Healthcare Risk Management and Monitoring of patient falls in Italian National Service. The experience of a Local Health Authority.

Falls are a widespread concern in hospitals settings. In Italy, falls are the fourth frequent damage claim type after surgical, diagnostic and therapeutic error and 90% of falls are avoidable. The first necessary action for the prevention of falls consists in identifying the possible risk factors, in relation to the characteristics of the patient and those of the environment and the structure that hosts him, in terms of safety, organization and adequacy of the process welfare. In this work we wanted to evaluate the extent, frequency and characteristics of the phenomenon of falls in the population hospitalized at the Local Health Authority called "Roma 2", with the aim of analyzing the critical issues to allow the identification of possible preventive and improvement interventions as well as reducing the risk of falls.

Erratum: Exploring Communication about Fall Risk and Prevention between Internal Medicine Residents and Geriatric Patients: A Needs Assessment: Erratum.

[This corrects the article DOI: 10.14423/SMJ.0000000000001652.].

Improving Medication Management for Inpatients with a Secondary Diagnosis of Parkinson Disease.

ABSTRACT: Patients who have Parkinson disease require individualized medication regimens to optimize care. A review of the medication management of patients admitted to a tertiary care hospital with a secondary diagnosis of Parkinson disease found significant departures from the patients' home regimen. Medication regimens are often altered by health care teams unfamiliar with Parkinson disease-specific care in order to conform to standard hospital medication orders and administration times, potentially resulting in increased patient falls, delirium, and mortality.A nurse-led multidisciplinary team consisting of pharmacy, nursing, informatics, neurology, and quality personnel implemented a quality improvement (QI) project between July 2020 and July 2022 to identify patients with Parkinson disease, including those with a secondary diagnosis and those undergoing deep brain stimulation, and customize medication management in order to reduce length of stay, mortality, falls, falls with harm, and 30-day readmissions. The QI project team also evaluated patient satisfaction with medication management.Among patients with a secondary diagnosis of Parkinson disease, the proportion who had medication histories conducted by a pharmacy staff member increased from a baseline of 53% to more than 75% per month. For all patients with Parkinson disease, those whose medication history was taken by a pharmacy staff member had orders matching their home regimen 89% of the time, whereas those who did not had orders matching the home regimen only 40% of the time. Among patients with a secondary diagnosis of Parkinson disease, the length-of-stay index decreased from a baseline of 1 to 0.94 and observed-to-expected mortality decreased from 1.03 to 0.78. The proportion of patients experiencing a fall decreased from an average of 5% to 4.08% per quarter, while the proportion of patients experiencing a fall with harm decreased from an average of 1% to 0.75% per quarter. The rate of 30-day readmissions decreased from 10.81% to 4.53% per quarter. Patient satisfaction scores were 1.95 points higher for patients who had medication histories taken by pharmacy than for those who did not (5 versus 3.05).

Effects of medication management in geriatric patients who have fallen: results of the EMMA mixed-methods study.

BACKGROUND: comprehensive medication management (CMM) can reduce medication-related risks of falling. However, knowledge about inter-individual treatment effects and patient-related barriers remains scarce. OBJECTIVE: to gain in-depth insights into how geriatric patients who have fallen view their medication-related risks of falling and to identify effects and barriers of a CMM in preventing falls. DESIGN: complementary mixed-methods pre-post study, based on an embedded quasi-experimental model. SETTING: geriatric fracture centre. METHODS: qualitative, semi-structured interviews framed the CMM intervention, including a follow-up period of 12 weeks. Interviews explored themes of falling, medication-related risks, post-discharge acceptability and sustainability of interventions using qualitative content analysis. Optimisation of pharmacotherapy was assessed via changes in the weighted and summated Medication Appropriateness Index (MAI) score, number of fall-risk-increasing drugs (FRID) and potentially inappropriate medications (PIM) according to the Fit fOR The Aged and PRISCUS lists using parametric testing. RESULTS: thirty community-dwelling patients aged ≥65 years, taking ≥5 drugs and admitted after an injurious fall were recruited. The MAI was significantly reduced, but number of FRID and PIM remained largely unchanged. Many patients were open to medication reduction/discontinuation, but expressed fear when it came to their personal medication. Psychosocial issues and pain increased the number of indications. Safe alternatives for FRID were frequently not available. Psychosocial burden of living alone, fear, lack of supportive care and insomnia increased after discharge. CONCLUSION: as patients' individual attitudes towards trauma and medication were not predictable, an individual and longitudinal CMM is required. A standardised approach is not helpful in this population.

