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604
datasets available to search
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Dataset results
604 results for “Teams”
Evaluation of Behavioral Health-Virtual Patient Navigation Team (BH-VPN)
ClinicalTrials.gov study NCT03204643. IPD Sharing: NO. Countries: 1. Publications: 1.
Stroke Team Remote Evaluation Using a Digital Observation Camera- Long Term Outcomes(STRokE DOC-LTO)
ClinicalTrials.gov study NCT00936455. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Team-Based Connected Health (TCH) to Improve Clinical Outcomes and Access in Atopic Dermatitis
ClinicalTrials.gov study NCT03981926. IPD Sharing: NO. Countries: 1. Publications: 0.
Supported Employment in Patient Aligned Care Teams
ClinicalTrials.gov study NCT02400736. IPD Sharing: NO. Countries: 1. Publications: 2.
Stroke Team Remote Evaluation Using a Digital Observation Camera
ClinicalTrials.gov study NCT00283868. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Prescribe Exercise for Prevention of Falls and Fractures: A Family Health Team Approach
ClinicalTrials.gov study NCT01698463. IPD Sharing: Not stated. Countries: 1. Publications: 24.
Team Clinic: Virtual Expansion of an Innovative Multi-Disciplinary Care Model for Adolescents and Young Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT04190368. IPD Sharing: YES. Countries: 1. Publications: 28.
CCSH (Compassion-Centered Spiritual Health) for Teams
ClinicalTrials.gov study NCT06722027. IPD Sharing: YES. Countries: 1. Publications: 1.
Transition from transperitoneal to retroperitoneal approach in laparoscopic living donor nephrectomy: Team-based and individual learning curve: A cross-sectional study
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A blueprint for creating high performing teams of collaborative ecologists and environmental scientists
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Beetle Team Tribolium Data Archive
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Data from: A framework for sharing power in research teams and promoting justice in scientific publication
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Data from: Co-creation in fully remote software teams
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PTBi EA simulation and team training – knowledge and skills assessment
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The impact of team and athlete activist behaviors on fan loyalty and team identification: A study on the changing dynamics of fan loyalty in the Chinese Basketball Association
<p>This research examines brand loyalty and team identification among fans of professional basketball and Chinese Basketball Association (CBA) teams and how loyalty to basketball, CBA teams and athletes is impacted by the changing dynamics of the fanbase. Brand loyalty in sports is complex and fan attachment to teams often provoke intense emotional responses. The research employed a Likert-type survey questionnaire pre- and post-test and an emotional response pictorial assessment using Self-Assessment Manakin (SAM) to measure emotional dimensions (valence and arousal). Descriptive and parametric statistics were used to measure the relationships between CBA team loyalty, emotional response and team and player social activist behaviors. The research also assesses the relationships between demographics and background and team and player activist behaviors to determine changes in fan dynamics. The findings show moderate positive relationships between fan loyalty, team and player activist behaviors, younger age and middle income. These findings suggest that CBA fans who are committed to and identify with their favorite teams tend to have greater emotional responses to negative and positive media about their teams and that strong emotions toward team efforts for community activism and sustainability are likely to drive stronger feelings of loyalty to teams.</p>
Data from: From trial to implementation, bringing team-based learning online – Duke-NUS Medical School's response to the COVID-19 pandemic
<p>The restrictions imposed by the COVID-19 pandemic resulted in Duke-NUS Medical School moving all their lessons online. Duke-NUS employs a team-based learning (TBL) pedagogy, which depends heavily on student discussion. In 2015, our university had implemented an eLearning week where lessons were conducted online. Using the already present online assessment processes, the data, insights and student feedback allowed for swift implementation of an online TBL module for home-based learning in response to the pandemic in 2020. These protocols were modified over the weeks, guided by feedback from students and faculty. An analysis of this online TBL module is presented herein.</p>
The impact of learning modality on team-based learning (TBL) outcomes in anatomical sciences education
<p>Team-based learning (TBL) is an instructional methodology that has been increasingly used in anatomy and physiology education in recent years. The appropriateness of TBL methods for students with diverse preferred sensory learning modalities has not been adequately examined. This study aimed to show the influence of students preferred sensory modality for learning on TBL and traditional academic outcome measures (tests, assignments, etc.). 157 American undergraduate Communication Sciences and Disorders students taking anatomy and physiology courses took the VARK, a questionnaire quantifying their preferred learning modality. These students traditional and TBL measures of academic success were compared by preferred learning modality. A one-way MANOVA failed to find any difference in TBL or other academic outcomes by preferred learning modality (<em>p</em> = .252). The results of this study support the effectiveness of TBL methods for undergraduate students regardless of what sensory mode they prefer to receive information</p>
