Self-efficacy and outcome expectations regarding client activation determine professionals’ level of actively engaging clients during daily activities. The Client Activation Self-Efficacy and Outcome Expectation Scales for nurses and domestic support workers (DSWs) were developed to measure these concepts. This study aimed to assess their psychometric properties. Cross-sectional data from a sample of Dutch nurses (n=150) and DSWs (n=155) were analysed. Descriptive statistics were used to examine floor and ceiling effects. Construct validity was assessed by testing research-based hypotheses. Internal consistency was determined with Cronbach’s alpha. The scales for nurses showed a ceiling effect. There were no floor or ceiling effects in the scales for domestic support workers. Three out of five hypotheses could be confirmed (construct validity). For all scales, Cronbach’s alpha coefficients exceeded 0.70. In conclusion, all scales had moderate construct validity and high internal consistency. Further research is needed concerning their construct validity, testretest reliability and sensitivity to change.
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Background: Functional decline is common in nursing home residents. Nursing staff can help prevent this decline, by encouraging residents to be more active in functional activities. Questionnaires measuring the extent to which nursing staff encourage functional activity among residents are lacking. In addition, there are no measurement instruments to gain insight into nursing staff perceived barriers and facilitators to this behavior. The aim of this study was to develop, and study the usability, of the MAastrIcht Nurses Activities INventory (MAINtAIN), an inventory assessing a) the extent to which nursing staff perceive to perform behaviors that optimize and maintain functional activity among nursing home residents and b) the perceived barriers and facilitators related to this behavior. Methods: Using a mixed-methods approach the MAINtAIN was developed and its usability was studied. Development was based on literature, expert opinions, focus group (N = 3) and individual interviews (N = 14) with residents and staff from nine nursing homes in the Netherlands. Usability was studied in a cross-sectional study with 37 nurses and certified nurse assistants; data were analyzed using descriptive statistics. Results: Development of the MAINtAIN resulted in two distinctive parts: MAINtAIN-behaviors and MAINtAIN-barriers. MAINtAIN-behaviors, targeting nursing staff behavior to optimize and maintain functional activity, includes 19 items covering activities of daily living, household activities, and miscellaneous activities. MAINtAIN-barriers addresses the perceived barriers and facilitators related to this behavior and comprises 33 items covering barriers and facilitators related to the residents, the professionals, the social context, and the organizational and economic context. The usability study showed that the inventory was not difficult to complete, that items and response options were clear,and that the number of missing values was low. Few items showed a floor or ceiling effect. Conclusions: The newly developed inventory MAINtAIN provides a usable method for researchers and nursing homes to obtain insight into nursing staff perceived behavior in optimizing functional activity among residents and their perceived barriers and facilitators related to this behavior. Outcomes of the MAINtAIN may contribute to change in nursing staff behavior and may improve nursing care. Further research with regard to the psychometric properties of the MAINtAIN is recommended.
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BACKGROUND: Intensive care unit (ICU) stays often lead to reduced physical functioning. Change in physical functioning in patients in the ICU is inadequately assessed through available instruments. The de Morton Mobility Index (DEMMI), developed to assess mobility in elderly hospitalized patients, is promising for use in patients who are critically ill.OBJECTIVE: The aim of this study was to evaluate the clinimetric properties of the DEMMI for patients in the ICU.DESIGN: A prospective, observational reliability and validity study was conducted.METHODS: To evaluate interrater and intrarater reliability (intraclass correlation coefficients), patients admitted to the ICU were assessed with the DEMMI during and after ICU stay. Validity was evaluated by correlating the DEMMI with the Barthel Index (BI), the Katz Index of Independence in Activities of Daily Living (Katz ADL), and manual muscle testing (MMT). Feasibility was evaluated based on the percentage of participants in which the DEMMI could be assessed, the floor and ceiling effects, and the number of adverse events.RESULTS: One hundred fifteen participants were included (Acute Physiology and Chronic Health Evaluation II [APACHE II] mean score=15.2 and Sepsis-related Organ Failure Assessment [SOFA] mean score=7). Interrater reliability was .93 in the ICU and .97 on the wards, whereas intrarater reliability during the ICU stay was .68. Validity (Spearman rho coefficient) during the ICU stay was .56, -.45, and .57 for the BI, Katz ADL, and MMT, respectively. The DEMMI showed low floor and ceiling effects (2.6%) during and after ICU discharge. There were no major adverse events.LIMITATIONS: Rapid changes in participants' health status may have led to underestimation of intrarater reliability.CONCLUSION: The DEMMI was found to be clinically feasible, reliable, and valid for measuring mobility in an ICU population. Therefore, the DEMMI should be considered a preferred instrument for measuring mobility in patients during and after their ICU stay.
