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Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department.

Publication ,  Journal Article
Keister, LA; Stecher, C; Aronson, B; McConnell, W; Hustedt, J; Moody, JW
Published in: BMC public health
August 2021

Physicians do not prescribe opioid analgesics for pain treatment equally across groups, and such disparities may pose significant public health concerns. Although research suggests that institutional constraints and cultural stereotypes influence doctors' treatment of pain, prior quantitative evidence is mixed. The objective of this secondary analysis is therefore to clarify which institutional constraints and patient demographics bias provider prescribing of opioid analgesics.We used electronic medical record data from an emergency department of a large U.S hospital during years 2008-2014. We ran multi-level logistic regression models to estimate factors associated with providing an opioid prescription during a given visit while controlling for ICD-9 diagnosis codes and between-patient heterogeneity.A total of 180,829 patient visits for 63,513 unique patients were recorded during the period of analysis. Overall, providers were significantly less likely to prescribe opioids to the same individual patient when the visit occurred during higher rates of emergency department crowding, later times of day, earlier in the week, later years in our sample, and when the patient had received fewer previous opioid prescriptions. Across all patients, providers were significantly more likely to prescribe opioids to patients who were middle-aged, white, and married. We found no bias towards women and no interaction effects between race and crowding or between race and sex.Providers tend to prescribe fewer opioids during constrained diagnostic situations and undertreat pain for patients from high-risk and marginalized demographic groups. Potential harms resulting from previous treatment decisions may accumulate by informing future treatment decisions.

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Published In

BMC public health

DOI

EISSN

1471-2458

ISSN

1471-2458

Publication Date

August 2021

Volume

21

Issue

1

Start / End Page

1518

Related Subject Headings

  • Public Health
  • Practice Patterns, Physicians'
  • Middle Aged
  • Humans
  • Hospitals
  • Female
  • Emergency Service, Hospital
  • Electronic Health Records
  • Analgesics, Opioid
  • 4206 Public health
 

Citation

APA
Chicago
ICMJE
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Keister, L. A., Stecher, C., Aronson, B., McConnell, W., Hustedt, J., & Moody, J. W. (2021). Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department. BMC Public Health, 21(1), 1518. https://doi.org/10.1186/s12889-021-11551-9
Keister, Lisa A., Chad Stecher, Brian Aronson, William McConnell, Joshua Hustedt, and James W. Moody. “Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department.BMC Public Health 21, no. 1 (August 2021): 1518. https://doi.org/10.1186/s12889-021-11551-9.
Keister LA, Stecher C, Aronson B, McConnell W, Hustedt J, Moody JW. Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department. BMC public health. 2021 Aug;21(1):1518.
Keister, Lisa A., et al. “Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department.BMC Public Health, vol. 21, no. 1, Aug. 2021, p. 1518. Epmc, doi:10.1186/s12889-021-11551-9.
Keister LA, Stecher C, Aronson B, McConnell W, Hustedt J, Moody JW. Provider Bias in prescribing opioid analgesics: a study of electronic medical Records at a Hospital Emergency Department. BMC public health. 2021 Aug;21(1):1518.
Journal cover image

Published In

BMC public health

DOI

EISSN

1471-2458

ISSN

1471-2458

Publication Date

August 2021

Volume

21

Issue

1

Start / End Page

1518

Related Subject Headings

  • Public Health
  • Practice Patterns, Physicians'
  • Middle Aged
  • Humans
  • Hospitals
  • Female
  • Emergency Service, Hospital
  • Electronic Health Records
  • Analgesics, Opioid
  • 4206 Public health