Effective Communication Research Articles

Dubify: Multilingual Video Translation Platform

In an increasingly globalized society, effective cross-linguistic communication is essential. This brief presents a new approach. Dubify is a feature-rich application created to facilitate smooth translation of video information between languages. Dubify uses advanced machine learning algorithms to provide real-time translation services, ensuring that video content is understandable and accessible to viewers around the world. Strong speech recognition, accurate translation, and natural language generation are some of Dubify's main strengths. Thanks to the platform's extensive language support, users can easily translate video content into multiple languages. In addition, Dubify offers customization tools that allow users to adjust translations to suit their particular taste and dialect. Dubify's easy-to-use interface and advanced translation skills make it a flexible choice for individuals, businesses, and organizations looking to translate

Turn Your Vision into Reality-AI-Powered Pre-operative Outcome Simulation in Rhinoplasty Surgery.

The increasing demand and changing trends in rhinoplasty surgery emphasize the need for effective doctor-patient communication, for which Artificial Intelligence (AI) could be a valuable tool in managing patient expectations during pre-operative consultations. To develop an AI-based model to simulate realistic postoperative rhinoplasty outcomes. We trained a Generative Adversarial Network (GAN) using 3,030 rhinoplasty patients' pre- and postoperative images. One-hundred-one study participants were presented with 30 pre-rhinoplasty patient photographs followed by an image set consisting of the real postoperative versus the GAN-generated image and asked to identify the GAN-generated image. The study sample (48 males, 53 females, mean age of 31.6±9.0years) correctly identified the GAN-generated images with an accuracy of 52.5±14.3%. Male study participants were more likely to identify the AI-generated images compared with female study participants (55.4% versus 49.6%; p = 0.042). We presented a GAN-based simulator for rhinoplasty outcomes which used pre-operative patient images to predict accurate representations that were not perceived as different from real postoperative outcomes. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Investigation of consumer behavior in social media in the handball

Social media exploded onto the scene roughly two decades ago, revolutionising the way we think about marketing communication and the way we think about information delivery. It has opened doors that were unprecedented. It can also be profitable for sports companies if they can deliver effective marketing communications to their existing and potential customers. To be effective in this environment, it is important to analyse consumer behaviour to identify the real needs of users and to meet those needs. We used an online questionnaire to assess the consumer needs of our respondents and the social media market from a marketing perspective. We conducted a handball specific research, excluding individuals who do not follow handball at any level from the study sample. We also looked at age differences, and device usage. Given our results, it can be stated that thorough market research is important for effective marketing communication by a handball club on different social media platforms.

Revealing the mechanism and function underlying pairwise temporal coupling in collective motion

Coordinated motion in animal groups has predominantly been studied with a focus on spatial interactions, such as how individuals position and orient themselves relative to one another. Temporal aspects have, by contrast, received much less attention. Here, by studying pairwise interactions in juvenile zebrafish (Danio rerio)—including using immersive volumetric virtual reality (VR) with which we can directly test models of social interactions in situ—we reveal that there exists a rhythmic out-of-phase (i.e., an alternating) temporal coordination dynamic. We find that reciprocal (bi-directional) feedback is both necessary and sufficient to explain this emergent coupling. Beyond a mechanistic understanding, we find, both from VR experiments and analysis of freely swimming pairs, that temporal coordination considerably improves spatial responsiveness, such as to changes in the direction of motion of a partner. Our findings highlight the synergistic role of spatial and temporal coupling in facilitating effective communication between individuals on the move.

Marketing, communication, banking, and Fintech: personalization in Fintech marketing, enhancing customer communication for financial inclusion

