Engaging community pharmacies in practice-based research: Lessons from opioid-focused research

There is an established need to translate evidence-based practices into real-world practice. Community pharmacists and their corresponding pharmacies are well-positioned to be effective partners as researchers seek to study and implement practice-based research. Challenges exist when partnering with community pharmacies which can vary based on the study type, the nature of the community pharmacy, and stakeholder groups (i.e., patients, staff, leadership, physicians). This commentary seeks to describe these challenges and provide recommendations that can help mitigate and/or overcome these challenges. Recommendations are provided for team structure, communication, research tools/technology, motivational factors, workflow, and sustainability. These recommendations are based on the authors' experience in partnering with community pharmacy for opioid-related research in a variety of study types, states, and pharmacy environments.

Implementing a pharmacist-integrated collaborative model of medication treatment for opioid use disorder in primary care: study design and methodological considerations

BACKGROUND

Pharmacists remain an underutilized resource in the treatment of opioid use disorder (OUD). Although studies have engaged pharmacists in dispensing medications for OUD (MOUD), few studies have evaluated collaborative care models in which pharmacists are an active, integrated part of a primary care team offering OUD care.

METHODS

This study seeks to implement a pharmacist integrated MOUD clinical model (called PrIMO) and evaluate its feasibility, acceptability, and impact across four diverse primary care sites. The Consolidated Framework for Implementation Research is used as an organizing framework for study development and interpretation of findings. Implementation Facilitation is used to support PrIMO adoption. We assess the primary outcome, the feasibility of implementing PrIMO, using the Stages of Implementation Completion (SIC). We evaluate the acceptability and impact of the PrIMO model at the sites using mixed-methods and combine survey and interview data from providers, pharmacists, pharmacy technicians, administrators, and patients receiving MOUD at the primary care sites with patient electronic health record data. We hypothesize that it is feasible to launch delivery of the PrIMO model (reach SIC Stage 6), and that it is acceptable, will positively impact patient outcomes 1 year post model launch (e.g., increased MOUD treatment retention, medication regimen adherence, service utilization for co-morbid conditions, and decreased substance use), and will increase each site's capacity to care for patients with MOUD (e.g., increased number of patients, number of prescribers, and rate of patients per prescriber).

DISCUSSION

This study will provide data on a pharmacist-integrated collaborative model of care for the treatment of OUD that may be feasible, acceptable to both site staff and patients and may favorably impact patients' access to MOUD and treatment outcomes.

TRIAL REGISTRATION

The study was registered on Clinicaltrials.gov (NCT05310786) on April 5, 2022, https://www.

CLINICALTRIALS

gov/study/NCT05310786?id=NCT05310786&rank=1.

Patient navigation for pregnant individuals with opioid use disorder: Results of a randomized multi-site pilot trial

BACKGROUND AND AIMS

Patient navigation (PN) may benefit pregnant individuals with opioid use disorder (OUD) by improving treatment adherence. We examined participant enrollment, session delivery and assessment feasibility for a PN intervention among pregnant participants and compared PN preliminary effectiveness for OUD treatment engagement with participants in usual care (UC).

DESIGN

This study was a pilot single-blinded multi-site randomized trial.

SETTING

Two academic medical centers in Pennsylvania (n = 57) and Utah (n = 45), United States participated.

PARTICIPANTS

One hundred and two pregnant adult participants unestablished (fewer than 6 weeks) on medication for OUD (MOUD) were randomized to PN (n = 53) or UC (n = 49).

INTERVENTION

PN was composed of 10 prenatal sessions (delivered after baseline but before the prenatal assessments) and four postnatal sessions (delivered before the 2- and 6-month postpartum assessments) focused upon OUD treatment and physical/mental health needs. UC involved brief case management.

MEASUREMENTS

Feasibility assessments included consent, session delivery and assessment rates. Mixed-effect models for intent-to-treat (ITT) and per protocol (PP, received six or more sessions) populations were estimated to compare outcomes of MOUD use, secondary outcomes of substance use disorder (SUD) treatment attendance and non-prescribed opioid use, and exploratory outcome of overdose at baseline, predelivery and 2 and 6 months postpartum.

FINDINGS

We consented 87% (106 of 122) of the proposed target, delivered ~60% of sessions delivered and completed ≥ 75% assessments. PN ITT and PP had better MOUD adherence, SUD treatment attendance, non-prescribed opioid use and overdose outcomes than UC. Notable changes included good evidence for greater percentage change in days for PN PP MOUD use from baseline to 2 months postpartum [PN = 28.0 versus UC = -10.9, 95% confidence interval (CI) = 9.7, 62.1] and some evidence for baseline to 6 months postpartum (PN = 45.4 versus UC = 23.4, 95% CI = -0.7, 48.2). PN PP percentage change in days for SUD treatment attendance also showed good evidence for improvements from baseline to prenatal assessment (PN = 7.4 versus UC = -21.3, 95% CI = 3.3, 53.5). PN compared to UC participants reported fewer overdoses at 2 months (PN = 11.9%/UC = 16.1%) and at 6 months postpartum (PN = 3.8%/UC = 6.2%).

CONCLUSIONS

Patient navigation appears to be associated with improvements in opioid use disorder treatment engagement and overdoses during pregnancy. This pilot trial shows the feasibility of the intervention and a future large-scale trial.

