The American journal of managed care
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Hospital care accounts for up to one-third of the cost of inflammatory bowel disease (IBD) management. A select group of patients with IBD is responsible for a large proportion of this utilization, demonstrating the burden of frequent hospitalizations. We aim to better understand the burden of 30-day readmissions among patients with IBD using a national hospital database. ⋯ Nearly 1 in 7 hospitalizations of patients with IBD lead to a 30-day readmission. These IBD-specific readmissions are associated with increased utilization and comorbidity. Patients at risk for readmission need to be targeted to improve outcomes and IBD care quality.
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To determine the patient's perception of the role of an anesthesiologist and the patient's expectations of their anesthesiologist and their anesthesia care. ⋯ Because satisfaction is a fulfillment of one's expectations, understanding what the patient expects from their anesthesiologist is the initial step to improve satisfaction scores. The onus is on the anesthesiologist to educate the patient about their role, to set realistic expectations of the postoperative course, and to involve the patient in decisions regarding their anesthesia care.
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To understand if and how one dimension of physician skill, clinical knowledge, moderates the relationship between practice infrastructure and care quality. ⋯ Physician skill, such as clinical knowledge, is important to translating patient-centered practice infrastructure into better care quality, and so it may become more consequential as practice infrastructure improves across the United States.
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Multicenter Study Observational Study
Real-world outcomes among patients with early rapidly progressive rheumatoid arthritis.
To characterize treatment patterns, healthcare resource utilization (HRU), and disease activity among patients with early rapidly progressive rheumatoid arthritis (eRPRA) in the United States when treated with a first-line biologic disease-modifying antirheumatic drug (bDMARD) tumor necrosis factor-α (TNF) inhibitor or first-line abatacept. ⋯ Adjusting for disease severity, patients with eRPRA who were treated with first-line abatacept were less likely to have hospitalizations, ED visits, and MRI use during the first 6 months of bDMARD treatment and more likely to achieve low disease activity within 100 days of bDMARD start compared with those who received a first-line TNF inhibitor.
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Current models for patient risk prediction rely on practitioner expertise and domain knowledge. This study presents a deep learning model-a type of machine learning that does not require human inputs-to analyze complex clinical and financial data for population risk stratification. ⋯ The deep learning model outperforms the traditional risk models in prospective hospitalization prediction. Thus, deep learning may improve the ability of managed care organizations to perform predictive modeling of financial risk, in addition to improving the accuracy of risk stratification for population health management activities.