Evidence map›Paper›PMID 38947361›Full record

ArticleHealth care science2024

Animation-guided family empowerment program on perioperative care after neurosurgery: A randomized controlled trial for preventing respiratory complications.

Yunfen Lv, Ziwei Zhao, Xinyi Wu, Yao Wang, Shanshan Qiu

Abstract read
In one paragraph

Article in Health care science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

5 authors.

Yunfen LvDepartment of Pediatric Neurosurgery Shanghai Children's Medical Center Shanghai China.
Ziwei ZhaoDepartment of Pediatric Neurosurgery Shanghai Children's Medical Center Shanghai China.
Xinyi WuDepartment of Pediatric Neurosurgery Shanghai Children's Medical Center Shanghai China.
Yao WangDepartment of Pediatric Neurosurgery Shanghai Children's Medical Center Shanghai China.
Shanshan QiuDepartment of Pediatric Neurosurgery Shanghai Children's Medical Center Shanghai China.ORCID 0000-0001-9594-2225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the effectiveness of using animation as education material for family empowerment program on perioperative care for caregivers whose children were to undergo neurosurgery. Methods: A total of 204 caregivers were randomly assigned to either the face-to-face oral nursing educated group (Oral Group) or the animation-assisted nursing educated group (Animated Group). The nursing education primarily focused on instructing caregivers about the manual vibration method. The primary outcome of interest in this study was participants' knowledge level, collected by a 10-item questionnaire. Secondary outcomes included child patients' clinical data, including hospitalization days, treatments, and signs of pneumonia. Results: Participants in the Animated Group exhibited significantly higher accuracy in perioperative care knowledge assessment, and patients in this group had a lower chance of requiring atomization therapy compared to the Oral Group. Conclusions: The animation-assisted nursing education program effectively enhances pediatric caregivers' knowledge, reduces respiratory complications after surgery, and offers valuable insights for future studies on the use of such programs to instruct caregivers.

Indexed as

animationempowermentpediatricperioperative carepneumonia

Identifiers

PMID38947361
PMCPMC11212325

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.