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89 results for “national health”

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ClinicalTrials.gov32/100

National Children s Health Study

ClinicalTrials.gov study NCT00852904. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Linking National Guard Veterans With Need to Mental Health Care

ClinicalTrials.gov study NCT01156727. IPD Sharing: Not stated. Countries: 1. Publications: 8.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Influence of Social Determinants of Health on the Management of HCC in the French National Cohort Study CHIEF

ClinicalTrials.gov study NCT05128123. IPD Sharing: NO. Countries: 1. Publications: 8.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

National Health and Nutrition Examination Survey 24-hour Urine Collection Feasibility Study, 2013

ClinicalTrials.gov study NCT02723682. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Does the National Health Insurance Card Allow us to Predict Antibiotic Resistance?

ClinicalTrials.gov study NCT02292160. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Breast Cancer Registry - National University Health System, Singapore

ClinicalTrials.gov study NCT01247441. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Impact of Vaccine Funding by the National Health Insurance on Vaccination Coverage Among Patients Targeted by Current Vaccination Recommendations and Followed in Outpatient Consultations

ClinicalTrials.gov study NCT07243236. IPD Sharing: Not stated. Countries: 1. Publications: 16.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Natural History of Post-Coronavirus Disease 19 Convalescence at the National Institutes of Health

ClinicalTrials.gov study NCT04573062. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

National Survey of Mental Health After COVID-19 Outbreak

ClinicalTrials.gov study NCT04896983. IPD Sharing: YES. Countries: 1. Publications: 7.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

MIND/COVID-19: Mental Health Impact and NeeDs Associated With COVID-19: a Comprehensive National Evaluation in Spain

ClinicalTrials.gov study NCT04556565. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Retrospective Review of Liver Resection Rate in Metastatic Colorectal Cancer Patients Following Downsizing Treatment With Chemotherapy Plus Cetuximab in Normal UK National Health Service Clinical Pr

ClinicalTrials.gov study NCT01460745. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey

Open the record for dataset details and reuse information.

publicOct 2016View details →
zenodo28/100

Code and data used in "Health co-benefits of sub-national renewable energy policy in the US"

<p>Archive of modeling, inputs, and results.</p>

opencc-by-4.0Jan 2020View details →
dryad28/100

Metabolic syndrome and risk of lung cancer: An analysis of Korean National Health Insurance Corporation database

<p>Introduction: Metabolic syndrome is known to increase the risk of several cancers. However, the association between lung cancer and metabolic syndrome remains unclear. Thus, we investigated the impact of metabolic syndrome on the incidence of lung cancer.</p> <p>Methods: This study enrolled participants in a health screening program provided by the Korean National Health Insurance Service between January 2009 and December 2012. The incidence of lung cancer was observed until December 2016. We analyzed the risk of lung cancer according to the presence of metabolic syndrome, metabolic syndrome components, and number of metabolic syndrome components.</p> <p>Results: During the study, 45,635 new cases of lung cancer were recorded among 9,586,753 participants. The presence of metabolic syndrome and all its components was positively associated with the risk of lung cancer in males after multivariate adjustment (hazard ratio (HR) of metabolic syndrome 1.15, 95% confidence interval (CI) = 1.12–1.18). The risk of lung cancer increased with the number of components present. The effect of metabolic syndrome on the increasing risk of lung cancer is may be higher in underweight male ever smokers than in other participants.</p> <p>Conclusion: Metabolic syndrome was associated with an increased risk of lung cancer in males. Moreover, the higher the number of metabolic syndrome components, the higher the risk of lung cancer.</p>

opencc-zeroSep 2020View details →
dryad28/100

Data from: Anxiety and depressive symptoms are associated with poor sleep health during a period of COVID-19 induced nation-wide lockdown: a cross-sectional analysis of adults in the Middle East

<p><strong>Background</strong>: Jordan, a Middle Eastern country, declared a state of national emergency due to the novel coronavirus (COVID-19) and a strict nation-wide lockdown on March 17, 2020, banning all travel and movement around the country, potentially impacting mental health. This study sought to investigate the association between mental health (e.g., anxiety and depressive symptoms) and sleep health among a sample of Jordanians living through a state of COVID-19 induced nation-wide lockdown.</p> <p><strong>Methods</strong>: Using Facebook, participants (N=1,240) in Jordan in March 2020 were recruited and direct to a web-based survey measuring anxiety (items from GAD-7 instrument), depressive symptoms (items from DES-10), sleep health (items from the PSQI), and sociodemographic. A modified Poisson regression model with robust error variance. Adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated to examine how anxiety and depressive symptoms may affect different dimensions of sleep health: 1) poor sleep quality, 2) short sleep duration, 3) encountering sleep problems.</p> <p><strong>Results</strong>: The majority of participants reported having experienced mild (33.8%), moderate (12.9%), or severe (6.3%) levels of anxiety during lockdown, and nearly half of respondents reported depressive symptoms during lockdown. Similarly, over 60 percent of participants reported having experienced at least one sleep problem in the last week, and nearly half reported having had short sleep duration. Importantly, Anxiety was associated with poor sleep health outcomes. For example, corresponding to the dose-response relationship between anxiety and sleep health outcomes, those reporting severe anxiety were the most likely to experience poor sleep quality (aPR =8.95; 95% CI =6.12–13.08), short sleep duration (aPR =2.23; 95% CI = 1.91–2.61), and at least one problem sleep problem (aPR = 1.73; 95% CI = 1.54–1.95). Moreover, depressive symptoms were also associated with poor sleep health outcomes. As compared to scoring in the first quartile, scoring fourth quartile was associated with poor sleep quality (aPR = 11.82; 95% CI = 6.64 – 21.04), short sleep duration (aPR = 1.87; 95% CI = 1.58–2.22), and experiencing at least one sleep problem (aPR = 1.90; 95% CI = 1.66 – 2.18).</p> <p><strong>Conclusions</strong>: Increased levels of anxiety and depressive symptoms can negatively influence sleep health among a sample of Jordanian adults living in a state of COVID-19<br> induced nation-wide lockdown.</p>

