Care For Older Adults Research Articles

SMART technologies in older adult care: a scoping review and guide for caregivers

PurposeA wide gap exists between the innovation and development of self-monitoring, analysis and reporting technology (SMART) technologies and the actual adoption by older adults or those caring for them. This paper aims to increase awareness of available technologies and describes their suitability for older adults with different needs. SMART technologies are intelligent devices and systems that enable autonomous monitoring of their status, data analysis or direct feedback provision.Design/methodology/approachThis is a scoping review of SMART technologies used and marketed to older adults or for providing care.FindingsFive categories of SMART technologies were identified: (1) wearable technologies and smart tools of daily living; (2) noninvasive/unobtrusive technology (i.e. passive technologies monitoring the environment, health and behavior); (3) complex SMART systems; (4) interactive technologies; (5) assistive and rehabilitation devices. Technologies were then linked with needs related to everyday practical tasks (mainly applications supporting autonomous, independent living), social and emotional support, health monitoring/managing and compensatory assistance rehabilitation.Research limitations/implicationsWhen developing, testing or implementing technologies for older adults, researchers should clearly identify concrete needs these technologies help meet to underscore their usefulness.Practical implicationsOlder adults and caregivers should weigh the pros and cons of different technologies and consider the key needs of older adults before investing in any tech solution.Social implicationsSMART technologies meeting older adult needs help support both independent, autonomous life for as long as possible as well as aiding in the transition to assisted or institutionalized care.Originality/valueThis is the first review to explicitly link existing SMART technologies with the concrete needs of older adults, serving as a useful guide for both older adults and caregivers in terms of available technology solutions.

Defining responsible use of AI chatbots in social care for older adults.

Defining responsible use of AI chatbots in social care for older adults.

Results of the multicenter early feasibility study (EFS) of the Renata Minima stent as treatment for branch pulmonary artery stenosis and coarctation of aorta in infants.

Stent implantation has become standard of care in older children and adults for treatment of branch pulmonary artery stenosis (BPAS) and coarctation aorta (CoAo). There are no stents approved or available for infants that have the potential to be dilated to adult diameters. The Minima stent was designed to fulfill this unmet need. Multicenter, prospective, nonrandomized early feasibility studyevaluating safety and effectiveness of the Minima stent for treatment of BPAS and CoAo. Primary endpoints included: (1) successful deployment across lesion, (2) stenosis relief defined by an increase in angiographic diameter of >50% and (3) freedom from stent explant, embolization or migration at 30 days and 6 months. Between 2/2022 and 5/2022, 10 pts underwent Minima stent implantation with a median age and weight of 9 months (4-43 months) and 7.6 kg (5.1-16.9 kg). Procedural success and predefined stenosis relief was achieved in all cases (CoAo [n = 4], BPAS [n = 6]). Adverse events occurred in 3 pts: transient diminished lower extremity pulse (n = 2), distal stent on-balloon displacement successfully managed in the catheterization suite (n = 1). There were no deaths or major adverse events. All patients were free from stent explant and migration at 30 days and 6 months with no evidence for significant restenosis at latest follow-up. Implantation of the Renata Minima stent was safe and effective for the treatment of BPAS and CoAo in this small cohort of infants and young children during early follow-up. Based on these early results, an expanded study with longer follow-up is warranted.

General and Substantive Accountability in Nursing Home Services: Assessing Messages from the Demand Side and the Supply Side

ABSTRACT This study examines the extent to which general and substantive accountability is integrated into the language used by key actors involved in nursing home services. Particularly, we investigate the messages used by the supply side, which includes public and private organizations involved in residential care for older adults, and the demand side, which comprises organizations representing service beneficiaries. Moreover, we explore the alignment between the messages used by both sides of the accountability relationship. In the context of Spanish nursing homes, we analyzed a corpus of tweets by organizations from both sides of the accountability relationship, from one year before the outbreak of COVID-19 restrictions to after their implementation. Using text analysis techniques, we found that messages related to general and substantive accountability had a low priority before and after the outbreak. Public organizations were slightly more likely to employ general accountability terms than private organizations. This is particularly in non-crisis situations, although less frequently than organizations representing beneficiaries. Our analysis demonstrates a lack of convergence between the messaging on the supply and demand sides, indicating a communication breakdown between the two sides in the accountability relationship.