Patient reported goals for medications for opioid use disorder: A theory of proximal goal attainment

Background

There exist substantial patient barriers to accessing medications for opioid use disorder (MOUD), including travel distance, stigma, and availability of MOUD providers. Yet, despite these barriers, there exists a subset of patients who possess the requisite motivation to seek and remain adherent to treatment.

Objective

To explore patient-derived goals in MOUD treatment-adherent patients.

Methods

This study used in-depth interviews with patients receiving methadone who were enrolled in opioid treatment programs (OTPs) across Tennessee. Participants were recruited from 12 different OTPs to participate in telephonic semi-structured interviews to a point of saturation. Participants had to be adherent to treatment, in treatment for 6 months or greater, and English speaking. Analysis occurred inductively using a constructivist approach to Grounded Theory.

Results

In total, 17 patient interviews were conducted in the spring of 2021. Participants described goal setting across three general stages of treatment: (1) addressing acute physical and emotional needs upon treatment entry, (2) development of supportive structure and routine to develop healthy skills facilitated by treatment team, and (3) identifying and pursuing future-focused goals not directly linked to treatment. A Proximal Goals in MOUD Framework is introduced.

Conclusion

In this qualitative study on patient reported goals in MOUD it was found that goals are transitory and relative to the stage of treatment. Further research is needed to better understand goal evolution over the course of treatment and its impact on treatment retention.

Research Priorities for Expansion of Opioid Use Disorder Treatment in the Community Pharmacy

In the last decade, the U.S. opioid overdose crisis has magnified, particularly since the introduction of synthetic opioids, including fentanyl. Despite the benefits of medications for opioid use disorder (MOUD), only about a fifth of people with opioid use disorder (OUD) in the U.S. receive MOUD. The ubiquity of pharmacists, along with their extensive education and training, represents great potential for expansion of MOUD services, particularly in community pharmacies. The National Institute on Drug Abuse's National Drug Abuse Treatment Clinical Trials Network (NIDA CTN) convened a working group to develop a research agenda to expand OUD treatment in the community pharmacy sector to support improved access to MOUD and patient outcomes. Identified settings for research include independent and chain pharmacies and co-located pharmacies within primary care settings. Specific topics for research included adaptation of pharmacy infrastructure for clinical service provision, strategies for interprofessional collaboration including health service models, drug policy and regulation, pharmacist education about OUD and OUD treatment, including didactic, experiential, and interprofessional curricula, and educational interventions to reduce stigma towards this patient population. Together, expanding these research areas can bring effective MOUD to where it is most needed.

Mapping prescription drug monitoring program data to self-report measures of non-medical prescription opioid use in community pharmacy settings

BACKGROUND

Community pharmacists are well-positioned to identify patients engaged in non-medical prescription opioid use (NMPOU) through Prescription Drug Monitoring Program (PDMP) databases. Integrating patient-reported outcomes with PDMP data may improve the interpretability of PDMP information to support clinical decision-making.

OBJECTIVE

This study linked patient-reported clinical measures of substance use with PDMP data to examine relationships between average daily opioid dose in morphine milligram equivalents (MME) and visits to multiple pharmacies/prescribers with self-reported NMPOU.

METHODS

Data from a cross-sectional health assessment given to patients aged ≥18 years filling opioid prescriptions were linked to PDMP records. NMPOU in the past three months was assessed on a continuous scale (range 0-39) using an adapted version of the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). PDMP measures included average daily MME and number of distinct pharmacies/prescribers visited in the past 180 days. Univariable and multivariable zero-inflated negative binomial models estimated associations between PDMP measures and any NMPOU and severity of use.

RESULTS

The sample included 1421 participants. In multivariable models adjusted for sociodemographic, mental health, and physical health characteristics, any NMPOU was associated with higher average daily MME (adjusted OR = 1.22, 95% CI = 1.05-1.39) and number of distinct prescribers visited (adjusted OR = 1.15, 95% CI = 1.01-1.30). Higher average daily MME (adjusted mean ratio (MR) = 1.12, 95% CI = 1.08-1.15), number of distinct pharmacies visited (adjusted MR = 1.11, 95% CI = 1.04-1.18), and number of distinct prescribers visited (adjusted MR = 1.07, 95% CI = 1.02-1.11) were associated with increased NMPOU severity.

CONCLUSIONS

We observed significant, positive associations between average daily MME and visits to multiple pharmacies/prescribers with any NMPOU and severity of use. This study demonstrates self-report clinical measures of substance use can be cross-walked to PDMP data and translated into clinically interpretable information.

Co-use of Opioid Medications and Alcohol Prevention Study (COAPS)

While there is limited research in the field regarding the various dimensions of co-use of alcohol and opioid medication, particularly related to co-use and levels of severity, our research has shown 20% to 30% of community pharmacy patients receiving opioid pain medications are engaged in co-use. Co-use of alcohol and opioid medications is a significant risk factor for opioid-related overdose. Community pharmacy is a valuable yet underutilized resource and setting for addressing the US opioid epidemic, with an untapped potential for identification of and intervention for risks associated with co-use of alcohol and opioids. This commentary describing the "Co-use of Opioid Medications and Alcohol Prevention Study (COAPS)" offers an innovative and promising approach to mitigating serious risks associated with co-use of alcohol (risk and non-risk use) and opioids in community pharmacy. COAPS aim 1involves adapting an existing opioid misuse intervention to target co-use of alcohol and opioid mediations. COAPS aim 2 involves testing the adapted intervention within a small-scale pilot randomized controlled trial (N = 40) to examine feasibility, acceptability and preliminary efficacy of the intervention versus standard care. COAPS aim 3 involves conducting key informant interviews related to future implementation of larger scale studies or service delivery in community pharmacy settings.