Developing an Ontology Representing Fall Risk Management Domain Knowledge.

Ontologies serve as comprehensive frameworks for organizing domain-specific knowledge, offering significant benefits for managing clinical data. This study presents the development of the Fall Risk Management Ontology (FRMO), designed to enhance clinical text mining, facilitate integration and interoperability between disparate data sources, and streamline clinical data analysis. By representing major entities within the fall risk management domain, the FRMO supports the unification of clinical language and decision-making processes, ultimately contributing to the prevention of falls among older adults. We used Ontology Web Language (OWL) to build the FRMO in Protégé. Of the seven steps of the Stanford approach, six steps were utilized in the development of the FRMO: (1) defining the domain and scope of the ontology, (2) reusing existing ontologies when possible, (3) enumerating ontology terms, (4) specifying the classes and their hierarchy, (5) defining the properties of the classes, and (6) defining the facets of the properties. We evaluated the FRMO using four main criteria: consistency, completeness, accuracy, and clarity. The developed ontology comprises 890 classes arranged in a hierarchical structure, including six top-level classes with a total of 43 object properties and 28 data properties. FRMO is the first comprehensively described semantic ontology for fall risk management. Healthcare providers can use the ontology as the basis of clinical decision technology for managing falls among older adults.

Integrating Fall Prevention Strategies into EMS Services to Reduce Falls and Associated Healthcare Costs for Older Adults.

Purpose: The purpose of this study is to detail the implementation of fall prevention initiatives through emergency medical services (EMS) and associated outcomes. Methods: Paramedics with MedStar Mobile Healthcare utilized the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall prevention model to screen and direct intervention through 9-1-1 emergency response, High Utilization Group (HUG), and 30-day Hospital Readmission Avoidance (HRA) programs. Outcomes from 9-1-1 calls measured the number of older adults screened for falls and identified risk factors. The HUG and HRA programs measured change in quality of life with EuroQol-5D, referral service utilization, falls, emergent healthcare utilization, and hospital readmission data. Analysis included costs associated with reduced healthcare usage. Results: Emergency paramedics provided fall risk screening for 50.5% (n=45,090) of adults aged 65 and older and 59.3% were at risk of falls, with 48.1% taking medications known to increase the risk of falls. Services provided through the HUG and HRA programs, along with additional needed referral services, resulted in a 37.2% reduction in fall-related 9-1-1 calls and a 29.5% increase in overall health status related to quality of life. Analysis of the HUG program revealed potential savings of over $1 million with a per-patient enrolled savings of $19,053. The HRA program demonstrated a 16.4% hospital readmission rate, in comparison to a regional average of 30.2%, and a cost-savings of $4.95 million or $15,618 per enrolled patient. Conclusion: Implementation of the STEADI model into EMS services provides an effective and cost-saving model for addressing fall prevention for older adults, provides meaningful and impactful improvement for older adults, and could serve as a model for other EMS programs.

This study explored the feasibility and impact of implementing an evidence-based fall prevention model into emergency medical services for older adults. The outcomes resulted in an efficient and effective manner to screen older adults for falls during emergency response services and connect high-risk older adults with in-home follow-up care from community paramedics. In addition, fall prevention services were provided for vulnerable adults following a recent discharge from hospital care. These initiatives to address fall prevention resulted in a majority of older adults receiving preventive fall risk screening during emergency response calls, significant changes in quality of life measures for adults with multiple comorbidities and fall risk, and significant potential cost savings in reduced healthcare services.

