Evidence map›Paper›PMID 40896058›Full record

ArticleCureus2025

Factors Related to Job Satisfaction Among Moroccan Nurses: A Cross-Sectional Secondary Data Analysis.

Wafaa Al Hassani, Youness El Achhab, Hafid Hachri, Abdelali Alaoui Belghiti, Chakib Nejjari

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Wafaa Al HassaniNursing Sciences, Euromed University of Fes, Fez, MAR.
Youness El AchhabBiological Sciences, Regional Center for Education and Training Careers Fez-Meknes, Fez, MAR.
Hafid HachriEpidemiology and Public Health, Country Office of Morocco, World Health Organization, Rabat, MAR.
Abdelali Alaoui BelghitiHealth Policy, Hospital Management, and Health Systems Development, Euromed University of Fes, Rabat, MAR.
Chakib NejjariEpidemiology and Public Health, Euromed Research Center, Euromed University of Fes, Fez, MAR.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background Nurses' job satisfaction directly affects the quality of patient care and organizational performance, yet little is known about its determinants in Morocco. This study assessed overall job satisfaction levels and examined how key demographic and workplace factors influence these levels. Methods and materials A secondary analysis was conducted on the 2018 Ministry of Health national survey of healthcare workers. The sample consisted of 842 nurses from 160 public institutions, selected through a stratified two-stage cluster design. Job satisfaction was measured with a 25‑item, seven-domain scale (total possible score=25-125; Cronbach's alpha=0.86). Descriptive statistics, Mann-Whitney U and Kruskal-Wallis tests, and multiple linear regression were used to explore associations between job satisfaction scores and demographic variables (age, gender, and years of experience) as well as workplace characteristics (institution type and geographic region). Results The mean total job satisfaction score was 71.5±12.7, indicating a moderate level overall. No significant differences were observed by gender or years of experience. Nurses aged 40-50 years scored higher than those aged <40 or >50 years (p<0.05). Health center nurses reported lower satisfaction than hospital or other facility nurses (p<0.01). Those in the north‑central region were less satisfied than their peers in the western and eastern southern regions (p<0.01). In multivariable analysis, only institution type (β=2.75, p<0.01) and region (β=1.24, p=0.03) remained significant predictors, although the adjusted R² was modest (0.025). Conclusion Moroccan nurses exhibit moderate job satisfaction overall, with notably lower scores in rural primary healthcare centers and less resourced regions. Addressing workplace conditions through infrastructure upgrades, incentive packages, staffing support, and professional development opportunities could enhance satisfaction and retention, ultimately improving health service equity and quality.

Indexed as

correlatesjob satisfactionmorocconursesregression analysis

Identifiers

PMID40896058
PMCPMC12396832

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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.