Residential Settings Research Articles

SHEA practice update: infection prevention and control (IPC) in residential facilities for pediatric patients and their families.

In 2011, the Society for Healthcare Epidemiology of America (SHEA) and Ronald McDonald House Charities® (RMHC®) established a formal collaboration to develop the first IPC guideline. Both organizations agreed that RMH programs staff and other organizations operating similar programs would benefit from a standardized approach. In 2023, the collaboration was re-established to revise and update the original IPC guideline. This SHEA Practice Update on "Infection Prevention and Control (IPC) in Residential Facilities for Pediatric Patients and Their Families" addresses preventing transmission of infectious agents in "home away from home" residential settings, of which the Ronald McDonald Houses (RMHs) serve as a prototype.

Irradiance modeling of tubular ultraviolet light bulbs

Clean indoor air is crucial for human lives in residential and workplace settings, including food safety and supply chains. Since the COVID-19 outbreak, disinfecting air has become vital for the public as the SARS-CoV-2 virus and other infectious diseases transmit via inhalable aerosols. Ultraviolet (UV) light is known to be effective in disinfecting air. However, it is still challenging to properly design practical UV applications with common light design software. Visible light analysis software, AGi32, assists architectural applications. AGi32 utilizes digitized luminaire IES files to model light intensity on user-designed geometry in common far-field uses. IES files are based on far-field photometry to model light intensity at different distances and angles from the source. The common application of IES files is to model visible light intensities; however, IES files generated for UV light are still rarely available. Due to the increasing need for surface and air disinfection, modeling UV light intensity using IES files may be beneficial for designing and evaluating systems containing UV light bulbs in near-field applications. There is limited information regarding the accuracy of UV modeling in AGi32 software using IES files. Therefore, the research objectives were to (1) create IES files of a UV-C germicidal lamp (254 nm) and a visible fluorescent lamp with almost identical metrics; (2) compare the IES files output with physical UV measurements inside and outside of an air duct; (3) develop correlations between light intensities of visible and UV light bulbs. Linear correlations were observed when comparing UV irradiance and visible illuminance for both measured and modeled data. The results indicated high variability between the measured and modeled light data, signifying the importance of further investigation of potential error sources and improving the accuracy of modeling.

Care Refusal by Older Adults With Dementia Receiving Professional Care: A Scoping Review.

Care refusal behaviors by institutionalized older adults with dementia pose significant challenges for professional caregivers in residential care settings. This scoping review mapped the determinants and effects of care refusal in this population. A systematic search of five databases identified 19 studies published between 2013 and 2023. The findings indicated that personal, relational, environmental, and organizational factors influence care refusal behaviors in institutional settings. Cognitive impairment, communication difficulties, elderspeak, unfamiliar institutional environments, and task-oriented care were key determinants. Care refusal compromised health outcomes, disrupted care provision, and exacerbated neuropsychiatric symptoms in residential care facilities. Terminological inconsistencies and methodological limitations were identified as research gaps. Developing standardized terminology and person-centered strategies represents priority areas for coordinated action across policy, practice, and research to address the impact of refusal behaviors while upholding the rights of institutionalized older adults with dementia.

A Bibliometric Review of Indoor Environment Quality Research and Its Effects on Occupant Productivity (2011–2023)

Over the past decade, there has been a growing recognition of the importance of indoor environmental quality (IEQ) in influencing occupant productivity. Researchers have studied various buildings, including offices, schools, hospitals, and residential settings, to understand the relationship between IEQ and productivity outcomes. Studies have taken a multifactorial approach, considering multiple aspects of IEQ. Evidence from the literature review suggests that the quality of the indoor environment is an essential factor that affects the productivity of building occupants, and it is one of the fundamental issues in the development of societies. This area of research requires the responsible participation of researchers at all levels, as there is significant scope to contribute to knowledge. Therefore, this study aims to conduct a bibliometric analysis of the published literature on indoor environmental quality and its impact on building occupant productivity through the scientific literature available from one of the largest and most famous academic databases, Scopus; the study was determined in 2011 to 2023. The search used differential thresholds for IEQ keywords affecting building occupant productivity. Three discrete queries were performed, resulting in approximately 3861 publications. These were filtered by reducing false positives and excluding publications irrelevant to the research topic. The final results were 72 publications. This study also used Excel and VOS viewer to analyse and create graphs and network visualisation maps to show the growth of publications and their types, active countries and institutions for recovered publications, international collaboration, author keywords, active journals, and citation analysis. This study can significantly advance our understanding of building occupant productivity and enhance quality of life and work. Evaluating the research outputs is essential for highlighting contributions to knowledge and global collaboration in this research area. The potential impact of this study is not just theoretical. It can shape the future of our built environments and the lives of those occupying them.

Carer-led CBT input for young people in residential care: views of carers

ABSTRACT In the literature, there are various models of the use of CBT to support children and young people in residential settings. However, the extent of the involvement of residential staff (carers) in the implementation of CBT is unclear, and little is known about carers’ views on the use of CBT in residential care. In this exploratory study, 12 employees of a private residential care company participated in semi-structured, face-to-face interviews to give their views on a number of CBT techniques, and how carers could be supported to implement them. Thematic analysis identified three overarching themes: Difficulties of young people in residential care, Current practices to support young people in residential care, and Integration of Carer-led CBT into current practice. The study found that formal, formulation-driven CBT was not part of the carers’ current practice, however some techniques they used were broadly similar to CBT. Implications of the findings are that current practices could be expanded and enhanced through training and supervision of carers to give them more tools to support young people in residential care. Ways of integrating carer-led CBT into current practice are discussed.

Electric Field Intensity Assessment on Curved Wires for Domestic Installations

The increasing complexity of domestic electrical installations necessitates a thorough understanding of electric field intensity, particularly when dealing with curved wires. This paper presents the results on the assessment of the electric field intensity in curved wire configurations, which are commonly encountered in residential settings due to architectural constraints. This study employs both theoretical and simulation approaches with the help of the Finite Element Based Software (COMSOL Multiphysics). The theoretical and simulations were used for a case of straight wire to allow validation of the model through comparing simulation results with the theoretically computed electric field intensity using mathematical formula. Later on, the COMSOL Multiphysics were used to compute electric field intensity under various curvature radii. The results of maximum electric field intensity against curvature radii were then plotted as scatter in excel and then fitted by the equation from the trendline option. The results show that the curvature of wires significantly influences electric field distribution. The electric field intensity was observed to be much higher for a case of small curvature radius as compared to larger curvature radius. For example, for the type of the geometry presented in this paper to represent the PVC wire used in domestic buildings’ electrical installations, the maximum electric field intensity for curvature radius of 0.025 mm was observed to be about 7 times for a case when the curvature radius was 10 mm. In additional, the power equation was found to model well the relationship between the maximum electric field intensity and curvature radius of the geometry presented in this paper

Next-generation fall detection: harnessing human pose estimation and transformer technology

ABSTRACT Elderly falls are occurring at an alarming rate, with significant health risks for seniors. Current fall detection systems often lack accuracy, efficacy, and privacy considerations. This study examines three leading human pose estimation frameworks combined with transformer deep learning models to develop a lightweight, privacy-preserving fall detection system. Key features include: 1) It runs on low-power devices like Raspberry Pis; 2) It monitors seniors passively, without requiring active participation; 3) It can be deployed in any residential or senior care setting; 4) It does not rely on wearables; and 5) All processing occurs locally, ensuring privacy with only fall alerts transmitted to caregivers. In real-world tests, the model achieved 95.24% sensitivity, 89.80% specificity, 98.00% accuracy, a 90.91% F1 score, and 95.24% precision, highlighting its effectiveness in detecting falls among the elderly while maintaining privacy and security.

Strategies to Reduce Fall Severity after a Perturbation during Ladder Climbing

OCCUPATIONAL APPLICATIONS Falls from ladders remain a significant cause of injuries in workplaces as well as residential settings. While recent research reveals factors related to fall severity from a ladder, strategies that workers can adopt to minimize fall severity are not well understood. Results from our current study indicated that increased upper limb strength, achieving a higher hand hold, and controlled reestablishment of the foot on the rung have summative benefits to reduce fall severity and increase recovery from a misstep perturbation. Ensuring adequate upper limb strength among workers, and training workers to climb ladders leading with hand placement during ascent and foot placement during descent, can facilitate these beneficial strategies to arrest a ladder fall.

Residential care settings for children in the Philippines: Examining their transnational and neocolonial characteristics and the implications for children’s social welfare

Residential care settings for children in the Philippines: Examining their transnational and neocolonial characteristics and the implications for children’s social welfare

Interventions addressing care staff views of older LGBTQ+ people in residential and homecare settings: a scoping review protocol

IntroductionPrevious research has identified that lesbian, gay, bisexual, trans and queer (LGBTQ+) social care service users have concerns and/or negative experiences of their care due to staff views and attitudes...

Positive behaviour support in Irish residential services: Perspectives of frontline staff, management and clinicians on implementation challenges

ABSTRACT Background The current study explored the perspectives of staff working with adults with intellectual disabilities and behaviours that challenge. We sought insight into their understanding of procedural fidelity and challenges faced when implementing behaviour support. Method We interviewed 15 staff members supporting adults with intellectual disabilities in residential settings. Participants included five front-line staff, five residential managers, and five clinicians. Interviews were transcribed and thematic analysis conducted. Results Issues identified by the participants related to four main themes: (1) Organisational and environmental constraints; (2) Understanding and monitoring of procedural fidelity; (3) Theory versus practice; (4) There's nothing positive about behaviour support. Conclusion Across staff groups, lack of understanding of fidelity emerged, as well as minimal accountability regarding behaviour support. Front-line staff felt isolated and under pressure. Greater emphasis on partnership, practice leadership, and positive feedback may give front-line staff the support needed to use behavioural interventions with high fidelity.

A novel portable in situ analyzer for highly sensitive monitoring of organophosphorus and carbamate pesticides in food and environment

The presence of excessive residues of organophosphorus (OPs) and carbamate (CPs) pesticides in food and the environment poses a significant threat to human health and ecological sustainability. Herein, we reported a dual-readout, portable, and highly sensitive photoelectric analyzer (DPHP-analyzer) to achieve rapid and accurate monitoring of OPs and CPs. The dual signal strategy is mainly achieved by controlling the activity of acetylcholinesterase (AChE) in the presence of OPs to catalyze acetylthiocholine (ATCh) and generate thiocholine (TCh), which specifically induced the conversion of colorless Ellman's reagent (DTNB) into yellow 5-thio-2-nitrobenzoic acid (TNB). Simultaneously, the utilization of positively charged TNB as an absorber can induce a dynamic fluorescence quenching effect based on energy transfer mechanism. Fully cooperating with the above mechanism, a CD like, disposable array-based chip manufactured by 3D printing (CD-AN-chip) was designed and integrated to deliver reagents. By use of this dual-output strategy, the analyzer and chip can provide good sensitivity and selectivity for the monitoring of diazinon and carbendazim (case analysis) with a LOD 0.38 ng/mL for carbendazim. And the reproducibility, stability and practicability analysis of real sample have been thoroughly validated simultaneously. Importantly, with the features of fluorescence fingerprint map, the detector could be employed for the distinction of various analytes and further be used for monitoring the nutritional environment within residential and public settings.

Validity, test-retest reliability, and responsiveness of the Indonesian version of FACIT-COST measure for subjective financial toxicity.

Financial toxicity describes the impairment of financial wellbeing in patients due to the burden of cancer diagnosis and care. The COST: A Functional Assessment of Chronic Illness Therapy Measure of Financial Toxicity (FACIT-COST) is the most widely used cancer-specific measure of subjective financial toxicity, having been validated in multiple languages, but not in Indonesian. This study aimed to validate the Indonesian version of FACIT-COST in a breast cancer sample. A single-center prospective cohort study was performed in Indonesia. Female breast cancer patients aged ≥ 18 undergoing treatment at baseline were invited to participate and followed for up to six months. The survey included the official Indonesian version of FACIT-COST (v2) which was administered to the patients by interviewers. Clinical information (e.g., metastasis status, disease duration) was provided based on medical records. The following measurement properties of FACIT-COST were tested: distributional characteristics, structural validity (principal component [PCA] and confirmatory factor analyses [CFA]), internal consistency reliability (Cronbach's alpha and McDonald's omega), known-groups validity (Mann-Whitney U or Kruskal-Wallis H test), test-retest reliability, and responsiveness to change. Overall, 300 female patients participated at baseline. No patients reported the best or worst possible FACIT-COST total scores. The PCA proposed a two-factor model structure for the instrument, which was confirmed by the CFA (RMSEA = 0.042, SRMR = 0.049, CFI = 0.99, TLI = 0.99). The internal consistency reliability of the two factors was considered adequate (Cronbach's alpha = 0.774-0.882, McDonald's omega = 0.786-0.888). The FACIT-COST total score significantly discriminated across the following known-groups: age, education, residential setting, income, employment, metastasis status, number of symptoms, and financial coping strategies. The FACIT-COST demonstrated excellent test-retest reliability (intraclass correlation coefficient = 0.96) and satisfactory responsiveness to change (standardized response mean and effect size ranges=|0.39| to |0.92|). This is the first study to validate the FACIT-COST in patients with breast cancer and to present the measurement properties of the Indonesian version of FACIT-COST. The Indonesian FACIT-COST demonstrates acceptable psychometric performance and shows potential as a valid measure of subjective financial toxicity. The instrument may serve as a valuable tool for informing health policies that focus on providing resource support to improve cancer care in Indonesia.

