583 resultados para Yarn quality


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Research publication is one of the final steps in the research process, which begins with development of a research idea. Moving through the process of bringing together collaborators, design of the study protocol, securing of grant or study funding, and obtaining ethic(s) approval to conduct the research, and implementation of the research, analysis and drawing of conclusions based on the data leads to publication of the study results. Although a final step in the research process entails dissemination of the results, many studies go unreported or are improperly reported. Indeed, reviewers have suggested that many randomized controlled trials, observational studies, and qualitative studies lack crucial methodological features or details that lend credibility to study results (Simera et al., 2010).

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Over the past decade, an exciting area of research has emerged that demonstrates strong links between specific nursing care activities and patient outcomes. This body of research has resulted in the identification of a set of "nursing-sensitive outcomes"(NSOs). These NSOs may be interpreted with more meaning when they are linked to evidence-based best practice guidelines, which provide a structured means of ensuring care is consistent among all health care team members, across geographic locations, and across care settings. Uptake of evidence-based best practices at the point of care has been shown to have a measurable positive impact on processes of care and patient outcomes. The purpose of this paper is to present a systematic, narrative review of the literature regarding the clinical effectiveness of nursing management strategies on stroke patient outcomes sensitive to nursing interventions. Subsequent investigation will explore current applications of nursing-sensitive outcomes to patients with stroke, and identify and validate measurable NSOs within stroke care delivery.

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AIMS The aim of this narrative review of the literature was to examine the current state of knowledge regarding the impact of aggressive surgical interventions for severe stroke on patient and caregiver quality of life and caregiver outcomes. BACKGROUND Decompressive hemicraniectomy (DHC) is a surgical therapeutic option for treatment of massive middle cerebral artery infarction (MCA), lobar intracerebral hemorrhage (ICH), and severe aneurysmal subarachnoid hemorrhage (aSAH). Decompressive hemicraniectomy has been shown to be effective in reducing mortality in these three life-threatening conditions. Significant functional impairment is an experience common to many severe stroke survivors worldwide and close relatives experience decision-making difficulty when confronted with making life or death choices related to surgical intervention for severe stroke. DATA SOURCES Academic Search Premier, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Medline, and PsychInfo. REVIEW METHODS A narrative review methodology was utilized in this review of the literature related to long-term outcomes following decompressive hemicraniectomy for stroke. The key words decompressive hemicraniectomy, severe stroke, middle cerebral artery stroke, subarachnoid hemorrhage, lobar ICH, intracerebral hemorrhage, quality of life, and caregivers, literature review were combined to search the databases. RESULTS Good functional outcomes following DHC for life-threatening stroke have been shown to be associated with younger age and few co-morbid conditions. It was also apparent that quality of life was reduced for many stroke survivors, although not assessed routinely in studies. Caregiver burden has not been systematically studied in this population. CONCLUSION Most patients and caregivers in the studies reviewed agreed with the original decision to undergo DHC and would make the same decision again. However, little is known about quality of life for both patients and caregivers and caregiver burden over the long-term post-surgery. Further research is needed to generate information and interventions for the management of ongoing patient and carer recovery following DHC for severe stroke.

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The motivation for this analysis is the recently developed Excellence in Research for Australia (ERA) program developed to assess the quality of research in Australia. The objective is to develop an appropriate empirical model that better represents the underlying production of higher education research. In general, past studies on university research performance have used standard DEA models with some quantifiable research outputs. However, these suffer from the twin maladies of an inappropriate production specification and a lack of consideration of the quality of output. By including the qualitative attributes of peer-reviewed journals, we develop a procedure that captures both quality and quantity, and apply it using a network DEA model. Our main finding is that standard DEA models tend to overstate the research efficiency of most Australian universities.

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Aim The aim of this study was to analyse the effect of an 8-week multimodal physiotherapy programme (MPP), integrating physical land-based therapeutic exercise (TE), adapted swimming and health education, as a treatment for patients with chronic non-specific neck pain (CNSNP), on disability, general health/mental states and quality of life. Methods 175 CNSNP patients from a community-based centre were recruited to participate in this prospective study. Intervention: 60-minute session (30 minutes of land-based exercise dedicated to improving mobility, motor control, resistance and strengthening of the neck muscles, and 30 minutes of adapted swimming with aerobic exercise keeping a neutral neck position using a snorkel). Health education was provided using a decalogue on CNSNP and constant repetition of brief advice by the physiotherapist during the supervision of the exercises in each session. Study outcomes: primary: disability (Neck Disability Index); secondary: physical and mental health states and quality of life of patients (SF-12 and EuroQoL-5D respectively). Differences between baseline data and that at the 8-week follow-up were calculated for all outcome variables. Results Disability showed a significant improvement of 24.6% from a mean (SD) of 28.2 (13.08) at baseline to 16.88 (11.62) at the end of the 8-week intervention. All secondary outcome variables were observed to show significant, clinically relevant improvements with increase ranges between 13.0% and 16.3% from a mean of 0.70 (0.2) at baseline to 0.83 (0.2), for EuroQoL-5D, and from a mean of 40.6 (12.7) at baseline to 56.9 (9.5), for mental health state, at the end of the 8-week intervention. Conclusion After 8 weeks of a MPP that integrated land-based physical TE, health education and adapted swimming, clinically-relevant and statistically-significant improvements were observed for disability, physical and mental health states and quality of life in patients who suffer CNSNP. The clinical efficacy requires verification using a randomised controlled study design.

