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.

Changes in opioid agonist treatment initiation among people prescribed opioids for pain following voluntary and mandatory prescription drug monitoring program implementation: A time series analysis

INTRODUCTION

Prescription drug monitoring programs (PDMP) are increasingly used to identify people prescribed high-dose opioids. However, little is known about whether PDMPs impact opioid agonist treatment (OAT) uptake, the gold standard for opioid use disorder. This study examined the impact of PDMP implementation on OAT initiation among people prescribed opioids, in Victoria, Australia.

METHODS

De-identified electronic records from all 464 Victorian general practices included in the POLAR database were used. OAT initiation was defined as a new OAT prescription between 1 April 2017 and 31 December 2020, with no OAT prescriptions in the year prior. Interrupted time series analyses were used to compare outcomes before (April 2017 to March 2019) and after (April 2019 to December 2020) PDMP implementation. Binary logistic regression was used to examine differences in patients' characteristics associated with OAT initiation prior to and after PDMP implementation.

RESULTS

In total, 1610 people initiated OAT, 946 before and 664 after PDMP implementation. No significant immediate (step) or longer-term (slope) changes in the rates of OAT initiation were identified following PDMP implementation, after adjusting for seasonality. A high opioid dose (>100 mg oral morphine equivalent) in the 6-months prior to OAT initiation was the only significant characteristic associated with reduced odds of OAT initiation post-PDMP implementation (odds ratio 0.29; 0.23-0.37).

DISCUSSION AND CONCLUSIONS

PDMP implementation did not have a significant impact on OAT initiation among people prescribed opioids. Findings suggest additional clinical initiatives that support OAT initiation are required to ensure PDMPs meet their intended target of reducing opioid-related harms.

Identifying Prescription-Opioid-Related Risks Using Prescription Drug Monitoring Programs' Algorithms and Clinical Screening Tools

BACKGROUND

Pharmacists adopt various approaches to identifying prescription-opioid-related risks and harms, including prescription drug monitoring programs (PDMPs) and clinical screening tools. This study aims to compare 'at-risk' patients according to the published Australian PDMP algorithms with the validated Routine Opioid Outcome Monitoring (ROOM) clinical screening tool.

METHODS

Data were used from an implementation study amongst people who had been prescribed regular opioids. We examined the results from ROOM and the patients' dispensing history over the previous 90 days. A chi-squared test was used to examine the association between risk according to (i) a PDMP alert and a clinical risk per ROOM; (ii) a PDMP alert and positive screening for opioid use disorder; and (iii) a PDMP 'high-dose' alert (average of >100 mg OME/day in the past 90 days) and any ROOM-validated risk.

RESULTS

No significant associations were found between being 'at-risk' according to any of the PDMP alerts and clinical risk as identified via the ROOM tool (x2 = 0.094, p = 0.759). There was only minimal overlap between those identified as 'at-risk' via PDMP alerts and those meeting the clinical risk indicators; most patients who were 'at-risk' of clinical opioid-related risk factors were not identified as 'at-risk' based on PDMP alerts.

CONCLUSIONS

PDMP alerts were not predictive of clinical risk (as per the ROOM tool), as many people with well-established clinical risks would not receive a PDMP alert. Pharmacists should be aware that PDMPs are limited to identifying medication-related risks which are derived using algorithms; therefore, augmenting PDMP information with clinical screening tools can help create a more detailed narrative of patients' opioid-related risks.

The Opioid Epidemic: A Review of the Contributing Factors, Negative Consequences, and Best Practices

The opioid epidemic is a significant public health crisis that has caused extensive harm and devastation in the United States. This literature review aimed to identify the contributing factors and negative consequences of the epidemic, as well as best practices for healthcare providers in managing the epidemic. Overprescribing opiates and opioids, lack of education and opportunity, and being unmarried or divorced were some of the identified contributing factors to dependence on opioids. The epidemic's negative consequences are substantial, leading to increased access to opioids for vulnerable populations, which consequently cause accidental death among men and the degradation of rural community health services. As part of the literature review, we also analyzed the best practices for healthcare providers, including implementing prescription drug monitoring programs (PDMPs). However, we found that while PDMPs resulted in a decrease in opioid overprescription and an increase in provider confidence when prescribing medication, the evidence for their effectiveness in improving rural community health services or reducing opioid overdoses and opioid-related deaths was inconclusive. Our review highlights that the greatest challenge to overcome is a lack of legal mandates and proper education for healthcare providers on best practices for addressing the epidemic. To regulate and control opioids effectively, tracking and standardizing prescription models by federal agencies and medical institutions is necessary but not enough. Legal action is vital for the successful containment of the opioid crisis.

Receipt of Prescription Psychostimulants and Stimulant-Involved Fatal Overdose: A Population-Based Case-Control Study

Background: Rates of psychostimulant use, misuse, and hospitalization have increased markedly over the past decade. The objective of this study was to estimate the association between receipt of a psychostimulant prescription in the past year and fatal, unintentional psychostimulant-involved overdose. Methods: We conducted a population-based case-control study using linked, state-level databases from the Rhode Island Department of Health. Cases were defined as Rhode Island residents who experienced a fatal, unintentional drug overdose involving a psychostimulant, and controls included non-psychostimulant involved fatal overdoses occurring between May 1, 2017 and May 31, 2020 The primary exposure of interest was receipt of a psychostimulant prescription within 12 months prior to death, ascertained through linkage to the state's prescription drug monitoring program. Conditional logistic regression was used to estimate unadjusted and adjusted odds ratios. Results: Of 894 eligible overdose fatalities, the majority were white/non-Hispanic (72%), mean age was 43 years, and most resided in Providence County (69%). A total of 39 (4%) involved a psychostimulant. After adjusting for year of death and matching by sex, age, and county of residence, cases had 4.1 (95% confidence interval: 1.6, 10.6) times the odds of receiving a prescription stimulant in the past year compared to controls. Conclusions: Our findings suggest that there is a strong, positive association between prescription psychostimulant receipt and psychostimulant-involved fatal overdose. In response to an evolving polysubstance use landscape, current harm reductions measures, including naloxone training, fentanyl test strip distribution, and overdose education, should be expanded to include patients who receive psychostimulant prescriptions.

