Falls risk screening tools intended to reduce fall risk among independent community‐dwelling older adults: A systematic review

Ong, Mei Fong; Soh, Kim Lam; Saimon, Rosalia; Myint, Wai Wai; Saloma, Pawi; Saidi, Hasni Idayu

doi:10.1111/ijn.13083

Cited by 2 publications

(3 citation statements)

References 38 publications

(138 reference statements)

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“…Previous publications have reported the risk factors for falls, including age, sex, balance impairment, dizziness upon standing, and cognitive impairment/ confusion. [16][17][18] Several studies have reported an increased risk of falls with advancing age. 16 In our study, we also observed a significant difference in the average age of the fall group compared with that of the non-fall group, suggesting that older age was a contributing factor.…”

Section: Discussionmentioning

confidence: 99%

“…[16][17][18] Several studies have reported an increased risk of falls with advancing age. 16 In our study, we also observed a significant difference in the average age of the fall group compared with that of the non-fall group, suggesting that older age was a contributing factor. 17 Although falls can occur at any age, their frequency increases with age.…”

Section: Discussionmentioning

confidence: 99%

“…Hospital falls are multifactorial in nature. Previous publications have reported the risk factors for falls, including age, sex, balance impairment, dizziness upon standing, and cognitive impairment/confusion 16–18 . Several studies have reported an increased risk of falls with advancing age 16 .…”

Section: Discussionmentioning

confidence: 99%

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Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Hu,

Sun,

Lin

et al. 2024

The Kaohsiung J of Med Scie

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This retrospective study was conducted at a medical center in southern Taiwan to assess the accuracy of the Hendrich II Fall Risk Model (HIIFRM) in predicting falls. Sensitivity, specificity, accuracy, and optimal cutoff points were analyzed using receiver operating characteristic (ROC) curves. Data analysis was conducted using information from the electronic medical record and patient safety reporting systems, capturing 303 fall events and 47,146 non‐fall events. Results revealed that at the standard threshold of HIIFRM score ≥5, the median score in the fall group was significantly higher than in the non‐fall group. The top three units with HIIFRM scores exceeding 5 were the internal medicine (50.6%), surgical (26.5%), and oncology wards (14.1%), indicating a higher risk of falls in these areas. ROC analysis showed an HIIFRM sensitivity of 29.5% and specificity of 86.3%. The area under the curve (AUC) was 0.57, indicating limited discriminative ability in predicting falls. At a lower cutoff score (≥2), the AUC was 0.75 (95% confidence interval: 0.666–0.706; p < 0.0001), suggesting acceptable discriminative ability in predicting falls, with an additional identification of 101 fall events. This study emphasizes the importance of selecting an appropriate cutoff score when using the HIIFRM as a fall risk assessment tool. The findings have implications for fall prevention strategies and patient care in clinical settings, potentially leading to improved outcomes and patient safety.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Hu,

Sun,

Lin

et al. 2024

The Kaohsiung J of Med Scie

View full text Add to dashboard Cite

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Predictors of fall protection motivation among older adults in rural communities in a middle‐income country: A cross‐sectional study using the Protection Motivation Theory

Ong,

Soh,

Saimon

et al. 2024

Journal of Advanced Nursing

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AimsTo evaluate factors associated with fall protection motivation to engage in fall preventive behaviour among rural community‐dwelling older adults aged 55 and above using the protection motivation theory scale.DesignA cross‐sectional study.MethodsThe study was conducted in a healthcare clinic in Malaysia, using multistage random sampling from November 2021 to January 2022. Three hundred seventy‐five older adults aged 55 and older were included in the final analysis. There were 31 items in the final PMT scale. The analysis was performed within the whole population and grouped into ‘faller’ and ‘non‐faller’, employing IBM SPSS version 26.0 for descriptive, independent t‐test, chi‐square, bivariate correlation and linear regressions.ResultsA total of 375 older participants were included in the study. Fallers (n = 82) and non‐fallers (n = 293) show statistically significant differences in the characteristics of ethnicity, assistive device users, self‐rating of intention and participation in previous fall prevention programmes. The multiple linear regression model revealed fear, coping appraisal and an interaction effect of fear with coping appraisal predicting fall protection motivation among older adults in rural communities.ConclusionFindings from this study demonstrated that coping appraisal and fear predict the protection motivation of older adults in rural communities. Older adults without a history of falls and attaining higher education had better responses in coping appraisal, contributing to a reduction in perceived rewards and improving protection motivation. Conversely, older adults from lower education backgrounds tend to have higher non‐preventive behaviours, leading to a decline in fall protection motivation.Implications for the profession and/or patient careThese results contribute important information to nurses working with older adults with inadequate health literacy in rural communities, especially when planning and designing fall prevention interventions. The findings would benefit all nurses, healthcare providers, researchers and academicians who provide care for older adults.Patient or Public ContributionParticipants were briefed about the study, and their consent was obtained. They were only required to answer the questionnaire through interviews. Older individuals aged fifty‐five and above in rural communities at the healthcare clinic who could read, write or understand Malay or English were included. Those who were suffering from mental health problems and refused to participate in the study were excluded from the study. Their personal information remained classified and not recorded in the database during the data entry or analysis.

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Falls risk screening tools intended to reduce fall risk among independent community‐dwelling older adults: A systematic review

Cited by 2 publications

References 38 publications

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Predictors of fall protection motivation among older adults in rural communities in a middle‐income country: A cross‐sectional study using the Protection Motivation Theory

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