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Presentation Date / Time
Submission Status
Submitted
Abstract
Abstract Title
Factors Affecting Non-Attendance in Urology Outpatient Care in a Tertiary Hospital
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Novel Advances: Other Urology Translational Studies
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Australia
Co-author 1
Rachel Cockburn rach_cockburn@yahoo.com.au Queensland Health Urology Department of Royal Brisbane and Women's Hospital Brisbane Australia *
Co-author 2
Harry Collin harry.collin@health.qld.gov.au Queensland Health Urology Department of Royal Brisbane and Women's Hospital Brisbane Australia -
Co-author 3
Rachel Esler rachel.esler@health.qld.gov.au Queensland Health Urology Department of Royal Brisbane and Women's Hospital Brisbane Australia -
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Abstract Content
Introduction
Non-attendance in outpatient healthcare contributes to patient morbidity and healthcare strain. This study aimed to identify predictors of non-attendance at a urology outpatient clinic at a tertiary hospital in Brisbane, Australia.
Materials and Methods
A secondary data analysis was conducted on urology outpatient clinic attendance at a Brisbane tertiary teaching hospital from 2018 to 2022. Factors including age, gender, Indigenous status, review type, appointment modality, distance from the clinic, and COVID-19 lockdowns were analysed using chi-square tests and multivariable logistic regression.
Results
Of the 11,683 scheduled appointments, the non-attendance rate was 4.9%. Indigenous patients had a higher non-attendance rate compared to non-Indigenous patients (13.6% vs 4.6%, OR 2.8, CI 1.91-3.99, p<0.001). Non-attendance was also associated with age groups less than 54 years of age (p<0.001) and follow-up appointments (OR 1.73, CI 1.43-2.09, p<0.001) across the patient population, particularly when the follow-up is scheduled in-person rather than via telehealth (OR 0.4, CI 0.23-0.67, p<0.001).
Conclusions
Indigenous status, younger age, and follow-up appointment type were significant predictors of non-attendance. Offering follow-up appointments via telehealth may improve attendance. Addressing these disparities is vital for reducing healthcare inequalities and improving health outcomes for Indigenous peoples.
Keywords
Barriers to Urology healthcare Non-attendance Multivariable logistic regression analysis
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1082
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