The Translation and Validation of the Children's Health Internet Research Parental Inventory (CHIRPI) in Greek: A Crucial Tool for Evaluating Parent Internet Use for Children's Health Information

The internet is now the primary mode of information exchange worldwide. Online health information-seeking behavior (e-HISB) has become a prevalent practice, especially among parents concerned with their children's health, creating both opportunities and risks. Objective: The present study aims to translate and culturally adapt the CHIRPI questionnaire into Greek and conduct a comprehensive psychometric validation, including analyses of internal consistency, test-retest reliability (temporal stability), and inter-rater reliability. The adapted tool is further pilot-tested for its utility in measuring parental internet use concerning child health information. Methods: The translation, validation, and pilot study of the questionnaire were conducted in accordance with internationally recommended procedures. CHIRPI was translated into Greek using forward-backward translation and was culturally adapted. A pilot sample of 105 parents (children aged 0-10) participated. The majority of participants were mothers (66.7%), aged 31-40 years, residing in urban areas, and they held tertiary or postgraduate degrees. Internal consistency was measured with Cronbach's alpha, test-retest reliability with the ICC, and inter-rater reliability with the kappa coefficient. Item responses were also analyzed in relation to demographic factors. Results: The CHIRPI Greek version demonstrated excellent internal consistency (Cronbach's α = 0.91; all subscales had α values greater than 0.70). Test-retest reliability (ICC = 0.632-1.000) and inter-rater reliability (kappa = 0.615-1.000) indicated moderate [...]. Conclusions: The CHIRPI Greek version is a valid and reliable tool for assessing parental online health information-seeking behavior related to children's health among Greek-speaking populations. As the first standardized tool in Greek, it fills a critical methodological gap in eHealth research.

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