Home Assessment Research Articles

In-home Gait Abnormality Detection through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning.

Detecting gait abnormalities is crucial for assessing fall risks and early identification of neuromusculoskeletal disorders such as Parkinson's and stroke. Traditional assessments in gait clinics are infrequent and pose barriers, particularly for disadvantaged populations. Previous efforts have explored sensor-based approaches for in-home gait assessments, yet they face limitations such as visual obstructions (cameras), limited coverage (pressure mats), and the need for device carrying (wearables and insoles). To overcome these limitations, we introduce an in-home gait abnormality detection system using footstep-induced floor vibrations, enabling low-cost, non-intrusive, device-free gait health monitoring. The main research challenge is the high uncertainty in floor vibrations due to gait variations among people, making it challenging to develop a generalizable model for new patients. To address this, we analyze time-frequency-domain features of floor vibration data during specific gait phases and develop a feature transformation method through contrastive learning to address the between-people gait variation challenge. Our method transforms the features from vibrations to an embedding space where samples from different people stay close to each other (robust to people variation) while normal and abnormal gait samples are far apart (sensitive to gait abnormality). After that, gait abnormalities are detected by a downstream classifier after feature transformation. We evaluated our approach through a real-world walking experiment with 21 participants and achieved an 85% to 95% mean accuracy in detecting various gait abnormalities. This novel method overcomes prior limitations in in-home gait assessments, offering accessible gait abnormality detection without the need for intrusive devices or labels for new patients.

Development of the Home Environmental Scale of Accessibility Instrument for Spain.

Universal accessibility is one of the most active lines of intervention for people with disabilities and older adults. This accessibility has become a topic of growing interest regarding home access and use. Therefore, the main objective of this study was to create and validate a home assessment tool: the HESA II. The study was conducted in four phases: (1) agreement on variables by an expert panel; (2) development of 90 items according to the AOTA framework; (3) pilot test with n = 20; and (4) final study with 156 subjects where confirmatory factor analysis was performed. The tool consisted of 85 items divided into five subscales related to each of the main spaces of Spanish homes: living room; kitchen; bedroom; and bathroom. The tool demonstrates good psychometric properties of reliability. The HESA II assesses home accessibility based on limitations in activity and participation restriction of the evaluated person as per the International Classification of Functioning, Disability, and Health rather than on a diagnosis, making it applicable to a wide range of groups.

Effects of multidisciplinary inpatient rehabilitation on everyday life physical activity and gait in patients with multiple sclerosis

BackgroundMultiple sclerosis is a progressive neurological disease that affects the central nervous system, resulting in various symptoms. Among these, impaired mobility and fatigue stand out as the most prevalent. The progressive worsening of symptoms adversely alters quality of life, social interactions and participation in activities of daily living. The main objective of this study is to bring new insights into the impact of a multidisciplinary inpatient rehabilitation on supervised walking tests, physical activity (PA) behavior and everyday gait patterns.MethodsA total of 52 patients, diagnosed with multiple sclerosis, were evaluated before and after 3 weeks of inpatient rehabilitation. Each measurement period consisted of clinical assessments and 7 days home monitoring using foot-mounted sensors. In addition, we considered two subgroups based on the Expanded Disability Status Scale (EDSS) scores: ‘mild’ (EDSS < 5) and ‘severe’ (EDSS ≥ 5) disability levels.ResultsSignificant improvements in fatigue, quality of life and perceived mobility were reported. In addition, walking capacity, as assessed by the 10-m walking test, two-minute walk test and timed-up-and-go test, improved significantly after rehabilitation. Regarding the home assessment, mildly disabled patients significantly increased their locomotion per day and complexity of daily PA pattern after rehabilitation, while severely disabled patients did not significantly change. There were distinct and significant differences in gait metrics (i.e., gait speed, stride length, cadence) between mildly and severely disabled patients, but the statistical models did not show a significant overall rehabilitation effect on these gait metrics.ConclusionInpatient rehabilitation showed beneficial effects on self-reported mobility, self-rated health questionnaires, and walking capacity in both mildly and severely disabled patients. However, these improvements do not necessarily translate to home performance in severely disabled patients, or only marginally in mildly disabled patients. Motivational and behavioral factors should also be considered and incorporated into treatment strategies.

