"Nenhuma Pessoa Idosa Merece Passar por Isso": Compreensão da Violência para Mulheres Gerontes / "Ninguna Persona Adulta Mayor Merece Pasar Por Esto": Comprensión de la Violencia para las Mujeres Adultas Mayores / "No Elderly Person Deserves to Go Through This": Understanding Violence Towards Elderly Women

Resumo Introdução: A violência contra idosos é um fenômeno crescente, ocasionando prejuízos à saúde, com diferentes desfechos e consequências às vítimas. A chance de idosas sofrerem-na no âmbito familiar supera a dos homens, sendo o gênero um fator de risco considerável. Objetivo: Analisar a compreensão da violência contra pessoas idosas segundo mulheres gerontes. Metodologia: Pesquisa descritiva com abordagem qualitativa desenvolvida com 22 idosas de uma comunidade no estado da Paraíba, Brasil, escolhidas por conveniência. Utilizou-se para coleta de dados entrevistas semiestruturadas, processadas pelo software Iramuteq, com posterior Análise de Conteúdo. Resultados: Foram evidenciadas cinco classes: ciclo de violência; rede de apoio ao idoso vítima de violência; Vivência de situações violentas; violência financeira; e simbologia da violência na sociedade, as quais denotam compreensão da violência envolvendo os diferentes tipos. Apoiam-se nos fatores da vivência familiar, cultura e outros, consubstanciando o profissional de saúde como fundamental para o desfecho. O gênero influenciou no que concerne ao olhar lançado sobre a violência física e psicológica, bem como na relevância dada às equipes de saúde para identificação de ocorrências e prevenção de possíveis danos. Conclusão: Os diversos tipos de violência contra a pessoa idosa foram reconhecidos, incluindo fatores individuais, comunitários e sociais no ciclo violento. Além disso, associaram o envelhecimento a maior suscetibilidade para sofrer violência, independente da tipologia. Destaca-se a potencialidade do serviço de saúde na assistência à pessoa idosa vítima de violência, elucidando casos e atuando precocemente para interrupção dos ciclos perpetrados, exigindo a necessidade constante de atualização profissional para lidar com situações detectadas.

Resumen Introducción: La violencia contra las personas adultas mayores es un fenómeno creciente, que causa daños a la salud, con diferentes desenlaces y consecuencias para las víctimas. La posibilidad de que las mujeres adultas mayores la sufran en el ámbito familiar supera la de los hombres, siendo el género un factor de riesgo considerable. Objetivo: Analizar la comprensión de la violencia contra las personas mayores según las mujeres adultas mayores. Metodología: Investigación descriptiva con enfoque cualitativo desarrollada con 22 mujeres adultas mayores de una comunidad en el estado de Paraíba, Brasil, elegidas por conveniencia. Para la recolección de datos, se utilizaron entrevistas semiestructuradas, procesadas por el software Iramuteq, con posterior análisis de contenido. Resultados: Se evidenciaron cinco tipos de violencia: ciclo de la violencia, red de apoyo población adulta mayor víctima de violencia, experimentar situaciones violentas, violencia financiera y simbología de la violencia en la sociedad, que denotan la comprensión de la violencia de diferentes tipos. Estas ideas están respaldadas en los factores de la experiencia familiar, la cultura y otros, donde la persona profesional de la salud se identifica como fundamental para el cuidado y apoyo. El género influyó en la mirada lanzada sobre la violencia física y psicológica, así como en la relevancia dada a los equipos de salud para la identificación de sucesos y la prevención de posibles daños. Conclusión: Se han reconocido los diversos tipos de violencia contra las personas mayores, incluidos los factores individuales, comunitarios y sociales en el ciclo de violencia. Además, asociaron el envejecimiento con una mayor susceptibilidad a sufrir violencia, independientemente de la tipología. Destaca la potencialidad del servicio de salud en la asistencia a la persona mayor víctima de violencia, mediante la identificación de casos y la actuación temprana para la interrupción de los ciclos perpetrados. De manera que, se evidencia la necesidad constante de actualización profesional para hacer frente a situaciones detectadas.

