Collaborative Evaluation Research Articles

Development and validation of a decision support tool for the diagnosis of acute heart failure: systematic review, meta-analysis, and modelling study

ObjectivesTo evaluate the diagnostic performance of N-terminal pro-B-type natriuretic peptide (NT-proBNP) thresholds for acute heart failure and to develop and validate a decision support tool that combines NT-proBNP concentrations with...

Performance Evaluation of Enterprise Collaboration Based on an Improved Elman Neural Network and AHP-EW

In order to mitigate the influence of human subjectivity on indicator weights in the performance evaluation of enterprise collaboration, and explore the nonlinear relationship between the enterprise collaboration influencing factors and the evaluation results, this paper propose a combined performance evaluation model based on AHP-EW and an improved Elman neural network. Firstly, based on the characteristics of collaboration among manufacturing enterprises, the evaluation system for the collaborative performance of manufacturing enterprises is constructed from three dimensions. Moreover, this study combines subjective and objective weighting methods to obtain comprehensive weights that take into account both expert experience and objective information. Then, an improved Elman neural network is proposed and trained to predict and evaluate the collaborative performance indicator data, which greatly shortens the evaluation time and improves evaluation accuracy. The experimental results show that the proposed model has a faster convergence speed and higher accuracy, which will provide a valuable reference for decision making and the management of enterprise collaboration.

Advancing Nursing Science and Practice in Unison.

The purpose of this article is to explore the strengths of collaborative Doctor of Nursing Practice (DNP) and the Doctor of Philosophy (PhD) research drawing on the assets of the complementary skill sets, explore examples of current DNP/PhD collaborations, and provide a model for building these partnerships. A DNP and PhD collaboration was examined through case analysis. Courtney & Neiheisel's model was used as a framework to examine the development, implementation, and evaluation of DNP and PhD collaboration. The DNP/PhD collaboration phases were examined using Tuckman's five-stage model for high-performance team development. Doctoral-prepared nurses must understand each other's background and education to facilitate combined contributions. This exemplar demonstrates the effectiveness of a synergistic relationship in a DNP/PhD collaboration. A collaborative partnership between DNP and PhD nurses creates a practice environment that helps discover, integrate, apply knowledge, and communicate and disseminate it. This same collaborative effort between the two roles has been shown to reduce practice gaps while ultimately improving patient outcomes.

Collaborative management evaluation of container shipping alliance in maritime logistics industry: CKYHE case analysis

With the shipping industry development, shipping alliances have become a new mode of competition and played a crucial role in the maritime logistics. The competitiveness of a container shipping alliance lies in its collaborative management operation level of the system. This article establishes an indicator system to evaluate a container shipping alliance's collaborative operation level and applies the fuzzy quality function deployment (QFD) method to build the collaborative management framework of the container shipping alliance. Drawing on the CKYHE case, it calculates the importance degrees of system elements in the alliance, and evaluates CKYHE's collaborative management level and its members' management and operation levels. The evaluation results prove the inevitability of the CKYHE alliance's disintegration and restructuring. Finally, this study provides a reliable systematic indicator system and effective collaborative management methods for alliance performance evaluation, which has positive significance for container shipping alliances to improve collaborative management.

Evaluation of Safety Management System for Pharmacotherapy Based on the Unified Management System for Side Effects and Allergy Information

In 2010, we established the unified management system of side effects and allergy information of patients based on collaborative evaluation by pharmacists and clinicians. We collected and evaluated 1,700 cases (2,810 drugs) of side effects and allergy information over 8 years until 2017, and registered this information in the electronic medical records. In addition, this information is shared with all the medical staff in our hospital by electronic medical records, and is utilized to restrict and avoid the prescription of the drugs which are suspected to cause side effects or allergy (hereafter, the suspected drugs) for each patient.

Evaluation of Ecological Suitability and Quality Suitability of Panax notoginseng Under Multi-Regionalization Modeling Theory.