Risk Assessment and Prevention of Falls in Older Community-Dwelling Adults: A Review.

Importance: Falls are reported by more than 14 million US adults aged 65 years or older annually and can result in substantial morbidity, mortality, and health care expenditures. Observations: Falls result from age-related physiologic changes compounded by multiple intrinsic and extrinsic risk factors. Major modifiable risk factors among community-dwelling older adults include gait and balance disorders, orthostatic hypotension, sensory impairment, medications, and environmental hazards. Guidelines recommend that individuals who report a fall in the prior year, have concerns about falling, or have gait speed less than 0.8 to 1 m/s should receive fall prevention interventions. In a meta-analysis of 59 randomized clinical trials (RCTs) in average-risk to high-risk populations, exercise interventions to reduce falls were associated with 655 falls per 1000 patient-years in intervention groups vs 850 falls per 1000 patient-years in nonexercise control groups (rate ratio [RR] for falls, 0.77; 95% CI, 0.71-0.83; risk ratio for number of people who fall, 0.85; 95% CI, 0.81-0.89; risk difference, 7.2%; 95% CI, 5.2%-9.1%), with most trials assessing balance and functional exercises. In a meta-analysis of 43 RCTs of interventions that systematically assessed and addressed multiple risk factors among individuals at high risk, multifactorial interventions were associated with 1784 falls per 1000 patient-years in intervention groups vs 2317 falls per 1000 patient-years in control groups (RR, 0.77; 95% CI, 0.67-0.87) without a significant difference in the number of individuals who fell. Other interventions associated with decreased falls in meta-analysis of RCTs and quasi-randomized trials include surgery to remove cataracts (8 studies with 1834 patients; risk ratio [RR], 0.68; 95% CI, 0.48-0.96), multicomponent podiatry interventions (3 studies with 1358 patients; RR, 0.77; 95% CI, 0.61-0.99), and environmental modifications for individuals at high risk (12 studies with 5293 patients; RR, 0.74; 95% CI, 0.61-0.91). Meta-analysis of RCTs of programs to stop medications associated with falls have not found a significant reduction, although deprescribing is a component of many successful multifactorial interventions. Conclusions and Relevance: More than 25% of older adults fall each year, and falls are the leading cause of injury-related death in persons aged 65 years or older. Functional exercises to improve leg strength and balance are recommended for fall prevention in average-risk to high-risk populations. Multifactorial risk reduction based on a systematic clinical assessment for modifiable risk factors may reduce fall rates among those at high risk.

The Impact of Adding a 2-Way Video Monitoring System on Falls and Costs for High-Risk Inpatients.

OBJECTIVES: We aimed to investigate the value of adding a video monitoring (VM) system with falls and costs for patients at high risk. METHODS: We conducted a retrospective, historically controlled study of adults (≥18 y old) at high risk of fall admitted at the University of Miami Hospital and Clinics from January 1 to November 30, 2020 (pre-VM) and January 1 to November 30, 2021 (post-VM); in-person sitters were available in both periods. Fall risk assessment was conducted on admission and at every nursing shift; we defined patients as high risk if their Morse Fall Scale was ≥60. We conducted a multivariable logistic regression model to evaluate the association of period (pre- versus post-VM) with falls and performed a cost analysis. RESULTS: Our primary cohort consisted of 9,034 patients at high risk of falls, 4,207 (46.6%) in the pre-VM and 4,827 (53.4%) in the post-VM period. Fall rates were higher in the pre- than the post-VM periods (3.5% versus 2.7%, P = 0.043). After adjustment, being admitted during the post-VM period was associated with a lower odds of fall (odds ratio [95% confidence interval], 0.49 [0.37-0.64], P < 0.001). The median adjusted hospital cost (in 2020 dollars) was $1,969 more for patients who fell than for patients who did not (interquartile range, $880-$2,273). Considering start-up and ongoing costs, we estimate VM implementation to partly replace in-person monitoring has potential annual cost savings of >$800,000 for a hospital similar to ours. CONCLUSIONS: Video monitoring to augment in-person sitters is an effective fall prevention initiative for patients at high risk of falls, which is likely also cost-effective.

