Predictive Value of the Morse Fall Scale

Bóriková, Ivana; Tomagová, Martina; Miertová, Michaela; Žiaková, Katarína

doi:10.15452/cejnm.2017.08.0006

Cited by 14 publications

(14 citation statements)

References 22 publications

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“…However, it is also worth mentioning that, despite the aforementioned advantages, these numerical tools have limitations. For example, a patient who was scored as not at risk of fall might fall accidentally (Bóriková et al, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…Morse Fall Scale (MFS) is by far one of the most commonly used tools across the world. The tool was developed by Janice M. Morse in 1989 by testing the tool among a dened population group comprising of medical surgical acute, long term, and rehabilitative care (Bóriková et al, 2017). History of fall in the last three months, secondary diagnosis, IV therapy, ambulatory aid, gait, and mental status were identied as the six elements of MFS as these increase the risk of fall in hospitalised patients (as cited by Yazdani & Hall, 2017).…”

Section: Resultsmentioning

confidence: 99%

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Population- Specific Fall Risk Assessment Tools for Adult Inpatients: A Systemised Literature Review

Padmanabhan

Chandrasekaran

2020

ijsr

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Fall is one of the most commonly reported adverse events from the hospitals and around one-third of them result in injury. A carefully tailored fall reduction program begins with the identification of the “at-risk” population. Commonly used adult fall risk assessment tools do not take into consideration the risk factors of some of the vulnerable patient populations. This paper provides a systemised literature review of the need and availability of population-specific risk assessment tools. One of the most commonly used tools - Morse Fall Scale- does not assess the effect of certain medications and population-specific risk factors. The Cleveland Clinic – Capone- Albert (CC-CA) Fall Risk Score is a tool that is specifically developed for cancer patients. Similarly, Obstetric Fall Risk Assessment Tool (OFRAS) helps in identifying the fall risk factors in perinatal women. Usage of such population-specific tools help in focused identification of risks, distinct implementation of interventions and thus, results in reducing the incidents of falls and injuries thereof.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Population- Specific Fall Risk Assessment Tools for Adult Inpatients: A Systemised Literature Review

Padmanabhan

Chandrasekaran

2020

ijsr

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“…In testing for the best predictive values of the MFS in various clinical environments, a cut-off of between 25 and a maximum of 55 is recommended by Morse. The prediction value of MFS changes depending on many factors (such as tested cut-off value, type of setting, size and age of the sample, individual patient factors, assessment frequency) and that is why this tool needs to be tested in the same setting at which it is intended to be used [13,22,[39][40][41].…”

Section: Discussionmentioning

confidence: 99%

“…This is why multifactorial assessment is emphasized. In order to identify fall risks and risk factors, it is necessary to introduce a system of standardized fall risk assessment as a part of a preventive programme in a facility [5,8,13,14].…”

Section: Introductionmentioning

confidence: 99%

The risk of falling among older adults in long-term care: screening by the Morse Fall Scale

Bóriková¹,

Žiaková²,

Tomagová³

et al. 2018

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To identify the incidence of key fall risk factors in groups of older adults in longterm care facilities and to find out which factors can be identified by the Morse Fall Scale (MFS) as significant in relation to high fall risks. Fall risk screening is the basis for efficient intervention planning. MFS is often recommended for fall risk detection even in long-term care settings. No tool for the prediction of fall risks has been tested in Slovakia so far. Methods: The design of this study is descriptive and correlated. Fall risk factors and fall risk screening (according to MFS) were assessed in 89 older adults in two longterm care facilities. The data were collected from July to October 2016. Results: The majority of monitored risk factors had a high incidence in the sample. The authors identified that a strong predictor of a fall is mainly the presence of a fall in the patient's clinical history. Statistically significant correlations were found between a history of falling, disorder of the gait and balance, use of ambulatory aids, mental disorder, falling during the study and a high fall risk according to MFS. Conclusion: This tool provides nurses with the information on the level of fall risk and specific risk factors. It also enables targeted planning of preventive and protective interventions. Despite the clinical efficiency of the tool it is still important to continue testing the prediction value of the tool in different areas of nursing practice in Slovakia.

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“…There is usually a list of items used to control the level and character of risk based on a combined score of several factors that are known to be related to risk of fall. These tools include the MFS (Scott et al, 2007), which, when correctly administered, has established psychometric characteristics (Bóriková et al, 2017) and provides valuable data for planning care according to fall risk (the total score). The items of the MFS, however, also identify individual risk profiles, which makes it possible to tailor interventions to specific risk factors (Morse, 2009; Centre for Studies in Aging & Health, 2010;Registered Nurses' Association of Ontario, 2011).…”

Section: Discussionmentioning

confidence: 99%

Pharmacotherapy as a fall risk factor

Bóriková¹,

Tomagová²,

Žiaková³

et al. 2018

Cent Eur J Nurs Midw

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Aim: To determine the correlation between pharmacotherapy and high risk of fall based on the Morse Fall Scale (MFS score ≥ 45) in acute and long-term care settings. Design: A quantitative cross-sectional descriptive correlation study. Methods: The study was conducted at a University Hospital in Martin (UHM) and a selected long-term care facility (LTC) in Martin (Slovakia) June-October 2016. The pharmacotherapeutic data were obtained from the health documentation of the respondents. The fall risk was assessed by using the MFS screening tool within 24-48 hours of admission to the facility. Results: For the group of UHM patients (n = 63), the mean MFS score for fall risk was high (60.6 ± 22.4), and the correlation (p = 0.030) between the number of medications administered in 24 hours and high risk of fall was significant. For the group of LTC patients (n = 89), the mean MFS score for fall risk was moderate (35.4 ± 15.9). The correlations were not significant. Conclusion:Pharmacotherapy is an important fall risk factor; therefore, it is necessary to determine it within the assessment of overall fall risk. The risk management of pharmacotherapy is an effective and important multifactorial intervention in programmes of fall prevention in acute and long-term care.

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Predictive Value of the Morse Fall Scale

Cited by 14 publications

References 22 publications

Population- Specific Fall Risk Assessment Tools for Adult Inpatients: A Systemised Literature Review

Population- Specific Fall Risk Assessment Tools for Adult Inpatients: A Systemised Literature Review

The risk of falling among older adults in long-term care: screening by the Morse Fall Scale

Pharmacotherapy as a fall risk factor

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