Related Experiment Video
Updated: Jan 31, 2026
10:07
Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
19.5K
Adelante (Moving Forward): An Innovative Program for Nursing and Prenursing Students
Herlinda Zamora1, Norma Martínez Rogers
1About the Authors Herlinda Zamora, MSN, RN, is an assistant professor/clinical, University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas. Norma Martínez Rogers, PhD, RN, FAAN, is a professor, University of Texas Health Science Center at San Antonio School of Nursing. For more information, write to zamorah2@uthscsa.edu.
Nursing Education Perspectives
|January 8, 2019
Summary
The Adelante Program boosts nursing workforce diversity through supportive mentoring for students from diverse backgrounds. This initiative is crucial for improving health care equity and representation.
Area of Science:
- Health Sciences
- Nursing Education
- Workforce Diversity
Background:
- The US healthcare workforce lacks diversity, not mirroring the general population.
- This disparity impacts patient care and health equity.
- Innovative solutions are needed to address this gap.
Purpose of the Study:
- To describe the Adelante (Moving Forward) Program, an innovative model to enhance nursing workforce diversity.
- To outline the program's strategies for supporting baccalaureate and pre-nursing students from diverse backgrounds.
Main Methods:
- The Adelante Program utilized supportive developmental relationships and mentoring.
- Targeted baccalaureate nursing students and pre-nursing students.
- Focused on advancing students' educational and professional trajectories.
Main Results:
- Graduates of the Adelante Program expressed intentions to pursue further education.
- The program demonstrated a potential model for increasing diversity in nursing.
- Mentoring and support were key components identified by participants.
Conclusions:
- Innovative programs are essential for increasing diversity in the nursing workforce.
- The Adelante Program serves as a successful example of such an initiative.
- Continued development and implementation of similar programs are imperative for health care equity.
Related Concept Videos
01:31Student t Distribution
14.2K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
The Student t distribution was developed by William S. Goset (1876–1937) of the...
14.2K
01:25Microsoft Excel: Student's t-Test
1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
01:09Comparing Experimental Results: Student's t-Test
6.0K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.0K
01:03Nursing Interventions I: Taxonomy of Nursing Interventions
3.8K
Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
3.8K
01:29Nursing Interventions II: Selecting and Classifying the Nursing Interventions
3.3K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
3.3K
01:15Nursing Evaluation
4.3K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
4.3K