Evidence map›Paper›PMID 40893580›Full record

ArticleInternational journal of nursing studies advances2025

Job preference of nurse practitioners: A simulation approach.

Yin Li, John Howell, Jeannie P Cimiotti

Abstract read
In one paragraph

Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yin LiNell Hodgson Woodruff School of Nursing, Emory University, Atlanta GA, USA.
John HowellDepartment of Marketing and Global Supply Chain, Brigham Young University, Provo UT, USA.
Jeannie P CimiottiNell Hodgson Woodruff School of Nursing, Emory University, Atlanta GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Understanding the job preferences of nurse practitioners is crucial for developing policies that attract and retain them in the healthcare workforce, ensuring better healthcare delivery. The aim of this study was to analyze and simulate the job preferences of nurse practitioners, focusing on the impact of various job attributes such as independent practice, practice environment, and salary on their decision-making. Methods: The study used a simulation approach based on a discrete choice experiment survey to predict the job choices of nurse practitioners under different scenarios. The study was conducted in the state of Georgia, USA. 372 survey respondents who were licensed and employed nurse practitioners were included. The likelihood of nurse practitioners choosing a job based on changes in job attributes was analyzed using a hierarchical Bayesian Multinomial Logit model. Results: Nurse practitioners highly value an excellent practice environment and independent practice. A very cohesive interprofessional team and responsive administration significantly influenced job choices. Nurse practitioners might be willing to accept a 10 % salary decrease or a longer commute time for a job with an excellent practice environment. Conversely, they required independent practice for a 10 % salary increase to be attractive. Additionally, the preference for independent practice outweighed the importance of higher salaries and shorter commute time. Conclusion: The study highlights the importance of an excellent practice environment and independent practice in the job preference of nurse practitioners. Healthcare organizations should focus on creating supportive, collaborative work environments and enabling greater autonomy for nurse practitioners. Policymakers should consider revising regulations to expand nurse practitioners' scope of practice.

Indexed as

Discrete choice experimentIndependent practiceJob choiceNurse practitionersPractice environmentSimulation

Identifiers

PMID40893580
PMCPMC12395149

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.