Literature DB >> 25104287

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

T J Amrhein1, B E Paxton2, M P Lungren3, N T Befera2, H R Collins4, C Yurko2, J D Eastwood2, R K Kilani2.   

Abstract

BACKGROUND AND
PURPOSE: Imaging self-referral is increasingly cited as a contributor to diagnostic imaging overuse. The purpose of this study was to determine whether ownership of MR imaging equipment by ordering physicians influences the frequency of negative cervical spine MR imaging findings.
MATERIALS AND METHODS: A retrospective review was performed of 500 consecutive cervical spine MRIs ordered by 2 separate referring-physician groups serving the same geographic community. The first group owned the scanners used and received technical fees for their use, while the second group did not. Final reports were reviewed, and for each group, the percentage of negative study findings and the frequency of abnormalities were calculated. The number of concomitant shoulder MRIs was recorded.
RESULTS: Five hundred MRIs meeting inclusion criteria were reviewed (250 with financial interest, 250 with no financial interest). Three hundred fifty-two had negative findings (190 with financial interest, 162 with no financial interest); there were 17.3% more scans with negative findings in the financial interest group (P = .006). Among scans with positive findings, there was no significant difference in the mean number of lesions per scan, controlled for age (1.90 with financial interest, 2.19 with no financial interest; P = .23). Patients in the financial interest group were more likely to undergo concomitant shoulder MR imaging (24 with financial interest, 11 with no financial interest; P = .02).
CONCLUSIONS: Cervical spine MRIs referred by physicians with a financial interest in the imaging equipment used were significantly more likely to have negative findings. There was otherwise a highly similar distribution and severity of disease between the 2 patient samples. Patients in the financial interest group were more likely to undergo concomitant shoulder MR imaging.
© 2014 by American Journal of Neuroradiology.

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Mesh:

Year:  2014        PMID: 25104287      PMCID: PMC7965304          DOI: 10.3174/ajnr.A4076

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  21 in total

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Authors:  Richard E Sharpe; Levon N Nazarian; Laurence Parker; Vijay M Rao; David C Levin
Journal:  J Am Coll Radiol       Date:  2012-02       Impact factor: 5.532

2.  Effectiveness of clinical decision support in controlling inappropriate imaging.

Authors:  C Craig Blackmore; Robert S Mecklenburg; Gary S Kaplan
Journal:  J Am Coll Radiol       Date:  2011-01       Impact factor: 5.532

3.  Journal Club: Shoulder MRI utilization: relationship of physician MRI equipment ownership to negative study frequency.

Authors:  Timothy J Amrhein; Matthew P Lungren; Ben E Paxton; Ramesh Srinivasan; Sin-Ho Jung; Miao Yu; James D Eastwood; Ramsey K Kilani
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

4.  Turf wars in radiology: updated evidence on the relationship between self-referral and the overutilization of imaging.

Authors:  David C Levin; Vijay M Rao
Journal:  J Am Coll Radiol       Date:  2008-07       Impact factor: 5.532

Review 5.  Neck and shoulder pain: differentiating cervical spine pathology from shoulder pathology.

Authors:  Dhruv B Pateder; Jeffrey H Berg; Raymond Thal
Journal:  J Surg Orthop Adv       Date:  2009

6.  National health spending in 2011: overall growth remains low, but some payers and services show signs of acceleration.

Authors:  Micah Hartman; Anne B Martin; Joseph Benson; Aaron Catlin
Journal:  Health Aff (Millwood)       Date:  2013-01       Impact factor: 6.301

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

Authors:  Ben E Paxton; Matthew P Lungren; Ramesh C Srinivasan; Sin-Ho Jung; Miao Yu; James D Eastwood; Ramsey K Kilani
Journal:  AJR Am J Roentgenol       Date:  2012-06       Impact factor: 3.959

8.  Relative procedure intensity with self-referral and radiologist referral: extremity radiography.

Authors:  Andrew W Litt; Donald R Ryan; Diane Batista; Kelly N Perry; Rebecca S Lewis; Jonathan H Sunshine
Journal:  Radiology       Date:  2005-04       Impact factor: 11.105

9.  Understanding financial conflicts of interest.

Authors:  D F Thompson
Journal:  N Engl J Med       Date:  1993-08-19       Impact factor: 91.245

10.  Physician self-referral: frequency of negative findings at MR imaging of the knee as a marker of appropriate utilization.

Authors:  Matthew P Lungren; Timothy J Amrhein; Ben E Paxton; Ramesh C Srinivasan; Heather R Collins; James D Eastwood; Ramsey K Kilani
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

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  3 in total

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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.  Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.

Authors:  Imon Banerjee; Miji Sofela; Jaden Yang; Jonathan H Chen; Nigam H Shah; Robyn Ball; Alvin I Mushlin; Manisha Desai; Joseph Bledsoe; Timothy Amrhein; Daniel L Rubin; Roham Zamanian; Matthew P Lungren
Journal:  JAMA Netw Open       Date:  2019-08-02
  3 in total

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