Julia is an associate editor for The American Journal of Managed Care® (AJMC®) and joined AJMC® in 2022. She produces written and video content covering multiple disease states, and assists in the screening process for manuscripts submitted to AJMC®.
She has a BA in English language and literature from Rutgers University. You can connect with Julia on LinkedIn.
Self-management Vital for Patients With Diabetes Who Have Intellectual Disabilities
According to this systematic review, the best way to optimize diabetes management for patients with both diabetes and intellectual disabilities is supported self-management, which has numerous obstacles to full implementation.
CPAP Improves Polysomnography Parameters, Quality of Life in OSA
A single-blind, parallel, randomized clinical trial found that a continuous positive airway pressure (CPAP) machine was more effective in normalizing polysomnographic parameters and improving quality of life in patients with mild obstructive sleep apnea (OSA) compared with the mandibular advancement device.
Milken Institute's Sarah Wells Kocsis Highlights Key Findings of Her Research on CKD
Sarah Wells Kocsis, MBA, is co-author of the Milken Institute report, “Chronic Kidney Disease: Finding a Path to Prevention, Earlier Detection, and Management.” She spoke to The American Journal of Managed Care® about the findings of the report and how they can be incorporated into care for patients with chronic kidney disease (CKD).
Model Suggests Giving Kidneys to Patients on Dialysis a Better Use of Resources
A recent modeling study found that allocating kidneys to patients receiving dialysis was a better use of the organs from a societal perspective compared with giving kidneys to those on a preemptive waiting list.
Difference in eGFR Values Based on Cystatin C vs Creatinine Could Indicate Higher HF Risk
A prospective cohort study found that in patients with chronic kidney disease, large differences in their glomerular filtration rate (eGFR) based on cystatin C vs creatinine were associated with risk of incident heart failure (HF).
Using AI to Screen for Preventable Infant Blindness in Underresourced Countries
A recent study examined whether an artificial intelligence (AI) trained risk model could screen for retinopathy of prematurity, a leading cause of preventable blindness in infants in low- and middle-income countries, via telehealth.
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