The study of optimal nursing position in health care delivery system in Iran.

Iran J Nurs Midwifery Res

Nursing Education, Department of Nursing Health, School of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran.

Published: July 2011

Background: In the recent decade, due to the overwhelming importance of health and prevention of diseases, nurses, the greatest part of the health care system, are acting in any position of the health care delivery system; because nursing have a key role in promotion of health and health care everywhere. The objective of this research was to study the desired positions of nursing in the health care delivery system in Iran.

Methods: This was a triangulation study done on three steps during 2005-2007. At the first step, the positions of nurses were elicited out of library and internet sources. At the second step, the comments of 15 participants were collected using an open questionnaire. Thereafter, at the third step, using the collected data, a questionnaire was made for a poll (all over the country) on the optimal positions of nursing in Iran, and 64 participants answered it. The results were analyzed using descriptive statistics.

Results: DERIVED POSITIONS WERE CATEGORIZED IN TWO GROUPS: hospital, and community positions. The results showed that all positions were accepted more than 70%.

Conclusions: Considering positions of nursing and in order to promote the nursing itself and community health, it is suggested that proper planning should be implemented for nurses' activities in these positions by health planners.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3093181PMC

Publication Analysis

Top Keywords

health care
20
care delivery
12
delivery system
12
positions nursing
12
health
9
position health
8
positions
8
nursing
6
care
5
study optimal
4

Similar Publications

Who is coming in? Evaluation of physician performance within multi-physician emergency departments.

Am J Emerg Med

January 2025

Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA; Center for Outcomes Research and Evaluation, Yale University, New Haven, CT, USA.

Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.

Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.

View Article and Find Full Text PDF

National early warning score 2 plus non-invasive capnography and perfusion index to estimate poor outcomes in emergency departments.

Am J Emerg Med

January 2025

Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.

Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).

Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.

View Article and Find Full Text PDF

A Preliminary Qualitative Exploration of the Lived Experiences of Presenteeism Among Taiwanese Nursing Staff.

J Nurs Adm

December 2024

Authors Affiliations: PhD Candidate (Hung) and Professor (Dr Jeng), School of Nursing, Taipei Medical University; Head Nurse (Hung) and Director (Dr Ming), Department of Nursing, Taipei Veterans General Hospital; Adjunct Assistant Professor (Dr Ming), School of Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei City; and Professor (Dr Tsao), Nursing Department and Graduate School, National Taipei University of Nursing and Health Sciences, Taiwan.

Objective: The aim of this study was to explore the lived experiences of presenteeism among Taiwanese nursing staffs.

Background: Presenteeism is a subjective and multifaceted experience, but nurses have rarely been invited to provide their own views of presenteeism.

Methods: A qualitative study based on content analysis was conducted.

View Article and Find Full Text PDF

Visibility, Physical Work Environment, and Stress in ICU Nurses.

J Nurs Adm

December 2024

Author Affiliations: Research Associate (Dr Keys), The Center for Health Design, Concord, California; National Senior Director (Dr Fineout-Overholt), Evidence-Based Practice and Implementation Science, at Ascension in St. Louis, MO.

Objective: Relationships among coworker and patient visibility, reactions to physical work environment, and work stress in ICU nurses are explored.

Background: Millions of dollars are invested annually in the building or remodeling of ICUs, yet there is a gap in understanding relationships between the physical layout of nursing units and work stress.

Methods: Using a cross-sectional, correlational, exploratory, predictive design, relationships among variables were studied in a diverse sample of ICU nurses.

View Article and Find Full Text PDF

Nurse Leader Perspectives and Experiences on Caregiver Support Following a Serious Medical Error.

J Nurs Adm

December 2024

Author Affiliations: Assistant Professor (Dr Prothero) and Nurse (Sorhus and Huefner), College of Nursing, Brigham Young University, Provo, Utah.

Objective: This study explored nurse leaders' perspectives and experiences in supporting nurses following a serious medical error.

Background: Appropriate support is crucial for nurses following an error. Authentic leadership provides an environment of psychological safety and establishes a patient safety culture.

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!