Evidence map›Paper›PMID 36673524›Full record

ArticleHealthcare (Basel, Switzerland)2023

Nurses' Organization of Work and Its Relation to Workload in Medical Surgical Units: A Cross-Sectional Observational Multi-Center Study.

Federica Maria Pia Ferramosca, Maddalena De Maria, Dhurata Ivziku, Barbara Raffaele, Marzia Lommi, Maria Ymelda Tolentino Diaz, Graziella Montini, Barbara Porcelli, Anna De Benedictis, Daniela Tartaglini and 1 more

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Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

11 authors.

Federica Maria Pia FerramoscaDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.
Maddalena De MariaDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-0507-0158
Dhurata IvzikuDegree Course in Nursing, UniCamillus International Medical University, 00131 Rome, Italy.ORCID 0000-0003-0091-7524
Barbara RaffaeleDegree Course in Nursing, University of Rome Tor Vergata, 00133 Rome, Italy.
Marzia LommiDegree Course in Nursing, University of Rome Tor Vergata, 00133 Rome, Italy.
Maria Ymelda Tolentino DiazDegree Course in Nursing, University of Rome Tor Vergata, 00133 Rome, Italy.
Graziella MontiniLocal Health Authority Roma 2, 00159 Rome, Italy.
Barbara PorcelliDegree Course in Nursing, University of Rome Tor Vergata, 00133 Rome, Italy.
Anna De BenedictisDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, 00128 Rome, Italy.
Daniela TartagliniDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, 00128 Rome, Italy.
Raffaella GualandiDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, 00128 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWork contexts can affect nurses' work and work outcomes. Work context factors of nurses, patients, or workflow can modulate nurses' organization of work and determine increased workloads.

aimThe aim of this research was to analyze relationships between factors regarding the patient, the nurse, workflow, and nurses' work organization, to investigate whether work organization is related to physical, mental, and emotional workloads, and to explore whether one dimension of workload influences the other dimensions.

methodsWe used a cross-sectional design based on the Job Demand-Resources theory. We asked registered nurses, working in nine medical-surgical wards across three hospitals in Italy, to self-report on work organization and workloads regarding randomized shifts over three consecutive weeks. Four scales from the QEEW 2.0 questionnaire were used on an online survey for data collection. multivariable linear regressions with structural equation modelling were tested. The study was approved by the three local Ethics Committees.

resultsWe received 334 questionnaires regarding 125 shifts worked. Patient complexity (β = 0.347), patient specialties (β = 0.127), adequacy of staffing (β = -0.204), collaboration with colleagues (β = -0.155), unscheduled activities (β = 0.213), supply search (β = 0.141), and documentation (β = 0.221) significantly influenced nurses' work organization. Nurses' work organization was significantly related to physical, mental, and emotional nursing workloads.

conclusionsthe patient, the nurse, and workflow aspects influence nurses' work organization and workloads. Healthcare organizations, managers, and nurses should explore work settings to identify work turbulences early and implement strategies to improve nursing work conditions and workloads.

Indexed as

hospitalsnursesworkflowworking conditionsworkloadworkplace

Identifiers

PMID36673524
PMCPMC9858832

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LicenceCC BY
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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.