The role of quality improvement in radiography

Nocum, Don J.; Robinson, John; Reed, Warren

doi:10.1002/jmrs.524

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Previously, indications have been that image quality perception and subjective understanding of the definition for the image rejection reason are dependent on the clinical experience and knowledge of the MIT 5,8 . RA studies provide the opportunity to implement continuous quality improvement to monitor the impact of education and training of staff to further improve the quality of practice is a vital step to dose optimisation 23 …”

Section: Discussionmentioning

confidence: 99%

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Digital radiography reject analysis: A comparison between two radiology departments in New Zealand

Bantas

Sweeney

Mdletshe

2023

J of Medical Radiation Sci

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Introduction Image reject analysis (RA) in direct digital radiography (DDR) is an important quality indicator tool. Analysis of rejected images is a component of quality assurance (QA) programmes, with the overall aim of reducing patient radiation dose. This study aimed to compare differences in image rejection rates (RR) and the reasons for rejection between two radiology departments. Methods A retrospective quantitative descriptive study of images performed across the two radiology departments (RAD 1 and RAD 2) acquired with DDR systems between the beginning of February and the end of May 2021 was undertaken. Collected data included the medical imaging technologist (MIT) selection of image rejection reasons for different anatomic regions and compared between the two radiology departments. Results A total of 47,046 images and 29,279 images were acquired at RAD 1 and RAD 2, respectively, with an overall image rejection rate of 7.86% at RAD 1 and 5.91% at RAD 2. The primary reason for image rejections was positioning errors, 79.4% and 77.3% recorded at RAD 1 and RAD 2, respectively. Significant differences were demonstrated between the two radiology departments for image rejection rates and selected reasons for rejection for most anatomical body groups. Conclusion The implementation of image RA remains a key part of QA in radiology departments utilising DDR systems. This study recommends interventions based on image RRs for examinations taking into consideration the department‐specific variations and imaging protocols used.

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Section: Discussionmentioning

confidence: 99%

“… 5 , 8 RA studies provide the opportunity to implement continuous quality improvement to monitor the impact of education and training of staff to further improve the quality of practice is a vital step to dose optimisation. 23 …”

Section: Discussionmentioning

confidence: 99%

Digital radiography reject analysis: A comparison between two radiology departments in New Zealand

Bantas

Sweeney

Mdletshe

2023

J of Medical Radiation Sci

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“…Radiographers produce high-quality radiographs and help diagnose medical conditions ( 4 ). They work closely with radiologists and other medical specialists to diagnose various illnesses accurately and quickly, including acute appendicitis.…”

Section: Introductionmentioning

confidence: 99%

Impact of Education and Experience on Radiographers’ Ability to Diagnose Acute Appendicitis: A Survey in Private Malaysian Hospitals

Dinesh,

Mohd,

Shasindrau

et al. 2024

MJMS

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Background: Acute appendicitis is a global surgical emergency. Radiographic modalities usually identify acute appendicitis, although radiographers’ competence is questionable. This study examines how clinical radiographers’ education and experience affect their ability to identify acute appendicitis using computed tomography (CT), magnetic resonance imaging (MRI) and ultrasonography (USG) characteristics. The study also aimed to determine which variable strongly influences their knowledge level. Methods: The study surveyed radiographers with a four-part self-administered questionnaire containing demographic information and eight knowledge-based questions about the appearance of acute appendicitis in MRI, CT and USG, separately. Before distribution, the questionnaire was validated and checked the reliability. Results: Clinical radiographers’ knowledge about using MRI to diagnose acute appendicitis was strongly affected by education and experience (η2 = 0.13 and 0.14; P < 0.05), with bachelor’s degree holders scoring higher regardless of experience. Radiographers with more than 5 years of experience knew more about CT and USG features to identify acute appendicitis (η2 = 0.40 and 0.27; P < 0.05). Radiographers with a bachelor’s degree and greater experience had higher overall knowledge of MRI, CT and USG to diagnose acute appendicitis (η2 = 0.51 and 0.11; P < 0.05). With adjusted R2 = 54% (F [2, 44] = 27.94; P < 0.001), education and experience highly predicted the overall knowledge level. Conclusion: The study found gaps in radiographers’ knowledge of the radiographic appearance of acute appendicitis. Clinical radiographers’ education level and years of experience substantially affect their knowledge level. In addition, experience is a good predictor than education level for overall knowledge level. Therefore, the study emphasises the importance of continuing education and training for radiographers to diagnose acute appendicitis quickly and accurately.

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Physics audit of selected diagnostic X-Ray machines in Ghana: towards implementation of a national dosimetry audit programme

Sosu,

Boadu,

Hasford

et al. 2023

Health Technol.

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The role of quality improvement in radiography

Cited by 3 publications

References 6 publications

Digital radiography reject analysis: A comparison between two radiology departments in New Zealand

Digital radiography reject analysis: A comparison between two radiology departments in New Zealand

Impact of Education and Experience on Radiographers’ Ability to Diagnose Acute Appendicitis: A Survey in Private Malaysian Hospitals

Physics audit of selected diagnostic X-Ray machines in Ghana: towards implementation of a national dosimetry audit programme

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