Cluster analysis to identify patient profiles and substance use patterns among pregnant persons with opioid use disorder

The study objective was to identify distinct profiles of pregnant persons with opioid use disorder (PP-OUD) using cluster analysis and examine difference in substance use patterns between profiles. We examined data from 104 PP-OUD ≤ 32 weeks of gestation who were recruited into a behavioral health clinical trial at two academic medical centers. We used Partitioning Around Medoids analysis to identify clusters and explored patterns of substance use and substance use treatment between clusters using bivariate statistical tests and regression methods. We identified two distinct clusters of participants, including 'Group A' (n = 68; 65.4 %) and 'Group B' (n = 36; 34.6 %). Group A had fewer members who were not employed (38 % vs 58 %) and incarcerated (3 % vs 8 %) compared to Group B. Group A compared with Group B included more members with: a history of overdose (72 % vs 50 %); anxiety (85 % vs 25 %); ≥moderate pain (76 % vs 22 %); ≥moderate depression (75 % vs 36 %); ≥moderate drug use severity (94 % vs 78 %); and, more days of cannabis (mean: 6.2 vs 2.3 days), stimulant (mean: 4.5 vs 1.3 days), and injection heroin (mean: 1.3 vs 0 days) use in the past 30 days (P < 0.05 for all comparisons). Clusters of PP-OUD differed with respect to sociodemographic characteristics, mental health conditions, and substance use patterns. More research is needed to confirm identified profiles and assess treatment outcomes associated with cluster membership.

Nonfatal Overdoses Among Pregnant Individuals With Opioid Use Disorder

Little is understood about overdose history among pregnant individuals with opioid use disorder (OUD). We performed a cross-sectional secondary analysis of data from the OPTI-Mom 2.0 (Optimizing Pregnancy and Treatment Interventions for Moms 2.0) study (NCT03833245), a multi-site randomized controlled trial of patient navigation and usual care. We summarized participant demographics, overdose history, and substances involved in most recent overdose. Of the 102 participants with severe OUD included, 64.7% (95% CI 54.8-73.4%) had a reported a history of an overdose event and 41.2% (95% CI 31-52%) reported at least one overdose within the past year. In the most recent overdose, 81.8% (95% CI 70.4-89.5%) reported using opioids and 30.3% (95% CI 20.3-42.6%) reported using sedatives. These findings suggest need for heightened awareness of overdose-reduction and harm-reduction strategies in this population.

Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study

Background

While medications for opioid use disorder (MOUD) effectively treat OUD during pregnancy and the postpartum period, poor treatment retention is common. Digital phenotyping, or passive sensing data captured from personal mobile devices, namely smartphones, provides an opportunity to understand behaviors, psychological states, and social influences contributing to perinatal MOUD non-retention. Given this novel area of investigation, we conducted a qualitative study to determine the acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder (PPP-OUD).

Methods

This study was guided by the Theoretical Framework of Acceptability (TFA). Within a clinical trial testing a behavioral health intervention for PPP-OUD, we used purposeful criterion sampling to recruit 11 participants who delivered a child in the past 12  months and received OUD treatment during pregnancy or the postpartum period. Data were collected through phone interviews using a structured interview guide based on four TFA constructs (affective attitude, burden, ethicality, self-efficacy). We used framework analysis to code, chart, and identify key patterns within the data.

Results

Participants generally expressed positive attitudes about digital phenotyping and high self-efficacy and low anticipated burden to participate in studies that collect smartphone-based passive sensing data. Nonetheless, concerns were noted related to data privacy/security and sharing location information. Differences in participant assessments of burden were related to length of time required and level of remuneration to participate in a study. Interviewees voiced broad support for participating in a digital phenotyping study with known/trusted individuals but expressed concerns about third-party data sharing and government monitoring.

Conclusion

Digital phenotyping methods were acceptable to PPP-OUD. Enhancements in acceptability include allowing participants to maintain control over which data are shared, limiting frequency of research contacts, aligning compensation with participant burden, and outlining data privacy/security protections on study materials.

Community-Centered Patient Journey Map in Opioid Use Disorder: A Tool to Address Compassion Fatigue among Community Pharmacists

Community pharmacists have become increasingly exposed to opioid use disorders in recent decades. However, both pharmacist training and traditional practice environments have not been adequate to prepare the pharmacist for both the patient care needs and regulatory barriers of patients experiencing opioid use disorders (OUD). As a result, there is a need to increase pharmacists' awareness of both the overall patient experience as they navigate their OUD and the role of the community pharmacy as a touchpoint within that experience. To this end, a Community-Centered Patient Journey in Drug Addiction Treatment journey map was developed with expert insights, clinical experience, and in-depth interviews (conducted in spring of 2021) with 16 participants enrolled in licensed opioid treatment programs in Tennessee. Patients, policymakers, clinicians, and academic researchers were involved in the map development. Lived experiences of key informants were captured via in-depth interviews. A consensus decision-making approach was used throughout the patient journey map development process. The final patient journey map illustrates a non-linear pathway, describes the central role of the patient's community, and emphasizes three major "pain points" within the system (access, adherence, and affordability). Future research should investigate the impact of such a journey map on pharmacy personnel's knowledge, attitudes, and behaviors.