This paper explores the intersection of marketing, communication, banking, and fintech, with a focus on personalization in fintech marketing and enhancing customer communication for financial inclusion. Financial technology (fintech) has revolutionized the way financial services are delivered, offering innovative solutions that cater to diverse customer needs. One key aspect of this transformation is the emphasis on personalized marketing strategies, which enable fintech companies to engage with customers on a more individualized level, driving customer satisfaction and loyalty. Personalization in fintech marketing involves tailoring products, services, and communications to meet the specific needs and preferences of customers. This approach not only enhances the customer experience but also increases the likelihood of customer retention and acquisition. Fintech companies leverage customer data and advanced analytics to segment their audience and deliver targeted messages and offers, effectively addressing customer pain points and driving engagement. Moreover, effective customer communication is essential for promoting financial inclusion, particularly among underserved populations. Fintech companies can use various communication channels, such as mobile apps, social media, and chatbots, to reach customers who may have limited access to traditional banking services. By delivering relevant and timely information, fintech companies can empower customers to make informed financial decisions and improve their overall financial well-being. The paper also discusses the role of banking and fintech partnerships in driving financial inclusion. By collaborating with traditional banks, fintech companies can leverage existing infrastructure and customer networks to reach underserved communities. These partnerships enable fintech companies to offer innovative financial products and services to a broader audience, contributing to greater financial inclusion and economic empowerment. In conclusion, personalization in fintech marketing and effective customer communication are key drivers of financial inclusion. By adopting these strategies, fintech companies can better engage with customers, tailor their offerings to meet specific needs, and ultimately, contribute to a more inclusive financial system. Keywords: Fintech Marketing, Customer Communication, Financial Inclusion, Personalization, Banking.

Facilitating Utilization of Evidence-Informed Management by Nurse Managers in Healthcare Facilities: An Integrative Literature Review

Background and Objectives. The scarce empirical and scientific information concerning evidence-informed management reports various benefits for nurse managers, including reduced staff turnover, enhanced working environments, and improved patient outcomes and policy implementation. This review summarizes best available evidence on facilitating utilization of evidence-informed management practices by nurse managers in healthcare facilities. The review could assist in a comprehensive overview of determinants that could assist nurse managers’ successful utilization of evidence-informed management. Methods. An integrative review of the literature was conducted, including peer-reviewed articles published between 2010 and 2022. The databases used were BioMed Central, CINAHL Complete, MEDLINE Complete, PubMed (via EBSCOhost), the Complimentary Index (Taylor and Francis, Elsevier, Wiley, and Springer), Sabinet, ScienceDirect, and Scopus, followed by a manual search using Google Scholar and a citation search. Johns Hopkins Nursing Evidence-based Practice Research and non-Research evidence tools were used for appraisal. Thematic analysis was used to synthesize the extracted data. Results. Based on thirteen determinants influencing nurse managers’ utilization of evidence-informed management practices, three themes were identified from a total of thirteen relevant studies: (1) Nurse manager determinants in utilization of evidence-informed management (Microlevel); (2) Organizational determinants in utilization of evidence-informed management (Mesolevel); (3) External stakeholders and context determinants of utilization of evidence-informed management practices (Macrolevel). Conclusion. The themes were found to be interconnected and interdependent, facilitating the effective utilization of evidence-informed management by nurse managers at micro-, meso-, and macrolevels, but highlight the need for strengthening health systems and support. Future studies are required to provide a more comprehensive understanding of the determinants influencing nurse managers’ utilization of evidence-informed management practices. Implications for Nursing Management. For nurse managers to optimally utilize evidence-informed management, executive management and policymakers require to provide resources and support such as continuous education, incentives, effective communication, funding structures, and ownership.

Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics.

In the dynamic domain of logistics, effective communication is essential for streamlined operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the intricate task of extracting multi-labeled data, employing advanced techniques for accurate preprocessing of textual data through the NLTK toolkit. This approach is carefully tailored to the prevailing language used in logistics communication. MLEn utilizes innovative methods, including sentiment intensity analysis, Word2Vec, and Doc2Vec, ensuring comprehensive feature extraction. This proves particularly suitable for logistics in e-commerce, capturing nuanced communication essential for efficient operations. Ethical considerations are a cornerstone in logistics communication, and MLEn plays a pivotal role in detecting and categorizing inappropriate language, aligning inherently with ethical norms. Leveraging Tf-IDF and Vader for feature enhancement, MLEn adeptly discerns and labels ethically sensitive content in logistics communication. Across diverse datasets, including Emotions, MLEn consistently achieves impressive accuracy levels ranging from 92% to 97%, establishing its superiority in the logistics context. Particularly, our proposed method, DenseNet-EHO, outperforms BERT by 8% and surpasses other techniques by a 15-25% efficiency. A comprehensive analysis, considering metrics such as precision, recall, F1-score, Ranking Loss, Jaccard Similarity, AUC-ROC, sensitivity, and time complexity, underscores DenseNet-EHO's efficiency, aligning with the practical demands within the logistics track. Our research significantly contributes to enhancing precision, diversity, and computational efficiency in aspect-based sentiment analysis within logistics. By integrating cutting-edge preprocessing, sentiment intensity analysis, and vectorization, MLEn emerges as a robust framework for multi-label datasets, consistently outperforming conventional approaches and giving outstanding precision, accuracy, and efficiency in the logistics field.

