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19 results for “Routinely collected data”
Risk of bias in observational studies using routinely collected data of comparative effectiveness research: a meta-research study
<p>We performed a meta-research study by searching PubMed for comparative effectiveness observational studies evaluating therapeutic interventions using routinely collected data published in high impact factor journals from 01/06/2018 to 30/06/2020. We assessed the reporting of study design (i.e., eligibility, treatment assignment, and the start of follow-up). Risk of selection bias and immortal time bias was determined by assessing if the time of eligibility, treatment assignment and the start of follow-up were synchronised to mimic the randomisation following the target trial emulation framework.</p>
Data from: Using routinely collected laboratory data to identify high rifampicin-resistant tuberculosis burden communities in the Western Cape Province, South Africa: a retrospective spatiotemporal analysis
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Data from: Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data.
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Patient or family perceived deterioration in functional status and outcome after Intensive Care admission: a retrospective cohort analysis of routinely collected data
<p><span><span><span><span><span><span><span><span><span><span><span>Objective: To explore the association of patient or family reported functional deterioration (defined by a single question) in the preceding year, with mortality outcome for those admitted to the Intensive Care Unit (ICU).</span></span></span></span></span></span></span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span><span><span><span><span><span><span>Design: Retrospective observational analysis of a routinely collected data source.</span></span></span></span></span></span></span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span><span><span><span><span><span><span>Participants: Patients that were admitted to the ICU at Northwick Park Hospital, London North West University Healthcare NHS Trust between 1/10/2017 to 15/6/2019 were included. Patients were excluded if they had a prior ICU admission during the existing hospital episode or if information on functional deterioration could not be retrieved from either the patient or their advocate.</span></span></span></span></span></span></span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span><span><span><span><span><span><span>Primary Outcomes: Mortality at the point of hospital discharge and 1 year following admission to the ICU.</span></span></span></span></span></span></span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span><span><span><span><span><span><span>Results: Of the 1006 patients who were admitted to the ICU during the study period, information on functional deterioration was available for 621 patients who were included in the analysis. From these, 251 (40.4%) patients had patient or family reported functional deterioration in the preceding year, whilst 370 (59.6%) patients had a perceived stable functional baseline. Comparing the two groups, mortality was significantly higher in those who had functionally deteriorated compared to those with stable baseline function, at the point of hospital discharge (45.4% versus 25.9%; P<0.0001) and at 1 year (59.4% versus 33.0%; P<0.0001). </span></span></span></span></span></span></span></span></span></span></span></p> <p> </p> <p><span><span><span><span><span><span><span><span><span><span><span>Conclusion: Patient or family reported functional deterioration was significantly associated with higher mortality at the point of hospital discharge and at 1 year. The concept of functional deterioration in the lead up to ICU admission warrants further exploration.</span></span></span></span></span></span></span></span></span></span></span></p>
Data from: The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement: methods for arriving at consensus and developing reporting guidelines
Objective: Routinely collected health data, collected for administrative and clinical purposes, without specific a priori research questions, are increasingly used for observational, comparative effectiveness, health services research, and clinical trials. The rapid evolution and availability of routinely collected data for research has brought to light specific issues not addressed by existing reporting guidelines. The aim of the present project was to determine the priorities of stakeholders in order to guide the development of the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. Methods: Two modified electronic Delphi surveys were sent to stakeholders. The first determined themes deemed important to include in the RECORD statement, and was analyzed using qualitative methods. The second determined quantitative prioritization of the themes based on categorization of manuscript headings. The surveys were followed by a meeting of RECORD working committee, and re-engagement with stakeholders via an online commentary period. Results: The qualitative survey (76 responses of 123 surveys sent) generated 10 overarching themes and 13 themes derived from existing STROBE categories. Highest-rated overall items for inclusion were: Disease/exposure identification algorithms; Characteristics of the population included in databases; and Characteristics of the data. In the quantitative survey (71 responses of 135 sent), the importance assigned to each of the compiled themes varied depending on the manuscript section to which they were assigned. Following the working committee meeting, online ranking by stakeholders provided feedback and resulted in revision of the final checklist. Conclusions: The RECORD statement incorporated the suggestions provided by a large, diverse group of stakeholders to create a reporting checklist specific to observational research using routinely collected health data. Our findings point to unique aspects of studies conducted with routinely collected health data and the perceived need for better reporting of methodological issues.
Retrospective Data Collection of Routine Use With Spectra Optia® for Platelet Depletions
ClinicalTrials.gov study NCT02308787. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Data Collection of Routine Clinical Use With the Spectra Optia® Apheresis System for White Blood Cell Depletion
ClinicalTrials.gov study NCT02302365. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Data from: The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement: methods for arriving at consensus and developing reporting guidelines
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Patient or family perceived deterioration in functional status and outcome after Intensive Care admission: a retrospective cohort analysis of routinely collected data
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Utility of routinely collected electronic health records data to support effectiveness evaluations in Inflammatory Bowel Disease: A pilot study of Tofacitinib
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Evaluation of Parameters Collected From Routine Data for the Diagnosis of Sepsis and Septic Shock and Their Influence on Time to Diagnosis and Patient Outcome
ClinicalTrials.gov study NCT05383963. IPD Sharing: NO. Countries: 1. Publications: 0.
A Prospective Registry to Enable Collection of Standardized Routine Care Oncology Patient Data
ClinicalTrials.gov study NCT06877884. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Risk Score for Prediction of Gestational Diabetesmellitus in China Using Routinely Collected Hospital Data
ClinicalTrials.gov study NCT07160920. IPD Sharing: NO. Countries: 1. Publications: 0.
Study for Collection of Aflibercept Data in Routine Practice
ClinicalTrials.gov study NCT02811692. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Routinely Collected Clinical Data and Evaluation of Antimicrobial Target Attainment
ClinicalTrials.gov study NCT06427317. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Study to Collect in a Real-world populatIon Data on the Treatment Pattern of Secukinumab in Adult Patients With Moderate to Severe Hidradenitis Suppurativa (HS) in Routine Clinical Practice in the Rus
ClinicalTrials.gov study NCT06517732. IPD Sharing: NO. Countries: 1. Publications: 0.
A Study to Collect Data on the Treatment Pattern of Xarelto + Acetylsalicylic Acid in the Routine Clinical Practice in Patients Who Are Suffering From a Condition That Narrows the Blood Vessels Supply
ClinicalTrials.gov study NCT04401761. IPD Sharing: NO. Countries: 10. Publications: 0.
Predicting Nurse Staffing Requirements From Routinely Collected Data
ClinicalTrials.gov study NCT06923943. IPD Sharing: NO. Countries: 0. Publications: 0.
Data Collection of PillCamTM SB3 Capsule Endoscopy and Device-Assisted Enteroscopy Routine Care Procedures (GPS Study)
ClinicalTrials.gov study NCT05450393. IPD Sharing: NO. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.