Longitudinal Evaluation of Johns Hopkins Fall Risk Assessment Tool and Nurses' Experience

Hur, Eun Young; Jin, Yinji; Jin, Taixian; Lee, Sun-Mi

doi:10.1097/ncq.0000000000000235

Cited by 12 publications

(31 citation statements)

References 33 publications

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“…The JHFRAT has relatively detailed items and scoring system (Klinkenberg & Potter, 2017); therefore, nursing skills and clinical experience could result in the underestimated fall risk. However, the re‐measured score by the JHFRAT showed positive association with falls, which is consistent with the result obtained from a previous study (Hur et al, 2017). It is expected to complement daily re‐measurements.…”

Section: Discussionsupporting

confidence: 92%

“…Fall prediction by AUC was 0.798, which was the best result in the re‐measured total scores of JHFRAT. This result was similar to that of a previous study conducted by Hur et al (2017), which reported that the fall prediction of the JHFRAT was the lowest for initial scores and the highest for re‐measured scores, and the results were reported based on a 14‐point cut‐off score. However, Kang and Song (2015) reported AUC values of 0.806 for MFS and 0.656 for JHFRAT.…”

Section: Discussionsupporting

confidence: 91%

“…The high‐risk group can be classified by the sum of the measured item scores, and the direct high‐risk group, identified using MFS, can be classified by specific items without item measurements and is assigned the highest score of 125. The direct high‐risk group of JHFRAT was assigned the highest score of 35, and the direct low‐risk group was assigned the lowest score of 5 for statistical analysis (Hur et al, 2017; Kim et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

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Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting

Kim

Choi

Cho

et al. 2021

Journal of Clinical Nursing

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Aims and Objectives:To evaluate the measured fall risk score that more accurately reflects the changeable conditions in acute care settings, and to efficiently evaluate the association between falls and fall risk score. Background:The Morse Fall Scale (MFS) is a well-known easy-to-use tool, while the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) consists of items with high specificity. Evaluating suitable fall-risk assessment tools to measure these changeable conditions may contribute to preventing falls in acute care settings. Design:Retrospective case-control study using the STROBE checklist. Methods:In an acute care setting (708-bedded university hospital with a regional emergency medical centre), the non-fall group was adjusted to fall group using propensity score matching. According to the fall rate of 3-5%, non-fall groups for each tool were selected (1386 and 1947) from the before adjusted data, and the fall groups included 42 and 59. The applied covariates were individual characteristics that ordinarily changed such as age, gender, diagnostic department and hospitalisation period.The adjusted data were analysed using generalised estimating equations and mixed effect model. Results:After adjustment, the fall group measured using the JHFRAT had a significantly higher difference between the initial and re-measured total score than the non-fall group. The JHFRAT, especially with the re-measured score, had a higher AUC value for predicting falls than the MFS. MFS's sensitivity was 85.7%, and specificity was 58.8% at 50 points; for JHFRAT, these were 67.8% and 80.2% at 14 points, respectively. These cut-off points were used to evaluate validity during tool development and are commonly used as reference scores.Conclusions: JHFRAT more accurately reflects acute changeable conditions related to fall risk measurements after admission.Relevance to clinical practice: JHFRAT may be useful for effective fall prevention activities in acute care settings.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Section: Methodsmentioning

confidence: 99%

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Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting

Kim

Choi

Cho

et al. 2021

Journal of Clinical Nursing

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“…Based on their scores, the JHFRAT classified patients into low‐ (0‐5 points), moderate‐ (6‐13 points), and high‐risk (>13 points) groups. JHFRAT has been shown to be a good predictor of fall risk in many studies and has been recognized by scholars worldwide (Ariza‐Zafra et al., 2020 ; Hur et al., 2017 ; Klinkenberg & Potter, 2017 ; Luo et al., 2020 ; Poe et al., 2018 ). We applied the risk group score to tertiary prevention in public health.…”

Section: Resultsmentioning

confidence: 99%

Systematic review for the prevention and management of falls and fear of falling in patients with Parkinson's disease

et al. 2022

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Objective To synthesize recent empirical evidence for the prevention and management of falls and fear of falling in patients with Parkinson's disease (PD). Data source Database from PubMed, Cochrane Library, and EMBASE. Study design Systematic review. Data collection We searched the PubMed, Cochrane Library, and EMBASE databases for studies published from inception to February 27, 2021. Inclusion criteria were nonreview articles on prevention and management measures related to falls and fall prevention in Parkinson's disease patients. Principal findings We selected 45 articles and conducted in‐depth research and discussion. According to the causes of falls in PD patients, they were divided into five directions, namely physical status, pre‐existing conditions, environment, medical care, and cognition. In the cognitive domain, we focused on the fear of falling. On the above basis, we constructed a fall prevention model, which is a tertiary prevention health care network, based on The Johns Hopkins Fall Risk Assessment Tool to provide ideas for the prevention and management of falling and fear of falling in PD patients in clinical practice Conclusions Falls and fear of falls in patients with Parkinson's disease can be reduced by effective clinical prevention and management. Future studies are needed to explore the efficacy of treatment and prevention of falls and fear of falls.

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“…In the past literature, most researchers used different assessment methods to assess the risk of falling [ 5 – 7 ], for example, DGI assessment scale, Berg balance scale, etc., to evaluate the balance of the individual, and then to further reflect the risk of falling. The higher the score, the better the balance and the lower the risk of falling.…”

Section: Introductionmentioning

confidence: 99%

Clinical Intervention Effect of a Predictive Model Constructed Based on Risk Factors for Falls in Elderly Patients during Hospitalization

Zhou

2022

Computational and Mathematical Methods in Medicine

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Falls in elderly patients are an important cause of fractures, functional impairment, and mortality. In this paper, a questionnaire was used to collect information on fall history, balance function and sensory function from patients over 65 years of age. In the analysis, the presence or absence of falls was used as a factor, and a corresponding prediction model was constructed using methods such as univariate analysis and regression analysis. This survey found that in the past year, 60% of the patients had fallen, 16.67% had one fall, 33.33% had two falls, and 50% had three or more falls; model specificity is 61.54%, the sensitivity is 71.43%, and the misjudgment is 38.46%. The model has good specificity and sensitivity and a small misjudgment rate; so, the model is more reasonable. This paper selects several sensitivity indices that have a certain impact on the risk of falling and makes a satisfactory forecast, which can provide a theoretical basis for the prevention of the risk of falls in elderly patients during hospitalization.

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Longitudinal Evaluation of Johns Hopkins Fall Risk Assessment Tool and Nurses' Experience

Cited by 12 publications

References 33 publications

Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting

Validity of the Morse Fall Scale and the Johns Hopkins Fall Risk Assessment Tool for fall risk assessment in an acute care setting

Systematic review for the prevention and management of falls and fear of falling in patients with Parkinson's disease

Clinical Intervention Effect of a Predictive Model Constructed Based on Risk Factors for Falls in Elderly Patients during Hospitalization

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