Leveraging prescription monitoring program data to evaluate the implementation of buprenorphine telehealth flexibilities: An interrupted time series analysis in Texas

Background

In March 2020, policy changes by the Substance Abuse and Mental Health Services Administration and the Drug Enforcement Administration aimed to maintain access to office-based opioid treatment services by easing telehealth buprenorphine prescribing restrictions. However, the effectiveness of these changes remains largely unmeasured. The objective of this study was to measure the effectiveness of COVID-19-related telehealth flexibilities in an all-payer cohort from the Texas Prescription Monitoring Program.

Methods

Using Texas Prescription Monitoring Program data, we identified oral buprenorphine and buprenorphine/naloxone prescriptions dispensed in Texas between September 1, 2019, and September 26, 2020. Weekly counts of prescriptions, prescribing physicians, and dispensing pharmacies were analyzed. An autoregressive integrated moving average (ARIMA) model estimated changes in prescription volume between pre-implementation (September 1, 2019 - February 15, 2020) and post-implementation (April 12, 2020 - September 26, 2020) periods.

Results

Pre-flexibility, an average of 8898 (SD: 342) buprenorphine prescriptions were dispensed to 7829 (SD: 326) patients weekly. This declined to 8360 (SD: 247) prescriptions and 7661 (SD: 229) patients post-flexibility. Adjusted for seasonality, this represented a statistically significant average decline of -257.27 (95% CI: -426.06, -88.49) patients and -647.01 (95% CI: -856.67, -437.36) prescriptions per week.

Discussion

Our results suggest a modest decline in buprenorphine dispensing volume early in the COVID-19 pandemic. While difficult to assess its significance, it can be assumed that telehealth flexibilities mitigated a potentially larger decline. Future research should explore system and individual-level barriers to telehealth utilization.

Impact of unsolicited reporting notifications on providers' prescribing behavior: An experimental study on Maryland PDMP data

BACKGROUND

Unsolicited Reporting Notifications(URNs) have been a component of Maryland's Prescription Drug Monitoring Program (PDMP) since 2016. We evaluated the effect of URNs on providers' prescription behaviors.

METHODS

This is a quasi-experimental study of providers who were issued at least one URN from January 2018 to April 2021. Providers for whom URNs were not successfully delivered were designated as a comparison group. The outcome variables were average daily opioid and benzodiazepine prescriptions, average morphine milligram equivalents per patient, and proportion of overlapping opioid and benzodiazepine, either with or without muscle relaxant prescriptions. Changes were compared before versus after the issuance of a URN among the intervention and comparison groups using "Generalized Estimation Equation" and "Generalized Linear" Models. We also conducted stratified analyses by types of URN, including notifications for multiple provider episodes (MPE), overdose fatality (ODF), and dangerous drug combinations (DDC).

RESULTS

The average daily number of opioids prescriptions (3.3% decrease in the intervention group vs 22.7% increase in the comparison group, P<0.001), co-prescription of opioids and benzodiazepines either with muscle relaxants (68.0% decrease vs. 36.1% decrease, P<0.001), or without muscle relaxants (6.0% decrease vs. 16.3% increase, P<0.001), significantly reduced after the first URN regardless of the type of URN. Stratified analysis by types of URNs showed that ODF and DDC URNs had a significant effect on most of the outcomes of interest.

CONCLUSION

The findings suggest that unsolicited reporting, especially particular types of URNs including ODF and DDC, is associated with subsequent changes in unsafe prescribing behaviors.