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OBJECTIVES: To determine the effectiveness of a proactive primary care program on the daily functioning of older people in primary care. DESIGN: Single-blind, three-arm, cluster-randomized controlled trial with 1-year follow-up. SETTING: Primary care setting, 39 general practices in the Netherlands. PARTICIPANTS: Community-dwelling people aged 60 and older (N = 3,092). INTERVENTIONS: A frailty screening intervention using routine electronic medical record data to identify older people at risk of adverse events followed by usual care from a general practitioner; after the screening intervention, a nurse-led care program consisting of a comprehensive geriatric assessment, evidence-based care planning, care coordination, and follow-up; usual care. MEASUREMENTS: Primary outcome was daily functioning measured using the Katz-15 (6 activities of daily living (ADLs), 8 instrumental activities of daily living (IADLs), one mobility item (range 0–15)); higher scores indicat greater dependence. Secondary outcomes included quality of life, primary care consultations, hospital admissions, emergency department visits, nursing home admissions, and mortality. RESULTS: The participants in both intervention arms had less decline in daily functioning than those in the usual care arm at 12 months (mean Katz-15 score: screening arm, 1.87, 95% confidence interval (CI) = 1.77–1.97; screening and nurse-led care arm, 1.88, 95% CI = 1.80–1.96; control group, 2.03, 95% CI = 1.9 –2.13; P = .03). No differences in quality of life were observed. CONCLUSION: Participants in both intervention groups had less decline than those in the control group at 1-year follow-up. Despite the statistically significant effect, the clinical relevance is uncertain at this point because of the small differences. Greater customizing of the intervention combined with prolonged follow-up may lead to more robust results.
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Recent developments in digital technology and consumer culture have created new opportunities for retail and brand event concepts which create value by offering more than solely marketing or transactions, but rather a place where passion is shared. This chapter will define the concept of ‘fashion space’ and consumer experience, and delves into strategies for creating experiences that both align with a brand’s ethos and identity and build brand communities. It will provide insight on creating strong shared brand experiences that integrate physical and digital spaces, AR and VR. These insights can be used for consumer spaces but also for media and buyer events, runway shows, test labs and showrooms. Since its launch in 2007, international fashion brand COS has focused on creating fashion spaces that build and reinforce a COS fashion community. COS retail stores with their extraordinary architecture, both traditional and contemporary, contribute stories and facilitate intense brand experiences. Moreover, COS’ dedication to share the artistic inspirations of its people led to collaborating on interactive and multi-sensory installations which allow consumers to affectively connect to the brand’s personality and values. Thus, the brand was able to establish itself firmly in the lifestyle of its customers, facilitating and developing their aesthetics and values. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Communicating Fashion Brands. Theoretical and Practical Perspectives" on 03-03-2020, available online: https://www.routledge.com/Communicating-Fashion-Brands-Theoretical-and-Practical-Perspectives/Huggard-Cope/p/book/9781138613560. LinkedIn: https://nl.linkedin.com/in/overdiek12345
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A substantial amount of studies have addressed the influence of sound on human performance. In many of these, however, the large acoustic differences between experimental conditions prevent a direct translation of the results to realistic effects of room acoustic interventions. This review identifies those studies which can be, in principle, translated to (changes in) room acoustic parameters and adds to the knowledge about the influence of the indoor sound environment on people. The review procedure is based on the effect room acoustics can have on the relevant quantifiers of the sound environment in a room or space. 272 papers containing empirical findings on the influence of sound or noise on some measure of human performance were found. Of these, only 12 papers complied with this review's criteria. A conceptual framework is suggested based on the analysis of results, positioning the role of room acoustics in the influence of sound on task performance. Furthermore, valuable insights are pre- sented that can be used in future studies on this topic. Whi le the influence of the sound environment on performance is clearly an issue in many situations, evidence regarding the effectiveness of strategies to control the sound environment by room acoustic design is lacking and should be a focus area in future studies.