The role of Medicaid home- and community-based services in use of Medicare post-acute care.

Medicaid-funded long-term services and supports are increasingly provided through home- and community-based services (HCBS) to promote continued community living. While an emerging body of evidence examines the direct benefits and costs of HCBS, there may also be unexplored synergies with Medicare-funded post-acute care (PAC). This study aimed to provide empirical evidence on how the use of Medicaid HCBS influences Medicare PAC utilization among the dually enrolled. National Medicare claims, Medicaid claims, nursing home assessment data, and home health assessment data from 2016 to 2018. We estimated the relationship between prior Medicaid HCBS use and PAC (skilled nursing facilities [SNF] or home health) utilization in a national sample of duals with qualifying index hospitalizations. We used inverse probability weights to create balanced samples on observed characteristics and estimated multivariable regression with hospital fixed effects and extensive controls. We also conducted stratified analyses for key subgroups. The primary sample included 887,598 hospital discharges from community-dwelling duals who had an eligible index hospitalization between April 1, 2016, and September 30, 2018. We found HCBS use was associated with a 9 percentage-point increase in the use of home health relative to SNF, conditional on using PAC, and a meaningful reduction in length of stay for those using SNF. In addition, in our primary sample, we found HCBS use to be associated with an overall increase in PAC use, given that the absolute increase in home health use was larger than the absolute decrease in SNF use. In other words, the use of Medicaid-funded HCBS was associated with a shift in Medicare-funded PAC use toward home-based settings. Our findings indicate potential synergies between Medicaid-funded HCBS and increased use of home-based PAC, suggesting policymakers should cautiously consider these dynamics in HCBS expansion efforts.

From Hospital to Home: Validating a Cognitive-Functional Evaluation of Elders (COFEE-HD).

Background. Increase in hospitalizations of older adults emphasizes the need for efficient hospital discharge planning to enable optimal reentry upon returning home. Yet few assessments offer an extensive picture of the older adult's functional-cognitive state. A comprehensive assessment for discharge planning together with a written summary can be beneficial to the older adult and family. Purpose. This quantitative study compared a modified version of a previously validated tool COFEE (cognitive OT functional evaluation of elders), for use in the hospital, HD (hospital discharge) with standard hospitals assessments. Methods. Of the 77 participants recruited in hospital, home assessments were conducted 4 months later on 64 participants. Findings. The COFEE-HD scores (physical functioning, personal and environmental safety and meta cognitive functioning) were significantly correlated with standard hospital measures and with the home assessment. Implications. The COFEE-HD was found to have a high level of validity in a hospital setting, and the resulting evaluation can provide important insights into function, safety and cognitive function for post-discharge behaviors.

Detecting the symptoms of Parkinson’s disease with non-standard video

BackgroundNeurodegenerative diseases, such as Parkinson’s disease (PD), necessitate frequent clinical visits and monitoring to identify changes in motor symptoms and provide appropriate care. By applying machine learning techniques to video data, automated video analysis has emerged as a promising approach to track and analyze motor symptoms, which could facilitate more timely intervention. However, existing solutions often rely on specialized equipment and recording procedures, which limits their usability in unstructured settings like the home. In this study, we developed a method to detect PD symptoms from unstructured videos of clinical assessments, without the need for specialized equipment or recording procedures.MethodsTwenty-eight individuals with Parkinson’s disease completed a video-recorded motor examination that included the finger-to-nose and hand pronation-supination tasks. Clinical staff provided ground truth scores for the level of Parkinsonian symptoms present. For each video, we used a pre-existing model called PIXIE to measure the location of several joints on the person’s body and quantify how they were moving. Features derived from the joint angles and trajectories, designed to be robust to recording angle, were then used to train two types of machine-learning classifiers (random forests and support vector machines) to detect the presence of PD symptoms.ResultsThe support vector machine trained on the finger-to-nose task had an F1 score of 0.93 while the random forest trained on the same task yielded an F1 score of 0.85. The support vector machine and random forest trained on the hand pronation-supination task had F1 scores of 0.20 and 0.33, respectively.ConclusionThese results demonstrate the feasibility of developing video analysis tools to track motor symptoms across variable perspectives. These tools do not work equally well for all tasks, however. This technology has the potential to overcome barriers to access for many individuals with degenerative neurological diseases like PD, providing them with a more convenient and timely method to monitor symptom progression, without requiring a structured video recording procedure. Ultimately, more frequent and objective home assessments of motor function could enable more precise telehealth optimization of interventions to improve clinical outcomes inside and outside of the clinic.