Optimizing and Implementing a Community-Based Group Fall Prevention Program: A Mixed Methods Study.

Falls and fall-related injuries among older adults are associated with decreased health. Therefore, fall prevention programs (FPPs) are increasingly important. However, the translation of such complex programs into clinical practice lacks insight into factors that influence implementation. Therefore, the aim of this study was to identify how to optimize and further implement a widely used group-based FPP in the Netherlands among participants, therapists and stakeholders using a mixed methods study. FPP participants and therapists filled out a questionnaire about their experiences with the FPP. Moreover, three focus groups were conducted with FPP participants, one with therapists and one with other stakeholders. Data were analysed according to the thematic analysis approach of Braun and Clarke. Overall, 93% of the 104 FPP participants were satisfied with the FPP and 86% (n = 12) of the therapists would recommend the FPP to older adults with balance or mobility difficulties. Moreover, six themes were identified regarding further implementation: (1) recruiting and motivating older adults to participate; (2) structure and content of the program; (3) awareness, confidence and physical effects; (4) training with peers; (5) funding and costs; and (6) long-term continuation. This study resulted in practical recommendations for optimizing and further implementing FPPs in practice.

Fall Risk Prediction for Community-Dwelling Older Adults: Analysis of Assessment Scale and Evaluation Items without Actual Measurement.

The frequency of falls increases with age. In Japan, the population is aging rapidly, and fall prevention measures are an urgent issue. However, assessing fall risk during the coronavirus disease pandemic was complicated by the social distancing measures implemented to prevent the disease, while traditional assessments that involve actual measurements are complicated. This prospective cohort study predicted the risk of falls in community-dwelling older adults using an assessment method that does not require actual measurements. A survey was conducted among 434 community-dwelling older adults to obtain data regarding baseline attributes (age, sex, living with family, use of long-term care insurance, and multimorbidity), Frailty Screening Index (FSI) score, and Questionnaire for Medical Checkup of Old-Old (QMCOO) score. The participants were categorized into fall (n = 78) and non-fall (n = 356) groups. The binomial logistic regression analysis showed that it is better to focus on the QMCOO sub-item score, which focuses on multiple factors. The items significantly associated with falls were Q5 (odds ratio [OR] 1.95), Q8 (OR 2.33), and Q10 (OR 3.68). Our results were similar to common risk factors for falls in normal times. During the pandemic, being able to gauge the risk factors for falls without actually measuring them was important.

Scoping Review of Fall Risk Assessment Tools for Women Who Receive Maternity Care.

OBJECTIVE: To identify and describe fall risk assessment tools used for women who receive maternity care. DATA SOURCES: PubMed, CINAHL Complete, MEDLINE Complete, Cochrane Library, Scopus, SciELO, and Repositórios Científicos de Acesso Aberto de Portugal (RCAAP). STUDY SELECTION: We considered reports published until November 28, 2022, that included women during pregnancy, childbirth, or the postpartum period; involved the use of fall risk assessment tools, regardless of context; and were published in English, French, Portuguese, or Spanish. DATA EXTRACTION: We extracted the following data from the included reports: author(s)/year/country, aim/sample, research design/type of report, tool (i.e., the fall risk assessment tool used), findings, reliability, and validity. DATA SYNTHESIS: We found 13 reports in which the authors addressed nine fall risk assessment tools. Seven of these tools were applied during pregnancy (Kyle's tool, Pregnant Women Information Form and Assessment Scale for Risk of Falling in Pregnant Women, Obstetric Fall Risk Assessment System), labor (Obstetric Fall Risk Assessment System), the postpartum period (Cooksey-Post Obstetric Delivery Fall Risk Assessment, Kyle's tool, Risk of Falling in Post-partum Women (SLOPE), Obstetric Fall Risk Assessment System, Post-epidural Fall Risk Assessment Score, and Maternal Fall Risk Assessment Scale). The Dionne's Egress Test and the Motor Strength Scale do not address the characteristics of the women who receive maternity care. Psychometric characteristics were available for the Pregnant Women Information Form and Assessment Scale for Risk of Falling in Pregnant Women, Post-epidural Fall Risk Assessment Score, Maternal Fall Risk Assessment Scale, and Risk of Falling in Post-partum Women. CONCLUSION: Some fall risk assessment tools are used to assess women who receive maternity care without proper validation in this specific population. The use of fall risk assessment tools that are validated for women who receive maternity care may help nurses make clinical judgments when assessing fall risk and implement measures for fall prevention.

