AKIMOTO, Tatsuhito (2019). Image evaluation performance of diagnostic radiographers: benchmarking new graduates. Doctoral, Sheffield Hallam University. [Thesis]
Documents
27880:564798
PDF
Akimoto_2019_PhD_ImageEvaluationPerformance_.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Akimoto_2019_PhD_ImageEvaluationPerformance_.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (2MB) | Preview
Abstract
Aim: Preliminary clinical evaluation (PCE) is a new clinical role of diagnostic radiographers in
the United Kingdom (UK). Radiographers participating in PCE are now expected, not only to
view radiographs and make reliable clinical decisions, but also to express the clinical findings
in unambiguous written forms. The Society and College of Radiographers (SCoR) (2013)
expects that newly qualified radiographers have the underpinning education and training to
take part in PCE. However, the feasibility of PCE by radiographers, especially newly qualified
radiographers, has not been empirically challenged. This research therefore set out to
determine whether final year diagnostic radiography students at the point of graduation
and qualification were capable of providing reliable PCE.
Method: An X-ray image evaluation test was conducted to assess PCE performance of the
final year undergraduate diagnostic radiography students. An image bank, consisting of 30
appendicular radiographs, was developed for the test. A total of 87 students from nine
universities in England and Wales took the test. The students provided their clinical
decisions (normal or abnormal) and comments (PCE). Accuracy, sensitivity and specificity
were calculated based on their decisions. A PCE taxonomy was developed to classify
comments and identify types and frequencies of PCE errors. The comments were also
systematically evaluated with a scoring system, which was developed to assess three
essential components of skeletal trauma reports: type, location and
displacement/dislocation of fractures. Comments were further analysed by the results of
the scoring.
Results: The results demonstrated that mean sensitivity and specificity of the student group
were 79.62 % (95% CI: 77 – 82%) and 67.13% (95% CI: 64 – 71%) respectively. Accuracy was
73.37% (95% CI: 72 – 75%). PCE error classification found that the students made more false
positives than false negatives. A further analysis of the comments using the scoring system
indicated that, although many commented on types and locations of abnormalities, very few
described displacement/dislocations of fractures.
Conclusion: Low specificity with higher rate of false positive decisions suggests that
education providers should collaborate in partnership with clinical placement sites to
devote greater focus on evaluation of normal radiographs. A certain proportion of newly
qualified radiographers may benefit from post qualification learning to provide more
reliable PCE. Preceptorship, which is a transitional phase for newly qualified radiographers
to become independent practitioners, could incorporate PCE training as one of its key
educational components. The error classification system and scoring model are ideally
suited for regular audits at any stage of image evaluation learning and practicing.
More Information
Statistics
Downloads
Downloads per month over past year
Metrics
Altmetric Badge
Dimensions Badge
Share
Actions (login required)
View Item |