Association of prescription drug monitoring programs with benzodiazepine prescription dispensation and overdose in adolescents and young adults

INTRODUCTION

Prescription drug monitoring programs are state-run databases designed to support safe prescribing of controlled substances and reduce prescription drug misuse. We analyzed healthcare claims data to determine the association between prescription drug monitoring programs with mandated provider review and adolescent and young adult benzodiazepine prescription dispensing and overdose.

METHODS

We performed a state-level retrospective cohort study to evaluate the association between implementation of prescription drug monitoring programs with mandated provider review and benzodiazepine prescription dispensing and benzodiazepine-related overdoses among adolescents (13-18 years) and young adults (19-25 years) between 1 January 2008 and 31 December 2019. Data were obtained from a United States commercial health insurance company.

RESULTS

There were 74,539 (1.8%) adolescents and 246,760 (4.0%) young adults with at least one benzodiazepine prescription dispensed. Benzodiazepine overdoses occurred among 1,569 (0.04%) and 3,202 (0.05%) adolescents and young adults, respectively. Implementation of a prescription drug monitoring program with mandated provider review was associated with a 6.8% (95% CI, 1.6-11.8) yearly reduction in benzodiazepine prescription dispensing among adolescents and a 12.5% (95% CI, 9.3-15.5) yearly reduction among young adults. There was no decrease in benzodiazepine overdoses in either age group (-15.4% [95% CI, -21.5 to 3.0] and -8.0% [95% CI, -18.0 to 3.2] yearly change in adolescents and young adults, respectively).

DISCUSSION

Consistent with prior work, our study did not find an association between prescription drug monitoring program implementation and reduction in benzodiazepine-related overdoses among adolescents and young adults. However, the substantial reduction in benzodiazepine prescription dispensing is encouraging.

CONCLUSION

Prescription drug monitoring programs were associated with decreases in benzodiazepine prescription dispensing, but not benzodiazepine-related overdoses in this cohort of adolescents and young adults. These findings serve to inform development of further policies to address rising rates of benzodiazepine misuse and overdose in this patient population.

Concordance of opioid exposure in all-payer claims databases with prescription drug monitoring program database using Arkansas as a case example

OBJECTIVE

To assess the concordance between and benefit of adding prescription drug monitoring program (PDMP) data to all-payer claims database (APCD) data for identifying and classifying opioid exposure among insured individuals.

DATA SOURCES AND STUDY SETTING

Arkansas APCD and PDMP.

STUDY DESIGN

Enrollees in APCD were classified as (1) true positives: if they received opioids in both databases, (2) false positives: if they only received opioids in APCD, (3) true negatives: if they had no opioid exposure in both databases, (4) false negatives: if they only received opioids in the PDMP database. Specificity, sensitivity, negative, and positive predictive values were calculated using PDMP as the "gold standard" database source. Subjects were also categorized as those who received any opioid, chronic opioid, high-dose opioid, or high-risk opioid therapies.

DATA COLLECTION/EXTRACTION METHODS

Arkansas residents continuously enrolled with pharmacy coverage in 2016 were included. APCD and PDMP were linked using an encrypted enrollee identifier, gender, and year of birth.

PRINCIPAL FINDINGS

The degree of concordance in opioid exposure between the two databases among 1,411,565 enrollees was high (sensitivity = 92.67%, specificity = 96.13%, positive predictive value = 91.60%, negative predictive value = 96.65%). Enrollees classified as having any opioid (APCD: 31.64% vs. PDMP: 31.26% vs. APCD+PDMP: 33.93%), chronic opioid (APCD: 7.81% vs. PDMP: 7.54% vs. APCD+PDMP: 8.24%), high-dose opioid (APCD: 10.60% vs. PDMP: 9.62% vs. APCD+PDMP: 11.33%), or high-risk opioid (APCD: 5.28% vs. PDMP: 5.33% vs. APCD+PDMP: 6.20%) therapies, were similar using only APCD versus PDMP versus the combined APCD and PDMP data sources.

CONCLUSIONS

Claims data sources, such as APCDs, are fairly accurate in identifying opioid exposure and the level of opioid exposure among persons with continuous pharmacy coverage.

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.

Differential patterns of opioid misuse between younger and older adults - a retrospective observational study using data from South Carolina's prescription drug monitoring program

Background: Most research on opioid misuse focuses on younger adults, yet opioid-related mortality has risen fastest among older Americans over age 55.Objectives: To assess whether there are differential patterns of opioid misuse over time between younger and older adults and whether South Carolina's mandatory Prescription Drug Monitoring Program (PDMP) affected opioid misuse differentially between the two groups.Methods: We used South Carolina's Reporting and Identification Prescription Tracking System from 2010 to 2018 to calculate an opioid misuse score for 193,073 patients (sex unknown) using days' supply, morphine milligram equivalents (MME), and the numbers of unique prescribers and dispensaries. Multivariable regression was used to assess differential opioid misuse patterns by age group over time and in response to implementation of South Carolina's mandatory PDMP in 2017.Results: We found that between 2011 and 2018, older adults received 57% (p < .01) more in total MME and 25.4 days more (p < .01) in supply, but received prescriptions from fewer doctors (-0.063 doctors, p < 01) and pharmacies (-0.11 pharmacies, p < 01) per year versus younger adults. However, older adults had lower odds of receiving a high misuse score (OR 0.88, p < .01). After the 2017 legislation, misuse scores fell among younger adults (OR 0.79, p < .01) relative to 2011, but not among older adults.Conclusion: Older adults may misuse opioids differently compared to younger adults. Assessment of policies to reduce opioid misuse should take into account subgroup differences that may be masked at the population level.