[Use of antibiotics in Paediatric Primary Health Care before and during the COVID-19 pandemic]

Introduction Consumption of antibiotics is high in Spain, primarily in children. Excessive use of then contributes to the development of antimicrobial resistance. The aim of our study is to analyse the evolution of antibiotic consumption at the Primary Health Care in the paediatric population of Asturias, Spain, from 2014 to 2021, and to evaluate the impact of COVID-19 pandemic on it.Methods Retrospective and observational study using data about antibacterial agents for systemic use dispensed for official prescriptions to children under 14 years in Primary Care. Antibiotic consumption is expressed as defined daily dose (DDD) per 1000 inhabitants per day (DID).Results The antibiotic consumption rate dropped from 13.9 DID in 2014 to 4.0 in 2021 (β = -1,42, p=0,002), with and inflection point in 2019. From 2019 to 2020 antibiotic use dropped by 47.1%. Antibiotic consumption remained very low from April 2020 to September 2021, and then moderately increased from October 2021. Prevalence of antibiotic use dropped from 39.9% in 2014 to 17.5% in 2021 (β = -3,64, p=0,006). Relative consumption of amoxicillin/clavulanic acid decreased, while those of amoxiciline and third-generation cephalosporins increased.Conclusions Paediatric antibiotic consumption collapsed in Asturias in 2020, coinciding with COVID-19 pandemic. Monitoring of antimicrobial usage indicators will allow to check if these changes are sustained over time.

[Antibiotic consumption in primary care in the adult population of Asturias during 2014-2020 period]

Objetivo

Estudiar la evolución del consumo de antibióticos en población adulta en el ámbito de Atención Primaria (AP) del Servicio de Salud del Principado de Asturias (SESPA) durante 2014-2020.

Diseño

Estudio observacional retrospectivo.

Emplazamiento

AP del SESPA.

Participantes

Población de la base de datos de Tarjeta Sanitaria Individual.

Intervenciones

Se recogieron datos de prescripción de antibióticos, realizada en las consultas de medicina de familia, dispensados en las oficinas de farmacia con cargo al SESPA. Se analizaron variables de uso y consumo de antibióticos mediante modelos de regresión lineal.

Mediciones principales

Prevalencia de uso de antibióticos (porcentaje población); tasa de consumo de antibióticos de uso sistémico (DTD), consumo relativo de antibióticos de espectro reducido (porcentaje DDD).

Resultados

La prevalencia media del uso de antibióticos del periodo 2014-2019 fue de 32,2% y 23,9% en 2020. La tasa de consumo de antibióticos de uso sistémico pasó de 21,4 DTD en 2014 a 12,7 DTD en 2020. El consumo de antibióticos de espectro reducido se mantuvo estable (19,4% DDD en 2014 y 19,3% DDD en 2020) (IC95: -0,10, 0,26). En el periodo de marzo a diciembre de 2020, el consumo de antibióticos se redujo un 28,6% respecto al mismo periodo de 2019.

Conclusiones

En 2014-2020 el consumo de antibióticos disminuyó, especialmente a partir de la pandemia por COVID-19, con estabilización del consumo de antibióticos de espectro reducido respecto al total. Existe variabilidad en el consumo por subgrupos terapéuticos.

Health Care Provider Utilization of Prescription Monitoring Programs: A Systematic Review and Meta-Analysis

OBJECTIVE

To synthesize the literature on the proportion of health care providers who access and use prescription monitoring program data in their practice, as well as associated barriers to the use of such data.

DESIGN

We performed a systematic review using a standard systematic review method with meta-analysis and qualitative meta-summary. We included full-published peer-reviewed reports of study data, as well as theses and dissertations.

METHODS

We identified relevant quantitative and qualitative studies. We synthesized outcomes related to prescription monitoring program data use (i.e., ever used, frequency of use). We pooled the proportion of health care providers who had ever used prescription monitoring program data by using random effects models, and we used meta-summary methodology to identify prescription monitoring program use barriers.

RESULTS

Fifty-three studies were included in our review, all from the United States. Of these, 46 reported on prescription monitoring program use and 32 reported on barriers. The pooled proportion of health care providers who had ever used prescription monitoring program data was 0.57 (95% confidence interval: 0.48-0.66). Common barriers to prescription monitoring program data use included time constraints and administrative burdens, low perceived value of prescription monitoring program data, and problems with prescription monitoring program system usability.

CONCLUSIONS

Our study found that health care providers underutilize prescription monitoring program data and that many barriers exist to prescription monitoring program data use.

