OBJECTIVE: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, their prevention and resolution. The objective of this study was to exploit a newly developed deep neural network classifier to identify drug-related problems from pharmaceutical interventions and perform a large retrospective descriptive analysis of them in a French university hospital over a 3-year period.
METHODS: Data were collected from prescription support software from 2018 to 2020. A classifier running in Python 3.8 and using Keras library was then used to automatically categorise drug-related problems from pharmaceutical interventions according to the coding of the French Society of Clinical Pharmacy.
RESULTS: 2 930 656 prescription lines were analysed for a total of 119 689 patients. Among these prescription lines, 153 335 (5.2%) resulted in pharmaceutical interventions (n=48 202 patients; 40.2%). Pharmaceutical interventions were predominantly observed in patients aged 65 years or older (n=26 141 patients out of 53 186; 49.1%) and in patients taking five or more medications (44 702 patients out of 93 419; 47.8%). The most frequently identified types of drug-related problems associated with pharmaceutical interventions were \'Non-conformity to guidelines or contra-indication\' (n=88 523; 57.7%), \'Overdosage\' (16 975; 11.1%) and \'Improper administration\' (13 898; 9.1%). The most frequently encountered drugs were: paracetamol (n=10 585; 6.9%), esomeprazole (6031; 3.9%), hydrochlorothiazide (2951; 1.9%), enoxaparin (2191; 1.4%), tramadol (1879; 1.2%), calcium (2073; 1.3%), perindopril (1950; 1.2%), amlodipine (1716; 1.1%), simvastatin (1560; 1.0%) and insulin (1019; 0.7%).
CONCLUSIONS: The deep neural network classifier used met the challenge of automatically classifying drug-related problems from pharmaceutical interventions from a large database without mobilising significant human resources. The use of such a classifier can lead to alerting caregivers about certain risky practices in prescription and administration, and triggering actions to improve patients\' therapeutic outcomes.

BACKGROUND: The integration of smart technologies, including wearables and voice-activated devices, is increasingly recognized for enhancing the independence and well-being of older adults. However, the long-term dynamics of their use and the coadaptation process with older adults remain poorly understood. This scoping review explores how interactions between older adults and smart technologies evolve over time to improve both user experience and technology utility.
OBJECTIVE: This review synthesizes existing research on the coadaptation between older adults and smart technologies, focusing on longitudinal changes in use patterns, the effectiveness of technological adaptations, and the implications for future technology development and deployment to improve user experiences.
METHODS: Following the Joanna Briggs Institute Reviewer\'s Manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, this scoping review examined peer-reviewed papers from databases including Ovid MEDLINE, Ovid Embase, PEDro, Ovid PsycINFO, and EBSCO CINAHL from the year 2000 to August 28, 2023, and included forward and backward searches. The search was updated on March 1, 2024. Empirical studies were included if they involved (1) individuals aged 55 years or older living independently and (2) focused on interactions and adaptations between older adults and wearables and voice-activated virtual assistants in interventions for a minimum period of 8 weeks. Data extraction was informed by the selection and optimization with compensation framework and the sex- and gender-based analysis plus theoretical framework and used a directed content analysis approach.
RESULTS: The search yielded 16,143 papers. Following title and abstract screening and a full-text review, 5 papers met the inclusion criteria. Study populations were mostly female participants and aged 73-83 years from the United States and engaged with voice-activated virtual assistants accessed through smart speakers and wearables. Users frequently used simple commands related to music and weather, integrating devices into daily routines. However, communication barriers often led to frustration due to devices\' inability to recognize cues or provide personalized responses. The findings suggest that while older adults can integrate smart technologies into their lives, a lack of customization and user-friendly interfaces hinder long-term adoption and satisfaction. The studies highlight the need for technology to be further developed so they can better meet this demographic\'s evolving needs and call for research addressing small sample sizes and limited diversity.
CONCLUSIONS: Our findings highlight a critical need for continued research into the dynamic and reciprocal relationship between smart technologies and older adults over time. Future studies should focus on more diverse populations and extend monitoring periods to provide deeper insights into the coadaptation process. Insights gained from this review are vital for informing the development of more intuitive, user-centric smart technology solutions to better support the aging population in maintaining independence and enhancing their quality of life.
UNASSIGNED: RR2-10.2196/51129.