Patients' Perceptions of Physical Therapists Addressing Opioid Misuse

INTRODUCTION

In the US, rising numbers of patients who misuse illicit or prescribed opioids provides opportunities for physical therapists (PTs) to be engaged in their care. Prior to this engagement, it is necessary to understand the perceptions of patients who access physical therapy services about their PTs playing such a role. This project examined patients' perceptions of PTs addressing opioid misuse.

METHODS

We surveyed patients, newly encountering outpatient physical therapy services in a large University-based healthcare setting, via anonymous, web-based survey. Within the survey, questions were rated on a Likert scale (1 = completely disagree to 7 = completely agree) and we evaluated responses of patients who were prescribed opioids versus those who were not.

RESULTS

Among 839 respondents, the highest mean score was 6.2 (SD = 1.5) for "It is OK for physical therapists to refer their patients with prescription opioid misuse to a specialist to address the opioid misuse." The lowest mean score was 5.6 (SD = 1.9) for "It is OK for physical therapists to ask their patient why they are misusing prescription opioids." Compared to those with no prescription opioid exposure while attending physical therapy, patients with prescription opioid exposure had lower agreement that it was OK for the physical therapist to refer their patients with opioid misuse to a specialist (β = -.33, 95% CI = -0.63 to -0.03).

CONCLUSIONS

Patients attending outpatient physical therapy seem to support PTs addressing opioid misuse and there are differences in support based on whether the patients had exposure to opioids.

The association between advanced orthopedic certification and confidence and engagement in prescription opioid medication misuse management practices: a cross-sectional study

In the United States, attaining the orthopedic certified specialist (OCS) credential or the orthopedic subspecialty credential of Fellow of the American Academy of Orthopedic Manual Physical Therapists (FAAOMPT), may lead to a higher level of orthopedic practice. It is unknown whether attaining these credentials influences physical therapist confidence in and frequency of engagement in prescription opioid medication misuse (POMM) management practices. A national cross-sectional web-based survey of PTs identified whether respondents had an OCS or FAAOMPT credential. Self-report confidence in POMM-related management practices and the frequency of engaging in these practices were assessed. Logistic regression evaluated association between credential status and confidence in, and frequency of, engagement in POMM-related management practices. The analysis included 402 respondents with a mean age of 41.0 (SD = 11.2) and 203 (50.4%) females. There were 91 (22.6%) PTs with a FAAOMPT credential, 143 (35.6%) with an OCS but with no FAAOMPT credential and 168 (41.8%) had neither credential. Compared to those with an OCS credential, FAAOMPTs reported greater confidence in, and greater frequency of engagement in, POMM-related management practices (p< .05). Compared to those without an OCS or FAAOMPT credential and compared to those with an FAAOMPT credential, those with an OCS did not report greater confidence or greater engagement in any POMM-related management practice (p≥ .05). Obtain the FAAOMPT credential may increase PTs' confidence in some POMM-related management practices. Research is needed to determine why FAAOMPTs report greater confidence and engagement in POMM-related management practices.

Pain Severity and Interference and Substance Use Among Community Pharmacy Patients Prescribed Opioids: A Secondary Analysis of the PHARMSCREEN Study

This secondary analysis examined relationships between pain severity and interference and substance use among patients filling opioid prescriptions in Indiana and Ohio community pharmacies (n = 1,461). We likewise sought to explore the moderating role of gender in pain-substance use relations. We used patient-reported data from a cross-sectional health survey linked with controlled substance dispensing data from statewide prescription drug monitoring programs. Multivariable logistic regression estimated associations between pain severity and interference and various indices of risky prescription opioid use and non-opioid substance use. Exploratory analyses examined whether gender moderated associations. Increased pain severity was associated with increased odds of moderate- to high-risk opioid use (OR: 1.23; 95% CI: 1.16-1.31) and opioid-benzodiazepine co-use (OR: 1.20; 95% CI: 1.03-1.40). Increased pain interference was associated with greater odds of receiving opioids from multiple pharmacies or providers (OR: 1.15; 95% CI: 1.01-1.31). Increased pain severity and interference were associated with higher odds of any tobacco use (severity: OR: 1.13; 95% CI: 1.06-1.21; interference: OR: 1.07; 95% CI: 1.01-1.12) and weekly to daily sedative use (severity: OR: 1.13; 95% CI: 1.03-1.25; interference: OR: 1.13; 95% CI: 1.04-1.22). Increased pain severity was associated with decreased odds of any alcohol use (OR: 0.93; 95% CI: 0.88-0.99). Gender was a significant effect modifier in associations between pain and alcohol, tobacco, and cannabis use. The study was registered in the database of clinicaltrials.gov (register number NCT03936985). Perspective: This study suggests that pain severity and interference are associated with increased use of non-medical prescription opioids, sedatives, and tobacco and decreased use of alcohol, in ways that are different between women and men. Findings may guide the development of gender-sensitive evidence-based strategies to ameliorate or prevent substance misuse among patients living with pain.

Changes in predicted opioid overdose risk over time in a state Medicaid program: a group-based trajectory modeling analysis

BACKGROUND AND AIMS

The time lag encountered when accessing health-care data is one major barrier to implementing opioid overdose prediction measures in practice. Little is known regarding how one's opioid overdose risk changes over time. We aimed to identify longitudinal patterns of individual predicted overdose risks among Medicaid beneficiaries after initiation of opioid prescriptions.

