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42 results for “clinical decision-making”
Comparing Artificial Intelligence and Physicians: A Vignette-Based Study in Pediatric Clinical Decision-Making
ClinicalTrials.gov study NCT07179861. IPD Sharing: NO. Countries: 1. Publications: 5.
Dynamic Evolution of Pulmonary Nodules and Influence Factors of Its Clinical Decision-making
ClinicalTrials.gov study NCT04857333. IPD Sharing: NO. Countries: 1. Publications: 2.
Dataset of Correlation of clinical decision-making with probability of disease: A web-based study among general practitioners
<p>In databases we find the following information:</p> <p>- the true probability of the disease in the clinical vignette<br> - the probability of the disease estimated by the general practitioner (GP) in the clinical vignette<br> - the clinical decision of the general practitioner<br> - the baseline characteristics of the participants</p>
Acute Appendicitis: The Influence of C-reactive Protein and Leucocytes on Clinical Decision-making
ClinicalTrials.gov study NCT02304653. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Clinical Decision-Making and Virtual Reality Exercise
ClinicalTrials.gov study NCT05375201. IPD Sharing: NO. Countries: 1. Publications: 1.
Motivations, Expectations, and Decision-making of Sickle Cell Patients in Clinical Research
ClinicalTrials.gov study NCT03709303. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Personalized Medicine Decision-Making in a Virtual Clinical Setting
ClinicalTrials.gov study NCT02108041. IPD Sharing: NO. Countries: 1. Publications: 2.
Education Program on Evidence-based Practices on Nurses' Competencies and Clinical Decision-Making Levels
ClinicalTrials.gov study NCT06569407. IPD Sharing: YES. Countries: 1. Publications: 3.
Clinical Outcomes and Decision-making Choice of Skull Base Approaches for Petroclival Meningiomas
ClinicalTrials.gov study NCT06319664. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical Decision-making, Prognosis, Quality of Life and Satisfaction in Relapsed/Refractory Multiple Myeloma
ClinicalTrials.gov study NCT03190525. IPD Sharing: UNDECIDED. Countries: 2. Publications: 2.
Prospective Study of the Prosigna Assay on Neoadjuvant Clinical Decision-making in Women With HR+/Her2- Breast Cancer
ClinicalTrials.gov study NCT03749421. IPD Sharing: NO. Countries: 1. Publications: 1.
Parental Permission and Adolescent Assent and Decision-Making in Clinical Research
ClinicalTrials.gov study NCT00571311. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: Patient factors that influence decision-making in self-management support: a clinical vignette study
Background and aim: Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals' decision making regarding self-management support. Method: A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. Results: The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. Conclusion: This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient's motivation; unmotivated patients were less likely to receive self-management support. Future tailored interventions should incorporate strategies to enhance motivation in unmotivated patients. Furthermore, care providers should be better equipped to promote motivational change in their patients.
Decision-Making of Hispanics and African-Americans With HIV/AIDS Participating in Clinical Trials
ClinicalTrials.gov study NCT00394004. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Impact of AI-Supported Teaching on Clinical Decision-Making in Nursing Students
ClinicalTrials.gov study NCT06999447. IPD Sharing: NO. Countries: 1. Publications: 0.
Artificial Intelligence in Trapeziometacarpal Joint Osteoarthritis: Improving Assessment and Clinical Decision-Making
ClinicalTrials.gov study NCT07148349. IPD Sharing: NO. Countries: 1. Publications: 0.
Bioimpedance and Hand-held Echocardiographay for Clinical Decision-making in Treatment of Cardio-renal Syndrome Type I
ClinicalTrials.gov study NCT02959281. IPD Sharing: NO. Countries: 0. Publications: 1.
Data from: Patient factors that influence decision-making in self-management support: a clinical vignette study
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Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
ClinicalTrials.gov study NCT06684418. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Outcomes of CT-FFR Versus QFR-guided Strategy for Decision-Making in Patients With Stable Chest Pain
ClinicalTrials.gov study NCT05857904. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.