Pilot evaluation of a digital approach to occupational therapy home assessments: acceptability and efficiency compared with usual practice in a hospital.

Pre-discharge home assessments by occupational therapists facilitate safe and timely discharge from hospital and are associated with better health outcomes. Digital technology offers the potential to reduce duplication of documentation and improve communication and sharing of home assessment findings. This quality improvement project evaluated time-cost; clinician satisfaction and confidence; and acceptability of the use of a digital approach to home assessments. A prospective, cross-sectional design was used to compare usual practice with the digital approach across two sub-acute wards in a large metropolitan hospital in Queensland, Australia. Time to document and conduct home assessments as well as clinician satisfaction and confidence were compared using descriptive statistics. Clinician perspectives about the home assessment approaches were collected through a survey and analyzed using content analysis. Home assessment and documentation time were significantly lower for the home assessments conducted using the digital approach compared with usual practice assessments. Clinician satisfaction with using digital technology was higher. The introduction of this simple technology reduced clinicians' time to conduct home assessments and document home assessment reports. The project was well received by occupational therapy clinicians. http://links.lww.com/IJEBH/A187.

Unique Profiles of Postpartum Family Needs and Evidence of Racial and Ethnic Disparities: Insights from Community Implementation of Family Connects.

To delineate specific family needs during the postpartum period using data from Family Connects (FC), a universal home-visiting initiative, and to scrutinize potential racial and ethnic disparities in these needs. FC implementation data spanned from July 1, 2009, to August 31, 2021, in seven counties across the USA. Data encompassed nurse-led in-home assessments for 34,119 families. Nurses evaluated needs across four domains (healthcare, parenting/childcare, safe home, and parent support) comprising 12 risk factors. Overall, families reported high levels of need, and community connections were facilitated for 57% of visited families. Significant differences in need profiles between whites and minority groups were revealed, reflecting both disparity and uniqueness. Employing the Oaxaca decomposition approach, we found that racial/ethnic disparities in socioeconomic attributes were associated with racial/ethnic gaps in the need profiles. The event of giving birth is both high risk and high opportunity for preventive intervention. Home-visiting programs, as an evidence-based approach, must address the diverse spectrum of familial needs comprehensively.

Improving diagnostics using extended point-of-care testing during in-home assessments of older adults with signs of emerging acute disease: a prospective observational non-randomised pilot and feasibility study

BackgroundDelayed recognition of acute disease among older adults hinders timely management and increases the risk of hospital admission. Point-of-Care testing, including Focused Lung Ultrasound (FLUS) and in-home analysis of biological material, may support clinical decision-making in suspected acute respiratory disease. The aim of this study was to pilot test the study design for a planned randomised trial, investigate whether in-home extended use of point-of-care testing is feasible, and explore its’ potential clinical impact.MethodsA non-randomised pilot and feasibility study was conducted during September–November 2021 in Kolding Municipality, Denmark. A FLUS-trained physician accompanied an acute community nurse on home-visits to citizens aged 65 + y with signs of acute respiratory disease. The acute community nurses did a clinical assessment (vital signs, capillary C-reactive protein and haemoglobin) and gave a presumptive diagnosis. Subsequently, the physician performed FLUS, venipuncture with bedside analysis (electrolytes, creatinine, white blood cell differential count), nasopharyngeal swab (PCR for upper respiratory pathogens), and urine samples (flow-cytometry). Primary outcomes were feasibility of study design and extended point-of-care testing; secondary outcome was the potential clinical impact of extended point-of-care testing.ResultsOne hundred consecutive individuals were included. Average age was 81.6 (SD ± 8.4). Feasibility of study design was acceptable, FLUS 100%, blood-analyses 81%, PCR for upper respiratory pathogens 79%, and urine flow-cytometry 4%. In addition to the acute community nurse’s presumptive diagnosis, extended point-of-care testing identified 34 individuals with a condition in need of further evaluation by a physician.ConclusionOverall, in-home assessments with extended point-of-care testing are feasible and may aid to identify and handle acute diseases in older adults.

