This study examines dental insurance transition dynamics in the context of changing employment and retirement status.
Predictive models for hospital admissions and readmissions in persons aged >65 years have been developed through a combination of comorbidity and previous healthcare use.
This retrospective study strongly suggests that splitting a 10-mg ezetimibe tablet yields a 5-mg dose that is clinically equivalent to the 10-mg dose.
This study critically assessed the published clinical and economic evidence supporting oncology orphan drugs marketed in the United States.
Electronic health record (EHR)-based comorbidity assessment had low sensitivity for identifying major comorbidities and poorly predicted survival. EHR-based comorbidity data require validation prior to application to risk adjustment.
This study assesses the effect of medication burden on persistent use of newly added lipid-lowering drugs among patients with hypertension.
This study examined adherence to statins and low-density lipoprotein cholesterol goal attainment in patients with coronary artery disease.
Implementing patient decision aids was associated with lower rates of elective surgery for benign prostatic hyperplasia and of active treatment for localized prostate cancer.
Assessment of prevalence and specific costs associated with discrete multimorbid mental health disease clusters in adults with diabetes.
Multiple factors can impact the effectiveness of financial incentives intended to encourage primary care providers to improve patient experiences.
The authors used the modified Delphi method to develop local orthopedic referral guidelines, enabling detailed decision support and non—face-to-face consultation at the point of referral.
This article evaluates and compares the effectiveness of shared medical appointments versus regular office visits among Hispanic patients with diabetes.
This article examines the evolution of the Community Hospital Acceleration, Revitalization and Transformation investment program in Massachusetts and informs other states seeking to transform care delivery in community hospitals toward value-based care.
Proactive care management for artificial intelligence (AI)–identified at-risk patients reduced potentially preventable hospital admissions.