Evidence map›Paper›PMID 42286161›Full record

ArticleNPJ digital medicine2026

Virtual nursing implementation and 30-day patient readmissions: a multi-site study.

Saif Khairat, Zhaoqiang Zhou, Jennifer Morelli, Kevin Joseph Anstrom, Cheryl B Jones

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Saif KhairatCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. saif@unc.edu.
Zhaoqiang ZhouCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jennifer MorelliSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kevin Joseph AnstromGillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Cheryl B JonesSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Center for Virtual Care Value and Excellence (ViVE). RC2TR004380 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saif Khairat · 2023 to 2026
$3.0M
Evaluating Nurse Demands and Resources with Virtual Nursing to Mitigate BurnoutR01NR021711 · NINR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Saif Khairat · 2026 to 2026
$742k
NCATS NIH HHS RC2 TR004380NCATS NIH HHS RC2TR004380NINR NIH HHS R01 NR021711NINR NIH HHS R01NR021711
6 · The paper itself

Abstract

Current nursing workload and staffing shortages have been associated with adverse patient outcomes, including readmissions. Virtual Nursing (VN) is an emerging care delivery model that shifts selected clinical tasks from bedside nurses to remotely located virtual nurses, but its impact on patient outcomes remains unclear. We conducted a retrospective cohort study across nine hospitals in a major Southeastern U.S. health system, including adult patients discharged from inpatient units during the 12 months before and after VN implementation between 2022 and 2024. VN-assisted discharges were compared with traditional in-person discharges using propensity score matching and staggered difference-in-differences analyses. After matching, 4662 VN-assisted and 4662 in-person discharge encounters were included. Patients discharged through VN had lower 30-day emergency department readmission rates than those receiving traditional discharge care (3.7% vs. 13.3%; P < 0.001), despite similar baseline readmission risk scores. VN was associated with a lower readmission risk (risk ratio, 0.28; 95% CI, 0.24-0.33) and absolute risk difference (-0.10; 95% CI, -0.11 to -0.08). Similar reductions were observed in both urban and rural hospitals. These findings suggest that centralized VN-supported discharge may improve discharge processes without worsening short-term patient outcomes.

Identifiers

PMID42286161
PMCPMC13616903

What OpenQuestion holds

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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.