Physician Antipsychotic Overprescribing Letters and Cognitive, Behavioral, and Physical Health Outcomes Among People With Dementia

Antipsychotics, such as quetiapine, are frequently prescribed to people with dementia to address behavioral symptoms but can also cause harm in this population. To determine whether warning letters to high prescribers of quetiapine can successfully reduce its use among patients with dementia and to investigate the impacts on patients' health outcomes. This is a secondary analysis of a randomized clinical trial of overprescribing letters that began in April 2015 and included the highest-volume primary care physician (PCP) prescribers of quetiapine in original Medicare. Outcomes of patients with dementia were analyzed in repeated 90-day cross-sections through December 2018. Analyses were conducted from September 2021 to February 2024. PCPs were randomized to a placebo letter or 3 overprescribing warning letters stating that their prescribing of quetiapine was high and under review by Medicare. The primary outcome of this analysis was patients' total quetiapine use in days per 90-day period (the original trial primary outcome was total quetiapine prescribing by study PCPs). Prespecified secondary outcomes included measures of cognitive function and behavioral symptoms from nursing home assessments, indicators of depression from screening questionnaires in assessments and diagnoses in claims, metabolic diagnoses derived from assessments and claims, indicators of use of the hospital and other health care services, and death. Outcomes were analyzed separately for patients living in nursing homes and in the community. Of the 5055 study PCPs, 2528 were randomized to the placebo letter, and 2527 were randomized to the 3 warning letters. A total of 84 881 patients with dementia living in nursing homes and 261 288 community-dwelling patients with dementia were attributed to these PCPs. There were 92 874 baseline patients (mean [SD] age, 81.5 [10.5] years; 64 242 female [69.2%]). The intervention reduced quetiapine use among both nursing home patients (adjusted difference, -0.7 days; 95% CI, -1.3 to -0.1 days; P = .02) and community-dwelling patients (adjusted difference, -1.5 days; 95% CI, -1.8 to -1.1 days; P < .001). There were no detected adverse effects on cognitive function (cognitive function scale adjusted difference, 0.01; 95% CI, -0.01 to 0.03; P = .19), behavioral symptoms (agitated or reactive behavior adjusted difference, -0.2%; 95% CI -1.2% to 0.8% percentage points; P = .72), depression, metabolic diagnoses, or more severe outcomes, including hospitalization and death. This study found that overprescribing warning letters to PCPs safely reduced quetiapine prescribing to their patients with dementia. This intervention and others like it may be useful for future efforts to promote guideline-concordant care. ClinicalTrials.gov Identifier: NCT05172687.

Cultural Responsiveness in Assessment, Implementer Training, and Intervention in School, Home, and Community Settings: A Systematic Review

Cultural Responsiveness in Assessment, Implementer Training, and Intervention in School, Home, and Community Settings: A Systematic Review

Statin Initiation and Risk of Incident Alzheimer Disease and Cognitive Decline in Genetically Susceptible Older Adults.

