Association Between Payer Type and Risk of Persistent Opioid Use After Surgery.


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
01 12 2023
Historique:
medline: 9 11 2023
pubmed: 19 6 2023
entrez: 19 6 2023
Statut: ppublish

Résumé

To assess whether the risk of persistent opioid use after surgery varies by payer type. Persistent opioid use is associated with increased health care utilization and risk of opioid use disorder, opioid overdose, and mortality. Most research assessing the risk of persistent opioid use has focused on privately insured patients. Whether this risk varies by payer type is poorly understood. This cross-sectional analysis of the Michigan Surgical Quality Collaborative database examined adults aged 18 to 64 years undergoing surgical procedures across 70 hospitals between January 1, 2017 and October 31, 2019. The primary outcome was persistent opioid use, defined a priori as 1+ opioid prescription fulfillment at (1) an additional opioid prescription fulfillment after an initial postoperative fulfillment in the perioperative period or at least 1 fulfillment in the 4 to 90 days after discharge and (2) at least 1 opioid prescription fulfillment in the 91 to 180 days after discharge. The association between this outcome and payer type was evaluated using logistic regression, adjusting for patient and procedure characteristics. Among 40,071 patients included, the mean age was 45.3 years (SD 12.3), 24,853 (62%) were female, 9430 (23.5%) were Medicaid-insured, 26,760 (66.8%) were privately insured, and 3889 (9.7%) were covered by other payer types. The rate of POU was 11.5% and 5.6% for Medicaid-insured and privately insured patients, respectively (average marginal effect for Medicaid: 2.9% (95% CI 2.3%-3.6%)). Persistent opioid use remains common among individuals undergoing surgery and higher among patients with Medicaid insurance. Strategies to optimize postoperative recovery should focus on adequate pain management for all patients and consider tailored pathways for those at risk.

Sections du résumé

OBJECTIVE
To assess whether the risk of persistent opioid use after surgery varies by payer type.
BACKGROUND
Persistent opioid use is associated with increased health care utilization and risk of opioid use disorder, opioid overdose, and mortality. Most research assessing the risk of persistent opioid use has focused on privately insured patients. Whether this risk varies by payer type is poorly understood.
METHODS
This cross-sectional analysis of the Michigan Surgical Quality Collaborative database examined adults aged 18 to 64 years undergoing surgical procedures across 70 hospitals between January 1, 2017 and October 31, 2019. The primary outcome was persistent opioid use, defined a priori as 1+ opioid prescription fulfillment at (1) an additional opioid prescription fulfillment after an initial postoperative fulfillment in the perioperative period or at least 1 fulfillment in the 4 to 90 days after discharge and (2) at least 1 opioid prescription fulfillment in the 91 to 180 days after discharge. The association between this outcome and payer type was evaluated using logistic regression, adjusting for patient and procedure characteristics.
RESULTS
Among 40,071 patients included, the mean age was 45.3 years (SD 12.3), 24,853 (62%) were female, 9430 (23.5%) were Medicaid-insured, 26,760 (66.8%) were privately insured, and 3889 (9.7%) were covered by other payer types. The rate of POU was 11.5% and 5.6% for Medicaid-insured and privately insured patients, respectively (average marginal effect for Medicaid: 2.9% (95% CI 2.3%-3.6%)).
CONCLUSIONS
Persistent opioid use remains common among individuals undergoing surgery and higher among patients with Medicaid insurance. Strategies to optimize postoperative recovery should focus on adequate pain management for all patients and consider tailored pathways for those at risk.

Identifiants

pubmed: 37334751
doi: 10.1097/SLA.0000000000005937
pii: 00000658-202312000-00040
pmc: PMC10631504
doi:

Substances chimiques

Analgesics, Opioid 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1185-e1191

Subventions

Organisme : NIDA NIH HHS
ID : K08 DA048110
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA042859
Pays : United States

Informations de copyright

Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest.

Références

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Auteurs

Sudharsan Srinivasan (S)

Department of Anesthesiology, University of Michigan, Ann Arbor, MI.

Vidhya Gunaseelan (V)

Department of Anesthesiology, University of Michigan, Ann Arbor, MI.
Michigan Opioid Prescribing Engagement Network, Ann Arbor, MI.

Alexandra Jankulov (A)

Oakland University William Beaumont School of Medicine, Oakland University, Rochester Hills, MI.

Kao-Ping Chua (KP)

Department of Pediatrics, Susan B. Meister Child Health and Evaluation Research Center, University of Michigan, Ann Arbor, MI.
Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, MI.

Michael Englesbe (M)

Michigan Opioid Prescribing Engagement Network, Ann Arbor, MI.
Department of Surgery, University of Michigan, Ann Arbor, MI.

Jennifer Waljee (J)

Michigan Opioid Prescribing Engagement Network, Ann Arbor, MI.
Department of Surgery, University of Michigan, Ann Arbor, MI.

Mark Bicket (M)

Department of Anesthesiology, University of Michigan, Ann Arbor, MI.
Michigan Opioid Prescribing Engagement Network, Ann Arbor, MI.

Chad M Brummett (CM)

Department of Anesthesiology, University of Michigan, Ann Arbor, MI.
Michigan Opioid Prescribing Engagement Network, Ann Arbor, MI.

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