Primary care provider perspectives on and utilization of a mandatory prescription drug monitoring program in New York City

Health-care practitioner use of prescription drug monitoring programs in clinical practice in Australia: A qualitative study

INTRODUCTION

Prescription drug monitoring programs (PDMP) are electronic databases used by prescribers and pharmacists to monitor the use of high-risk prescription medications subject to extramedical use. This study aimed to explore how Australian pharmacists and prescribers are using PDMPs in practice and to gain an understanding of barriers to tool use, as well as practitioner recommendations to increase tool usability and uptake.

METHODS

Semi-structured interviews were conducted with pharmacists and prescribers who use a PDMP (n = 21). The interviews were audio-recorded, transcribed and thematically analysed.

RESULTS

The four themes that emerged were: (i) PDMP notifications combined with practitioner clinical judgement guide PDMP usability; (ii) practitioners use PDMPs to facilitate patient and practitioner communication; (iii) workflow systems integration impacts tool usability; and (iv) optimising PDMP information and data access including practitioner-tool engagement to improve tool uptake and usability.

DISCUSSION AND CONCLUSIONS

Practitioners appreciate the value of PDMP information support for clinical decisions and patient communication. However, they also acknowledge the challenges to tool use and recommend improvements including enhanced workflow, systems integration, optimisation of tool information and national data sharing. Practitioners provide an important perspective on PDMP use in clinical practice. The findings can be drawn on by PDMP administrators to improve tool usefulness. Consequently, this may lead to an increase in practitioner PDMP use and optimise the delivery of quality patient care.

Barriers and facilitators related to healthcare practitioner use of real time prescription monitoring tools in Australia

Introduction

Real time prescription monitoring tools have been implemented in Australia to address the growing concerns of drug misuse, drug-related mortality and morbidity. The objective of this pilot study is to investigate the barriers and facilitators related to healthcare practitioner use of real time prescription monitoring tools.

Methods

An online survey was distributed to Australian prescribers and pharmacists who use a real time prescription monitoring tool. Data analysis included descriptive statistics, chi-square tests and multivariate logistic regression analyses.

Results

A total of 102 questionnaires were analyzed. Practitioners mainly agreed that the tool was easy to use (n = 64; 66.7%) and access (n = 56; 57.7%), and the data was easy to interpret (n = 77; 79.4%). Over half agreed that they wanted training to guide clinical actions (n = 52; 55.9%) and clinical guidelines or guidance on what to do with the RTPM findings (n = 51; 54.8%). Prescribers were more likely to report difficulties with workplace access to a computer or the internet (n = 7; 21.2%) compared with pharmacists (n = 6; 9.2%; p = 0.037). Practitioners working in community settings (n = 59; 57.9%; p = 0.022) and those with 1-10 years practice experience (n = 45; 44.2%; p = 0.036) were more likely to want training to guide clinical actions in response to RTPM information.

Conclusion

This is the first known study to investigate the barriers and facilitators related to practitioner use of RTPM tools in Australia. The results from this study can inform further research to gain an understanding of healthcare practitioners use of RTPM tools, and how to minimize barriers and optimize use for the essential delivery of quality healthcare.

Cycles of Chronic Opioid Therapy Following Mandatory Prescription Drug Monitoring Program Legislation: A Retrospective Cohort Study

BACKGROUND

Mandates for prescriber use of prescription drug monitoring programs (PDMPs), databases tracking controlled substance prescriptions, are associated with reduced opioid analgesic (OA) prescribing but may contribute to care discontinuity and chronic opioid therapy (COT) cycling, or multiple initiations and terminations.

OBJECTIVE

To estimate risks of COT cycling in New York City (NYC) due to the New York State (NYS) PDMP mandate, compared to risks in neighboring New Jersey (NJ) counties.

DESIGN

We estimated cycling risk using Prentice, Williams, and Peterson gap-time models adjusted for age, sex, OA dose, payment type, and county population density, using a life-table difference-in-differences design. Failure time was duration between cycles. In a subgroup analysis, we estimated risk among patients receiving high-dose prescriptions. Sensitivity analyses tested robustness to cycle volume considering only first cycles using Cox proportional hazard models.

PARTICIPANTS

The cohort included 7604 patients dispensed 12,695 prescriptions.

INTERVENTIONS

The exposure was the August 2013 enactment of the NYS PDMP prescriber use mandate.

MAIN MEASURES

We used monthly, patient-level data on OA prescriptions dispensed in NYC and NJ between August 2011 and July 2015. We defined COT as three sequential months of prescriptions, permitting 1-month gaps. We defined recurrence as re-initiation of COT after at least 2 months without prescriptions. The exposure was enactment of the PDMP mandate in NYC; NJ was unexposed.

KEY RESULTS

Enactment of the NYS PDMP mandate was associated with an adjusted hazard ratio (HR) for cycling of 1.01 (95% CI, 0.94-1.08) in NYC. For high-dose prescriptions, the risk was 1.16 (95% CI, 1.01-1.34). Sensitivity analyses estimated an overall risk of 1.01 (95% CI, 0.94-1.11) and high-dose risk of 1.09 (95% CI, 0.91-1.31).

CONCLUSIONS

The PDMP mandate had no overall effect on COT cycling in NYC but increased cycling risk among patients receiving high-dose opioid prescriptions by 16%, highlighting care discontinuity.

Patient experiences of prescription drug monitoring programs: a qualitative analysis from an Australian pharmaceutical helpline

BACKGROUND

Prescription Drug Monitoring Programs (PDMP) are electronic databases that are used to track and monitor the prescribing and dispensing of controlled substances, such as opioid analgesics and benzodiazepines. PDMP have been used widely throughout North America and have recently been implemented in Australia. Several unintended harms have been associated with PDMP in North America, including increased stigma, discrimination, and dismissal from care for patients prescribed these medications.

AIMS

This study aimed to better understand how people who use prescription medications extramedically and their loved ones give meaning to their consumption and their treatment experiences and concerns in the context of a newly implemented real-time PDMP in Victoria, Australia.

METHOD

Nineteen audio recordings of telephone calls made to the PDMP Pharmaceutical Helpline were transcribed and thematically analysed.

RESULTS

Patients and their families were hopeful that PDMP would stop the extra medical use of medications. However, many were deeply concerned about how they would cope with withdrawal or life stressors without the support these medications afforded. Patients reported experiences of stigma and strained therapeutic relationships associated with PDMP implementation.

CONCLUSION

PDMP have the potential to both assist and harm patients whose prescription medication use has been identified as 'risky' by the PDMP. The findings from this study suggest that clear and open communication, as well as reflection on unconscious bias and stigma may assist healthcare providers to facilitate better patient experiences and outcomes in the context of prescription medication dependence.