Abstract Introduction: Violence against the elderly is a growing phenomenon, causing damage to health, with different outcomes and consequences to the victims. The possibility of elderly women suffering it in the family context surpasses that of men, with gender being a considerable risk factor. Objective: To analyze the understanding of violence against the elderly according to elderly women. Method: Descriptive research with a qualitative approach developed with 22 elderly women from a community in the state of Paraíba, Brazil, chosen for convenience. The data collection was based on semi-structured interviews, processed by the Iramuteq software, with subsequent Content Analysis. Results: Five classes of violence against the elderly were evidenced: cycle of violence; support network for the elderly victims of violence; experience of violent situations; financial violence; and symbolism of violence in society, which denote an understanding of violence involving the different types. They are based on the factors of family experience, culture, and others, placing the health professional as a fundamental element for care and support. Gender influenced the perspective on physical and psychological violence, as well as the relevance given to health teams for the identification of occurrences and the prevention of possible damage. Conclusion: The various types of violence against the elderly have been recognized, including individual, community, and social factors in the violent cycle. In addition, they associated aging with greater susceptibility to suffering violence, regardless of the typology. It highlights the potential of the health service in assisting the elderly victim of violence, elucidating cases, and acting early to interrupt the cycles perpetrated, requiring the constant need for professional updating to deal with detected situations.

Elder abuse geriatrics: describing an important new medical specialist.

Elder mistreatment, including elder abuse and neglect, is a difficult diagnosis to make and manage for most providers. To address this, two elder abuse consultation teams were developed for patients in the hospital and emergency department settings. As these teams have developed, the providers involved have obtained specialized training and experience that we believe contributes to a new field of elder abuse geriatrics, a corollary to the well-established field of child abuse pediatrics. Providers working in this field require specialized training and have a specialized scope of practice that includes forensic evaluation, evaluation of cognition and capacity, care coordination and advocacy for victims of abuse, and collaboration with protective services and law enforcement. Here we describe the training, scope of practice, ethical role, and best practices for elder mistreatment medical consultation. We hope this will serve as a starting point for this new and important medical specialty.

Gender Violence During the Three Ages of Life and the Impact of the Covid-19 Pandemic: A Review.

Children, women, and older people suffer different types of violence, which appears to have been exacerbated during the COVID-19 pandemic and the relative lockdown. The aim of this study is to analyze the literature about gender violence and abuse in the different ages of life and during the COVID-19 lockdown. Data were obtained from an electronic literature search using various online sources such as PubMed, Google Scholar, Science Direct and Web of Science. The terms "child abuse" were the most frequently used, followed in frequency by "gender violence," "femicide," and, lastly, "elderly abuse." The first studies considered gender-based violence as a purely physical problem, then, progressively, the analysis focused on the psychological point of view of the issue. There was a greater number of studies in 2020 about violence in comparison with previous years. The social and scientific attention to gender-based violence appeared to be very poor, especially in the case of older people abuse. It is necessary to increase general attention to the topic to correctly identify each form of abuse and to be able to take care of the subjects most at risk.

ERASE: a feasible early warning tool for elder abuse, developed for use in the Dutch emergency department.

