Team Effectiveness Research Articles

The effect of the goal kick rule change on the team’s performance in ball possession and goal scoring in elite male football

Goalkeepers have always played an important role Defensively. Due to rule changes and tactical transitions, goalkeepers now also have an influence on attacking aspects of the game (Szwarc et al., 2023, Baltic J Health Phys Act). The most recent rule change allows attacking players in the box during goal kicks, which creates extra space for the attacking team at the time of the goal kick without direct pressure from the opponent. This is beneficial for teams in the build-up who try to increase space to create goal scoring opportunities in advantageous positions eventually high up the pitch (Goes et al., 2019, Big Data, 7, 57-70). This latest rule change gives the attacking team an extra 640 m2 of space to displace the opposition defence in deeper positions to create scoring opportunities. As of date, no research has looked at the goal kick rule change and its effect on the distribution tendencies and tactical approaches implemented, when attempting to progress the ball up the field from a goal kick. This research aims to analyse the distribution tendencies of Premier League teams in the 2022/2023 season and compare goal kick and build-up behaviour between teams, depending on their finishing position in the season. A secondary data analysis will be conducted on Premier League matches during the 2022/2023 season, including 2136 goal kick sequences cropped from 760 games. The location of the first pass of the goal kick, number of passes during the build-up, duration of the build-up phase, and the amount of goalkeeper touches after the initial goal kick will be analysed. Additionally, the outcome of successful goal kicks will be analysed considering the action and location of the action. All data analysis will be done using HUDL Sportscode (v12.29.0., Hudl, USA). Statistical analysis will evaluate the effect of team’s league table position on the start of the goal kick, build up phase, and the outcome of the goal kick.

Influence of Communication of Team Leadership on Team Effectiveness of Collaborative Partnerships in International Research Organizations in Kenya

The objective of the study was to evaluate the influence of communication by team leadership on the effectiveness of collaborative partnerships in international research organizations in Kenya. The study was grounded on positivist research philosophy. The study adopted the correlational research design. The anticipated respondents from the 12 international research organizations included 164 program leaders, project managers and heads of departments. A census was conducted. Structured questionnaires were used to collect the data. SPSS version 25 was used to organize, code, and analyze information and generate the quantitative report. The data was analyzed using descriptive and inferential statistics. The correlation results showed that communication by team leadership is positively and significantly related to team effectiveness. The regression (R2) showed that 50.1% of the variations of team effectiveness of collaborative partnerships in international research organizations in Kenya were explained by the communication by team leadership R2 = .501. The regression parameter estimates showed that communication by team leadership is positively and significantly related to team effectiveness (β =.743, t (151) = 12.269, p<.05). Thus, communication of team leadership significantly influences the team effectiveness of collaborative partnerships in international research organizations in Kenya. The study recommends effective communication through team leadership is crucial for international research organizations in Kenya to enhance their effectiveness, achieve success, and address various factors influencing collaborative partnerships.

Enhancing team dynamics through digital coaching: the role of managerial and peer support

PurposeAlthough the literature on the effectiveness of team interventions is constantly expanding, there has been a strong focus on the process mechanisms that could explain their success, often overlooking the contextual aspects in which these interventions are carried out. Based on the Context-Mechanism-Outcome framework, this study aims to investigate the influence of contextual factors on the effectiveness of digital team coaching interventions that use social network visualisation to enhance team coordination and reduce interpersonal conflicts.Design/methodology/approachUsing a multi-wave, longitudinal design, this research analysed 38 work teams from three organisations over three-time points. Data collection focused on manager and peer support, the mechanisms of training transfer and action plan implementation and the outcomes of these interventions. Surveys were administered in three organisations, involving 317 respondents across different phases. The intervention spanned six to eight months, incorporating three to four structured online group sessions. Each session involved a multi-stage process, concluding with a result-oriented action plan about work-related goals. The intervention included social network visualisation, discussions, coaching and continuous refinement of action plans.FindingsThe analysis highlights how manager support significantly correlates with team coordination and performance, mainly when teams are less engaged in implementing action plans. Peer support did not show a mediating effect on training transfer or outcomes but had direct positive impacts on team coordination and performance.Practical implicationsTeams actively implementing action plans may require less immediate managerial support for effective coordination and high performance. The manager’s role becomes crucial, particularly in the early stages of the intervention or in those teams where online coordination alone may not be adequate for action plan implementation. Peer support for training transfer could enhance the effectiveness of the intervention in achieving desired team outcomes; therefore, cultivating a supportive peer environment is crucial for the success of such interventions. Monitoring and assessing team dynamics are vital to maximise the benefits of digital team coaching interventions.Originality/valueThis study stands out for its innovative exploration of the interplay between managerial and peer support in the context of digital team coaching, using social network visualisation as a novel approach to enhancing team dynamics.