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

BACKGROUND

The ways in which prescription drug monitoring programs (PDMPs) have been integrated into primary care practice remain understudied, and research into physician utilization of PDMPs in states where PDMP use is mandated remains scant.

OBJECTIVES

To characterize primary care physician perspectives on and utilization of a mandatory PDMP in New York City.

METHODS

We conducted face-to-face, in-depth interviews with primary care physicians who reported that they currently prescribed opioid analgesic medication. We used a thematic analytic approach to characterize physician perspectives on the PDMP mandate and physician integration of mandatory PDMP use into primary care practice.

RESULTS

Primary care providers demonstrated a continuum of PDMP utilization, ranging from consistent use to the specifications of the mandate to inconsistent use to no use. Providers reported a range of perspectives on the purpose and function of the PDMP mandate, as well as a lack of clarity about the mandate and its enforcement.

CONCLUSION

Findings suggest a need for increased clinical and public health education about the use of PDMPs as clinical tools to identify and treat patients with potential substance use disorders in primary care.

A Risk Prediction Model for Long-term Prescription Opioid Use

BACKGROUND

Tools are needed to aid clinicians in estimating their patients' risk of transitioning to long-term opioid use and to inform prescribing decisions.

OBJECTIVE

The objective of this study was to develop and validate a model that predicts previously opioid-naive patients' risk of transitioning to long-term use.

RESEARCH DESIGN

This was a statewide population-based prognostic study.

SUBJECTS

Opioid-naive (no prescriptions in previous 2 y) patients aged 12 years old and above who received a pill-form opioid analgesic in 2016-2018 and whose prescriptions were registered in the California Prescription Drug Monitoring Program (PDMP).

MEASURES

A multiple logistic regression approach was used to construct a prediction model with long-term (ie, >90 d) opioid use as the outcome. Models were developed using 2016-2017 data and validated using 2018 data. Discrimination (c-statistic), calibration (calibration slope, intercept, and visual inspection of calibration plots), and clinical utility (decision curve analysis) were evaluated to assess performance.

RESULTS

Development and validation cohorts included 7,175,885 and 2,788,837 opioid-naive patients with outcome rates of 5.0% and 4.7%, respectively. The model showed high discrimination (c-statistic: 0.904 for development, 0.913 for validation), was well-calibrated after intercept adjustment (intercept, -0.006; 95% confidence interval, -0.016 to 0.004; slope, 1.049; 95% confidence interval, 1.045-1.053), and had a net benefit over a wide range of probability thresholds.

CONCLUSIONS

A model for the transition from opioid-naive status to long-term use had high discrimination and was well-calibrated. Given its high predictive performance, this model shows promise for future integration into PDMPs to aid clinicians in formulating opioid prescribing decisions at the point of care.

The opioid-prescribing practices of Australian general practice registrars: an interview study

BACKGROUND

Approximately half of the opioids prescribed by Australian GP and GP registrars are for chronic non-cancer pain-despite limited therapeutic benefit, and serious risks of harm. Understanding the factors driving non-evidence-based opioid prescribing may improve GP training and education.

OBJECTIVE

To explore attitudes, beliefs, knowledge and self-reported factors influencing the opioid-prescribing decisions of Australian GP registrars.

METHODS

Telephone interviews were undertaken with 20 GP registrars in 2018-19. Interviews were 30-60 minutes in duration, audio-recorded and de-identified. Braun and Clarke's 6-phase framework was adopted for reflexive thematic analysis of data and managed using QSR NVivo software.

RESULTS

Twenty registrars were recruited; 8 men and 12 women. Three themes were identified.

SUPPORT AND SUPERVISION

Difficult chronic pain consultations negatively affected the registrar well-being. Registrars role modelled their supervisors' opioid-prescribing practices, even if they perceived it to be unsafe.

CONFIDENCE

Registrars lacked confidence in initiating, prescribing and weaning opioids, recognizing drug-seeking behaviours and declining to prescribe-but felt confident in their knowledge of opioid pharmacology.

SAFETY

Registrars were aware of evidence-based prescribing recommendations and risk reduction strategies but struggled to translate this into practice.

CONCLUSIONS

Non-evidence-based opioid prescribing by Australian GP registrars is multifactorial. Emotionally difficult pain consultations, poor supervision and low prescriber confidence may contribute to unsafe prescribing. Improving registrar prescribing may require interventions to improve risk reduction, training in communication and role modelling by supervisors.

High-Risk Opioid Prescribing Trends: Prescription Drug Monitoring Program Data From 2010 to 2018

OBJECTIVE

Deaths due to opioids have continued to increase in South Carolina, with 816 opioid-involved overdose deaths reported in 2018, a 9% increase from the prior year. The objective of the current study is to examine longitudinal trends (quarter [Q] 1 2010 through Q4 2018) of opioid prescribing volume and high-risk opioid prescribing behaviors in South Carolina using comprehensive dispensing data available in the South Carolina Prescription Drug Monitoring Program (SC PDMP).

DESIGN

Retrospective analyses of SC PDMP data were performed using general linear models to assess quarterly time trends and change in rate of each outcome Q1 2010 through Q4 2018.

PARTICIPANTS

Opioid analgesic prescription fills from SC state residents between Q1 2010 and Q4 2018.

MAIN OUTCOME MEASURES

High-risk prescribing behaviors included (1) opioid prescribing rate; (2) percentage of patients receiving opioids dispensed 90 or more average morphine milligram equivalents daily; (3) percentage of opioid prescribed days with overlapping opioid and benzodiazepine prescriptions; (4) rate per 100 000 residents of multiple provider episodes; and (5) percentage of patients prescribed extended release opioids who were opioid naive.

