1. Workload as a predictor of radiographer preliminary image evaluation accuracy
- Author
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Cameron Brown, Anna Burck, and Michael J. Neep
- Subjects
Diagnostic imaging ,general radiography ,medical imaging ,quality improvement ,radiographer ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
Abstract Introduction Despite a demonstrated high accuracy and reported successful implementations, radiographer preliminary image evaluation (PIE) has been slow and infrequent in its rollout across Australia. A key barrier reported to hamper radiographer PIE service implementation is lack of adequate time to review radiographs and provide an accurate interpretation. This study sought to conduct a correlational analysis between radiographer imaging workload and PIE service accuracy. Methods A total of 45,373 exams and 1152 PIE comments evenly distributed each month from January 1, 2022, to December 31, 2022, were reviewed. PIE comments were assessed for consistency with the radiologist's report. The imaging workload (average exams completed per hour) was separated into three, eight‐hour ‘shifts’ based on time of imaging. Correlational analysis was performed using linear regression models and assessed for normality using the Shapiro‐Wilks test. Results The study reported no significant linear association between increasing average workload and reduced service accuracy (P = 0.136). It was however noted that when the average workload increased beyond 7 exams/hour, average service accuracy for PIE was always below 85%. Conclusion This study has demonstrated that, although perceived, there is no statistically significant correlation between x‐ray imaging workload and radiographer PIE service accuracy. Consideration of this correlation to be a significant barrier to participation in such a service was not reported at this site.
- Published
- 2024
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