BACKGROUND: Elder abuse is a worldwide problem with serious consequences for individuals and society. To effectively deal with elder abuse, a timely identification of signals as well as a systematic approach towards (suspected) elder abuse is necessary. This study aimed to develop and test the acceptability and appropriateness of ERASE (EldeR AbuSE) in the emergency department (ED) setting. ERASE is an early warning tool for elder abuse self-administered by the healthcare professional in patients ≥ 70 years. METHODS: A systematic literature review was previously conducted to identify potential available instruments on elder abuse for use in the ED. Furthermore, a field consultation in Dutch hospitals was performed to identify practice tools and potential questions on the recognition of elder abuse that were available in clinical practice. Based on this input, in three subsequent rounds the ERASE tool was developed. The ERASE tool was tested in a pilot feasibility study in healthcare professionals (n = 28) working in the ED in three Dutch hospitals. A semi-structured online questionnaire was used to determine acceptability and appropriateness of the ERASE tool. RESULTS: The systematic literature review revealed seven screening instruments developed for use in the hospital and/or ED setting. In total n = 32 (44%) hospitals responded to the field search. No suitable and validated instruments for the detection of elder abuse in the ED were identified. The ERASE tool was developed, with a gut feeling awareness question, that encompassed all forms of elder abuse as starting question. Subsequently six signalling questions were developed to collect information on observed signs and symptoms of elder abuse and neglect. The pilot study showed that the ERASE tool raised the recognition of healthcare professionals for elder abuse. The tool was evaluated acceptable and appropriate for use in the ED setting. CONCLUSIONS: ERASE as early warning tool is guided by an initial gut feeling awareness question and six signalling questions. The ERASE tool raised the recognition of healthcare professionals for elder abuse, and was feasible to use in the ED setting. The next step will be to investigate the reliability and validity of the ERASE early warning tool.

Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.

Background: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis. Objective: This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided. Methods: Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses. Results: ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included. Conclusions: Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.

Research on the assignment of elderly care service personnel with time window constraints.

As the population continues to age, there is a growing need for elderly care services. In China, home care is widely embraced as a preferred method of caring for the elderly, and it has a promising commercial outlook. The strategic allocation of Elderly Care Service Personnel (ECSP) is a crucial component of the operational procedures for home care services. By strategically assigning elderly service personnel, it is possible to enhance the satisfaction and simultaneously minimize expenses. The issue of rationalizing the assignment of ECSP in the face of restricted resources is a genuine challenge that requires a solution, given the many types of elderly service demands and the skill requirements and time limits of certain projects. This study presents a strategy for assigning personnel on an hourly basis, taking into account time frame limits. This method involves several steps. Firstly, it involves assessing the specific service needs of the elderly, including the required door-to-door service time, service level, and gender preferences. Secondly, it calculates the service satisfaction and service operation cost of the Home Care Service Platform (HCSP) separately. Finally, it constructs a multi-objective elderly service personnel assignment method. This method aims to minimize the ECSP 's travel time and wasted time, maximize the satisfaction of the elderly by considering priority levels and ECSP scores, and minimize the operation cost of the HCSP. A model is developed to assign ECSP for elderly individuals, with the goal of minimizing travel time and wasted time, maximizing elderly satisfaction by considering priority and service personnel rating, and minimizing operating costs for the HCSP. Additionally, if there are unserved elderly individuals, an optimized path model is constructed using a cross-modified genetic algorithm to obtain the optimal matching result. Ultimately, an arithmetic example is employed to demonstrate the practicality and efficiency of the strategy put forth in this research. The findings demonstrate that the model presented in this research possesses distinct advantages in comparison to other conventional models.

The Development of Elder-Governed Adjuvant Cultural Therapy for Aboriginal and/or Torres Strait Islander Young People With Mental Health Conditions.

A 10-year review of the 2008 Council of Australian Governments' (COAG) Close the Gap Strategy identified the lack of involvement of Indigenous people in developing policies as a key reason health disparities persist. It also posits that disconnection from Country and culture have been crucial factors. Physical and mental health cannot be separated from spiritual health and well-being amongst Indigenous Australians. This article describes the co-development of a cultural enrichment research study with Indigenous Elders, health service leaders, and community members that places culture at the centre of care to augment traditional Western mental health management. The study has been overseen and nurtured from its inception by a governance board of Traditional Custodian Elders and an Advisory Group of Indigenous health workers. Qualitative data were collected through community 'zoom-yarns' between an Indigenous research assistant and 44 community members during COVID-19 lockdowns. These yarns were analysed through an innovative, constructivist, multi-perspectival discursive grounded theory method. Findings have led to an Elder-governed adjuvant cultural therapy which is currently being trialled and will be evaluated using the same multi-perspectival discursive grounded theory research methodology. One third of all Indigenous Australians now live in capital cities, so developing models to bring culture and Country into urban health facilities are becoming increasingly important. The Indigenous-led research approach outlined in this paper suggests a model for engaging Indigenous communities that mainly distrust Western research and have been failed by Western mental health care. It has the potential to shape future policy.

Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department-Based Clinical Decision Support Tool to Prevent Future Falls.

BACKGROUND: Clinical decision support (CDS) tools that incorporate machine learning-derived content have the potential to transform clinical care by augmenting clinicians' expertise. To realize this potential, such tools must be designed to fit the dynamic work systems of the clinicians who use them. We propose the use of academic detailing-personal visits to clinicians by an expert in a specific health IT tool-as a method for both ensuring the correct understanding of that tool and its evidence base and identifying factors influencing the tool's implementation. OBJECTIVE: This study aimed to assess academic detailing as a method for simultaneously ensuring the correct understanding of an emergency department-based CDS tool to prevent future falls and identifying factors impacting clinicians' use of the tool through an analysis of the resultant qualitative data. METHODS: Previously, our team designed a CDS tool to identify patients aged 65 years and older who are at the highest risk of future falls and prompt an interruptive alert to clinicians, suggesting the patient be referred to a mobility and falls clinic for an evidence-based preventative intervention. We conducted 10-minute academic detailing interviews (n=16) with resident emergency medicine physicians and advanced practice providers who had encountered our CDS tool in practice. We conducted an inductive, team-based content analysis to identify factors that influenced clinicians' use of the CDS tool. RESULTS: The following categories of factors that impacted clinicians' use of the CDS were identified: (1) aspects of the CDS tool's design (2) clinicians' understanding (or misunderstanding) of the CDS or referral process, (3) the busy nature of the emergency department environment, (4) clinicians' perceptions of the patient and their associated fall risk, and (5) the opacity of the referral process. Additionally, clinician education was done to address any misconceptions about the CDS tool or referral process, for example, demonstrating how simple it is to place a referral via the CDS and clarifying which clinic the referral goes to. CONCLUSIONS: Our study demonstrates the use of academic detailing for supporting the implementation of health information technologies, allowing us to identify factors that impacted clinicians' use of the CDS while concurrently educating clinicians to ensure the correct understanding of the CDS tool and intervention. Thus, academic detailing can inform both real-time adjustments of a tool's implementation, for example, refinement of the language used to introduce the tool, and larger scale redesign of the CDS tool to better fit the dynamic work environment of clinicians.

Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study.

Background: Sleep efficiency is often used as a measure of sleep quality. Getting sufficiently high-quality sleep has been associated with better cognitive function among older adults; however, the relationship between day-to-day sleep quality variability and cognition has not been well-established. Objective: We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults, using accelerometer data and 3 cognitive tests. Methods: We included older adults aged >65 years with at least 5 days of accelerometer wear time from the National Health and Nutrition Examination Survey (NHANES) who completed the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer's Disease Word-Learning subtest (CERAD-WL), and the Animal Fluency Test (AFT). Sleep efficiency was derived using a data-driven machine learning algorithm. We examined associations between sleep efficiency variability and scores on each cognitive test adjusted for age, sex, education, household income, marital status, depressive symptoms, diabetes, smoking habits, alcohol consumption, arthritis, heart disease, prior heart attack, prior stroke, activities of daily living, and instrumental activities of daily living. Associations between average sleep efficiency and each cognitive test score were further examined for comparison purposes. Results: A total of 1074 older adults from the NHANES were included in this study. Older adults with low average sleep efficiency exhibited higher levels of sleep efficiency variability (Pearson r=-0.63). After adjusting for confounding factors, greater average sleep efficiency was associated with higher scores on the DSST (per 10% increase, ß=2.25, 95% CI 0.61 to 3.90) and AFT (per 10% increase, ß=.91, 95% CI 0.27 to 1.56). Greater sleep efficiency variability was univariably associated with worse cognitive function based on the DSST (per 10% increase, ß=-3.34, 95% CI -5.33 to -1.34), CERAD-WL (per 10% increase, ß=-1.00, 95% CI -1.79 to -0.21), and AFT (per 10% increase, ß=-1.02, 95% CI -1.68 to -0.36). In fully adjusted models, greater sleep efficiency variability remained associated with lower DSST (per 10% increase, ß=-2.01, 95% CI -3.62 to -0.40) and AFT (per 10% increase, ß=-.84, 95% CI -1.47 to -0.21) scores but not CERAD-WL (per 10% increase, ß=-.65, 95% CI -1.39 to 0.08) scores. Conclusions: Targeting consistency in sleep quality may be useful for interventions seeking to preserve cognitive function among older adults.

