Provider perceptions of system-level opioid prescribing and addiction treatment policies

Barriers to opioid use disorder treatment among people who use drugs in the rural United States: A qualitative, multi-site study

BACKGROUND

In 2020, 2.8 million people required substance use disorder (SUD) treatment in nonmetropolitan or 'rural' areas in the U.S. Among this population, only 10% received SUD treatment from a specialty facility, and 1 in 500 received medication for opioid use disorder (MOUD). We explored the context surrounding barriers to SUD treatment in the rural United States.

METHODS

We conducted semi-structured, in-depth interviews from 2018 to 2019 to assess barriers to SUD treatment among people who use drugs (PWUD) across seven rural U.S. study sites. Using the social-ecological model (SEM), we examined individual, interpersonal, organizational, community, and policy factors contributing to perceived barriers to SUD treatment. We employed deductive and inductive coding and analytical approaches to identify themes. We also calculated descriptive statistics for participant characteristics and salient themes.

RESULTS

Among 304 participants (55% male, mean age 36 years), we identified barriers to SUD treatment in rural areas across SEM levels. At the individual/interpersonal level, relevant themes included: fear of withdrawal, the need to "get things in order" before entering treatment, close-knit communities and limited confidentiality, networks and settings that perpetuated drug use, and stigma. Organizational-level barriers included: strict facility rules, treatment programs managed like corrections facilities, lack of gender-specific treatment programs, and concerns about jeopardizing employment. Community-level barriers included: limited availability of treatment in local rural communities, long distances and limited transportation, waitlists, and a lack of information about treatment options. Policy-level themes included insurance challenges and system-imposed barriers such as arrest and incarceration.

CONCLUSION

Our findings highlight multi-level barriers to SUD treatment in rural U.S. communities. Salient barriers included the need to travel long distances to treatment, challenges to confidentiality due to small, close-knit communities where people are highly familiar with one another, and high-threshold treatment program practices. Our findings point to the need to facilitate the elimination of treatment barriers at each level of the SEM in rural America.

Contextual Factors and Adoption of Strategies Related to Opioid Prescribing Practices in Healthcare Settings: Cross-Sectional Study

This study aimed to examine the association between different contextual factors (e.g., facility size, rurality, and perceived needs) and the adoption of a policy or strategy related to opioid prescribing practices in healthcare settings. Cross-sectional survey data was collected from a convenience sample of physicians (N = 68). Logistic regression models were used to examine the effects of contextual factors on the dependent variables. Less than half reported having a policy restricting opioid prescribing practices, and 81% reported having one or more strategies for the safe use of chronic opioid therapy. After adjusting for other contextual factors, small practice size was positively associated with having a policy restricting opioid prescribing practices. This exploratory study provides insights for further investigation of how various contextual factors can influence policy adoption in different healthcare settings and practices to address major public health threats.

Physician perspective on the implementation of risk mitigation strategies when prescribing opioid medications: a qualitative analysis

OBJECTIVE

To understand the physician perspective on the barriers and facilitators of implementing nine different opioid risk mitigation strategies (RMS) when prescribing opioid medications.

METHODS

We created and dispersed a cross-sectional online survey through the Qualtrics© data collection platform among a nationwide sample of physicians licensed to practice medicine in the United States who have prescribed an opioid medication within the past year. The responses were analyzed using a deductive thematic analysis approach based on the Consolidated Framework for Implementation Research (CFIR) to ensure a holistic approach to identifying the barriers and facilitators for each RMS assessed. In concordance with this method, the themes and codes for the thematic analysis were defined prior to the analysis. The five domains within the CFIR were used as themes and the 39 nested constructs were treated as the codes. Two members of the research team independently coded the transcripts and discussed points of disagreement until consensus was reached. All analyses were conducted in ATLAS.ti© V7.

RESULTS

The completion rate for this survey was 85.1% with 273 participant responses eligible for analysis. Intercoder reliability was calculated to be 82%. Deductive thematic analysis yielded 2,077 descriptions of factors affecting implementation of the nine RMS. The most salient code across all RMS was Knowledge and Beliefs about the Intervention, which refers to individuals' attitudes towards and value placed on the intervention. Patient Needs and Resources, a code referring to the extent to which patient needs are known and prioritized by the organization, also emerged as a salient code. The physicians agreed that the patient perspective on the issue is vital to the uptake of each of the RMS.

