is $20,000 and by 2030, an estimated $54 billion will be spent on health care costs due to falls. The purpose of this paper is to explore the risk factors of falls in hospitals and interventions used to combat this problem.

Problem: Patient falls have long been a common and serious problem in hospitals across the nation, causing

Falls are a great health concern for hospitalized patients since it has been ranked the

The aim of this study was to determine whether the nurse on the acute hospital floor missing nursing care interventions leads to a greater number of patient falls, using actual fall rates gathered from the study hospitals and controlling for nurse staffing (hours per patient day) levels. The related research questions were as follows: (1) Do nurse staffing levels predict patient falls? (2) Does missed nursing care mediate the effect of staffing levels on patient falls?

Capan, K., & Lynch, B. (2007). Reports from the field: patient safety. a hospital fall assessment and intervention project. Journal of Clinical Outcomes Management: JCOM, 14(3), 155-160.

In the healthcare system, Core Measure sets are used to measure quality care. It consists of pneumonia, heart attack, immunizations, emergency department, sepsis, for infection prevention, and others. Evidence-based treatments are used to prevent occurrences using structures, processes, and outcomes. In nursing, they have adopted a similar method of performance measures, known as nursing-sensitive indicators. It includes falls, and this indicator is implemented in each unit of the hospital and managed by the manager and educator along with others like CAUTI and CALBSI. According to the American Hospital Association article (2015) “Falls with Injury,” Patient falls-an unplanned descent to the floor with or without injury to the patient affects between 700,000 and 1,000,000 patients each year.”

If there is a fall with injury, the manager has the ability to go back and check how long the call light was on prior to a fall. However, this information is not used to prevent and emphasize the relationship between the length of time a call light is on and the rate of fall. Most nurses and patient care technicians are not aware that the manager can back-track the call light and find out this information. To measure the rate of falls to the length of time a call light is answered, the nurse working on the project choose the histogram. This illustrates the length of time in the Y axis and the rate of falls in the X axis during the period of study (time frame). The histogram itself will include a control group, average answers, and delay answers to call light. This example was imported and modified from a previous study done comparing the numbers of call lights and nursing rounds by (Meade et al. 2006).

Healthcare organizations rely on incident reports for counting the frequency of falls and collecting fall-related data (Quigley, Neily, Watson, Wright, & Strobel, 2017). When a fall occurs in a healthcare organization, an incident report is completed to record the occurrence and circumstances surrounding a fall (Quigley, Neily, Watson, Wright, & Strobel, 2017). The definition of a fall is a loss of upright position (Quigley, Neily, Watson, Wright, & Strobel, 2017). A sudden, uncontrolled, unintentional, non-purposeful, downward displacement of the body to the floor, ground, or on an object (Quigley, Neily, Watson, Wright, & Strobel, 2017). When a fall occurs in a healthcare organization, an incident report is completed to record the occurrence and circumstances surrounding a fall (Quigley, Neily, Watson, Wright, & Strobel, 2017). The data might include time of day, location, activity, vital signs, and incontinence (Quigley, Neily, Watson, Wright, & Strobel, 2017). From the analysis of the data, one can determine the type of fall, such as accidental, anticipated physiological, and unanticipated physiological fall (Quigley, Neily, Watson, Wright, & Strobel, 2017). Along with the severity of the injury, minor, moderate, major, or severe, as well as to identify overall patterns and trends surrounding fall occurrence (Quigley,

The following research question was addressed: What is the effect of falls in the older adults while hospitalized? CINAHL Complete and Google scholar databases were used to search for relevant quantitative research articles. CINAHL Complete was searched using words like “falls in older adults while inpatient”, “impact of falls in older adults while hospitalized”, falls in older adults”, “and falls in the hospital amongst older adults“, ” fall impact in older adults while hospitalized”. Google scholar databases was searched using keywords such as “impact of falls in hospitalized older adults”, “Fall in the older adults during hospitalization”, “effects of fall on older adults while hospitalized”. Quantitative research article published in English, where any author is a nurse, and adult subjects were analyzed; dates of publications for all articles were limited to the years between 2011–2016. The University of Texas at Arlington’s library site titled finding quantitative and qualitative research was used to evaluate the qualities of the research article to ensure quantitative articles were utilized. Research articles that were utilized were those that involve interventions focused on effects of falls in the older adults population while hospitalized. Multifactorial fall prevention programs, environmental, educational

Fall risk assessments tools, which help to identify those patients at risk of falling, play a vital role in reducing the number of falls. The basis for this assessment is that if patients at high fall risk can be

A fall can make wide spread consequences on the health service or can be affected seriously by the increased health care utilization. Among the fallers approximately 30% of falls result in physical injury leading to extensive hospitalization with significant hospital expenses (Tzeng & Yin 2010). Preventive care phases can support health services to regulate the spare expenditure to a greater extend. A fall in hospital consequently affects the nursing staff, which lead to impaired job satisfaction, additional work load and startling time consume. As the front line of care, nurses can prevent falls and reduce fall injury rates in acute care unit with available resources (Dykes et al. 2013). This literature review aims to assess the efficiency of planned interventions to reduce the incidence of falls in acute medical units. The discussions of the main findings of the review as well as the recommendations for further research are revealed to conclude this study.

If patient safety is the most important issue in Health Care facilities then how come hospital inpatient falls continue to be the most reported of all accidental falls (Tzeng & Yin, 2009)? Throughout the years, hospitals continue to make changes to decrease the risk of accidents and increase the quality of patient safety. With research studies and improvements made, patient falls still hold the largest portion of reported incidents in hospitals (Tzeng, & Yin, 2008). According to Tzeng & Yin (2008), “fall prevention programs apparently do not effectively reduce inpatient fall rates because of human factors and ergonomics in a hospital environment (p.179, para. 2). The two studies reviewed in this paper were performed with the hopes of

Internet Citation: Tool 3H: Morse Fall Scale for Identifying Fall Risk Factors. Content last reviewed January 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/professionals/systems/hospital/fallpxtoolkit/fallpxtk-tool3h.html