Clinical Decision Support Systems for Opioid Prescribing for Chronic Non-Cancer Pain in Primary Care: A Scoping Review

BACKGROUND AND OBJECTIVES

Clinical decision support systems (CDSSs) may help clinicians prescribe opioids for chronic noncancer pain (CNCP) more appropriately. This scoping review determined the extent and range of the current evidence on CDSSs for opioid prescribing for CNCP in primary care, and whether investigators followed best evidence and current guidance in designing, implementing and evaluating these complex interventions.

METHODS

We searched 9 electronic databases and other data sources for studies from January 1, 2008 to October 11, 2019. Two reviewers independently screened the citations. One reviewer extracted data and a second verified for accuracy.

INCLUSION CRITERIA

study of a CDSS for opioid prescribing for CNCP in a primary care clinical setting. We reported quantitative results in tables and qualitative results in narrative form.

RESULTS

Our search yielded 5068 records, of which 14 studies met our inclusion criteria. All studies were conducted in the United States. Six studies examined local (eg, health center) CDSSs and 8 examined prescription drug monitoring program CDSSs. Three CDSSs incorporated evidence-based components. Study aims were heterogeneous and study designs included both quantitative and qualitative methodologies. No studies assessed patient health outcomes. Few studies appeared to be following guidance for evaluating complex interventions.

CONCLUSIONS

Few studies have rigorously assessed the use of CDSSs for opioid prescribing for CNCP in primary care settings. Going forward, investigators should include evidence-based components into the design of CDSSs and follow guidance for the development and evaluation of complex interventions.

Differences between pharmacists' perception of counseling and practice in the era of prescription drug misuse

Objective

This study was conducted to assess pharmacists' practices when counseling patients on their prescription medications, and their preferences for training.

Methods

Five focus group discussions of community pharmacists (n=45, with seven to eleven participants in each group) were conducted in a major metropolitan city in the southern United States. Participants were recruited via email using a list of community pharmacists provided by the Texas State Board of Pharmacy. All focus group discussions were structured using a moderator guide consisting of both discrete and open-ended questions. Qualitative analysis software was used to analyze the data with a thematic analysis approach.

Results

The participants in this study had a high self-efficacy regarding their ability to counsel on both new and opioid prescriptions. Many pharmacists experienced the same barriers to counseling and agreed on the components of counseling. However, the themes that emerged showed that the participants exhibited only a partial understanding of the components of counseling. The themes that emerged in the thematic analysis were perceived confidence and discordant counseling practices, inadequate infrastructure, lack of comprehensive counseling, inconsistent use of the Prescription Drug Monitoring Program (PDMP), and pharmacists' desired training/assistance.

Conclusions

Community pharmacists are in a unique position to help combat the opioid crisis; however, there has been very little research on the pharmacist-patient interaction in this context. With policy changes, such as the PDMP mandate, going into effect across the country, it is important to capitalize on the potential community pharmacists have in ameliorating the opioid crisis in the United States.

Assessing The Impact Of State Policies For Prescription Drug Monitoring Programs On High-Risk Opioid Prescriptions

Policies and practices have proliferated to optimize prescribers' use of their states' prescription drug monitoring programs, which are statewide databases of controlled substances dispensed at retail pharmacies. Our study assessed the effectiveness of three such policies: comprehensive legislative mandates to use the program, laws that allow prescribers to delegate its use to office staff, and state participation in interstate data sharing. Our analysis of information from a large commercial insurance database indicated that comprehensive use mandates implemented during 2011-15 were associated with a 6-9 percent reduction in opioid prescriptions with high risk for misuse and overdose. We also found delegate laws to be associated with reductions of a similar magnitude for selected outcomes. In general, the effects of all three policies strengthened over time, especially beginning in the second year after implementation. Our findings support comprehensive use mandates and delegate laws to optimize prescribers' use of drug monitoring programs, but the results will need updates in the context of evolving state opioid policies-including the increasing integration of drug monitoring data with electronic health records.

