Benefits Of Collaboration Research Articles

Кластерне управління проєктами: підходи, виклики та перспективи

The article examines cluster project management as a modern innovative approach to organizing and coordinating projects. It establishes that cluster management is based on the consolidation of interrelated projects into clusters for the joint use of resources, enhancing the efficiency of innovative potential utilization, and stimulating innovation. Cluster management allows for resource optimization, improved communication, the development of synergy between projects, and decision-making flexibility. The article analyzes the main types of clusters, including geographical, sectoral, vertical, and horizontal, and their impact on the success of project management and the productivity of individual projects. It also discusses the key advantages of cluster management, including resource optimization, improved coordination among participants, increased overall productivity, and flexibility. The study reveals that the cluster approach helps reduce costs, avoid duplication of efforts, promotes rapid market response, and allows organizations to effectively adapt to market challenges. In addition to the advantages, the article highlights the challenges organizations face when applying the cluster approach. These include the need to adapt to external changes, competition among cluster participants, and intellectual property protection, which can pose a threat to innovation. A new approach to cluster project management is proposed, which integrates vertical and horizontal clusters with modern digital technologies, such as monitoring and management tools. This approach enhances the effectiveness, resilience, and innovativeness of projects in the context of globalization and digitalization. The article also explores successful examples of clusters, such as the Silicon Valley technology cluster and the California wine cluster, which illustrate the benefits of collaboration within a cluster system. The article emphasizes the importance of flexibility and continuous updating of management methodologies to ensure the success of clusters in today's competitive environment.

Grab the Mic: Connecting theory and practice within an undergraduate sport communication course

Experiential learning within sport management classrooms provides valuable industry experience to complement theoretical knowledge. Content creation is a valuable skill for sport management students, particularly those who are looking to work within media and marketing spaces after graduation. Therefore, sport communication undergraduate students at a large research-intensive institution in the Midwest of the United States participated in a podcast creation project for their sport communication class. The experiential learning opportunity provided students with the opportunity to collaborate with a classmate to write, record, and edit a podcast episode under the umbrella of the department's podcast show. This gave the students valuable experience in creating content for professional consumption. The project received positive feedback from students on skill development and the benefits of collaboration, while also discussing the challenges associated with the time demands of the project.

Collaborative supply chain network design under demand uncertainty: A robust optimization approach

This paper studies a collaborative robust supply chain network design (CRSCND) problem aimed at maximizing economic and social benefits by enabling enterprises to jointly address demand uncertainties. Through strategies including joint inventory replenishment, shared distribution centers (DCs), and pooled transportation resources, the CRSCND problem seeks to optimize plant and DC locations and the allocation of DCs to customers under a collaborative framework. To address this, we develop two robust optimization models incorporating a budget uncertainty set, each model representing a distinct risk-pooling policy. These models are then reformulated into solvable linear programming structures. Results from numerical experiments confirm the cost-reduction benefits of collaboration and robust optimization. Sensitivity analysis reveals that factors like violated probability and high demand volatility minimally impact cost savings enabled by collaboration and robustness. Moreover, each robust model shows distinct suitability depending on specific scenario parameters. Finally, we test three cost-saving allocation mechanisms, finding that only the Shapley value method yields best allocations in cases involving overlapping demand.

Surgeon Review of 4D CT for Identification of Parathyroid Adenomas.

Preoperative localization of parathyroid adenomas aids surgical planning for patients with hyperparathyroidism. This study explores the diagnostic accuracy of surgeon-reviewed 4D computed tomography (4D CT) scans for localization of parathyroid adenomas. A retrospective review of 95 patients with hyperparathyroidism who underwent parathyroidectomy at a tertiary care center was performed. The sensitivity, specificity, positive and negative predictive values, accuracy of identifying abnormal glands by surgeon, and interrater reliability between two head and neck surgeons was assessed. The sensitivity of surgeon localization of all glands was 71% (95% CI, 63%-78%), improving to 76% when combined with radiology reads. The specificity was 98% (95% CI, 95%-99%), the positive predictive value was 95% (95% CI, 90%-99%), and the negative predictive value was 84% (95% CI, 79%-88%) for all abnormal glands. Interrater reliability between surgeons was κ = 0.771. The diagnostic accuracy of surgeon localization of abnormal glands on the 4D CT scan was substantial. Improvement with radiology report integration highlights the benefits of multidisciplinary collaboration. Interrater reliability between two fellowship-trained surgeons was moderate. These findings support the importance of surgeons developing proficiency in reading 4D CT scans to engage in interdisciplinary communication and improve patient outcomes.

