An investigation of Saudi Arabian MR radiographers' knowledge and confidence in relation to MR image-quality-related errors

Alsharif, Walaa; Davis, Michaela; McGee, Allison; Rainford, Louise

doi:10.1016/j.radi.2016.11.002

Cited by 7 publications

(10 citation statements)

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“…A pilot study was conducted with MR clinical specialists ( n = 2) and an academic lecturer to validate the MR image datasets and the questions to be asked of participating radiographers. The viewing condition and time of image viewing session (40 min) were similar to the earlier pre-test phase of this study as previously reported [ 4 ]. Upon completion of the initial image viewing session (pre-test) [ 4 ], the experimental group was provided with access to the app.…”

Section: Methodsmentioning

confidence: 60%

“…The viewing condition and time of image viewing session (40 min) were similar to the earlier pre-test phase of this study as previously reported [ 4 ]. Upon completion of the initial image viewing session (pre-test) [ 4 ], the experimental group was provided with access to the app. Literature recommends a short intervention duration (>6 months) to facilitate the engagement with the task activity and maintain the enthusiasm of participants in using app technology [ 26 – 28 ].…”

Section: Methodsmentioning

confidence: 60%

“…Nieboer et al (2014) stated that healthcare professionals should feel competent to use medical imaging technology in order to provide adequate health care [ 3 ]. Literature has endorsed the need for further training and education for radiographers in the area of diagnostic image quality optimisation [ 4 – 6 ]. As a consequence of technology now being an integral part of daily life, this study considered the use of a smart phone application (app) as an opportunity to provide MR radiographers with portable access to learning material.…”

Section: Introductionmentioning

confidence: 99%

“…In phase one of a study published in a recent article, a pre-test MR image-based experiment was conducted on a cohort of MR radiographers working in the Kingdom of Saudi Arabia (KSA), without providing them with any learning resources, in order to investigate their level of knowledge regarding MR image-quality-related errors and to identify any potential gaps in their knowledge [ 4 ]. In a subsequent phase of this study, reported here, the researcher aimed to: Design an app-based eLearning tool provide radiographers with information about the physical basis of MR artefacts and practical elimination or/and minimisation strategies to optimise image quality.…”

Section: Introductionmentioning

confidence: 99%

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Validation of the educational effectiveness of a mobile learning app to improve knowledge about MR image quality optimisation and artefact reduction

et al. 2018

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AimThe aim was to design an app-based eLearning tool to provide radiographers with information about the physical basis of MR artefacts and practical elimination or/and minimisation strategies to optimise image quality, and to evaluate the impact of a smartphone app on radiographers’ knowledge.MethodsThe study used the comparison-experimental approach (pre- and post-test). Thirty-five MR radiographers independently reviewed a prepared series of MR images (n = 25). The participants were requested to identify image quality related errors, to specify error-correction strategies and to score how confident they were in their responses. Participants were then divided into experimental (n = 19) and control cohorts (n = 16). The app was provided to the experimental cohort for 3 months; after this period both cohorts re-reviewed the MR image datasets and repeated their identification of image quality errors.ResultsThe results showed a statistically significant difference between control and experimental cohorts relative to participants’ pre- to post-test knowledge level. For the experimental cohort, years of experience, qualification and type of hospital were not associated with radiographer knowledge level and confidence in recognising the presence of an image quality error, naming the error and specifying appropriate correction strategies (p > 0.05).ConclusionThe study identified the potential of the smartphone app as an effective educational tool to support MR radiographers’ knowledge in recognising and characterising MR image quality errors.Key Points• A high level of knowledge to optimise MR image quality is crucial.• Ongoing education in image quality optimisation is required.• The potential role of app as an effective educational tool is identified.

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Section: Methodsmentioning

confidence: 60%

Section: Methodsmentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Validation of the educational effectiveness of a mobile learning app to improve knowledge about MR image quality optimisation and artefact reduction

et al. 2018

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“…According to the World Health Organization, practice is influenced by the level of knowledge, motivation, and skills [ 15 ]. A study conducted in Saudi Arabia by Alsharif et al [ 16 ] showed that there is poor knowledge among radiographers in identifying image error. Another study conducted in Saudi Arabia by Ahmed et al [ 17 ] revealed that there is variation in radiographer knowledge of radiation protection, with 58% of radiographers indicating poor knowledge.…”

Section: Introductionmentioning

confidence: 99%

Educational Module Intervention for Radiographers to Reduce Repetition Rate of Routine Digital Chest Radiography in Makkah Region of Saudi Arabia Tertiary Hospitals: Protocol of a Quasi-Experimental Study

Almalki¹,

Manaf²,

Juni³

et al. 2017

JMIR Res Protoc

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BackgroundRepetition of an image is a critical event in any radiology department. When the repetition rate of routine digital chest radiographs is high, radiation exposure of staff and patients is increased. In addition, repetition consumes the equipment’s life span, thus affecting the annual budget of the department.ObjectiveThe aim of this study is to determine the impact of a printed educational module on reducing the repetition rate of routine digital chest radiography among radiographers in Makkah Region tertiary hospitals.MethodsA quasi-experimental time series with a control group will be conducted in Makkah Region tertiary hospitals for 8 months starting in the second quarter of 2017. Four hospitals out of 5 in the region will be selected; 2 of them will be selected as the control group and the other 2 as the intervention group. Stratification and a simple random sampling technique will be used to sample 56 radiographers in each group. Pre- and postintervention assessments will be conducted to determine the radiographer knowledge, motivation, and skills and repetition rate of chest radiographs. Radiographs of the chest performed by sampled radiographers in the selected hospitals will be collected for 2 weeks before and after the intervention. A piloted questionnaire will be distributed and collected by a researcher in both groups. One-way multivariate analysis of variance and 2-way repeated multivariate analysis of variance will be used to analyze the data.ResultsIt is expected that the repetition rate in the intervention group will decline after implementing the intervention and the change will be statistically significant (P<.05). Furthermore, it is expected that the knowledge, motivation, and skill levels in the intervention group will increase significantly among radiographers after implementation of the intervention (P<.05). Meanwhile, knowledge, motivation, and skills in the control group will not change.ConclusionsA quasi-experimental time series with a control will be conducted to investigate the effect of printed educational material in reducing the repetition rate of routine digital chest radiographs among radiographers in tertiary hospitals in the Makkah Region of Saudi Arabia.

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Graduate radiographers’ experience of learning MRI practice: A pilot study using constructivist grounded theory methodology

Gallagher¹

2023

Journal of Medical Imaging and Radiation Sciences

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An investigation of Saudi Arabian MR radiographers' knowledge and confidence in relation to MR image-quality-related errors

Cited by 7 publications

References 25 publications

Validation of the educational effectiveness of a mobile learning app to improve knowledge about MR image quality optimisation and artefact reduction

Validation of the educational effectiveness of a mobile learning app to improve knowledge about MR image quality optimisation and artefact reduction

Educational Module Intervention for Radiographers to Reduce Repetition Rate of Routine Digital Chest Radiography in Makkah Region of Saudi Arabia Tertiary Hospitals: Protocol of a Quasi-Experimental Study

Graduate radiographers’ experience of learning MRI practice: A pilot study using constructivist grounded theory methodology

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