DESIGN, SETTING AND PARTICIPANTS

A retrospective cohort study in Pennsylvania, USA among Pennsylvania Medicaid beneficiaries aged 18-64 years who initiated opioid prescriptions between July 2017 and September 2018 (318 585 eligible beneficiaries (mean age = 39 ± 12 years, female = 65.7%, White = 62.2% and Black = 24.9%).

MEASUREMENTS

We first applied a previously developed and validated machine-learning algorithm to obtain risk scores for opioid overdose emergency room or hospital visits in 3-month intervals for each beneficiary who initiated opioid therapy, until disenrollment from Medicaid, death or the end of observation (December 2018). We performed group-based trajectory modeling to identify trajectories of these predicted overdose risk scores over time.

FINDINGS

Among eligible beneficiaries, 0.61% had one or more occurrences of opioid overdose in a median follow-up of 15 months. We identified five unique opioid overdose risk trajectories: three trajectories (accounting for 92% of the cohort) had consistent overdose risk over time, including consistent low-risk (63%), consistent medium-risk (25%) and consistent high-risk (4%) groups; another two trajectories (accounting for 8%) had overdose risks that substantially changed over time, including a group that transitioned from high- to medium-risk (3%) and another group that increased from medium- to high-risk over time (5%).

CONCLUSIONS

More than 90% of Medicaid beneficiaries in Pennsylvania USA with one or more opioid prescriptions had consistent, predicted opioid overdose risks over 15 months. Applying opioid prediction algorithms developed from historical data may not be a major barrier to implementation in practice for the large majority of individuals.

Umbilical Cord Collection and Drug Testing to Estimate Prenatal Substance Exposure in Utah

OBJECTIVE

Our primary objective was to estimate statewide prenatal substance exposure based on umbilical cord sampling. Our secondary objectives were to compare prevalence of prenatal substance exposure across urban, rural, and frontier regions, and to compare contemporary findings to those previously reported.

METHODS

We performed a cross-sectional prevalence study of prenatal substance exposure, as determined by umbilical cord positivity for 49 drugs and drug metabolites, through the use of qualitative liquid chromatography-tandem mass spectrometry. All labor and delivery units in Utah (N=45) were invited to participate. Based on a 2010 study using similar methodology, we calculated that a sample size of at least 1,600 cords would have 90% power to detect 33% higher rate of umbilical cords testing positive for any substance. Deidentified umbilical cords were collected from consecutive deliveries at participating hospitals. Prevalence of prenatal substance exposure was estimated statewide and by rurality using weighted analysis.

RESULTS

From November 2020 to November 2021, 1,748 cords (urban n=988, rural n=384, frontier n=376) were collected from 37 hospitals, representing 92% of hospitals that conduct 91% of births in the state. More than 99% of cords (n=1,739) yielded results. Statewide, 9.9% (95% CI 8.1-11.7%) were positive for at least one substance, most commonly opioids (7.0%, 95% CI 5.5-8.5%), followed by cannabinoid (11-nor-9-carboxy-delta-9-tetrahydrocannabinol [THC-COOH]) (2.5%, 95% CI 1.6-3.4%), amphetamines (0.9%, 95% CI 0.4-1.5), benzodiazepines (0.5%, 95% CI 0.1-0.9%), alcohol (0.4%, 95% CI 0.1-0.7%), and cocaine (0.1%, 95% CI 0-0.3%). Cord positivity was similar by rurality (urban=10.3%, 95% CI 8.3-12.3%, rural=7.1%, 95% CI 3.5-10.7%, frontier=9.2%, 95% CI 6.2-12.2%, P=.31) and did not differ by substance type. Compared with a previous study, prenatal exposure to any substance (6.8 vs 9.9%, P=.01), opioids (4.7 vs 7.0% vs 4.7%, P=.03), amphetamines (0.1 vs 0.9%, P=.01) and THC-COOH (0.5 vs 2.5%, P<.001) increased.

CONCLUSION

Prenatal substance exposure was detected in nearly 1 in 10 births statewide.

Effect of Different Interventions to Help Primary Care Clinicians Avoid Unsafe Opioid Prescribing in Opioid-Naive Patients With Acute Noncancer Pain: A Cluster Randomized Clinical Trial

Importance

Prescription opioids can treat acute pain in primary care but have potential for unsafe use and progression to prolonged opioid prescribing.

Objective

To compare clinician-facing interventions to prevent unsafe opioid prescribing in opioid-naive primary care patients with acute noncancer pain.

Design Setting and Participants

We conducted a multisite, cluster-randomized, 2 × 2 factorial, clinical trial in 3 health care systems that comprised 48 primary care practices and 525 participating clinicians from September 2018 through January 2021. Patient participants were opioid-naive outpatients, 18 years or older, who presented for a qualifying clinic visit with acute noncancer musculoskeletal pain or nonmigraine headache.

Interventions

Practices randomized to: (1) control; (2) opioid justification; (3) monthly clinician comparison emails; or (4) opioid justification and clinician comparison. All groups received opioid prescribing guidelines via the electronic health record at the time of a new opioid prescription.

Main Outcomes and Measures

Primary outcome measures were receipt of an initial opioid prescription at the qualifying clinic visit. Other outcomes were opioid prescribing for more than 3 months and a concurrent opioid/benzodiazepine prescription over 12-month follow-up.