CONCLUSIONS

This deductive thematic analysis identified key points for actionable intervention across the nine RMS assessed and established the importance of patient concordance with physicians when deciding on a course of treatment.

Variation in opioid filling after same-day breast surgery in Ontario, Canada: a population-based cohort study

BACKGROUND

Postoperative pain management practices in breast surgery are variable, with recent evidence that approaches for minimizing or sparing opioids can be successfully implemented. We describe opioid filling and predictors of higher doses in patients undergoing same-day breast surgery in Ontario, Canada.

METHODS

In this retrospective population-based cohort study, we used linked administrative health data to identify patients aged 18 years or older who underwent same-day breast surgery from 2012 to 2020. We categorized procedure types by increasing invasiveness of surgery: partial, with or without axillary intervention (P ± axilla); total, with or without axillary intervention (T ± axilla); radical, with or without axillary intervention (R ± axilla); and bilateral. The primary outcome was filling an opioid prescription within 7 or fewer days after surgery. Secondary outcomes were total oral morphine equivalents (OMEs) filled (mg, median and interquartile range [IQR]) and filling more than 1 prescription within 7 or fewer days after surgery. We estimated associations (adjusted risk ratios [RRs] and 95% confidence intervals [CIs]) between study variables and outcomes in multivariable models. We used a random intercept for each unique prescriber to account for provider-level clustering.

RESULTS

Of the 84 369 patients who underwent same-day breast surgery, 72% (n = 60 620) filled an opioid prescription. Median OMEs filled increased with invasiveness (P ± axilla = 135 [IQR 90-180] mg; T ± axilla = 135 [IQR 100-200] mg; R ± axilla = 150 [IQR 113-225] mg, bilateral surgery = 150 [IQR 113-225] mg; p < 0.0001). Factors associated with filling more than 1 opioid prescription were age 30-59 years (v. age 18-29 yr), increased invasiveness (RR 1.98, 95% CI 1.70-2.30 bilateral v. P ± axilla), Charlson Comorbidity Index ≥ 2 versus 0-1 (RR 1.50, 95% CI 1.34-1.69) and malignancy (RR 1.39, 95% CI 1.26-1.53).

INTERPRETATION

Most patients undergoing same-day breast surgery fill an opioid prescription within 7 days. Efforts are needed to identify patient groups where opioids may be successfully minimized or eliminated.

Modifying and Evaluating the Opioid Overdose Knowledge Scale for Prescription Opioids: A Pilot Study of the Rx-OOKS

OBJECTIVE

To develop a validated instrument that measures knowledge about prescription opioid overdose.

METHODS

Within an integrated health care system, we adapted, piloted, and tested the reliability and predictive validity of a modified Opioid Overdose Knowledge Scale (OOKS) instrument specific to prescription opioids (Rx-OOKS) with a patient population prescribed long-term opioid therapy and potentially at risk of opioid overdose. We used an interdisciplinary team approach and patient interviews to adapt the instrument. We then piloted the survey on a patient sample and assessed it using Cronbach's alpha and logistic regression.

RESULTS

Rx-OOKS (N = 56) resulted in a three-construct, 25-item instrument. Internal consistency was acceptable for the following constructs: "signs of an overdose" (10 items) at α = 0.851, "action to take with opioid overdose" (seven items) at α = 0.692, and "naloxone use knowledge" (eight items) at α = 0.729. One construct, "risks of an overdose" (three items), had an α of 0.365 and was subsequently eliminated from analysis due to poor performance. We conducted logistic regression to determine if any of the constructs was strongly associated with future naloxone receipt. Higher scores on "actions to take in an overdose" had nine times the odds of receiving naloxone (odds ratio [OR] = 9.00, 95% confidence interval [CI] = 1.42-57.12); higher "naloxone use knowledge" scores were 15.8 times more likely to receive naloxone than those with lower scores (OR = 15.83, 95% CI = 1.68-149.17).