Drug Burden Index is a Modifiable Predictor of 30-Day-Hospitalization in Community-Dwelling Older Adults with Complex Care Needs: Machine Learning Analysis of InterRAI Data.

Older adults (≥ 65 years) account for a disproportionately high proportion of hospitalization and in-hospital mortality, some of which may be avoidable. Although machine learning (ML) models have already been built and validated for predicting hospitalization and mortality, there remains a significant need to optimise ML models further. Accurately predicting hospitalization may tremendously impact the clinical care of older adults as preventative measures can be implemented to improve clinical outcomes for the patient. In this retrospective cohort study, a dataset of 14,198 community-dwelling older adults (≥ 65 years) with complex care needs from the Inter-Resident Assessment Instrument database was used to develop and optimise three ML models to predict 30-day-hospitalization. The models developed and optimized were Random Forest (RF), XGBoost (XGB), and Logistic Regression (LR). Variable importance plots were generated for all three models to identify key predictors of 30-day-hospitalization. The area under the receiver operating characteristics curve for the RF, XGB and LR models were 0.97, 0.90 and 0.72, respectively. Variable importance plots identified the Drug Burden Index and alcohol consumption as important, immediately potentially modifiable variables in predicting 30-day-hospitalization. Identifying immediately potentially modifiable risk factors such as the Drug Burden Index and alcohol consumption is of high clinical relevance. If clinicians can influence these variables, they could proactively lower the risk of 30-day-hospitalization. ML holds promise to improve the clinical care of older adults. It is crucial that these models undergo extensive validation through large-scale clinical studies before being utilized in the clinical setting.

Attitudes Towards Filial Responsibility in 11 European Countries

This study examines how attitudes towards filial responsibility (AFR) have changed in 11 European countries between 2001 and 2017, based on data from the International Social Survey Programme. These countries include various types of welfare states and family traditions. The study also analyses the change in AFR according to the respondents’ gender and age. The findings indicate that in 2017, individuals reported lower filial responsibility than in 2001, with the exception of Great Britain, where the AFR increased. The most substantial decreases in AFR were observed in Hungary, France, Denmark, and Finland. This negative shift is visible in both genders and all age groups, particularly late middle-aged women. However, despite the varying intensity of AFR change, it was challenging to identify clear patterns in the variations between countries. These results highlight potential negative effects on political proposals for long-term care for older adults supported by younger generations.

Best Practices in the Care of Older Adults During an Unplanned Acute Observation Stay

Best Practices in the Care of Older Adults During an Unplanned Acute Observation Stay

The impact of frailty on clinical outcomes of older patients undergoing enhanced recovery after lumbar fusion surgery: A prospective cohort study.

Frailty is recognized as a surrogate for physiological age and has been established as a valid and independent predictor of postoperative morbidity, mortality, and complications. ERAS can enhance surgical safety by minimizing stress responses in frail patients, enabling surgeons to discharge patients earlier. However, the question of whether and to what extent the frailty impacts the post-ERAS outcomes in older patients remains. An evidence-based ERAS program was implemented in our center from January 2019. This is a prospective cohort study of patients aged ≥75 years who underwent open transforaminal lumbar interbody fusion (TLIF) for degenerative spine disease from April 2019 to October 2021. Frailty was assessed with the Fried frailty scale (FP scale), and patients were categorized as non/prefrail (FP 0-2) or frail (FP ≥ 3). The preoperative variables, operative data, postoperative outcomes and follow-up information were compared between the two groups. Univariate and multivariate logistic regression analyses were used to identify risk factors for 90-day major complications and prolonged length of hospital stay (LOS) after surgery. A total of 245 patients (age of 79.8 ± 3.4 yr) who had a preoperative FP score recorded and underwent scheduled TLIF surgery were included in the final analysis. Comparisons between non-frail and prefrail/frail patients revealed no significant difference in age, sex, and surgery-related variables. Even after adjusting for multiple comparisons, the association between Fried frailty and ADL-dependency, IADL-dependency, and malnutrition remained significant. Preoperative frailty was associated with increased rates of postoperative adverse events. A higher CCI grade was an independent predictor for 90-day major complications, while Fried frailty and MNA-SF scores <12 were predictive of poor postoperative recovery. Frail older patients had more adverse post-ERAS outcomes after TLIF compared to non/prefrail older patients. Continued research and multidisciplinary collaboration will be essential to refine and optimize protocols for surgical care in frail older adults.