Results

Among 22 616 enrolled patient participants (9740 women [43.1%]; 64 American Indian/Alaska Native [0.3%]; 590 Asian [2.6%], 1120 Black/African American [5.0%], 1777 Hispanic [7.9%], 225 Native Hawaiian/Pacific Islander [1.0%], and 18 981 White [83.9%] individuals), the initial opioid prescribing rates at the qualifying clinic visit were 3.1% in the total sample, 4.2% in control, 3.6% in opioid justification, 2.6% in clinician comparison, and 1.9% in opioid justification and clinician comparison. Compared with control, the adjusted odds ratio (aOR) for a new opioid prescription was 0.74 (95% CI, 0.46-1.18; P = .20) for opioid justification and 0.60 (95% CI, 0.38-0.96; P = .03) for clinician comparison. Compared with control, clinician comparison was associated with decreased odds of opioid therapy of more than 3 months (aOR, 0.79; 95% CI, 0.69-0.91; P = .001) and concurrent opioid/benzodiazepine prescription (aOR, 0.85; 95% CI, 0.72-1.00; P = .04), whereas opioid justification did not have a significant effect.

Conclusions and Relevance

In this cluster randomized clinical trial, comparison emails decreased the proportion of opioid-naive patients with acute noncancer pain who received an opioid prescription, progressed to treatment with long-term opioid therapy, or were exposed to concurrent opioid and benzodiazepine therapy. Health care systems can consider adding clinician-targeted nudges to other initiatives as an efficient, scalable approach to further decrease potentially unsafe opioid prescribing.

Trial Registration

ClinicalTrials.gov Identifier: NCT03537573.

Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study

BACKGROUND

Little is known about whether machine-learning algorithms developed to predict opioid overdose using earlier years and from a single state will perform as well when applied to other populations. We aimed to develop a machine-learning algorithm to predict 3-month risk of opioid overdose using Pennsylvania Medicaid data and externally validated it in two data sources (ie, later years of Pennsylvania Medicaid data and data from a different state).

METHODS

This prognostic modelling study developed and validated a machine-learning algorithm to predict overdose in Medicaid beneficiaries with one or more opioid prescription in Pennsylvania and Arizona, USA. To predict risk of hospital or emergency department visits for overdose in the subsequent 3 months, we measured 284 potential predictors from pharmaceutical and health-care encounter claims data in 3-month periods, starting 3 months before the first opioid prescription and continuing until loss to follow-up or study end. We developed and internally validated a gradient-boosting machine algorithm to predict overdose using 2013-16 Pennsylvania Medicaid data (n=639 693). We externally validated the model using (1) 2017-18 Pennsylvania Medicaid data (n=318 585) and (2) 2015-17 Arizona Medicaid data (n=391 959). We reported several prediction performance metrics (eg, C-statistic, positive predictive value). Beneficiaries were stratified into risk-score subgroups to support clinical use.

FINDINGS

A total of 8641 (1·35%) 2013-16 Pennsylvania Medicaid beneficiaries, 2705 (0·85%) 2017-18 Pennsylvania Medicaid beneficiaries, and 2410 (0·61%) 2015-17 Arizona beneficiaries had one or more overdose during the study period. C-statistics for the algorithm predicting 3-month overdoses developed from the 2013-16 Pennsylvania training dataset and validated on the 2013-16 Pennsylvania internal validation dataset, 2017-18 Pennsylvania external validation dataset, and 2015-17 Arizona external validation dataset were 0·841 (95% CI 0·835-0·847), 0·828 (0·822-0·834), and 0·817 (0·807-0·826), respectively. In external validation datasets, 71 361 (22·4%) of 318 585 2017-18 Pennsylvania beneficiaries were in high-risk subgroups (positive predictive value of 0·38-4·08%; capturing 73% of overdoses in the subsequent 3 months) and 40 041 (10%) of 391 959 2015-17 Arizona beneficiaries were in high-risk subgroups (positive predictive value of 0·19-1·97%; capturing 55% of overdoses). Lower risk subgroups in both validation datasets had few individuals (≤0·2%) with an overdose.

INTERPRETATION

A machine-learning algorithm predicting opioid overdose derived from Pennsylvania Medicaid data performed well in external validation with more recent Pennsylvania data and with Arizona Medicaid data. The algorithm might be valuable for overdose risk prediction and stratification in Medicaid beneficiaries.

FUNDING

National Institute of Health, National Institute on Drug Abuse, National Institute on Aging.

Risky alcohol use among patients dispensed opioid medications: A clinical community pharmacy study

BACKGROUND

Included among the significant risk factors for opioid overdose is concomitant use of other central nervous system depressants, particularly alcohol. Given the continued expansion of community pharmacy in the continuum of care, it is imperative to characterize alcohol use among pharmacy patients dispensed opioids in order to establish a foundation for identification and intervention in these settings.

METHODS

This secondary analysis utilized data from a one-time, cross-sectional health assessment conducted among patients dispensed opioid medications in 19 community pharmacies in Indiana and Ohio. Adult, English speaking, patients not receiving cancer care who were dispensed opioid medications were asked to self-report alcohol and substance use, behavioral and physical health, and demographic information. Descriptive and logistic regression analyses were employed to characterize alcohol use/risky alcohol use and patient characteristics associated therewith.