7.G. Round table: Primary prevention and management of NCDs – the added value of joint actions across Europe

Abstract Two ambitious European joint action projects, funded through the EU4Health programme, are ongoing to reduce the burden of non-communicable diseases (NCDs) and related risk factors in Europe, targeting both individual and societal levels. Together, these projects aim to scale up effective prevention and management strategies, strengthen public health policies and promote equitable and sustainable healthcare systems across Europe. The Joint Action on CARdiovascular Diseases and DIabetes (JACARDI), with 21 participating countries and a total budget of over €66 million, is focusing on enhancing the implementation of evidence-based innovative pilot projects across the entire patient journey. This includes efforts to improve prevention, early diagnosis, and proactive management of NCDs. The Joint Action Prevent Non-Communicable Diseases (JA PreventNCD), with 25 participating countries and a total budget of over €95 million, particularly aims to enhance joint capacities of countries for implementing, scaling up and evaluating prevention policies and actions at various levels. These projects represent complementary responses to calls for action in Europe’s Beating Cancer Plan and the Healthier Together - EU NCD Initiative, with JA PreventNCD emphasizing primary prevention and policy while JACARDI focuses on secondary prevention and health systems strengthening. Both projects will generate new policy-relevant evidence based on implementation, monitoring and scaling-up of best and innovative practices and policies across Europe. The projects share a focus on equity, diversity, scalability and sustainability, while avoiding fragmentation and duplication of actions. Under the EU4Health programme, launched to strengthen European health collaboration in the wake of the COVID-19 pandemic, the EU has recently invested over €200 million in public health initiatives, with additional investments from national authorities participating in the joint actions. With this new wave of funding, real population impact should be anticipated, but what can we realistically expect to be the outcomes and what are the criteria for success? In this round table discussion 1) these two joint action projects will be presented, highlighting their innovative aspects; 2) views on the added value and potential in cross-national collaborations for prevention and management of NCDs will be debated, and 3) how synergies will be leveraged for maximum impact will be explored. Panelists will share their perspectives on the projects’ potential to change the public health landscape in Europe. Workshop participants will subsequently be encouraged to engage in the discussion with the objective that views and experiences are exchanged, opportunities for collaboration and engagement are shared and energy is mobilized to harness the benefits of such large-scale policy-relevant collaborations. Key messages • Synergies and collaboration to drive policy development and foster increased capacity are the pillars to build a healthier Europe. • Two large-scale Joint Actions drive impact by highlighting innovative NCD prevention strategies and fostering collaborative engagement.

Advancing open education through open-source software: examining UTAUT 2 factors in adoption and implementation

PurposeThis study aims to examine the factors influencing university students' adoption of open-source software (OSS) within the context of open educational practices (OEP) by applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT 2) model.Design/methodology/approachThe research employs a quantitative approach, gathering data from 156 students at Hong Kong Metropolitan University through an online survey. The survey was designed to test nine hypotheses derived from the UTAUT 2 model, incorporating additional constructs relevant to OSS. Structural equation modelling (SEM) was used to analyse the data and test the relationships between constructs.FindingsThe results indicate that Performance Expectancy (PE), Effort Expectancy (EE), Price Value (PV), Self-Efficacy (SE) and Value Alignment (VA) significantly influence students' Behavioral Intention (BI) to adopt OSS. Conversely, Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM) and Habit (HT) were not significant predictors. The findings suggest that while UTAUT 2 provides a useful framework for understanding OSS adoption, it requires adaptation to fully capture the unique characteristics of OSS in educational settings.Originality/valueThis study contributes to the literature by extending the UTAUT 2 model to the context of OSS adoption in higher education, highlighting the importance of economic factors and user alignment with OSS values. The results offer practical insights for higher education institutions aiming to promote OSS, emphasizing the need for support structures, training, and the promotion of OSS’s economic and collaborative benefits.

Promising results of HIV prevention trials highlight the benefits of collaboration in global health: The perspective of the Forum HIV Recency Assay Working Group

Promising results of HIV prevention trials highlight the benefits of collaboration in global health: The perspective of the Forum HIV Recency Assay Working Group

The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review.

