{"title":"工作量是放射技师初步图像评估准确性的预测因素。","authors":"Cameron Brown, Anna Burck, Michael J Neep","doi":"10.1002/jmrs.803","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Workload as a predictor of radiographer preliminary image evaluation accuracy.\",\"authors\":\"Cameron Brown, Anna Burck, Michael J Neep\",\"doi\":\"10.1002/jmrs.803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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%.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":16382,\"journal\":{\"name\":\"Journal of Medical Radiation Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Radiation Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/jmrs.803\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/jmrs.803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Workload as a predictor of radiographer preliminary image evaluation accuracy.
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.
期刊介绍:
Journal of Medical Radiation Sciences (JMRS) is an international and multidisciplinary peer-reviewed journal that accepts manuscripts related to medical imaging / diagnostic radiography, radiation therapy, nuclear medicine, medical ultrasound / sonography, and the complementary disciplines of medical physics, radiology, radiation oncology, nursing, psychology and sociology. Manuscripts may take the form of: original articles, review articles, commentary articles, technical evaluations, case series and case studies. JMRS promotes excellence in international medical radiation science by the publication of contemporary and advanced research that encourages the adoption of the best clinical, scientific and educational practices in international communities. JMRS is the official professional journal of the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT).