Increased training load promotes sleep propensity and slow-wave sleep in endurance runners: Can a high-heat-capacity mattress topper modulate this effect?

The present study aimed to: (1) investigate sleep architecture in response to an overload training and taper periods among endurance runners; and (2) assess the sleep benefits of a high-heat-capacity mattress topper. Twenty-one trained male endurance runners performed a 2-week usual training regimen (baseline) followed by 2-week overload and taper periods. From overload to the end of the taper period, they were assigned into two groups based on the mattress topper used: high-heat-capacity mattress topper (n = 11) or low-heat-capacity mattress topper (n = 10). Training load was assessed daily using the session rating of perceived exertion. Following each period, sleep was monitored by polysomnography, and nocturnal core body temperature was recorded throughout the night. Irrespective of the group, awakening episodes > 5 min decreased following overload compared with baseline (-0.48, p = 0.05). Independently of mattress topper, each 100 A.U. increase in 7-day training load prior to polysomnographic recording was associated with higher slow-wave sleep proportion (ß = +0.13%; p = 0.05), lower sleep-onset latency (ß = -0.49 min; p = 0.05), and a reduction in the probability of transition from N1 sleep stage to wakefulness (ß = -0.12%; p = 0.05). Sleeping on a high-heat-capacity mattress topper did not affect any sleep variable compared with a low-heat-capacity mattress topper. Increased training loads promote slow-wave sleep and sleep propensity, highlighting the adaptative nature of sleep to diurnal activity and the role of sleep in physiological recovery. Further studies are required on the potential benefits of high-heat-capacity mattress toppers on sleep architecture among athletes.

A novel in-bed body posture monitoring for decubitus ulcer prevention using body pressure distribution mapping.

BACKGROUND: Decubitus ulcers are prevalent among the aging population due to a gradual decline in their overall health, such as nutrition, mental health, and mobility, resulting in injury to the skin and tissue. The most common technique to prevent these ulcers is through frequent repositioning to redistribute body pressures. Therefore, the main goal of this study is to facilitate the timely repositioning of patients through the use of a pressure mat to identify in-bed postures in various sleep environments. Pressure data were collected from 10 healthy participants lying down on a pressure mat in 19 various in-bed postures, correlating to the supine, prone, right-side, and left-side classes. In addition, pressure data were collected from participants sitting at the edge of the bed as well as an empty bed. Each participant was asked to lie in these 19 postures in three distinct testing environments: a hospital bed, a home bed, and a home bed with a foam mattress topper. To categorize each posture into its respective class, the pre-trained 2D ResNet-18 CNN and the pre-trained Inflated 3D CNN algorithms were trained and validated using image and video pressure mapped data, respectively. RESULTS: The ResNet-18 and Inflated 3D CNN algorithms were validated using leave-one-subject-out (LOSO) and leave-one-environment-out (LOEO) cross-validation techniques. LOSO provided an average accuracy of 92.07% ± 5.72% and 82.22% ± 8.50%, for the ResNet-18 and Inflated 3D CNN algorithms, respectively. Contrastingly, LOEO provided a reduced average accuracy of 85.37% ± 14.38% and 77.79% ± 9.76%, for the ResNet-18 and Inflated 3D CNN algorithms, respectively. CONCLUSION: These pilot results indicate that the proposed algorithms can accurately distinguish between in-bed postures, on unseen participant data as well as unseen mattress environment data. The proposed algorithms can establish the basis of a decubitus ulcer prevention platform that can be applied to various sleeping environments. To the best of our knowledge, the impact of mattress stiffness has not been considered in previous studies regarding in-bed posture monitoring.

Can a prolonged healing pressure injury be benefited by using an AI mattress? A case study.

BACKGROUND: Pressure injuries are a common and serious issue for bedridden residents in long-term-care facilities. Areas of bony prominences, such as the scapula, sacrum, and heels, are more likely to develop pressure injuries. The management of pressure injury wounds include dressing changes, repositioning, away from moisture, decreasing the occurrence of friction and shear, and more. Some supportive surfaces are also used for pressure injury cases such as gel pads, alternating pressure air mattresses, and air-fluidized beds. The aim of this case study was to determine whether the use of an artificial intelligent mattress can improve a nursing home resident with prolonged pressure injury. CASE PRESENTATION: A retrospective study design was conducted for this case study. A 79-year-old male developed a pressure injury in the sacrum. His pressure injury was initially at stage 4, with a score of 12 by the Braden scale. The PUSH score was 16. During 5.5 months of routine care plus the use of the traditional alternative air mattress, in the nursing home, the wound stayed in stage 3 but the PUSH score increased up to 11. An artificial intelligence mattress utilizing 3D InterSoft was used to detect the bony prominences and redistribute the external pressure of the skin. It implements a color guided schematic of 26 colors to indicate the amount of pressure of the skin. RESULTS: The wound size was decreased and all eczema on the resident's back diminished. The PUSH score was down to 6, as the artificial intelligent mattress was added into the routine care. The staff also reported that the resident's quality of sleep improved and moaning decreased. The hemiplegic side is at greater risk of developing pressure injury. CONCLUSIONS: This novice device appeared to accelerate wound healing in this case. In the future, more cases should be tested, and different care models or mattress can be explored.

Comparing the effectiveness of active and reactive mattresses in pressure injury healing: a pilot study.

OBJECTIVE: A feasibility study to test the proposed methodology for a larger randomised control trial was conducted, investigating the comparative effectiveness of the two types of pressure management support surfaces with regards to healing pressure injuries (PI). A secondary objective was to provide insights into the user acceptability of the two types of pressure management support surfaces. METHOD: A randomised control feasibility study was conducted in a community health setting in Canberra, Australia. Patients aged ≥65 years with an existing Stage 2 PI who slept in a bed were eligible. Participants were randomised to either the active mattress group or the reactive mattress group for use on their bed. All participants received standard wound care by community nursing staff and were provided an air-flotation cushion for use when not in bed. Photographs were taken and used for blind assessment of wound healing. Secondary information was gathered through a survey regarding user acceptability of the support surfaces and changes in habits regarding PI prevention strategies. RESULTS: In total, five patients were recruited, with one passing away prior to mattress allocation. Results were inconclusive with regards to comparative effectiveness and user acceptability due to the small sample size; however, secondary data indicated an increasing implementation of PI prevention strategies. CONCLUSION: This study confirmed the need for further high quality research comparing reactive and active pressure mattresses. Trends indicate the importance of including education on PI prevention strategies to promote changes in behaviour. Changes to the proposed methodology will be made to increase recruitment in the primary study.

Determinants of Perceived Comfort: Multi-Dimensional Thinking in Smart Bedding Design.

Sleep quality is an important issue of public concern. This study, combined with sensor application, aims to explore the determinants of perceived comfort when using smart bedding to provide empirical evidence for improving sleep quality. This study was conducted in a standard sleep laboratory in Quanzhou, China, from March to April of 2023. Perceived comfort was evaluated using the Subjective Lying Comfort Evaluation on a seven-point rating scale, and body pressure distribution was measured using a pressure sensor. Correlation analysis was employed to analyze the relationship between perceived comfort and body pressure, and multiple linear regression was used to identify the factors of perceived comfort. The results showed that body pressure was partially correlated with perceived comfort, and sleep posture significantly influenced perceived comfort. In addition, height, weight, and body mass index are common factors that influence comfort. The findings highlight the importance of optimizing the angular range of boards based on their comfort performance to adjust sleeping posture and equalize pressure distribution. Future research should consider aspects related to the special needs of different populations (such as height and weight), as well as whether users are elderly and whether they have particular diseases. The design optimization of the bed board division and mattress softness, based on traditional smart bedding, can improve comfort and its effectiveness in reducing health risks and enhancing health status.

Use of a Shear Reduction Surface for Prehospital Transport: A Randomized Crossover Study.

OBJECTIVE: To compare the effectiveness of an antishear mattress overlay (ASMO) with a standard ambulance stretcher surface in reducing pressure and shear and increasing patient comfort. METHODS: In this randomized, crossover design, adults in three body mass index categories served as their own controls. Pressure/shear sensors were applied to the sacrum, ischial tuberosity, and heel. The stretcher was placed in sequential 0°, 15°, and 30° head-of-bed elevations with and without an ASMO. The ambulance traveled a closed course, achieving 30 mph, with five stops at each head-of-bed elevation. Participants rated discomfort after each series of five runs. RESULTS: Thirty individuals participated. Each participant had 30 runs (15 with an ASMO, 15 without), for a total of 900 trial runs. The peak-to-peak shear difference between support surfaces was -0.03 N, indicating that after adjustment for elevation, sensor location, and body mass index, peak shear levels at baseline (starting pause) were 0.03 N lower for the ASMO than for the standard surface ( P = .02). The peak-to-peak pressure difference between surfaces was -0.16 mm Hg, indicating that prerun peak-to-peak pressure was 0.16 mm Hg lower with the ASMO versus standard surface ( P = .002). The heel received the most pressure and shear. Discomfort score distributions differed between surfaces at 0° ( P = .004) and 30° ( P = .01); the overall score across all elevations was significantly higher with the standard surface than with the ASMO ( P = .046). CONCLUSIONS: The ASMO reduced shear, pressure, and discomfort. During transport, the ambulance team should provide additional heel offloading.

Organizational development and management factors involved in the prevention and effective therapy of pressure ulcers: The results of the national survey conducted among Hungarian public hospitals.

The prevention of pressure ulcer (PU) or pressure injury (PI) wounds is of public health importance in developed countries, including Hungary. The study aimed to assess the PU/PI prevention and care practices of Hungarian public hospitals and identify organizational and management factors. In 2022, a national, questionnaire-based survey of inpatient institutions relevant to PU/PI care was conducted, providing a picture of the practices of 86 hospitals for the year 2019. The questionnaire was processed using descriptive statistics and regression analysis. The survey results show that good practices in Hungary are isolated, the reporting system is inhomogeneous, and documentation is not uniform across our institutional system. Of the 86 institutions, 71.0% operate a PU prevention team, 64.0% use prophylactic dressings, and 88.3% use an anti-decubitus mattress, with an average ratio of 26.1% to the number of beds. Less than half of the institutions reported the incidence of hospital acquired pressure injuries (HAPIs). In this sample, we found no significant association between hospital type and hospital size with the incidence of full-thickness HAPIs (stage III and IV wounds). Developing a comprehensive PU/PI reporting system and updating the national PU/PI prevention and care guidelines are essential in Hungary.

Effects of a mattress cover with special airflow technology on the structure and function of the sacral and heel skin during loading: A two-arm exploratory crossover trial.

Prolonged mechanical loading of the skin and underlying soft tissue cause pressure ulceration. The use of special support surfaces are key interventions in pressure ulcer prevention. They modify the degree and duration of soft tissue deformation and have an impact on the skin microclimate. The objective of this randomized cross-over trial was to compare skin responses and comfort after lying for 2.5 h supine on a support surface with and without a coverlet that was intended to assist with heat and moisture removal at the patient/surface interface. In addition, physiological saline solution was administered to simulate an incontinence episode on the mattress next to the participants' skin surface. In total, 12 volunteers (mean age 69 years) with diabetes mellitus participated. After loading, skin surface temperature, stratum corneum hydration and skin surface pH increased, whereas erythema and structural stiffness decreased at the sacral area. At the heel skin area, temperature, erythema, and stratum corneum hydration increased. These results indicate occlusion and soft tissue deformation which was aggravated by the saline solution. The differences in skin response showed only minor differences between the support surface with or without the coverlet.

[Modeling and comfort analysis of arrayed air cushion mattress for pressure ulcer prevention and assisted repositioning].

Assisting immobile individuals with regular repositioning to adjust pressure distribution on key prominences such as the back and buttocks is the most effective measure for preventing pressure ulcers. However, compared to active self-repositioning, passive assisted repositioning results in distinct variations in force distribution on different body parts. This incongruity can affect the comfort of repositioning and potentially lead to a risk of secondary injury, for certain trauma or critically ill patients. Therefore, it is of considerable practical importance to study the passive turning comfort and the optimal turning strategy. Initially, in this study, the load-bearing characteristics of various joints during passive repositioning were examined, and a wedge-shaped airbag configuration was proposed. The airbags coupled layout on the mattress was equivalently represented as a spring-damping system, with essential model parameters determined using experimental techniques. Subsequently, different assisted repositioning strategies were devised by adjusting force application positions and sequences. A human-mattress force-coupled simulation model was developed based on rigid human body structure and equivalent flexible springs. This model provided the force distribution across the primary pressure points on the human body. Finally, assisted repositioning experiments were conducted with 15 participants. The passive repositioning effectiveness and pressure redistribution was validated based on the simulation results, experimental data, and questionnaire responses. Furthermore, the mechanical factors influencing comfort during passive assisted repositioning were elucidated, providing a theoretical foundation for subsequent mattress design and optimization of repositioning strategies.

Use of a novel pressure distribution system for severely ill neonates: a clinical pilot study carried out by the PREPICare consortium.

BACKGROUND: Pressure Injuries are not exclusively an adult phenomenon; various risk factors contribute to a high prevalence rate of 43% in the neonatal and pediatric intensive care population. Effective preventive measures in this population are limited. METHODS: We performed a pilot study to analyze the distribution and localization of support surface interface pressures in neonates in a pediatric intensive care unit (PICU). The hypothesis was that pressure redistribution by a novel air mattress would reduce pressure peaks in critical neonates. The measurements were conducted in a 27-bed level III PICU between November and December 2020. This included measuring pressure distribution and pressure peaks for five neonates positioned on either a state-of-the-art foam mattress or a new prototype air mattress. RESULTS: We confirmed that the pressure peaks were significantly reduced using the prototype air mattress, compared with the state-of-the-art foam mattress. The reduction of mean pressure values was 9-29%, while the reduction of the highest 10% of pressure values was 23-41%. CONCLUSIONS: The journey to an effective, optimal, and approved product for severely ill neonates to reduce Pressure Injuries is challenging. However, a crucial step was completed by this pilot study with the first pressure measurements in a real-world setting and the successful realization of a decrease in pressure peaks obtained using a prototype air mattress.

Bedtime negotiations: Unravelling normative complexity in hospital-based prevention.

This study explores how actors deal with normative complexity in the design and implementation of practices of preventative care. Previous studies have identified conflicting (e)valuations of prevention within health care at large, but little empirical research describes how these conflicts are resolved in day-to-day interactions. Zooming in on the work of a single actor, our ethnographic study describes a Dutch psychiatrist developing a novel type of hospital bed that provides preventative psychiatric care for women in the post-partum period. Drawing on pragmatic sociology of justification, we construe 'beds'-and the time, people and resources they represent-as points of convergence between conflicting valuations of care. The results show that embedded modes of valuation in a curative hospital setting generate significant normative complexity during implementation. We identify three main strategies through which normative complexity is managed: (a) translating between different modes of valuing prevention, (b) compromising in (material) design of care beds and (c) transcending embedded valuations through moral appeals. By showing the normative complexity of prevention in practice, our study highlights the need for a diverse and situated accounting for preventative care.

Prevention of pressure injuries using a non-motorised decompression air mattress: a non-interventional study.

