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Institute
The study addresses staffing and workforce issues for home‐ and community‐based long‐term care in Germany. It is based on a study aimed at developing staffing recommendations for home‐care provider organisations. The study was commissioned within the regulation of the German long‐term care act. Following an exploratory literature search on staffing issues in home‐ and community‐based care qualitative interviews with 30 experts in home care were conducted. In addition, time needed for different interventions in homes of people in need of care (n = 129) was measured. Ethical approval for the study was obtained. The literature on the topic is limited. In Germany, no fixed staff‐to‐client ratio exists, but staffing is determined primarily by reimbursement policies, not by care recipients’ needs. The results of the interviews indicated that staffing ratios are not the main concern of home‐care providers. Experts stressed that general availability of staff with different qualification levels and the problems of existing regulation on services and their reimbursement are of higher concern. The measurement of time needed for selected interventions reveals the huge heterogeneity of home‐care service delivery and the difficulty of using a task‐based approach to determine staffing levels. Overall, the study shows that currently demand for home‐care exceeds supply. Staff shortage puts a risk to home care in Germany. Existing approaches of reimbursement‐driven determination of staffing levels have not been sufficient. A new balance between staffing, needs and reimbursement policies needs to be developed.
"The limits of my language are the limits of my mind. All I know is what I have words for" (Wittgenstein). When learning something completely new, we connect the unknown term to an already existing part of our knowledge. We can only build new ideas and insights upon an existing conceptual foundation. In the field of statistics, we educators frequently find ourselves met with great confusion when teaching novices. These students, entirely unfamiliar with even basic statistics, must connect the introduced statistical terms within their personal existing networks of largely non-statistical knowledge. Lecturers, on the other hand, who are well versed in statistics, have deeply internalized the content to be taught and its relevant context. The juxtaposition of the two roles may produce amusement in a lecturer upon gaining insight into the word associations made by the statistical novices. For example, a ‘logistic regression’ does not involve the ‘shipping of goods in economically difficult times,’ though this might seem entirely reasonable and intuitive to the statistics learner. Other times, these different perspectives can lead to headaches and frustration for both learners and their lecturers. In this article, we illustrate how simple statistical terms are initially connected to a student’s pre-exiting knowledge and how these associations change after completing an introductory course in applied statistics. Furthermore, we emphasize the important difference between “term”, “approach”, and “context”. Understanding this fundamental distinction may help improve the communication between the lecturer and the learner. We offer a collection of practical tools for instructors to help promote students’ conceptual understanding in a supportive, mutually-beneficial learning environment.
The current study presents a new class of functional derivatives (1–3) consisting of a dicationic viologen (4,4’-bipyridinium unit) (V21) capped by nucleobases thymine (NB1), adenine (NB2), thymine/adenine (NB1, NB2), and ion-paired with amphiphilic anion 3,4,5-tris(dodecyloxy)benzene sulfonate (DOBS-). The target of our work focuses on the design and synthesis of molecular building blocks in which three different functionalities are combined: chromophore (V21 unit), molecular recognition (NB unit), and thermotropic liquid crystal (DOBS unit). The resulted materials exhibit liquid crystalline properties at ambient temperature with significant particularities-induced by nucleobases in the mesogen structure. Structure–properties relationship study focuses on providing knowledge about (1) how the thermotropic, redox properties, thermochromism, or ionic conductive properties are influenced by the presence of purinic or pyrimidinic nucleobases, and (2) how effective is their ability to selfassembly by hydrogen bonding in nonpolar solvents. The presence of nucleobases has been proved to have a substantial impact on electron transfer rate during the reduction of viologen moieties by intermolecular aggregation. Ionic conductivity and thermochromic properties of derivatives 1–3 were investigated and compared to a non-containing nucleobase analog methyl viologen with 3,4,5 tris(dodecyloxy)benzene sulfonate anion (MV) as reference.
Social networking technologies such as social media, crowd concepts, or gamification represent key resources for the integration of customers, value network partners, and the community into sustainable business models. However, there is a lack of understanding of how sustainable enterprises apply such technologies. To close this gap, we propose a taxonomy of design options for social networking technologies in sustainable business models. Our taxonomy comprises eight dimensions that deal with relevant questions of the design of social networking technologies. When creating our taxonomy, we built on existing literature and use cases and involved experienced practitioners in the field of sustainable business models for the validation of our taxonomy. In this way, our study contributes to knowledge on the use of social networking technologies in sustainable business models and how such technologies influence the boundaries of sustainable business models. Likewise, we provide practical insights into the use of social networking technologies in sustainable business models.
Background and Objectives
Despite the long-standing consensus on the importance of tumor size, tumor number and carcinoembryonic antigen (CEA) levels as predictors of long-term outcomes among patients with colorectal liver metastases (CRLM), optimal prognostic cut-offs for these variables have not been established.
Methods
Patients who underwent curative-intent resection of CRLM and had available data on at least one of the three variables of interest above were selected from a multi-institutional dataset of patients with known KRAS mutational status. The resulting cohort was randomly split into training and testing datasets and recursive partitioning analysis was employed to determine optimal cut-offs. The concordance probability estimates (CPEs) for these optimal cut offs were calculated and compared to CPEs for the most widely used cut-offs in the surgical literature.
