Evidence map›Paper›PMID 41943729›Full record

ArticleDelaware journal of public health2026

Pioneering the Nation's First Nursing Research Fellowship in Robotics and Innovation.

Susan D Smith, Kathryn Shady, Briana Abernathy, Morgan Tallo

Abstract read
In one paragraph

Article in Delaware journal of public health, 2026. 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

4 authors.

Susan D SmithChristianaCare.
Kathryn ShadyNemours Children's Hospital.
Briana AbernathyChristianaCare.
Morgan TalloWilmington University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Clinical nurse attrition from the bedside calls for innovative professional development strategies that diversify skills and support wellbeing and retention. To address this issue, the largest health system in Delaware implemented the nation's first Nursing Research Fellowship in Robotics and Innovation using external grant funding. Programmatic Methods: Following a competitive application pool, four bachelors-prepared clinical nurses were selected from two hospital campuses across four diverse practice areas. This eight-month, paid fellowship grounded in adult learning theory combined weekly didactic instruction with mentored, hands-on research in a structured, collaborative, and independent format. The nurse fellows serve as co-investigators on an IRB approved robotics study. Longitudinal pre-, mid-, and post-fellowship surveys assessed knowledge acquisition, program experience, and well-being. Programmatic Results: Nurse fellows demonstrated gains in research competencies and specialty areas that included protocol development, informatics, artificial intelligence, robotics, and techquity. All fellows reported increased job satisfaction, improved psychological wellbeing, enhanced professional confidence, and intent to remain at the bedside. Scholarly outcomes included multiple accepted national and regional conference abstracts, published commentary articles, and co-authorship of an original research manuscript. Conclusions: This novel fellowship effectively integrated research education, innovation, and paid protected time to strengthen clinical nurses' research capability, professional fulfillment, and retention to the bedside. This program offers a replicable model for advancing nursing workforce wellbeing through immersive, mentored research experiences.

Identifiers

PMID41943729
PMCPMC13048760

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.