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Dataset results
53 results for “claims data”
Claim frequency data and codes
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Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data
<p>Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data</p>
Prediction of the COBRRA AF Anticoagulant Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05256797. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Safety and Effectiveness of Apixaban in Very Elderly Patients With Non-valvular Atrial Fibrillation (NVAF) Compared to Warfarin Using Administrative Claims Data
ClinicalTrials.gov study NCT05438888. IPD Sharing: NO. Countries: 1. Publications: 1.
Effectiveness of BNT162b2 Formulations Using State Vaccine Registry and Insurance Claims Data
ClinicalTrials.gov study NCT06199934. IPD Sharing: NO. Countries: 1. Publications: 2.
High prevalence does not necessarily equal maintenance species: Avoiding biased claims of disease reservoirs when using surveillance data
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Data from: The role of predation and food limitation on claims for compensation, reindeer demography and population dynamics
1. A major challenge in biodiversity conservation is to facilitate viable populations of large apex predators in ecosystems where they were recently driven to ecological extinction due to resource conflict with humans. 2. Monetary compensation for losses of livestock due to predation is currently a key instrument to encourage human–carnivore coexistence. However, a lack of quantitative estimates of livestock losses due to predation leads to disagreement over the practise of compensation payments. This disagreement sustains the human–carnivore conflict. 3. The level of depredation on year-round, free-ranging, semi-domestic reindeer by large carnivores in Fennoscandia has been widely debated over several decades. In Norway, the reindeer herders claim that lynx and wolverine cause losses of tens of thousands of animals annually and cause negative population growth in herds. Conversely, previous research has suggested that monetary predator compensation can result in positive population growth in the husbandry, with cascading negative effects of high grazer densities on the biodiversity in tundra ecosystems. 4. We utilized a long-term, large-scale dataset to estimate the relative importance of lynx and wolverine predation and density-dependent and climatic food limitation on claims for losses, recruitment and population growth rates in Norwegian reindeer husbandry. 5. Claims of losses increased with increasing predator densities, but with no detectable effect on population growth rates. Density-dependent and climatic effects on claims of losses, recruitment and population growth rates, were much stronger than the effects of variation in lynx and wolverine densities. 6. Synthesis and applications. Our analysis provides a quantitative basis for predator compensation and estimation of the costs of reintroducing lynx and wolverine in areas with free-ranging semi-domestic reindeer. We outline a potential path for conflict management which involves adaptive monitoring programs, open access to data, herder involvement, and development of management strategy evaluation (MSE) models to disentangle complex responses including multiple stakeholders and individual harvester decisions.
Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets
Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration (VA), Kaiser Permanente Southern California (KPSC), Manitoba (Canada), and Saskatchewan (Canada). In the VA, KPSC, and Manitoba, we tested the performance of candidate algorithms based on inpatient, outpatient, and disease-modifying therapy (DMT) claims compared to medical records review using sensitivity, specificity, positive and negative predictive values, and interrater reliability (Youden J statistic) both overall and stratified by sex and age. In Saskatchewan, we tested the algorithms in a cohort randomly selected from the general population. Results: The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT claims within a 1-year time period; a 2-year time period provided little gain in performance. Algorithms including DMT claims performed better than those that did not. Sensitivity (86.6%–96.0%), specificity (66.7%–99.0%), positive predictive value (95.4%–99.0%), and interrater reliability (Youden J = 0.60–0.92) were generally stable across datasets and across strata. Some variation in performance in the stratified analyses was observed but largely reflected changes in the composition of the strata. In Saskatchewan, the preferred algorithm had a sensitivity of 96%, specificity of 99%, positive predictive value of 99%, and negative predictive value of 96%. Conclusions: The performance of each algorithm was remarkably consistent across datasets. The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT use within 1 year. We recommend this algorithm as the standard AHC case definition for MS.
Supplements and underlying data for the study: Using Health Claims to Teach Evidence-Based Practice to Healthcare Students: A Mixed Methods Study
<p>Supplements and English translation of the Norwegian data sets, in addition to checklists for the manuscript.</p>
Emulation of the STEP-HFpEF DM Heart Failure Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT06914102. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prediction of the SEPRA Diabetes Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05577728. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Replication of the HORIZON Pivotal Fracture Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04736693. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prediction of the SURPASS-CVOT Cardiovascular Outcome Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT07088718. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prediction of the COBRRA VTE Anticoagulant Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05264168. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the TRITON-TIMI Antiplatelet Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04237922. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Emulation of the SUMMIT Heart Failure Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT06914154. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Replication of the PLATO Antiplatelet Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04237935. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets
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Data from: Patterns and correlates of claims for brown bear damage on a continental scale
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Data from: The role of predation and food limitation on claims for compensation, reindeer demography and population dynamics
Open the record for dataset details and reuse information.
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
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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.