The laboratory investigation, management, and infection prevention and control of Candida auris: a narrative review to inform the 2024 national guidance update in England.

The emergent fungal pathogen Candida auris is increasingly recognised as an important cause of healthcare-associated infections globally. It is highly transmissible, adaptable, and persistent, resulting in an organism with significant outbreak potential that risks devastating consequences. Progress in the ability to identify C. auris in clinical specimens is encouraging, but laboratory diagnostic capacity and surveillance systems are lacking in many countries. Intrinsic resistance to commonly used antifungals, combined with the ability to rapidly acquire resistance to therapy, substantially restricts treatment options and novel agents are desperately needed. Despite this, outbreaks can be interrupted, and mortality avoided or minimised, through the application of rigorous infection prevention and control measures with an increasing evidence base. This review provides an update on epidemiology, the impact of the COVID-19 pandemic, risk factors, identification and typing, resistance profiles, treatment, detection of colonisation, and infection prevention and control measures for C. auris. This review has informed a planned 2024 update to the United Kingdom Health Security Agency (UKHSA) guidance on the laboratory investigation, management, and infection prevention and control of Candida auris. A multidisciplinary response is needed to control C. auris transmission in a healthcare setting and should emphasise outbreak preparedness and response, rapid contact tracing and isolation or cohorting of patients and staff, strict hand hygiene and other infection prevention and control measures, dedicated or single-use equipment, appropriate disinfection, and effective communication concerning patient transfers and discharge.

User-Generated Content in Tourism: Could it impact Brand Equity and Intention to Visit?

The Internet has changed communication and created significant challenges for the tourism and hospitality sectors. Due to the abundance of tourist destinations available, competition is fierce. Therefore, destinations must devise strategies to set themselves apart and strengthen customer brand equity by providing informative and engaging content on digital platforms, specifically social media, with millions of users. Web 2.0 allows users to generate and distribute information through user-generated content and e-word-of-mouth as trustworthy sources for tourist information that can significantly influence travellers' decision-making process. Therefore, businesses must share pertinent information and incentivize online customer feedback on social media platforms where ideas and opinions are highly valued. These can influence a potential tourist's decision to visit, which makes them critical to destination promotion. Effective communication is essential in shaping consumer opinion and fostering strong customer relationships. This study analyses whether user-generated content impacts brand equity and visitation intentions. It utilized a quantitative approach, using a survey to collect data from tourists and potential tourists of Portugal's Central Region. The sample size consisted of 515 participants. The collected data was then analyzed statistically with the assistance of Smart PLS 3.3.2 software. Based on the results, it was found that user-generated content has an impact on destination awareness, perceived quality, and intention to visit.

The cognitive roots of multimodal symbolic forms with an analysis of multimodality in movies

Condillac’s (1754) “Traité des sensations” is the philosophical background of modern discussions on the relationship between perception and multimodal communication. The differences between perception and communication and the transitions between them are discussed with a focus on odor and color. It becomes clear that even at this primary level, the complex interactions of different modalities are the precondition for effective and rich communication. The second part discusses Cassirer’s “Philosophy of Symbolic Forms” as a relevant framework for multimodality studies. Basic aspects are first commented on with a focus on music and visual art. The interaction is even more complex and rich in the case of language; the difficulty of large symbolic forms is mainly due to semantic composition and only to a lesser degree to syntactic concatenation. The first must merge/blend different semantic spaces. It must allow for the plurality of levels of integration from the lexical level, the level of phrases and sentences, up to texts and discourse. The third part focuses on multimodality in film. It treats the representation of movement and action in (film) narratives, the visual perception and representation/communication of movement and action, and the integration of music, moving images, and language.

