Faculty Opinions recommendation of Higher Incidence Rates of Comorbidities in Patients with Psoriatic Arthritis Compared with the General Population Using U.S. Administrative Claims Data.

Author(s):  
Dafna Gladman
2019 ◽  
Author(s):  
Qinli Ma ◽  
Michael Mack ◽  
Sonali Shambhu ◽  
Kathleen McTague ◽  
Kevin Haynes

BACKGROUND Administrative claims data could facilitate longitudinal ascertainment of health outcomes across multiple health systems during defined enrollment periods within health plans. As a result, the supplementation of electronic health records data with administrative claims data may be used to capture outcome events more comprehensively in longitudinal comparative effectiveness observational studies. OBJECTIVE To investigate the utility of administrative claims data to identify and capture outcomes across health systems using a comparative effectiveness study of different types of bariatric surgery as a model. METHODS This observational cohort study identified Anthem members who had bariatric surgery between 01/01/2007 and 12/31/2015 within the HealthCore Anthem Research Network (HCARN) database in the National Patient-Centered Clinical Research Network (PCORnet) common data model. Using HCARN bariatric claims, we identified patients whose procedures were performed in a member facility of one of the health systems affiliated with PCORnet Clinical Research Networks (CRNs). The main short-term adverse event outcome of interest was a composite of venous thromboembolism, reintervention, failure of discharge from the hospital, and death within 30 days after bariatric surgery. The long-term outcomes included all-cause hospitalization, abdominal operation or intervention, and in-hospital death up to 5 years after the procedure. Events were classified as occurring within or outside PCORnet CRN health systems by linking facility identifiers and events from all available CRNs and claims data. RESULTS We identified 4,899 patients who had bariatric surgery in one of the PCORnet CRN health systems. For 30-day composite adverse events, the inclusion of HCARN multi-site claims data marginally increased the incidence rate based only on HCARN single-site claims data for PCORnet CRN health systems from 3.9% to 4.2%. During the 5-year follow-up period, 56.8% of all-cause hospitalizations, 31.2% major abdominal operations or interventions, and 32.3% of in-hospital deaths occurred outside PCORnet CRN health systems. Incidence rates for long-term outcomes (events per 100 patient-years) were significantly lower when based on claims from a single PCORnet CRN health system only compared to using claims from all health systems in the HCARN across all outcomes: all-cause hospitalization, 12.5 (95% Confidence Interval [CI]: 11.9, 13.2) to 25.3 (95% CI: 24.4, 26.3); abdominal operation or intervention, 4.4 (95% CI: 4.0, 4.8) to 6.1 (95% CI: 5.7, 6.6); in-hospital death, 0.2 (95% CI: 0.12, 0.29) 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 CRN health systems. The incidence rates for long-term outcomes were significantly lower when derived from claims from a single PCORnet CRN health system compared all claims. CLINICALTRIAL Not applicable


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinli Ma ◽  
Michael Mack ◽  
Sonali Shambhu ◽  
Kathleen McTigue ◽  
Kevin Haynes

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.


2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Sanket S. Dhruva ◽  
Craig S. Parzynski ◽  
Ginger M. Gamble ◽  
Jeptha P. Curtis ◽  
Nihar R. Desai ◽  
...  

2011 ◽  
Vol 28 (4) ◽  
pp. 424-427 ◽  
Author(s):  
S. Amed ◽  
S. E. Vanderloo ◽  
D. Metzger ◽  
J.-P. Collet ◽  
K. Reimer ◽  
...  

Author(s):  
Michael D McCulloch ◽  
Tim Sobol ◽  
Joy Yuhas ◽  
Bill Ahern ◽  
Eric D Hixson ◽  
...  

Background: Administrative claims data are commonly used for measurement of mortality and readmissions in Acute Myocardial Infarction (AMI). With advent of the Electronic Medical Record (EMR), the electronic problem list offers new ways to capture diagnosis data. However, no data comparing the accuracy of administrative claims data and the EMR problem list exists. Methods: Two years of admissions at a single, quaternary medical center were analyzed to compare the presence of AMI diagnosis in administrative claims and EMR problem list data using a 2x2 matrix. To gain insights into this novel method, 25 patient admissions were randomly selected from each group to undergo physician chart review to adjudicate a clinical diagnosis of myocardial infarction based on the universal definition. Results: A total of 105,929 admissions from January 1, 2010 to December 31, 2011 were included. Where EMR problem list and administrative claims data were in agreement for or against AMI diagnosis they were highly accurate. Where administrative claims data, but not EMR problem list, reported AMI the most common explanation was true AMI with missing EMR problem list diagnoses (60%). Less common reasons for discordance in this category include: (1) administrative coding error (20%), (2) computer algorithm error (8%), (3) patient death before EMR problem list created (4%), (4) EMR problem list not used (4%) and (5) AMI diagnosis was removed from EMR problem list (4%). Where EMR problem list, but not administrative claims data, reported AMI the most common explanation was no AMI with historical diagnosis of AMI from a previous admission (60%). Less common reasons for discordance in this category include: (1) AMI present but not the principal diagnosis (32%), (2) administrative coding error (4%) and (3) erroneous EMR problem list entry (4%). Conclusion: Compared to administrative and chart review diagnoses, we found that using the EMR problem list to identify patient admissions with a principal diagnosis of AMI will overlook a subset of patients primarily due to inadequate clinical documentation. Additionally, the EMR problem list does not discriminate the admission principal diagnosis from the secondary diagnoses.


PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0194371 ◽  
Author(s):  
Daniel Schwarzkopf ◽  
Carolin Fleischmann-Struzek ◽  
Hendrik Rüddel ◽  
Konrad Reinhart ◽  
Daniel O. Thomas-Rüddel

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