The association of statin initiation with incident Alzheimer disease (AD) dementia and cognitive decline by the APOE ε4 allele is unknown. Our objective was to examine whether the association of statin initiation with incident AD dementia and cognitive decline differs by the APOE ε4 allele. This population-based longitudinal cohort study was conducted in 4 urban communities in Chicago, IL, United States, consisting of 4,807 participants. Statin initiation is based on the inspection of medications during home assessments. Clinical diagnosis for incident AD used the NINCDS-ADRDA criteria, and longitudinal measurements of global cognition consisted of episodic memory, perceptual speed, and the Mini-Mental State Examination tests. The study participants had a mean age of 72 years, consisting of 63% female individuals and 61% non-Hispanic Black individuals. During the study period, 1,470 (31%) participants reported statin initiation. In a covariate-adjusted competing risk model, statin initiation was associated with a reduced risk of incident clinical AD [hazard ratio (HR) 0.81 (95% CI 0.70-0.94)] compared with nonusers. This association was statistically significantly lower (p interaction = 0.015) among participants with the APOE ε4 allele [HR 0.60 (95% CI 0.49-0.74)] compared with those without the APOE ε4 allele [HR 0.96 (95% CI 0.82-1.12)]. The annual decline in global cognition (β = 0.021, 95% CI 0.007-0.034) and episodic memory (β = 0.020, 95% CI 0.007-0.033) was also substantially slower among participants with the APOE ε4 allele after statin initiation compared with nonusers. However, the association of statin initiation with cognitive decline was not significant among those without the APOE ε4 allele. Our findings suggest that statins might be associated with a lower risk of incident AD among individuals with the APOE ε4 allele. The benefits of statin therapy need further consideration in randomized clinical trials, especially among those with the APOE ε4 allele. This study provides Class II evidence that among those aged 65 years or older, statin initiation was associated with a reduced risk of Alzheimer disease, especially in the presence of an APOE-e4 allele.

Remote neuropsychological assessment of patients with neurological disorders and injuries—a study protocol for a cross-sectional case-control validation study

IntroductionThere are great potential benefits of being able to conduct neuropsychological assessments remotely, especially for hard-to-reach or less mobile patient groups. Such tools need to be equivalent to standard tests...

Performance Evaluation of a New Sport Watch in Sleep Tracking: A Comparison against Overnight Polysomnography in Young Adults.

Introduction: This study aimed to validate the ability of a prototype sport watch (Polar Electro Oy, FI) to recognize wake and sleep states in two trials with and without an interval training session (IT) 6 h prior to bedtime. Methods: Thirty-six participants completed this study. Participants performed a maximal aerobic test and three polysomnography (PSG) assessments. The first night served as a device familiarization night and to screen for sleep apnea. The second and third in-home PSG assessments were counterbalanced with/without IT. Accuracy and agreement in detecting sleep stages were calculated between PSG and the prototype. Results: Accuracy for the different sleep stages (REM, N1 and N2, N3, and awake) as a true positive for the nights without exercise was 84 ± 5%, 64 ± 6%, 81 ± 6%, and 91 ± 6%, respectively, and for the nights with exercise was 83 ± 7%, 63 ± 8%, 80 ± 7%, and 92 ± 6%, respectively. The agreement for the sleep night without exercise was 60.1 ± 8.1%, k = 0.39 ± 0.1, and with exercise was 59.2 ± 9.8%, k = 0.36 ± 0.1. No significant differences were observed between nights or between the sexes. Conclusion: The prototype showed better or similar accuracy and agreement to wrist-worn consumer products on the market for the detection of sleep stages with healthy adults. However, further investigations will need to be conducted with other populations.

Leveraging challenges: Advancing digital education in the digital frontier

The purpose of this study is to investigate the difficulties faced by teachers while delivering online classes and to find various strategies to address these concerns. This study also aims to examine the post-pandemic shift toward blended teaching along with traditional methods. The present study utilizes a qualitative approach. The sample of the study comprises teachers in higher education institutions (HEIs) in Punjab. Semi-structured in-depth interviews with 32 teachers were conducted regarding the challenges they face while conducting online classes. The analysis was done using ATLAS.ti version 8. The findings shed light on six different categories of the difficulties faced by teachers: teaching amidst the home setting, assessment and evaluation, students’ engagement in online learning, technical problems, personal problems faced by the teachers, and issues related to institutional support. The study also tries to illustrate the transition from online to blended teaching, which has now become a new normal or the ‘next normal,’ despite the challenges. COVID-19 is one of the most severe issues that humanity has ever encountered. The transition and acceptance process varied across countries, regions, and institutions due to local circumstances and guidelines, but it was undoubtedly a roller coaster for teachers. Different individuals gradually unfolded the challenges. Blended education offers a flexible solution that can effectively address the challenges associated with online education in the post-pandemic era.