Panax notoginseng is an important medicinal plant in China, but there are some limitations in the ecological suitability study, such as incomplete investigation of species distribution, single regionalization modeling, and lack of collaborative evaluation of ecological suitability, and quality suitability. In this study, the maximum entropy model was used to analyze the ecological suitability of P. notoginseng under current and future climates. The multi-source chemical information of samples was collected to evaluate the uniformity between quality and ecology. The results showed that the current suitable habitat was mainly in southwest China. In the future climate scenarios, the high suitable habitat will be severely degraded. Modeling based on different regionalization could predict larger suitable habitat areas. The samples in the high suitable habitat had both quality suitability and ecological suitability, and the accumulation of chemical components had different responses to different environmental factors. Two-dimensional correlation spectroscopy combined with deep learning could achieve rapid identification of samples from different suitable habitats. In conclusion, global warming is not conducive to the distribution and spread of P. notoginseng. The high suitable habitat was conducive to the cultivation of high-quality medicinal materials. Actual regionalization modeling had more guiding significance for the selection of suitable habitats in a small area. The multi-regionalization modeling theory proposed in this study could provide a new perspective for the ecological suitability study of similar medicinal plants. The results provided a reference for the introduction and cultivation, and lay the foundation for the scientific and standardized production of high-quality P. notoginseng.

Assessment of interprofessional collaborative practice components of perioperative teams

Objective: The purpose of this study was to conduct a hospital workforce survey of nurses to determine what interprofessional collaborative practice components they have in place at their worksites. The findings could indicate what is needed to create, expand, and maintain an effective interprofessional collaborative practice environment.Methods: The study used a random sample of working perioperative nurses who were members of a national perioperative registered nurse association database and had interprofessional collaborative practice training either by continuing medical education or micro credentialing. These nurses were sent two surveys to assess their worksite presence of interprofessional components. These validated surveys assess an organization’s capacity to have an interprofessional collaboration by examining the workplace environment, environmental mechanism, and institutional support of interprofessional collaboration.Results: Interprofessional collaboration within the perioperative worksite setting exists in most of the structures in place. However, urban sites were more likely to lack supportive components that build, evaluate, and continuously create interprofessional teams.Conclusions: There was an uneven implementation of the interprofessional collaboration components. The components vary by site, with urban hospitals having few components resulting in a more asymmetrical interprofessional team. The study’s findings indicate a need for an assessment of worksite interprofessional collaboration to ensure all components are in place and for evaluation and improvement of interprofessional collaboration.

Path optimization of open collaborative innovation of energy industry in urban agglomeration based on particle swarm optimization algorithm

To study the open collaborative innovation path optimization of urban agglomeration energy industry based on particle swarm optimization algorithm. Firstly, this paper brings industrial agglomeration and urban agglomeration into a unified analytical framework, uses location entropy and spatial Gini coefficient to measure the degree of industrial agglomeration, and evaluates the degree of regional industrial agglomeration competitiveness by constructing an evaluation index system of industrial agglomeration competitiveness. Then, the agglomeration index system was established, the development degree analysis method and Carlino model were used to analyze the development degree and agglomeration degree of eco-economic zones, and the agglomeration effect was analyzed by dynamic econometric method and spatial autocorrelation statistical method. Finally, a regional collaborative innovation capability evaluation model based on particle swarm optimization algorithm is constructed. Based on the index system and evaluation model, this paper evaluates and analyzes the collaborative innovation capability, and puts forward countermeasures and suggestions for future collaborative development.

Collaborative Evaluation Frameworks for Indigenous-Led Community Health Interventions: A Narrative Review

Abstract: This narrative review highlights evaluation approaches, principles, and frameworks for chronic disease interventions in North American Indigenous contexts. It aims to inform the co-development of an evaluation framework for two studies focused on improving diabetes and obesity outcomes for urban Indigenous communities. This review uses a Two-Eyed Seeing perspective that brings Indigenous and Western ways of being, knowing, and doing together. There is a paucity of published evaluation frameworks inclusive of both perspectives. The themes identified here suggest that evaluation approaches should address gender equity issues, be participatory, be grounded in local context, traditions, and knowledge, and be responsive to community-identified needs and solutions.