Individual and team profiling to support theory of mind in artificial social intelligence

We describe an approach aimed at helping artificial intelligence develop theory of mind of their human teammates to support team interactions. We show how this can be supported through the provision of quantifiable, machine-readable, a priori information about the human team members to an agent. We first show how our profiling approach can capture individual team member characteristic profiles that can be constructed from sparse data and provided to agents to support the development of artificial theory of mind. We then show how it captures features of team composition that may influence team performance. We document this through an experiment examining factors influencing the performance of ad-hoc teams executing a complex team coordination task when paired with an artificial social intelligence (ASI) teammate. We report the relationship between the individual and team characteristics and measures related to task performance and self-reported perceptions of the ASI. The results show that individual and emergent team profiles were able to characterize features of the team that predicted behavior and explain differences in perceptions of ASI. Further, the features of these profiles may interact differently when teams work with human versus ASI advisors. Most strikingly, our analyses showed that ASI advisors had a strong positive impact on low potential teams such that they improved the performance of those teams across mission outcome measures. We discuss these findings in the context of developing intelligent technologies capable of social cognition and engage in collaborative behaviors that improve team effectiveness.

Analysis of the influence of communication, leadership, and work teams on nurse discipline

Introduction: The availability of quality health services for the community must receive attention from the government as one of the efforts to develop the health sector. Disappointing evidence regarding improvement in nurses' safe and quality care elevates the need to broaden our knowledge regarding the factors that enhance constant learning in nursing teams. Objective: Analyzes the effect of communication, leadership, and teamwork on nurse discipline. Methods: This quantitative research uses an analytical observational approach and a cross-sectional research design. With the analysis of the data, a linear regression test. The sample was selected using the cluster random sampling method with 36 respondents. Result: This shows the results of a linear regression test with a communication value of p = 0.024, a leadership p = 0.057, and a work team value of p = 0.004, so it can be supposed that there is an influence between the effectiveness of the work team and nurse discipline. So, it can be concluded that the point of communication and the effectiveness of the work team affect the discipline of nurses. Conclusion: the effect of the level of communication effectiveness and the effectiveness of the work team on the discipline of nurses. The story of the effectiveness of nurses can be increased by regulating the flow of information by sending authorized delegates. They are utilizing feedback to maintain organizational communication effectiveness by providing nurses with orientation, direction, and supervision.

Path Goal Leadership Of School Heads And Team Effectiveness Among Public Secondary Teachers In Digos City Division

Path Goal Leadership Of School Heads And Team Effectiveness Among Public Secondary Teachers In Digos City Division

The physician oncology referral process and its effect on tumor board outcomes.