Risk Assessment of Falls Among Older Adults Based on Probe Reaction Time During Water-Carrying Walking.

Purpose: Falls are a significant factor affecting the health of older adults and are closely related to cognitive function. Adopting an effective method to evaluate the risk of falls in older adults is essential for improving their healthcare. This study combined cognitive and motor functions to determine a reliable probe reaction time during water-carrying walking. Patients and Methods: We divided 100 community-dwelling older adults (aged 65 years and over) into two groups according to their fall history: the fall group and no-fall group. All subjects were tested on fall tasks using the timed up-and-go (TUG) test, 10-m walk timing test, trail marking test part-A (TMT-A), and water-carrying walking probe reaction time (P-RT). Results: The fall group showed slower walking speeds and longer TUG, TMT-A, and P-RT times than the no-fall group. In the logistic regression analysis with falls as the dependent variable, water-carrying walking P-RT was identified as a useful factor, and the cut-off value of the water-carrying walking P-RT was 454 ms, which was evaluated using the receiver operating characteristic curve. Conclusion: The P-RT of the water-carrying walking test was found to be credible and useful for evaluating the fall risk in older adults. Therefore, it is recommended that the P-RT-based dual-task be used as a predictive indicator of future falls in the older population.

Assessment of functional fitness impacted by hospital rehabilitation in post-stroke patients who additionally contracted COVID-19.

Background: The aim of the study was to assess the effects of rehabilitation in post-stroke patients, or post-stroke patients with simultaneous COVID-19 infection, in relation to: improved locomotion efficiency, improved balance, reduced risk of falling as well as the patients' more effective performance in everyday activities. Methods: The study involved 60 patients in the early period (2-3 months) after a stroke. Group I consisted of 18 patients (30.0%) who, in addition to a stroke, also contracted COVID-19. Group II consisted of 42 patients (70%) post-stroke, with no SARS-CoV2 infection. The effects were assessed on the basis of: Tinetti test, Timed Up & Go test and Barthel scale. Results: Both groups achieved a statistically significant improvement in their Barthel score after therapy (p < 0.001). The Tinetti test, assessing gait and balance, showed that participants in Group I improved their score by an average of 4.22 points. ±4.35, and in Group II, on average, by 3.48 points ± 3.45 points. In the Timed Up & Go test over a distance of 3 m, significant improvement was achieved in both groups, as well but the effect was higher in Group I (p < 0.001). Conclusions: Hospital rehabilitation in the early period after stroke improved locomotion efficiency and balance, and reduced the risk of falls in post-stroke patients, both with and without COVID-19 infection.

A stepped-wedge randomised controlled trial to assess efficacy and cost-effectiveness of a care-bundle to prevent falls in older hospitalised patients.

