The Evidence Based Assessment Of Morse Fall Scale : Risk Assessment

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.

The following paper is a written critique of the following research article “Improving the evaluation of risk of fall through clinical supervision: an evidence” (Cruza, Carvalhoa, Lopesb, 2016). The purpose of this critique is to analyze, evaluate, and review each section of the above stated quantitative research article. This quantitative, descriptive and correlational study focuses on improving patient safety and quality of nursing care by improving the evaluation of a patients' fall risk using the Morse Fall Scale (MFS) assessment tool in practice under the implementation of a clinical supervision model. (CS)

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.

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

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.”

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,

George P. Forrest, (2012) A comparison of the functional independence measure and Morse Fall Scale as tools to assess risk of fall on an Inpatient Rehabilitation

The functional independence measure (FIM) was utilized to identify patients who are at a high risk for fall and found that patients who fell had a lower admission and discharge FIM scores than the ones who had not fallen; they also found that those with lower FIM scores were stroke rehabilitation patient and had the highest rate of fall. FIM is defined as a measurement of disability specific to patients in rehabilitation; it has has 18 categories broken down into motor and cognitive components with each category scored on a scale of 1 for total dependence to 7 for total independence. The authors of the research article determined that FIM score have significance in predicting patients who are at a highest risk of falls and is more appropriate to aid in implementing interventions. With the above discovery, Salamon, Victory & Bobay (2012) undertook retrospective pilot study to compare the Morse Fall Scale scores and components of the FIM. The result from the pilot study yielded several important correlations between the Morse Fall Scale and the FIM scores. The study revealed that patient with cognitive impairments, and those with decreased ability to expressed needs are more likely to fall and no correlation with comprehension was found with the

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

Risk factors for falls are categorized by intrinsic or extrinsic (Tzeng, & Yin, 2009). According to Tzeng and Yin (2008), intrinsic factors, referring to the patient themselves, are related to their health status and possibly associated with age-related changes: previous falls, reduced vision, unsteady gait, musculoskeletal system deficits, mental status deficits, acute illness, and chronic illness. Extrinsic factors are involved in the patient’s environment, including medications, lack of support equipment, furniture, bathroom designs, small patient rooms, poor lighting, and improper use of and inadequate assistive devices. Tzeng & Yin (2008; 2009) focused on the extrinsic risk factors for the basis of their studies.

The facility I work at; patient safety is a priority. Part of the admission assessment, we have recently started using the Morse Fall Scale (networkofcare.org). According to the website, “A large majority of nurses (82.9%) rate the scale as “quick and easy to use,” and 54% estimated that it took less than 3 minutes to rate a patient.” Morse Fall Scale Assessment is a simple method to identify patients at risk while in the hospital. The evaluation is based on variables such as: history of falling, secondary to diagnosis, gait, ambulatory aid, IV or heparin lock, and mental status. If a patient is known high risk to fall, some implementations has been put into place are responding urgently to call lights, keeping every needed item within patient’s

The FGA cutoff score was set at 18, meaning that if a patient scored an 18 or lower in functional gait assessment, they were four times more likely to fall than patients who scored over an 18. This cutoff score was chosen for its accuracy in sensitivity (80.0%) and specificity (80.6%). There were 43 patients who scored an 18 or under with 25 of those 43 patients experiencing an unexplained fall during the six month interval. This gave a positive predictive value of 58.1%. The other 78 patients scored over an 18 and 72 of them did not fall leading to a negative predictive value of

Falling is inevitable at some point in life, and although most of the time falls are not serious, some can be life-threatening. Falls are a danger to both physical and psychological well-being because they may diminish a person’s ability to maintain an active and independent lifestyle.1 There are many factors that place individuals at risk for falls such as age, muscle weakness, difficulty with balance or walking, psychological diagnosis, and several medical conditions.1,2 Approximately one-third of people over the age of 65 fall at least once a year.3 Individuals that are status post stroke are at an increased risk of falls, making falls assessment and prevention a common priority for clinicians treating this population.1,2 Therefore, to direct the experimental methods and build on a basis of previous literature on this topic, the search began using OneSearch, CINAHL, PubMed, and

The primary outcome for this study was self-reported recurrent falls in the previous twelve months which is categorized base on the participants’ response to the above two questions into: no fall, single fall, and recurrent falls.