RESULTS

The analytical sample included 1494 individuals. Participants were on average 49 years of age (Standard Deviation=14.9)-with 6% being persons of color (n = 89). Weekly drinking was reported by 18.1% (n = 204) and daily drinking was reported by 6.8% (n = 77) of the study sample, with a total of 143 (9.6%) participants reporting moderate/high risk drinking. Males (Adjusted Odds Ratio [AOR]=1.94, 95% CI=1.3,2.9), those with higher pain interference (AOR=1.44, 95% CI=1.0,2.0), overdose history (AOR=1.93, 95% CI=1.1,3.5), sedative use (AOR=2.11, 95% CI=1.3,3.5), and tobacco use (AOR=2.41, 95% CI=1.6,3.7) had increased likelihood of moderate/high risk alcohol use (all p < 0.05).

CONCLUSIONS

Medication labeling and clinical guidelines clearly indicate that patients should abstain from concomitant use of opioids and alcohol. This study has identified rates and associated risk factors of risky alcohol use among a clinical sample of community pharmacy patients dispensed opioid medications. Continuing this line of research and potential clinical service development has the ability to improve patient safety through addressing a significant gap within the current opioid epidemic.

Addressing opioid medication misuse at point of service in community pharmacy: A study protocol for an interdisciplinary behavioral health trial

BACKGROUND

>1 in 3 of the 9 million individuals engaged in opioid medication misuse obtain legitimate opioid prescriptions and fill these in community pharmacies, which are subsequently misused. This study is testing the efficacy of a pharmacist-led intervention-Brief Intervention-Medication Therapy Management (BI-MTM)-compared to standard medication counseling (SMC) to address opioid medication misuse.

METHODS

Design. This study is a single-blinded 2-group parallel randomized trial within 13 community pharmacies that will enroll 350 individuals. Participant Recruitment. Pharmacy staff approach patients and ask about interest in completing a brief confidential screening tool, which includes opioid medication misuse assessment. Interested patients who report misuse are asked to provide informed consent. Enrolled patients are assessed for behavioral and physical health at enrollment, 2-months post-enrollment, and 6-months post-enrollment.

INTERVENTIONS

Following baseline assessment, participants are randomized (1:1 ratio) to: SMC, a medication information/counseling intervention or BI-MTM, an intervention comprised by 4 evidence-based components: medication therapy management, brief intervention, naloxone dispensing, and patient navigation.

ANALYSES

Primary analyses involve estimating 3-level generalized linear mixed models to relate repeated assessments across time of opioid medication misuse (i.e., the Prescription Opioid Misuse Index) to the intervention.

CONCLUSION

Study results will provide the first critical step towards integrating a highly accessible, low-cost approach to managing risks related to opioid use. Community pharmacies provide an incredibly important setting in which patients can receive high quality care to support health behavior change. Successfully completing this project sets the stage for a large-scale effectiveness study. (NCT#: NCT05141266).

Validation of the tobacco, alcohol, prescription medication, and other substance use (TAPS) tool with the WHO alcohol, smoking, and substance Involvement screening test (ASSIST)

INTRODUCTION

Community pharmacies are emerging as a valuable setting to identify patients with substance use. Few tools have been specially validated to screen patients in these settings, particularly among those prescribed opioid medications. The goal of this study was to validate the performance of the Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool in community pharmacy settings compared to a reference-standard substance use assessment.

METHODS

Participants were recruited while receiving opioid medications (not solely buprenorphine) from 19 pharmacies from a large national chain in Ohio and Indiana. Adults who were not involved in the criminal justice system or receiving cancer treatment were invited to participate in a one-time, cross-sectional, self-administered, health survey which included the TAPS tool. Substance use risks calculated from the TAPS tool were compared with the reference standard, World Health Organization Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) using confusion matrices. We calculated Areas Under the Curve (AUC) of Receiver Operating Characteristics Curves (ROC) to evaluate the TAPS tool's validity.

RESULTS

The TAPS tool showed fair or better discrimination between moderate-risk use and high-risk use for tobacco, alcohol, and prescription opioids (AUCs: 0.75-0.97 and fair or better discrimination between low-risk and moderate-risk use in five of eight subscales, including tobacco, alcohol, marijuana, stimulants, and heroin (AUCs: 0.70-0.92).

CONCLUSION

The TAPS tool detected clinically relevant problem substance use in several drug classes and likely would be a valuable assessment for screening illicit drug use among community pharmacy patients prescribed opioid medications.

Provider and Patient-panel Characteristics Associated With Initial Adoption and Sustained Prescribing of Medication for Opioid Use Disorder

OBJECTIVES

Limited information is available regarding provider- and patient panel-level factors associated with primary care provider (PCP) adoption/prescribing of medication for opioid use disorder (MOUD).

METHODS

We assessed a retrospective cohort from 2015 to 2018 within the Pennsylvania Medicaid Program. Participants included PCPs who were Medicaid providers, with no history of MOUD provision, and who treated ≥10 Medicaid enrollees annually. We assessed initial MOUD adoption, defined as an index buprenorphine/buprenorphine-naloxone or oral/extended release naltrexone fill and sustained prescribing, defined as ≥1 MOUD prescription(s) for 3 consecutive quarters from the PCP. Independent variables included provider- and patient panel-level characteristics.

RESULTS

We identified 113 rural and 782 urban PCPs who engaged in initial adoption and 36 rural and 288 urban PCPs who engaged in sustained prescribing. Rural/urban PCPs who issued increasingly larger numbers of antidepressant and antipsychotic medication prescriptions had greater odds of initial adoption and sustained prescribing (P < 0.05) compared to those that did not prescribe these medications. Further, each additional patient out of 100 with opioid use disorder diagnosed before MOUD adoption increased the adjusted odds for initial adoption 2% to 4% (95% confidence interval [CI] = 1.01-1.08) and sustained prescribing by 4% to 7% (95% CI = 1.01-1.08). New Medicaid providers in rural areas were 2.52 (95% CI = 1.04-6.11) and in urban areas were 2.66 (95% CI = 1.94, 3.64) more likely to engage in initial MOUD adoption compared to established PCPs.

