The impact of referral wait times on high‐risk medication usage in patients with chronic pain: a tertiary pain clinic retrospective chart audit

Abstract Background Increasing demand for specialist pain clinics for patients with chronic non‐cancer pain has led to longer wait times. The shift towards multimodal analgesia has raised significant safety concerns, particularly in vulnerable populations, yet remains unexplored. Aim This study aimed to investigate changes in medication use for opioids, gabapentinoids, and benzodiazepines among patients waiting for an initial appointment at a tertiary pain clinic, and to determine the effect of waitlist duration on opioid doses. Method A retrospective audit of patients referred to a pain clinic between January 2022–December 2023 was conducted at a public tertiary hospital, located in Queensland, Australia. Data from general practitioner referrals and first appointments were analysed. Negative binomial regression examined the relationship between waitlist duration and opioid dosages. This project was exempt due to the local policy requirements that constitute research by the Metro South Health Human Research Ethics Committee (Reference no: EX/2023/QMS/98214). The justification for this exemption was as follows: the project only utilised anonymised data collected as part of routine clinical practice, presented minimal patient risk, and conforms with the National Health and Medical Research Council Ethical considerations in quality assistance and evaluation activities . Results The study included 500 patients with complete data, of whom 82% reported using prescribed opioids at referral, 42% reporting using gabapentinoids, and 25% reported using benzodiazepines. Concomitant use was common, with 43% of patients on opioids plus at least one other medication class at referral. The median waitlist duration was 320 days. After adjusting for covariates, there was no effect of waitlist duration on opioid doses at first appointment. Referral opioid dose was the strongest predictor of first appointment opioid dose (odds ratio 1.01, 95% confidence interval 1.009–1.012, p < 0.001). Conclusion Despite no effect of waitlist duration on opioid doses, high rates of concurrent medication use highlight the need for improved triage systems and management strategies to reduce risks and optimise care.

Authors

Institutions

Publication Details

Journal
Journal of Pharmacy Practice and Research
Published
2025-07-14
DOI
https://doi.org/10.1002/jppr.70034
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of referral wait times on high‐risk medication usage in patients with chronic pain: a tertiary pain clinic retrospective chart audit

Kristin Tynan, Samantha J. Borg, Tamara Ownsworth, Nicholas Aitcheson et al.
1 links
Journal of Pharmacy Practice and Research
Musculoskeletal pain and rehabilitation
article

The impact of referral wait times on high‐risk medication usage in patients with chronic pain: a tertiary pain clinic retrospective chart audit

Kristin Tynan, Samantha J. Borg, Tamara Ownsworth, Nicholas Aitcheson, Cheuk Yiu Cheung
article en

Abstract

Abstract Background Increasing demand for specialist pain clinics for patients with chronic non‐cancer pain has led to longer wait times. The shift towards multimodal analgesia has raised significant safety concerns, particularly in vulnerable populations, yet remains unexplored. Aim This study aimed to investigate changes in medication use for opioids, gabapentinoids, and benzodiazepines among patients waiting for an initial appointment at a tertiary pain clinic, and to determine the effect of waitlist duration on opioid doses. Method A retrospective audit of patients referred to a pain clinic between January 2022–December 2023 was conducted at a public tertiary hospital, located in Queensland, Australia. Data from general practitioner referrals and first appointments were analysed. Negative binomial regression examined the relationship between waitlist duration and opioid dosages. This project was exempt due to the local policy requirements that constitute research by the Metro South Health Human Research Ethics Committee (Reference no: EX/2023/QMS/98214). The justification for this exemption was as follows: the project only utilised anonymised data collected as part of routine clinical practice, presented minimal patient risk, and conforms with the National Health and Medical Research Council Ethical considerations in quality assistance and evaluation activities . Results The study included 500 patients with complete data, of whom 82% reported using prescribed opioids at referral, 42% reporting using gabapentinoids, and 25% reported using benzodiazepines. Concomitant use was common, with 43% of patients on opioids plus at least one other medication class at referral. The median waitlist duration was 320 days. After adjusting for covariates, there was no effect of waitlist duration on opioid doses at first appointment. Referral opioid dose was the strongest predictor of first appointment opioid dose (odds ratio 1.01, 95% confidence interval 1.009–1.012, p < 0.001). Conclusion Despite no effect of waitlist duration on opioid doses, high rates of concurrent medication use highlight the need for improved triage systems and management strategies to reduce risks and optimise care.

Journal of Pharmacy Practice and ResearchVol. 55(6)
Griffith University (AU), The University of Queensland (AU), Princess Alexandra Hospital (AU)
Openalex Percentile: Top 80%
Musculoskeletal pain and rehabilitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.