e13752 Background: Oncology settings are known for their hierarchical structure, with distinct status demarcations among professional occupational specialties. The physician oncology referral process, a critical aspect of cancer management, reflects this hierarchical nature. This process, initiated upon suspicion of cancer, entails sequential clinical evaluation and treatment by physicians in the following order: surgeons, medical oncologists, specialty physicians, and referral physicians like interventional radiologists and radiation oncologists. Those at the top of the hierarchy wield considerable influence over the oncology referral process, directing subsequent patient care. While several studies have criticized the effectiveness of cancer management teams, little attention has been given to the potential role of the referral process in reinforcing hierarchical structures within tumor boards, possibly undermining their intended goals. Methods: This qualitative, ethnographic study investigated the interplay between the physician oncology referral process and tumor board outcomes in oncology settings. Data spanning three years were collected from seven research hospitals in the United States and the United Kingdom, encompassing observations from 44 tumor boards and eighteen semi- and unstructured interviews. The principal investigator conducted an analysis and synthesis of the gathered data. Results: The ethnographic study revealed that the hierarchies observed in tumor boards align with and are influenced by the traditional oncology referral process. Group interactions and treatment deliberation outcomes were significantly affected by the social dynamics of hierarchy mirrored in the referral process, ultimately compromising the intended objectives of tumor boards. Surgeons and medical oncologists, who traditionally lead the referral process, tended to dominate tumor board meetings. In contrast, sub-specialties like interventional radiologists and radiation oncologists, positioned at the end of the referral process, were less engaged in deliberations and often overlooked for treatment referrals. The higher the position in the hierarchy and referral process, the more pronounced the tacit authority and ability to direct patient treatment. Conclusions: This study highlights the alignment of traditional oncology referral processes with tumor board dynamics, showcasing similar social and clinical impacts. Despite potential resentment cultivated by reinforced hierarchy in the referral process, tumor board members tend to acquiesce, accepting decisions even when they may not align with optimal patient care.

Dynamic machine learning model to forecast patient availability for clinical trials.

e13641 Background: Patient eligibility is a routine concept in clinical research, comprised of simple or complex set of inclusion or exclusion criteria applied in a specific sequence. Our methodology introduces the concept of ‘availability’ as a narrower term that is closer to the actual number that will be considered for a specific study and who may decide to participate. This specific research develops Machine Learning (ML) model that dynamically predicts likelihood of Multiple Myeloma progression and departure from targeted outcomes to sustain therapy and to indicate potential availability for clinical trials – to reduce screening efforts and improve screening precision of clinical research organizations. Methods: The cohort for training these models was drawn from the ConcertAI Oncology Research database, further enriched by key variables derived from unstructured data sources. Eligible patients for the analysis had a diagnosis of Multiple Myeloma made after Jan 1, 2020. Progressions were labelled using International Myeloma Working Group Criteria. Patients that did not satisfy the criteria were censored. Labels were assigned to patients after initial diagnosis of MM, and the duration between diagnosis to label was computed to build time to event (TTE) models. Over 2000 features were created to build this model, e.g., laboratory values, vitals, biomarkers, medications, ECOG, stage, etc. Variable creation preserved temporality of lab variables and vitals and noted presence of other variables. Several ML methods were employed to build the TTE models, with gradient boosting resulting in the highest c-index (0.8) based on 12 clinically relevant features. A temporal validation of the model was performed on a simulated index date. Results: Cohort used for training the model comprised of N = 4315 patients with average age at diagnosis of 72.3 years, and ~11% of the patients labelled as progressing. Temporal validation was performed on N = 1874 patients, with ~9% progression rate. The area under the curve (AUC) and weighted F1 score for this cohort was 87% and 89% respectively. Conclusions: Patient availability assessments are complex, not supported effectively by existing solutions and often require 100’s of hours from highly trained clinical personnel. An AI model predicting Multiple Myeloma progression built using a large-scale real-world dataset demonstrated 2-4x improvement in forecasting patient availability over other approaches. Integrating these solutions into clinical workflows can improve the effectiveness of research teams; enable more patients to have clinical trials as viable options at the right time; and allow care teams to have forward visibility to choices of standard-of-care and clinical trial alternatives in the best interest of patient outcomes. [Table: see text]

Do Agile scaling approaches make a difference? an empirical comparison of team effectiveness across popular scaling approaches