opencc-zeroNov 2020View details →
dryad28/100

Data from: Health IT, hacking, and cybersecurity: national trends in data breaches of protected health information

Objective: The rapid adoption of health information technology (IT) coupled with growing reports of ransomware, and hacking has made cybersecurity a priority in health care. This study leverages federal data in order to better understand current cybersecurity threats in the context of health IT. Materials and Methods: Retrospective observational study of all available reported data breaches in the United States from 2013 to 2017, downloaded from a publicly available federal regulatory database. Results: There were 1512 data breaches affecting 154 415 257 patient records from a heterogeneous distribution of covered entities (P &lt; .001). There were 128 electronic medical record-related breaches of 4 867 920 patient records, while 363 hacking incidents affected 130 702 378 records. Discussion and Conclusion: Despite making up less than 25% of all breaches, hacking was responsible for nearly 85% of all affected patient records. As medicine becomes increasingly interconnected and informatics-driven, significant improvements to cybersecurity must be made so our health IT infrastructure is simultaneously effective, safe, and secure.

opencc-zeroDec 2017View details →
zenodo28/100

THE ROLE OF THE NATIONAL STRATEGY IN DIGITALIZING THE WORLD HEALTH SYSTEM

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
dryad28/100

Regional variation in national healthcare expenditure and health system performance in central cities and suburbs in Japan

<p>The increasing national healthcare expenditure (NHE) with the aging rate is a significant social problem in Japan, and efficient distribution and use of NHE is an urgent issue. It is assumed that comparisons in subregions would be important to explore the regional variation in NHE and health system performance in targeted municipalities of the metropolitan area of Tokyo (central cities) and the neighboring municipalities of Chiba Prefecture (suburbs). This study aimed to clarify the differences of the socioeconomic factors affecting NHE and the health system performances between subregions. A multiple regression analysis was performed to extract the factors affecting the total medical expenses of NHE (Total), comprising the medical expenses of inpatients (MEI), medical expenses of outpatients (MEO), and consultation rates of inpatients (CRI) and outpatients (CRO). Using the stepwise method, dependent variables were selected from three categories: health service, socioeconomic, and lifestyle. Then, health system performance analysis was performed, and the differences between regions were clarified using the Mann–Whitney U test. The test was applied to 18 indicators, classified into five dimensions referred to in the OECD indicators: health status, risk factors for health, access to care, quality of care, and health system capacity and resources. In the central cities, the number of persons per household was the primary factor affecting Total, MEI, MEO, and CRO, and the number of persons per household and the percentage of the entirely unemployed persons primarily affected CRI. In the suburbs, the ratio of the population aged 65–74 and the number of hospital beds were significantly positively related to Total, MEI, and CRI, but the number of workers employed in primary industries was negatively related to Total and MEI. The ratio of the population aged 65–74 was significantly positively related to MEO and CRO. Regarding health system performance, while risk factors for health was high in the central cities, the others, including access to care, quality of care, and health system capacity and resources, were superior in the suburbs, suggesting that the health system might be well developed to compensate for the risks. In the suburbs, while risk factors for health were lower than those in the central cities, access to care, quality of care, and health system capacity and resources were also lower, suggesting that the healthcare system might be poorer. These results indicate a need to prioritize mitigating healthcare disparities in the central cities and promoting the health of the elderly in the suburbs by expanding the suburbs' healthcare systems and resources. This study clarified that the determinants of NHE and health system performance are drastically varied among subregional levels and suggested the importance of precise regional moderation of the healthcare system.</p>

opencc-zeroSep 2022View details →
ClinicalTrials.gov28/100

Study to Evaluate Chronic Myeloid Leukemia Treatment Landscape and Real-life Treatment Outcomes in Hungary: Analysis of National Health Insurance Fund Database

ClinicalTrials.gov study NCT05286528. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Comparison of Patient-reported Outcomes for Rimegepant and Triptans in the 2023 US National Health and Wellness Survey

ClinicalTrials.gov study NCT06680206. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record