Collaborative co-design and evaluation of an immersive virtual reality application prototype for communication rehabilitation (DISCOVR prototype)

Purpose Virtual reality (VR) lends itself to communication rehabilitation by creating safe, replicable, and authentic simulated environments in which users learn and practice communication skills. The aim of this research was to obtain the views of health professionals and technology specialists on the design characteristics and usability of a prototype VR application for communication rehabilitation. Materials and Methods Nine professionals from different health and technology disciplines participated in an online focus group or individual online interview to evaluate the application and use of the VR prototype. Data sources were analysed using a content thematic analysis. Results Four main themes relating to VR design and implementation in rehabilitation were identified: (i) designing rehabilitation-focused virtual worlds; (ii) understanding and using VR hardware; (iii) making room for VR in rehabilitation and training; and (iv) implementing VR will not replace the health professional’s role. Discussion Health professionals and technology specialists engaged in co-design while evaluating the VR prototype. They identified software features requiring careful consideration to ensure improved usability, client safety, and success in communication rehabilitation outcomes. Continuing inclusive co-design, engaging health professionals, clients with communication disability, and their families will be essential to creating useable VR applications and integrating these successfully into rehabilitation. Implications for rehabilitation Health and technology professionals, along with clients, are integral to the co-design of new VR technology applications. Design of VR applications needs to consider the client’s communication, physical, cognitive, sensory, psychosocial, and emotional needs for greater usability of these programs. Realism and authenticity of interactions, characters, and environments are considered important factors to allow users to be fully immersed in virtual simulations to enhance rehabilitation.

Evaluation of the Thermo Scientific SureTectTM Listeria Species PCR Assay in a Broad Range of Foods and Selected Environmental Surfaces: Pre-Collaborative and Collaborative Study, First Action 2021.06.

BackgroundThe Thermo Scientific SureTect™ Listeria species PCR assay utilizes SolarisTM reagents for performing PCR for the rapid and specific detection of Listeria species in a broad range of foods and selected environmental surfaces.ObjectiveTo demonstrate reproducibility of the Thermo Scientific SureTect Listeria species PCR assay in a collaborative study using a challenging matrix, full-fat cottage cheese (25 g), to extend the scope of the method.MethodsIn the collaborative study, the candidate method was compared to the US Food and Drug Administration/Bacteriological Analytical Manual (FDA/BAM) Ch. 10 Listeria reference method. The candidate method used two PCR thermocyclers, the Applied Biosystems QuantStudio™ 5 Real-Time PCR instrument (QS5) and the Applied Biosystems 7500 Fast Real-Time PCR instrument (7500 Fast). The candidate method included its own confirmation procedure. Eighteen participants from 10 laboratories located within the United States and Europe were solicited for the collaborative study, with 12 participants submitting valid data. Statistical analysis was conducted according to the probability of detection (POD) statistical model. In addition, in order to extend the scope of the method, seven matrix studies were performed comparing the candidate method to the FDA/BAM reference method. One of these matrixes was also compared to the ISO 11290–1:2017 Microbiology of the food chain—Horizontal method for the detection and enumeration of Listeria monocytogenes and of Listeria spp.—Part 1: Detection method reference method.ResultsIn the collaborative study, the difference in laboratory results indicates equivalence between the candidate method and reference method for the matrix evaluated and the method demonstrated acceptable inter-laboratory reproducibility as determined in the collaborative evaluation. The two PCR instruments used in the study performed equivalently. All presumptive positives were confirmed via the alternative confirmation procedure. In the pre-collaborative studies, the results showed comparable performances between the candidate method and the reference method for all matrixes tested.ConclusionBased on the data generated, the method demonstrated acceptable inter-laboratory reproducibility data and statistical analysis.HighlightsDue to the COVID-19 pandemic, some participants had to be trained remotely. Additionally, 25 g full-fat cottage cheese is known to be a challenging matrix to test. No unusual cross-contamination, or false-positive/negative data was reported, highlighting the ease of use, reproducibility, and robustness of the candidate method.

Can British Association of Parenteral and Enteral Nutrition online modules support undergraduate inter-professional nutrition education?

