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88 results for “cross-sectional survey”

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dryad24/100

Data from: Specialty choice in times of economic crisis: a cross-sectional survey of Spanish medical students

Open the record for dataset details and reuse information.

publicFeb 2013View details →
ClinicalTrials.gov20/100

A Cross-Sectional Survey to Evaluate Diabetes Management, Control, Complications, Psychosocial Aspects of Patients With Type 2 Diabetes in Sri Lanka

ClinicalTrials.gov study NCT01957592. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo16/100

Data set of Sepsis awareness at the university hospital level: a survey-based cross-sectional study

<p><strong>This is the dataset for the SAfE survey</strong></p> <p>We conducted a survey on nurses and physicians distributed over all adult departments of the Lausanne University Hospital (LUH) and local paramedics. The survey aimed to assess professionals&rsquo; demographics (age, profession, seniority, unit of activity), prior sepsis education, perceptions, knowledge of sepsis epidemiology, definition, recognition and management. Correlation between surveyed personel&nbsp; and&nbsp; sepsis perceptions and knowledge were assessed with univariate logistic regression models.</p> <p><strong>Methods:</strong></p> <p>The research team designed a survey inspired from previously published surveys assessing knowledge and awareness of sepsis.</p> <p>The questions were tailored to the profession (clinical scenario adapted activity sector - medicine, surgery, emergency department or gynecology). The survey was written and completed in French. Each section of the survey (paramedics&rsquo;, nurses&rsquo; and physicians&rsquo; section) was submitted to three focus groups consisting of 3 to 6 participants of each profession, commonly involved in care of patients with sepsis. These focus groups assessed the applicability and appropriateness (validity) of the survey. The focus group were constituted of nurses, physicians and paramedics of all seniority levels. Their primary task was in assessing whether formulations and relevance of questions were adequate.&nbsp; The survey was revised using feedback from the groups. Surveys of nursing staff and paramedics were more focused on screening, initial evaluation and early management whereas physicians were also tested on diagnosis and management. Responses options included Likert-type scales, binary (e.g. &ldquo;yes/no&rdquo;) or multiple choices. Each question was locked upon answering, which prevented post hoc changes that could be influenced by information provided at a later stage of the survey. The final survey contained questions on participants&rsquo; demographic characteristics (5/7/6 questions for nurses/paramedics/physicians), sepsis continuous education (3/3/3 questions), self-evaluation of sepsis knowledge and clinical management (2/2/2 questions), definitions, scores and epidemiology (11/12/14 questions), and sepsis management (4/4/5 questions). The survey was developed in REDCap (Research Electronic Data Capture) software so as to automatically export participants&rsquo; responses to a database.&nbsp;Surveys are provided as supplementary material (supp. meth. survey).</p> <p>Participants were recruited between January 20 and October 10, 2020. We aimed for a convenience sample size of 1,000 persons (approx. 20% of the active HCPs) distributed over all departments (Emergency department (ED), intensive care unit (ICU), Medicine, Paramedic, Psychiatry, or Surgery) and professions (paramedics, nurses and physicians) to reach 20% of LUH staff considered HCPs, being as representative as possible. Pediatrics and neonatology staff (not covered by Sepsis-3 consensus definitions) as well as nurses and physicians not in daily contact with patients (i.e., who were working in research team or in administration) were excluded. We favored a supervised approach rather than a dissemination of the survey to all HCPs by email. Participants answered the online survey under trained interviewer supervision so as maximize data quality and to avoid biased responses (internet queries, discussions between colleagues). Furthermore, to avoid multiple answers by a same HCP, surveys were accessed by QR-code only available at screening; timing of survey completion was registered and email addresses were registered.</p> <p>Thus, participants were screened &nbsp;amongst the medical (n=1664) and nursing staff (n=2463) in daily contact with patients of LUH and amongst paramedics of the Canton of Vaud (n=290) during the screening period. Screening by trained interviewers took place during scheduled patient hand-offs, seminars or group meetings, as permitted by heads of units. Participation was voluntary and anonymous. Participants completed the online survey using tablets or smartphones (participants&rsquo; or provided by the investigators).</p> <p><strong>Results:</strong></p> <p>Between January and October 2020, 1,116 of 1,216 contacted professionals completed the survey (participation rate 91.8%). These participants represented about 25% of the workforce (n=4417) &ndash; i.e., 25.1% of nurses (619/2,463), 20.9 % of physicians (348/1,664),and 51.4% of paramedics (149/290). Only 13% of participants (physicians: 28.4%, nurses: 5.9%, paramedics: 6.8%) correctly identified the Sepsis-3 consensus definition. Similarly, less than 50% of participants (physicians: 48.6%, nurses: 10.0%) selected the SOFA score as a sepsis defining score for infected patients. Furthermore, 24% of participants properly identified the qSOFA score as a predictor of increased mortality; and 6% selected correctly its components. For a suspected sepsis, 96.1%, 91.6% and 75.8% of physicians respectively chose blood cultures, broad-spectrum antibiotics and fluid resuscitation as required interventions; 76.4% and 18.2% of physicians requested initial measures within 1 and 3 hours, respectively. For physicians, recent training correlated with awareness regarding definitions, SOFA and qSOFA score use and components: ORs (95%CI) 2.2 (1.4-3.6), 4.3 (2.7-6.7), 3.4 (2.2-5.2), and 2.6 (1.5-4.6), respectively).</p> <p><strong>Conclusions:</strong></p> <p>We identify a deficit of awareness among physicians, nurses and paramedics at LUH correlating with a lack of sepsis-specific training.</p>

restrictedAug 2022View details →
zenodo12/100

Dataset for Physician Preparedness for Resource Allocation Decisions Under Pandemic Conditions: A Cross-Sectional Survey of Canadian Physicians, April 2020

<p>Survey responses.&nbsp;</p>

restrictedAug 2020View details →
zenodo12/100

Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081.