OBJECTIVE: Prevention of pressure injuries (PI) is a public health issue. Among the preventive measures, the use of support surfaces adapted to the risk of PI occurrence is recommended. This study aimed to report the incidence of PIs in patients at medium-to-high risk of occurrence of PIs and using a new non-motorised automated decompression air mattress combined with other recommended PI prevention measures. METHOD: An observational, national, multicentre, prospective, non-comparative study, with a follow-up period of 35 days was conducted. Patients at medium-to-high risk of PIs and without PIs at baseline were included if they were lying on a specific non-powered automated decompression air mattress. The primary outcome was the percentage of patients who developed at least one category 2 or more severe PI of the sacrum, backbone or heel between day 0 and day 35. RESULTS: In total, 81 patients were included from four participating centres. There was one report of a patient with a PI that fitted within the definition of the primary outcome, meaning an incidence of 1.2% (95% confidence interval (CI) 0-6.7%). More than 80% of patients rated the overall comfort and the stability of the non-motorised automated decompression air mattress as satisfactory or very satisfactory. In more than 80% of cases, the healthcare teams found the use of the mattress to be easy or very easy. CONCLUSION: This study has shown that in combination with other preventive measures, the use of a specific non-motorised air mattress with automated decompression is associated with a low incidence of PIs in patients with medium-to-high risk of occurrence of PIs.

Impact of a new clinical mattress solution on interface pressure and comfort during supine lying.

OBJECTIVE: Effective pressure management for individuals is critical for hospital and community-based care, to prevent the occurrence of pressure ulcers. This study explores the impact of a new mattress and topper solution on interface pressure and comfort during supine lying. METHOD: In this quantitative, healthy cohort study, patient-surface interface pressures were calculated for three mattresses (a standard hospital mattress, a new mattress solution (Levitex Foams Ltd., UK) and a dynamic air flow mattress) with and without an innovative topper solution (Levitex Foams Ltd., UK). Subjective comfort, contact surface area, peak and mean pressure and peak pressure index (head, sacrum, heels) were calculated for all mattress conditions for a 21-minute period. RESULTS: A total of 27 healthy volunteers took part in this study. The new mattress solution decreased peak pressure significantly compared with the hospital and air mattresses (p<0.04). Lower peak pressures were observed for the hospital mattress compared with the dynamic air flow mattress. The new mattress solution improved comfort and significantly lowered (>30%; p≤0.005) heel and head pressure compared with the other surfaces. Both hospital and air mattresses significantly reduced pressure and improved comfort with the addition of the new topper solution (p<0.05). CONCLUSION: The new mattress solution used in this study offers a potentially improved pressure management solution for individuals. Implementation of the topper may also help to improve pressure management when used with existing standard or dynamic air flow mattresses.

Spatio-Temporal Cluster Mapping System in Smart Beds for Patient Monitoring.

Innovative technological solutions are required to improve patients' quality of life and deliver suitable treatment. Healthcare workers may be able to watch patients from a distance using the Internet of Things (IoT) by using big data algorithms to analyze instrument outputs. Therefore, it is essential to gather information on use and health problems in order to improve the remedies. To ensure seamless incorporation for use in healthcare institutions, senior communities, or private homes, these technological tools must first and foremost be easy to use and implement. We provide a network cluster-based system known as smart patient room usage in order to achieve this. As a result, nursing staff or caretakers can use it efficiently and swiftly. This work focuses on the exterior unit that makes up a network cluster, a cloud storage mechanism for data processing and storage, as well as a wireless or unique radio frequency send module for data transfer. In this article, a spatio-temporal cluster mapping system is presented and described. This system creates time series data using sense data collected from various clusters. The suggested method is the ideal tool to use in a variety of circumstances to improve medical and healthcare services. The suggested model's ability to anticipate moving behavior with high precision is its most important feature. The time series graphic displays a regular light movement that continued almost the entire night. The last 12 h' lowest and highest moving duration numbers were roughly 40% and 50%, respectively. When there is little movement, the model assumes a normal posture. Particularly, the moving duration ranges from 7% to 14%, with an average of 7.0%.