Carbapenem resistance poses a significant threat to public health by undermining the efficacy of one of the last lines of antibiotic defense. Addressing this challenge requires innovative approaches that can enhance our understanding and ability to combat resistant pathogens. This review aims to explore the integration of machine learning (ML) and epidemiological approaches to understand, predict, and combat carbapenem-resistant pathogens. It examines how leveraging large datasets and advanced computational techniques can identify patterns, predict outbreaks, and inform targeted intervention strategies. The review synthesizes current knowledge on the mechanisms of carbapenem resistance, highlights the strengths and limitations of traditional epidemiological methods, and evaluates the transformative potential of ML. Real-world applications and case studies are used to demonstrate the practical benefits of combining ML and epidemiology. Technical and ethical challenges, such as data quality, model interpretability, and biases, are also addressed, with recommendations provided for overcoming these obstacles. By integrating ML with epidemiological analysis, significant improvements can be made in predictive accuracy, identifying novel patterns in disease transmission, and designing effective public health interventions. Case studies illustrate the benefits of interdisciplinary collaboration in tackling carbapenem resistance, though challenges such as model interpretability and data biases must be managed. The combination of ML and epidemiology holds great promise for enhancing our capacity to predict and prevent carbapenem-resistant infections. Future research should focus on overcoming technical and ethical challenges to fully realize the potential of these approaches. Interdisciplinary collaboration is key to developing sustainable strategies to combat antimicrobial resistance (AMR), ultimately improving patient outcomes and safeguarding public health.

The effect of collaboration on the adolescent EFL learners’ writing performance

ABSTRACT Research on L2 collaborative writing (CW), where learners work together to co-construct a single text, has received increased attention in the last decades. Studies with adult learners have shown that collaboration benefits learners’ written products in terms of quantitative measures of accuracy and, more rarely, complexity and fluency (CAF) as well as qualitative global ratings. Additionally, research has shown that when adult learners work in pairs, they generate and resolve correctly a large number of language-related episodes (LREs). However, little is known as to whether CW benefits the writing performance of secondary school EFL learners, and to what extent these learners are able to produce and resolve LREs correctly. To address these two gaps, the present study compared the writing performance of 96 adolescent learners in Kosovo, assigned to work in pairs (n = 32) or individually (n = 32), and analysed the LREs produced by the pairs. The results suggest that pairs produced better texts in terms of CAF as well as overall text quality. Pairs also generated and resolved correctly a large proportion of LREs. In light of these findings, the use of CW is established as a viable pedagogic tool in the teaching of L2 writing with adolescent EFL learners.

Let's fail better: Using philosophical tools to improve neuroscientific research in psychiatry.

Despite predictions that neuroscientific discoveries would revolutionize psychiatry, decades of research have not yet led to clinically significant advances in psychiatric care. For this reason, an increasing number of researchers are recognizing the limitations of a purely biomedical approach in psychiatric research. These researchers call for reevaluating the conceptualization of mental disorders and argue for a non-reductionist approach to mental health. The aim of this paper is to discuss philosophical assumptions that underly neuroscientific research in psychiatry and offer practical tools to researchers for overcoming potential conceptual problems that are derived from those assumptions. Specifically, we will discuss: the analogy problem, questioning whether mental health problems are equivalent to brain disorders, the normativity problem, addressing the value-laden nature of psychiatric categories and the priority problem, which describes the level of analysis (e.g., biological, psychological, social, etc.) that should be prioritized when studying psychiatric conditions. In addition, we will explore potential strategies to mitigate practical problems that might arise due to these implicit assumptions. Overall, the aim of this paper is to suggest philosophical tools of practical use for neuroscientists, demonstrating the benefits of a closer collaboration between neuroscience and philosophy.

Merging Worklife Organizational Innovation and Educational Programs: Promoting Continuous Adaptations to the Global Economy

AbstractThis essay honors the accomplishments of Morten Levin both by analyzing some of the key innovative educational programs he created and by extending the elements of that analysis to two other cases, that of Aker Solutions and the Mondragon Cooperatives. We acknowledge that the relationship between higher education institutions and manufacturing-service-public sector organizations is multiplex and has undergone multiple transformations over the decades. It is also affected by the national political economy and the scope and diversity of the higher education sector itself. Creating sustained and yet dynamic relations among these actors in service of both higher education and the efficacy and innovativeness of worklife organizations is a significant challenge which all the cases we present have addressed with some success. What the efforts have in common is a democratizing action research built on an ethos and worldview of the benefits of collaboration and co-creation, and organizational capabilities built on Actor Network strategies to promote collaboration and innovation as a way of adapting to the rapidly changing world conditions effectively. We argue that there are many more such examples in existence and that a key role for action research is to document them, show how more collaborative and adaptive organizational processes are possible and show how neoliberal New Public Management is an authoritarian “wrong turn” with dire consequences. Ultimately, this essay is an argument against the “iron cage” view of bureaucracy as always coercive and stultifying and show that it is not bureaucracy but the authoritarian approaches to creating coercive bureaucracies that destroy organizational collaborations and innovation.