Residential Care Facilities for Users with Alzheimer’s Disease: Characterisation of Their Architectural Typology

The design and construction of residences for persons with Alzheimer’s disease (AD) have been based on the recommendations of design guides, the results of empirical tests with samples of the population, and the experience of architects and planners. The reiteration of certain patterns, criteria, and guidelines has given rise to a new type of building that has not yet been explicitly described. The aim of this paper is to determine the main characteristics of this typology. This research is based on a critical review methodology, analysing 30 care homes built over the last four decades across various global contexts. Detailed surveys of plans, projects, and buildings were carried out, allowing a comparative analysis of the architectural attributes to determine the most influential parameters for these buildings. The results indicate that environments designed with safety, accessibility, and opportunities for social interaction in mind—and, above all, those that are personalised to the needs of this collective—significantly enhance the behaviour, emotional state, and cognitive state of their residents. The main theoretical contributions include identifying and stating the key features of this type, such as small scale, basic cell housing, comprehensible organisation, and sensory stimulation of spaces, among others. The breakthrough of this study that differentiates it from other works in this field is that it provides concrete guidelines to approach the planning, design, and construction of these kinds of residences. The significance of this research lies in the definition of this unique typology, which is not characterised by its morphology, shape, or formal composition but rather focused on promoting an adequate cognitive and physiological reception of the space by the users. This building concept has important management implications, as its construction must provide for and integrate specific care services in a residential setting for people with AD.

A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

The widespread adoption of nonlinear power electronic devices in residential settings has significantly increased the stochasticity and uncertainty of power systems. The original load power data, characterized by numerous irregular, random, and probabilistic components, adversely impacts the predictive performance of deep learning techniques, particularly neural networks. To address this challenge, this paper proposes a time-series probabilistic load power prediction technique based on the mature neural network point prediction technique, i.e., decomposing the load power data into deterministic and stochastic components. The deterministic component is predicted using deep learning neural network technology, the stochastic component is fitted with Gaussian mixture distribution model and the parameters are fitted using great expectation algorithm, after which the stochastic component prediction data is obtained using the stochastic component generation method. Using a mature neural network point prediction technique, the study evaluates six different deep learning methods to forecast residential load power. By comparing the prediction errors of these methods, the optimal model is identified, leading to a substantial improvement in prediction accuracy.

Assessment of Student Quality of Life in Relation to University Campus

Background: There exists a scarcity of comprehensive studies on educational campuses, which integrate the effects of built environment satisfaction, university life experiences, and personal characteristics on QoL. The study’s main research problem is to investigate the extent, direction, and sequence of the influence of university life satisfaction (encompassing academic, social, and administrative perception)—as well as the university’s built environment of university (including both indoor and outdoor attributes of educational, social, recreational, and residential settings), in conjunction with student characteristics—on students’ QoL and the interactions among these factors. Aim: The main objective is to comprehensively analyze the impact and dominance of the built environment and various dimensions of university life, in addition to personal variables on student QoL, and explore the interaction between them. The sub-aims are to determine the dimensions that have the greatest effect on QoL and to make comparisons between them. Methodology: In line with the aim, a specific index for measuring student QoL on a university campus was developed, and a survey was conducted using a questionnaire developed based on the index. The case study is made in Bursa Uludag University, one of the oldest universities in Bursa, Turkey, which is known for being included in the UNESCO World Heritage List. Data were recorded and analyzed by utilizing statistical analyses via SPSS (statistical package for social sciences) for Windows 22 and IBM AMOS 24.0 programs. Results: The data collected from the evaluation of questionnaires administered to 685 participants reveal that the sub-dimensions with the most-to-least impact on students’ QoL are satisfaction with campus life, education spaces, academic development, socio-physical amenities, social perception, administrative management, accessibility, transportation, and accommodation. Conclusions: QoL is a multidimensional judgment through which university students’ QOL perceptions are affected through the interaction between the university’s built environment, university life, individual characteristics, as well as administrative management.

Mathematical Model for Optimal Location of Cellular Transmission Towers

This paper applies a mathematical model for the optimal location of cellular signal transmission towers in a scenario different from the original scenario for which the model was developed. The proposed optimization aims to maximize the number of users served while maintaining a minimum signal quality standard. To validate the model, measurement campaigns were carried out at 44 points in a residential setting in the municipality of Castanhal-PA, at frequencies of 1800 MHz and 2600 MHz. The model outputs provide the received power, the average loss and the optimal location of the new tower to be installed.

Wave Propagation Models for Optimization in Wireless Communication

To understand and build radio transmission systems, you need to know how waves travel. These models show how electromagnetic waves move through different settings, considering things like distance, obstacles, and the material the waves move through. A lot of what makes radio transmission work is being able to correctly guess how waves will spread in different situations. Wave propagation models come in many forms, such as open space, ground reflection (two-ray), and more complicated models such as the Hata, Okumura, and Rayleigh models. Each model is used for a different thing. For example, free space models are good at showing simple line-of-sight (LOS) situations, while empirical models like Hata are better at showing more complicated urban and residential settings. For example, the free space model believes that there are no hurdles between the sender and listener. This makes it perfect for situations like open fields or satellite communications. The Hata and Okumura models, on the other hand, are made for cities and suburbs, taking into account how buildings and geography affect signal power. Rayleigh and Rician models are scientific and are often used to describe situations where multipath transmission happens, like in crowded cities where signals bounce off many objects. These models help us understand things like fading, where the signal strength changes because of interference from different routes. Wave propagation models are important for making sure that wireless communication systems work well, whether they are simple field sets or complicated networks in cities. They help experts guess how signals will behave, find the best places to put antennas, and make the whole network work better. These models make sure that communication systems can stay connected and provide high-quality service in a wide range of settings by considering different transmission scenarios.

Psychometric properties of Japanese version15D and cultural characteristics of quality of life undergoing patients with hip and knee arthroplasty

BackgroundHealth-related quality of life (HRQoL) following total hip and knee arthroplasty (THA/TKA) may decline more in Asian countries due to lifestyle and housing factors compared with patients in Western countries. AimsTo evaluate the psychometric properties of the Japanese version of 15D and clarify the characteristics of HRQoL in Japanese patients who underwent THA/TKA compared with Finnish patients. MethodsThis longitudinal study included 182 patients between 2019 and 2021. Patients' HRQoL was measured using the 15D preoperatively and 3 months postoperatively. Student's t-tests were used to compare lifestyles between Japan and Finland. ResultsThe Japanese version of the 15D showed good internal consistency, reliability, construct validity, and responsiveness. Patients with many steps inside their house had worse HRQoL in the dimensions of mobility, distress, and vitality in Japan. There were significant differences in mobility, distress, vitality, and sexual activity dimensions between Japan and Finland 3 months postoperatively. ConclusionsThe lower HRQoL in Japan in the dimensions of mobility, distress, and vitality is likely due to Japan's traditional housing structure with many steps. Identifying differences in cultural and psychological characteristics, as well as by residential setting, will enable health care providers to help patients improve their HRQoL.

Dysphagia Screening in Residential Long-Term Care Settings in the Republic of Ireland: A Cross-Sectional Survey.

Dysphagia affects up to 70% of older adults living in residential long-term care settings (RLTCS) and may lead to serious complications if not identified and adequately managed. However, there is a dearth of clinical guidelines tailored to older adults at risk of dysphagia in RLTCS. An online survey consisting of 40 questions was conducted to identify dysphagia screening practices, referral patterns and interventions implemented by nurses in cases of suspected dysphagia, to quantify the number of residents with dysphagia, episodes of aspiration pneumonia in the previous year, and use of modified texture diets and fluids and explore differences between groups of RLTCS. The survey was developed using Qualtrics XM Platform and circulated via email, with one response per RLTCS sought. Data were analysed using RStudio. Of the 429 RLTCS contacted, 45 completed and returned the survey, a 10.5% response rate. Dysphagia screening practices, referral patterns, and dysphagia management interventions varied across participating RLTCS. All participants reported that they observe for signs and symptoms of dysphagia at mealtimes to identify residents at-risk of dysphagia. Ninety six percent of RLTCS reported referring residents with suspected dysphagia to speech and language therapy dysphagia services. A diagnosis of dysphagia was reported in 35.3% of residents. All participating RLTCS reported providing modified texture diets and fluids if residents had suspected dysphagia. The implementation of standardised and validated dysphagia screening protocols in RLTCS in the Republic of Ireland may be useful in supporting the identification of at-risk residents.