With the prevalent use of Agile methodologies, organizations are grappling with the challenge of scaling development across numerous teams. This has led to the emergence of diverse scaling strategies, from complex ones such as “SAFe", to more simplified methods e.g., “LeSS", with some organizations devising their unique approaches. While there have been multiple studies exploring the organizational challenges associated with different scaling approaches, so far, no one has compared these strategies based on empirical data derived from a uniform measure. This makes it hard to draw robust conclusions about how different scaling approaches affect Agile team effectiveness. Thus, the objective of this study is to assess the effectiveness of Agile teams across various scaling approaches, including “SAFe", “LeSS", “Scrum of Scrums", and custom methods, as well as those not using scaling. This study focuses initially on responsiveness, stakeholder concern, continuous improvement, team autonomy, management approach, and overall team effectiveness, followed by an evaluation based on stakeholder satisfaction regarding value, responsiveness, and release frequency. To achieve this, we performed a comprehensive survey involving 15,078 members of 4,013 Agile teams to measure their effectiveness, combined with satisfaction surveys from 1,841 stakeholders of 529 of those teams. We conducted a series of inferential statistical analyses, including Analysis of Variance and multiple linear regression, to identify any significant differences, while controlling for team experience and organizational size. The findings of the study revealed some significant differences, but their magnitude and effect size were considered too negligible to have practical significance. In conclusion, the choice of Agile scaling strategy does not markedly influence team effectiveness, and organizations are advised to choose a method that best aligns with their previous experiences with Agile, organizational culture, and management style.

Self-managing peer team as a facilitator of online teaching

PurposeThis qualitative study assesses the enablers of the work of a novel, self-managing digital pedagogy peer support team in a Finnish higher education institution.Design/methodology/approachThis study employs a qualitative methodology with in-depth interviews of five digital pedagogy facilitators. The data collected are analyzed with the ATLAS.ti software. The analytical approach follows a deductive method, applying the categories derived from Magpili and Pazos (2018) who investigated the input variables of self-managing teams through their extensive literature review.FindingsThe primary findings underscore the suitability of Magpili and Pazos' variables for evaluating the performance enablers of self-managing teams. Furthermore, the findings emphasize the significance of leadership and effective communication as essential prerequisites for achieving elevated performance levels.Research limitations/implicationsThis study focuses on the enablers of team performance from the perspective of the team members. To enhance comprehensiveness, subsequent phases should incorporate viewpoints from clients, namely peer instructors, and focus on the mediator and outcome aspects of the team effectiveness framework.Practical implicationsThis study offers actionable recommendations for higher education institutions aiming to adopt a peer mentor model akin to the one delineated in the study.Originality/valueThis study analyzes a collaborative approach to advancing digital pedagogy within higher education institutions and discusses the enablers for successful performance within self-managing teams.

Disparities in patients' understanding of cardiovascular disease management.

Non-communicable diseases, including cardiovascular disease (CVD), are some of the leading causes of mortality worldwide. Despite the effectiveness of early diagnostic and treatment options, patient screening, disease detection and disease progression remain a challenge, resulting in suboptimal outcomes. Consequently, cardiovascular diseases remain underdiagnosed and undertreated, particularly in developing countries. Several barriers, including paucity of recommended cardiovascular health information and low literacy levels, lead to a poor understanding of the importance of intervention in terms of modifiable risk factors as well as treatment adherence. This narrative review focuses on cardiovascular patients' understanding of their disease, and the need for compliance with their medication and lifestyle modifications. Low levels of perception and insufficient knowledge of CVDs among patients continue to be indispensably important factors in health behaviour. Increased awareness of these issues has the potential to improve the effectiveness of the multidisciplinary cardiovascular team and ultimately improve the care provided to these patients.

Meta-Competencies as a Key Factor of Individual and Team Effectiveness

Relevance. The article discusses issues related to the development of media competence of university students as a key factor in the effectiveness of individual and team work. The development of IT technologies and changes in the system of social communications lead to the constant development of competencies, primarily metacompetencies. At the same time, there is a "gap" between the levels of public administration, the development of technology, personnel and the socio-economic sphere, which leads to a social catastrophe. The elimination of such a "gap" is possible only with the development of staff competencies. The results of specific studies evaluating the effectiveness of individual and team work using methods of nonlinear dynamics, multifactorial regression and cognitive modeling are presented.The purpose is to give an idea of meta-competencies and models of their practical use in individual and team work.Objectives: to conduct a brief analysis of: existing competence-based approaches, including to give an idea of the non-classical competence approach; the "holistic competence model" used in the management of competence development; to give an idea of the educational situational center (USC) as an effective gaming environment for the development of competencies; to propose a scheme for the synthesis of scientific, educational and managerial practices used at the university; to give a general idea of the different types of social trajectories; to give an idea of the student's educational and career trajectory as one of the types of social trajectories designed to manage the development of competencies.Methodology. In studying this topic, the following methods were used: the method of theoretical analysis of the sources of research of the problem, the illustrative-graphical method, the method of comparative analysis, as well as various types of modeling (nonlinear dynamics of processes, multifactorial regression and cognitive modeling).Results. The article presents an analysis of the results of practical research in the field of all types of modeling used.Conclusion. In the process of formation and development of meta-competencies, both individual and team, the authors propose to use various types of modeling (a system of models) designed to manage meta-competencies in project work

