Evidence map›Paper›PMID 42830678›Full record

SynthesisJournal of nursing management2026

Development of a Nursing Practice Framework for 5G-Enabled Cross-Regional Remote Surgery.

Yaling Wang, Shuang Jin, Lili Chen, Yang Yu, Xiaofang Chen, Lan Jiang, Xiaodan Wu, Gang Chen, Hua Cao

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of nursing management, 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

9 authors.

Yaling WangDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0001-6415-4012
Shuang JinDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0008-0838-5044
Lili ChenDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0003-3844-4320
Yang YuDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0000-6255-834X
Xiaofang ChenDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0009-0005-9840-1949
Lan JiangDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0003-2778-1081
Xiaodan WuDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-0812-7546
Gang ChenDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0002-8105-2384
Hua CaoDepartment of Operating Room, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0001-9100-0927

Funding

National Natural Science Foundation of China 82271238National Natural Science Foundation of China U21A20357
6 · The paper itself

Abstract

objectiveEstablished perioperative and nursing theories provide foundations for patient safety, adaptation, caring, communication, and professional practice. This study aimed to develop a context-specific operational framework that applies and specifies these concepts for 5G-enabled cross-regional remote surgery, particularly in relation to technology-mediated care, distributed collaboration, and adaptive nursing capacity.

methodsThis mixed-methods study combined a systematic literature review (four databases; topic search, January 2000-July 2025; foundational theory searches unrestricted) with case analysis of two cross-continental, three-site 5G-enabled robotic surgeries. The review examined how established nursing theories and perioperative practice guidance have been applied to remote, robotic, and technology-mediated surgical contexts. Literature synthesis and case analysis were integrated to identify operational domains for framework development.

resultsEstablished nursing theories remained useful conceptual lenses for understanding patient safety, healthcare-system interaction, adaptation, communication, professional learning, and human responses to technologically advanced care environments. Case analysis did not indicate theoretical obsolescence; rather, it identified areas requiring context-specific operational specification in remote robotic surgical practice. The AORN perioperative patient-focused model, Roy's adaptation model, Benner's skill acquisition model, and related theories informed the proposed framework. In the two cases, remote nursing involved technological complexity, independent patient-site teams, and substantial interprofessional coordination. The proposed framework incorporates three interrelated components: (1) technology-mediated nursing, emphasizing integration of advanced technological systems into nursing judgment and care processes; (2) distributed nursing collaboration, addressing teamwork across geographically separated sites; and (3) nursing adaptive capacity, underscoring continuous learning and flexible response in dynamic technological environments. The preliminary framework may provide guidance for preoperative planning, intraoperative execution, and postoperative care in remote robotic surgery. IMPLICATIONS FOR NURSING MANAGEMENT: The preliminary framework may inform perioperative nurse managers, nursing directors, and operating room leaders in patient-site staffing and role allocation, training and competency assessment, standardized communication protocols, emergency drills, quality indicators, and distributed workflow oversight.

conclusionThe framework offers a preliminary, context-specific operational foundation for cross-regional remote robotic surgery nursing. It applies, specifies, and supplements established nursing theories rather than replacing them and may support process standardization and care-quality evaluation. Further multicenter validation, instrument development, and outcome-based evaluation are needed to refine its applicability.

Indexed as

Robotic Surgical ProceduresHumanscross-regional nursingdistributed healthcarenursing theoryremote surgeryrobotic surgery

Identifiers

PMID42830678
PMCPMC13635796

What OpenQuestion holds

Textmetadata
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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.