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53 results for “claims data”
Disputed Archival Claims - 1998 and 2019 Survey Data
<p>This dataset comprises a spreadsheet containing the responses to two international surveys about displaced archives. The spreadsheet has two sheets: the first contains data pulled from Leopold Auer's 1998 report on his survey, Disputed Archival Claims, conducted for UNESCO and the International Council on Archives (ICA); the second sheet contains data received by James Lowry for his survey, conducted for the ICA's Expert Group on Shared Archival Heritage in 2018 and 2019, published in 2020.</p> <p>This dataset was compiled by James Lowry, John Moffat and Pauline Soum-Paris. It contains data collected and presented by Leopold Auer (1997/1998). Marianne Deraze contributed to the collection of the 2019 data by posting the survey to the ICA website. The data was contributed by representatives of the countries and organisations making the claims.</p>
Genesis locations of the costliest atmospheric rivers impacting the Western United States (insurance claim data)
<p>Atmospheric rivers (ARs) are responsible for the vast majority (approximately 88%) of flood damage in the Western U.S, an annual average of USD$1.1 billion. Here, using historical flood insurance data, we investigate the genesis characteristics of damaging ARs in the Western U.S. ARs exceeding USD$20 million in damage (90th percentile), are shown to travel further across the Pacific Ocean, with median genesis locations 8° to 27° further westward compared to typical ARs. Identifying regions of preferential genesis of damaging ARs elicit important implications for AR observation campaigns, highlighting distant regions not currently considered for AR reconnaissance. The genesis of damaging ARs is associated with elevated upper-level zonal wind speeds along with deeper cyclonic anomalies, most pronounced for Washington and Oregon ARs. Linking AR dynamics and lifecycle characteristics to economic damage provides an opportunity for impact-based forecasting of ARs prior to landfall, supporting efforts to mitigate extreme flood damages.</p>
An Observational Study to Develop Algorithms for Identifying Opioid Abuse and Addiction Based on Admin Claims Data
ClinicalTrials.gov study NCT02667262. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Genesis locations of the costliest atmospheric rivers impacting the Western United States (insurance claim data)
Open the record for dataset details and reuse information.
Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data
<p>Machine readable code lists for an algorithm to identify incident lung cancer in United States healthcare claims data</p>
Data from: The prevalence of MS in the United States: a population-based estimate using health claims data
Objective: To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets. Methods: A validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the 2010 US Census data and pooled the findings to calculate the 2010 prevalence of MS in the United States cumulated over 3 years. We also estimated the 2010 prevalence cumulated over 10 years using 2 models and extrapolated our estimate to 2017. Results: The estimated 2010 prevalence of MS in the US adult population cumulated over 10 years was 309.2 per 100,000 (95% confidence interval [CI] 308.1–310.1), representing 727,344 cases. During the same time period, the MS prevalence was 450.1 per 100,000 (95% CI 448.1–451.6) for women and 159.7 (95% CI 158.7–160.6) for men (female:male ratio 2.8). The estimated 2010 prevalence of MS was highest in the 55- to 64-year age group. A US north-south decreasing prevalence gradient was identified. The estimated MS prevalence is also presented for 2017. Conclusion: The estimated US national MS prevalence for 2010 is the highest reported to date and provides evidence that the north-south gradient persists. Our rigorous algorithm-based approach to estimating prevalence is efficient and has the potential to be used for other chronic neurologic conditions.
Replication of the LEAD-2 Diabetes Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05162183. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Use and Effectiveness of COVID-19 Vaccines Using State Vaccine Registries and Insurance Claims Data
ClinicalTrials.gov study NCT05876377. IPD Sharing: NO. Countries: 1. Publications: 0.
Replication of the RELY Anticoagulant Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04593043. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the POET-COPD Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05083429. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the P04334 Asthma Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04892758. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the TRANSCEND Antihypertensive Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04354376. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the ROCKET-AF Anticoagulant Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04593056. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the DAPA-CKD (Chronic Kidney Disease) Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04882813. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the VERO Osteoporosis Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04879420. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the ONTARGET Antihypertensive Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04354350. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the D58 Asthma Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT04892732. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the RECORD1 Anticoagulant Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05083455. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Replication of the ISAR-REACT 5 Antiplatelet Trial in Healthcare Claims Data
ClinicalTrials.gov study NCT05086081. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CAR T Cells Real World Evidence Study Based on the French Hospital Claims Data Source (PMSI)
ClinicalTrials.gov study NCT05349201. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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