Rare vermian pilocytic astrocytoma with recurrent spontaneous hemorrhage in the elderly: A case report and review of literature.

Background: Pilocytic astrocytoma (PA) is a benign glial tumor predominately seen in pediatrics and early adolescence with associated overall good outcomes. Very few cases of elderly PA have been reported in the literature, and they are known to display unique anatomic, histologic, and genetic peculiarities distinct from pediatric disease. We report a rare case of vermian PA in an octogenarian with recurrent spontaneous intratumoral hemorrhage as a presenting symptom. Furthermore, a review of the literature on the peculiarities of PA in the elderly will be discussed. Case Description: An 81-year-old woman presented with features suggestive of repeated posterior fossa hemorrhages characterized by headaches, diplopia, and alteration in sensorium occurring about 5 months apart. Brain neuroimaging showed a cerebellar vermian tumor with features suggestive of repeated intratumoral bleeding. She had an initial ventriculoperitoneal shunting for acute hydrocephalus and subsequently had a suboccipital craniotomy and subtotal tumor excision due to morbid adherence to the brainstem. The histologic diagnosis was PA with Ki-67 <1% and negative for isocitrate dehydrogenase-1. There was a slow but progressive clinical improvement, and she has remained symptom-free for 4 years on follow-up. Conclusion: PA in the elderly is a rare disease with distinct histologic and genetic peculiarities. This case review showed one of the oldest cases of cerebellar vermian PA presenting with recurrent spontaneous intratumoral hemorrhage, an extremely rare occurrence in benign glioma. Although complete surgical excision is recommended, partial resection is advocated for morbidly adherent tumors. Overall prognosis is worse in elderly PA.

Patient Abuse, Neglect, and Exploitation: Why Physicians Need to Be Trauma-Informed.

Introduction: Many people experience trauma, and its cumulative effects throughout the life span can alter health, development, and well-being. Despite this, few publications focusing on interpersonal trauma include a holistic understanding of the nature and widespread exposure of trauma experiences for patients. We developed an educational resource to teach residents about identifying and intervening with patients who experience trauma across the life span using a trauma-informed care (TIC) perspective. Methods: We created a 4-hour educational session for residents that included didactics, a virtual visit with a domestic violence shelter, a discussion with a person who had experienced trauma, and role-playing. A pretest/posttest retrospective survey assessed resident confidence level in identifying and intervening with patients who may have experienced trauma. We used the Wilcoxon signed rank test to compare pretest and posttest scores and the Kruskal-Wallis test to compare responses by residency type and year. Free-text questions were analyzed for thematic content. Results: During the 2021-2022 academic year, 72 of 90 residents (80%) from four residency programs attended and evaluated the session. More than 90% of respondents reported the session met their educational needs and provided them with new ideas, information, and practical suggestions to use in their clinical endeavors. The results demonstrated significantly increased confidence on most of the metrics measured. Discussion: This session significantly improved residents' confidence in identifying and intervening with patients who have had trauma experiences using a TIC perspective, which may lead them to provide improved patient care to those who have experienced trauma.

