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Impact of COVID-19 on opioid use in those awaiting hip and knee arthroplasty: a retrospective cohort study.
Farrow, Luke; Gardner, William T; Tang, Chee Chee; Low, Rachel; Forget, Patrice; Ashcroft, George Patrick.
  • Farrow L; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK luke.farrow@doctors.org.uk.
  • Gardner WT; Trauma & Orthopaedics, Woodend Hospital, Aberdeen, UK.
  • Tang CC; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
  • Low R; Trauma & Orthopaedics, Woodend Hospital, Aberdeen, UK.
  • Forget P; Trauma & Orthopaedics, Woodend Hospital, Aberdeen, UK.
  • Ashcroft GP; Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
BMJ Qual Saf ; 2021 Sep 14.
Article in English | MEDLINE | ID: covidwho-1408532
ABSTRACT

BACKGROUND:

COVID-19 has had a detrimental impact on access to hip and knee arthroplasty surgery. We set out to examine whether this had a subsequent impact on preoperative opioid prescribing rates for those awaiting surgery.

METHODS:

Data regarding patient demographics and opioid utilisation were collected from the electronic health records of included patients at a large university teaching hospital. Patients on the outpatient waiting list for primary hip and knee arthroplasty as of September 2020 (COVID-19 group) were compared with historical controls (Controls) who had previously undergone surgery. A sample size calculation indicated 452 patients were required to detect a 15% difference in opioid prescription rates between groups.

RESULTS:

A total of 548 patients (58.2% female) were included, 260 in the COVID-19 group and 288 in the Controls. Baseline demographics were similar between the groups. For those with data available, the proportion of patients on any opioid at follow-up in the COVID-19 group was significantly higher 55.0% (143/260) compared with 41.2% (112/272) in the Controls (p=0.002). This remained significant when adjusted for confounding (age, gender, Scottish Index of Multiple Deprivation, procedure and wait time). The proportion of patients on a strong opioid was similar (4.2% (11/260) vs 4.8% (13/272)) for COVID-19 and Controls, respectively. The median waiting time from referral to follow-up was significantly longer in the COVID-19 group compared with the Controls (455 days vs 365 days; p<0.0001).

CONCLUSION:

The work provides evidence of potential for an emerging opioid problem associated with the influence of COVID-19 on elective arthroplasty services. Viable alternatives to opioid analgesia for those with end-stage arthritis should be explored, and prolonged waiting times for surgery ought to be avoided in the recovery from COVID-19 to prevent more widespread opioid use.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2021 Document Type: Article Affiliation country: Bmjqs-2021-013450

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2021 Document Type: Article Affiliation country: Bmjqs-2021-013450