A falls recognition framework based on faster R-CNN and temporal action sequences that can be deployed on home service robots

With the popularity of home service robots (e.g. floor sweepers), robots should be considered to have more features for older adult care. Compared to fixed home monitors with a limited field of view, fall detection with service robots is an ideal solution to keep older adults and disabled people within sight. However, the user’s actions, such as lying on the bed to sleep or slumping on the sofa to rest, cause the traditional fall detection system to generate false alarms, which disrupts the user’s family life. The present work proposed an enhanced faster R-convolutional neural network (CNN) network by incorporating temporal action sequences and fall acceleration computation, demonstrating a reduced misjudgment rate on the service robot platform. Firstly, motion images were captured to obtain the target’s motion area description and action timing at the input stage. Then, the faster R-CNN algorithm was implemented to check the suspected falls further based on the falling acceleration of the detected actions during the training phase. Finally, the proposed temporal action sequences module eliminated the action mistaken for falling. Network training and robotic platform testing demonstrated that the proposed approach distinguished between falls and false alarms, which mitigated the occurrence of false positives. On the service robot platform, experimental results showed that the FAR was 8.19 and processing time was 0.79 s.

Collaborative Care for Injured Older Adults

Older adults with recent injuries can have impaired long-term biopsychosocial function and may benefit from interventions adapted to their needs. To determine if a collaborative care intervention, Trauma Medical Home (TMH), improved the biopsychosocial function of older patients in the year after injury. This was a single-blinded, randomized clinical trial conducted at 4 level I trauma centers in Indianapolis, Indiana, and Madison, Wisconsin. Between October 2017 and October 2021, patients aged 50 years and older with an Injury Severity Score (ISS) of 9 or greater and without traumatic brain or spinal cord injury were enrolled. Exclusions were significant brain injury or a spinal cord injury with a persistent neurologic deficit at the time of enrollment, extensive burns, pregnancy, incarceration, neurodegenerative disease, visual or auditory impairment that would preclude study participation, a life expectancy of less than 1 year, significant alcohol or drug use history, and acute stroke during admission. Of 10 276 patients screened, 430 were randomized and 299 completed 12-month follow-up. Data were analyzed from March to July 2023. Intervention patients received 6 months of TMH delivered by a nurse care coordinator guided by an interdisciplinary team (trauma surgeon, pulmonary critical care and geriatrician physicians, nurses, and psychologist) in partnership with primary care. The care coordinator used standard protocols to monitor and treat biopsychosocial symptoms. Primary outcomes were Medical Outcome Study Short Form-36 (SF-36) score and Short Physical Performance Battery (SPPB) score at 12 months. Secondary outcomes were Patient Health Questionnaire-9 (PHQ-9) score, the Generalized Anxiety Disorder scale-7 (GAD-7) score, and health care utilization. A total of 429 participants (228 [53.1%] female; mean [SD] age, 69.3 [10.8] years; mean [SD] ISS, 12.3 [4.6]) completed baseline assessments and were randomized. Follow-up was 76% (n = 324) at 6 months and 70% (n = 299) at 12 months. There were no differences between the TMH and usual care groups at 12 months in SF-36 Physical Component Summary score (mean [SD], 40.42 [12.82] vs 39.18 [12.43]), SF-36 Mental Component Summary score (mean [SD], 53.92 [10.02] vs 53.21 [10.82]), or SPPB score (mean [SD], 8.00 [3.60] vs 8.28 [3.88]). Secondary outcomes were also no different. Planned subgroup analysis revealed patients with baseline symptoms of anxiety or depression (high GAD-7 and PHQ-9 scores) experienced improvement in the Mental Component Summary score when randomized to the TMH intervention. The TMH intervention did not significantly influence quality of life, depressive and anxiety symptoms, or physical function of older adults with injury at 12 months. Subgroup analysis showed positive impact in patients with a high burden of anxiety and depression symptoms at enrollment. Collaborative care interventions may improve long-term outcomes of select patients, but further research is needed. ClinicalTrials.gov Identifier: NCT03108820.