BACKGROUND: Patient accidental falls in a hospital environment are a serious problem for patient safety, and for the additional costs due to associated medical interventions. OBJECTIVE: The endpoints of this study were the assessment of the fall incidence in the hospital before and after the implementation of a multidisciplinary care-bundle, along with a cost-effectiveness evaluation. DESIGN: A stepped-wedge trial was conducted between April 2015 and December 2016 in Bologna University Hospital. METHODS: Incidence rates (IRs) of falls in both the control and intervention periods were calculated. A multilevel mixed-effects generalised linear model with logit link function, adjusted for age, sex, cluster cross-over timing and patients' clinical severity was used to estimate odds ratios (OR) of fall risk of patients of the intervention group respect to the controls.Intervention costs associated with the introduction of the care-bundle intervention were spread between patients per cluster-period-group of exposure. Incremental cost-effectiveness ratio was evaluated using total costs in the intervention and control groups. RESULTS: IRs of falls in control and intervention periods were respectively 3.15 and 2.58 for 1,000 bed-days. After adjustment, the subjects receiving the intervention had a statistically significant reduced risk of falling with respect to those who did not (OR = 0.71, 95% confidence interval: 0.60-0.84). According to the cost-effectiveness analysis, the incremental cost per fall prevented was €873.92 considering all costs, and €1644.45 excluding costs related falls. CONCLUSIONS: Care-bundle had a protective effect on patients, with a statistically significant reduction of the fall risk. This type of intervention appears cost-effective compared to routine practices.

Medicare's Hospital Readmission Reduction Program reduced fall-related health care use: An unexpected benefit?

OBJECTIVE: To assess whether Medicare's Hospital Readmissions Reduction Program (HRRP) was associated with a reduction in severe fall-related injuries (FRIs). DATA SOURCES AND STUDY SETTING: Secondary data from Medicare were used. STUDY DESIGN: Using an event study design, among older (≥65) Medicare fee-for-service beneficiaries, we assessed changes in 30- and 90-day FRI readmissions before and after HRRP's announcement (April 2010) and implementation (October 2012) for conditions targeted by the HRRP (acute myocardial infarction [AMI], congestive heart failure [CHF], and pneumonia) versus "non-targeted" (gastrointestinal) conditions. We tested for modification by hospitals with "high-risk" before HRRP and accounted for potential upcoding. We also explored changes in 30-day FRI readmissions involving emergency department (ED) or outpatient care, care processes (length of stay, discharge destination, and primary care visit), and patient selection (age and comorbidities). DATA COLLECTION: Not applicable. PRINCIPAL FINDINGS: We identified 1.5 million (522,596 pre-HRRP, 514,844 announcement, and 474,029 implementation period) index discharges. After its announcement, HRRP was associated with 12%-20% reductions in 30- and 90-day FRI readmissions for patients with CHF (-0.42 percentage points [ppt], p = 0.02; -1.53 ppt, p < 0.001) and AMI (-0.35, p = 0.047; -0.97, p = 0.001). Two years after implementation, HRRP was associated with reductions in 90-day FRI readmission for AMI (-1.27 ppt, p = 0.01) and CHF (-0.98 ppt, p = 0.02) patients. Results were similar for hospitals at higher versus lower baseline risk of FRI readmission. After HRRP's announcement, decreases were observed in home health (AMI: -2.43 ppt, p < 0.001; CHF: -8.83 ppt, p < 0.001; pneumonia: -1.97 ppt, p < 0.001) and skilled nursing facility referrals (AMI: -5.95 ppt, p < 0.001; CHF: -3.19 ppt, p < 0.001; pneumonia: -10.27 ppt, p < 0.001). CONCLUSIONS: HRRP was associated with reductions in FRIs, primarily for HF and pneumonia patients. These decreases may reflect improvements in transitional care including changes in post-acute referral patterns that benefit patients at risk for falls.

Development of a statistical analysis software for determining effectiveness of a comprehensive fall risk management protocol.

