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Background: The timely provision of test results to facilitate early access to treatment is an essential component of sexually transmissible infection (STI) control and contributes to a significant proportion of the workload at sexual health services. We aimed to estimate the time to deliver client results and treatment as well as the health system costs of the nurse-led urgent results management model at the Sydney Sexual Health Centre (SSHC) compared to an alternative 'ordering clinician' model., Methods: We conducted a retrospective analysis of urgent results managed by the results nurse over 2weeks in 2019 and an observational study over 2weeks in 2021, where 10 clinicians managed five of their own urgent results. Additional activity data were gathered to determine the annual health system costs for both models., Results: In the nurse-led model 211 of 280 clients required notification; 156 (73.9%) were notified on the day their results became available, and the median time to treatment (n =137) was 1day. The annual health system cost for the nurse-led model was A$3922143. In the ordering clinician model, 17 (42.5%) clients were notified on the same day, and of the 27 clients treated at SSHC, the median time to treatment increased to 4days. The annual health system cost for the ordering clinician model was A$4043667.28 compared with the nurse-led model, and an additional 33.3h per week of clinician time was required for the same level of service provision., Conclusions: This study highlights the strengths of the nurse-led results model at SSHC, demonstrating improved client outcomes for STI notification and treatment times and health systems savings.

Background Traditional result notification methods, such as telephone calls, return visits and individualised emails or Short Message Service (SMS) texts, can be time consuming and may not align with client preference. We conducted a cross-sectional survey of our clients that showed that many clients prefer negative results by SMS or email, with the option to call or attend in person for positive results. Methods: We developed an innovative result-robot module in the electronic medical record that reads the electronic result and, using predefined algorithms, determines which SMS or email result template to send to the client. Results and Conclusion: Delivering automated negative results resulted in a 41% decrease in the number of clients calling for their results, demonstrating a significant efficiency gain.