SOCIALIZATION OF THE IMPLEMENTATION OF RADIATION SAFETY MANAGEMENT AND BASIC RADIOGRAPHY TECHNIQUES TO IMPROVE THE QUALITY OF RADIOLOGY SERVICES AT PIRNGADI GENERAL HOSPITAL
DOI:
https://doi.org/10.47652/hablumminannas.v2i2.812Abstract
Improving the quality of radiology services is a critical component of modern disease diagnosis, fundamentally supported by adherence to radiation safety standards and mastery of precise radiography techniques. Protecting patients and medical personnel from ionizing radiation exposure, while simultaneously meeting the growing demand for diagnostic accuracy, has become increasingly important as medical imaging technology advances. Reports from the International Atomic Energy Agency (IAEA) and the Indonesian Ministry of Health (Kemenkes RI) consistently emphasize the urgency of strengthening radiation safety frameworks and highlight persistent gaps in knowledge and application of best practices in patient dose optimization and basic radiographic techniques. These issues are evident at Pirngadi General Hospital, where variability in radiographic techniques and the presence of diagnostic artifacts remain challenges to service quality. To address these gaps, this study evaluated the effectiveness of structured socialization on radiation safety management and basic radiography techniques in enhancing radiology service quality at Pirngadi General Hospital. Specifically, it measured changes in radiology staff knowledge and skills before and after the intervention, while also assessing perceptions of service quality improvement. Guided by Behavior Change Theory, the study hypothesized that socialization would significantly improve both competence and perceptions. Using a quasi-experimental pre-test and post-test control group design, the study involved 60 radiology officers, divided into intervention (n=30) and control (n=30) groups through purposive sampling. Data collection employed validated questionnaires for knowledge, structured observation sheets with rubrics for skills, and semi-structured interviews for perceptions. Results demonstrated a significant improvement in knowledge among the intervention group, with mean scores rising from 65.2 ± 8.5 to 88.7 ± 5.1 (p < 0.001, Cohen’s d = 2.95), alongside a substantial increase in practical skills, where 85% of participants demonstrated accurate positioning and optimal parameter settings (p < 0.001). Secondary findings included stronger understanding of the ALARA principle, improved risk identification, and greater confidence in handling complex cases. In conclusion, the socialization program effectively enhanced radiology staff competence and service quality perceptions, offering theoretical validation of socialization-based interventions and practical recommendations for hospital management to integrate continuous training and module development aligned with advancing technology.
References
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3(3), 265-299.
Brenner, D. J., Hall, E. J., & Kim, K. P. (2021). Medical radiation exposure: the one-time benefit and the cumulative risk. Radiology, 298(1), 1-5.
Bushberg, J. T., Seibert, J. A., Leidholdt Jr, E. M., & Boone, J. M. (2012). The essential physics of medical imaging. Lippincott Williams & Wilkins.
Christodoulou, E., Andreou, A., & Georgiou, E. (2020). Radiation dose optimization in diagnostic radiology: A review of current practices and future trends. European Journal of Radiology, 129, 109080.
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1748-1751.
European Commission. (2014). Radiation Protection No. 180: Medical Imaging. Publications Office of the European Union.
ICRP. (2007). The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Annals of the ICRP, 37(2-3).
Kalra, M. K., Toth, T. L., & Maher, M. M. (2021). CT dose reduction techniques: current status and future directions. Radiologic Clinics, 59(6), 1025-1038.
Manning, D. J., McEntee, M. F., & O’Sullivan, M. (2023). Impact of artificial intelligence on image quality and diagnostic accuracy in radiology. Radiology: Artificial Intelligence, 5(1), e220023.
Paul, J., Singh, S., & Singh, S. (2020). Optimization of radiation dose in diagnostic radiology: A review. Journal of Medical Physics, 45(3), 133-141.
Sahani, D. V., Sodickson, A., & Cormican, D. (2022). Radiation dose reduction in CT: Methods and implementation. Journal of Medical Imaging and Radiation Sciences, 53(2), 215-226.
UNSCEAR. (2017). Sources, effects and risks of ionizing radiation: United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) 2017 Report to the General Assembly, with Scientific Annexes. United Nations.
Vano, E., Fitzgerald, S. M., & Gil, J. L. (2019). Diagnostic reference levels in diagnostic radiology: A review of current practices and future challenges. Radiology, 290(1), 1-8.
World Health Organization. (2023). Global status report on medical devices. World Health Organization.







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