Because growing older should never mean growing invisible 🌍

Support our mission. Be a part of the change 🙌

#ChildHelpFoundation #ElderlyCare #MedicalCamp #CareWithCompassion #ServeHumanity #CompassionInAction

Leveraging Digital Health Technologies to Assess Older Adults’ Frailty and Nutritional Status: Two Cross-Sectional Studies Background: With the rising prevalence of aging worldwide, there is a necessity for reliable and frequent assessments of older individuals’ health status to manage and potentially prevent age-related complications. Digital health technologies (DHTs), such as wearable devices, provide an opportunity to gather objective, continuous, and unobtrusive measurements, enabling effective health management in everyday life. Objective: We aimed to evaluate the relationship between digital endpoints and frailty, nutritional status, and patient-reported outcomes (PROs) in older individuals, as well as quantified their compliance and comfort with DHTs. Methods: In two cross-sectional studies, namely the Geriatric Anorexia Studies 1 and 2, including three in-clinic visits and 2-3 weeks of at-home monitoring, 94 participants (mean age 72.98 years, SD 6.28 years) were stratified based on their frailty status (n=39, 41%, nonfrail; n=45, 48%, prefrail; and n=10, 11%, frail) and nutritional status (n=70, 74%, with normal nutrition and n=24, 26%, at risk for malnutrition), as assessed in a clinical setting using the Fried Frailty Score and the Simplified Nutritional Appetite Questionnaire, respectively. We remotely monitored older adults using different DHTs. At home, participants were monitored with a wrist accelerometer for physical activity, continuous glucose monitoring (CGM) for glucose concentration, a digital body scale for weight and body composition, and a digital nutritional scale for meal tracking. Compliance with devices was assessed via wear time and correct at-home usage, while comfort was evaluated using questionnaires. The association between digital endpoints and frailty/nutritional status was investigated via linear regression, followed by ANOVA, and the relationship between digital endpoints collected at home and PROs was evaluated via Spearman’s ρ. Weight and body composition were also assessed during in-clinic visits with a research-grade scale, used to validate the at-home digital body scale measurements, via the intraclass correlation coefficient, Pearson’s R, and Bland-Altman plots with mean bias. Results: Physical activity digital endpoints collected at home were significantly different across frailty and nutritional groups and significantly correlated with self-reported appetite, fatigue, and physical function (eg, for mean daily activity in the maximum 60 minutes of activity, ρ=0.28, –0.23, and 0.47, respectively). More than 80% of participants reported that all devices were mostly to very acceptable to wear/use: 95% (88/93) for the body scale, 86% (43/50) for CGM, 80% (40/50) for the nutrition scale, and 91% (84/93) for the wrist accelerometer. Compliance ranged from 60% of monitoring days for the digital nutrition scale to 90% for the wrist accelerometer. Conclusions: Physical activity digital endpoints show clear prognostic significance for frailty and malnutrition in older individuals and reflect self-reported measures. DHTs can be reliably deployed at home for older individuals to measure their physical activity, weight and body composition, glucose concentration, and meal intakes, thus enabling patient-centric, data-centric clinical trials. Clinical Trial: ClinicalTrials.gov NCT04858932; https://clinicaltrials.gov/study/NCT04858932; ClinicalTrials.gov NCT05211973; https://clinicaltrials.gov/study/NCT05211973

New in JMIR Aging: Leveraging Digital Health Technologies to Assess Older Adults’ Frailty and Nutritional Status: Two Cross-Sectional Studies #DigitalHealth #ElderlyCare #AgingPopulation #WearableTech #HealthManagement

How Much Does Visiting Care Cost in the UK?
https://htrcare.com/blogs/visiting-care-cost-uk
#HTRCare #HomeCare #ElderlyCare #CareAtHome #UKCare

‘Pressing need’ for post of minister for older people to be reinstated – charity Age Scotland is campaigning for the position to be restored after the May 7 Scottish election.

Is it time to reinstate a minister for older people? A charity urges action ahead of the Holyrood election! #ElderlyCare

news.stv.tv/politics/pressing-need-f...

Parole board grants medical parole to two elderly inmates with nursing-home placements pending Social Security documentation The Committee on Parole granted medical parole on April 15, 2026 to two elderly, medically fragile inmates — Odell Davis and Jeffrey Neil — with both men approved for placement at Capital Oaks Nursing Home pending Social Security documentation.

