scholarly journals Development and Validation of an Algorithm to Identify Patients with Multiple Myeloma Using Administrative Claims Data

2016 ◽  
Vol 6 ◽  
Author(s):  
Nicole Princic ◽  
Chris Gregory ◽  
Tina Willson ◽  
Maya Mahue ◽  
Diana Felici ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Claims Data ◽  
Administrative Claims ◽  
Administrative Claims Data ◽  
Development And Validation

scholarly journals Characterization of bariatric surgery and outcomes using administrative claims data in the research network of a nationwide commercial health plan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinli Ma ◽  
Michael Mack ◽  
Sonali Shambhu ◽  
Kathleen McTigue ◽  
Kevin Haynes
Keyword(s):  
Bariatric Surgery ◽  
Health Systems ◽  
Comparative Effectiveness ◽  
Claims Data ◽  
Research Network ◽  
Hospital Death ◽  
Administrative Claims ◽  
Administrative Claims Data ◽  
Abdominal Operations

Abstract Background The supplementation of electronic health records data with administrative claims data may be used to capture outcome events more comprehensively in longitudinal observational studies. This study investigated the utility of administrative claims data to identify outcomes across health systems using a comparative effectiveness study of different types of bariatric surgery as a model. Methods This observational cohort study identified patients who had bariatric surgery between 2007 and 2015 within the HealthCore Anthem Research Network (HCARN) database in the National Patient-Centered Clinical Research Network (PCORnet) common data model. Patients whose procedures were performed in a member facility affiliated with PCORnet Clinical Research Networks (CRNs) were selected. The outcomes included a 30-day composite adverse event (including venous thromboembolism, percutaneous/operative intervention, failure to discharge and death), and all-cause hospitalization, abdominal operation or intervention, and in-hospital death up to 5 years after the procedure. Outcomes were classified as occurring within or outside PCORnet CRN health systems using facility identifiers. Results We identified 4899 patients who had bariatric surgery in one of the PCORnet CRN health systems. For 30-day composite adverse event, the inclusion of HCARN multi-site claims data marginally increased the incidence rate based only on HCARN single-site claims data for PCORnet CRNs from 3.9 to 4.2%. During the 5-year follow-up period, 56.8% of all-cause hospitalizations, 31.2% abdominal operations or interventions, and 32.3% of in-hospital deaths occurred outside PCORnet CRNs. Incidence rates (events per 100 patient-years) were significantly lower when based on claims from a single PCORnet CRN only compared to using claims from all health systems in the HCARN: all-cause hospitalization, 11.0 (95% Confidence Internal [CI]: 10.4, 11.6) to 25.3 (95% CI: 24.4, 26.3); abdominal operations or interventions, 4.2 (95% CI: 3.9, 4.6) to 6.1 (95% CI: 5.7, 6.6); in-hospital death, 0.2 (95% CI: 0.11, 0.27) to 0.3 (95% CI: 0.19, 0.38). Conclusions Short-term inclusion of multi-site claims data only marginally increased the incidence rate computed from single-site claims data alone. Longer-term follow up captured a notable number of events outside of PCORnet CRNs. The findings suggest that supplementing claims data improves the outcome ascertainment in longitudinal observational comparative effectiveness studies.

scholarly journals Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Sanket S. Dhruva ◽  
Craig S. Parzynski ◽  
Ginger M. Gamble ◽  
Jeptha P. Curtis ◽  
Nihar R. Desai ◽  
...  
Keyword(s):  
Adverse Events ◽  
Stent Placement ◽  
Claims Data ◽  
Coronary Stent ◽  
Administrative Claims ◽  
Administrative Claims Data

Validation of diabetes case definitions using administrative claims data

2011 ◽  
Vol 28 (4) ◽  
pp. 424-427 ◽  
Author(s):  
S. Amed ◽  
S. E. Vanderloo ◽  
D. Metzger ◽  
J.-P. Collet ◽  
K. Reimer ◽  
...  
Keyword(s):  
Claims Data ◽  
Administrative Claims ◽  
Case Definitions ◽  
Administrative Claims Data ◽  
Diabetes Case
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