New persistent opioid use among older patients following surgery: A Medicare claims analysis

Although new persistent opioid use and high-risk prescribing have been recognized as important postoperative complications among younger patients (18–64 years of age), little is known about the incidence for postoperative opioid use among older patients (>65 years of age). We analyzed a 20% natio...

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Veröffentlicht in:Surgery 2020-04, Vol.167 (4), p.732-742
Hauptverfasser: Santosa, Katherine B., Hu, Hsou-Mei, Brummett, Chad M., Olsen, Margaret A., Englesbe, Michael J., Williams, Eva A., Waljee, Jennifer F.
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container_end_page 742
container_issue 4
container_start_page 732
container_title Surgery
container_volume 167
creator Santosa, Katherine B.
Hu, Hsou-Mei
Brummett, Chad M.
Olsen, Margaret A.
Englesbe, Michael J.
Williams, Eva A.
Waljee, Jennifer F.
description Although new persistent opioid use and high-risk prescribing have been recognized as important postoperative complications among younger patients (18–64 years of age), little is known about the incidence for postoperative opioid use among older patients (>65 years of age). We analyzed a 20% national sample of Medicare Part D claims among beneficiaries >65 years of age who underwent a major or minor surgical procedure between January 1, 2009, and June 30, 2015. We identified patients without an opioid prescription fill in the year before surgery and examined their perioperative and 6-month postoperative opioid prescription fills to examine the incidence of new persistent opioid use and high-risk prescribing. We identified 81,839 opioid naïve patients who underwent surgery and filled an opioid prescription perioperatively. Overall, 9.8% developed new persistent opioid use. Risk factors for new persistent opioid use included major surgery (adjusted odds ratio [aOR] 1.24, 95% confidence interval [CI] 1.17–1.31), more comorbid conditions (aOR 1.71, 95% CI 1.58–1.84), mood disorders (aOR 1.16, 95% CI 1.09–1.24), suicide or self-harm (aOR 1.60, 95% CI 1.05–2.44), substance abuse disorders (aOR 1.38, 95% CI 1.20–1.59), filling an opioid prescription before surgery (aOR 1.67, 95% CI 1.58–1.77), higher amounts of opioids filled (aOR 1.44, 95% CI 1.37–1.52), black race (aOR 1.23, 95% CI 1.12–1.36), and Medicaid eligibility (aOR 1.45, 95% CI 1.35–1.55). About 10% of Medicare beneficiaries who were previously opioid naïve continue to fill opioids past 3 months after surgery. In addition to comorbidities and mental health conditions, new persistent opioid use is associated with surgery type, preoperative opioid fill, high-risk prescribing practices, and sociodemographic factors.
doi_str_mv 10.1016/j.surg.2019.04.016
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We analyzed a 20% national sample of Medicare Part D claims among beneficiaries &gt;65 years of age who underwent a major or minor surgical procedure between January 1, 2009, and June 30, 2015. We identified patients without an opioid prescription fill in the year before surgery and examined their perioperative and 6-month postoperative opioid prescription fills to examine the incidence of new persistent opioid use and high-risk prescribing. We identified 81,839 opioid naïve patients who underwent surgery and filled an opioid prescription perioperatively. Overall, 9.8% developed new persistent opioid use. Risk factors for new persistent opioid use included major surgery (adjusted odds ratio [aOR] 1.24, 95% confidence interval [CI] 1.17–1.31), more comorbid conditions (aOR 1.71, 95% CI 1.58–1.84), mood disorders (aOR 1.16, 95% CI 1.09–1.24), suicide or self-harm (aOR 1.60, 95% CI 1.05–2.44), substance abuse disorders (aOR 1.38, 95% CI 1.20–1.59), filling an opioid prescription before surgery (aOR 1.67, 95% CI 1.58–1.77), higher amounts of opioids filled (aOR 1.44, 95% CI 1.37–1.52), black race (aOR 1.23, 95% CI 1.12–1.36), and Medicaid eligibility (aOR 1.45, 95% CI 1.35–1.55). About 10% of Medicare beneficiaries who were previously opioid naïve continue to fill opioids past 3 months after surgery. 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title New persistent opioid use among older patients following surgery: A Medicare claims analysis
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