Evidence map›Paper›PMID 37986063›Full record

ArticleBMC medical education2023

A confirmatory factor analysis of the Iranian version of the interpersonal communication skills scale among healthcare professionals.

Arash Salahshouri, Sheida Fathi, Mostafa Jiba, Hashem Mohamadian, Jafar Kordzanganeh

Abstract read
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Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Arash SalahshouriHealth Education & Promotion Department, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Sheida FathiMaster of Science in Health Education & Promotion, Ahvaz West Health Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mostafa JibaPublic Health Department, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Hashem MohamadianHealth Education & Promotion Department, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. postekan1789@gmail.com.
Jafar KordzanganehSocial Science Department, Payame Noor University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying healthcare professionals' (HCPs) communication skills is crucial to improving patient outcomes. Iranian HCPs' interpersonal communication skills (ICS) were validated using a culturally appropriate and indigenous scale. MATERIALS AND

methodsIn November and December 2021, convenience sampling was used to collect data from 170 HCPs. Seven factors were covered by the questionnaire, which consisted of 30 items. In order to validate the scale, first- and second-order confirmatory factor analyses (CFA) were performed. Various indices were used during the CFA, including Goodness of Fit Index (GFI), Adjusted Goodness of Fit (AGFI), Comparative Fit Index (CFI), Normed Fit Index (NFI), Standardized Root Mean Square Residual (SRMR), and Root Mean Square Error of Approximation (RMSEA). The Fornell-Larcker Criterion was used to assess discriminant validity. We analyzed the data in Lisrel 8.8 and SmartPLS 3.2.8.

resultsAccording to the Q2-index obtained from the blindfold test, the model had 44% predictive power. First-order CFA results showed acceptable indices (χ2 = 767.17; DF = 375; CFI = 0.98; GFI = 0.82; AGFI = 0.80; NFI = 0.97; SRMR = 0.22; RMSEA = 0.068). Furthermore, the second-order measurement model demonstrated adequate and desirable fit indices (χ2 = 797.24; DF = 381; CFI = 0.98; GFI = 0.82; AGFI = 0.78; NFI = 0.97; SRMR = 0.059; RMSEA = 0.068). General and listening skills were ranked highest in the importance-performance map analysis (IPMA).

conclusionHCPs could benefit from this scale as it can assist them in developing ICS. It is recommended that skills training programs be replicated among different populations to evaluate their effectiveness.

Indexed as

CommunicationDelivery of Health CareFactor Analysis, StatisticalHumansIranPsychometricsReproducibility of ResultsSurveys and QuestionnairesComprehensive health centersConfirmatory factor analysisHealthcare professionalsImportance performance map analysisInterpersonal communication skills

Identifiers

PMID37986063
PMCPMC10662566

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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.