RESULTS

A total of 33 027 461 opioid prescriptions were filled by SC state residents within the time period of Q1 2010 through Q4 2018. A 41% decrease in the quarterly prescribing rate of opioids occurred from Q1 2010 to Q4 2018. The decrease in overall opioid prescribing was mirrored by significant decreases in all 4 high-risk prescribing behaviors.

CONCLUSION

PDMPs may represent the most complete data regarding the dispensing of opioid prescriptions and as such be valuable tools to inform and monitor the supply of licit opioids. Our results indicate that public health policy, legislative action, and multiple clinical interventions aimed at reducing high rates of opioid prescribing across the health care ecosystem appear to be succeeding in the state of South Carolina.

Academic detailing increases prescription drug monitoring program use among primary care practices

OBJECTIVE

Clinical review of a prescription drug monitoring program (PDMP) is considered a valuable tool for opioid prescribing risk mitigation; however, PDMP use is often low, even in states with mandatory registration and use policies. The objective was to evaluate the impact of an academic detailing (AD) outreach intervention on PDMP use among primary care prescribers.

METHODS

AD intervention was delivered to primary care based controlled substance prescribers (N = 87) and their associated PDMP delegates (n = 42) by a clinical pharmacist as 1 component of a large-scale, statewide initiative to improve opioid prescribing safety. Prescriber PDMP use behavior was assessed by prescriber self-report and analysis of objective 2016-2018 PDMP data regarding the number of monthly report requests. We compared means between pre- and postintervention using a paired t test and plotted the monthly average reports over time to assess the trend of mean reports over time. Generalized linear mixed model with a negative binomial distribution was used to assess the difference in the trend and magnitude of the combined count of reports for the entire sample and prescriber subsets that were segmented on the basis of the adoption status of PDMP.

RESULTS

The monthly mean of reports by combined prescribers and delegates significantly increased after the AD intervention (mean 28.1 pre vs. 53.0 post; P < 0.001), with the increase in delegate reports (mean 17.1 pre vs. 60.0 post; P < 0.001) driving the overall increase. Reports were requested 40.4 times more often than in the preintervention period (P < 0.001). Patterns of pre- to postchanges in mean monthly report requests differed by baseline PDMP adoption status.

CONCLUSION

The AD intervention was transformative in facilitating practice change to use delegates to run reports. Visits with both prescribers and delegates, including hands-on PDMP training and registration assistance, can be viewed as beneficial for practice facilitation.

Association Between State Policies on Improving Opioid Prescribing in 2 States and Opioid Overdose Rates Among Reproductive-aged Women

BACKGROUND

The opioid overdose epidemic has been declared a public health emergency. Women are more likely than men to be prescribed opioid medications. Some states have adopted policies to improve opioid prescribing, including prescription drug monitoring programs (PDMPs) and pain clinic laws.

OBJECTIVE

Among reproductive-aged women, we examined the association of mandatory use laws for PDMPs in Kentucky (concurrent with a pain clinic law) and New York with overdose involving prescription opioids or heroin and opioid use disorder (OUD).

STUDY DESIGN, SUBJECTS, AND OUTCOME MEASURES

We conducted interrupted time series analyses estimating outcome changes after policy implementation in Kentucky and New York, compared with geographically close states without these policies (comparison states), using 2010-2014 State Inpatient and State Emergency Department Databases. Outcomes included rates of inpatient discharges and emergency department visits for overdoses involving prescription opioids or heroin and OUD among reproductive-aged women.

RESULTS

Relative to comparison states, following Kentucky's policy change, we found an immediate postpolicy decrease and a decreasing trend in the rate of overdoses involving prescription opioids, an immediate postpolicy increase in the rate of overdoses involving heroin, and a decreasing trend in the OUD rate (P<0.01); New York's policy change was not associated with the assessed outcomes.

CONCLUSIONS

PDMPs and pain clinic laws, such as those implemented in Kentucky, may be promising strategies to reduce the adverse impacts of high-risk opioid prescribing among reproductive-aged women. As states continue efforts to improve inappropriate opioid prescribing, similar strategies as those adopted in Kentucky merit consideration.

Factors associated with the use of the prescription monitoring program by prescribers and pharmacists in Texas

PURPOSE

To describe Texas Prescription Monitoring Program (PMP) use and identify predictors of PMP query for opioid and benzodiazepine prescriptions by prescribers and pharmacists.

METHODS

Dispensation and query records from the Texas PMP for opioid and benzodiazepine medications dispensed between October 1, 2016 and December 31, 2018 were linked using common patient identifiers. Autoregressive linear regression was used to assess trends in utilization. Hierarchical logistic models were specified to identify factors associated with provider and pharmacist query of opioid and benzodiazepine prescriptions.

RESULTS

Despite a significant increase in the total number of pharmacists (β = 169.85, p < 0.0001) and prescribers (β = 301.59, p < 0.0001) who used the PMP every month, the ratio of active to registered pharmacists (β = -0.0001, p = 0.75) and prescribers (β = -0.0015, p = 0.10) did not change. Pharmacists and prescribers were significantly more likely to query opioid and benzodiazepine prescriptions of 14 days or more, and those issued to patients new to their practice. Pharmacists were most likely to query opioid prescriptions for oxycodone (aOR = 4.51, 95%CI = 4.42-4.60) and prescribers were most likely to query prescriptions for buprenorphine (aOR = 2.24, 95%CI = 2.15-2.35) compared to codeine.

CONCLUSION

Changes in PMP utilization between October 2016 and December 2018 were driven by increasing registration, not increasing frequency of use among registered users. Use of the PMP is inconsistent and dependent upon patient characteristics thus limiting the utility of the PMP as a decision support tool. These results support the need for policy mandating PMP use in Texas and provide a useful baseline and framework to evaluate the effectiveness of mandate implementation.

