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衡量医疗保健专业人员数字健康能力相关的管理、同事关系和组织方面:DigiComInf工具中文版的验证

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

作者信息

Gao Lu, Wang Jinni, Chen Meilian, Wei Jingxin, Liao Xiaoyan

机构信息

School of Nursing, Southern Medical University, Guangzhou, China.

School of Nursing, Guangzhou Medical University, Guangzhou, China.

出版信息

J Nurs Manag. 2025 Jun 16;2025:8854459. doi: 10.1155/jonm/8854459. eCollection 2025.

DOI:10.1155/jonm/8854459
PMID:40551748
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12185211/
Abstract

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. To culturally adapt and validate the Chinese version of the DigiComInf (aspects associated with digital health competence) instrument among Chinese healthcare professionals. 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. 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 ( / = 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. 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. 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.

摘要

管理、同事关系和组织影响已被公认为是医疗保健专业人员培养数字健康能力的关键因素,但目前缺乏经过验证的中文工具来评估这些因素。为了在中国医疗保健专业人员中对DigiComInf(与数字健康能力相关的方面)工具的中文版进行文化调适和验证。DigiComInf工具按照既定指南翻译成中文。文化调适包括专家评审和认知访谈。总共抽取了311名医疗保健专业人员来测试该工具的信度和效度,其中30名参与者在间隔2周后进行了重新测试。检验了项目分析、内部一致性、重测信度、内容效度、收敛效度、区分效度和结构效度。项目分析表明项目区分度良好(临界值范围:17.63 - 26.70)、项目相关性(校正后的项目与总分相关系数>0.4)以及项目同质性良好。内部一致性(Cronbach's α = 0.96)和重测信度(组内相关系数 = 0.96,95% CI 0.91 - 0.98)极佳。量表内容效度指数极佳(0.97)。主成分分析提取了三个共同因素,解释了累积方差的80.54%。验证性因素分析证实了一个拟合良好的三因素模型(χ²/df = 3.19,CFI = 0.94,NFI = 0.92,TLI = 0.93,IFI = 0.94,RMSEA = 0.10,SRMSR = 0.04),具有可接受的收敛效度和区分效度。DigiComInf中文版是评估管理、同事关系和组织对中国医疗保健专业人员数字健康能力发展影响的可靠且有效的工具。本研究提出了一个经过验证的工具来评估管理、同事关系和组织对医疗保健专业人员数字健康能力的影响。医疗保健管理人员、医疗保健提供者、研究人员和政策制定者可以使用它来准确识别与不同环境中各类医疗保健专业人员数字健康能力相关的可改变的社会 - 组织因素,从而为有针对性的干预措施提供依据,以提高他们的数字健康能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/01aa1c675da5/JONM2025-8854459.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/6aae9cf0fc85/JONM2025-8854459.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/3f305fcca113/JONM2025-8854459.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/01aa1c675da5/JONM2025-8854459.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/6aae9cf0fc85/JONM2025-8854459.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/3f305fcca113/JONM2025-8854459.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b088/12185211/01aa1c675da5/JONM2025-8854459.003.jpg

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