Working To-Get-There: Student and teacher relationship towards a meaningful teaching and learning Experience

The enhancement of a meaningful learning experience becomes more pronounced when positive relationships exist between teachers and students. Student-teacher relationships (STR) are intricately tied to the everyday scenarios prevalent in the current generation. They exert significant effects on student engagement, encompass common challenges that may impede the establishment of positive rapport, and are perceived to influence the actualization of a meaningful teaching and learning experience. Employing a convergent mixed-method approach, the study utilized an expert-validated interview protocol and survey questionnaire. Audio-taped semi-structured interviews and surveys among purposively selected (n=16) and randomly picked (n=250) Grade 10 students and teacher-participants computed through the Raosoft sample size calculator in Southville 5A Integrated National High School were performed. Based on the descriptive statistical tools and thematic analysis with themes validation through focus group discussion, the most common STR situations relate to collaborative, encouraging, and respectful affairs among students and teachers. The most common effects of STR on students’ engagement are linked to active participation, increased interest to learn, and improved self-confidence. Meanwhile, factors that hinder positive STR correlate with ineffective communication, poor classroom environment, and high teacher expectations. Further, positive STR impacts authentic learning, the realization of equity and equality, and the idea of learning from setbacks. To-Get-There and successfully achieve meaningful teaching-and-learning experiences, the study recommends ways to foster positive STR, addressing challenges, establishing effective communication including expectations, consistent provision of equal and equity opportunities, and the nurture of values among students and teachers such as empathy, respect, self-growth, and reflective thinking. Keywords: Convergent-parallel mixed research approach, Meaningful teaching-and-learning experiences, Student-teacher relationships, Binan City, Laguna, Philippine

A Neutrosophic Approach to Study Agnotology: A Case Study on Climate Change Beliefs

Misinformation and biased information significantly impact public perception and political decisions, especially on critical issues such as climate change and environmental conservation. This study aims to understand how indeterminacy and contradiction influence public perception and policy formulation by applying neutrosophic theory to model the complexity and multi-dimensionality of ignorance. Using neutrosophic Likert scales, we capture a nuanced spectrum of opinions on the scientific certainty of human impact on climate change. The results are analyzed through a k-means clustering algorithm to identify patterns and segment participants into groups based on their levels of truth, indeterminacy, and falsehood. This approach reveals deeper insights into public perceptions and aids in evaluating their implications for effective communication and policy-making.

Strategic Management Practices and Employee Performance in Non-Governmental Organizations in Nairobi City County, Kenya

The growth and development of an organization are contingent upon the effective management of its human resources. However, the adoption of effective human resource management practices in many local non-governmental organizations (NGOs) NGOs operating in the development sector have received insufficient attention. This research aims to explore the impact of strategic management practices on employee performance within non-governmental organizations located in Nairobi City County, Kenya. The specific objectives of this study are to assess the influence of communication, objective setting, strategic leadership, and training on employee performance in non-governmental organizations operating in Nairobi City County, Kenya. The study was guided by expectancy theory, goal setting theory, contingency theory, and human capital theory. A descriptive research design was employed. The population was five prominent NGOs in Nairobi City County, namely Oxfam International, World Vision, USAID, Mercy Corps, and Amnesty International. The study targeted 742 respondents. Stratified sampling method was used and selection of respondents done using simple random sampling method. The sample size was 260 respondents. Data was collected using questionnaires. Questionnaires were piloted to 26 respondents. Validity was ensured using content validity. In addition, Cronbach's alpha test was used to test reliability. Quantitative data was analyzed using descriptive statistical and inferential statistics. The results were presented using tables and figures. The study found that communication, objective setting, strategic leadership and training had a positive significant influence on employee performance in non-governmental organizations in Nairobi City County, Kenya. The study concludes that communication in the workplace is important because it boosts employee morale, engagement, productivity, and satisfaction. Training is important because it represents a good opportunity for employees to grow their knowledge base and improve their job skills to become more effective in the workplace. The study recommends that non-governmental organizations in Nairobi City County, Kenya should focus on the implementation of effective communication channels and tools by including the use of technology such as intranet platforms, project management software, and instant messaging systems. The non-governmental organizations in Nairobi City County, Kenya should ensure that goals are clearly defined, quantifiable, realistic, aligned with the overall objectives of the organization, and have a specific deadline for completion. The non-governmental organizations in Nairobi City County, Kenya should focus on building the skills and capabilities of current and future leaders through training in areas such as communication, decision-making, and conflict resolution, as well as opportunities for leaders to receive feedback and coaching on their performance. Create a culture of transparency and open communication within the organization.

Peer evaluation as an alternative assessment method for case presentations: A cross-sectional study of dental students' perception.

