Evaluating the quality and safety of the BreastScreen remote radiology assessment model of service delivery in Australia
Journal Publication ResearchOnline@JCUAbstract
Introduction Breast cancer is the most commonly diagnosed cancer in Australian women. Given the diverse geography and populations within Australia, the ability to offer a telemedicine-supported breast screening and assessment service may increase access. The aim of this study was to assess clinical outcomes of a telemedicine-based remote radiology assessment service delivery model for detecting breast cancer in regional Australian women compared to the traditional radiologist onsite model. Methods This study was a pre–post intervention study using de-identified administrative data. Data were collected from seven sites across three health jurisdictions within Australia. There were a total of 21,117 assessment visits, with 10,508 (49.8%) pre- and 10,609 (50.2%) post-remote model implementation. Of the 10,609 post-remote model visits, 3,904 (36.8%) were under the remote model. The main outcome was cancer detection, split into any cancer, any invasive cancer or any small invasive cancer. Timeliness of assessment was also examined. Results After adjusting for multiple factors, there were no statistically significant differences in cancer detection rates between the remote and onsite models (adjusted odds ratio (AOR) = 1.02, 95% CI 0.86–1.19, n.s.). Implementing the remote assessment model had statistically significant positive effects on the timeliness of assessment (AOR = 0.68, 95% CI 0.59–0.77, p < 0.001). Discussion This study found the remote model delivers safe and high-quality assessment services, with equivalent rates of cancer detection and improved timeliness of assessment when compared to the traditional onsite model. Careful monitoring and ongoing evaluation of any health-service model is important for ongoing safety, efficiency and acceptability.
Journal
Journal of Telemedicine and Telecare
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Volume
29
ISBN/ISSN
1758-1109
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Issue
3
Pages Count
8
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Publisher
Sage Publications
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EISSN
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DOI
10.1177/1357633X20975653