Appropriateness of knee MRI prescriptions in a hospital of Birjand, 2014

Authors

  • Marjan Vejdani Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran
  • Yasamin Molavi Taleghani PHD student of Health Services Administration, Health Management and Economics Research Center, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
  • Amir Reza Kachooei Department of Orthopedics, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
  • Roghayeh Hosseini Department of MRI, Vali-e-Asr Hospital, Birjand University of Medical Sciences, Birjand, Iran
  • Sirvan Salehi Department of MRI, Vali-e-Asr Hospital, Birjand University of Medical Sciences, Birjand, Iran
  • Samira Foji School of Paramedical, Sabzevar University of Medical Sciences, Sabzevar, Iran
  • Maryam Goudarzian Iranian Research Center on Healthy Aging, Sabzevar University of Medical Sciences, Sabzevar, Iran
  • Ghasem Fattahzadeh-Ardalani Department of Neurology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran

DOI:

https://doi.org/10.18203/issn.2454-2156.IntJSciRep20151498

Keywords:

Appropriateness, MRI, Hospital

Abstract

Background: Knee pain is one of the most common complains which cause patients to visit a doctor and Magnetic Resonance Imaging (MRI) is one of the common diagnostic methods which are common to find the cause of Knee pain. This study aim to determine knee MRI appropriateness, in Valiasr hospital of Birjand in 2014.

Methods: In this study descriptive – analytical study, 150 patients referred to MRI unit were selected using convenient sampling method. Data were gatherers using a Questionnaire and then analyzed by SPSS16 using descriptive statistics and Pearson, chi-square and Fisher's exact tests.  

Results: Of 150 cases, 70 (46.7%) were considered inappropriate, 7 (4.7%) were uncertain, and 73 (48.7%) were deemed to be appropriate. The economic burden of inappropriate prescriptions was 46200000 Rails. A statistical significant relation was observed between appropriateness of prescription with sex, jobs, education, physician specialist and referring institution.

Conclusions: Considering the high rate of inappropriate prescriptions, it is necessary to find the causes. Developing, customization, and perform clinical guidelines in all of our country may help reducing this rate.

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Published

2015-12-19

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Original Research Articles