Evidence map›Paper›PMID 42758713›Full record

ArticlePloS one2026

Psychometric features of the Patient-Centered Communication Scale among Iranian clinical nurses.

Saeed Ghasempour, Hossein Bagheri, Hamid Sharif-Nia, Zahra Ashrafi, Mohammadjavad Bagherian, Ali Abbasi

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Saeed GhasempourStudent Research Committee, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.ORCID https://orcid.org/0000-0001-9875-9127
Hossein BagheriDepartment of Nursing, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Hamid Sharif-NiaPsychosomatic Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Zahra AshrafiDepartment of Nursing, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Mohammadjavad BagherianStudent Research Committee, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Ali AbbasiCenter for Health Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring patient-centered communication seems essential from the perspective of nurses as the primary healthcare providers. The Patient-Centered Communication Scale (PCCS) is one of the instruments that makes it possible to achieve this goal. Therefore, since no version apart from the original version of this instrument has been psychometrically tested in other countries, including Iran, this study aimed to culturally adapt and psychometrically evaluate the PCCS in Iranian clinical nurses.

methodsThe current methodological study was conducted in hospitals associated with Shahroud University of Medical Sciences. Content validity was examined through qualitative and quantitative methods by specialists in patient-centered communication and nurse-patient communication. Factor analysis, including exploratory and confirmatory approaches, was employed to determine the factor structure and model fit of the Persian version of the PCCS. The convenience sampling approach enabled the achievement of the aforementioned goal by collecting two independent samples of 150 qualified clinical nurses each, totaling 300 qualified clinical nurses. Internal consistency was evaluated using Cronbach's alpha and McDonald's omega coefficients, while external stability was quantified by the intraclass correlation coefficient (ICC).

resultsThe expert panel's comments suggested deleting item 4 due to substantial conceptual overlap with item 5. Exploratory factor analysis revealed a single factor with an eigenvalue of 8.56, explaining 77.78% of the entire variance of the Persian version of this scale. Confirmatory factor analysis also supported the single-factor structure of the Persian version of the mentioned scale. The Cronbach's alpha and McDonald's omega coefficients exceeded 0.70, indicating satisfactory internal consistency, while the ICC value exceeded 0.80, showing favorable external stability.

conclusionThe favorable psychometric features suggest the use of the Persian version of the mentioned scale to identify factors related to this concept in clinical settings and determine the effectiveness of various interventions to promote this specific type of communication. However, the single-center data collection constrains the generalizability of the findings to clinical nurses employed in medical centers linked to other Iranian universities of medical sciences and non-university facilities, including private medical centers.

Indexed as

CommunicationNurse-Patient RelationsNursesPatient-Centered CarePsychometricsAdultFactor Analysis, StatisticalFemaleHumansIranMaleSurveys and Questionnaires

Identifiers

PMID42758713
PMCPMC13588382

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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 Socratic graph.