61 results match your criteria: "Texas Woman's University College of Nursing[Affiliation]"

Music in Academia for Undergraduate Nursing Students: A Randomized Controlled Study.

Nurs Educ Perspect

June 2024

About the Authors Jorgie Ann Contreras, PhD, MSN, RN, CPN, is an assistant clinical professor, The University of Texas Health Science Center at San Antonio School of Nursing, San Antonio, Texas. Ann Malecha, PhD, RN, CNE, PHNA-BC, CPH, is a professor, Texas Woman's University College of Nursing, Houston, Texas. Wyona Freysteinson, PhD, MN, RN, FAAN, is a professor, Texas Woman's University College of Nursing. Sandra Cesario, PhD, RNC-OB, FAAN, is a professor, Texas Woman's University College of Nursing. The authors thank all students who participated in the study. The primary author would like to thank the staff in the Center for Simulation Innovation at The University of Texas Health Science Center at San Antonio for their assistance on the day of skill competency recordings. For more information, contact Dr. Contreras at .

Over time, unmanaged stress and anxiety can potentially impact nursing students' health and academic performance. A randomized controlled approach explored the effects music has on stress and anxiety levels in undergraduate nursing students. Students ( n = 89) were randomized into two recording groups, and variables such as demographics, heart rate, blood pressure, and State-Trait Anxiety (STAI) scores were measured and compared.

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The Mountain Model for Evidence-Based Practice Quality Improvement Initiatives.

Am J Nurs

May 2024

Julee Waldrop is a professor at the Duke University School of Nursing in Durham, NC, and editor-in-chief of the Journal for Nurse Practitioners . Jayne Jennings Dunlap is an associate professor at the Texas Woman's University College of Nursing in Houston. Contact author: Julee Waldrop, . The authors and planners have disclosed no potential conflicts of interest, financial or otherwise.

This article introduces the Mountain Model, the first conceptual model for evidence-based practice quality improvement (EBPQI) initiatives. The Mountain Model merges modern evidence-based practice (EBP) and quality improvement (QI) paradigm principles into a unified conceptual framework with the goal of disseminating and sustaining EBPQI projects across health care and related settings. The model was developed within the nursing discipline, but is designed for transdisciplinary implementation through interprofessional teams.

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CE: Beyond PICO-A New Question Simplifies the Search for Evidence.

Am J Nurs

March 2024

Julee Waldrop is a professor at the Duke University School of Nursing in Durham, NC, and editor-in-chief of the Journal for Nurse Practitioners . Jayne Jennings Dunlap is an associate professor at the Texas Woman's University College of Nursing in Houston. Contact author: Julee Waldrop, . The authors and planners have disclosed no potential conflicts of interest, financial or otherwise.

The framework for the PICO (population, intervention, comparison intervention, outcome) question was developed for use in the field of medicine to help determine the best treatment or intervention for a patient. However, use of the PICO question often fails to make sense when the problem or issue of interest is unrelated to determining the best treatment; in such cases, PICO is a less-than-optimal framework to use in searching for evidence. Nurses undertaking an evidence-based practice quality improvement (EBPQI) initiative must begin with a full understanding of the problem by exploring both external evidence (research) and internal evidence from the local setting to support the initiative.

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Background: Understanding the psychological well-being (PWB) of university staff and factors that influence it is critical for developing intervention programs that promote PWB and enhance productivity and worker engagement.

Purpose: This study aimed to assess the level of PWB in university staff and identify personal, social, and workplace environmental factors related to their PWB.

Methods: A cross-sectional, correlational study design was used.

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Predictive and Associated Factors of Burnout in Nursing Faculty: An Integrative Review.

Nurse Educ

April 2024

Author Affiliation: PhD student, Department of Graduate Studies, Texas Woman's University College of Nursing, Houston.

Background: Nurse educators are at high risk of experiencing burnout, resulting in high numbers of vacant faculty positions.

Purpose: The aims of this integrative review were to review the prevalence of measurable dimensions of professional burnout and discuss the predictive and associated factors of burnout and intent to leave nursing academia.

Approach: This review used the Whittemore and Knafl integrative review methodology to perform a structured search of 4 electronic databases (CINAHL, ERIC, EMBASE, and PubMed).

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Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature.

Appl Clin Inform

May 2023

U.S. Department of Veterans Affairs, Vanderbilt University School of Nursing, Tennessee Valley Healthcare System, Nashville, Tennessee, United States.

Objectives: The goal of this work was to provide a review of the implementation of data science-driven applications focused on structural or outcome-related nurse-sensitive indicators in the literature in 2021. By conducting this review, we aim to inform readers of trends in the nursing indicators being addressed, the patient populations and settings of focus, and lessons and challenges identified during the implementation of these tools.