Results
A total of 1643 patients who met eligibility criteria were identified. Following recursive partitioning analysis in the training dataset, the following cut-offs were identified: 2.95 cm for tumor size, 1.5 for tumor number and 6.15 ng/ml for CEA levels. In the entire dataset, the calculated CPEs for the new tumor size (0.52), tumor number (0.56) and CEA (0.53) cut offs exceeded CPEs for other commonly employed cut-offs.
Conclusion
The current study was able to identify optimal cut-offs for the three most commonly employed prognostic factors in CRLM. While the per variable gains in discriminatory power are modest, these novel cut-offs may help produce appreciable increases in prognostic performance when combined in the context of future risk scores.
The Lingen equilibrium model
(2021)
Equilibria protect against crisis. All disciplines of sciences have the objective to create equilibria. But economics are not successful in this point. Here a simple equilibrium model based on a wage-price-rule is demonstrated. Economics are able to create economic equilibria by using this rule. But in economic systems there are a lot of rules, especially in accounting, which make economic equilibria impossible. These rules must be changed. If it is possible to create economic equilibria, the side-effect is the realization of economic sustainability.
Objective: To understand the meaning of the Learning Incubator as a teaching and learning technology in the nursing area.
Method: Qualitative research, supported by grounded theory. Data was collected from March to November 2019, through interviews with guiding questions and hypotheses directed at two different groups. The analysis was done by comparative data analysis and included open, axial and integrated coding, as proposed by the method. The theoretical sample included 23 participants, which were nurses, technicians, and nursing students.
Results: The delimitation of the categories converged in the phenomenon (Re)signifying knowledge and practices in the Learning Incubator. Guided by the paradigmatic model, the categories were named according to the three following components: Condition: Recognizing that the being and the professional practice are inextricable; Action/interaction: Revisiting professional practices that are repetitive and mechanic; Consequence: Referring to the reflections and knowledge constructed in the Learning Incubator.
Conclusion: The Learning Incubator, as seen by the study participants, is not limited to the Incubator meetings or the themes addressed in it. Beyond a welcoming physical space, the Incubator expands itself and becomes a tool that promotes self-reflection and self-assessment of professional behaviors and attitudes.
Objective:
To understand the meaning of entrepreneurial nursing care as inducer of healthy practices in vulnerable communities.
Method:
Grounded theory, whose data collection took place between March and December 2019, from interviews with 19 participants from the central region of Rio Grande do Sul, Brazil and comparative data analysis.
Results:
The phenomenon was delimited: Experiencing small/big transformations in the invisibility of everyday life in promoting healthy practices in vulnerable communities. Conducted by the paradigmatic model, the categories were named based on the components: Condition: Making choices and negotiating non-negotiable exchanges; Action/interaction: Motivating oneself to maintain basic human needs; Consequence: Broadening perspectives and transcending personal and collective boundaries.
Conclusion:
Entrepreneurial nursing care as inducer of healthy practices in vulnerable communities is not reduced to a scientific theory or to the linear and decontextualized apprehension of healthy living, but extends to reach small/big transformations that occur in the invisibility of everyday life.
Background:
Large health organizations often struggle to build complex health information technology (HIT) solutions and are faced with ever-growing pressure to continuously innovate their information systems. Limited research has been conducted that explores the relationship between organizations’ innovative capabilities and HIT quality in the sense of achieving high-quality support for patient care processes.
Objective:
The aim of this study is to explain how core constructs of organizational innovation capabilities are linked to HIT quality based on a conceptual sociotechnical model on innovation and quality of HIT, called the IQHIT model, to help determine how better information provision in health organizations can be achieved.
Methods:
We designed a survey to assess various domains of HIT quality, innovation capabilities of health organizations, and context variables and administered it to hospital chief information officers across Austria, Germany, and Switzerland. Data from 232 hospitals were used to empirically fit the model using partial least squares structural equation modeling to reveal associations and mediating and moderating effects.
Results:
The resulting empirical IQHIT model reveals several associations between the analyzed constructs, which can be summarized in 2 main insights. First, it illustrates the linkage between the constructs measuring HIT quality by showing that the professionalism of information management explains the degree of HIT workflow support (R²=0.56), which in turn explains the perceived HIT quality (R²=0.53). Second, the model shows that HIT quality was positively influenced by innovation capabilities related to the top management team, the information technology department, and the organization at large. The assessment of the model’s statistical quality criteria indicated valid model specifications, including sufficient convergent and discriminant validity for measuring the latent constructs that underlie the measures of HIT quality and innovation capabilities.
Conclusions:
The proposed sociotechnical IQHIT model points to the key role of professional information management for HIT workflow support in patient care and perceived HIT quality from the viewpoint of hospital chief information officers. Furthermore, it highlights that organizational innovation capabilities, particularly with respect to the top management team, facilitate HIT quality and suggests that health organizations establish this link by applying professional information management practices. The model may serve to stimulate further scientific work in the field of HIT adoption and diffusion and to provide practical guidance to managers, policy makers, and educators on how to achieve better patient care using HIT.