World guidelines for falls prevention and management for older adults: a global initiative

Age and Ageing, Journal Year: 2022, Volume and Issue: 51(9)

Published: Sept. 1, 2022

falls and fall-related injuries are common in older adults, have negative effects on functional independence quality of life associated with increased morbidity, mortality health related costs. Current guidelines inconsistent, no up-to-date, globally applicable ones present.

Language: Английский

---

Artificial Intelligence and IoT in Elderly Fall Prevention: A Review

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(4), P. 4181 - 4198

Published: Jan. 4, 2024

Globally, the number of falls among elderly is rising, particularly those 60 and older. An important contributing element to these fact that people who live alone are not regularly supervised. A significant claims filed for injuries caused by in elderly, at times, result fatalities. Therefore, wellfounded practical e-health technologies critical elder care, individuals alone. One emerging rapid-growing technologies, such as artificial intelligence (AI), would be an excellent companion them continuously monitor their health condition prevent falls. This review article compares various research, surveys, studies, experiments conducted on fall prevention utilizing AI other Internet Things (IoT), sensor, radio detection ranging (RADAR), infrared (IR) radiation, hardware technologies. It has been identified real time long-term monitoring without human intervention, AI–IoT technology will best solution older adults.

Language: Английский

---

Evaluation of content validity and feasibility of the World Falls Guidelines’ three key questions to identify falls among older adult users of home care services in Norway

BMC Health Services Research, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 27, 2025

Falls among older adults (65 + years) is an important issue in municipal home care. Screening using the World Guidelines' three key questions (3KQ) recommended to identify at increased fall risk, but 3KQ has not been formally tested by healthcare practitioners (HCPs) working Norwegian The aim of this study was evaluate content validity and feasibility HCPs care services. Participants were 10 multidisciplinary low-threshold services Oslo, Norway. We evaluated through individual think-aloud interviews. Next, as follows: trained how use 3KQ. then screened during a six-week test period, took pocket-notes adults' answers. conducted two focus groups explore HCPs' experiences with analysed interview data reflexive thematic analysis. Content evaluation revealed that found easy understand, potentially timesaving. They experienced tool applicable users, it particularly useful new users. Still, emphasised necessity their training on best ask determine appropriate actions based users' responses. identified main themes from evaluation: (1) Promoting awareness action: helps put falls agenda care, (2) Obtaining reliable answers: integrating into daily practice important, (3) Unlocking insights: gateway supplementary information Most had risk according appears feasible for may be value who screen users Integrated enhance awareness, promote answers, provide decision-making. findings benefit managers services, other stakeholders implementing prevention guidelines primary Open Science Framework Identifier https://doi.org/10.17605/OSF.IO/2JFHV . Registered: 11th January 2023.

Language: Английский

---

Healthcare spending for non-fatal falls among older adults, USA

Injury Prevention, Journal Year: 2024, Volume and Issue: 30(4), P. 272 - 276

Published: July 19, 2024

The older adult (65+) population in the USA is increasing and with it number of medically treated falls. In 2015, healthcare spending attributable to falls was approximately US$50 billion. We aim update estimated medical expenditures non-fatal

Language: Английский

---

Validation of Self-application-based Malnutrition and Limited Mobility Screening Tools Compared with Standard Diagnostic Tools in Older Adults

Deleted Journal, Journal Year: 2025, Volume and Issue: 77(1), P. 29 - 38

Published: Jan. 1, 2025

Objective: To validate application screening tools against face-to-face standard (the Mini Nutritional Assessment (MNA) and Short Physical Performance Battery test (SPPB)) in older adults. Materials Methods: A mobile or tablet was developed based on user interfaces experiences. Outpatients aged 60 years over were tested with this tool. We used 2 questions from the WHO-ICOPE algorithm 3 STEADI to screen for at-risk malnutrition limited mobility, respectively. The MNA SPPB detect respectively, their validity. Results: study involved 187 participants, 16% of whom diagnosed by 18.7% had mobility according SPPB. sensitivity specificity tool 66.6% 96.1%, When BMI < 18.5 combined application, 90% 91%, For 94.2% 76.3%, majority participants rated easy understanding as «excellent» (65%) confidence ability use themselves “excellent” (70%). Conclusion: is an age-friendly, time-saving that can be when vdifficult good

Language: Английский

---

Updating STEADI for Primary Care: Recommendations From the American Geriatrics Society Workgroup

Journal of the American Geriatrics Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