Pharmacy students' interprofessional experience and performance in advanced pharmacy practice experience rotations amid COVID-19 pandemic.

Interprofessional education (IPE) is essential in pharmacy training, providing students with vital collaborative skills for real-world healthcare. Advanced Pharmacy Practice Experience (APPE) is integral to IPE, allowing students to apply their knowledge in diverse healthcare settings. The COVID-19 pandemic has disrupted healthcare education and raised concerns about its impact on IPE during APPE rotations. Our study investigates the pandemic's influence on pharmacy students' interprofessional interactions and APPE performance. To assess the interprofessional experiences of fourth-year pharmacy students before and during the COVID-19 pandemic in the context of APPE. This retrospective observational study examined the experiences of P4 pharmacy students in the United States during APPEs before and during the pandemic. We employed electronic surveys with 21 questions to gauge interactions and interprofessional team effectiveness, employing Likert scale response options. We compared responses between the 2019-2020 and 2020-2021 APPE rotations using statistical tests. Our study encompassed 83 and 86 students for the 2019-2020 and 2020-2021 APPE rotations, respectively, achieving a 100% response rate. Amid the pandemic, written communications between pharmacy students and healthcare providers in general medicine rotations increased, while in-person engagement decreased. Pre-COVID, students reported higher colleague referrals and greater interprofessional utilization during ambulatory care rotations. COVID-19 shifted interactions from in-person to written communication between pharmacy students and healthcare providers. Students reported decreased satisfaction with their interprofessional experiences. This research offers insights into the changing landscape of pharmacy education, helping students prepare for evolving challenges in healthcare delivery and education.

The effects of mobile primary health teams: Evidence from the Médico del Barrio strategy in Ecuador

Starting in 2017, Ecuador gradually expanded its primary healthcare access program nationwide using mobile traveling healthcare teams through the Estrategia Médico del Barrio (EMB) [or Neighborhood Doctor Strategy]. EMB teams, composed of a primary care physician, a nurse, and a community health worker, made home visits in marginalized areas. We estimate the impact of the EMB on health and utilization outcomes using nationally representative household surveys for 2006 (N = 55,666), 2012–13 (N = 92,500) and 2018–19 (N = 168,747). The treatment variable at the extensive margin is any exposure to EMB at the canton level. At the intensive margin, we use exposure in terms of weeks covered by EMB and the number and composition of EMB personnel per 1000 population. We identify outcomes of treated vs. non- or partially-treated cantons based on the random combination of the timing of the start of the program’s implementation and the timing of the survey interview, which varied across cantons. We use difference-in-difference (DD) and difference-in-difference-in-difference (DDD) frameworks, the latter for cantons with high indigenous concentration. We find significant effects on the reported health problem and preventive care, but mixed results in terms of curative healthcare. The DDD specification shows that EMB improved health problem diagnoses and preventive healthcare utilization, including in highly indigenous cantons, yet it seemed to have mixed results in terms of curative care use in Ecuador. Various alternative specifications and robustness tests do not qualitatively alter the main findings.

