Evidence map›Paper›PMID 40917445›Full record

ArticleJournal of nursing management2025

Factors Affecting Nurses' Walking Distance: Age, Clinical Ladder Level, Wards, Nurse Calls, Weekend, and Patient-To-Nurse Ratio.

Keisuke Nakashima, Yoshiaki Inoue, Tomoyuki Iwasaki, Haruna Fukushige, Atsue Ishii

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Keisuke NakashimaDepartment of Medical Informatics, Graduate School of Medicine, The University of Osaka, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0009-0003-3743-8225
Yoshiaki InoueDepartment of Information and Communications Technology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-2483-7652
Tomoyuki IwasakiDivision of Nursing, The University of Osaka Hospital, 2-15 Yamadaoka, Suita, Osaka 565-0871, Japan.
Haruna FukushigeDepartment of Nursing, Graduate School of Health Sciences, Kobe University, 7-10-2 Tomogaoka, Suma-ku, Kobe, Hyogo 654-0142, Japan.ORCID 0000-0001-9906-9881
Atsue IshiiDivision of Health Science, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0009-0005-4917-0187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many developed countries, a rapidly aging population has increased healthcare demands and the proportion of older nurses in the workforce. This demographic shift requires nursing managers to have a deeper understanding of the physical demands on staff nurses, particularly older ones. In this paper, we aim to provide valuable insights for developing evidence-based strategies to improve work environments in hospital wards. To achieve this, we conducted a statistical analysis of data on walking distance for day, long-day, and night shifts, obtained from a long-term survey across 14 wards in a large acute care hospital in Japan using automated data collection via mobile devices. Using nonparametric multiple comparisons and multiple regression analysis, we evaluated the impact of factors such as age, clinical ladder level, years of service, ward type, nurse calls, weekend, and patient-to-nurse ratio on walking distance. The multiple comparison tests revealed significant differences in walking distance among clinical ladder levels, with small to medium effect sizes. While age and years of service had some impact, their influence was less pronounced than that of clinical ladder levels. Our regression analysis showed that ward characteristics significantly affected walking distance, with emergency wards exhibiting notably longer distances. The number of nurse calls had a significant positive impact on walking distance across all shifts, while the patient-to-nurse ratio significantly affected walking distance only for night shifts. The weekend affected walking distance only for long-day shifts. These findings suggest that ward managers should reexamine the appropriate nursing care systems suited to the characteristics of their ward, and that reconsidering approaches to task assistance for less experienced nurses and night shift allocations for novice nurses could effectively reduce physical burdens on nurses. They also emphasize the importance of workload balancing in task and patient assignments and the consideration of ward characteristics in nurse reshuffling.

Indexed as

NursesNursing Staff, HospitalPersonnel Staffing and SchedulingWalkingAdultAge FactorsFemaleHumansJapanMaleMiddle AgedSurveys and QuestionnairesWorkloadWorkplace

Identifiers

PMID40917445
PMCPMC12411061

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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.