In patients with hypertension, a patient activation intervention increased rates of switching to a thiazide, suggesting that such interventions may address medication optimization challenges.
The authors analyzed the impacts of COVID-19 on orthopedic operating room efficiency via comparison of 14,856 surgeries performed before, during, and after the pandemic.
With diabetes rates projected to rise sharply, automated retinal screening may represent an attractive low-cost option to meet the growing demand for routine screening services.
In cardiovascular clinics during COVID-19, notable barriers to successful telehealth use included obtaining diagnostic information needed to deliver high-quality care and technology-related challenges for patients.
It is possible, if you lay the groundwork, to provide patients with acute leukemias with aggressive and effective therapies, while still allowing them to maintain quality of life, explained Jennifer Vaughn, MD, of The Ohio State University Comprehensive Cancer Center – James Cancer Hospital.
Patients with activated patient portal accounts report higher patient satisfaction in respective dimensions of the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) and Hospital CAHPS (HCAHPS) surveys compared with patients without portal accounts.
Reynold A. Panettieri Jr., MD, examines the application of biologic therapies in the treatment of respiratory conditions.
This qualitative study of patients and providers in primary care evaluated privacy and safety considerations in telemedicine following the COVID-19 pandemic.
Medication-assisted treatment is an excellent approach to managing addiction and related emotional symptoms, Rachel Rohaidy, MD, of Miami Neuroscience Institute with Baptist Health, explains.
Mobile health (mHealth) and a patient activation program could serve as a model for improving health outcomes for patients in outpatient clinical settings by decreasing atherosclerotic cardiovascular disease risk score.
Comparing plans with similar characteristics, such as size, geographic location, or demographics served, allows for more meaningful insights and improvement opportunities.
Patients with diabetes whose providers received advice from remote, virtual interdisciplinary rounds had a greater 1-year reduction in hemoglobin A1c than comparable patients.
No published studies exist on use of intervention design, implementation strategies, and theory in the CMS Accountable Health Communities Model, the largest-scale test of social prescribing in the United States.
This article describes the Philadelphia Medicaid Opioid Prescribing Initiative that was launched by a multidisciplinary team and mailed local Medicaid providers individualized prescribing report cards.
This study characterized antihyperglycemic medication use after chronic kidney disease onset among patients with type 2 diabetes to uncover potential unmet needs in clinical practice.
This study examined postdiagnosis breast cancer treatment outcomes for Medicare Advantage vs fee-for-service (FFS) Medicare in Ohio and found no significant differences overall but disparities for Black patients with FFS Medicare.
Among hospitalized patients with traumatic brain injury, Medicaid fee-for-service was associated with longer hospital stays than private insurance and Medicaid managed care organizations.
Naturally occurring variations in appointment frequencies do not appear to have a major impact on clinical outcomes, but they significantly affect waiting times.
The US federal government is finally updating its standards for reporting data on race and ethnicity – and it’s an urgently needed chance to enable a national overview of crucial data on health inequities
Proactive care management for artificial intelligence (AI)–identified at-risk patients reduced potentially preventable hospital admissions.
This article provides a description of prospective financial simulation methodology and use cases with empirical data for episode-based bundled payments, including implications for contract negotiations and value-based care redesign.
In this retrospective cohort study of patients with newly diagnosed psoriatic arthritis, the authors examine the association of treatment selection and costs with physician specialty.
This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.
The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling prioritization for a care coordination program.
Trends in surveillance testing after treatment for colorectal cancer remained relatively stable recently, and patients who overutilized surveillance measures had quicker recurrence detection but higher costs.