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Current methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not consistent with process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to very limited application of energy performance diagnosis in practice. In a previous paper, a generic reference architecture – hereafter referred to as the 4S3F (four symptoms and three faults) framework – was developed. Because it is closely related to the way HVAC experts diagnose problems in HVAC installations, 4S3F largely overcomes the problem of limited application. The present article addresses the fault diagnosis process using automated fault identification (AFI) based on symptoms detected with a diagnostic Bayesian network (DBN). It demonstrates that possible faults can be extracted from P&IDs at different levels and that P&IDs form the basis for setting up effective DBNs. The process was applied to real sensor data for a whole year. In a case study for a thermal energy plant, control faults were successfully isolated using balance, energy performance and operational state symptoms. Correction of the isolated faults led to annual primary energy savings of 25%. An analysis showed that the values of set probabilities in the DBN model are not outcome-sensitive. Link to the formal publication via its DOI https://doi.org/10.1016/j.enbuild.2020.110289
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The Heating Ventilation and Air Conditioning (HVAC) sector is responsible for a large part of the total worldwide energy consumption, a significant part of which is caused by incorrect operation of controls and maintenance. HVAC systems are becoming increasingly complex, especially due to multi-commodity energy sources, and as a result, the chance of failures in systems and controls will increase. Therefore, systems that diagnose energy performance are of paramount importance. However, despite much research on Fault Detection and Diagnosis (FDD) methods for HVAC systems, they are rarely applied. One major reason is that proposed methods are different from the approaches taken by HVAC designers who employ process and instrumentation diagrams (P&IDs). This led to the following main research question: Which FDD architecture is suitable for HVAC systems in general to support the set up and implementation of FDD methods, including energy performance diagnosis? First, an energy performance FDD architecture based on information embedded in P&IDs was elaborated. The new FDD method, called the 4S3F method, combines systems theory with data analysis. In the 4S3F method, the detection and diagnosis phases are separated. The symptoms and faults are classified into 4 types of symptoms (deviations from balance equations, operating states (OS) and energy performance (EP), and additional information) and 3 types of faults (component, control and model faults). Second, the 4S3F method has been tested in four case studies. In the first case study, the symptom detection part was tested using historical Building Management System (BMS) data for a whole year: the combined heat and power plant of the THUAS (The Hague University of Applied Sciences) building in Delft, including an aquifer thermal energy storage (ATES) system, a heat pump, a gas boiler and hot and cold water hydronic systems. This case study showed that balance, EP and OS symptoms can be extracted from the P&ID and the presence of symptoms detected. In the second case study, a proof of principle of the fault diagnosis part of the 4S3F method was successfully performed on the same HVAC system extracting possible component and control faults from the P&ID. A Bayesian Network diagnostic, which mimics the way of diagnosis by HVAC engineers, was applied to identify the probability of all possible faults by interpreting the symptoms. The diagnostic Bayesian network (DBN) was set up in accordance with the P&ID, i.e., with the same structure. Energy savings from fault corrections were estimated to be up to 25% of the primary energy consumption, while the HVAC system was initially considered to have an excellent performance. In the third case study, a demand-driven ventilation system (DCV) was analysed. The analysis showed that the 4S3F method works also to identify faults on an air ventilation system.
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At a time when the population is ageing and most people choose to live in their own home for as long as possible, it is important to consider various aspects of supportive and comfortable environments for housing. This study, conducted in South Australia, aims to provide information about the links between the type of housing in which older people live, the weather and occupants’ heating and cooling behaviours as well as their health and well-being. The study used a Computer-Assisted Telephone Interviewing (CATI) system to survey 250 people aged 65 years and over who lived in their own home. The respondents were recruited from three regions representing the three climate zones in South Australia: semi-arid, warm temperate and temperate. The results show that while the majority of respondents reported being in good health, many lived in dwellings with minimal shading and no wall insulation and appeared to rely on the use of heaters and coolers to achieve thermally comfortable conditions. Concerns over the cost of heating and cooling were shared among the majority of respondents and particularly among people with low incomes. Findings from this study highlight the importance of providing information to older people, carers, designers and policy makers about the interrelationships between weather, housing design, heating and cooling behaviours, thermal comfort, energy use and health and well-being, in order to support older people to age in place independently and healthily. https://doi.org/10.1016/j.buildenv.2019.03.023 LinkedIn: https://www.linkedin.com/in/jvhoof1980/
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