Peer assessment in dental and medical education is a key tool for evaluating attitudes and communication skills, serving as an effective formative learning method. It not only boosts academic performance and encourages lifelong learning and reflective practice but also fosters collaboration, effective communication, and constructive feedback among peers. This study aimed to assess dental students' satisfaction and perceptions regarding implementing peer assessment in case presentations, including contribution to their learning. This cross-sectional study involved third (n=26), fourth (n=54), and sixth (n=71) dental students divided into five groups. Each student received peer assessments (n=8) from the students of the other groups regarding their clinical presentation. At the end of the process, students were invited to complete an anonymous 9-item questionnaire to assess student perceptions of the peer-assessment process. Data were analyzed to evaluate students' perception and satisfaction with the peer assessment task. The bivariate analysis explored associations among questionnaire items. A total of 151 students participated in the current study. Results showed a high level of agreement for most of the students regarding their preparedness for peer and self-assessment. More than 75% of the students at all academic levels found it challenging to evaluate their peers. Student satisfaction scores increased with the level of education, (4.076, 4.214, and 4.246 out of five, respectively) with moderate correlations between peer evaluation characteristics. Peer assessment appears to enhance learning and professional development in dental students. Students' satisfaction with peer assessment grows with education level, reflecting its role in fostering critical evaluation skills and feedback.

The relative contribution of acoustic signals versus movement cues in group coordination and collective decision-making.

To benefit from group living, individuals need to maintain cohesion and coordinate their activities. Effective communication thus becomes critical, facilitating rapid coordination of behaviours and reducing consensus costs when group members have differing needs and information. In many bird and mammal species, collective decisions rely on acoustic signals in some contexts but on movement cues in others. Yet, to date, there is no clear conceptual framework that predicts when decisions should evolve to be based on acoustic signals versus movement cues. Here, we first review how acoustic signals and movement cues are used for coordinating activities. We then outline how information masking, discrimination ability (Weber's Law) and encoding limitations, as well as trade-offs between these, can identify which types of collective behaviours likely rely on acoustic signals or movement cues. Specifically, our framework proposes that behaviours involving the timing of events or expression of specific actions should rely more on acoustic signals, whereas decisions involving complex choices with multiple options (e.g. direction and destination) should generally use movement cues because sounds are more vulnerable to information masking and Weber's Law effects. We then discuss potential future avenues of enquiry, including multimodal communication and collective decision-making by mixed-species animal groups. This article is part of the theme issue 'The power of sound: unravelling how acoustic communication shapes group dynamic'.

Bluff retreat in North Carolina: harnessing resident and land use professional surveys alongside LiDAR remote sensing and GIS analysis for coastal management insights

Bluff landforms, sought-after for housing and development, present a hazard management challenge due to erosional processes despite the perceived safety of elevated land. This study focuses on the Neuse River Estuary in North Carolina, exploring coastal risk perception and erosion. A survey protocol was developed, and questionnaires targeted 246 residents with property within 100 m of the shoreline and 54 land use professionals in Craven County. To explore the connection of individual experiences with erosion, we use openly accessible LiDAR to quantify bluff retreat and erosion between 2014 and 2020, a period that encompasses Hurricane Florence in 2018. Our findings show: 1) survey results reveal a consensus among residents, with 90% observing alterations attributed to storm impacts, 2) preferences for addressing erosion lean towards structural measures, aligning with existing protection strategies (e.g., bulkheads, rip-rap) as opposed to nature-based solutions, 3) bluff tops are eroding at a higher median rate of -0.59 m per year, compared to -0.19 m per year for high sediment banks, and 4) an overall net volume decrease of approximately -1.89 cubic meters per year for Craven County, slightly more than the overall net loss for the Neuse River Estuary, which was -1.74 cubic meters per year. The findings underscore the need for a cohesive bluff erosion management plan, emphasizing the complexity of challenges and the importance of a holistic approach that combines technical studies with effective risk communication.

40 Years of Eye Typing: Challenges, Gaps, and Emergent Strategies

Gaze interaction enables users to communicate through eye tracking, and is often the only channel of effective and efficient communication for individuals with severe motor disabilities. While there has been significant research and development of eye typing systems, in the context of augmentative and alternative communication (AAC), there is no comprehensive review that integrates the key findings from the variety of aspects that constitute the complex landscape of gaze communication. This paper presents a detailed review and characterization of the literature and aims to consolidate the disparate efforts to provide eye typing solutions for AAC users. We provide a systematic understanding of the components and functionalities that underpin eye typing solutions, and analyze the interplay of the different facets and their role in shaping the user-experience, accessibility, performance, and overall effectiveness of eye typing technology. We also identify the major challenges and highlight several areas that require further research attention.

