Evidence map›Paper›PMID 41007585›Full record

ArticleInternational journal of environmental research and public health2025

Exploring the Relation Between Nursing Workload and Moral Distress, Burnout, and Turnover in Latvian Intensive Care Units: An Ecological Analysis of Parallel Data.

Olga Cerela-Boltunova, Inga Millere

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Olga Cerela-BoltunovaDepartment of Nursing and Midwifery, Riga Stradiņš University, LV-1067 Riga, Latvia.ORCID 0000-0001-8258-2005
Inga MillereDepartment of Nursing and Midwifery, Riga Stradiņš University, LV-1067 Riga, Latvia.

Funding

Riga Stradiņš University 5.2.1.1.i.0/2/24/I/CFLA/005
6 · The paper itself

Abstract

Latvia faces one of the lowest nurse-to-population ratios in the EU, resulting in critical staff shortages in intensive care units (ICUs). Nurses frequently care for more patients than recommended, which not only compromises patient safety but also places heavy psycho-emotional burdens on staff. The aim of this study was to examine organizational-level relationships between objectively measured ICU nursing workload and subjectively reported psycho-emotional outcomes, including moral distress, burnout, and intention to leave one's job. A secondary analysis combined data from two cross-sectional studies conducted in 2025. Workload was measured using 3420 Nursing Activities Score (NAS) protocols from three hospitals, while 155 ICU nurses from 16 units completed validated instruments assessing moral distress, burnout, and turnover intentions. The findings revealed persistent nurse shortages, with one ICU showing deficits exceeding 70% and mean NASs above 100 points per nurse per shift. Nurses reported moderate moral distress, particularly in situations of unsafe patient ratios and aggressive treatment, while burnout levels were moderate to high, especially in personal and work-related dimensions. About one-quarter of respondents were actively considering leaving their jobs. Moral distress significantly correlated with burnout (r = 0.357,

Indexed as

Burnout, ProfessionalIntensive Care UnitsMoralsNursing Staff, HospitalPersonnel TurnoverWorkloadAdultCross-Sectional StudiesEthical DilemmasFemaleHumansLatviaMaleMiddle Agedburnoutethical dilemmasintensive care unitsLatviapersonnel turnoverprofessionalworkload

Identifiers

PMID41007585
PMCPMC12469567

What OpenQuestion holds

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LicenceCC BY
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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.