Evidence map›Paper›PMID 37047883›Full record

ArticleInternational journal of environmental research and public health2023

Analyzing and Validating a Structure for Measuring the Nurse Practice Environment.

John Rodwell, Thomas Hendry, Dianne Johnson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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.

John RodwellDepartment of Management and Marketing, Swinburne University of Technology, Melbourne, VIC 3122, Australia.ORCID 0000-0003-1682-0719
Thomas HendryDepartment of Management and Marketing, Swinburne University of Technology, Melbourne, VIC 3122, Australia.ORCID 0000-0001-5639-3606
Dianne JohnsonGriffith Business School, Griffith University, Brisbane, QLD 4111, Australia.ORCID 0000-0003-1000-2854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nurse shortages pose a challenge in many countries and retaining existing nursing staff is crucial to addressing these shortages. To inform possible interventions aimed at retaining nurses, managers need a comprehensive understanding of the nature of the nurse practice environment. The scales from two of the main instruments used to assess nurses' practice environments are tested. A survey of an online panel obtained responses from 459 Australian nurses. Analyses determined a combination of items with good construct validity and improved predictive utility for outcomes of interest for individual nurses. By essentially combining the best items from each instrument, a more comprehensive representation of the nurse work environment is obtained with improved predictive utility. The resulting combined set of scales is recommended for analyses of the nurse working environment and uses a combined set of scales from each of the two source instruments, namely: nurse participation in hospital affairs, recognition, nursing process, peer work standards, nursing competence, orientation, managers, resources, nurse-physician collaboration, and positive scheduling climate. Future research can then build on that strong set of items with a validated structure and predictive utility to inform management and interventions.

Indexed as

NursesNursing Staff, HospitalAustraliaHospitalsHumansJob SatisfactionSurveys and QuestionnairesWorkplacejob designMagnetnursespractice environmentpredictive utility

Identifiers

PMID37047883
PMCPMC10094027

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.