Introduction to digital health course.

Digital health is health care delivery that connects and empowers people and populations to manage health and wellness through technology. This mode of health care delivery has increased exponentially since the COVID-19 pandemic with most hospitals and health systems offering digital health services. The American Association of Colleges of Nursing (AACN) published The Essentials: Core Competencies for Professional Nursing Education which digital health education helps to partially meet four of these competencies. It is imperative graduate nursing education prepare future advanced practice registered nurses for practice in the evolving health care field. The purpose of this article is to share how to implement a graduate level digital health course for advanced practice registered nursing students.

Factors Associated With Nurses' Acceptance of the Electronic Intensive Care Unit.

BACKGROUND: Telemedicine intensivist-led intensive care (electronic intensive care unit [eICU]) is recommended when on-site intensivist-led intensive care is not available. Although the effects of eICU on patient outcomes are comparable with bedside intensivist-led care, not all implementations of eICU are successful in improving patient outcomes. Therefore, the aims of this study were to (1) examine the associations of perceived usefulness, perceived ease of use, nurses' attitudes toward eICU, and intention to use and (2) determine which participant characteristics were associated with these four dependent variables. METHODS: This cross-sectional, correlational study asked bedside registered nurses to complete an anonymous online survey to explore their acceptance of eICU. RESULTS: Nurses' attitude toward eICU and intention-to-use eICU demonstrated the strongest association, r(120) = 0.83, p < .001. The most significant variable associated with perceived usefulness, perceived ease of use, nurses' attitudes toward eICU, and intention to use was support from nurses. In addition, support from physicians was significantly associated with perceived usefulness, perceived ease of use, and nurses' attitudes toward eICU. CONCLUSIONS: Support from both bedside physicians and registered nurses in the intensive care unit had the most association with acceptance of the eICU service. Gaining their support to use an eICU service is essential.

Using the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey to Predict the Occurrence of Short-Term Coronary Heart Disease Events in Women.

BACKGROUND: Few instruments capture symptoms that predict cardiac events in the short-term. This study examines the ability of the McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey to predict acute cardiac events within 3 months of administration and to identify the prodromal symptoms most associated with short-term risk in women without known coronary heart disease. METHODS: The McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey was administered to 1,097 women referred to a cardiologist for initial coronary heart disease evaluation. Logistic regression models were used to examine prodromal symptoms individually and in combination to identify the subset of symptoms most predictive of an event within 3 months. RESULTS: Fifty-one women had an early cardiac event. In bivariate analyses, 4 of 30 prodromal symptoms were significantly associated with event occurrence within 90 days. In adjusted analyses, women reporting arm pain or discomfort and unusual fatigue were more likely (OR, 4.67; 95% CI, 2.08-10.48) to have a cardiac event than women reporting neither. CONCLUSIONS: The McSweeney Acute and Prodromal Myocardial Infarction Symptom Survey may assist in predicting short-term coronary heart disease events in women without known coronary heart disease.