Initial Opioid Prescription and Number Needed to Harm

Prescription opioids are an important step in the development of persistent opioid use. Our study estimates the change in long-term opioid use before and after a 2017 regulatory update on acute pain prescribing. Prescribing information was abstracted from the Rhode Island Prescription Drug Monitoring Program (PDMP). Using the changed rates of initial opioid prescriptions of 8 or more days, and a calculated Number Needed to Harm for prescriptions of that duration, the rates of long-term opioid use were estimated decrease by 111 long-term opioid users per month.

A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data

PURPOSE

Public and private payers have implemented benefit limitations to reduce high-risk opioid prescriptions. The effect of these policies on the increase of out-pocket payment is unclear. To understand this gap, we compared the discrepancies in trends between opioid prescription fills vs claims among Medicaid beneficiaries.

METHODS

Data from the Oregon Prescription Drug Monitoring Program (PDMP) and Oregon Medicaid administrative claims were used to identify Medicaid beneficiaries 18 years and older enrolled at least one full month from 2015 to 2017. Generalized linear models assessed the trends in the monthly rates of opioid PDMP prescription fills and pharmacy claims per 1000 eligible members. Rates by morphine equivalent dose (MED) tier (<50, 50-89, 90-120, >120 MED) and co-prescribed opioid and benzodiazepine were also assessed.

RESULTS

During the study period, an average of 495 355 Medicaid members had 2 797 054 opioid PDMP fills and 2 472 155 opioid Medicaid pharmacy claims. Study participants had 15.4 (95% confidence interval [CI] 13.6 to 17.0; P < .001) more prescriptions per 1000 member per month in the PDMP data (114.1 [SD 7.4]) compared with the Medicaid claims data (98.7 [SD 7.9]). Similarly, there were 1.9 more co-occurring opioid/benzodiazepine prescriptions per 1000 members per month observed in the PDMP data than the Medicaid claims data (95% CI 1.7 to 2.1; P < .001). At each MED tier, the PDMP fills were consistently higher than the claims (P < .001).

CONCLUSIONS

Higher rate of fills in the PDMP compared to pharmacy claims suggests that there may be an increasing trend of out-of-pocket payment among Medicaid beneficiaries.

Health Information Technology and Doctor Shopping: A Systematic Review

Doctor shopping is the practice of visiting multiple physicians to obtain multiple prescriptions. Health information technology (HIT) allows healthcare providers and patients to leverage records or shared information to improve effective care. Our research objective was to determine how HIT is being leveraged to control for doctor shopping. We analyzed articles that covered a 10-year time period from four databases and reported using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We compared intervention, study design, and bias, in addition to showing intervention interactions with facilitators, barriers, and medical outcomes. From 42 articles published from six countries, we identified seven interventions, five facilitator themes with two individual observations, three barrier themes with six individual observations, and two medical outcome themes with four individual observations. Multiple HIT mechanisms exist to control for doctor shopping. Some are associated with a decrease in overdose mortality, but access is not universal or compulsory, and data sharing is sporadic. Because shoppers travel hundreds of miles in pursuit of prescription drugs, data sharing should be an imperative. Research supports leveraging HIT to control doctor shopping, yet without robust data sharing agreements, the efforts of the system are limited to the efforts of the entity with the least number of barriers to their goal. Shoppers will seek out and exploit that organization that does not require participation or checking of prescription drug monitoring programs (PDMP), and the research shows that they will drive great distances to exploit this weakest link.

Effect of a Law Requiring Prescription Drug Monitoring Program Use on Emergency Department Opioid Prescribing: A Single-Center Analysis

OBJECTIVE

To compare opioid prescribing behavior of emergency medicine providers following the enactment of Connecticut Public Act (PA) 15-198 at a large academic tertiary medical center.

METHODS

This study is a single-center pre and postlaw retrospective cohort of ED patients discharged with opioid prescriptions. Patients discharged from January 1, 2015, to June 30, 2015, were analyzed as the prelaw cohort, and patients discharged from January 1, 2016, to June 30, 2016, were analyzed as the postlaw cohort. The primary outcome was the cumulative dose of solid dosage forms of opioids per prescription, calculated in morphine milligram equivalents (MME).

RESULTS

A total of 10,307 prescriptions included in the final analysis. A statistically significant decrease in the primary outcome was seen in the postlaw cohort compared with the prelaw cohort, respectively (75 MME [interquartile range, IQR: 60-100) vs 80 MME [IQR: 75-150]; P < .001). The postlaw cohort also saw 1289 (22.2%) fewer opioid prescriptions, primarily driven by a reduction in the number of schedule II opioids prescribed. In a posthoc analysis, the primary outcome remained statistically significant even when opioid prescriptions were only included if their prebuilt settings were unchanged between pre and postlaw cohorts, respectively (85.1%; 95.6 MME (±56.0); n = 5041 vs 86.7 MME (±39.6); n = 3713; P < .001).

CONCLUSIONS

The passage of PA 15-198 was associated with a decrease in the cumulative dose of opioids per prescription of solid dosage form products. This drop was precipitated by a transition from using opioids in schedule II to opioids in schedule IV and a modest decrease in prescribed opioid quantity.