Methods: We conducted a rigorous descriptive review of the literature to identify relevant research published in 2021.

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Nursing handoff education: An integrative literature review.

Nurse Educ Pract

March 2023

Clinical Professor & Nursing Honors Program Coordinator, Texas Woman's University College of Nursing, Dallas, TX 75235, USA. Electronic address:

Aim: This integrative review aimed to identify nursing students' experiences of handoff practices and the effects of handoff education in the curriculum on nursing student learning outcomes.

Background: Appropriate handoff communication skills are essential for nursing students to maintain patient safety and prevent adverse events.

Method: A systematic literature search was conducted with keywords related to nursing, student, and handoff in April 2020.

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Screen technology exposure and infant cognitive development: A scoping review.

J Pediatr Nurs

April 2023

Texas Woman's University Library, 5500 Southwestern Medical Ave, Dallas, TX 75235, United States of America.

Problem: There has been some concern that screen exposure is harmful to an infant's cognitive development, but the effects of screen technologies on cognition are not fully understood. A scoping review was conducted to determine what evidence exists about screen exposure and cognitive development in children ages birth to 24 months.

Eligibility Criteria: Inclusion = 1) English language; 2) studies focusing on children under 24 months of age; 3) cognitive development; 4) screen exposure.

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Alternative Clinical Learning Experiences for Nursing Education Using Virtual Individual Patients.

Nurs Educ Perspect

July 2023

About the Authors The authors are faculty at Texas Woman's University College of Nursing, Dallas, Texas. Laura Kubin, PhD, RN, CPN, CHES, CNE, CHSE, is a professor. Niki Fogg, MS, RN, CPN, CHSE, CNE, is an associate clinical professor. Michele Trinka, MSN, RN, CCRN-K, PCCN-K, CHSE, is an associate clinical professor. For more information, contact Dr. Kubin at .

Acute care pediatric clinical experiences for undergraduate nursing students can present a challenge given the limited availability of clinical sites, increased restrictions, and variations in direct patient care experiences. Unfolding virtual individual patient pediatric simulations were developed using complex pediatric disorders with multiple physiological, psychosocial, and developmental components. Ten unfolding simulations were implemented to standardize clinical experiences and replace clinical hours.

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Background: Concern has been raised related to the rigor of DNP team projects due to the potential lack of individual opportunity for growth. However, team science, the scientific collaboration conducted by more than one individual in an interdependent fashion, is becoming standard practice for scientific inquiry and dissemination. DNP team projects provide an opportunity to demonstrate competencies related to collaboration, communication, organization, planning, reliability, accountability and acknowledgement of other opinions, expertise, and contributions.

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Maintaining the Watch.

Am J Nurs

May 2022

Kristine Morris is an associate clinical professor at Texas Woman's University College of Nursing, Denton. Contact author: . Reflections is coordinated by Madeleine Mysko, MA, RN: . Illustration by Janet Hamlin. A podcast of this essay is available at www.ajnonline.com .

One nurse's struggle to care for an aging parent.

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Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Comput Inform Nurs

May 2021

Author Affiliations: California State University (Dr Schultz); Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University (Ms Walden); Department of Emergency Medicine, Columbia University School of Nursing (Dr Cato); Grand Valley State University (Dr Coviak); Global Health Technology & Informatics, Chevron, San Ramon, CA (Mr Cruz); Saint Camillus International University of Health Sciences, Rome, Italy (Dr D'Agostino); Duke University School of Nursing (Mr Douthit); East Carolina University College of Nursing (Dr Forbes); St Catherine University Department of Nursing (Dr Gao); Texas Woman's University College of Nursing (Dr Lee); Assistant Professor, University of North Carolina at Greensboro School of Nursing (Dr Lekan); University of Wisconsin School of Nursing (Ms Wieben); and Vanderbilt University School of Nursing, and Tennessee Valley Healthcare System, US Department of Veterans Affairs (Dr Jeffery).

Data science continues to be recognized and used within healthcare due to the increased availability of large data sets and advanced analytics. It can be challenging for nurse leaders to remain apprised of this rapidly changing landscape. In this article, we describe our findings from a scoping literature review of papers published in 2019 that use data science to explore, explain, and/or predict 15 phenomena of interest to nurses.

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A considerable number of women undergoing mastectomies are "choosing to go flat," forgoing reconstruction. This integrative review sought to identify satisfaction outcomes and relevant factors among these women. Using variations of the key word "going flat," a systematic search of 7 databases was conducted.

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Background: Reflective practice affects all levels of nursing, including students, as well as practicing nurses. Self-reflective practice is a widespread concept in nursing; however, few empirical studies have demonstrated the possible effects of such a practice. The purpose of this integrative literature review was to identify evidence of the effects of self-reflective practice on baccalaureate-level nursing students, especially stress.

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