Accounting for Human Engagement Behavior to Enhance AI-Assisted Decision Making

Artificial intelligence (AI) technologies have been increasingly integrated into human workflows. For example, the usage of AI-based decision aids in human decision-making processes has resulted in a new paradigm of AI-assisted decision making---that is, the AI-based decision aid provides a decision recommendation to the human decision makers, while humans make the final decision. The increasing prevalence of human-AI collaborative decision making highlights the need to understand how humans engage with the AI-based decision aid in these decision-making processes, and how to promote the effectiveness of the human-AI team in decision making. In this talk, I'll discuss a few examples illustrating that when AI is used to assist humans---both an individual decision maker or a group of decision makers---in decision making, people's engagement with the AI assistance is largely subject to their heuristics and biases, rather than careful deliberation of the respective strengths and limitations of AI and themselves. I'll then describe how to enhance AI-assisted decision making by accounting for human engagement behavior in the designs of AI-based decision aids. For example, AI recommendations can be presented to decision makers in a way that promotes their appropriate trust and reliance on AI by leveraging or mitigating human biases, informed by the analysis of human competence in decision making. Alternatively, AI-assisted decision making can be improved by developing AI models that can anticipate and adapt to the engagement behavior of human decision makers.

Unveiling the mechanisms by which inclusive leadership influences the good soldier syndrome among health-care employees

PurposeThe purpose of this study is to investigate the relationship between inclusive leadership (IL), psychological safety (PS), affective commitment (AC) and organizational citizenship behavior (OCB) at the workplace. By understanding the sequential linkages, the research aims to provide insights for fostering a positive organizational culture that promotes employee commitment and employees’ willingness to go the extra mile for the organization.Design/methodology/approachThe authors study how IL and OCB are related through PS and AC. For this purpose, cross-sectional data from 384 nursing professionals in India was collected and structural equation modeling was conducted on the same using IBM AMOS.FindingsThe study found that IL has a major impact on OCB. The study further found that perceived IL leads to PS which is associated with OCB through AC.Research limitations/implicationsThe study has many theoretical and practical implications. This study uses a framework that is based on Affective events theory. In a health-care environment, IL can foster AC by promoting a culture of respect, collaboration and value for diverse perspectives, which enhances health-care professionals’ emotional attachment to their work and the organization. Additionally, by encouraging open communication and a sense of belonging, IL contributes to OCB, as health-care staff are more likely to engage in discretionary behaviors that support the overall effectiveness and positive functioning of the health-care team if PS is improved, ultimately improving patient care outcomes.Originality/valueTo the best of the authors’ knowledge, this is one of the primary studies that looks into the sequential mechanism through which IL impacts OCB.

Pengaruh Model Pembelajaran Team Games Tournament Terhadap Hasil Belajar Siswa Kelas V Pada Subtema 1 Peristiwa Kebangsaan Masa Penjajahan Di SD Negeri 091273 Karang Bangun

The purpose of this study to determine the effect of Team games tournament model on student learning outcomes in subtheme 1 Class V SD Negeri 091273 Karang bangun. This study is a pre-experimental study using one group pretest-posttest design, the sample of this study was 25 people. Data collection technique is a test. By doing the pretest got an average result of 65.92, then given treatment after treatment using the Team games tournament model so that it gets a posttest with an average value of 91.76. With the value obtained, the value of the postest has a higher average than the pretest. After doing the post test, the researchers conducted an n-gain Test got an n-gain score of 0.7660 categorized as high and the hypothesis test got a value of 27,562. T test results obtained by thitung = 27,562 with a significance level of 0,000. since the significant probability is much smaller than 0.05 i.e. 0.000 and thitung = 27,562 > ttable = 1,711 then HO is rejected and Ha is accepted. This shows that there is an influence of the Team games tournament learning model on the learning outcomes of Class V students on the theme 7 events in life and subtheme 1 national events of the colonial period on learning 1 and 2 in Class V at SD Negeri 091273 Karang bangun academic year 2023/2024.

