Evidence map›Paper›PMID 37989373›Full record

ArticleBMJ open2023

Comparative survey among paediatricians, nurses and health information technicians on ethics implementation knowledge of and attitude towards social experiments based on medical artificial intelligence at children's hospitals in Shanghai: a cross-sectional study.

Yingwen Wang, Weijia Fu, Ying Gu, Weihan Fang, Yuejie Zhang, Cheng Jin, Jie Yin, Weibing Wang, Hong Xu, Xiaoling Ge and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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

18 authors at 2 institutions in 1 country.

Yingwen Wang *Nursing Department, Children's Hospital of Fudan University, Shanghai, China.
Weijia Fu *Medical Information Center, Children's Hospital of Fudan University, Shanghai, China.
Ying GuNursing Department, Children's Hospital of Fudan University, Shanghai, China.
Weihan FangShanghai Pinghe Bilingual School, Shanghai, China.
Yuejie ZhangSchool of Computer Science, Fudan University, Shanghai, China.
Cheng JinSchool of Computer Science, Fudan University, Shanghai, China.
Jie YinSchool of Philosophy, Fudan University, Shanghai, China.
Weibing WangSchool of Public Health, Fudan University, Shanghai, China.ORCID 0000-0002-4497-5251
Hong XuNephrology Department, Children's Hospital of Fudan University, Shanghai, China.ORCID 0000-0001-7617-0872
Xiaoling GeStatistical and Data Management Center, Children's Hospital of Fudan University, Shanghai, China.
Chengjie YeMedical Information Center, Children's Hospital of Fudan University, Shanghai, China.
Liangfeng TangMedical Information Center, Children's Hospital of Fudan University, Shanghai, China.
Jinwu FangSchool of Public Health, Fudan University, Shanghai, China.
Daoyang WangSchool of Computer Science, Fudan University, Shanghai, China.
Ling SuChildren's Hospital of Fudan University, Shanghai, China.
Jiayu WangMedical Information Center, Children's Hospital of Fudan University, Shanghai, China.
Xiaobo ZhangRespiratory Department, Children's Hospital of Fudan University, Shanghai, China zhangxiaobo0307@163.com fengrui@fudan.edu.cn.ORCID 0000-0002-0155-5046
Rui FengMedical Information Center, Children's Hospital of Fudan University, Shanghai, China zhangxiaobo0307@163.com fengrui@fudan.edu.cn.
Children's Hospital of Fudan University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesImplementing ethics is crucial to prevent harm and promote widespread benefits in social experiments based on medical artificial intelligence (MAI). However, insufficient information is available concerning this within the paediatric healthcare sector. We aimed to conduct a comparative survey among paediatricians, nurses and health information technicians regarding ethics implementation knowledge of and attitude towards MAI social experiments at children's hospitals in Shanghai. DESIGN AND

settingA cross-sectional electronic questionnaire was administered from 1 July 2022 to 31 July 2022, at tertiary children's hospitals in Shanghai.

participantsAll the eligible individuals were recruited. The inclusion criteria were as follows: (1) should be a paediatrician, nurse and health information technician, (2) should have been engaged in or currently participating in social experiments based on MAI, and (3) voluntary participation in the survey. PRIMARY OUTCOME: Ethics implementation knowledge of and attitude to MAI social experiments among paediatricians, nurses and health information technicians.

resultsThere were 137 paediatricians, 135 nurses and 60 health information technicians who responded to the questionnaire at tertiary children's hospitals. 2.4-9.6% of participants were familiar with ethics implementation knowledge of MAI social experiments. 31.9-86.1% of participants held an 'agree' ethics implementation attitude. Health information technicians accounted for the highest proportion of the participants who were familiar with the knowledge of implementing ethics, and paediatricians or nurses accounted for the highest proportion among those who held 'agree' attitudes.

conclusionsThere is a significant knowledge gap and variations in attitudes among paediatricians, nurses and health information technicians, which underscore the urgent need for individualised education and training programmes to enhance MAI ethics implementation in paediatric healthcare.

Indexed as

Artificial IntelligenceHealth Knowledge, Attitudes, PracticeAttitude of Health PersonnelChildChinaCross-Sectional StudiesHospitalsHumansPediatriciansSurveys and QuestionnairesETHICS (see Medical Ethics)HEALTH SERVICES ADMINISTRATION & MANAGEMENTInformation technologyPAEDIATRICS

Identifiers

PMID37989373
PMCPMC10668289
OpenAlexW4388871154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.