Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease.

Background: Medication nonadherence is a critical problem with severe implications in individuals at risk for atherosclerotic cardiovascular disease. Many studies have attempted to predict medication adherence in this population, but few, if any, have been effective in prediction, sug-gesting that essential risk factors remain unidentified.

Objective: This study's objective was to (1) establish an accurate prediction model of medi-cation adherence in individuals at risk for atherosclerotic cardiovascular disease and (2) identify significant contributing factors to the predictive accuracy of medication adherence.

Codesign of a cardiovascular disease prevention text message bank for older adults.

Objective: Develop and validate a text message bank to support healthier lifestyle behaviors in older adults at risk for cardiovascular disease utilizing a codesign approach.

Methods: Initially, the researchers, based on literature, developed a bank of 68 SMS text messages focusing on healthy eating (24 messages), physical activity (24 messages), and motivational feedback (20 messages), based on a scoping review of the literature on promoting behavioral change to engage in healthy lifestyle behaviors. In the next step, a panel of five experts analyzed every subset of SMS text messages.

The Decolonization of Nursing Education.

In the era of COVID-19, coupled with a community in tune to Black lives, the call to action is now. It is now time to stop, listen, and be intentional in efforts to create sustainable policies and programs that shape the ability to deliver culturally competent care to diverse patients, families, professionals, and communities. Our recommendations for how faculty and academia can decolonize nursing education are delineated in this article.

Effect of diabetes self-management education on glycemic control in Latino adults with type 2 diabetes: A systematic review and meta-analysis.

Purpose: This systematic review and meta-analysis evaluated the effectiveness of diabetes self-management education (DSME) in reducing glycosylated hemoglobin (A1C) levels in adult Latinos with type 2 diabetes (T2DM).

Methods: Five databases were searched for DSME randomized controlled trials or quasi-experimental trials published between January 1997 and March 2019. A random effects model was utilized to calculate combined effect sizes.

Facilitators and barriers to research participation: perspectives of Latinos with type 2 diabetes.

Background: Latinos constitute 17% of the US population and are one of the largest ethnic groups; however, only 7.6% participate in research studies. There is a disproportionately high number of Latinos living with type 2 diabetes mellitus and are at increased risk for cardiovascular events.