Exploring the Prevalence of Tinnitus and Ear-Related Symptoms in China After the COVID-19 Pandemic: Online Cross-Sectional Survey.

BACKGROUND: Tinnitus is a complex and heterogeneous disease that has been identified as a common manifestation of COVID-19. To gain a comprehensive understanding of tinnitus symptoms in individuals following COVID-19 infection, we conducted an online survey called the China Ear Nose and Throat Symptom Survey in the COVID-19 Pandemic (CENTSS) among the Chinese population. OBJECTIVE: Our objective was to investigate tinnitus and ear-related symptoms after COVID-19 infection in the Chinese population, with the aim of providing a solid empirical foundation for improved health care. The findings from CENTSS can contribute to the development of enhanced management strategies for tinnitus in the context of long COVID. By gaining a better understanding of the factors contributing to tinnitus in individuals with COVID-19, health care providers can tailor interventions to address the specific needs of affected patients. Furthermore, this study serves as a basis for research on the long-term consequences of COVID-19 infection and its associated tinnitus symptoms. METHODS: A quantitative, online, cross-sectional survey study design was used to explore the impact of the COVID-19 pandemic on experiences with tinnitus in China. Data were collected through an online questionnaire designed to identify the presence of tinnitus and its impacts. Descriptive statistics were used to analyze individuals' demographic characteristics, COVID-19 infection-related ear symptoms, and the cognitive and emotional implications of tinnitus. Univariable and multivariable logistic regression analyses were used to model the cross-sectional baseline associations between demographic characteristics, noise exposure, educational level, health and lifestyle factors, and the occurrence of tinnitus. RESULTS: Between December 19, 2022, and February 1, 2023, we obtained responses from 1262 Chinese participants representing 24 regions, with an average age of 37 years. Among them, 540 patients (42.8%) reported experiencing ear-related symptoms after COVID-19 infection. Only 114 (9%) of these patients sought medical attention specifically for their ear symptoms, while 426 (33.8%) did not seek hospital care. Tinnitus emerged as the most prevalent and impactful symptom among all ear-related symptoms experienced after COVID-19 infection. Of the respondents, female participants (688/888, 77.78%), younger individuals (<30 years), individuals with lower education levels, participants residing in western China, and those with a history of otolaryngology diseases were more likely to develop tinnitus following COVID-19 infection. CONCLUSIONS: In summary, tinnitus was identified as the most common ear-related symptom during COVID-19 infection. Individuals experiencing tinnitus after COVID-19 infection were found to have poorer cognitive and emotional well-being. Different ear-related symptoms in patients post-COVID-19 infection may suggest viral invasion of various parts of the ear. It is therefore crucial to monitor and manage hearing-related changes resulting from COVID-19 as clinical services resume.

Social Workers' Perceptions Regarding Legal Intervention for Older Adults without Significant Cognitive Decline Who Are Abused by Their Adult Child.

Social workers aiding older adults facing abuse from their adult child confront an ethical dilemma: whether to honor autonomy or prevent harm. The study explores how social workers perceive legal intervention against the older adult's will. Twenty-one aging-specialized social workers took part in semi-structured interviews using a vignette. The analysis was conducted inductively, guided by content analysis principles. Two main themes emerged, focusing on the disadvantages and benefits of legal intervention. The findings underscore that combining teleological and deontological considerations could form a foundation for developing decision-making tools to aid social workers in navigating this dilemma effectively.

Cross-sectional survey of staff and family perspectives on the use of CCTV in Australian residential aged care.