Image data visualization and communication system based on sensor network simulation and visual feature extraction

In the context of today's information explosion, how to extract useful information from a large amount of image data and convey it to users is a challenging problem. Therefore, this study aims to achieve effective communication of image data by constructing a sensor network simulation and utilizing visual feature extraction methods. The study constructed a sensor network simulation to simulate the working principle of a biosensor system, thereby achieving perception and understanding of image data, and automatically obtaining and processing information from input images. Research on the use of visual feature extraction methods to extract features that describe the content and structure of images, and apply them to the results obtained from sensor network simulation to accurately capture important information in image data. The research aims to convey the extracted feature information to users through visual means, and present the extracted feature information to users in an intuitive graphical form, in order to gain a more intuitive understanding of the meaning and features of image data, improve the ability to understand data and analyze results. By constructing a sensor network to simulate the perception process of image data and using visual feature extraction methods to extract key feature information, this article can effectively convey this information to users through visualization methods. This method provides a new solution for the field of image data visualization communication, which helps to improve the efficiency and accuracy of data communication.

Enhancing citizen science impact in environmental monitoring: Targeted engagement strategies with stakeholder groups

Understanding the motivations and benefits of citizen science (CS) participants is critical to the success of environmental science projects that rely on data collection from engaged citizens. Tailored communication with citizen scientists is essential, leading to the need to target specific societal groups for extensive and high-quality data sets. The purpose of the study was to apply marketing concepts such as stakeholder analysis, value proposition canvas (VPC), and key performance indicators (KPIs) to CS projects. The study examined the extent to which these strategies can be applied to CS projects and add value, resulting in improved recruitment and retention of participants, as well as improved project management. The dynamic landscape of CS projects requires adapted business-oriented approaches supporting ongoing participation with high motivation, acknowledging community needs, and recognizing institutional scientists, akin to targeting potential customers. The case study focuses on the CityCLIM initiative, an EU-funded project collecting urban climate data, especially air temperature, using mobile weather stations. The CityCLIM VPC, analyzing stakeholder groups, facilitated tailored communication strategies by analyzing stakeholder groups and highlighting the effectiveness of the CS cycling initiative within the “Stadtradeln” program. Impact KPIs served as a roadmap for strategic refinement, while data quality KPIs identified deficiencies, guiding adjustments to the campaign. Applied marketing tools improved project planning, engagement, and evaluation, demonstrating the potential of this concept. Adapting marketing tools to recruitment and communication strategies benefits CS projects by targeting specific groups. The holistic integration of stakeholder analysis, VPC, and KPIs streamlines project management and creates a framework for sustainable success. This adaptation forms a robust toolkit for CS project coordinators, contributing to effective communication, engagement, and impact assessment. Applying marketing tools significantly increases CS projects’ reach and impact, ensuring long-term success and meaningful scientific contributions.

Barriers and facilitators in the implementation of youth and young adult models of mental health care.

It is increasingly recognised that traditional models of mental health (MH) care, with a service transition at age 18 years, may not reflect best practice. The literature supports a move towards youth and young adult focused models of MH care, for young people up to the age of 25, which specifically cater to the unique psychosocial and developmental needs of this population. This service evaluation aimed to explore the facilitators and barriers to the implementation of youth models of MH care across England (UK). Six services participated in separate focus groups pertaining to their experience of implementing youth models of MH care. The interview guide for the focus groups was informed by the Consolidated Framework for Implementation Research (CFIR) and explored barriers and facilitators to implementation and sustainment. The focus groups were recorded, transcribed verbatim and analysed thematically. Seven key themes relevant to the implementation of youth models of MH care were identified: a clear rationale for doing things differently, for young people by young people, "building those relationships is key", service identity development, resource and infrastructure, leadership at multiple levels, and valuing and developing staff. The findings suggest effective communication and leadership, co-production and cross system collaboration contribute to successful implementation of youth models of MH care. The findings will be of interest to those involved in informing and supporting successful implementation and delivery of youth models of mental health care at local and national levels.