Exploring the inclusion of dental providers on interprofessional healthcare teams treating patients with chronic obstructive pulmonary disease: a rapid review
<p>Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the world. Emerging concepts like One Health, integrated models for COPD, and associations between oral and respiratory health are innovative ways to approach COPD treatment. This study explored contemporary evidence on the inclusion of dental providers on interprofessional healthcare teams treating patients with COPD. The first objective was to explore the current state of interprofessional care for COPD treatment, and the second objective was to explore dentistry used in interprofessional care scenarios. A rapid review was conducted from March–June 2020 using Scopus and PubMed. Upon assessing for duplication and relevance, 85 articles remained for Objective 1, and 194 for Objective 2. The literature strongly suggests that dental providers should be included on interprofessional healthcare teams to best approach COPD as a multi-morbid, chronic disease. The papers collected for review claim that educational and clinical hospital programs should implement interprofessional collaboration when treating chronic diseases. Healthcare teams can utilize the expertise of professionals outside the medical field to better understand their patients' needs. Healthcare administration should consult a One Health framework when developing COPD treatment guidelines. These proposed recommendations are feasible and transferable to the Canadian healthcare system; however, it is anticipated that implementation will be gradual. The collaborative nature of a One Health approach exposes novel ways to develop treatment guidelines that effectively address the burden of COPD.</p>
Co-authoring graphs of research teams in a laboratory in computer science
<p>Our aim is to study inter-organisational collaborations initiated by researchers in their research activity. We considered the co-authoring graph involving at least researchers from LORIA (<a href="https://www.loria.fr/fr/">https://www.loria.fr/fr/</a>), a French laboratory in computer science.</p> <p>The dataset is collected from the open French archive HAL (<a href="https://data.archives-ouvertes.fr/">https://data.archives-ouvertes.fr/</a>).</p> <p>Each file encodes (in <a href="http://www.graphviz.org/about/">DOT</a>) the co-authoring graph of a team of LORIA. A node represents a researcher, two nodes are linked only if the corresponding researchers published together over the three considered years 2017, 2018 and 2019. An affiliation attribute is attached to each considered node.</p> <p>The name of researchers and the teams as well as the HAL:id are anonymised. Only affiliations remain the same.</p>
Data from: Economic evaluation of a general hospital unit for older people with delirium and dementia (TEAM randomised controlled trial)
Background: One in three hospital acute medical admissions is of an older person with cognitive impairment. Their outcomes are poor and the quality of their care in hospital has been criticised. A specialist unit to care for older people with delirium and dementia (the Medical and Mental Health Unit, MMHU) was developed and then tested in a randomised controlled trial where it delivered significantly higher quality of, and satisfaction with, care, but no significant benefits in terms of health status outcomes at three months. Objective: To examine the cost-effectiveness of the MMHU for older people with delirium and dementia in general hospitals, compared with standard care. Methods: Six hundred participants aged over 65 admitted for acute medical care, identified on admission as cognitively impaired, were randomised to the MMHU or to standard care on acute geriatric or general medical wards. Cost per quality adjusted life year (QALY) gained, at 3-month follow-up, was assessed in trial-based economic evaluation (599/600 participants, intervention: 309). Multiple imputation and complete-case sample analyses were employed to deal with missing QALY data (55%). Results: The total adjusted health and social care costs, including direct costs of the intervention, at 3 months was £7714 and £7862 for MMHU and standard care groups, respectively (difference -£149 (95% confidence interval [CI]: -298, 4)). The difference in QALYs gained was 0.001 (95% CI: -0.006, 0.008). The probability that the intervention was dominant was 58%, and the probability that it was cost-saving with QALY loss was 39%. At £20,000/QALY threshold, the probability of cost-effectiveness was 94%, falling to 59% when cost-saving QALY loss cases were excluded. Conclusions: The MMHU was strongly cost-effective using usual criteria, although considerably less so when the less acceptable situation with QALY loss and cost savings were excluded. Nevertheless, this model of care is worthy of further evaluation.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.