International trends in prescription opioid sales among developed and developing economies, and the impact of the COVID-19 pandemic: A cross-sectional analysis of 66 countries

Quality use of publicly subsidised tapentadol in Australia: a population-based analysis

BACKGROUND

Sustained-release (SR) tapentadol was listed on Australia's Pharmaceutical Benefits Scheme (PBS) in 2014 for chronic severe pain requiring long-term opioid treatment. Dispensings have increased since listing despite declining trends in other PBS-listed opioids. Preferential prescribing of SR opioids may increase the risk of dependence and accidental overdose, particularly when used to treat acute pain.

AIMS

To explore the quality use of publicly subsidised tapentadol in Australia.

METHODS

We examined annual initiation rates and patterns of use of tapentadol (SR) in the dispensing records of a 10% random sample of PBS-eligible Australians (2014-2021). We used national tapentadol sales data to assess the proportion of sales attributable to the PBS.

RESULTS

Tapentadol initiation increased from 2014, peaking at 7.5/1000 adult population in 2019 before declining to 5.3/1000 in 2021. We identified 63 766 new users between 2014 and 2020, of whom 92.8% discontinued in the first year following initiation, 58.0% had only a single dispensing and 34.3% had no other opioids dispensed in the 3 months before or after initiation. 27.8% of new users were dispensed tapentadol on the same day as potentially interacting medicines. There was a sustained drop in the proportion of sales attributable to the PBS from June 2020 onwards, from an average of 69.1%, to 63.9% of pack sales.

CONCLUSIONS

Patterns of use suggest tapentadol (SR) is generally used for short duration. Although most tapentadol sold in Australia is subsidised, there is evidence of a shift towards private sales.

The spatial linkage mechanism: medical level, public health security, and economic climate from 19 OECD EU countries

Introduction

The global spread of the COVID-19 has brought about global changes, especially in terms of economic growth. Therefore, it has become a global issue to explore the impact of public health security on the economy.

Methods

Employing a dynamic spatial Durbin model, this study analyzes the spatial linkage mechanism of medical level, public health security, and economic climate in 19 countries as well as investigates the relationship between economic climate and COVID-19 by the panel data of 19 OECD European Union countries from March 2020 to September 2022.

Results

Results show that an improvement in the medical level can reduce the negative impact of public health security on the economy. Specifically, there is a significant spatial spillover effect. The degree of economic prosperity hurts the reproduction rate of COVID-19.

Discussion

Policymakers should consider both the severity of the public health security issues and the economic level when developing prevention and control policies. Given this, corresponding suggestions provide theoretical support for formulating policies to reduce the economic impact of public health security issues.

Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning

Introduction

Like its counterpart to the south, Canada ranks among the top five countries with the highest rates of opioid prescriptions. With many suffering from opioid use disorder first having encountered opioids via prescription routes, practitioners and health systems have an enduring need to identify and effectively respond to the problematic use of opioid prescription. There are strong challenges to successfully addressing this need: importantly, the patterns of prescription fulfillment that signal opioid abuse can be subtle and difficult to recognize, and overzealous enforcement can deprive those with legitimate pain management needs the appropriate care. Moreover, injudicious responses risk shifting those suffering from early-stage abuse of prescribed opioids to illicitly sourced street alternatives, whose varying dosage, availability, and the risk of adulteration can pose grave health risks.

Methods

This study employs a dynamic modeling and simulation to evaluate the effectiveness of prescription regimes employing machine learning monitoring programs to identify the patients who are at risk of opioid abuse while being treated with prescribed opioids. To this end, an agent-based model was developed and implemented to examine the effect of reduced prescribing and prescription drug monitoring programs on overdose and escalation to street opioids among patients, and on the legitimacy of fulfillments of opioid prescriptions over a 5-year time horizon. A study released by the Canadian Institute for Health Information was used to estimate the parameter values and assist in the validation of the existing agent-based model.

Results and discussion

The model estimates that lowering the prescription doses exerted the most favorable impact on the outcomes of interest over 5 years with a minimum burden on patients with a legitimate need for pharmaceutical opioids. The accurate conclusion about the impact of public health interventions requires a comprehensive set of outcomes to test their multi-dimensional effects, as utilized in this research. Finally, combining machine learning and agent-based modeling can provide significant advantages, particularly when using the latter to gain insights into the long-term effects and dynamic circumstances of the former.

Are pharmacists' knowledge and practice the key to promoting deprescribing of potentially inappropriate medication: a missing link between treatment and outcomes

OBJECTIVES

Deprescribing is a novel strategy whereby medical professionals aim to optimize a patient's prescription program by removing redundant medications. Few studies have looked at the viewpoints of community pharmacists and other healthcare professionals on deprescribing in daily practice. This study's objectives included evaluating community pharmacists' deprescribing knowledge, attitudes and practices, as well as identifying the obstacles to and enablers of deprescribing in daily practice.

METHODS

Five pharmacy students in the last year of their studies polled employees of neighbourhood pharmacies in Abu Dhabi, Dubai, and the Northern Emirates from April 2022 to July 2022. The study's questionnaire was divided into two sections: questions that inquired about the respondents' demographic data and questions that evaluated the respondents' understanding and usage of the deprescribing of potentially harmful medications for patients. The original Bloom's cutoff points were revised and modified to assess the general knowledge and deprescribing practices of United Arab Emirates (UAE) community pharmacists. Multivariate logistic regression identified the variables influencing respondents' deprescribing knowledge and practice.

KEY FINDINGS

The average age of the participants was 30.8 ± 6.4 SD. Of the total, 255 (37.7%) were male and 422 (62.3%) were female. Pharmacists from independent pharmacies constituted 52.9% of the study sample and 47.1% were from Chain pharmacies. Among the participants, 58.8% (n = 398) had 1-5 years of experience and 41.2% (n = 279) had more than 5 years. Nearly three-quarters of the pharmacists (72.1%, 488) graduated from local universities and 27.9% (n = 189) graduated from regional/international universities. The vast majority of the study sample (84.8%, 574) were bachelor's degree holders and 88.3% (n = 598) were pharmacists in charge. Of the total, 69.3% (n = 469) received deprescribing training to treat patients with multimorbid diseases. The knowledge and practice score was 71.3% with a 95% confidence interval [70.2%, 72.4%]. Of the total participants, 113 (16.7%) had poor knowledge and practice about deprescribing, 393 (58.1%) had moderate knowledge and practice and 171 (25.3%) had good knowledge and practice.

CONCLUSION

This study highlights the level of understanding of community pharmacists about deprescribing in the UAE. Although most of the respondents in this study received training on deprescribing, less than half of the community pharmacists were unaware of certain classes (long-acting sulfonylureas, anti-diabetic, antihyperlipidemic and psychotropic drugs) of drugs that are candidates for potential deprescribing. This finding indicates that their knowledge about deprescribing was insufficient. Several barriers community pharmacists face in deprescribing were also identified, with patients' resistance and insufficience being the most prevalent. Therefore, there is a need for improved deprescribing practices to ensure drug safety.