The COVID-19 pandemic created stressful working conditions for nurses and challenges for leaders. A survey was conducted among 399 acute and ambulatory care nurses measuring availability of calming and safety resources, perceptions of support from work, and intent to stay. Most nurses reported intent to stay with their employer, despite inadequate safety and calming resources.
View Article and Find Full Text PDFObjective: The Greater Plains Collaborative (GPC) and other PCORnet Clinical Data Research Networks capture healthcare utilization within their health systems. Here, we describe a reusable environment (GPC Reusable Observable Unified Study Environment [GROUSE]) that integrates hospital and electronic health records (EHRs) data with state-wide Medicare and Medicaid claims and assess how claims and clinical data complement each other to identify obesity and related comorbidities in a patient sample.
Materials And Methods: EHR, billing, and tumor registry data from 7 healthcare systems were integrated with Center for Medicare (2011-2016) and Medicaid (2011-2012) services insurance claims to create deidentified databases in Informatics for Integrating Biology & the Bedside and PCORnet Common Data Model formats.
Background: Little is known about body weight status and the association between body weight and common comorbidities in children and adults with Down syndrome (DS), autism spectrum disorder (ASD) and other intellectual and developmental disabilities (IDDs).
Methods: Data were extracted from the University of Kansas Medical Center's Healthcare Enterprise Repository for Ontological Narration clinical integrated data repository. Measures included demographics (sex, age and race), disability diagnosis, comorbid health conditions, height, weight and body mass index percentiles (BMI%ile; <18 years of age) or BMI (≥18 years of age).
Modeling variance in patient outcomes using medical claims and other forms of aggregated administrative data may ignore significant contributions associated with providers who are not recorded in billing transactions. We examined the association between interdisciplinary provider factors and length of stay (LOS) for 1,099 lumbar spine surgery patients. Interdisciplinary provider "dose" (number of providers/case), "workload" (care of other patients), and "activity" factors were defined and generated.
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