Evidence map›Paper›PMID 39443989›Full record

ArticleBMC nursing2024

Psychometric properties of the Chinese version of the nurses' attitudes towards communication with the patient scale among Chinese nurses.

Meng Yue, Qiaoling Chen, Ying Liu, Rui Cheng, Dengfen Zeng

Abstract read
In one paragraph

Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Meng YueChinese PLA Medical School, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
Qiaoling ChenDepartment of Nursing, the Fourth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 100038, China.
Ying LiuTianjin Huanhu Hospital, No. 6 Jizhao Road, Jinnan District, Tianjin, 300000, China.
Rui ChengTianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Dengfen ZengDepartment of Nursing, the Fourth Medical Center of Chinese PLA General Hospital, No. 51 Fucheng Road, Haidian District, Beijing, 100038, China. zdf_6688@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNurses' attitudes towards communication with patients influence the effectiveness of communication, which could reduce patients' negative emotions and improve their adherence to medication and treatment. The aim of this study was to develop a Chinese version of the nurses' attitudes towards communication with the patient (ACO) scale and examined its validity and reliability.

methodsThe Chinese version ACO scale was generated using the translation-backward translation method and cross-cultural adaption.The psychometric properties of the scale, including item-to-total correlations, discriminative validity, content validity, structural validity, convergent validity, internal consistency reliability and test-retest reliability, were evaluated. Data were collected from a convenience sample of 610 clinical nurses from four hospitals and were analyzed using both exploratory factor analysis and second-order confirmatory factor analysis.

resultThe reliability was demonstrated with item-to-total correlations of greater than 0.40, Cronbach's alpha of 0.946 and intraclass correlation coefficients of 0.879. Content validity was acceptable and discriminative validity showed a significant discriminative ability. Exploratory and confirmatory factor analyses revealed a three-factor model. Convergent validity was confirmed by a moderate relation with a measure for nurses' empathy (r = 0.375, P<0.01).The test-retest reliability was satisfactory within a 2-week interval.

conclusionThe ACO is a reliable and valid instrument to assess nurses' attitudes towards communication with patient in Chinese hospitals.

Indexed as

AttitudeCommunicationNursePatientsPsychometric

Identifiers

PMID39443989
PMCPMC11515601

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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.