Introduction: In order to identify and evaluate candidate algorithms to detect COVID-19 cases in an electronic health record (EHR) database, this study examined and compared the utilization of acute respiratory disease codes from February to August 2020 versus the corresponding time period in the 3 years preceding.
Methods: De-identified EHR data were used to identify codes of interest for candidate algorithms to identify COVID-19 patients. The number and proportion of patients who received a SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) within ±10 days of the occurrence of the diagnosis code and patients who tested positive among those with a test result were calculated, resulting in 11 candidate algorithms.
Objectives: To examine the temporal patterns of patient characteristics, treatments used and outcomes associated with COVID-19 in patients who were hospitalised for the disease between January and 15 November 2020.
Design: Observational cohort study.
Setting: COVID-19 subset of the Optum deidentified electronic health records, including more than 1.
Aims: Dynamic changes in the payer landscape have resulted in increasing out-of-pocket costs (OOPCs). Little is known about OOPC for patients undergoing biopsy for suspicious pulmonary nodules in the United States. This study seeks to describe the spectrum of OOPC for diagnostic tissue sampling for suspicious pulmonary nodule with an ultimate diagnosis of lung cancer.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
February 2022
Purpose: Secondary hyperparathyroidism (SHPT) is common among dialysis patients, and calcimimetics are a mainstay of treatment. This study assessed whether cinacalcet use is associated with gastrointestinal bleeding in a large hemodialysis cohort.
Methods: A linked database of clinical records and medical claims for patients receiving hemodialysis in a large dialysis organization, 2007-2010, was used.
Background: Beginning March 2020, the COVID-19 pandemic has disrupted different aspects of life. The impact on children's rate of weight gain has not been analysed.
Methods: In this retrospective cohort study, we used United States (US) Electronic Health Record (EHR) data from Optum® to calculate the age- and sex- adjusted change in BMI (∆BMI) in individual 6-to-17-year-old children between two well child checks (WCCs).