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526
datasets available to search
ShareScore release 0.9.0
Dataset results
526 results for “management interventions”
A TargEted MAnageMent Intervention for Reducing Stroke Risk Factors in High Risk Ugandans
ClinicalTrials.gov study NCT04685408. IPD Sharing: YES. Countries: 1. Publications: 2.
Progressive Intervention Program for Tinnitus Management
ClinicalTrials.gov study NCT00371436. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Sleep Shared-Management Intervention for Children With Juvenile Idiopathic Arthritis
ClinicalTrials.gov study NCT04066205. IPD Sharing: NO. Countries: 1. Publications: 1.
Efficacy and Safety of Diazepam in the Management of Refractory Epilepsy in Selected Patients Who Require Intermittent Medical Intervention for Acute Repetitive Seizures.
ClinicalTrials.gov study NCT00319501. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Interventional Management of Stroke (IMS) III Trial
ClinicalTrials.gov study NCT00359424. IPD Sharing: Not stated. Countries: 8. Publications: 18.
Deposit Contracts to Increase Accessibility of a Contingency Management Intervention to Reduce Problematic Drinking
ClinicalTrials.gov study NCT05837611. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Free Living Food Waste Management and Diet Quality Improvement Using Smart Intervention and Food Image Application
ClinicalTrials.gov study NCT05061888. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Mind-Body Intervention for Hot Flash Management
ClinicalTrials.gov study NCT03572153. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of a Second-generation Mindfulness-based Intervention on Quality of Life, Pain Management, and Psycho-spiritual Wellbeing in Cancer Patients: A Randomised Controlled Trial
ClinicalTrials.gov study NCT06695234. IPD Sharing: YES. Countries: 1. Publications: 8.
Pharmacological and Non-pharmacological Interventions in Management of Venipuncture Pain.
ClinicalTrials.gov study NCT04275336. IPD Sharing: NO. Countries: 1. Publications: 1.
Effect of Multi-modal Intervention Care on Cachexia in Patients With Advanced Cancer Compared to Conventional Management (MIRACLE)
ClinicalTrials.gov study NCT04907864. IPD Sharing: YES. Countries: 1. Publications: 1.
Effect of a Self-Management Intervention for Patients Newly Diagnosed With Inflammatory Arthritis: The NISMA Trial
ClinicalTrials.gov study NCT06533423. IPD Sharing: NO. Countries: 1. Publications: 1.
Floor-hugging Intervention: Managing Fear of Falling Through Floor Exposure and Developing After-fall Contingency
ClinicalTrials.gov study NCT06815809. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
Adapting an Evidenced-based Weight Management Intervention and Testing Strategies to Increase Implementation in Community Mental Health Programs
ClinicalTrials.gov study NCT03454997. IPD Sharing: YES. Countries: 1. Publications: 1.
Promoting Asthma Guidelines and Management Through Technology-Based Intervention and Care Coordination
ClinicalTrials.gov study NCT03066596. IPD Sharing: NO. Countries: 1. Publications: 114.
Experimental evidence that novel land management interventions inspired by history enhance biodiversity
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Habitat management interventions for a specialist mid- successional grassland butterfly, the Lulworth Skipper
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Passive acoustic monitoring indicates Barred Owls are established in northern coastal California and management intervention is warranted
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Data from: A Decision Support System for assessing management interventions in a Mental Health ecosystem: the case of Bizkaia (Basque Country, Spain)
Evidence-informed strategic planning is a top priority in Mental Health (MH) due to the burden associated with this group of disorders and its societal costs. However, MH systems are highly complex, and decision support tools should follow a systems thinking approach that incorporates expert knowledge. The aim of this paper is to introduce a new Decision Support System (DSS) to improve knowledge on the health ecosystem, resource allocation and management in regional MH planning. The Efficient Decision Support-Mental Health (EDeS-MH) is a DSS that integrates an operational model to assess the Relative Technical Efficiency (RTE) of small health areas, a Monte-Carlo simulation engine (that carries out the Monte-Carlo simulation technique), a fuzzy inference engine prototype and basic statistics as well as system stability and entropy indicators. The stability indicator assesses the sensitivity of the model results due to data variations (derived from structural changes). The entropy indicator assesses the inner uncertainty of the results. RTE is multidimensional, that is, it was evaluated by using 15 variable combinations called scenarios. Each scenario, designed by experts in MH planning, has its own meaning based on different types of care. Three management interventions on the MH system in Bizkaia were analysed using key performance indicators of the service availability, placement capacity in day care, health care workforce capacity, and resource utilisation data of hospital and community care. The potential impact of these interventions has been assessed at both local and system levels. The system reacts positively to the proposals by a slight increase in its efficiency and stability (and its corresponding decrease in the entropy). However, depending on the analysed scenario, RTE, stability and entropy statistics can have a positive, neutral or negative behaviour. Using this information, decision makers can design new specific interventions/policies. EDeS-MH has been tested and face-validated in a real management situation in the Bizkaia MH system.
Feasibility and acceptability of a tailored health coaching intervention to improve type 2 diabetes self-management in Saudi Arabia: A mixed-methods randomised feasibility trial
<p><em>Background:</em> Around a third of the population of Saudi Arabia have been diagnosed with Type 2 diabetes, a condition often requiring lifestyle changes. Personalised health coaching, a strategy developed to assist individuals in overcoming challenges to adopt healthy behaviours, has not yet been widely applied in the country.</p> <p><em>Aims: </em>We aim to explore the feasibility and acceptability of tailored health coaching in Saudi Arabia, in order to help those with Type 2 diabetes to more effectively manage their condition.</p> <p><em>Methods:</em> Using a mixed-methods approach, this research involved a randomised controlled trial with 30 Saudi adults who have Type 2 diabetes. They were randomly allocated into either the intervention or control arm for 12 weeks. The Capability, Opportunity, Motivation, and Behaviour framework was used to guide the intervention implementation along with the Behaviour Change Techniques Taxonomy version 1. The primary goal was to assess the suitability and duration of the intervention, recruitment, retention, and completion rates. The secondary outcome focused on the preliminary efficacy of the health coaching measured by the glycaemic index, blood pressure, body mass index, waist circumference, weight, patient self-efficacy, and diabetes self-management.</p> <p><em>Results:</em> The results showed high rates of eligibility, recruitment, and retention (a screening rate of 90%, a recruiting rate of 79%, and a retention rate of 97%). Notable improvements were observed in the health coaching group across five outcomes: HbA1c, BMI, waist circumference, patient self-efficacy, and diabetes self-care. Qualitative findings highlighted the participants' perceived benefits from the intervention, including enhanced motivation, better understanding of diabetes management, and a supportive coaching relationship. Participants expressed high satisfaction with the intervention and advocated for its expansion.</p> <p><em>Conclusion:</em> The findings demonstrated positive outcomes, supporting the need for a larger randomised controlled trial to evaluate the efficacy of health coaching in improving diabetes self-management among individuals with Type 2 diabetes.</p>
ScienceDex guides
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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.