OBJECTIVE: To describe staff and family members' opinions about closed-circuit television (CCTV) in communal and private areas of residential aged care facilities (RACF), and to investigate how this relates to perceptions of care quality. METHODS: A cross-sectional survey was developed to capture perceptions of CCTV's influence on care quality, and acceptable locations for CCTV placement. Data were recorded as ordinal-scale and open responses. Non-parametric tests of association were conducted. RESULTS: The survey was completed by 81 staff and 74 family members. Both staff and family were satisfied with care quality and safety, irrespective of CCTV use. More family members were in favour of CCTV in both public and private areas, compared to staff who favoured public areas. Staff and family assumed there was real-time monitoring, leading to a belief that CCTV monitoring would improve safety and prevent falls and abuse. Concerns were raised that CCTV could be used instead of improving staff-to-resident ratios and interaction. CONCLUSIONS: Overall, participants supported the use of CCTV more in public than in private areas and believed it reveals and prevents poor care. There was no association between CCTV use and satisfaction with care. Closed-circuit television can have positive impacts if all stakeholders are involved in implementation.

Quality and Accessibility of Home Assessment mHealth Apps for Community Living: Systematic Review.

BACKGROUND: Home assessment is a critical component of successful home modifications, enabling individuals with functional limitations to age in place comfortably. A high-quality home assessment tool should facilitate a valid and reliable assessment involving health care and housing professionals, while also engaging and empowering consumers and their caregivers who may be dealing with multiple functional limitations. Unlike traditional paper-and-pencil assessments, which require extensive training and expert knowledge and can be alienating to consumers, mobile health (mHealth) apps have the potential to engage all parties involved, empowering and activating consumers to take action. However, little is known about which apps contain all the necessary functionality, quality appraisal, and accessibility. OBJECTIVE: This study aimed to assess the functionality, overall quality, and accessibility of mHealth home assessment apps. METHODS: mHealth apps enabling home assessment for aging in place were identified through a comprehensive search of scholarly articles, the Apple (iOS) and Google Play (Android) stores in the United States, and fnd.io. The search was conducted between November 2022 and January 2023 following a method adapted from PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Reviewers performed a content analysis of the mobile app features to evaluate their functionality, overall quality, and accessibility. The functionality assessment used a home assessment component matrix specifically developed for this study. For overall quality, the Mobile Application Rating Scale (MARS) was used to determine the apps' effectiveness in engaging and activating consumers and their caregivers. Accessibility was assessed using the Web Content Accessibility Guidelines (WCAG) 2.1 (A and AA levels). These 3 assessments were synthesized and visualized to provide a comprehensive evaluation. RESULTS: A total of 698 apps were initially identified. After further screening, only 6 apps remained. Our review revealed that none of the apps used thoroughly tested assessment tools, offered all the functionality required for reliable home assessment, achieved the "good" quality threshold as measured by the MARS, or met the accessibility criteria when evaluated against WCAG 2.1. However, DIYModify received the highest scores in both the overall quality and accessibility assessments. The MapIt apps also showed significant potential due to their ability to measure the 3D environment and the inclusion of a desktop version that extends the app's functionality. CONCLUSIONS: Our review revealed that there are very few apps available within the United States that possess the necessary functionality, engaging qualities, and accessibility to effectively activate consumers and their caregivers for successful home modification. Future app development should prioritize the integration of reliable and thoroughly tested assessment tools as the foundation of the development process. Furthermore, efforts should be made to enhance the overall quality and accessibility of these apps to better engage and empower consumers to take necessary actions to age in place.

Federal and State Policy Issues Affecting Lesbian, Gay, Bisexual, Transgender, and Queer Older Adults.

Anti-lesbian, gay, bisexual, transgender, and queer (LGBTQ) + discrimination is widespread, harming the health of LGBTQ + people and constituting a barrier to care. This contributes to higher rates of poverty among LGBTQ + people, especially among people of color, and lower insurance coverage rates. The Affordable Care Act's expansion of insurance access has reduced uninsurance rates among LGBT people and people living with human immunodeficienc virus (HIV). Systemic improvements in culturally responsive health care have occurred over the past decade, including increased collection and use of sexual orientation and gender identity data to improve quality of care. As older LGBTQ + people enter elder service systems, reforms are needed to ensure equitable access.

