&lt;p&gt;The Stay Independent Brochure as a Screening Evaluation for Fall Risk in an Elderly Thai Population&lt;/p&gt;

Loonlawong, Sriprapa; Limroongreungrat, Weerawat; Jiamjarasrangsi, Wiroj

doi:10.2147/cia.s233414

Cited by 18 publications

(33 citation statements)

References 21 publications

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“…The self-rated FRQ had moderately strong correlation with the performance-based tests, including BBS, TUG test, and 5TSTS test (|r| ranging from 0.535 to 0.690). The previous study that evaluated the validity of another Thai-translated self-rated FRQ in community-dwelling older Thai adults found only fair correlation between their self-rated FRQ and the BBS and TUG (|r| ranging from 0.330 to 0.499) [32]. This disparity in the degree of correlation may be attributable to differences in the study populations (community-dwelling older adults versus osteoporotic patients).…”

Section: Discussionmentioning

confidence: 93%

Validity and reliability of the self-rated fall risk questionnaire in older adults with osteoporosis

Kitcharanant

Vanitcharoenkul

Unnanuntana

2020

BMC Musculoskelet Disord

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Background Several risk assessments have been developed to evaluate fall risk in older adults, but it has not been conclusively established which of these tools is most effective for assessing fall risk in this vulnerable population. Recently, the U.S. Centers for Disease Control and Prevention (CDC) developed the self-rated Fall Risk Questionnaire (self-rated FRQ), a 12-item questionnaire designed to screen older adults who are at risk of falling and has been widely used in many centers. This study aimed to determine the validity and reliability of the self-rated FRQ in older adults with osteoporosis. Methods This prospective study was conducted at the Department of Orthopedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand from December 2019 to March 2020. Sixty-eight men or postmenopausal women aged > 65 years who were diagnosed with osteoporosis either by bone mineral density T-score or by occurrence of fragility fracture were evaluated with the self-rated FRQ, the Thai falls risk assessment test (Thai-FRAT), the timed get-up-and-go test (TUG test), the Berg Balance Scale (BBS), and the 5 times sit-to-stand test (5TSTS test). Validity of the self-rated FRQ was assessed by evaluating the correlations (r) between the self-rated FRQ score and the scores from the other four assessments. Reliability of the self-rated FRQ was evaluated by measuring test-retest reliability and internal consistency. Results The self-rated FRQ was moderately strongly correlated with the BBS, TUG test, and 5TSTS test (r = 0.535 to 0.690; p < 0.001), and fairly correlated with the Thai-FRAT (r = 0.487; p < 0.001). Test-retest reliability of the self-rated FRQ was high, with a Kappa of 1. Internal consistency of the self-rated FRQ was excellent (Cronbach’s alpha: 0.936). Conclusions The self-rated FRQ was found to be a valid and reliable tool for evaluating fall risk in older adults with osteoporosis. Since assessment of fall risk requires a multifaceted measurement tool, the self-rated FRQ is an appropriate tool that can be integrated into the fall risk assessment algorithm in older adults with osteoporosis.

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Section: Discussionmentioning

confidence: 93%

Validity and reliability of the self-rated fall risk questionnaire in older adults with osteoporosis

Kitcharanant

Vanitcharoenkul

Unnanuntana

2020

BMC Musculoskelet Disord

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“…Standardized procedure including forward-backward translation and cultural adaption was utilized in this questionnaire development (Additional file 1 ) [ 26 ]. Its psychometric properties have been previously assessed [ 27 ]. Scoring relied on the number of “yes” answer to each question item, with a total score of 12.…”

