Abstract

IntroductionNon-attendance at Medical Imaging (MI) appointments can result in inefficiencies in healthcare resource allocation, increased financial burdens, and lead to potential barriers to effective healthcare delivery. We evaluated factors associated with non-attendance of MI appointments for children including variables: gender; age groups; residential postcodes; Indigenous status; appointment dates; appointment reminders and socio-economic status. MethodRetrospective cohort study of children with scheduled MI appointments at a Tertiary paediatric hospital in Australia, between January and December 2022. Data were extracted from the Radiology Information System and integrated with socio-economic census data through linking with postcode. Chi-squared, and logistic regression analysis were performed to identify significant predictors of non-attendance. ResultsOut of 17,962 scheduled outpatient appointments, 6.2 % did not attend. Males were less likely to attend than females (7.3 % vs. 5.8 %; p < 0.001). Older children had the highest frequency of non-attendance (p < 0.001). First Nations identified children had a higher likelihood of non-attendance at 14.5 % compared to non-First Nations at 5.8 %, and the odds ratio (OR) of First Nation children not attending was 2.54 (CI 2.13–3.03; p < 0.001) higher than non-First Nations children. Children from areas of disadvantage were less likely to attend (p < 0.001). Bone mineral densitometry had the highest odds of non-attendance (19.4 % of bookings) compared to other imaging modalities (p < 0.001). ConclusionThe following characteristics were associated with non-attendance: older male gender, residing in areas of socio-economic disadvantage, or identifying as First Nations Australians. By reviewing these findings with the cultural and professional experience of our Indigenous co-author, we have identified some strategies for improving attendance amongst First Nations children. Implications for practiceFactors associated with non-attendance, or “missed opportunities for care”, provide opportunities for intervention to improve attendance for vulnerable groups of children who require medical imaging.

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