Implementation of digital health technologies for older adults: a scoping review

The critical importance of technological innovation in home care for older adults is indisputable. Less well understood is the question of how to measure its performance and impact on the delivery of healthcare to older adults who are living with chronic illness and disability. Knowing how well digital technologies, such as smartphones, tablets, wearable devices, and Ambient Assisted Living Technologies (AAL) systems “work” should certainly include assessing their impact on older adults’ health and ability to function in daily living but that will not guarantee that it will necessarily be adopted by the user or implemented by a healthcare facility or the healthcare system. Technology implementation is a process of planned and guided activities to launch, introduce and support technologies in a certain context to innovate or improve healthcare, which delivers the evidence for adoption and upscaling a technology in healthcare practices. Factors in addition to user acceptance and clinical effectiveness require investigation. Failure to appreciate these factors can result in increased likelihood of technology rejection or protracted procurement decision at the “adoption decision” stage or delayed or incomplete implementation or discontinuance (following initial adoption) during implementation. The aim of our research to analyze research studies on the effectiveness of digital health technologies for older adults to answer the question, “How well do these studies address factors that affect the implementation of technology?” We found common problems with the conceptualization, design, and methodology in studies of digital technology that have contributed to the slow pace of implementation in home care and long-term care. We recommend a framework for improving the quality of research in this critical area.Systematic Review Registration:https://archive.org/details/osf-registrations-f56rb-v1, identifier osf-registrations-f56rb-v1.

Exploring the causal relationship between gut microbiota and frailty: a two-sample mendelian randomization analysis

BackgroundFrailty is a complex geriatric syndrome that seriously affects the quality of life of older adults. Previous observational studies have reported a strong relationship of frailty with the gut microbiota; however, further studies are warranted to establish a causal link. Accordingly, we aimed to conduct a bidirectional Mendelian randomization study to assess the causal relationship between frailty, as measured by the frailty index, and gut microbiota composition.MethodsInstrumental variables for the frailty index (N = 175, 226) and 211 gut bacteria (N = 18,340) were obtained through a genome-wide association study. A two-sample Mendelian randomization analysis was performed to assess the causal relationship of gut microbiota with frailty. Additionally, we performed inverse Mendelian randomization analyses to examine the direction of causality. Inverse variance weighting was used as the primary method in this study, which was supplemented by horizontal pleiotropy and sensitivity analyses to increase confidence in the results.ResultsBacteroidia (b = −0.041, SE = 0.017, p = 0.014) and Eubacterium ruminantium (b = −0.027, SE = 0.012, p = 0.028) were protective against frailty amelioration. Additionally, the following five bacteria types were associated with high frailty: Betaproteobacteria (b = 0.049, SE = 0.024, p = 0.042), Bifidobacterium (b = 0.042, SE = 0.016, p = 0.013), Clostridium innocuum (b = 0.023, SE = 0.011, p = 0.036), E. coprostanoligenes (b = 0.054, SE = 0.018, p = 0.003), and Allisonella (b = 0.032, SE = 0.013, p = 0.012). Contrastingly, frailty affected Butyrivibrio in the gut microbiota (b = 1.225, SE = 0.570, p = 0.031). The results remained stable within sensitivity and validation analyses.ConclusionOur findings strengthen the evidence of a bidirectional causal link between the gut microbiota and frailty. It is important to elucidate this relationship to optimally enhance the care of older adults and improve their quality of life.