Summary of clinical investigation plan for The DIATEC trial: in-hospital diabetes management by a diabetes team and continuous glucose monitoring or point of care glucose testing – a randomised controlled trial

BackgroundWorldwide, up to 20 % of hospitalised patients have diabetes mellitus. In-hospital dysglycaemia increases patient mortality, morbidity, and length of hospital stay. Improved in-hospital diabetes management strategies are needed. The DIATEC trial investigates the effects of an in-hospital diabetes team and operational insulin titration algorithms based on either continuous glucose monitoring (CGM) data or standard point-of-care (POC) glucose testing.MethodsThis is a two-armed, two-site, prospective randomised open-label blinded endpoint (PROBE) trial. We recruit non-critically ill hospitalised general medical and orthopaedic patients with type 2 diabetes treated with basal, prandial, and correctional insulin (N = 166).In both arms, patients are monitored by POC glucose testing and diabetes management is done by ward nurses guided by in-hospital diabetes teams. In one of the arms, patients are monitored in addition to POC glucose testing by telemetric CGM viewed by the in-hospital diabetes teams only. The in-hospital diabetes teams have operational algorithms to titrate insulin in both arms. Outcomes are in-hospital glycaemic and clinical outcomes.DiscussionThe DIATEC trial will show the glycaemic and clinical effects of in-hospital CGM handled by in-hospital diabetes teams with access to operational insulin titration algorithms in non-critically ill patients with type 2 diabetes. The DIATEC trial seeks to identify which hospitalised patients will benefit from CGM and in-hospital diabetes teams compared to POC glucose testing. This is essential information to optimise the use of healthcare resources before broadly implementing in-hospital CGM and diabetes teams.Trial registrationProspectively registered at ClinicalTrials.gov with identification number NCT05803473 on March 27th 2023.

Effectiveness of interdisciplinary teacher teams among English teachers in public secondary schools in Jolo

This descriptive-comparative study assessed the effectiveness of interdisciplinary teacher teams among English teachers in public secondary schools in Jolo during school year 2023-2024. One hundred (n=100) samples were taken through non-probability sampling method, quota sampling, among selected public secondary schools in Jolo, Sulu, Philippines. A modified questionnaire was used to elicit the perceptions of English teachers regarding the effectiveness of implementing interdisciplinary teacher teams in public secondary schools. English teachers believed that the interdisciplinary teacher teams among secondary schools was very effective in Instructional Practices, Student Orientation, Team Organization, and Team Structures. Findings also noted significant difference on the perceptions of English teachers regarding the effectiveness of interdisciplinary teacher teams in Team Organization. The study highlighted the positive impact of interdisciplinary approaches on student engagement and achievement. Interdisciplinary teacher teams offered opportunities for professional growth and development. Educators had the opportunity to expand their knowledge base, develop their teaching practices, and gain insights into alternative instructional approaches through collaboration with colleagues from different disciplines. Educational institutions can support this professional development by providing resources, incentives, and recognition for interdisciplinary collaboration.

IMPROVING SPORT SCIENCE IMPACT IN ATHLETE-LED PRACTICE ENVIRONMENTS: A PERSEPCTIVE FROM TRACK CYCLING

INTRODUCTION & AIMS Like most high performance sports, track cyclists are typically supported within the training environment by coaches and interdisciplinary practitioners who, through evidence-based practices, guide the athlete through the process of performance development. To effectively impact practice and athlete performance, practitioners must be able to implement their knowledge and expertise in a way that complements the wider performance team. The aim of this study was to examine track cycling coaches’ perspectives of the role and impact of sport science and research on their practice and the athlete development process. METHODS Semi-structured interviews were conducted with elite track cycling coaches (n=8) who had been working at the highest level of the sport (Olympics, UCI World Championships). The interviews addressed factors contributing to athlete preparation, and the current and potential impact of sport science on the development of elite track cyclists. Reflexive thematic analysis was conducted to identify common themes in participants’ experiences and perspectives. RESULTS Three principal themes were identified from the data: ‘conversation & the information dynamic’, highlighting the impact of information and feedback within the performance team for developing collective training intelligence; ‘integrating performance components for the individual’, detailing the importance of individualised and integrated approaches to athletes’ performance needs; and, ‘science to complement the vision’, examining the value of filtered data, and limitations of research in practice. CONCLUSION The findings highlighted two key contributors to performance team effectiveness: athletes deeply invested in, and actively contributing to, the development process; and, performance staff identifying and filtering research and data to impact decision making and athlete development. A four-stage model was developed from the collective findings for guiding sport scientists’ impact in athlete-led practice environments. Additionally, the model outlines sport scientist-supportive actions for coaches and athletes, along with practice-supportive actions for researchers, to improve impact within the sport.