Evidence map›Paper›PMID 35506434›Full record

ArticleJournal of nursing management2022

Front-line staff perspectives on a caring culture in Chinese hospitals: Validation of a Chinese version of the Culture of Care Barometer.

Liying Ying, Joanne M Fitzpatrick, Julia Philippou, Yaping Zhang, Trevor Murrells, Anne Marie Rafferty

Abstract read
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Article in Journal of nursing management, 2022. 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
–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

4 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

6 authors.

Liying YingDepartment of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0001-9251-9771
Joanne M FitzpatrickFlorence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.
Julia PhilippouFlorence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.
Yaping ZhangGeneral Office of the Administration, Zhejiang Provincial People's Hospital, Hangzhou, China.
Trevor MurrellsFlorence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.
Anne Marie RaffertyFlorence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study is to examine the psychometric properties of the Chinese version of the Culture of Care Barometer in health care organizations.

backgroundThere is a lack of tools to gauge the caring culture in Chinese hospitals. The Culture of Care Barometer is a psychometrically sound measure for caring culture developed in Western settings.

methodsThis study was guided by Sousa and Rojjanasrira's methodological approach. A total of 2365 staff were recruited from two tertiary hospitals. The Barometer was administered with the Hospital Culture Evaluation Index and Minnesota Satisfaction Questionnaire.

resultsThe content validity index was calculated as 0.99. The goodness-of-fit indices, apart from the model chi-square, which was statistically significant, all exceeded established thresholds for adequate fit. The internal consistency was very satisfactory. Pearson's correlation indicated that the tool has good concurrent and convergent validity.

conclusionsThe Barometer is a reliable and valid instrument to assess front-line staff perspectives on a caring culture in Chinese hospitals. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing managers can use the Barometer to gauge the caring culture in China. Tailored interventions can be designed to address specific domains, and additional support can be provided to more vulnerable departments or staff groups.

Indexed as

HospitalsChinaHumansPsychometricsReproducibility of ResultsSurveys and Questionnairescaring cultureChinaCulture of Care Barometermeasurementvalidation

Identifiers

PMID35506434
PMCPMC9796908

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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.