Editorial: Innovations in older adult care and health service management: a focus on China

Editorial: Innovations in older adult care and health service management: a focus on China

Nurse-led Telephonic Case Management versus Outpatient Palliative Care in Older Adults with Serious Illness (SAPLEN 101)

Nurse-led Telephonic Case Management versus Outpatient Palliative Care in Older Adults with Serious Illness (SAPLEN 101)

Nurse-led Telephonic Case Management versus Outpatient Palliative Care in Older Adults with Serious Illness

Nurse-led Telephonic Case Management versus Outpatient Palliative Care in Older Adults with Serious Illness

Care Needs of Older Adults With Urinary Incontinence: A Cross-Sectional Study.

To explore care requirements of older adults with urinary incontinence (UI) and contributing factors. This cross-sectional study used the Older Adults Urinary Incontinence Care Needs Inventory to survey participants with UI in three large-scale tertiary hospitals located in Guangzhou City, China, from January 2023 to November 2023. Statistical analyses, including analysis of variance, t tests, correlation analyses, and linear regression models, were conducted to assess factors influencing participants' care needs. A total of 530 older adults with UI participated in the survey and mean standardized score for overall care needs was 78.65 (SD = 5.01), with mean scores for each dimension ranging from 70.88 (SD = 10.55) for social participation needs to 82.45 (SD = 7.11) for health education needs. Factors that were found to influence incontinence care needs in older adults included age, literacy level, number of leaks, and type of disease (F = 37.07, adjusted R2 = 0.290, p < 0.001). Comprehensive care for older adults with UI, encompassing physiological, psychological, and social aspects, is crucial. It is essential to tailor care to individual needs and characteristics, taking into account factors, such as age and education, to ensure effective care. [Journal of Gerontological Nursing, 50(5), 43-49.].

Frailty Predicts Dementia and Death in Older Adults Living in Long-Term Care

ObjectivesTo investigate how the accumulation of deficits traditionally related and not traditionally related to dementia predicts dementia and mortality. DesignA retrospective cohort study with up to 9 years of follow-up. Setting and ParticipantsLong-term care residents aged ≥65 with or without dementia. MethodsFrailty indices based on health deficit accumulation were constructed. The FI-t consisted of 27 deficits traditionally related to dementia; the FI-n consisted of 27 deficits not traditionally related to dementia; the FI-a consisted of all 54 deficits taken from the FI-t and the FI-n. ResultsIn this long-term care sample (n = 29,758; mean age = 84.6 ± 8.0; 63.8% female), 91% of the residents had at least 1 impairment in activities of daily living, 61% had a diagnosis of dementia, and the vast majority were frail (53% had FI-a > 0.2). Residents with dementia had a higher FI-t compared with those without dementia (0.278 ± 0.110 vs. 0.272 ± 0.108), whereas residents without dementia had a higher FI-n (0.143 ± 0.082 vs. 0.136 ± 0.079). Within 9 years, 97% of the sample had died; a 0.01 increase of the FI-a was associated with a 4% increase of the mortality risk, adjusting for age, sex, admission year, stay length, and dementia type. Residents who developed dementia after admission to long-term care had higher baseline FI-t and FI-a (P's < .003) than those who remained without dementia. Conclusions and ImplicationsFrailty is highly prevalent in older adults living in long-term care, irrespective of the presence or absence of dementia. Accumulation of deficits, either traditionally related or unrelated to dementia, is associated with risks of death and dementia, and more deficits increases the probability. Our findings have implications for improving the quality of care of older adults in long-term care, by monitoring the degree of frailty at admission, managing distinct needs in relation to dementia, and enhancing frailty level-informed care and services.

