Evidence map›Paper›PMID 41739475›Full record

ArticleJAMA network open2026

Hospital Nurse Understaffing and Patient Mortality, Readmission, and Length of Stay.

Noriko Morioka, Mutsuko Moriwaki, Atsushi Miyawaki, Christina Saville, Kiyohide Fushimi, Peter Griffiths

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Noriko MoriokaDepartment of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Mutsuko MoriwakiQuality Management Center, Institute of Science Tokyo, Tokyo, Japan.
Atsushi MiyawakiPublic Health Research Group, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Christina SavilleHealth Workforce and Systems, School of Health Sciences, University of Southampton, Southampton, United Kingdom.
Kiyohide FushimiDepartment of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan.
Peter GriffithsHealth Workforce and Systems, School of Health Sciences, University of Southampton, Southampton, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Although higher nurse staffing has been linked to better patient outcomes, most studies rely on aggregate measures, leaving the effects of deviations from ward- and shift-level norms (daily and per shift) unclear. Clarifying these effects can inform ward-level staffing decisions. Objective: To investigate the association between nurse understaffing, relative to typical ward staffing levels, during the 24-hour period, day shift, and evening and night shift and patient risk for in-hospital mortality, readmission, and longer length of stay (LOS). Design, Setting, and Participants: This retrospective cohort study used claims data and shift-ward rosters from 82 wards in 9 hospitals in Japan. Included patients were aged 20 years or older and hospitalized between April 1, 2019, and March 31, 2020. Analyses were performed from March 20 to November 12, 2025. Exposure: Nurse understaffing was defined as average nurse hours per patient-day below each ward's annual median, assessed for the 24-hour period, day shift, and evening and night shift. Main Outcomes and Measures: The primary outcomes assessed were in-hospital mortality, 7-day and 30-day readmissions, and LOS. Propensity score matching (PSM) and multilevel models adjusted for confounding. Results: This study included 77 289 hospital admissions. Patients had a mean (SD) age of 69.3 (15.1) years, 57.2% were male, and 53.2% were admitted for surgery. Of these admissions, 28 846 matched pairs were included in the in-hospital mortality analysis and 27 907 matched pairs were included in the readmission analysis. After PSM, patients exposed to nurse understaffing during the 24-hour period and day shift had higher in-hospital mortality rates (3.1% vs 2.8% and 3.2% vs 2.8%; both P = .02); those exposed to understaffing during the 24-hour period also had higher 30-day readmission rates (11.2% vs 10.5%; P = .01), whereas those exposed to understaffing during the day shift had higher 7-day readmission rates (2.3% vs 2.1%; P = .04). Understaffing during the evening and night shift was not associated with these outcomes. LOS after PSM was longer when understaffing occurred during the 24-hour period (mean [SD], 14.6 [16.3] vs 13.8 [16.5] days), day shift (14.7 [16.4] vs 13.7 [16.2] days), or evening and night shift (14.1 [16.2] vs 13.6 [16.4] days) (all P < .001). Conclusions and Relevance: In this cohort study, nurse understaffing during the 24-hour period (specifically during the day shift) was associated with increased risk of in-hospital mortality, hospital readmission, and longer LOS. These findings suggest that close attention to daily staffing levels and prompt action to address understaffing may help improve patient outcomes. Nurse managers should routinely monitor deviations from this benchmark to address immediate needs and enable rapid adjustments through feasible strategies.

Indexed as

Hospital MortalityLength of StayNursing Staff, HospitalPatient ReadmissionPersonnel Staffing and SchedulingAdultAgedFemaleHumansJapanMaleMiddle AgedRetrospective Studies

Identifiers

PMID41739475
PMCPMC12936879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.