Chatbot applications in government frontline services: leveraging artificial intelligence and data governance to reduce problems and increase effectiveness

ABSTRACT Taiwan has been developing digital technology for many years. Whether it is industry or government, Taiwan’s digitalisation level is among the highest in the world. This research aims to show how the application of chatbots and AI technology affects Taiwan’s local governments, what problems have arisen from its operations so far, and what key factors provide a better understanding of the effectiveness of chatbots. Contributions to the transformation of existing digital governments can be used to strengthen governance and political participation. This article adopts a case study approach. The research findings are based on the evaluation model constructed by literature review and in-depth interviews; this ideal model examined the operational effectiveness of existing local government chatbots. Through in-depth interviews, we discovered that human-robot collaboration would be the most beneficial model for using artificial intelligence in the future. In order to maximise the benefits of human-robot collaboration, government agencies must enhance organisational members’ understanding of artificial intelligence through education and training to help cross-domain communication and coordination activities with entrusted units and through education and training to build an organisational culture that supports the organisation’s digital transformation.

Carlos Asensio and the dawn of molecular microbial ecology.

At near 50years of the discovery of microcins, this article highlights the pivotal-but under-recognised-influence of Spanish biochemist Carlos Asensio (1925-1982) in contemporary microbiology, featuring the epistemological, sociological, and cultural impact of his scientific achievements. At a time when the intestinal microbiome is central to current biomedical research, it is due to emphasise his role in the establishment of new scientific fields that are now considered fundamental. Despite his premature death at the peak of his conceptual and experimental creativity, many of his ideas about microbial communication in complex communities inspired a generation of researchers and opened new topics reach to this day. Asensio was also a trailblazer in Spain, advocating for fundamental research within the socio-economic context of his time. He foresaw the shift towards what is now termed the knowledge-based bioeconomy, recognised the need for multidisciplinary research teams, and advocated integration science into societal and political agendas. These facets became evident during his research on microcins, low molecular weight bioactive compounds produced by enterobacteria. These molecules were hypothesised as mediators of microbial interactions in the human gut and were considered potential new antibiotics and even antitumoral agents. His research mobilised young talent and attracted unprecedented resources in Spain during the late 1970s-early 1980s. It underscored the medical value of microbial ecology and exemplified the benefits of collaboration between academia and industry. Asensio played a pivotal role in the emergence of molecular microbial ecology as a research discipline and its foundational and applied significance in biotechnology.

Learning curve in robotic liver surgery: easily achievable, evolving from laparoscopic background and team-based

PurposeLimited and heterogeneous literature data necessitate a focused examination of the learning curve in robotic liver resections. This study aims to assess the learning curve of two surgeons from the same team with differing laparoscopic backgrounds. MethodSince February 2021, San Raffaele Hospital in Milan has implemented a robotic liver surgery program, performing 250 resections by three trained console surgeons. Using cumulative sum (CUSUM) analysis, the learning curve was evaluated for a Pioneer Surgeon (PS) with around 1200 laparoscopic cases and a New Generation Surgeon (NGS) with approximately 100 laparoscopic cases. Cases were stratified by complexity (38 low, 74 intermediate, 85 high). ResultsBoth PS and NGS demonstrated a learning curve for operative time after 15 low-complexity and 10 intermediate-complexity cases, with high-complexity learning curves apparent after 10 cases for PS and 18 cases for NGS. Conversion rates remained unaffected, and neither surgeon experienced increased blood loss or postoperative complications. A “team learning curve” effect in terms of operative time emerged after 12 cases, suggesting the importance of a cohesive surgical team. DiscussionThe robotic platform facilitated a relatively brief learning curve for low and intermediate complexity cases, irrespective of laparoscopic background, underscoring the benefits of team collaboration.