INTRODUCTION: As the leading cause of fatal injuries in geriatric populations, falls are a serious health concern with a predicted rate of seven fall-related deaths per hour by 2030. The Timed Up and Go (TUG) test is a screening tool proposed by the Center for Disease Control for evaluating patients' risk of falling ('fall risk'). However, there exist no current protocols on how to use the test results to decrease fall risk. The Fall Prevention Protocol (FPP) is a new comprehensive fall prevention programme created to address the lack of standardised TUG test follow-up in an Advanced Primary Care (APC) clinical setting. The programme provides a comprehensive approach for identifying fall risk and creating an individualised intervention plan to reduce the likelihood of falls. Due to the recent creation and implementation of FPP, there have been no efforts made to quantitatively prove that the FPP is more effective at reducing falls than the use of the TUG test alone without an established protocol for intervention. METHODS: This quality improvement project focuses on creating a user-friendly statistical analysis software for determining the effectiveness of the FPP compared with just using the TUG test without a standardised post-test protocol in reducing the number of falls in geriatric patients in an APC setting. The software-created using MATLAB R2022b and finalised as a stand-alone computer application-takes in data sets of patient fall history, determines the best statistical test for comparing the data, then analyses and provides users with a conclusion regarding which protocol is more beneficial for reducing falls. RESULTS: The developed software was proven to be user-friendly, able to be used in a healthcare setting with minimal necessary training, and deemed appropriate for data analysis of future fall risk protocol effectiveness testing.

Fall accidents in older people: a time trend analysis of the period 2000-2020 and the estimated economic burden on the Brazilian health system in 2025. / Acidentes por quedas na população idosa: análise de tendência temporal de 2000 a 2020 e o impacto econômico estimado no sistema de saúde brasileiro em 2025.

Longitudinal monitoring of indicators of accidental falls can facilitate the planning of effective care and prevention actions. This article aims to analyze temporal trends in variables related to falls among older persons in Brazil and in the state of São Paulo during the period 2000-2020 and estimate the projected economic burden on the health system in 2025. We conducted a quantitative retrospective observational study using data from the Health Information System. The Joinpoint Regression Program version 4.7.0 and SPSS version 20.0 were used to perform linear regression and calculate the Average Annual Percent Change (AAPC), adopting a 95% confidence interval. There was an increase in mean and total admissions costs due to falls at national level in both intervals of the study period. There was an increase in total admissions costs and the total number of admissions due to falls in the state of São Paulo (AAPC of 8.5% and 4.3%, respectively). Projections for the year 2025 suggest that the total number of admissions due to falls in Brazil will be around 150,000, resulting in costs of approximately R$ 260 million. There was an increase in the variables analyzed by this study, revealing the importance of fall prevention programs associated with national public policies.

O acompanhamento longitudinal de indicadores, como os relacionados às quedas acidentais, pode facilitar o planejamento de ações mais eficazes de assistência e prevenção. O objetivo deste artigo é analisar a tendência temporal das variáveis relacionadas aos acidentes de quedas na população idosa no Brasil e no estado de São Paulo entre 2000 e 2020 e estimar o impacto econômico para o SUS em 2025. Este é um estudo observacional retrospectivo com abordagem quantitativa, com dados do Sistema de Informação em Saúde. Foram utilizados os softwares Joinpoint Regression Program versão 4.7.0 e SPSS versão 20.0 para a realização de regressões lineares, além da análise Average Annual Percent Change (AAPC), adotando um intervalo de confiança de 95%. No país, houve aumento das internações nos dois períodos analisados, assim como os gastos totais, em todos os segmentos analisados. Em concordância no estado de São Paulo, o valor total e as internações apresentaram aumento (AAPC, sendo 8,5% e 4,3% respectivamente). No ano de 2025, as internações por quedas no Brasil estarão próximas a 150 mil, gerando custos em torno de R$ 260 milhões. Houve o aumento das variáveis analisadas, mostrando a importância de programas de prevenção de quedas associados a políticas públicas nacionais.

Better informing everyday fall risk assessment: experimental studies with contemporary technologies.