During 2020-21 medical and nursing undergraduate courses were mainly taught online. Online learning is not new, and while this was challenging to students and educators it provided an opportunity to review existing resources and for collaborative evaluation and module development. Despite the importance of nutrition education for all health professionals1 the difficulties in increasing nutrition content within curricula is well documented2 We wanted to explore the experiences of students as they engaged with nutrition modules produced by the British Association of Parenteral and Enteral Nutrition (BAPEN)3, drawing on the student experiences of online learning over the last year as a potential learning resource to assist with implementation of the UK Undergraduate Curriculum In Nutrition for Medical Doctors.

Foreign Materials in Blood Samples of Recipients of COVID-19 Vaccines

The Korea Veritas Doctors (KoVeDocs) for COVID-19 previously found certain foreign materials and moving parasite-like entities in the Pfizer and Moderna mRNA COVID-19 vaccines as those vaccines were warmed to near room temperature (Jeon, 2022). Here we report on similar foreign materials found in samples of centrifuged blood from 8 COVID-19 vaccine recipients as contrasted with 2 individuals who did not receive any COVID-19 vaccine and who had none of the foreign materials in their blood plasma. The preponderance of evidence suggests that the foreign materials found in the COVID-19 vaccine recipients in the study reported here were injected into their bodies when they received one or more doses of the COVID-19 vaccines. Blood samples were prepared and observed under a stereomicroscope after being centrifuged at 2,200 rpm for 30 minutes. From the 8 COVID-19 vaccine recipients: 6 plasma samples contained a multilayered disc of unidentified composition; 3 samples contained beaded coil-like materials; 1 plasma sample contained a fibrous bundle of similar appearing beaded foreign material; and a different group of 3 samples had crystal-like formations of foreign material. The various shapes and sizes of foreign materials in the centrifuged plasmas of COVID-19 vaccinated individuals closely resembled the shapes and sizes of foreign materials previously observed directly in the vaccines themselves. These findings are the basis for our recommendation that (a) a collaborative worldwide evaluation of COVID-19 vaccine contents, and of the blood and plasma samples of COVID-19 vaccinated individuals, be undertaken immediately with all due diligence; (b) that there should be an immediate cessation of COVID-19 vaccinations worldwide and the abandonment of any COVID-19 “Vaccine Pass Policy” and any other form of mandate for COVID-19 vaccinations; and, (c) that emergency collaborative studies of detoxification protocols for COVID-19 vaccine sequelae be undertaken.

Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.

BackgroundThe digitization and automation of diagnostics and treatments promise to alter the quality of health care and improve patient outcomes, whereas the undersupply of medical personnel, high workload on medical professionals, and medical case complexity increase. Clinical decision support systems (CDSSs) have been proven to help medical professionals in their everyday work through their ability to process vast amounts of patient information. However, comprehensive adoption is partially disrupted by specific technological and personal characteristics. With the rise of artificial intelligence (AI), CDSSs have become an adaptive technology with human-like capabilities and are able to learn and change their characteristics over time. However, research has not reflected on the characteristics and factors essential for effective collaboration between human actors and AI-enabled CDSSs.ObjectiveOur study aims to summarize the factors influencing effective collaboration between medical professionals and AI-enabled CDSSs. These factors are essential for medical professionals, management, and technology designers to reflect on the adoption, implementation, and development of an AI-enabled CDSS.MethodsWe conducted a literature review including 3 different meta-databases, screening over 1000 articles and including 101 articles for full-text assessment. Of the 101 articles, 7 (6.9%) met our inclusion criteria and were analyzed for our synthesis.ResultsWe identified the technological characteristics and human factors that appear to have an essential effect on the collaboration of medical professionals and AI-enabled CDSSs in accordance with our research objective, namely, training data quality, performance, explainability, adaptability, medical expertise, technological expertise, personality, cognitive biases, and trust. Comparing our results with those from research on non-AI CDSSs, some characteristics and factors retain their importance, whereas others gain or lose relevance owing to the uniqueness of human-AI interactions. However, only a few (1/7, 14%) studies have mentioned the theoretical foundations and patient outcomes related to AI-enabled CDSSs.ConclusionsOur study provides a comprehensive overview of the relevant characteristics and factors that influence the interaction and collaboration between medical professionals and AI-enabled CDSSs. Rather limited theoretical foundations currently hinder the possibility of creating adequate concepts and models to explain and predict the interrelations between these characteristics and factors. For an appropriate evaluation of the human-AI collaboration, patient outcomes and the role of patients in the decision-making process should be considered.

