Measuring Managerial, Collegial, and Organizational Aspects Associated With Digital Health Competence in Healthcare Professionals: Validation of the Chinese Version of the DigiComInf Instrument

<b>Background:</b> Managerial, collegial, and organizational influences have been recognized as critical factors for developing digital health competence among healthcare professionals, but there is currently a lack of validated Chinese instruments to evaluate these factors. <b>Aims:</b> To culturally adapt and validate the Chinese version of the DigiComInf (aspects associated with digital health competence) instrument among Chinese healthcare professionals. <b>Method:</b> The DigiComInf instrument was translated into Chinese following the established guidelines. The cultural adaptation involved expert review and cognitive interviews. A total of 311 healthcare professionals were sampled to test reliability and validity of the instrument, with 30 participants undergoing a retest after a 2-week interval. Item analysis, internal consistency, test-retest reliability, content validity, convergent validity, discriminant validity, and construct validity were examined. <b>Results:</b> Item analysis indicated satisfactory item discrimination (critical values range: 17.63-26.70), item correlation (corrected item-total correlation coefficient > 0.4), and item homogeneity. Internal consistency (Cronbach's α = 0.96) and test-retest reliability (Intraclass correlation coefficient = 0.96, 95% CI 0.91-0.98) were excellent. The scale content validity index was excellent (0.97). Principal component analysis extracted three common factors, explaining 80.54% of the cumulative variance. Confirmatory factor analysis confirmed a well-fit 3-factor model (<i>χ</i> <sup>2</sup>/<i>df</i> = 3.19, CFI = 0.94, NFI = 0.92, TLI = 0.93, IFI = 0.94, RMSEA = 0.10, and SRMSR = 0.04), with acceptable convergent and discriminant validity. <b>Conclusion:</b> The Chinese version of the DigiComInf is a reliable and valid instrument for assessing managerial, collegial, and organizational influences on the development of digital health competence among Chinese healthcare professionals. <b>Implications for Nursing Management:</b> This study presents a validated instrument to evaluate managerial, collegial, and organizational influences on healthcare professionals' digital health competence. Healthcare managers, healthcare providers, researchers, and policymakers can use it to accurately identify modifiable socio-organizational factors associated with digital health competence among various healthcare professionals in various settings, thereby informing targeted interventions to enhance their digital health competence.

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Publication Details

Journal
Journal of Nursing Management
Published
2025-01-01
DOI
https://doi.org/10.1155/jonm/8854459
Citations
2
Primary Topic
Electronic Health Records Systems
Type
article
Field-Weighted Citation Impact
5.88

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article

Measuring Managerial, Collegial, and Organizational Aspects Associated With Digital Health Competence in Healthcare Professionals: Validation of the Chinese Version of the DigiComInf Instrument

Jinni Wang, Mei-Lian Chen, Xiaoyan Liao, John T. Wei et al.
2 citations
Journal of Nursing Management
Electronic Health Records Systems
5.88
article

Measuring Managerial, Collegial, and Organizational Aspects Associated With Digital Health Competence in Healthcare Professionals: Validation of the Chinese Version of the DigiComInf Instrument

Jinni Wang, Mei-Lian Chen, Xiaoyan Liao, John T. Wei, Lu Gao
article en
2 citations

Abstract

<b>Background:</b> Managerial, collegial, and organizational influences have been recognized as critical factors for developing digital health competence among healthcare professionals, but there is currently a lack of validated Chinese instruments to evaluate these factors. <b>Aims:</b> To culturally adapt and validate the Chinese version of the DigiComInf (aspects associated with digital health competence) instrument among Chinese healthcare professionals. <b>Method:</b> The DigiComInf instrument was translated into Chinese following the established guidelines. The cultural adaptation involved expert review and cognitive interviews. A total of 311 healthcare professionals were sampled to test reliability and validity of the instrument, with 30 participants undergoing a retest after a 2-week interval. Item analysis, internal consistency, test-retest reliability, content validity, convergent validity, discriminant validity, and construct validity were examined. <b>Results:</b> Item analysis indicated satisfactory item discrimination (critical values range: 17.63-26.70), item correlation (corrected item-total correlation coefficient > 0.4), and item homogeneity. Internal consistency (Cronbach's α = 0.96) and test-retest reliability (Intraclass correlation coefficient = 0.96, 95% CI 0.91-0.98) were excellent. The scale content validity index was excellent (0.97). Principal component analysis extracted three common factors, explaining 80.54% of the cumulative variance. Confirmatory factor analysis confirmed a well-fit 3-factor model (<i>χ</i> <sup>2</sup>/<i>df</i> = 3.19, CFI = 0.94, NFI = 0.92, TLI = 0.93, IFI = 0.94, RMSEA = 0.10, and SRMSR = 0.04), with acceptable convergent and discriminant validity. <b>Conclusion:</b> The Chinese version of the DigiComInf is a reliable and valid instrument for assessing managerial, collegial, and organizational influences on the development of digital health competence among Chinese healthcare professionals. <b>Implications for Nursing Management:</b> This study presents a validated instrument to evaluate managerial, collegial, and organizational influences on healthcare professionals' digital health competence. Healthcare managers, healthcare providers, researchers, and policymakers can use it to accurately identify modifiable socio-organizational factors associated with digital health competence among various healthcare professionals in various settings, thereby informing targeted interventions to enhance their digital health competence.

Journal of Nursing ManagementVol. 2025(1)
Southern Medical University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Electronic Health Records Systems
5.88
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