Leaders from national nursing organizations, nursing schools, and health care simulation vendors convened in early 2019 to discuss simulation in nurse practitioner (NP) education. Nurse practitioner clinical education needs a more standardized, efficient, and sustainable model to prepare NPs to provide quality care in complex health care systems. Currently, a major shortage of clinical sites and preceptors to educate students creates challenges for NP programs and nursing faculty. One strategy used by nursing programs to overcome this challenge is using simulation to provide clinical training for NP students in a safe, controlled environment. There remains, however, a lack of evidence linking these simulation experiences with clinical skills acquisition and program outcomes. Implementing competency-based education through standardized simulations has the potential to demonstrate quality, safety, and accountability across NP education programs. Ultimately, the expansion and acceptance of simulation hours in NP education is dependent on strong and favorable evidence from rigorous, high-quality studies.

Download full-text PDF

Source
http://dx.doi.org/10.1097/JXX.0000000000000335DOI Listing

Publication Analysis

Top Keywords

nurse practitioner
12
simulation nurse
8
practitioner education
8
health care
8
education standardized
8
simulation
6
education
6
call action
4
action building
4
building evidence
4

Similar Publications

Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.

View Article and Find Full Text PDF

Background: Long-term haemodialysis patients often experience physical symptom distress (PSD) and varying levels of demoralization. Spirituality and self-compassion can help patients to cope these challenges. However, the interrelations between these variables remain underexplored, necessitating further investigation.

View Article and Find Full Text PDF

Insights into prescribing patterns for antidepressants: an evidence-based analysis.

BMC Med Inform Decis Mak

January 2025

Department of Health Administration and Policy, College of Public Health, George Mason University, 4400 University Dr, Fairfax, VA, 22030, USA.

Background: Antidepressants are a primary treatment for depression, yet prescribing them poses significant challenges due to the absence of clear guidelines for selecting the most suitable option for individual patients. This study aimed to analyze prescribing patterns for antidepressants across healthcare providers, including physicians, physician assistants, nurse practitioners, and pharmacists, to better understand the complex factors influencing these patterns in the management of depression.

Methods: Least Absolute Shrinkage and Selection Operator (LASSO) regression was employed to identify variables that explained the variation in the prescribed antidepressants, utilizing a large number of claims.

View Article and Find Full Text PDF

Surgical delays can lead to patient dissatisfaction and negatively affect hospital revenue. Maximizing operating room (OR) efficiencies is a high priority. A common metric for OR efficiency is first-case on-time start (FCOTS).

View Article and Find Full Text PDF

Shared decision-making (SDM) has the potential to significantly improve patient outcomes by enabling clinicians and patients to make health care decisions as partners. However, its implementation in mental health care has been a slow process. The objective of the study was to implement SDM during outpatient mental health treatment planning.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!