Evidence map›Paper›PMID 39443285›Full record

ArticleInternational journal of nursing practice2024

'Development and Psychometric Testing of the Lean Management Scale for Nursing Services in Hospitals'.

Çiğdem Torun Kılıç, Havva Öztürk

Abstract read
In one paragraph

Article in International journal of nursing practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Çiğdem Torun KılıçDepartment of Nursing Management, Faculty of Health Sciences, Karadeniz Technical University, Trabzon, Turkey.ORCID 0000-0002-7556-9010
Havva ÖztürkDepartment of Nursing Management, Faculty of Health Sciences, Karadeniz Technical University, Trabzon, Turkey.ORCID 0000-0001-8515-6263

Funding

Karadeniz Technical University Scientific Research Projects Coordination Unit
6 · The paper itself

Abstract

aimThe aim of this study is to develop a new instrument (The Lean Management Scale for Nursing Services in Hospitals- LMS-N) to evaluate the lean levels of nursing services in hospitals and to evaluate its psychometric properties.

methodA three-phase construct was used to develop this scale and to determine its psychometric properties: (1) creating the item pool, (2) preliminarily evaluating items and (3) evaluating psychometric properties. This methodological study evaluated the scale's face, content and construct validities, internal consistency, and temporal stability. The psychometric properties of the scale were tested with a total of 695 nurses in different sample groups. Data were collected between 18 November 2020 and 15 May 2021.

resultsThe scale's content validity index was 0.75. According to principal component analysis, the scale included 22 items and five subdimensions, and the total variance was 60.32%. In confirmatory factor analysis, the fit indices were good or acceptable for this construct. Its internal consistency was good or acceptable according to reliability analysis. Test-retest showed that the scale had temporal stability.

conclusionLean Management Scale in Nursing Services in Hospitals is a valid and reliable tool that can evaluate the level of leanness of nursing services. It provides a comprehensive evaluation with five subdimensions: management support, visual stock management, work environment layout, preventive notification system and waste detection.

Indexed as

PsychometricsAdultFemaleHumansMaleMiddle AgedNursing Service, HospitalNursing Staff, HospitalReproducibility of ResultsSurveys and Questionnairesinstrument developmentlean managementnursingpsychometrics

Identifiers

PMID39443285
PMCPMC11608920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.