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Examining the Amount of Unnecessary Knee MRI Prescription in the MRI Center of Bushehr University of Medical Sciences in 2018

Authors :
Hedayat Salari
Habib Omranikhoo
Azam Amini
Mosayeb Amiri
Saeed Bayyenat
Mohammad Azmal
Atefeh Esfandiari
Source :
Journal of Evidence Based Health Policy, Management & Economics, Vol 4, Iss 2, Pp 82-88 (2020)
Publication Year :
2020
Publisher :
Shahid Sadoughi University of Medical Sciences, 2020.

Abstract

Background: Many prevalent disorders were observed in and around the knee joint. Magnetic resonance imaging (MRI) was a modern and costly diagnostic technology that was progressively applied worldwide. This study was conducted in the Bushehr educational hospitals in 2018 with the purpose of determining the necessity of knee MRI prescriptions. Methods: This paper was a kind of cross-sectional descriptive-analytical study. The statistical population of the study was all patients who were prescribed knee MRI due to the appearance of knee problems and referred to the MRI Center of Bushehr University of Medical Sciences in 2018. The sampling method was convenient sampling. The sample in this study included 274 patients. The indications and data collection form of Vojdani et al.'s study were used to specify the necessity of the mentioned prescriptions. In this study, SPSS 22 software was applied to analyze data. Also, the Chi-Square test was used to for analyzing the data. Results: Among the total studied population in this study, MRI prescription was evaluated inappropriately for approximately 24 % of patients. In this study, the appropriateness of the prescriptions had a significant relationship with age, job, education level, physician prescribing, and requesting MRI (P-value < 0.05). Conclusion: It could be deduced that about a quarter of MRI was not appropriate to clinical prescription. Regarding the high cost of hospital and the necessity of their reduction, induced demand would be prevented by using valid indications. Therefore, reducing unnecessary prescriptions yielded to fewer costs of the health system and patients.

Details

Language :
English
ISSN :
25385070 and 25384716
Volume :
4
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Evidence Based Health Policy, Management & Economics
Publication Type :
Academic Journal
Accession number :
edsdoj.57606f998dcc4e4d9df1dfb62c715757
Document Type :
article