Symptom burden, service use and care dissatisfaction among older adults with cancer, cardiovascular disease, respiratory disease, dementia and neurological disease during the last 3 months before death: A pooled analysis of mortality follow-back surveys.

Variation in the provision of care and outcomes in the last months of life by cancer and non-cancer conditions is poorly understood. (1) To describe patient conditions, symptom burden, practical problems, service use and dissatisfaction with end-of-life care for older adults based on the cause of death. (2) To explore factors related to these variables focussing on the causes of death. Secondary analysis of pooled data using cross-sectional mortality follow-back surveys from three studies: QUALYCARE; OPTCare Elderly; and International Access, Right, and Empowerment 1. Data reported by bereaved relatives of people aged ⩾75 years who died of cancer, cardiovascular disease, respiratory disease, dementia or neurological disease. The pooled dataset contained 885 responses. Overall, service use and circumstances surrounding death differed significantly across causes of death. Bereaved relatives reported symptom severity from moderate to overwhelming in over 30% of cases for all causes of death. Across all causes of death, 28%-38% of bereaved relatives reported some level of dissatisfaction with care. Patients with cardiovascular disease and dementia experienced lower symptom burden and dissatisfaction than those with cancer. The absence of a reliable key health professional was consistently associated with higher symptom burden (p = 0.002), practical problems (p = 0.001) and dissatisfaction with care (p = 0.001). We showed different trajectories towards death depending on cause. Improving symptom burden and satisfaction in patients at the end-of-life is challenging, and the presence of a reliable key health professional may be helpful.

Agents of Change: Geriatrics Workforce Programs Addressing Systemic Racism and Health Equity.

Many factors impact how individuals and populations age, including race, ethnicity and diversity, which can contribute to increased disease risk, less access to quality health care, and increased morbidity and mortality. Systemic racism - set of institutional policies and practices within a society or organization that perpetuate racial inequalities and discrimination - contributes to health inequities of vulnerable populations, particularly older adults. The National Association of Geriatrics Educators (NAGE) recognizes the need to address and eliminate racial disparities in healthcare access and outcomes for older adults who are marginalized due to the intersection of race and age. In this paper, we discuss an anti-racist framework that can be used to identify where an organization is on a continuum to becoming anti-racist and to address organizational change. Examples of NAGE member Geriatric Workforce Enhancement Programs (GWEPS) and Geriatrics Academic Care Awardees (GACA) activities to become anti-racist are provided to illustrate the framework and to guide other workforce development programs and healthcare institutions as they embark on the continuum to become anti-racist and improve the care and health of vulnerable older adults.

Reframing Fall Prevention and Risk Management as a Chronic Condition through the Lens of the Expanded Chronic Care Model: Will Integrating Clinical Care and Public Health Improve Outcomes?

Falls are a leading cause of morbidity and mortality among adults aged 65 years and older (older adults) and are increasingly recognized as a chronic condition. Yet, fall-related care is infrequently provided in a chronic care context despite fall-related death rates increasing 41% between 2012 and 2021. One of the many challenges to addressing falls is the absence of fall-focused chronic disease management programs, which improve outcomes of other chronic conditions, like diabetes. Policies, information systems, and clinical-community connections help form the backbone of chronic disease management programs, yet these elements are often missing in fall prevention. Reframing fall prevention through the Expanded Chronic Care Model (ECCM) guided by implementation science to simultaneously support the uptake of evidence-based practices could help improve the care of older adults at risk for falling. The ECCM includes seven components: 1) self-management/develop personal skills, 2) decision support, 3) delivery system design/re-orient health services, 4) information systems, 5) build healthy public policy, 6) create supportive environments, and 7) strengthen community action. Applying the ECCM to falls-related care by integrating healthcare delivery system changes, community resources, and public policies to support patient-centered engagement for self-management offers the potential to prevent falls more effectively among older adults.