Multi-night home assessment of sleep structure in OSA with and without insomnia

ObjectiveTo explore sleep structure in participants with obstructive sleep apnea (OSA) and comorbid insomnia (COMISA) and participants with OSA without insomnia (OSA-only) using both single-night polysomnography and multi-night wrist-worn photoplethysmography/accelerometry. MethodsMulti-night 4-class sleep-staging was performed with a validated algorithm based on actigraphy and heart rate variability, in 67 COMISA (23 women, median age: 51 years) and 50 OSA-only (15 women, median age: 51) participants. Sleep statistics were compared using linear regression models and mixed-effects models. Multi-night variability was explored using a clustering approach and between- and within-participant analysis. ResultsPolysomnographic parameters showed no significant group differences. Multi-night measurements, during 13.4 ± 5.2 nights per subject, demonstrated a longer sleep onset latency and lower sleep efficiency for the COMISA group. Detailed analysis of wake parameters revealed longer mean durations of awakenings in COMISA, as well as higher numbers of awakenings lasting 5 min and longer (WKN≥5min) and longer wake after sleep onset containing only awakenings of 5 min or longer. Within-participant variance was significantly larger in COMISA for sleep onset latency, sleep efficiency, mean duration of awakenings and WKN≥5min. Unsupervised clustering uncovered three clusters; participants with consistently high values for at least one of the wake parameters, participants with consistently low values, and participants displaying higher variability. ConclusionPatients with COMISA more often showed extended, and more variable periods of wakefulness. These observations were not discernible using single night polysomnography, highlighting the relevance of multi-night measurements to assess characteristics indicative for insomnia.

Effectiveness of and preference for a picture-based home office ergonomics assessment compared to a traditional in-person office ergonomics assessment: A case study from a Canadian University during the COVID-19 pandemic

During the COVID-19 pandemic, telework best practices decreased in importance compared to the need for social distancing. It is important that ergonomics assessments for home office workstations are equally as effective as assessment for traditional offices to maintain teleworker wellbeing. The purpose of this case study is to compare a remote, picture-based, home office assessment to a traditional, in-person, office assessment for employees of one Canadian University. Intraclass Correlation Coefficients (ICCs) and Bland-Altman Analyses (BAAs) revealed that the two methods provide repeatable results, with good agreement. Feedback from the participants suggested that picture-based assessments were as effective as in-person assessments; but that picture-based assessments could be improved with video conferencing to discuss findings and ask follow-up questions. Participants found value in remote assessments and, while they preferred in-person assessments, picture-based assessments are suitable when needed as they allow for many assessments to be completed without violating social distancing restrictions.

Remote pulmonary function testing allows for early identification of need for non-invasive ventilation in a subset of persons with ALS

The traditional ALS multidisciplinary clinical practice of quarterly respiratory assessment may leave some individuals in danger of developing untreated respiratory insufficiency between visits or beginning non-invasive ventilation (NIV) later than would be optimal. Remote, or home-based, pulmonary function testing (rPFT) allows patients with ALS to perform regular respiratory testing at more frequent intervals in the home. The aim of this study was to determine the clinical benefit of weekly rPFT compared to standard, quarterly in-clinic respiratory assessments: the number of individuals with earlier identification of NIV need, the magnitude of this advance notice, and the individual factors predicting benefit. Participants with ALS (n = 39) completed rPFT training via telemedicine and then completed one year of weekly self-guided assessments in the home. Over this period, 17 individuals exhibited remotely-measured FVC dropping below 50% of predicted, the value often used for recommendation of NIV initiation. In 13 individuals with clinical detection of this event, the median and range of advance notice of need for NIV was 53 (−61–294) days. Prescription of NIV occurred for 21 individuals on the study, six of whom began NIV as a result of remote testing, prior to indication of need as determined by in-person assessments. Weekly home assessments appeared to be of greatest clinical value in a subset of patients with low baseline respiratory test values and rapid respiratory decline. This has potential implications for clinical management of ALS as well as the conduct of clinical trials that rely on respiratory endpoints.