CONCLUSIONS

The Rx-OOKS survey instrument can reliably measure knowledge about prescription opioid overdose recognition and naloxone use. Further, knowledge about actions to take during an opioid overdose and naloxone use were associated with future receipt of naloxone.

A Critical Review of the Social and Behavioral Contributions to the Overdose Epidemic

More than 750,000 people in the United States died from an overdose between 1999 and 2018; two-thirds of those deaths involved an opioid. In this review, we present trends in opioid overdose rates during this period and discuss how the proliferation of opioid prescribing to treat chronic pain, changes in the heroin and illegally manufactured opioid synthetics markets, and social factors, including deindustrialization and concentrated poverty, contributed to the rise of the overdose epidemic. We also examine how current policies implemented to address the overdose epidemic may have contributed to reducing prescription opioid overdoses but increased overdoses involving illegal opioids. Finally, we identify new directions for research to understand the causes and solutions to this critical public health problem, including research on heterogeneous policy effects across social groups, effective approaches to reduce overdoses of illegal opioids, and the role of social contexts in shaping policy implementation and impact.

The Public Health Value of Opioid Litigation

Opioid litigation continues a growing public health litigation trend in which governments seek to hold companies responsible for population harms related to their products. The litigation can serve to address gaps in regulatory and legislative policymaking and in market self-regulation pervasive in the prescription opioid domain. Moreover, prior opioid settlements have satisfied civil tort litigation objectives of obtaining compensation for injured parties, deterring harmful behavior, and holding certain opioid manufacturers, distributors and pharmacies accountable for their actions. In this way, opioid litigation represents progress over prior public health litigation campaigns involving tobacco, lead paint, and asbestos, which had more limited tort litigation effects. Although opioid litigation is not a comprehensive solution to the opioid crisis, it can complement other strategies and infuse much needed money, behavior changes, and public accountability for prescription opioid and related harms.

The Association of State Opioid Misuse Prevention Policies With Patient- and Provider-Related Outcomes: A Scoping Review

Policy Points This scoping review reveals a growing literature on the effects of certain state opioid misuse prevention policies, but persistent gaps in evidence on other prevalent state policies remain. Policymakers interested in reducing the volume and dosage of opioids prescribed and dispensed can consider adopting robust prescription drug monitoring programs with mandatory access provisions and drug supply management policies, such as prior authorization policies for high-risk prescription opioids. Further research should concentrate on potential unintended consequences of opioid misuse prevention policies, differential policy effects across populations, interventions that have not received sufficient evaluation (eg, Good Samaritan laws, naloxone access laws), and patient-related outcomes.

CONTEXT

In the midst of an opioid crisis in the United States, an influx of state opioid misuse prevention policies has provided new opportunities to generate evidence of policy effectiveness that can inform policy decisions. We conducted a scoping review to synthesize the available evidence on the effectiveness of US state interventions to improve patient and provider outcomes related to opioid misuse and addiction.

METHODS

We searched six online databases to identify evaluations of state opioid policies. Eligible studies examined legislative and administrative policy interventions that evaluated (a) prescribing and dispensing, (b) patient behavior, or (c) patient health.

FINDINGS

Seventy-one articles met our inclusion criteria, including 41 studies published between 2016 and 2018. These articles evaluated nine types of state policies targeting opioid misuse. While prescription drug monitoring programs (PDMPs) have received considerable attention in the literature, far fewer studies addressed other types of state policy. Overall, evidence quality is very low for the majority of policies due to a small number of evaluations. Of interventions that have been the subject of considerable research, promising means of reducing the volume and dosages of opioids prescribed and dispensed include drug supply management policies and robust PDMPs. Due to low study number and quality, evidence is insufficient to draw conclusions regarding interventions targeting patient behavior and health outcomes, including naloxone access laws and Good Samaritan laws.

CONCLUSIONS

Recent research has improved the evidence base on several state interventions targeting opioid misuse. Specifically, moderate evidence suggests that drug supply management policies and robust PDMPs reduce opioid prescribing. Despite the increase in rigorous evaluations, evidence remains limited for the majority of policies, particularly those targeting patient health-related outcomes.