How can we evaluate collaborative practices in inclusive schools? Challenges and proposed solutions

ABSTRACT Inclusive education is endorsed for children with disabilities or special needs attending school. In inclusive settings, support services by health care professionals are essential to support their integration and participation in school life. Collaboration between school health professionals, such as occupational therapists, and school personnel is fundamental and deemed as evidence-based practice in the provision of such support services and is considered as effective practice. However, there are differing views of what collaboration entails. An accurate measurement and evaluation of collaboration among school teams is important to adjust team processes and teamwork skills, and to best support students. In research, the study and the operationalization of the construct of collaboration among team members should also be carefully considered especially in the selected methodology. In this column, the difficulties and pitfalls with current measures of collaboration in the context of inclusive education between occupational therapists (OTs) and educators are discussed. Available measures of collaboration that may be suitable for research use in the school environment are presented. Finally, potential solutions that may be useful to assess collaborative practices and enhance clinical research in the field of school-based occupational therapy practice are proposed.

Five Years of Advanced Archaeometric Analysis at the Department of Analytical Chemistry, Faculty of Science, Palacký University in Olomouc

In modern archaeological research, a close multidisciplinary collaboration with other scientific areas is necessary, especially with natural sciences (e.g., anthropology, archaeobotany, and chemistry). This kind of collaboration and mutual evaluation of obtained results provides synergistically a series of important information in the context of prehistoric research nowadays. This systematic cooperation among archaeology, heritage science, anthropology, archaeobotany and analytical chemistry has been intensively developed for last five years at the Department of Analytical Chemistry, Faculty of Science, Palacký University in Olomouc. The aim of this short communication is to introduce our workplace and its activities with a focus on the most important outputs from various areas of the archaeometric research.

D-ART for collaboration in evaluating design alternatives

Evaluating design ideas is an integral part of designing built environments. It involves multiple stakeholders with diverse backgrounds reviewing design solutions by studying their form and performance data. Although there are computational systems for supporting evaluation tasks, they are either highly specialised for designers or configured for a particular workflow with limited functions. We developed a Design Analytics method aiming at a collaborative and data-driven evaluation of alternatives in the design-evaluate-feedback cycle. Adopting this approach, we introduce D-ART as a prototype system composed of customisable Web interfaces for presenting design alternatives, enabling stakeholders to participate in data-informed discourse on alternatives and providing feedback to the design team. Its system design considers requirements gathered through literature review, critical analysis of the existing systems and collaboration with our industry partners. Finally, we assessed D-ART’s design through an expert review evaluation, which generally reported positive results on the system’s goals.

The Limited Value of Prior Change in Predicting Future Progression of Juvenile-onset Myopia.

Identifying children at highest risk for rapid myopia progression and/or rapid axial elongation could help prioritize who should receive clinical treatment or be enrolled in randomized clinical trials. Our models suggest that these goals are difficult to accomplish. This study aimed to develop models predicting future refractive error and axial length using children's baseline data and history of myopia progression and axial elongation. Models predicting refractive error and axial length were created using randomly assigned training and test data sets from 916 myopic participants in the Collaborative Longitudinal Evaluation of Ethnicity and Refractive Error Study. Subjects were 7 to 14 years of age at study entry with three consecutive annual visits that included cycloplegic A-scan ultrasound and autorefraction. The effect of adding prior change in axial length and refractive error was evaluated for each model. Age, ethnicity, and greater myopia were significant predictors of future refractive error and axial length, whereas prior progression or elongation, near work, time outdoors, and parental myopia were not. The 95% limits for the difference between actual and predicted change were ±0.22 D and ±0.14 mm without prior change data compared with ±0.26 D and ±0.16 mm with prior change data. Sensitivity and specificity for identifying fast progressors were between 60.8 and 63.2%, respectively, when the cut points were close to the sample average. Positive predictive value and sample yield were even lower when the cut points were more extreme. Young, more myopic Asian American children in the Collaborative Longitudinal Evaluation of Ethnicity and Refractive Error Study were the most likely to progress rapidly. Clinical trials should expect average progression rates that reflect sample demographics and may have difficulty recruiting generalizable samples that progress faster than that average. Knowing progression or elongation history does not seem to help the clinical decision regarding initiating myopia control.