BACKGROUND: The use of telehealth has rapidly increased, yet some populations may be disproportionally excluded from accessing and using this modality of care. Training service users in telehealth may increase accessibility for certain groups. The extent and nature of these training activities have not been explored.
OBJECTIVE: The objective of this scoping review is to identify and describe activities for training service users in the use of telehealth.
METHODS: Five databases (MEDLINE [via PubMed], Embase, CINAHL, PsycINFO, and Web of Science) were searched in June 2023. Studies that described activities to train service users in the use of synchronous telehealth consultations were eligible for inclusion. Studies that focused on health care professional education were excluded. Papers were limited to those published in the English language. The review followed the Joanna Briggs Institute guidelines for scoping reviews and was reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Titles and abstracts were screened by 1 reviewer (EG). Full texts were screened by 2 reviewers (EG and JH or SC). Data extraction was guided by the research question.
RESULTS: The search identified 8087 unique publications. In total, 13 studies met the inclusion criteria. Telehealth training was commonly described as once-off preparatory phone calls to service users before a telehealth visit, facilitated primarily by student volunteers, and accompanied by written instructions. The training content included guidance on how to download and install software, troubleshoot technical issues, and adjust device settings. Older adults were the most common target population for the training. All but 1 of the studies were conducted during the COVID-19 pandemic. Overall, training was feasible and well-received by service users, and studies mostly reported increased rates of video visits following training. There was limited and mixed evidence that training improved participants\' competency with telehealth.
CONCLUSIONS: The review mapped the literature on training activities for service users in telehealth. The common features of telehealth training for service users included once-off preparatory phone calls on the technical elements of telehealth, targeted at older adults. Key issues for consideration include the need for co-designed training and improving the broader digital skills of service users. There is a need for further studies to evaluate the outcomes of telehealth training activities in geographically diverse areas.

OBJECTIVE: Frailty in older adults is associated with multiple adverse health outcomes, while evidence on its successful prevention has been scarce. Therefore, we analyzed the effectiveness of different interventions for the prevention of frailty onset.
METHODS: In this systematic review, eight databases were searched for randomized controlled trials of interventions in non-frail (i.e., robust or pre-frail) adults aged ≥ 60 years that assessed frailty incidence at follow-up. Additive component network meta-analysis (CNMA) was conducted to isolate the effect of different intervention types on the main outcome of frailty incidence, reporting relative risk (RR) with 95% confidence intervals (CI). The effect on gait speed was analyzed as an additional outcome using a classic network meta-analysis and the standardized mean difference (SMD) with 95% CI.
RESULTS: We screened 24,263 records and identified 11 eligible trials. Nine trials (842 participants, all categorized according to the physical phenotype) in pre-frail (seven RCTs) and robust/pre-frail (two RCTs) older adults were included in the CNMA. Physical exercise significantly reduced frailty incidence at follow-up (RR 0.26, 95% CI 0.08; 0.83), while this was not found for nutritional interventions (RR 1.16, 95% CI 0.33; 4.10). Interventions based on physical exercise also improved gait speed (SMD 1.55, 95% CI 1.16; 1.95). In addition, 22 eligible trial protocols without published results were identified.
CONCLUSIONS: Interventions based on physical exercise appear to be effective in preventing the onset of frailty in older adults. Although the available data are still limited, results from ongoing trials may add to the body of evidence in the foreseeable future.

