Beyond the paper trail: using technology to reduce escalating harms from opioid prescribing in Australia

Clinician training level impacts prescribing practices for the conservative management of acute renal colic: a contemporary update

PURPOSE

Given the current and increasing awareness of the opioid crisis, this study aimed to characterise the types of analgesic prescription for conservatively managed renal colic.

METHODS

This was a retrospective cohort study of consecutive patients presenting to the Emergency Department (ED) in 2014-2019. Patients were included if they had radiographically confirmed obstructing calculus, managed conservatively without intervention, and were given a prescription for analgesia on discharge. Patient demographics were recorded and analysed. Opioid, non-opioid, and alpha-blocker medications were compared according to patient and disease parameters, and clinician training. Oral morphine equivalents (OMEs) were used to compare prescribed quantities. Subgroup analyses of stone size and location were performed.

RESULTS

Our analysis included 1761 patients with confirmed renal colic: median age of 50 years (16-96). Altogether, 88% of included patients were prescribed opioids on discharge, while only 68% were prescribed non-opioids (p < 0.001). Oxycodone immediate release was the most frequently prescribed analgesic. Logistic regression modelling controlling for patient and disease characteristics significantly predicted more non-opioid (p < 0.001) and alpha-blocker (p = 0.037) prescription with clinician training < 3 years. Linear regression modelling demonstrated that clinicians training < 3 years predicted lower OMEs per prescription compared to clinicians with ≥ 3 years of training (p = 0.001). Subgroup analyses supported similar predictions with training.

CONCLUSIONS

Prescribing patterns are associated with different clinician experience levels. However, a substantial amount of opioids are still given overall on patient discharge regardless of the clinician experience. Educational interventions aimed at reducing the opioid prescription rate and quantities may be considered for clinicians of all training levels.

Opioid analgesic use in Australia and The Netherlands: a cross-country comparison

Background Increasing use of opioid analgesics (OA) has been reported worldwide. Objective To compare the use of OA in two countries in order to better understand these trends. Setting Outpatient settings in Australia and The Netherlands. Method We analysed publicly available government data on outpatient OA dispensing over 15 years (2000-2014). We compared dispensing trends for specific OA and explored medical (national clinical guidelines), contextual and policy-related factors to explain differences in use between the two countries. Main outcome measure OA prescribing in Australia and The Netherlands, absolute volume of use, preferred types of opioids and changes over time. Results The average annual increase in OA prescribing was 10% in Australia and 8% in The Netherlands between 2000 and 2014. In 2014, the total use of OA was 10.0 daily defined doses (DDD)/1000 population/day in Australia and 9.4 DDD/1000 population/day in The Netherlands. In Australia, the most commonly prescribed opioids were oxycodone and tramadol, compared to fentanyl and tramadol in The Netherlands. We found differences in prescribing guidelines, culture of prescribing and regulatory frameworks that could explain some of the observed differences. Conclusion OA prescribing has increased remarkably in both countries between 2000 and 2014 but the types of prescribed OA vary. Differences in national evidence-based guidelines influenced the types of OA used. Prescribing culture as well as regulatory policies and costs, may also contribute to the different patterns of OA use.

Confidence interval estimation in R-DAS

BACKGROUND

Roughly 25 years ago, the United States National Institute on Drug Abuse (US NIDA) initiated the creation of public use datasets for its National Household Survey on Drug Abuse, since re-named the National Survey on Drug Use and Health (NSDUH). The Substance Abuse and Mental Health Services Administration (SAMHSA), which assumed responsibility for the survey in 1992, has continued and expanded this effort to make the survey data available to researchers. During 2012, SAMHSA created a "Restricted-Use Data Analysis System" (R-DAS) to provide researchers with the capability to create tabulations using restricted NSDUH variables not otherwise available on the public-use files.

METHODS

This methods focused article is intended to help potential users of R-DAS-like online data analysis systems by (i) clarifying statistical issues involving approximation of confidence intervals (CI), (ii) providing a way to estimate CI when tabular output is suppressed with an 'error message' based on confidentiality restrictions, and (iii) showing how to make pairwise comparisons of estimates not otherwise allowed.

RESULTS

For illustration purposes, some empirical estimates are presented on a topic of continuing of public health concern in the US namely, extra-medical use of pain relievers (generally opioids), where the drugs are being used to get high and otherwise outside the boundaries intended by prescribing clinicians.

CONCLUSION

The R-DAS makes it possible to derive state-level estimates of male-female and age-related differences in incidence of extra-medical prescription pain reliever (EMPPR) use, not previously reported in peer-reviewed articles, and not available without research approaches described here.