Substance Use Stigma, Primary Care, and the New York State Prescription Drug Monitoring Program

Prescription drug monitoring programs (PDMPs) are databases that track controlled substances at the provider, patient, and pharmacy levels. While these databases are widely available at the state level throughout the United States, several jurisdictions in recent years have mandated the use of these systems by health care providers. This study explores the implementation of mandatory PDMP technology in primary care practice and the effects on treatment of people with possible substance use disorders. Findings are based on 53 in-depth interviews with primary care providers in New York City, collected shortly following the passage of legislation mandating use of a PDMP by health care providers in New York State. Findings suggest that use of the PDMP highlighted tensions between provider stigma toward substance use disorders and the clinical care of people who use drugs, challenging their stereotypes and biases. The parallel clinical and law enforcement purposes of PDMP technology placed providers in dual roles as clinicians and enforcers and encouraged the punitive treatment of patients. Finally, PDMP technology standardized the clinical assessment process toward a "diagnosis first" approach, consistent with prior scholarship on the implementation of emerging medical technologies.

Opioid prescribing patterns and overdose deaths in Texas

BACKGROUND

Opioid use disorder has recently been declared a public health emergency, yet it is unknown whether opioid prescribing patterns have changed over time. Our objective is to examine opioid prescribing behavior and overdose fatalities in one large state prior to state-mandated usage of a prescription drug monitoring program (PDMP). Methods: We relied on de-identified longitudinal data from state and national databases for opioid prescriptions and overdose deaths in Texas between 2013 and 2017. Descriptive statistics and trend analyses were used to assess proportional differences and changes over time. Results: Prescriptions for opioids represented over 45% of the total controlled medications dispensed across the entire period. This equates to roughly 17.7 million opioid prescriptions dispensed per year, or 63.7 opioid prescriptions per 100 persons, slightly less than the reported national average. Hydrocodone was the most widely prescribed opioid (32.9%), followed by tramadol (26.9%) and codeine (21.5%). The overall controlled substance prescribing rate appears to be decreasing in the latest year, and the composition of opioids has shifted. We found a reduction in schedule II medications (such as hydrocodone and fentanyl) and increase in schedule IV medications such as tramadol. At the same time, total overdose fatalities increased 42% during this time, and population-adjusted rates increased 34% to 5.87 deaths per 100,000 persons. Conclusions: While prescribing rates have decreased in Texas, overdose deaths from both legal and illicit opioids are rising, suggesting that changing physician prescribing behavior alone may not be sufficient to curb the epidemic. Policies and community interventions should be considered to address increases in both prescription and illicit opioid deaths.

Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use

PURPOSE

Early detection of risky behaviors involving prescription opioids can assist prescribers in implementing safer prescribing. Patient-to-prescriber travel patterns may indicate potential opioid misuse. We introduce doctor hopping, patients bypassing nearby prescribers in favor of more distant ones, as a new spatial estimation of potentially risky behavior, and compare with traditional doctor shopping metrics.

METHODS

We examined all filled opioid prescriptions between 2015 and 2016 from the Arkansas Prescription Drug Monitoring Program. We calculated patient-to-prescriber travel times and number of prescribers bypassed for each prescription, adjusted for payment method. Opioid recipients traveling further than the nearest urban area and bypassing more prescribers than 99% of other recipients from the same zip code were identified as doctor hoppers. We calculated odds ratios to evaluate how doctor hopping and doctor shopping correspond to high-risk opioid uses.

RESULTS

Approximately 0.72% of all opioid recipients in Arkansas engaged in doctor hopping two or more times during the study period. Rates of doctor hopping varied spatially but were more common in rural areas. Doctor shopping was more common in urban areas. Both hopping and shopping were significantly associated with higher odds of engaging in high-risk opioid use. The combination of doctor hopping and doctor shopping metrics can predict high-risk use better than either metric alone and may allow for earlier detection than doctor shopping alone.

CONCLUSIONS

Doctor hopping is positively associated with high-risk opioid use and is distinct from and complementary to doctor shopping. We recommend Prescription Drug Monitoring Program (PDMP) vendors incorporate similar spatial analyses into their systems.

Patients With Hip or Knee Arthritis Underreport Narcotic Usage

BACKGROUND

Patients taking narcotics chronically are more likely to have worse outcomes after total joint arthroplasty. These negative outcomes may be avoided when modifiable risk factors such as narcotic use are identified and improved before elective joint replacement. An accurate assessment of narcotic use is needed to identify patients before surgery. This study examines the amount of reported narcotic use in patients with hip or knee osteoarthritis and compares this with the narcotic prescriptions recorded in our state's drug prescription monitoring database.

METHODS

All new patients seen during a 1-year period by our adult reconstruction practice were identified. Patients' electronic health records were reviewed to determine whether narcotic use was reported. A subsequent search was performed using the Arkansas Prescription Drug Monitoring Program to determine if the patient had been previously prescribed a narcotic.

RESULTS

A total of 502 patients were included in the study. One hundred seventy patients (34%) were prescribed a narcotic within 3 months of the clinic visit according to the Arkansas Prescription Drug Monitoring Program, but only 111 (22%) reported narcotic use in their electronic health record (P < .0001). Moreover, only 92 patients (54% of 170) prescribed a narcotic within 3 months reported it. Narcotic recipients were more likely to be under the age of 65 years (P = .0081), smokers (P < .0001), and current benzodiazepine users (P < .0001).

CONCLUSION

This study demonstrates that patients significantly underreport their narcotic use to their physician. The availability of a state prescription drug monitoring program allows physicians to check the frequency of filled narcotic prescriptions by their patients.

Impact of Florida's prescription drug monitoring program and pill mill law on high-risk patients: A comparative interrupted time series analysis

PURPOSE

We quantified the effects of Florida's prescription drug monitoring program and pill mill law on high-risk patients.