States With Prescription Drug Monitoring Mandates Saw A Reduction In Opioids Prescribed To Medicaid Enrollees

Prescription drug monitoring programs are promising tools to use in addressing the prescription opioid epidemic, yet prescribers' participation in these state-run programs remained low as of 2014. Statutory mandates for prescribers to register with their state's program, use it, or both are believed to be effective tools to realize the programs' full potential. Our analysis of aggregate Medicaid drug utilization data indicates that state mandates for prescriber registration or use adopted in 2011-14 were associated with a reduction of 9-10 percent in population-adjusted numbers of Schedule II opioid prescriptions received by Medicaid enrollees and amounts of Medicaid spending on these prescriptions. This effect was largely associated with mandates of registration, which were comprehensive in all adopting states, and not with mandates of use, which were largely limited in scope or strength before 2015. Our findings support the use of mandates of registration in prescription drug monitoring programs as an effective and relatively low-cost policy. Future research should further assess the value of strong mandates of use to ensure safer and more appropriate prescribing of opioids.

Prescription Drug Monitoring Programs Are Associated With Sustained Reductions In Opioid Prescribing By Physicians

State prescription drug monitoring programs are promising tools to rein in the epidemic of prescription opioid overdose. We used data from a national survey to assess the effects of these programs on the prescribing of opioid analgesics and other pain medications in ambulatory care settings at the point of care in twenty-four states from 2001 to 2010. We found that the implementation of a prescription drug monitoring program was associated with more than a 30 percent reduction in the rate of prescribing of Schedule II opioids. This reduction was seen immediately following the launch of the program and was maintained in the second and third years afterward. Effects on overall opioid prescribing and prescribing of non-opioid analgesics were limited. Increased use of these programs and the adoption of new policies and practices governing their use may have contributed to sustained effectiveness. Future studies are needed to evaluate the policies' comparative effectiveness.

Physician attitudes and experiences with Maryland's prescription drug monitoring program (PDMP)

AIMS

Physicians' use of prescription drug monitoring programs (PDMPs) varies by state. Among Maryland physicians, we sought to (1) estimate the PDMP impact on changes in opioid prescribing, (2) approximate the scope of PDMP utility and (3) determine the barriers to PDMP use after its 2013 implementation.

DESIGN

Cross-sectional postal survey linking responses to state records of PDMP registration and use, randomly sampling physicians within specialty and registration strata.

SETTING

Maryland, USA.

PARTICIPANTS

A total of 1000 surveyed primary care, pain and emergency medicine physicians stratified into three subpopulations: PDMP non-registrants, PDMP registrants who were non-users and PDMP users; 405 respondents (44%) of 916 eligible physicians were analysed.

MEASUREMENTS

Primary outcome measure was PDMP use. Key predictors were clinic characteristics, including type of practice and number of patients prescribed opioids.

FINDINGS

No response-wave bias was identified. Seventy per cent of physicians believed PDMP access decreased their amount and increased their comfort level in prescribing opioids. Three-fourths (74%) of PDMP users reported the data very useful for informing opioid prescribing, although one-fifth (20%) reported difficulty accessing the data. Commonly reported barriers to PDMP use were lack of knowledge regarding its existence and registration process. In multivariable analysis after adjusting for key clinic characteristics, practicing at a managed care organization was associated with lower PDMP use [incidence rate ratio (IRR) = 0.19, 95% confidence interval (CI) = 0.05-0.73]. Conversely, physicians who prescribed opioids for more than 50 patients accessed the PDMP three times as often as those prescribing opioids for fewer than 10 patients monthly (IRR = 3.00, 95 % CI = 1.07-8.43).

CONCLUSIONS

In this survey of Maryland, USA physicians, most participants reported that prescription drug monitoring programs (PDMPs) improved their opioid prescribing by decreasing prescription amounts and increasing comfort with prescribing opioids. Common barriers to PDMP use included not knowing about the program, registration difficulties and data access difficulties.