Evidence regarding the relationship between sociodemographic factors and SNOMED CT user satisfaction remains limited, particularly within the context of kidney disease data management. This study aimed to analyze the relationship between sociodemographic factors and SNOMED CT user satisfaction regarding kidney disease data management in Indonesia. A cross-sectional study design was employed, involving 334 medical coders from across Indonesia who were recruited via purposive sampling during a webinar. Data were collected using a self-administered questionnaire developed by the researchers. Descriptive and bivariate analyses were conducted, the latter utilizing logistic regression. The results indicated that age was significantly associated with satisfaction (OR=2.68; 95% CI=1.01–7.09; p=0.047), while length of employment showed a significant but negative association (OR=0.55; 95% CI=0.30–0.97; p=0.041). Conversely, gender and training history did not demonstrate a significant relationship with satisfaction. Specific sociodemographic factors namely age and work experience—were associated with SNOMED CT user satisfaction levels, whereas gender and training had no significant impact. These findings highlight the importance of considering individual characteristics when optimizing SNOMED CT implementation in healthcare facilities.
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