METHODS

We used QuintilesIMS LRx Lifelink data to identify patients receiving prescription opioids in Florida (intervention state, N: 1.13 million) and Georgia (control state, N: 0.54 million). The preintervention, intervention, and postintervention periods were July 2010 to June 2011, July 2011 to September 2011, and October 2011 to September 2012. We identified 3 types of high-risk patients: (1) concomitant users: patients with concomitant use of benzodiazepines and opioids; (2) chronic users: long-term, high-dose, opioid users; and (3) opioid shoppers: patients receiving opioids from multiple sources. We compared changes in opioid prescriptions between Florida and Georgia before and after policy implementation among high-risk/low-risk patients. Our monthly measures included (1) average morphine milligram equivalent per transaction, (2) total opioid volume across all prescriptions, (3) average days supplied per transaction, and (4) total number of opioid prescriptions dispensed.

RESULTS

Among opioid-receiving individuals in Florida, 6.62% were concomitant users, 1.96% were chronic users, and 0.46% were opioid shoppers. Following policy implementation, Florida's high-risk patients experienced relative reductions in morphine milligram equivalent (opioid shoppers: -1.08 mg/month, 95% confidence interval [CI] -1.62 to -0.54), total opioid volume (chronic users: -4.58 kg/month, CI -5.41 to -3.76), and number of dispensed opioid prescriptions (concomitant users: -640 prescriptions/month, CI -950 to -340). Low-risk patients generally did not experience statistically significantly relative reductions.

CONCLUSIONS

Compared with Georgia, Florida's prescription drug monitoring program and pill mill law were associated with large relative reductions in prescription opioid utilization among high-risk patients.

Prescription Opioid Misuse and Public Health Approach in Australia

The number of opioid prescriptions has increased significantly over the last few years due to multiple factors, such as physicians' heightened attention to pain management, greater prevalence of chronic pain due to the aging population, and the availability of sustained-release opioid preparations. Correspondingly, this has been associated with a rise in considerable harm due to opioid misuse, which is recognized as a national health priority in Australia. This article outlines the major public health approaches that have been introduced in Australia to address this issue. Opioid misuse can be addressed through establishing a real-time prescription drug monitoring program, ensuring adequate access to affordable and high quality medication-assisted treatment, and promoting physicians' use of the evidence-based guideline on appropriate opioid prescribing.

Development and Feasibility of an Academic Detailing Intervention to Improve Prescription Drug Monitoring Program Use Among Physicians

INTRODUCTION

South Carolina (SC) ranks 10th in opioid prescriptions per capita-33% higher than the national average. SC is also home to a large military and veteran population, and prescription opioid use for chronic pain is alarmingly common among veterans, especially those returning from Afghanistan and Iraq. This article describes the background and development of an academic detailing (AD) educational intervention to improve use of a Prescription Drug Monitoring Program among SC physicians who serve military members and veterans. The aim of this intervention was to improve safe opioid prescribing practices and prevent prescription opioid misuse among this high-risk population.

METHODS

A multidisciplinary study team of physicians, pharmacists, psychologists, epidemiologists, and representatives from the SC's Prescription Monitoring Program used the Medical Research Council complex interventions framework to guide the development of the educational intervention. The theoretical and modeling phases of the AD intervention development are described and preliminary evidence of feasibility and acceptability is provided.

RESULTS

Ninety-three physicians consented to the study from 2 practice sites. Eighty-seven AD visits were completed, and 59 one-month follow-up surveys were received. Participants rated the AD intervention high in helpfulness of information, intention to use information, and overall satisfaction with the intervention. The component of the intervention felt to be most helpful was the AD visit itself. Characteristics of the participants and the intervention, as well as anticipated barriers to behavior change are detailed.

DISCUSSION

Preliminary results support the feasibility of AD delivery to veteran and community patient settings, the feasibility of facilitating Prescription Drug Monitoring Program registration during an AD visit, and that AD visits were generally found satisfying to participants and helpful in improving knowledge and confidence about safe opioid prescribing practices. The component of the intervention felt to be most helpful to the participants was the actual AD visit, and most participants rated their intentions high to use the information and tools from the visit. Intervention key messages, preliminary outcome measures, and successes and challenges in developing and delivering this intervention are discussed to advance best practices in developing educational interventions in this important area of public health.

A Randomized Controlled Trial of a Citywide Emergency Department Care Coordination Program to Reduce Prescription Opioid Related Emergency Department Visits

BACKGROUND

Increasing prescription overdose deaths have demonstrated the need for safer emergency department (ED) prescribing practices for patients who are frequent ED users.

OBJECTIVES

We hypothesized that the care of frequent ED users would improve using a citywide care coordination program combined with an ED care coordination information system, as measured by fewer ED visits by and decreased controlled substance prescribing to these patients.

METHODS

We conducted a multisite randomized controlled trial (RCT) across all EDs in a metropolitan area; 165 patients with the most ED visits for complaints of pain were randomized. For the treatment arm, drivers of ED use were identified by medical record review. Patients and their primary care providers were contacted by phone. Each patient was discussed at a community multidisciplinary meeting where recommendations for ED care were formed. The ED care recommendations were stored in an ED information exchange system that faxed them to the treating ED provider when the patient presented to the ED. The control arm was subjected to treatment as usual.

RESULTS

The intervention arm experienced a 34% decrease (incident rate ratios = 0.66, p < 0.001; 95% confidence interval 0.57-0.78) in ED visits and an 80% decrease (odds ratio = 0.21, p = 0.001) in the odds of receiving an opioid prescription from the ED relative to the control group. Declines of 43.7%, 53.1%, 52.9%, and 53.1% were observed in the treatment group for morphine milligram equivalents, controlled substance pills, prescriptions, and prescribers, respectively.

CONCLUSION

This RCT showed the effectiveness of a citywide ED care coordination program in reducing ED visits and controlled substance prescribing.

Preparing a prescription drug monitoring program data set for research purposes

PURPOSE

To develop a complete and consistent prescription drug monitoring program (PDMP) data set for use by drug safety researchers in evaluating patterns of high-risk use and potential abuse of scheduled drugs.