Applying the Panarchy Framework to Examining Post-Pandemic Adaptation in the Undergraduate Medical Education Environment: A Qualitative Study

Phenomenon: The COVID-19 pandemic necessitated an abrupt shift to online medical education, disrupting learning across knowledge, skills, and social connections. Post-pandemic, medical schools must evaluate how these disruptions shaped student experiences to optimize the return to in-person learning. Approach: This cross-sectional qualitative study explored medical students’ perceptions of their learning environment during the post-pandemic reintegration period in Oman. Fifty-four preclinical and clinical students participated in six focus group interviews. Content analysis identified key topics characterizing students’ perceptions of change and change processes in the post-pandemic learning environment. The panarchy framework, developed to characterize complex adaptive systems in nature, was used to frame the results. Findings: The return to in-person environments presented a mix of renewed connectivity, involving collaborative benefits alongside transitional adjustment strains. Five major topics characterizing student perceptions of change and change processes in their post-pandemic learning environment were identified: learning skills, developing clinical competence, faculty interactions, physical atmosphere, and social connections. Managing academic schedules and cognitive load as the learning environment opened challenged students’ learning skills. Learners valued a renewed opportunity for interactive application of knowledge through collaboration, patient contact, and empathy skill-building to feel prepared for future practice. Returning to in-person instruction renewed a sense of community and peer support networks disrupted by pandemic isolation. Some students continued to struggle with study-life imbalance and felt ill-equipped to handle post-pandemic demands. Improved access to student support and wellness services was emphasized to ease transitional stresses. Students defined an ideal learning climate as supportive, active, personalized, relevant, challenging, accessible, and collaborative. Insights: While pandemic disruptions posed challenges, they provide opportunities to strengthen the educational system’s resilience moving forward. Our findings highlight an opportunity for medical educators and learners to capitalize on the innovations that emerged during this period, integrating technology with interactive learning activities and reconnecting students with the core values of the medical profession. Applying the panarchy framework to frame this adaptive process could enable the tracking of multi-level interactions within the medical education environment and the evaluation of interventions targeted at identified areas of concern. Further exploration to achieve complete mapping of specific environmental domains onto the panarchical cycles merits future investigation to build integrated resilience frameworks.

Collaborative Joint Perception and Prediction for Autonomous Driving.

Collaboration among road agents, such as connected autonomous vehicles and roadside units, enhances driving performance by enabling the exchange of valuable information. However, existing collaboration methods predominantly focus on perception tasks and rely on single-frame static information sharing, which limits the effective exchange of temporal data and hinders broader applications of collaboration. To address this challenge, we propose CoPnP, a novel collaborative joint perception and prediction system, whose core innovation is to realize multi-frame spatial-temporal information sharing. To achieve effective and communication-efficient information sharing, two novel designs are proposed: (1) a task-oriented spatial-temporal information-refinement model, which filters redundant and noisy multi-frame features into concise representations; (2) a spatial-temporal importance-aware feature-fusion model, which comprehensively fuses features from various agents. The proposed CoPnP expands the benefits of collaboration among road agents to the joint perception and prediction task. The experimental results demonstrate that CoPnP outperforms existing state-of-the-art collaboration methods, achieving a significant performance-communication trade-off and yielding up to 11.51%/10.34% Intersection over union and 12.31%/10.96% video panoptic quality gains over single-agent PnP on the OPV2V/V2XSet datasets.

Forecasting software indicators: an industry-academia collaboration

ContextNowadays software-development organizations are urged to exploit their data for empowering their decision-making processes. Such data may be used to monitor the status of meaningful software indicators (e.g., software quality, productivity and on-time delivery) that are relevant for their decision-making processes. Forecasting the values of such indicators may provide evidence of a potentially high risk or opportunity that could help to anticipate actions accordingly. Most of the existing forecasting proposals in software engineering use open-source data rather than data from industrial projects. Therefore, there is a lack of evidence on how these proposals fit the particular needs of a software-development organization and how they can be automated into the organization’s infrastructure.ObjectiveTo enable software indicators´ forecasting in a software-development organization (Modeliosoft).MethodWe designed an industry-academia collaboration based on Action Design Research (ADR) to address Modeliosoft’s forecasting challenges.ResultsA tool-supported method called FOSI (Forecasting Of Software Indicators) for enabling forecasting in Modeliosoft. We obtained positive results regarding its suitability and technical feasibility in a pilot project of the organization. In addition, we provide details and reflections on the potential usefulness of the method for addressing similar field problems.ConclusionsThe procedures and results detailed in this paper are valuable to: 1) address Modeliosoft’s forecasting challenges 2) inspire other software-development organizations on how to deal with similar problems and even reuse some procedures and software support tools resulted from this work, 3) promote the win-win benefits of industry-academia collaborations.