In a historic decision, the Louisiana Parole Board grants medical parole to two elderly inmates, paving the way for their transition to nursing care amidst severe health challenges.

Learn more here

#LA #CivicAccountability #CitizenPortal #ElderlyCare #LouisianaParole #MedicalParole

Cindy's Job At The Birch Street Nursing Home I didn't get much sleep last night, because I was worried about the head nurse's response to my letter about the activity room. After a lot ...

Kiddies, Cindy is continuing her good work over at the Birch Street Nursing Home. Visit Grandmother's Fanny Game now to read her latest post: grandmothersfannygame.blogspot.com/2026/04/cind... #Cindy #elderly #ElderlyCare

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study Background: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services and enhancing long-term sustainability. This study proposes an adaptive reinforcement learning (RL)-based framework to promote precision digital care by dynamically assigning care programs based on individuals’ unique characteristics and evolving needs. Its effectiveness was evaluated through simulation-based experiments comparing multiple allocation methods within an artificial intelligence (AI)-powered care call service for older adults. Objective: This study aimed to develop and evaluate an RL-based model for personalizing digital care program allocation to optimize care engagement and health outcomes among low-income older adults living alone. Methods: We developed the framework by using contextual bandits, specifically Thompson Sampling, to maximize user outcomes. Four program allocation strategies were tested using a synthetic dataset of user features and program attributes. Simulations were conducted over multiple iterations to evaluate how the model adapts over time and optimizes program assignments compared with static methods. Results: Four program allocation methods were compared across 100 simulation runs (n=3000 assignments per run) using 2 datasets (AI Call: n=1196; Community Health Survey [CHS]: n=72,812): (1) systematic allocation (baseline), (2) single best program based on population average, (3) idealized personalized delivery (theoretical upper bound), and (4) precision digital care using Thompson Sampling. Precision digital care outperformed baseline and population-average approaches, achieving outcomes comparable to the theoretical upper bound. Compared to systematic allocation, call success rates increased by 84.2% (AI Call) and 54.4% (CHS), Patient Health Questionnaire-2 depression scores decreased by 32.1% (AI Call) and 41.4% (CHS), and self-reported health scores improved by 19% (AI Call) and 22% (CHS). It also showed improved learning efficiency, refining assignments dynamically as it learned from user responses. Conclusions: Our findings emphasize the importance of personalization in digital care. We plan to refine and validate the model through a publicly funded AI care program for community-dwelling, low-income older adults living alone in the Republic of Korea. RL offers a scalable and effective approach to advance precision digital care delivery and support future innovations in aging services. Trial Registration:

New in JMIR Aging: Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study #DigitalCare #ReinforcementLearning #ElderlyCare #HealthTech #PersonalizedCare

Engaged Buddhism: Mahabodhi International Meditation Centre to Manage Home for the Elderly in Ladakh - Buddhistdoor Global The Mahabodhi International Meditation Centre, under the guidance of Ven. Bhikkhu Sanghasena, will manage a new home for the elderly in Ladakh.

BDG News: Engaged Buddhism: Mahabodhi International Meditation Centre to Manage Home for the Elderly in Ladakh

🔗 Read more: tinyurl.com/mr3e6ava

#Buddhism #EngagedBuddhism #Elderly #ElderlyCare #Compassion #Ladakh #Leh #MIMC #CareHome

How Much Does Overnight Care Cost in the UK?
https://htrcare.com/blogs/overnight-care-cost-uk
#HTRCare #HomeCare #ElderlyCare #CareAtHome #UKCare

Pay for childcare.
Pay for Medicare.
Pay for Medicaid.
But somehow there’s always money for that Burger Reich eyesore.
Get the f#ck outta here with that BS.

#BS #Poor #sick #hungy #elderlycare

Some memories fade…
but sibling ones never do ❤️


#SiblingsDay #FamilyBond #CareMoments #ElderlyCare #Emotional

Veterans and citizens out there don’t let your money sit idle. Inflation quietly reduces its value over time. Instead, put it to work through smart, disciplined investing so it can grow and generate more for you. #ElderlyCare
#SeniorCitizens
#HealthyAging
#AgeWithGrace
#GoldenYears
#veteran’s

Struggling with everyday tasks?
Our home care services help seniors stay safe, independent, and comfortable at home.

