Literature DB >> 22623551

Physician self-referral of lumbar spine MRI with comparative analysis of negative study rates as a marker of utilization appropriateness.

Ben E Paxton1, Matthew P Lungren, Ramesh C Srinivasan, Sin-Ho Jung, Miao Yu, James D Eastwood, Ramsey K Kilani.   

Abstract

OBJECTIVE: Financial interest in imaging equipment may affect the imaging referral patterns of ordering physicians. The purpose of this article is to determine whether ownership of MRI equipment by ordering physicians predicts the likelihood and prevalence of positive findings on lumbar spine MRI as a metric for comparison of utilization.
MATERIALS AND METHODS: A retrospective review was performed of 500 consecutive diagnostic lumbar spine MRI examinations in one radiology practice ordered by two separate referring physician groups serving the same geographic community: one with financial interest in the MRI equipment used (financial-interest group) and one without financial interest in the MRI equipment used (no-financial-interest group). Negative examinations and total number of lesions per positive study were recorded for each group.
RESULTS: Five hundred scans met inclusion criteria during the study period (250 in the financial-interest group and 250 in the no-financial-interest group). The negative scan frequency was 86% higher in the financial-interest group (p < 0.0001). Among positive scans, there was no significant difference in the average total number of positive lesions per scan (3.93 for the financial-interest group and 4.31 for the no-financial-interest group; p = 0.132). The average age of patients imaged by the financial-interest group was 49.8 years, versus 56.9 years for the no-financial-interest group (p < 0.0001).
CONCLUSION: Lumbar spine MRI examinations referred by the financial-interest group were significantly more likely to be negative than those referred by the no-financial-interest group. Lesion frequency among positive scans suggests similar severity of disease between the two patient populations. Patients imaged by the financial-interest group were significantly younger than those imaged by the no-financial-interest group.

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Year:  2012        PMID: 22623551     DOI: 10.2214/AJR.11.7730

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  11 in total

1.  Effects of Physician Experience, Specialty Training, and Self-referral on Inappropriate Diagnostic Imaging.

Authors:  Gary J Young; Stephen Flaherty; E David Zepeda; Koenraad J Mortele; John L Griffith
Journal:  J Gen Intern Med       Date:  2020-01-23       Impact factor: 5.128

2.  Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification.

Authors:  Imon Banerjee; Yuan Ling; Matthew C Chen; Sadid A Hasan; Curtis P Langlotz; Nathaniel Moradzadeh; Brian Chapman; Timothy Amrhein; David Mong; Daniel L Rubin; Oladimeji Farri; Matthew P Lungren
Journal:  Artif Intell Med       Date:  2018-11-23       Impact factor: 5.326

3.  Radiologist involvement is associated with reduced use of MRI in the acute period of low back pain in a non-elderly population.

Authors:  Kanako K Kumamaru; Yukiko Sano; Hiraku Kumamaru; Masaaki Hori; Tomohiro Takamura; Ryusuke Irie; Michimasa Suzuki; Akifumi Hagiwara; Koji Kamagata; Atsushi Nakanishi; Shigeki Aoki
Journal:  Eur Radiol       Date:  2017-10-23       Impact factor: 5.315

4.  Physical Therapy or Advanced Imaging as First Management Strategy Following a New Consultation for Low Back Pain in Primary Care: Associations with Future Health Care Utilization and Charges.

Authors:  Julie M Fritz; Gerard P Brennan; Stephen J Hunter
Journal:  Health Serv Res       Date:  2015-03-16       Impact factor: 3.402

5.  Can Physical Therapy Deliver Clinically Meaningful Improvements in Pain and Function Through a Mobile App? An Observational Retrospective Study.

Authors:  Lauren Beresford; Todd Norwood
Journal:  Arch Rehabil Res Clin Transl       Date:  2022-02-24

6.  Global Budgets and Technology-Intensive Medical Services.

Authors:  Zirui Song; A Mark Fendrick; Dana Gelb Safran; Bruce Landon; Michael E Chernew
Journal:  Healthc (Amst)       Date:  2013-06

7.  Physician self-referral and imaging use appropriateness: negative cervical spine MRI frequency as an assessment metric.

Authors:  T J Amrhein; B E Paxton; M P Lungren; N T Befera; H R Collins; C Yurko; J D Eastwood; R K Kilani
Journal:  AJNR Am J Neuroradiol       Date:  2014-08-07       Impact factor: 3.825

8.  In-office magnetic resonance imaging (MRI) equipment ownership and MRI volume among medicare patients in orthopedic practices.

Authors:  Robert L Ohsfeldt; Pengxiang Li; John E Schneider
Journal:  Health Econ Rev       Date:  2015-10-20

9.  The cascade of medical services and associated longitudinal costs due to nonadherent magnetic resonance imaging for low back pain.

Authors:  Barbara S Webster; YoonSun Choi; Ann Z Bauer; Manuel Cifuentes; Glenn Pransky
Journal:  Spine (Phila Pa 1976)       Date:  2014-08-01       Impact factor: 3.468

10.  Factors Influencing Primary Care Providers' Unneeded Lumbar Spine MRI Orders for Acute, Uncomplicated Low-Back Pain: a Qualitative Study.

Authors:  Andrea L Nevedal; Eleanor T Lewis; Justina Wu; Josephine Jacobs; Jeffrey G Jarvik; Roger Chou; Paul G Barnett
Journal:  J Gen Intern Med       Date:  2019-12-12       Impact factor: 5.128

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