Abstract P470: The Virtual Home Clinic: Feasibility and Challenges for Longitudinal Cohorts

Longitudinal studies provide rich sources of data to explore early risk factors for future CV diseases. However, cohort participants often move away from their initial recruitment site. Our study assesses feasibility of mailing of devices to the home for collection of biometric data and user acceptability of this approach. Participants (N=308) from the Bogalusa Heart Study, National Growth &amp; Health Study and the Princeton Lipid Research Study who were initially enrolled as children in the 1970s and 1980s were recruited to conduct on-line surveys. A subset (N=74) had biometric measurement devices sent to the home ( Table ) for anthropometrics, BP, HR, heart rhythm, resting metabolic rate, O 2 saturation, glucose, total cholesterol, physical activity, diet, sleep duration/quality, and arterial stiffness. Stool and saliva were also collected for microbiome, and DNA. Of the 74 agreeing to participate in the home study, 62 (84%) successfully completed at least some testing. Among those 62, 72% of participants on average (range: 23% for AimStrip total cholesterol to 97% for Oragene) completed all requested readings for a given device. The total cholesterol test had the highest proportion of missing requested readings (45%). Of the 46 of 62 (74%) participants who completed the user acceptability survey, 28% preferred an in-clinic visit, 46% preferred home, and 26% did not have a preference. More males (63% vs 42% females) preferred home assessment. There was little difference between Black and White participants. On a scale of 1 (hard to use, poor directions, took too long) to 5 (easy to use, easy to follow directions, took little time), most devices scored near 4.5. The cholesterol test elicited the most negative responses, and several devices scored lower on the impression of the time it took to complete the at-home test. This feasibility study demonstrates that home biometric assessment is feasible and acceptable as we continue to follow our participants who have provided invaluable contributions to science for the last 40 years.

Extended use of point-of-care technology versus usual care for in-home assessment by acute community nurses in older adults with signs of potential acute respiratory disease: an open-label randomised controlled trial protocol

BackgroundDue to ageing-related physiological changes, diagnosing older adults is challenging. Delayed disease recognition may lead to adverse health outcomes and increased hospitalisation, necessitating the development of new initiatives for timely diagnosis and treatment of older adults. Point-of-care technology, such as focused lung ultrasound scan and bedside analysis of blood samples (leucocytes with differential count, electrolytes, and creatinine) conducted in the patients’ home, may support clinical decision-making, and potentially reduce acute hospital admissions.We present the protocol for a randomized controlled trial, which aims at assessing the effect of focused lung ultrasound scan and bedside blood analysis during in-home assessments among older adults with signs of potential acute respiratory disease on hospital admissions.MethodWe will use a parallel open-label, individually randomised controlled trial design in an acute community healthcare setting. The trial will initiate on October 2022 and is expected to end one year later. The study population will include older adults (65 + year), with at least one of the following inclusion criteria: Cough, dyspnoea, fever, fall, or rapid functional decline. Expected study sample will comprise 632 participants. Participants in the control group will receive usual care, while the intervention group will undergo extended point-of-care technology (focused lung ultrasound scan and bedside venous blood analysis), in addition to usual care.The primary outcome is acute hospital admission within 30 days follow-up. Secondary outcomes include readmissions, mortality, length of hospital stay, hospital-free days, complications during hospital admission, treatment initiations or changes, functional level, re-referrals to the acute community healthcare service, and contacts to the primary care physician. A tertiary outcome is the diagnostic accuracy of Acute Community Nurses for conducting focused lung ultrasound compared with a specialist. Outcomes will be analysed as intention-to-treat.DiscussionTo our knowledge, this is the first randomised controlled trial examining the effect of extended use of point-of-care technology conducted in an in-home setting. We expect that the results may contribute to the development of new interventions aiming to improve timely diagnostics, treatment decisions, and reduce acute hospital admissions.Trial Registration www.clinicaltrials.org NCT05546073 (Date of registration: September 19th, 2022).