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The present work demonstrates a systematic approach for the synthesis of pure kesterite-phase Cu2ZnSnS4 (CZTS) nanocrystals with a uniform size distribution by a one-step, thioglycolic acid (TGA)-assisted hydrothermal route. The formation mechanism and the role of TGA in the formation of CZTS compound were thoroughly studied. It has been found that TGA interacted with Cu2+ to form Cu+ at the initial reaction stage and controlled the crystal-growth of CZTS nanocrystals during the hydrothermal reaction. The consequence of the reduction of Cu2+ to Cu+ led to the formation Cu2−xS nuclei, which acted as the crystal framework for the formation of CZTS compound. CZTS was formed by the diffusion of Zn2+ and Sn4+ cations to the lattice of Cu2−xS during the hydrothermal reaction. The as-synthesized CZTS nanocrystals exhibited strong light absorption over the range of wavelength beyond 1000 nm. The band gap of the material was determined to be 1.51 eV, which is optimal for application in photoelectric energy conversion device.

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Process variability in pollutant build-up and wash-off generates inherent uncertainty that affects the outcomes of stormwater quality models. Poor characterisation of process variability constrains the accurate accounting of the uncertainty associated with pollutant processes. This acts as a significant limitation to effective decision making in relation to stormwater pollution mitigation. The study undertaken developed three theoretical scenarios based on research findings that variations in particle size fractions <150µm and >150µm during pollutant build-up and wash-off primarily determine the variability associated with these processes. These scenarios, which combine pollutant build-up and wash-off processes that takes place on a continuous timeline, are able to explain process variability under different field conditions. Given the variability characteristics of a specific build-up or wash-off event, the theoretical scenarios help to infer the variability characteristics of the associated pollutant process that follows. Mathematical formulation of the theoretical scenarios enables the incorporation of variability characteristics of pollutant build-up and wash-off processes in stormwater quality models. The research study outcomes will contribute to the quantitative assessment of uncertainty as an integral part of the interpretation of stormwater quality modelling outcomes.

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Purpose Health service quality is an important determinant for health service satisfaction and behavioral intentions. The purpose of this paper is to investigate requirements of e‐health services and to develop a measurement model to analyze the construct of “perceived e‐health service quality.” Design/methodology/approach The paper adapts the C‐OAR‐SE procedure for scale development by Rossiter. The focal aspect is the “physician‐patient relationship” which forms the core dyad in the healthcare service provision. Several in‐depth interviews were conducted in Switzerland; first with six patients (as raters), followed by two experts of the healthcare system (as judges). Based on the results and an extensive literature research, the classification of object and attributes is developed for this model. Findings The construct e‐health service quality can be described as an abstract formative object and is operationalized with 13 items: accessibility, competence, information, usability/user friendliness, security, system integration, trust, individualization, empathy, ethical conduct, degree of performance, reliability, and ability to respond. Research limitations/implications Limitations include the number of interviews with patients and experts as well as critical issues associated with C‐OAR‐SE. More empirical research is needed to confirm the quality indicators of e‐health services. Practical implications Health care providers can utilize the results for the evaluation of their service quality. Practitioners can use the hierarchical structure to measure service quality at different levels. The model provides a diagnostic tool to identify poor and/or excellent performance with regard to the e‐service delivery. Originality/value The paper contributes to knowledge with regard to the measurement of e‐health quality and improves the understanding of how customers evaluate the quality of e‐health services.