📞 01704 808227
🌐 eroshomecare.co.uk

#HomeCare #ElderlyCare #SupportAtHome #ErosHomecare

The 5 Signs An Aging Parent Can’t Live Alone How To Tell if An Elderly Parent Needs Help

My latest Substack - The signs that an aging relative can't live alone. portandsava.substack.com/p/the-5-sign... #elderlycare #eldercare #Guardianship

More coordinated support needed for Sabah elderly care homes, says minister PAPAR (April 8): Elderly care homes in Sabah continue to face operational constraints despite receiving government assistance, highlighting the need for stronger coordination and broader support, said State Women, Health and People’s Wellbeing Minister Datuk Julita Majungki. She said her visit to the Sri Pritchard Elderly Home in Kinarut today revealed gaps in funding and basic facilities that require sustained attention. “Government assistance is provided, but it is not sufficient to fully support operations. There is a need for more coordinated support involving the community, Non-Governmental Organisations (NGOs) and the private sector,” she said. Julita said issues such as water […]

More coordinated support needed for Sabah elderly care homes, says minister #ElderlyCare #Sabah #CommunitySupport #NGOs #Healthcare

Recently at Sonas Tullow 🦉
Owls, a hawk, and plenty of smiles 💚

#SonasTullow #CareWithHeart #ElderlyCare #SeniorLiving #CompassionateCare

How Much Does Waking Night Care Cost in the UK?
https://htrcare.com/blogs/waking-night-care-cost-uk
#HTRCare #HomeCare #ElderlyCare #CareAtHome #UKCare

Edge Of Humanity Magazine On Patrizia Riviera And Her Project Until Memory Do Us Part

#DocumentaryPhotography #ElderlyCare #MentalIllness #Dementia #Aging #MemoryLoss #FamilyCare #Caregiving #PersonalDocumentary #Grief #Covid19Impact #SocialIsolation

How Much Does In-Home Dementia Care Cost in 2026?
https://htrcare.com/blogs/dementia-home-care-costs-uk
#HTRCare #HomeCare #ElderlyCare #CareAtHome #UKCare

April Fools energy aside…

The best part of care is not always the tasks.
It is the moments in between.

The laughs. The ease. The human side of it.

#htrcare #AprilFools #HomeCareUK #ElderlyCare #homecare

Cindy's Job At The Birch Street Nursing Home I knew something was wrong the moment I got to the Birch Street Nursing Home this morning. All the patients were gathered in the hall by the...

Kiddies, Cindy is continuing her good work over at the Birch Street Nursing Home. Visit Grandmother's Fanny Game to read her latest post: grandmothersfannygame.blogspot.com/2026/03/cind... #Cindy #elderly #ElderlyCare

Depressed elderly adults are almost 5 times more likely to develop Alzheimer’s Older adults diagnosed with depression face a severe risk of cognitive decline. A new longitudinal study reveals that depressed elderly individuals are nearly five times more likely to develop Alzheimer’s disease than their non-depressed peers.

Depressed elderly adults are almost 5 times more likely to develop Alzheimer’s #Science #HealthandMedicine #MentalHealth #Alzheimers #ElderlyCare

www.psypost.org/depressed-elderly-adults...

Attitudes Toward Digital Meal Assistance Services Among Older Adults in China: Cross-Sectional Survey Background: Digital eldercare services are promoted to address gaps in traditional care provision, yet actual uptake among older adults remains limited. Prior research has largely focused on technological attributes, with less attention to older adults’ context-specific behavioral attitudes toward digital services. Objective: This study aimed to identify the multidimensional structure of older adults’ behavioral attitudes toward digital meal assistance services and to examine their associations with usage intention and actual use. Methods: A mixed-mode survey was conducted in 2020 among adults aged 60 years or older in a large metropolitan city in China. A total of 1019 valid questionnaires were collected (n=405 online and n=614 offline). Exploratory factor analysis was used to identify attitudinal dimensions, followed by binary logistic regression analyses conducted separately for online and offline samples, controlling for sociodemographic characteristics. Results: Five attitudinal dimensions were identified, explaining 60.38% of the variance. Regression analyses showed that associations between attitudinal dimensions and service use differed by usage stage and sample type. Digital trust was the most consistent predictor, significantly associated with intention to use in both samples—particularly online (odds ratio [OR] 1.351, 95% CI 1.054‐1.732; =.02)—and with actual use in the offline sample (OR 1.068, 95% CI 1.011‐1.128; =.02), with a marginal association online (OR 1.347, 95% CI 0.986‐1.840; =.06). Conclusions: Older adults’ adoption of digital meal assistance services is shaped by multidimensional and context-dependent attitudes that extend beyond technological considerations. Policy efforts should therefore emphasize trust-building, affordability, and differentiated strategies tailored to diverse groups of older adults.