METHODS

Using publically available data references from the US Food and Drug Administration and the Centers for Disease Control and Prevention, we developed a strategic methodology to assign drug categories based on pharmaceutical class for the majority of prescriptions in the PDMP data set. We augmented data elements required to calculate morphine milligram equivalents and assigned duration of action (short-acting or long acting) properties for a majority of opioids in the data set.

RESULTS

About 10% of prescriptions in the PDMP data set did not have a vendor-assigned drug category, and 20% of opioid prescriptions were missing data needed to calculate risk metrics. Using inclusive methods, 19 133 167 (>99.9%) of prescriptions in the PDMP data set were assigned a drug category. For the opioid category, augmenting data elements resulted in 10 760 669 (99.8%) having required values to calculate morphine milligram equivalents and evaluate duration of action properties.

CONCLUSIONS

Drug safety researchers who require a complete and consistent PDMP data set can use the methods described here to ensure that prescriptions of interest are assigned consistent drug categories and complete opioid risk variable values. Copyright © 2016 John Wiley & Sons, Ltd.

Dental opioid prescribing practices and risk mitigation strategy implementation: Identification of potential targets for provider-level intervention

BACKGROUND

Given the regular use of immediate-release opioids for dental pain management, as well as documented opioid misuse among dental patients, the dental visit may provide a viable point of intervention to screen, identify, and educate patients regarding the risks associated with prescription opioid misuse and diversion. The aims of this statewide survey of dental practitioners were to assess (a) awareness of the scope of prescription opioid misuse and diversion; (b) current opioid prescribing practices; (c) use of and opinions regarding risk mitigation strategies; and (d) use and perceived utility of drug monitoring programs.

METHODS

This cross-sectional study surveyed dentists (N = 87) participating in statewide professional and alumni organizations. Dentists were invited via e-mail and listserv announcement to participate in a one-time, online, 59-item, self-administered survey.

RESULTS

A majority of respondents reported prescribing opioids (n = 66; 75.8%). A minority of respondents (n = 38; 44%) reported regularly screening for current prescription drug abuse. Dentists reported low rates of requesting prior medical records (n = 5; 5.8%). Only 38% (n = 33) of respondents had ever accessed a prescription drug monitoring program (PDMP), and only 4 (4.7%) consistently used a PDMP. Dentists reporting prior training in drug diversion were significantly more likely to have accessed their PDMP, P < .01. Interest in continuing education regarding assessment of prescription drug abuse/diversion and use of drug monitoring programs was high.

CONCLUSIONS

Although most dentists received training related to prescribing opioids, findings identified a gap in existing dental training in the assessment/identification of prescription opioid misuse and diversion. Findings also identified gaps in the implementation of recommended risk mitigation strategies, including screening for prescription drug abuse, consistent provision of patient education, and use of a PDMP prior to prescribing opioids.

Educating Pharmacists on a Prescription Drug Monitoring Program

OBJECTIVE

To provide education to community pharmacists regarding the registration and use of the Texas prescription drug monitoring program (PDMP) and to assess the impact of the education on pharmacists' perceptions of the PDMP.

METHOD

The study design was a descriptive, pre and post, cross-sectional survey conducted among community pharmacists attending a PDMP education program. The program was designed to present the PDMP as a public health tool available to assist pharmacists with dispensing decisions related to controlled prescription drugs.

RESULTS

Of the 24 pharmacists who completed the survey, 23 were already registered to use the PDMP. However, all 23 felt that the program successfully educated users regarding the PDMP and agreed that other community pharmacists would benefit from the program presented. After the program, 14 participants responded they would very likely use the PDMP in the next 30 days. Recognition of the use of PDMPs as a program for both pharmacists and physicians was increased from 12.5% (pre) to 73.9% (post).

CONCLUSION

Pharmacists found the educational program beneficial and they were very likely to use the PDMP in the future. Perceptions of the Texas PDMP were changed from pre- to post-education program, with recognition that a PDMP can be a beneficial tool for pharmacy practice.

Consumer/patient encounters with prescription drug monitoring programs: evidence from a Medicaid population

BACKGROUND

Prescription drug monitoring programs issue reports about a patient's controlled substance prescription history upon request to physicians, law enforcement officials, and pharmacists. The dual purposes of these programs are to reduce the abuse and diversion of controlled substances while not preventing access to these medications for legitimate medical need.

OBJECTIVE

The purpose of this study was to examine the experiences of Medicaid patients with Kentucky's Prescription Drug Monitoring Program (PDMP).

STUDY DESIGN

A random sample of Medicaid patients was surveyed in 2010; respondents were matched with patient retrospective claims data from 6 months prior to the survey's administration.

SETTING

Kentucky Medicaid patients from across the state.

METHODS

A combination of patient surveys and Medicaid claims data was used to test the relationship between patient characteristics and patient-reported interactions with physicians regarding their PDMP reports and whether they experienced difficulty obtaining or filling a prescription for a controlled substance due to a PDMP report.

RESULTS

Most Medicaid patients are unaffected by the PDMP; however, patients diagnosed with chronic non-cancer pain conditions and patients reporting a Hispanic ethnicity are significantly more likely to have a physician discuss their PDMP report with them. Patients diagnosed with chronic non-cancer pain conditions are also significantly more likely to report difficulty obtaining a prescription for a controlled substance than patients that have not been diagnosed with chronic non-cancer pain conditions. Patients living in rural areas are significantly less likely than patients in urban areas to report difficulty obtaining a prescription for a controlled substance.

LIMITATIONS

The utilization of controlled substance prescriptions by respondents was not measured or monitored. The Medicaid population examined in this study may not be representative of the population as a whole.

CONCLUSIONS

These results suggest that more attention to the consumer/patient perspective is warranted in maintaining a balanced approach to decreasing drug abuse and diversion while not limiting access to controlled substances in cases of legitimate medical need.