Literature DB >> 26214318

The Impact of Socioeconomic Status on the Utilization of Spinal Imaging.

Adeeb Derakhshan1, Jacob Miller, Daniel Lubelski, Amy S Nowacki, Brian J Wells, Alex Milinovich, Edward C Benzel, Thomas E Mroz, Michael P Steinmetz.   

Abstract

BACKGROUND: Few studies have examined the general correlation between socioeconomic status and imaging. This study is the first to analyze this relationship in the spine patient population.
OBJECTIVE: To assess the effect of socioeconomic status on the frequency with which imaging studies of the lumbar spine are ordered and completed.
METHODS: Patients that were diagnosed with lumbar radiculopathy and/or myelopathy and had at least 1 subsequent lumbar magnetic resonance imaging (MRI), computed tomography (CT), or X-ray ordered were retrospectively identified. Demographic information and the number of ordered and completed imaging studies were among the data collected. Patient insurance status and income level (estimated based on zip code) served as representations of socioeconomic status.
RESULTS: A total of 24,105 patients met the inclusion criteria for this study. Regression analyses demonstrated that uninsured patients were significantly less likely to have an MRI, CT, or X-ray study ordered (P < .001 for all modalities) and completed (P < .001 for MRI and X-ray, P = .03 for CT). Patients with lower income had higher rates of MRI, CT, and X-ray (P < .001 for all) imaging ordered but were less likely to have an ordered X-ray be completed (P = .009). There was no significant difference in the completion rate of ordered MRIs or CTs.
CONCLUSION: Disparities in image utilization based on socioeconomic characteristics such as insurance status and income level highlight a critical gap in access to health care. Physicians should work to mitigate the influence of such factors when deciding whether to order imaging studies, especially in light of the ongoing shift in health policy in the United States.

Entities:  

Mesh:

Year:  2015        PMID: 26214318     DOI: 10.1227/NEU.0000000000000914

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  10 in total

1.  Disparities in health care determine prognosis in newly diagnosed glioblastoma.

Authors:  Ankush Chandra; Jonathan W Rick; Cecilia Dalle Ore; Darryl Lau; Alan T Nguyen; Diego Carrera; Alexander Bonte; Annette M Molinaro; Philip V Theodosopoulos; Michael W McDermott; Mitchel S Berger; Manish K Aghi
Journal:  Neurosurg Focus       Date:  2018-06       Impact factor: 4.047

2.  Association between insurance status and patient safety in the lumbar spine fusion population.

Authors:  Joseph E Tanenbaum; Vincent J Alentado; Jacob A Miller; Daniel Lubelski; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-10-17       Impact factor: 4.166

3.  Is the Centers for Medicare and Medicaid Services Hierarchical Condition Category Risk Adjustment Model Satisfactory for Quantifying Risk After Spine Surgery?

Authors:  Andrew K Chan; Shane Shahrestani; Alexander M Ballatori; Katie O Orrico; Geoffrey T Manley; Phiroz E Tarapore; Michael Huang; Sanjay S Dhall; Dean Chou; Praveen V Mummaneni; Anthony M DiGiorgio
Journal:  Neurosurgery       Date:  2022-05-16       Impact factor: 5.315

4.  National Incidence of Patient Safety Indicators in the Total Hip Arthroplasty Population.

Authors:  Joseph E Tanenbaum; Derrick M Knapik; Glenn D Wera; Steven J Fitzgerald
Journal:  J Arthroplasty       Date:  2017-04-12       Impact factor: 4.757

5.  Disparities in reportable quality metrics by insurance status in the primary spine neoplasm population.

Authors:  Syed K Mehdi; Joseph E Tanenbaum; Vincent J Alentado; Jacob A Miller; Daniel Lubelski; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-09-21       Impact factor: 4.166

6.  Insurance status and reportable quality metrics in the cervical spine fusion population.

Authors:  Joseph E Tanenbaum; Jacob A Miller; Vincent J Alentado; Daniel Lubelski; Benjamin P Rosenbaum; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-08-04       Impact factor: 4.166

7.  Predictors of outcomes and hospital charges following atlantoaxial fusion.

Authors:  Joseph E Tanenbaum; Daniel Lubelski; Benjamin P Rosenbaum; Nicolas R Thompson; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-01-11       Impact factor: 4.166

8.  Race/ethnicity, and Americans' perceptions and experiences of over- and under-use of care: a cross-sectional study.

Authors:  Nancy R Kressin; Meng-Yun Lin
Journal:  BMC Health Serv Res       Date:  2015-10-01       Impact factor: 2.655

Review 9.  Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review.

Authors:  Elizabeth Golembiewski; Katie S Allen; Amber M Blackmon; Rachel J Hinrichs; Joshua R Vest
Journal:  JMIR Public Health Surveill       Date:  2019-10-07

10.  Socioeconomic status does not affect prognosis in patients with glioblastoma multiforme.

Authors:  Rebecca A Kasl; Philip R Brinson; Lola B Chambless
Journal:  Surg Neurol Int       Date:  2016-05-06
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.