Evaluation of the Accuracy of Contactless Consumer Sleep-Tracking Devices Application in Human Experiment: A Systematic Review and Meta-Analysis.

Compared with the gold standard, polysomnography (PSG), and silver standard, actigraphy, contactless consumer sleep-tracking devices (CCSTDs) are more advantageous for implementing large-sample and long-period experiments in the field and out of the laboratory due to their low price, convenience, and unobtrusiveness. This review aimed to examine the effectiveness of CCSTDs application in human experiments. A systematic review and meta-analysis (PRISMA) of their performance in monitoring sleep parameters were conducted (PROSPERO: CRD42022342378). PubMed, EMBASE, Cochrane CENTRALE, and Web of Science were searched, and 26 articles were qualified for systematic review, of which 22 provided quantitative data for meta-analysis. The findings show that CCSTDs had a better accuracy in the experimental group of healthy participants who wore mattress-based devices with piezoelectric sensors. CCSTDs' performance in distinguishing waking from sleeping epochs is as good as that of actigraphy. Moreover, CCSTDs provide data on sleep stages that are not available when actigraphy is used. Therefore, CCSTDs could be an effective alternative tool to PSG and actigraphy in human experiments.

Deriving Multiple-Layer Information from a Motion-Sensing Mattress for Precision Care.

Bed is often the personal care unit in hospitals, nursing homes, and individuals' homes. Rich care-related information can be derived from the sensing data from bed. Patient fall is a significant issue in hospitals, many of which are related to getting in and/or out of bed. To prevent bed falls, a motion-sensing mattress was developed for bed-exit detection. A machine learning algorithm deployed on the chip in the control box of the mattress identified the in-bed postures based on the on/off pressure pattern of 30 sensing areas to capture the users' bed-exit intention. This study aimed to explore how sleep-related data derived from the on/off status of 30 sensing areas of this motion-sensing mattress can be used for multiple layers of precision care information, including wellbeing status on the dashboard and big data analysis for living pattern clustering. This study describes how multiple layers of personalized care-related information are further derived from the motion-sensing mattress, including real-time in-bed/off-bed status, daily records, sleep quality, prolonged pressure areas, and long-term living patterns. Twenty-four mattresses and the smart mattress care system (SMCS) were installed in a dementia nursing home in Taiwan for a field trial. Residents' on-bed/off-bed data were collected for 12 weeks from August to October 2021. The SMCS was developed to display care-related information via an integrated dashboard as well as sending reminders to caregivers when detecting events such as bed exits and changes in patients' sleep and living patterns. The ultimate goal is to support caregivers with precision care, reduce their care burden, and increase the quality of care. At the end of the field trial, we interviewed four caregivers for their subjective opinions about whether and how the SMCS helped their work. The caregivers' main responses included that the SMCS helped caregivers notice the abnormal situation for people with dementia, communicate with family members of the residents, confirm medication adjustments, and whether the standard care procedure was appropriately conducted. Future studies are suggested to focus on integrated care strategy recommendations based on users' personalized sleep-related data.

Optimization of Spatial and Temporal Configuration of a Pressure Sensing Array to Predict Posture and Mobility in Lying.

Commercial pressure monitoring systems have been developed to assess conditions at the interface between mattress/cushions of individuals at risk of developing pressure ulcers. Recently, they have been used as a surrogate for prolonged posture and mobility monitoring. However, these systems typically consist of high-resolution sensing arrays, sampling data at more than 1 Hz. This inevitably results in large volumes of data, much of which may be redundant. Our study aimed at evaluating the optimal number of sensors and acquisition frequency that accurately predict posture and mobility during lying. A continuous pressure monitor (ForeSitePT, Xsensor, Calgary, Canada), with 5664 sensors sampling at 1 Hz, was used to assess the interface pressures of healthy volunteers who performed lying postures on two different mattresses (foam and air designs). These data were down sampled in the spatial and temporal domains. For each configuration, pressure parameters were estimated and the area under the Receiver Operating Characteristic curve (AUC) was used to determine their ability in discriminating postural change events. Convolutional Neural Network (CNN) was employed to predict static postures. There was a non-linear decline in AUC values for both spatial and temporal down sampling. Results showed a reduction of the AUC for acquisition frequencies lower than 0.3 Hz. For some parameters, e.g., pressure gradient, the lower the sensors number the higher the AUC. Posture prediction showed a similar accuracy of 63-71% and 84-87% when compared to the commercial configuration, on the foam and air mattress, respectively. This study revealed that accurate detection of posture and mobility events can be achieved with a relatively low number of sensors and sampling frequency.