Section: Methodsmentioning

confidence: 99%

Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly

Loonlawong

Limroongreungrat

Rattananupong

et al. 2022

BMC Med

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Background Fall risk screening using multiple methods was strongly advised as the initial step for preventing fall. Currently, there is only one such tool which was proposed by the U.S. Centers for Disease Control and Prevention (CDC) for use in its Stopping Elderly Accidents, Death & Injuries (STEADI) program. Its predictive validity outside the US context, however, has never been investigated. The purpose of this study was to determine the predictive validity (area under the receiver operating characteristic curve: AUC), sensitivity, and specificity of the two-step sequential fall-risk screening algorithm of the STEADI program for Thai elderly in the community. Methods A 1-year prospective cohort study was conducted during October 2018–December 2019. Study population consisted of 480 individuals aged 65 years or older living in Nakhon Ratchasima Province, Thailand. The fall risk screening algorithm composed of two serial steps. Step 1 is a screening by the clinician’s 3 key questions or the Thai Stay Independent brochure (Thai-SIB) 12 questions. Step 2 is a screening by 3 physical fitness testing tools including Time Up and Go test (TUG), 30-s Chair Stand, and 4-stage balance test. Participants were then followed for their fall incidents. Statistical analyses were conducted by using Cox proportional hazard model. The AUC, sensitivity, specificity, and other relevant predictive validity indices were then estimated. Results The average age of the participants was 73.3 ± 6.51 years (range 65–95 years), and 52.5% of them were female. The screening based on the clinician’s 3 key questions in Step 1 had a high AUC (0.845), with the sensitivity and specificity of 93.9% (95% CI 88.8, 92.7) and 75.0% (95% CI 70.0, 79.6), respectively. Appropriate risk categorization however differed slightly from the original STEADI program. Conclusions With some modification, the fall risk screening algorithm based on the STEADI program was applicable in Thai context.

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“…At baseline, participants completed a demographics questionnaire, Stay Independent Checklist, Falls Efficacy Scale, and the Quick-STEADI algorithm for fall risk screening. Existing literature demonstrate that the Stay Independent Checklist and the Falls Efficacy Scale yield strong predictive validity and thus, for the purpose of this study, we will be assessing the predictive validity of the Quick-STEADI algorithm ( 21 , 22 ).…”

Section: Methodsmentioning

confidence: 99%

Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults

Mielenz

Kannoth

Jia

et al. 2020

Front. Public Health

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Background and Objectives: Falls account for the highest proportion of preventable injury among older adults. Thus, the United States' Centers for Disease Control and Prevention (CDC) developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) algorithm to screen for fall risk. We referred to our STEADI algorithm adaptation as "Quick-STEADI" and compared the predictive abilities of the three-level (low, moderate, and high risk) and two-level (at-risk and not at-risk) Quick-STEADI algorithms. We additionally assessed the qualitative implementation of the Quick-STEADI algorithm in clinical settings. Research Design and Methods: We followed a prospective cohort (N = 200) of adults (65+ years) in the Bassett Healthcare Network (Cooperstown, NY) for 6 months in 2019. We conducted a generalized linear mixed model, adjusting for sociodemographic variables, to determine how baseline fall risk predicted subsequent daily falls. We plotted receiver operating characteristic (ROC) curves and measured the area under the curve (AUC) to determine the predictive ability of the Quick-STEADI algorithm. We identified a participant sample (N = 8) to gauge the experience of the screening process and a screener sample (N = 3) to evaluate the screening implementation. Results: For the three-level Quick-STEADI algorithm, participants at low and moderate risk for falls had a reduced likelihood of daily falls compared to those at high risk (−1.09, p = 0.04; −0.99, p = 0.04). For the two-level Quick-STEADI algorithm, participants not at risk for falls were not associated with a reduced likelihood of daily falls compared to those at risk (−0.89, p = 0.13). The discriminatory ability of the three-level and two-level Quick-STEADI algorithm demonstrated similar predictability of daily falls, based on AUC (0.653; 0.6570). Furthermore, participants and screeners found the Quick-STEADI algorithm to be efficient and viable. Discussion and Implications: The Quick-STEADI is a suitable, alternative fall risk screening algorithm. Qualitative assessments of the Quick-STEADI algorithm Mielenz et al. Two-Level vs. Three-Level Falls Screening demonstrated feasibility in integrating a falls screening program in a clinical setting. Future research should address the validation and the implementation of the Quick-STEADI algorithm in community health settings to determine if falls screening and prevention can be streamlined in these settings. This may increase engagement in fall prevention programs and decrease overall fall risk among older adults.

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<p>The Stay Independent Brochure as a Screening Evaluation for Fall Risk in an Elderly Thai Population</p>

Cited by 18 publications

References 21 publications

Validity and reliability of the self-rated fall risk questionnaire in older adults with osteoporosis

Validity and reliability of the self-rated fall risk questionnaire in older adults with osteoporosis

Predictive validity of the Stopping Elderly Accidents, Deaths & Injuries (STEADI) program fall risk screening algorithms among community-dwelling Thai elderly

Evaluating a Two-Level vs. Three-Level Fall Risk Screening Algorithm for Predicting Falls Among Older Adults

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