BACKGROUND: Age-related mobility issues and frailty are a major public health concern because of an increased risk of falls. Subjective assessment of fall risk in the clinic is limited, failing to account for an individual's habitual activities in the home or community. Equally, objective mobility trackers for use in the home and community lack extrinsic (ie, environmental) data capture to comprehensively inform fall risk. We propose a contemporary approach that combines artificial intelligence (AI) and video glasses to augment current methods of fall risk assessment. METHODS: Two case studies were performed to provide a framework to assess extrinsic factors within fall risk assessment via video glasses. The first was AI-based detection of environment and terrain type. We developed convolutional neural networks (CNN) via a bespoke dataset (>145 000 images) captured from different settings (eg, offices, high streets) via free-licenced video on social media. AI automated a textual description to uphold privacy while describing the scene (eg, indoor and carpet). In the second case study, we provided video glasses to participants within a university campus (two men, 17 women; aged 21-60 years) to capture data for automatically labelling environment and objects (eg, fall hazards) via a CNN object detection algorithm. The case studies ran from Dec 5, 2022, to March 24, 2023. FINDINGS: To date, results show promise for the efficient, and accurate AI-based approach to better inform fall risk. Each component of the framework achieved at least 75% accuracy across a range of walks (indoor and outdoor and multiple terrains) from a dataset of 6283 new images. The AI achieved a mean average precision score of 0·93 for the identification of fall risk hazards. INTERPRETATIONS: The AI-based approach provides a contemporary means to better inform fall risk while providing an ethical means to uphold privacy. The proposed approach could have significant implications for improving overall health and quality of life, enabling ageing in place through habitual data collection with contemporary wearables to decentralise fall risk assessment. A limitation was the lack of data collection on older adults within real world, unscripted settings. However, the next phase of this research is the deployment of the AI on real-world data from a cohort of more than 40 participants within UK-based homes. FUNDING: National Institute of Health and Care Research (NIHR) Applied Research Collaboration (ARC) North-East and North Cumbria (NENC), Faculty of Engineering and Environment at Northumbria University.

Effects of a clinical decision support system and patient portal for preventing medication-related falls in older fallers: Protocol of a cluster randomized controlled trial with embedded process and economic evaluations (ADFICE_IT).

BACKGROUND: Falls are the leading cause of injury-related mortality and hospitalization among adults aged ≥ 65 years. An important modifiable fall-risk factor is use of fall-risk increasing drugs (FRIDs). However, deprescribing is not always attempted or performed successfully. The ADFICE_IT trial evaluates the combined use of a clinical decision support system (CDSS) and a patient portal for optimizing the deprescribing of FRIDs in older fallers. The intervention aims to optimize and enhance shared decision making (SDM) and consequently prevent injurious falls and reduce healthcare-related costs. METHODS: A multicenter, cluster-randomized controlled trial with process evaluation will be conducted among hospitals in the Netherlands. We aim to include 856 individuals aged ≥ 65 years that visit the falls clinic due to a fall. The intervention comprises the combined use of a CDSS and a patient portal. The CDSS provides guideline-based advice with regard to deprescribing and an individual fall-risk estimation, as calculated by an embedded prediction model. The patient portal provides educational information and a summary of the patient's consultation. Hospitals in the control arm will provide care-as-usual. Fall-calendars will be used for measuring the time to first injurious fall (primary outcome) and secondary fall outcomes during one year. Other measurements will be conducted at baseline, 3, 6, and 12 months and include quality of life, cost-effectiveness, feasibility, and shared decision-making measures. Data will be analyzed according to the intention-to-treat principle. Difference in time to injurious fall between the intervention and control group will be analyzed using multilevel Cox regression. DISCUSSION: The findings of this study will add valuable insights about how digital health informatics tools that target physicians and older adults can optimize deprescribing and support SDM. We expect the CDSS and patient portal to aid in deprescribing of FRIDs, resulting in a reduction in falls and related injuries. TRIAL REGISTRATION: ClinicalTrials.gov NCT05449470 (7-7-2022).