| Sumario: | 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 to excellent agreement. The scale showed satisfactory psychometric properties, supporting its use in Greek populations. Higher education was linked to more frequent health-related internet searches and increased distress (p < 0.001). 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.
|
|---|