Collaborative Software Engineering Model Dependent on Deep Recursive Least Squares

With the continuous development and maturity of information technology, the open methods and development results of software are enriched constantly. There are uncertain factors that may affect the cost of software development. The control of demand, the determination of the logical framework, and the vagueness and inaccuracy of business logic can all affect the development cycle of software. In this paper, the bit error rate and complexity are calculated by using the related algorithm based on the deep recursive least squares algorithm through the establishment of a collaborative engineering tool evaluation system. Under the same preconditions, the estimation performance of the deep recursive least squares algorithm is compared with that of the ideal channel based on the same foundation, and the deep recursive least squares algorithm is simulated through the simulation curve. In addition, the performance of the algorithm is analyzed. The evaluation criteria of four indexes for perception, synchronization, product, and coordination were put forward. The results of the study indicate that the proposed algorithm is effective and can support the engineering modeling of collaborative software.

Evaluation of the Thermo ScientificTM SureTectTMListeria monocytogenes PCR Assay in a Broad Range of Foods and Selected Environmental Surfaces: Pre-Collaborative and Collaborative Study, First Action 2021.05.

BackgroundThe Thermo Scientific™ SureTect™ Listeria monocytogenes PCR Assay uses Solaris reagents for performing PCR for the rapid and specific detection of Listeria monocytogenes in a broad range of foods and selected environmental surfaces.ObjectiveTo demonstrate reproducibility of the SureTect Listeria monocytogenes PCR Assay in a collaborative study using a challenging matrix, full-fat cottage cheese (25 g). To extend the scope of the method.MethodIn the collaborative study, the candidate method was compared to the United States Food and Drug Administration/Bacteriological Analytical Manual (FDA/BAM) Chapter 10 Listeria reference method. The candidate method used two PCR thermocyclers, the Applied Biosystems™ QuantStudio™ 5 Real-Time PCR instrument (QS5) and the Applied Biosystems 7500 Fast Real-Time PCR instrument (7500 Fast). Eighteen participants from 10 laboratories located within the United States and Europe were solicited for the collaborative study, with 12 participants submitting valid data. Three levels of contamination were evaluated for each matrix. Statistical analysis was conducted according to the probability of detection (POD) statistical model. In addition, to extend the scope, six matrix studies were performed comparing the candidate method to the FDA/BAM reference method. One of these matrixes was also compared to the ISO 11290–1:2017 Microbiology of the Food Chain—Horizontal Method for the Detection and Enumeration of Listeria monocytogenes and of Listeria spp.—Part 1: Detection Method Reference Method.ResultsIn the collaborative study, the difference in laboratory results indicates equivalence between the candidate method and reference method for the matrix evaluated, and the method demonstrated acceptable inter-laboratory reproducibility as determined in the collaborative evaluation. The two PCR instruments used in the study performed equivalently. All presumptive positives were confirmed via the alternative confirmation procedure. In the pre-collaborative studies, the results showed comparable performances between the candidate method and the reference method for all matrixes tested.ConclusionsBased on the data generated, the method demonstrated acceptable inter-laboratory reproducibility data and statistical analysis.HighlightsDue to the COVID-19 pandemic, some participants had to be trained remotely. Additionally, 25 g full-fat cottage cheese is known to be a challenging matrix to test. No unusual cross-contamination or false positive/negative data were reported, highlighting the ease of use, reproducibility, and robustness of the method.