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Purpose The purpose of this paper is to explore the concept of service quality for settings where several customers are involved in the joint creation and consumption of a service. The approach is to provide first insights into the implications of a simultaneous multi‐customer integration on service quality. Design/methodology/approach This conceptual paper undertakes a thorough review of the relevant literature before developing a conceptual model regarding service co‐creation and service quality in customer groups. Findings Group service encounters must be set up carefully to account for the dynamics (social activity) in a customer group and skill set and capabilities (task activity) of each of the individual participants involved in a group service experience. Research limitations/implications Future research should undertake empirical studies to validate and/or modify the suggested model presented in this contribution. Practical implications Managers of service firms should be made aware of the implications and the underlying factors of group services in order to create and manage a group experience successfully. Particular attention should be given to those factors that can be influenced by service providers in managing encounters with multiple customers. Originality/value This article introduces a new conceptual approach for service encounters with groups of customers in a proposed service quality model. In particular, the paper focuses on integrating the impact of customers' co‐creation activities on service quality in a multiple‐actor model.

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Purpose The purpose of this study is to compare quality perceptions of virtual servicescapes and physical service encounters among buyers and renters of real estate. Design/methodology/approach Qualitative data from a sample of 27 professionals engaged in higher education in the USA are gathered by recorded interview before being transcribed and imported into MAXQDA 2007 software for analytical coding. Findings Particular differences are found to exist between renters and buyers with regard to specific service attributes – for example, description of properties and type of visuals during the pre‐purchase stage, knowledge/experience and honest behavior of realtors during the service encounter stage and a continuous relationship with the realtor in the post‐encounter stage. Research limitations/implications Generalization of the results is limited because the study utilizes data from only one industry (real estate) and from only one demographic segment (professionals in higher education). Practical implications Real‐estate firms need to pay attention to both the training of agents and the design and content of their websites. Originality/value This paper contributes to knowledge regarding virtual servicescapes in professional services.

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Purpose The purpose of this research is to examine the concept of “potential quality” – that is, a company's tangible search qualities (such as the physical servicescape and virtual servicescape) – within the context of the real‐estate industry in the USA. Design/methodology/approach This qualitative study collects data by conducting personal in‐depth interviews with 34 respondents who had been recent buyers or renters of property. The data are then coded and themed to identify quality dimensions relevant to this industry. Findings The results indicate that a buyer's perception of the overall service quality of real‐estate service consists of two components: the interaction with a realtor (process quality); and the virtual servicescape, especially the firm's website design and content (potential quality). The study concludes that existing scales (such as SERVQUAL and RESERV) fail to capture the tangible component of service quality sufficiently in the real‐estate industry. Research limitations/implications The study uses data from only one industry (real estate) and from only one demographic segment (professionals in higher education). Practical implications Service providers of intangible, high‐contact services must appreciate the importance of the virtual servicescape as a surrogate quality indicator that can help to reduce information asymmetries and consumers' uncertainty with regard to initiating a business relationship. Real estate firms need to pay attention to the training of agents and the design and content of their e‐service systems. Originality/value This study integrates potential quality, process quality, and outcome quality in a comprehensive proposed model. In particular, the study identifies “potential quality” as a combination of the attributes of the virtual service environment and the physical service environment.

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Many consumer markets are now characterized by a high degree of market saturation and an increasing level of competition, in particular from retailer brands. Furthermore, consumers face an ever increasing level of product variety. For instance, about 30,000 new products in the fast moving consumer goods (FMCG) market have been launched in Germany in a single year representing about 600 products per week. The increasing number of consumer brands thus has led to a form of “brand inflation” in FMCG markets. In addition, the role of consumers in the marketplace has changed as well. Consumers are more price sensitive, they have higher expectations with regard to product quality and customer service, and they rely rather on word-of-mouth communication than on traditional advertising. In addition, it appears that consumers have become more critical with regard to the perception of brands. High levels of price competition have led to a decreasing level of brand awareness and increased switching intentions of brands. As a consequence, the role of customer loyalty has become an increasingly important topic for businesses in consumer markets.

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Papua New Guinea (PNG) is facing what must seem like an insurmountable challenge to deliver quality healthcare servicesfor women living in both rural and urban areas. Glo bal governing bodies and donor agencies including WHO and UN have indicated that PNG does not have an appropriate health information system. Although there are some systems in place, to date, little research has been conducted on improving or resolving the data integrity and integration issues of the existing health information systems and automating the capture of women and newborns information in PNG. This current research study concentrates on the adoption of eHealth, as an innovative tool to strengthen the health information systems in PNG to meet WHO standards. The research targets maternal and child health focussing on child birth records asan exemplar...

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Big data analysis in healthcare sector is still in its early stages when comparing with that of other business sectors due to numerous reasons. Accommodating the volume, velocity and variety of healthcare data Identifying platforms that examine data from multiple sources, such as clinical records, genomic data, financial systems, and administrative systems Electronic Health Record (EHR) is a key information resource for big data analysis and is also composed of varied co-created values. Successful integration and crossing of different subfields of healthcare data such as biomedical informatics and health informatics could lead to huge improvement for the end users of the health care system, i.e. the patients.