<p>Data set from Dellafiore F, Caruso R, Arrigoni C, Flocco SF, Giamberti A, Chessa M. Lifestyles and determinants of perceived health in Italian grown-up/adult congenital heart patients: a cross-sectional and pan-national survey. BMJ Open. 2019 Oct 18;9(10):e030917. doi: 10.1136/bmjopen-2019-030917. PMID: 31630105; PMCID: PMC6803081.</p> <p>&nbsp;</p> <p>This is the abstract:</p> <p><strong>Objectives:&nbsp;</strong>To provide the first epidemiological lifestyle descriptions of the Italian grown-up/adult congenital heart disease (GUCH/ACHD) population by identifying the determinants of poor perceived health status.</p> <p><strong>Design:&nbsp;</strong>Cross-sectional pan-national survey.</p> <p><strong>Setting:&nbsp;</strong>Italian GUCH/ACHD patients who were members of the Italian Association of GUCH/ACHD.</p> <p><strong>Primary and secondary outcome measures:&nbsp;</strong>To discuss these lifestyle descriptions through an ad hoc developed questionnaire and health perceptions (ie, mental and physical health perception) through a short form health survey (SF-12).</p> <p><strong>Results:&nbsp;</strong>629 patients included; many investigated GUCH/ACHD lifestyles were determined similar to those of the general population - with the exception of the smoking habits, which were lower. The odds of the occurrence of inadequate physical health perceptions increased by more than two times in patients undergoing antiarrhythmic therapies (OR adjusted=2.045; 95% CI=1.201 to 3.479; p=0.008; n=629), more than 1.5 times in patients taking oral anticoagulants (OR adjusted=1.638; 95% CI=1.038 to 2.585; p=0.034; n=629) and roughly 1.7 times in patients treated with antiplatelets (OR adjusted=1.743; 95% CI=1.024 to 2.966; p=0.041; n=629). The odds of the occurrence of inadequate mental health perceptions increased by 1.7% for every year that the patients aged (OR adjusted=1.017; 95% CI=1.002 to 1.032; p=0.025; n=629).</p> <p><strong>Conclusion:&nbsp;</strong>Particular attention should be paid to these ageing patients&#39; increasing psychological needs, and additional research is needed to identify associations between their lifestyles and clinical outcomes.</p> <p>&nbsp;</p>

restrictedSep 2020View details →
zenodo12/100

The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients

<p>The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients</p> <p>Objective Various studies have shown that overweight and obesity are central features of FM, but<br> the real impact of a high BMI on clinical severity in patients with FM is still controversial. The aim of<br> this study was to analyse the relationships between BMI categories and measures of symptom severity<br> and functional impairment using data from a Web-based registry of patients with FM.<br> Methods Adult patients with an ACR 2010/2011 diagnosis of FM underwent a complete physical examination<br> and laboratory tests and were asked to complete a package of questionnaires covering their<br> sociodemographic and treatment details, in addition to the following disease-specific questionnaires:<br> the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status<br> questionnaire (ModFAS) and the Polysymptomatic Distress Scale (PDS).<br> Results A total of 2339 patients were recruited and divided into two weight categories, underweight/<br> normal (U/N, n&frac14;1127, 48.2%) and overweight/obese (O/O, n&frac14;1212, 51.8%). The total and subscales&nbsp;significantly higher in the O/O patients, as were all the mean scores of the individual FIQR items<br> (P&lt;0.001 for all).<br> Conclusion Our findings demonstrate that O/O patients with FM are significantly more impaired than<br> U/N patients in all the symptomatological and functional domains as measured using the FIQR,<br> ModFAS and PDS, thus suggesting that being O/O has an additional effect on symptoms and<br> function.</p>

restrictedDec 2021View details →
zenodo8/100

Well-Being and PTSD in German emergency medical services – a nationwide cross-sectional survey

<p>In a nationwide German cross-sectional questionnaire survey we collected data on ambulance workers to search for indicators of depression, PTSD and possible underlying risk factors.</p> <p>We used the 5-item World Health Organization Well-Being Index (WHO-5) and the Short Screening Scale for DSM-IV-PTSD to assess well-being and search for indicators of depression and PTSD.</p> <p>This file contains the underlying data set as a result of the online questionnaire.</p>

restrictedJan 2019View details →
zenodo8/100

Prevalence, Motivations for Participation and Predictors of Sports Betting among College Nursing Students in Northern Region of Ghana: An Institution-Based Cross-Sectional Survey.

<p>Mudasir Mohammed Ibrahim is a conscientious Professional Registered General Nurse who is skilled in providing exceptional care to patients with healthcare needs to maintain their health, safety and development. In the realm of nursing, he has developed a special interest in the area of research and development. Though this journey began while he was in college, he has learned that the answer to a problem is always research. Fortunate enough, he has been working with other researchers in the publication of projects to international journals with success and gradually building research knowledge as well as skills. He is currently reading Bachelor of Science in Nursing at University of Cape Coast (UCC, Ghana). He currently resides in Tamale, Northern Region of Ghana.</p> <p>&nbsp;</p>

restrictedApr 2023View details →

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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