INFORMATION SECURITY AND THE DEVELOPMENT OF EDUCATIONAL ENVIRONMENT OF THE 21ST CENTURY

In the 21st century, information security has emerged as a critical concern for educational environments. This paper delves into the definition and scope of information security, highlighting its key principles and best practices. It underscores the relevance of robust information security measures for educational institutions, which face unique threats such as cybersecurity risks, data privacy issues, and security breaches. By examining real-world examples, the paper illustrates these threats and their potential impact. Strategies for enhancing information security in educational settings are discussed, including implementing advanced cybersecurity protocols, the importance of training and awareness programs, and the benefits of collaboration with industry experts and government agencies. The paper also explores the positive impact of information security on educational development, such as creating a safe learning environment, fostering innovation and technology integration, and maintaining the confidentiality and integrity of educational data. The conclusion emphasizes the critical need for proactive information security measures in educational institutions and considers future advancements and strategies to address emerging threats.

Frozen shoulder: subjects’ needs and perspectives and clinicians’ beliefs and management strategies: do they align? A cross-sectional study

ObjectivePhysiotherapists (PTs) play a crucial role in managing individuals with Frozen Shoulder (FS), frequently being the first healthcare professionals involved in the treatment of this condition.AimThis study aimed to compare the beliefs, expectations, and perspectives of individuals with FS with the knowledge, skills, and strategies of PTs, highlighting similarities and differences.MethodThis study adhered to the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). From May 1st to August 1st, 2023, a two-part survey was conducted involving PTs and individuals diagnosed with FS. The survey focused on comparing key areas such as clinical assessment, patient education, treatment expectations, and the psychological aspects of the patient-clinician relationship.ResultsA total of 501 PTs and 110 subjects with FS participated in the survey. Most PTs showed proficiency in FS pathoanatomical conditions and were also attentive to psychological aspects (88.4%), describing the pathology evolution in three or two stages (68.2%). They also highlighted the importance of patient education (89.6%) and recognized the potential benefits of a multiprofessional collaboration in managing FS (82.2%). Reassurance was reported as a priority by 32.3% of PTs. Subjects with FS expressed a preference for PTs who are both expert and empathetic (73.6%). Regarding their understanding of FS, 29.09% of subjects reported receiving a three-phase explanation, while 26.36% felt inadequately informed. Nearly half of the subjects (49.09%) anticipated being managed independently by a PT, with 93.64% prioritizing the improvement of their range of motion.ConclusionThis study revealed a general agreement between subjects with FS and PTs regarding aspects of the therapeutic relationship, patient education, pathology management, compliance and motivation strategies, and pain management preferences. However, significant differences emerged concerning the perception of physiotherapy effectiveness, primary treatment goals, subjects’ priorities, and the importance of psychological assessment.

THE IMPACT OF COLLABORATIVE CARE ON COST OF TREATMENT FOR THE MANAGEMENT OF HYPERTENSION- A SYSTEMATIC REVIEW

Introduction: For evaluation of the long term costs and benefits of physician-pharmacist collaboration associated with physician management for the treatment of essential hypertension. Around the world the major cause of death is hypertension. It is an incurable condition that requires proper therapeutic regimens for its life-long management. Due to this, hypertension therapy can be financially burdensome to the patient, and the rates of non-compliance are increased. Aims and Objectives: To observe the results of collaborative, clinical, and interventive approaches to hypertension management, on the cost-effectiveness of therapy, this study aimed to collect and compare cost information on hypertension management, mortality, and morbidity across different countries and cost groups. Using this information, future healthcare expenses can be better planned; for example, by initial emergency response or by changing the way money is distributed. This will lead to more high-pressure jobs. Therefore, it will be more costly to control blood pressure. Method: A systematic review was conducted using 6 major electronic databases that investigated the influence of collaborative care upon healthcare expenses in hypertensive patients and hypertension therapy costs, before and after the intervention of medical personnel, was observed. Conclusions: It was concluded that interventions provided by the collaboration of medical personnel, in the management of hypertension, made the therapy more cost-effective and hence the rate of patient compliance and adherence to the therapy were increased. Peer Review History: Received 18 May 2024; Reviewed 11 July 2024; Accepted 26 August; Available online 15 September 2024 Academic Editor: Dr. Tamer Elhabibi, Suez Canal University, Egypt, tamer_hassan@pharm.suez.edu.eg Average Peer review marks at initial stage: 5.5/10 Average Peer review marks at publication stage: 7.0/10 Reviewers: Dr. Ogbonna B. Onyebuchi, Nnamdi Azikiwe University, Awka, Nigeria, summitpharm@yahoo.com Dr. George Zhu, Tehran University of Medical Sciences, Tehran, Iran, sansan4240732@163.com