Implementation of Deviation Index to Optimization Procedures on Radiography Examination Using Digital Radiography
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Published:2023-11-01
Issue:
Volume:
Page:57-64
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ISSN:2395-602X
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Container-title:International Journal of Scientific Research in Science and Technology
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language:en
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Short-container-title:IJSRST
Author:
Shinta Gunawati Sutoro 1, Muhammad Irsal 2, Intan Cahya 3
Affiliation:
1. Department of Diagnostic Imaging and Radiotherapy, Poltekkes Kemenkes Jakarta II, Jakarta, Indonesia.shinta.gunawati@poltekkesjkt2.ac.id1 2. PUI-P2KAL, Poltekkes Kemenkes Jakarta II, Jakarta, Indonesia.muhammad.irsal@poltekkesjkt2.ac.id2* 3. Department of Radiology, Brawijaya Hospital Saharjo, Jakarta, Indonesia.
Abstract
In the development of radiographic imaging technology at digital radiography (DR) is not accompanied by an increase in radiographers' awareness and knowledge of optimization procedures. The aim of this research will focus on the implementation of the deviation index to optimize procedures using digital radiography. The research method is descriptive and analytical by giving questionnaires to radiographers regarding awareness and knowledge of optimization procedures in radiographic examinations using deviation index (DI) on digital radiography (DR), This research was conducted on radiographer respondents with the research time being conducted between August - October 2023. Statistical analysis using SPSS 27 with prior data coding. After that, the measurement of the percentage of awareness and knowledge about optimization procedures using DI on DR will be categorized as <60%: bad, 60-75%: moderate, and>75: good. Then for the value determination p-value using test chi-squere to determine the correlation between knowledge of region, age, gender, education, and experience in optimization procedures using DI in DR. The study's findings regarding the use of optimization procedure demonstrate that radiographers' awareness and knowledge in applying DI on DR optimization methods is still lacking, with a percentage value of less than 60%. The results of the test chi-square demonstrate that there is no correlation between respondent data characteristics and knowledge p-value > 0.05. Therefore, attending radiation protection training and course is a crucial step toward raising radiographers awareness and knowledge of radiation protection on patient. because the radiology department's quality assurance and service quality measures are linked to initiatives to optimize procedures.
Publisher
Technoscience Academy
Reference11 articles.
1. B. R. Mussmann, M. Hardy, and J. Jensen, “There’s nothing plain about projection radiography! A discussion paper,” Radiography (Lond), vol. 27, no. 4, pp. 1227–1230, Nov. 2021, doi: 10.1016/J.RADI.2021.07.002. 2. S. Mc Fadden, T. Roding, G. de Vries, M. Benwell, H. Bijwaard, and J. Scheurleer, “Digital imaging and radiographic practise in diagnostic radiography: An overview of current knowledge and practice in Europe,” Radiography, vol. 24, no. 2, pp. 137–141, May 2018, doi: 10.1016/J.RADI.2017.11.004. 3. C. S. Lin, P. C. Chan, K. H. Huang, C. F. Lu, Y. F. Chen, and Y. O. Lin Chen, “Guidelines for reducing image retakes of general digital radiography,” Advances in Mechanical Engineering, vol. 8, no. 4, pp. 1–6, Apr. 2016, doi: 10.1177/1687814016644127. 4. R. Decoster, R. Toomey, D. Smits, T. M. Haygood, and M. L. Ryan, “Understanding reasons for image rejection by radiologists and radiographers,” J Med Radiat Sci, vol. 70, no. 2, pp. 127–136, Jun. 2023, doi: 10.1002/JMRS.641. 5. Jacob and Aniekan, “Does Availability of Image Post-Processing Facility on Digital Radiography Systems Influence Radiographers’ Attitude Towards Proper Radiographic Procedures? A Single Center Study,” 2019.
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