Nurses' Perceptions About Smart Beds in Hospitals.

The purpose of this study was to examine nurses' perceptions of the smart mattress equipped with Internet of things, which are incorporated into patients' beds. In addition, their concerns and suggestions about smart mattress were explored. A total of 349 nurses in a tertiary hospital participated in a cross-sectional survey. Data were collected using questionnaires. Descriptive statistical analysis was used for survey data, whereas content analysis was used for qualitative data from open-ended questions. The participants' intention to accept the smart mattresses was 12.5 (SD, 1.73) on average, indicating a high level of acceptance. The participants expected the smart mattresses to decrease their physical work burden, improve work efficiency, and prevent pressure ulcers. However, they were concerned about an increase in other aspects of their workload and in patient safety problems due to false alarms, inaccuracies, and malfunctions of the device. Nurses suggested various features that can be integrated into smart mattress. It is critical to address nurses' perceptions, expectations, and concerns during the conceptual and developmental stage of new technology in order to improve the usability, acceptance, and adoption of smart mattresses and other new innovations in hospital settings.

Healthcare-Associated Infections and the Hospital Bed.

OBJECTIVE: Bedframes are a potential source of bacterial contamination, fomites, and healthcare-associated infections for patients with active skin wounds and other underlying conditions. Bedframes also differ in their design, materials, texture, and ease of disassembly for cleaning. In this study, the authors evaluated five hospital bedframes in terms of retained soil and ease of cleaning as rated by volunteers. METHODS: Hospital mattresses were placed on five different bedframes and soiled with mock bodily fluids containing Geobacillus stearothermophilus endospores as an indicator organism for contamination. In a second set of experiments, volunteers evaluated the bedframes for ease of cleaning; fewer than 30% of the volunteers had experience cleaning in hospitals or had previously received infection-control training. Questionnaires evaluated subjective measures such as ease of cleaning and texture. RESULTS: Researchers observed a strong correlation between the initial amount of soil retained, the most probable number calculations of endospore counts, and the number of washes to reach extinction (no detectable endospores). Although volunteers' rankings for ease of cleaning were independent of the amount of soil retained, their rankings correlated with the actual washes to reach undetectable limits and bedframe materials that were perceived as harder to clean. CONCLUSIONS: This study demonstrates the importance of both bedframe design and user cleaning experience in reducing bedframes as a source of healthcare-associated infections.

Effect of mattress bedding layer structure on pressure relief performance and subjective lying comfort.

Mattresses' pressure relief performance and comfort largely affect sleep quality. Mattress filling materials have been proven to affect the interface pressure distribution and comfort, but the effect of mattress structure is unclear. In this paper, the interface pressure distribution and subjective comfort of 10 subjects were assessed in the different bedding layer structures of mattresses, after mattress support performance was tested. The results show that the mattresses with bedding material hardness gradually increasing from the top layer to the bottom layer (BMH-ITTB) structure have a softer surface layer, a better support core layer, and higher fitness. This enables the mattress to achieve a better decompression effect. The low-pressure area (PAI≤0.67kPa) increased, while the high-pressure area (PAI≥2.67kPa and PAI≥4.00kPa), maximum pressure (P95), average pressure (P50), and pressure index (PI) decreased. This also enables the mattress to achieve higher subjective comfort scores.