Malnutrition is a prevalent, yet often underdiagnosed and undertreated, condition in older adults. It is characterized by weight loss and/or reduced muscle mass due to diminished caloric intake, inflammation, and/or disease burden. In return, malnutrition can lead to diminished skeletal muscle functionality and disability, among others. Malnutrition plays a crucial role in the pathogenesis of two prevalent geriatric syndromes, namely sarcopenia and frailty. The complex interplay between malnutrition, sarcopenia, and frailty significantly impacts the older population, leading to increased morbidity, mortality, hospitalization rates, quality-of-life, and healthcare costs. Given the prognostic significance of malnutrition in geriatric care, recent guidelines emphasized the role of nutritional support in vulnerable populations. A group of vulnerable populations to malnutrition, sarcopenia, and frailty are older patients with hip fractures, cancer patients, and those with sarcopenic dysphagia. This article highlights the importance of individualized nutritional assessment and treatment in the management of vulnerable populations such as older patients with hip fractures, cancer, and those suffering from sarcopenic dysphagia. It presents practical protocols and guidelines that can be instrumental in enhancing the nutritional care of these groups, thereby improving their overall health outcomes.

BACKGROUND: The Ishii Test is recommended by the European Working Group on Sarcopenia in Older People (EWGSOP2), however the use of this technique is still little explored in the clinical context and the scientific literature.
OBJECTIVE: We aimed to verify the use of the Test of Ishii in screening for sarcopenia in older adults.
METHODS: We searched three electronic databases and two reviewers independently screened and assessed the studies. Studies with older adults (60 years or more) of both genders, no year or language restriction and which aimed to evaluate sarcopenia using the Ishii Test and another diagnostic criteria were selected. A summary of the ROC curve, sensitivity and specificity were performed using the MedCalc and SPSS software programs, respectively.
RESULTS: A total of 3,298 references were identified in the database, 278 by manually searching, and finally 11 studies were included for the review. The screening test showed good sensitivity and specificity in both genders. All studies showed values above the considered value for the Area Under the Curve (AUC) results, without discriminating power (0.500). Four studies used the original values, and five studies developed a new cut-off point. A summary of the AUC curve showed the diamond close to one, indicating that the Ishii test has good performance for screening sarcopenia (I2=83,66%; p<0.001; 95%CI: 69.38 to 91.28 for men; and I2=60.04%; p<0.001; 95%CI: 13.06 to 81.63 for women).
CONCLUSIONS: The Ishii Test can be considered a useful tool for the early identification of sarcopenia in older adults. However, further studies are still needed to understand the behavior of this screening tool.
BACKGROUND: CRD42023424392.

BACKGROUND: Dementia encompasses neurodegenerative disorders that account for a global estimated healthcare expenditure of 1.3 trillion US dollars. In Australia, one in 12 people aged ≥65 has a diagnosis of dementia and it is the second leading cause of death. Paramedics play a crucial role in person-centred dementia care, particularly in the community. While consensus has been established on paramedicine\'s integration into interdisciplinary care teams, there remains a lack of clarity regarding the paramedic role in dementia care.
OBJECTIVE: This study aimed to examine and report paramedic interactions with people living with dementia in the out-of-hospital setting.
METHODS: This was a scoping review study of paramedics and people living with dementia within the out-of-hospital setting.
METHODS: This study was guided by the Joanna Briggs Institute (JBI) scoping review framework. Databases were searched without date limits, up to 4 April 2023. These encompassed OVID Medline, CINAHL, Scopus, APA PsycInfo and OVID Embase. Articles were included if they were primary, peer-reviewed studies in English and reporting on paramedic-specific interactions with people living with dementia in the out-of-hospital setting. Data extraction was performed based on study setting, design, population and key findings.
RESULTS: Twenty-nine articles were included in the thematic analysis. Four themes emerged: need for training, patterns of attendances, patterns of documentation and the integrative potential of paramedicine. Paramedics reported feeling ill-equipped and unprepared in caring for patients living with dementia due to challenges in assessment and management of caregiver tensions. They were often called as a last resort due to poor service integration and a lack of alternative care pathways. Despite high conveyance rates, there was low incidence of paramedic interventions initiated. Underdocumentation of dementia and pain was found.
CONCLUSIONS: Emergency ambulance conveyance of people living with dementia is a surface reaction compounded by a lack of direction for paramedics in the provision of out-of-hospital care. There is a pressing need for establishment of research and educational priorities to improve paramedic training in dementia-specific skillsets.