New in JMIR Aging: Attitudes Toward Digital Meal Assistance Services Among Older Adults in China: Cross-Sectional Survey #DigitalEldercare #SeniorServices #AgingPopulation #MealAssistance #ElderlyCare

Artificial Intelligence–Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada Wound care is an increasing global challenge, with older adults among those most affected. As populations age, the demand for effective and efficient wound care increases. Over the years, various wound assessment and care techniques have been developed, including digital wound care technology (DWCT), which uses innovative artificial intelligence (AI). Many older adults, especially those living in rural and remote areas, face significant barriers in obtaining timely and effective wound care, leading to poorer health outcomes and increased health care costs related to wound care. These challenges underscore the urgent need to implement wound care models that equitably improve access to care and enhance clinical outcomes, particularly for older adults, to promote healthy aging and age-in-place. Based on evidence from the literature and the initial implementation of a DWCT in 2 community health systems in Ontario, this viewpoint paper encourages clinicians and health care leaders to embrace and expand the implementation of an AI-driven DWCT to address inequities in access to high-quality, timely care. The experiences from these implementations indicate that the use of AI can support clinical decision-making and extend access to care for individuals in rural and remote communities in Canada. By leveraging DWCT powered by AI, health care providers can enhance the accuracy and consistency of wound assessments, improve communication, streamline care processes, and more effectively allocate resources, ultimately aiming to reduce disparities in wound care outcomes.

New in JMIR Nursing: Artificial Intelligence–Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada #ArtificialIntelligence #WoundCare #HealthyAging #ElderlyCare #RuralHealth

Artificial Intelligence–Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada Wound care is an increasing global challenge, with older adults among those most affected. As populations age, the demand for effective and efficient wound care increases. Over the years, various wound assessment and care techniques have been developed, including digital wound care technology (DWCT), which uses innovative artificial intelligence (AI). Many older adults, especially those living in rural and remote areas, face significant barriers in obtaining timely and effective wound care, leading to poorer health outcomes and increased health care costs related to wound care. These challenges underscore the urgent need to implement wound care models that equitably improve access to care and enhance clinical outcomes, particularly for older adults, to promote healthy aging and age-in-place. Based on evidence from the literature and the initial implementation of a DWCT in 2 community health systems in Ontario, this viewpoint paper encourages clinicians and health care leaders to embrace and expand the implementation of an AI-driven DWCT to address inequities in access to high-quality, timely care. The experiences from these implementations indicate that the use of AI can support clinical decision-making and extend access to care for individuals in rural and remote communities in Canada. By leveraging DWCT powered by AI, health care providers can enhance the accuracy and consistency of wound assessments, improve communication, streamline care processes, and more effectively allocate resources, ultimately aiming to reduce disparities in wound care outcomes.

New in JMIR Nursing: Artificial Intelligence–Enhanced Wound Care to Improve Access, Efficacy, and Equity in Wound Care for Older Adults in Rural and Remote Regions of Canada #ArtificialIntelligence #WoundCare #HealthyAging #ElderlyCare #RuralHealth

There is always money for war!
When are we going to prioritize the American people and not death for profit!
Living-Breathing Photography. (c)
#stopwar
#UniversalHealthcare
#veteranshealth
#childcare
#education
#AffordableHousing
#foodassistance
#ELDERLYCARE

Take a pledge | Ageing With Dignity Department of Social Justice & Empowerment - Government of India Department of Social Justice & Empowerment

scw.dosje.gov.in/pledge
At HattaKatta we believe in caring for Senior Citizens!
#seniorcare #elderlycare #india