Prevalent Atherosclerotic Cardiovascular Disease Among Veterans by Sexual Orientation.

Background: Seven million lesbian, gay, and bisexual (LGB) adults will be aged >50 years by 2030; assessing and addressing their risk for cardiovascular disease is critical.

Methods And Results: We analyzed a nationwide cohort using the Veterans Health Administration data. Sexual orientation (SO) was classified via a validated natural language processing algorithm.

Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media.

Background: Medication-assisted treatment (MAT) is an effective method for treating opioid use disorder (OUD), which combines behavioral therapies with one of three Food and Drug Administration-approved medications: methadone, buprenorphine, and naloxone. While MAT has been shown to be effective initially, there is a need for more information from the patient perspective about the satisfaction with medications. Existing research focuses on patient satisfaction with the entirety of the treatment, making it difficult to determine the unique role of medication and overlooking the views of those who may lack access to treatment due to being uninsured or concerns over stigma.

Mindfulness effects on lifestyle behavior and blood pressure: A randomized controlled trial.

Background And Aims: HTN affects nearly 50% of U.S. adults and is the leading modifiable cardiovascular risk factor.

Nurses' perceptions of their knowledge and barriers to ambulating hospitalized patients in acute settings.

Purpose: The purpose of this study was to understand nurses' knowledge and perceptions of the importance of patient ambulation in acute care hospital settings. The data obtained from this survey will be used to create improvement initiatives that address patient ambulation.

Method: An exploratory, cross-sectional study using a self-administered survey was conducted in two different hospital sites, and was completed by 192 nurses.

Cost Effectiveness of the Earned Income Tax Credit as a Health Policy Investment.

Introduction: Lower-income Americans are suffering from declines in income, health, and longevity over time. Income and employment policies have been proposed as a potential non-medical solution to this problem.

Methods: An interrupted time series analysis of state-level incremental supplements to the Earned Income Tax Credit (EITC) program was performed using data from 1993 to 2010 Behavioral Risk Factor Surveillance System surveys and state-level life expectancy.

Detection of Recurrent Atrial Fibrillation Utilizing Novel Technology.

The true prevalence of AF is likely underestimated because episodes are often sporadic and challenging to detect in a "real world" setting. This case report will describe a 58-year-old atrial fibrillation patient with multiple cardiac risk factors. After two ablations and one cardioversion, the patient failed to remain in normal sinus rhythm.

Representing public health nursing intervention concepts with HHCC and NIC.

Purpose: It is imperative that public health nurses define their services and provide evidence supporting the effectiveness of interventions. The purpose of this paper is to examine the ex-tent to which two standardized nursing terminologies--Home Health Care Classification (HHCC) and Nursing Interventions Classification (NIC)--represent public health nursing practice according to core public health function in Public Health Nursing Intervention model.

Methods: First, we divided all HHCC and NIC interventions into intervention focus levels: individual/family-focused, community-focused, and system-focused.