BACKGROUND: The intersection of ageism and racism is underexplored in geriatric emergency medicine (GEM) research.
METHODS: We performed a scoping review of research published between January 2016 and December 2021. We included original emergency department-based research focused on falls, delirium/dementia, medication safety, and elder abuse. We excluded manuscripts that did not include (1) original research data pertaining to the four core topics, (2) older adults, (3) subjects from the United States, and (4) for which full text publication could not be obtained. The primary objective was to qualitatively describe reporting about older adults\' social identities in GEM research. Secondary objectives were to describe (1) the extent of inclusion of minoritized older adults in GEM research, (2) GEM research about health equity, and (3) feasible approaches to improve the status quo of GEM research reporting.
RESULTS: After duplicates were removed, 3277 citations remained and 883 full-text articles were reviewed, of which 222 met inclusion criteria. Four findings emerged. First, race and ethnicity reporting was inconsistent. Second, research rarely provided a rationale for an age threshold used to define geriatric patients. Third, GEM research more commonly reported sex than gender. Fourth, research commonly excluded older adults with cognitive impairment and speakers of non-English primary languages.
CONCLUSIONS: Meaningful assessment of GEM research inclusivity is limited by inconsistent reporting of sociodemographic characteristics, specifically race and ethnicity. Reporting of sociodemographic characteristics should be standardized across different study designs. Strategies are needed to include in GEM research older adults with cognitive impairment and non-English primary languages.

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BACKGROUND: Anxiety symptoms and disorders are common in older adults and often go undetected. A systematic review was completed to identify tools that can be used to detect anxiety symptoms and disorders in community-dwelling older adults.
METHODS: MEDLINE, Embase and PsycINFO were searched using the search concepts anxiety, older adults and diagnostic accuracy in March 2023. Included articles assessed anxiety in community-dwelling older adults using an index anxiety tool and a gold standard form of anxiety assessment and reported resulting diagnostic accuracy outcomes. Estimates of pooled diagnostic accuracy outcomes were completed.
RESULTS: Twenty-three anxiety tools were identified from the 32 included articles. Pooled diagnostic accuracy outcomes were estimated for the Geriatric Anxiety Inventory (GAI)-20 [n = 3, sensitivity = 0.89, 95% confidence interval (CI) = 0.70-0.97, specificity = 0.80, 95% CI = 0.67-0.89] to detect generalized anxiety disorder (GAD) and for the GAI-20 (n = 3, cut off ≥ 9, sensitivity = 0.74, 95% CI = 0.62-0.83, specificity = 0.96, 95% CI = 0.74-1.00), Beck Anxiety Inventory (n = 3, sensitivity = 0.70, 95% CI = 0.58-0.79, specificity = 0.60, 95% CI = 0.51-0.68) and Hospital Anxiety and Depression Scale (HADS-A) (n = 3, sensitivity = 0.78, 95% CI = 0.60-0.89, specificity = 0.76, 95% CI = 0.60-0.87) to detect anxiety disorders in clinical samples.
CONCLUSIONS: The GAI-20 was the most studied tool and had adequate sensitivity while maintaining acceptable specificity when identifying GAD and anxiety disorders. The GAI-20, GAI-Short Form and HADS-A tools are supported for use in detecting anxiety in community-dwelling older adults. Brief, self-rated and easy-to-use tools may be the best options for anxiety detection in community-dwelling older adults given resource limitations. Clinicians may consider factors including patient comorbidities and anxiety prevalence when selecting a tool and cut off.