ABSTRACT In 2012, the Centers for Disease Control and Prevention (CDC) released STEADI (Stopping Elderly Accidents, Deaths Injuries) toolkit which is based on 2011 American Geriatrics Society/British Society (AGS/BGS) fall prevention guideline. 2024, National Network of Public Health Institutes (NNPHI), via a Cooperative Award with CDC Department Human Services (HHS), invited AGS to recommend updates focus falls in primary care. An workgroup reviewed 2022/2024 publications held three outreach events stakeholders (448 participants) get feedback current materials draft recommendations focused Recommendations improving uptake included reframing why (alignment ambulation goals) how (engage all available interdisciplinary team members) addressing time limitations by prioritizing elements that can be done completing assessments across multiple visits. Screening using Three Key Questions first, only if positive, asking remaining Stay Independent questions. Assessment were limit scope some activities (e.g., consider specifically risk‐increasing drugs) while expanding others incorporating hearing bladder health assessments). Where choice intervention obvious from screening referral physical therapist questions points strength, mobility, or gait problem), an in‐office assessment may reasonably skipped. These could improve effectiveness ease implementation care help teams reframe as chronic condition deserving ongoing engagement, assessment, intervention, follow‐up.

Language: Английский

---

Older adult fall injuries and the usage of fall screener tools

Journal of Safety Research, Journal Year: 2025, Volume and Issue: 93, P. 177 - 184

Published: Feb. 24, 2025

Language: Английский

---

Does concern about falling predict future falls in older adults? A systematic review and meta-analysis.

Age and Ageing, Journal Year: 2025, Volume and Issue: 54(4)

Published: March 28, 2025

The 2022 World Falls Guidelines recommend assessing concerns (or 'fears') about falling in multifactorial fall risk assessments. However, the evidence base for this recommendation is limited. This review evaluated as an independent predictor of future falls, applying Bradford Hill criteria causality. Systematic and meta-analyses were conducted (PROSPERO registration ID: CRD42023387212). MEDLINE, CINAHL Plus, Web Science PsycINFO searched studies examining associations between baseline falls older adults (minimum 6-month follow-up). Meta-analyses examined falls. Risk bias was assessed using adapted Newcastle Ottawa Scale cohort studies, certainty rated with GRADE. About 53 comprising 75,076 participants, included. Meta-analysis showed significant association when Efficacy Scale-International to assess (full scale version, pooled OR = 1.03 [95% CI 1.02-1.05] per 1-point increase; short 1.08 1.05-1.11]). Significant also observed single-item measures (pooled 1.60 1.36-1.89] high vs. low concerns). In contrast, balance confidence (Activities-Specific Balance Confidence Scale) did not predict 0.97 0.93-1.01]). Despite 26 poor quality, consistent across different quality. overall moderate. Baseline concern a clear adults, supporting its inclusion Regular assessment falling, along targeted interventions, could help reduce adults.

Language: Английский

---

The use of the World Guidelines for Falls Prevention and Management’s risk stratification algorithm in predicting falls in The Irish Longitudinal Study on Ageing (TILDA)

Age and Ageing, Journal Year: 2023, Volume and Issue: 52(7)

Published: June 23, 2023

the aim of this study was to retrospectively operationalise World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy in TILDA determined its utility predicting population.participants aged ≥50 years were stratified as 'low risk', 'intermediate' or 'high risk' per WGFPM based their Wave 1 assessments. Groups compared number falls, people who experienced one more an injury when falling between 2 (approximately years).5,882 participants included study; 4,521, 42 1,309 classified low, intermediate high risk, respectively, 10 could not be categorised due missing data. At 2, 17.4%, 43.8% 40.5% low-, intermediate- high-risk groups reported having fallen, 7.1%, 18.8% 18.7%, sustained falling.the implementation assessment feasible successfully differentiated those at greater falling. low-risk group lack differences may related non-clinical nature sample, further other samples is warranted.

Language: Английский

---

Predicting future falls in older people using natural language processing of general practitioners’ clinical notes

Age and Ageing, Journal Year: 2023, Volume and Issue: 52(4)

Published: April 1, 2023

Abstract Background Falls in older people are common and morbid. Prediction models can help identifying individuals at higher fall risk. Electronic health records (EHR) offer an opportunity to develop automated prediction tools that may identify fall-prone lower clinical workload. However, existing primarily utilise structured EHR data neglect information unstructured data. Using machine learning natural language processing (NLP), we aimed examine the predictive performance provided by notes, their incremental over predict falls. Methods We used primary care of aged 65 or over. developed three logistic regression using least absolute shrinkage selection operator: one variables (Baseline), with topics extracted from notes (Topic-based) adding (Combi). Model was assessed terms discrimination area under receiver operating characteristic curve (AUC), calibration plots. 10-fold cross-validation validate approach. Results Data 35,357 were analysed, which 4,734 experienced Our NLP topic modelling technique discovered 151 notes. AUCs 95% confidence intervals Baseline, Topic-based Combi 0.709 (0.700–0.719), 0.685 (0.676–0.694) 0.718 (0.708–0.727), respectively. All showed good calibration. Conclusions Unstructured additional viable source improve for falls compared traditional models, but relevance remains limited.

Language: Английский

---