Evidence map›Paper›PMID 35371234›Full record

ArticleComputational intelligence and neuroscience2022

Research on the Construction of a Nursing Education Management Model Based on a Small Data-Driven Model and Its Application.

Qingna Lv, Yanyun Zhang, Yanyan Li, Yang Yu

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Qingna LvNursing Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116023, China.ORCID https://orcid.org/0000-0002-0526-6452
Yanyun ZhangCollege of Nursing, Inner Mongolia Minzu University, Tongliao, Inner Mongolia Autonomous Region 028000, China.
Yanyan LiCollege of Nursing, Chongqing Medical and Pharmaceutical College, Shapingba, Chongqing 401331, China.
Yang YuNursing Department, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116023, China.ORCID https://orcid.org/0000-0002-7339-9126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the concept of responsible holistic nursing care, a whole-process dual-tutor nursing practice model is established and its application effects are explored. This paper firstly reviews the research progress of nursing workload prediction methods at home and abroad, in order to provide a reference for clinical nursing workers in China to choose a scientific, reasonable, and easy-to-use nursing workload prediction method. It is proposed to construct a nursing education management model based on small data to provide ideas and references for nursing education management to effectively predict the evolutionary trend of students' behaviour and improve the level of accurate services. The experimental group adopted a dual-tutor responsibility system for the whole-process nursing practice model, including a complete three-level supervision system: a dual-tutor teaching system, a PDCA responsibility system for continuous improvement, and a multichannel teacher-student interaction platform; the control group adopted the traditional nursing practice model.

Indexed as

Education, NursingStudents, NursingChinaHumans

Identifiers

PMID35371234
PMCPMC8970898

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.