Evidence map›Paper›PMID 32099862›Full record

ArticleInternational journal of nursing sciences2020

Knowledge, attitude and practice regarding nursing interruptions among Chinese nurses: A nationwide cross-sectional survey.

Jianfei Xie, Qian Sun, Siyuan Tang, Siqing Ding, Zhuqing Zhong, Sainan Zeng, Yinglong Duan, Xiangyan Zhang, Andy Sk Cheng

Open access · goldAbstract read
In one paragraph

Article in International journal of nursing sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

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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

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3 · Its place in the literature

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6 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

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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 at 3 institutions in 2 countries.

Jianfei XieThird Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qian SunXiang Ya Nursing School, Central South University, Changsha, Hunan, China.
Siyuan TangXiang Ya Nursing School, Central South University, Changsha, Hunan, China.
Siqing DingThird Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhuqing ZhongThird Xiangya Hospital, Central South University, Changsha, Hunan, China.
Sainan ZengThird Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yinglong DuanThird Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xiangyan ZhangSecond Xiangya Hospital, Central South University, Changsha, Hunan, China.
Andy Sk ChengThe Hong Kong Polytechnic University, Department of Rehabilitation Sciences, Hong Kong, China.
Central South University · CNHong Kong Polytechnic University · HKThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the knowledge, attitude and practice of Chinese nurses regarding nursing interruptions and related factors.

methodsA total of 6,400 nurses from 31 hospitals in China were investigated by using the Knowledge, Attitude and Practice (KAP) Questionnaire of Nursing Interruptions. The questionnaire consists of three dimensions, knowledge, attitude and practice, containing 10, 9 and 7 items, with full score of 50, 45 and 28, respectively.

resultsThe mean overall KAP score regarding nursing interruptions of Chinese nurses was 74.05 ± 16.65 (range: 26-123), with scores for the knowledge, attitude, and practice component being 21.74 ± 9.80, 34.83 ± 6.98, and 17.49 ± 4.97, respectively. Among the nurses, 70.8% of them experienced an average level of KAP toward nursing interruptions while 15.5% were at a poor level. The knowledge, attitude, and practice of nursing interruptions were better in chief nurses, managers, nurses with a master degree or above, nurses ever received training, and nurses with a strong agreement to leadership compared to nurses in other groups (

conclusionChinese nurses have a moderate level of KAP regarding nursing interruptions. Leaders' attention, standardized training, position, professional title and employment type could predict nurses' KAP state of nursing interruptions. Thus, a targeted training program should be implemented for clinical nurses by nursing leaders, with a particular focus on feasibility and professionalism.

Indexed as

AttitudeKnowledgeNursingNursing interruptionsPracticeQuestionnaires

Identifiers

PMID32099862
PMCPMC7031111
OpenAlexW2996750964

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.