Identifying Predictive Risk Factors for Future Cognitive Impairment Among Chinese Older Adults: Longitudinal Prediction Study.

Background: The societal burden of cognitive impairment in China has prompted researchers to develop clinical prediction models aimed at making risk assessments that enable preventative interventions. However, it is unclear what types of risk factors best predict future cognitive impairment, if known risk factors make equally accurate predictions across different socioeconomic groups, and if existing prediction models are equally accurate across different subpopulations. Objective: This paper aimed to identify which domain of health information best predicts future cognitive impairment among Chinese older adults and to examine if discrepancies exist in predictive ability across different population subsets. Methods: Using data from the Chinese Longitudinal Healthy Longevity Survey, we quantified the ability of demographics, instrumental activities of daily living, activities of daily living, cognitive tests, social factors and hobbies, psychological factors, diet, exercise and sleep, chronic diseases, and 3 recently published logistic regression-based prediction models to predict 3-year risk of cognitive impairment in the general Chinese population and among male, female, rural-dwelling, urban-dwelling, educated, and not formally educated older adults. Predictive ability was quantified using the area under the receiver operating characteristic curve (AUC) and sensitivity-specificity curves through 20 repeats of 10-fold cross-validation. Results: A total of 4047 participants were included in the study, of which 337 (8.3%) developed cognitive impairment 3 years after baseline data collection. The risk factor groups with the best predictive ability in the general population were demographics (AUC 0.78, 95% CI 0.77-0.78), cognitive tests (AUC 0.72, 95% CI 0.72-0.73), and instrumental activities of daily living (AUC 0.71, 95% CI 0.70-0.71). Demographics, cognitive tests, instrumental activities of daily living, and all 3 recreated prediction models had significantly higher AUCs when making predictions among female older adults compared to male older adults and among older adults with no formal education compared to those with some education. Conclusions: This study suggests that demographics, cognitive tests, and instrumental activities of daily living are the most useful risk factors for predicting future cognitive impairment among Chinese older adults. However, the most predictive risk factors and existing models have lower predictive power among male, urban-dwelling, and educated older adults. More efforts are needed to ensure that equally accurate risk assessments can be conducted across different socioeconomic groups in China.

Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review.

BACKGROUND: Research suggests that digital ageism, that is, age-related bias, is present in the development and deployment of machine learning (ML) models. Despite the recognition of the importance of this problem, there is a lack of research that specifically examines the strategies used to mitigate age-related bias in ML models and the effectiveness of these strategies. OBJECTIVE: To address this gap, we conducted a scoping review of mitigation strategies to reduce age-related bias in ML. METHODS: We followed a scoping review methodology framework developed by Arksey and O'Malley. The search was developed in conjunction with an information specialist and conducted in 6 electronic databases (IEEE Xplore, Scopus, Web of Science, CINAHL, EMBASE, and the ACM digital library), as well as 2 additional gray literature databases (OpenGrey and Grey Literature Report). RESULTS: We identified 8 publications that attempted to mitigate age-related bias in ML approaches. Age-related bias was introduced primarily due to a lack of representation of older adults in the data. Efforts to mitigate bias were categorized into one of three approaches: (1) creating a more balanced data set, (2) augmenting and supplementing their data, and (3) modifying the algorithm directly to achieve a more balanced result. CONCLUSIONS: Identifying and mitigating related biases in ML models is critical to fostering fairness, equity, inclusion, and social benefits. Our analysis underscores the ongoing need for rigorous research and the development of effective mitigation approaches to address digital ageism, ensuring that ML systems are used in a way that upholds the interests of all individuals. TRIAL REGISTRATION: Open Science Framework AMG5P; https://osf.io/amg5p.