CONCLUSIONS

MOUD prescribing adoption was concentrated among PCPs prescribing mental health medications, caring for those with OUD, and new Medicaid providers. These results should be leveraged to test/implement interventions targeting MOUD adoption among PCPs.

Attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation: A comparison of health care professionals in rural communities

Background: Health care professionals (HCPs) play an important role in opioid misuse and opioid use disorder (OUD) screening/identification, mitigation, and referral to treatment. This study compared attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation among pregnancy and non-pregnancy HCPs in rural communities. Methods: We conducted a secondary analysis of cross-sectional, self-report survey data of HCPs in two rural counties in southern Utah. Pregnancy HCPs were identified by a question asking whether they provide care to pregnant patients. HCPs' attitudes toward their patients with opioid misuse/OUD were measured using the Survey of Attitudes and Perceptions questionnaire. Self-efficacy and practices related to opioid risk assessment and mitigation were captured with questions asking about assessment and screening of opioid use, advisement to change opioid use behavior, and referral to treatment for OUD. We used linear regression analyses to estimate associations between HCPs' attitudes toward patients with opioid misuse/OUD and their self-efficacy and use of opioid risk assessment and mitigation practices. Results: This sample included a total of 132 HCPs, including 82 pregnancy HCPs and 50 non-pregnancy HCPs. Attitudes domains were similar among pregnancy and non-pregnancy HCPs. Among pregnancy HCPs, role adequacy (β = .48, 95% CI = .16-.80), role legitimacy (β = .72, 95% CI = .21-1.22), motivation (β = .68, 95% CI = .14-1.21), and positive task-specific self-esteem (β = 1.52, 95% CI = .70-2.35) were positively associated with more frequent use of opioid risk assessment and mitigation practices, while attitudes were not associated with these practices among non-pregnancy HCPs. Conclusions: Training initiatives that lead to improved HCP attitudes could improve opioid care management among rural pregnancy HCPs. More research is needed to determine approaches to increase the use of opioid risk assessment and mitigation practices among rural non-pregnancy HCPs.

Associations between elevated depressive symptoms and substance use, prescription opioid misuse, overdose history, pain, and general health among community pharmacy patients prescribed opioids

Background: Individuals with pain prescribed opioids experience high rates of comorbid depression. The aim of this study was to characterize pain, substance use, and health status as a function of depressive symptom level in individuals filling an opioid prescription at a community pharmacy. Methods: Participants (N = 1268) filling an opioid prescription enrolled in a study validating a prescription drug monitoring metric completed an online survey assessing sociodemographics, depressive symptoms, substance use, prescription opioid misuse, overdose history, general health, and pain severity and interference. Results: Approximately one-fifth (19.3%) had a positive depression screen result. In covariate-adjusted logistic regression analyses, individuals with a positive depression screen result were more likely to have moderate/high substance use risk scores for prescription opioids (adjusted odds ratio [AOR] = 2.06; 95% confidence interval [CI], 1.51-2.79); street opioids (AOR = 7.18; 95% CI, 2.57-20.01); cannabis (AOR = 2.00; 95% CI, 1.34-3.00); cocaine (AOR = 3.46; 95% CI, 1.46-8.22); tobacco (AOR = 1.59; 95% CI, 1.18-2.15); methamphetamine (AOR = 7.59; 95% CI, 2.58-22.35); prescription stimulants (AOR = 2.95; 95% CI, 1.59-5.49); and sedatives (AOR = 3.41; 95% CI, 2.43-4.79). Individuals with a positive depression screen were more likely to misuse prescription opioids (AOR = 3.46; 95% CI, 2.33-5.15), experience a prior overdose (AOR = 2.69; 95% CI, 1.76-4.11), report poorer general health (AOR = 0.25, 95% CI, 0.18-0.35), and report moderate/severe pain severity (AOR = 4.36, 95% CI, 2.80-6.77) and interference (AOR = 6.47, 95% CI, 4.08-10.26). Conclusions: Individuals prescribed opioids with heightened depression were more likely to report other substance use, prescription opioid misuse, prior overdose, greater pain, and poorer health.

Mindfulness and Savoring: A Commentary on Savoring Strategies and Their Implications for Addiction Treatment

Background: A central facet of the popular understanding of mindfulness practice is the non-judgmental observation of all thoughts and feelings. Savoring is a cognitive practice developed out of economics and positive psychology, which involves the conscious mental engagement with positively-valenced interoceptive and exteroceptive stimuli, which in turn amplifies the derived pleasure experience. Results: When incorporated into mindfulness-based interventions (MBIs), savoring holds promise in improving outcomes related to reward processing, such as positive affect and well-being. The growing body of mindfulness literature also suggests that the inclusion of savoring in MBIs may be key in treating disorders of reward dysregulation, such as addiction. If savoring does indeed reduce craving, this phenomenon offers a point of union for divergent neurobiological theories of addiction. Conclusion: In this commentary, we explore the existing literature on savoring and mindfulness practices as it relates to addictive disorders, posit underlying neurocognitive mechanisms, and present future areas of research.

Physical therapists' attitudes are associated with their confidence in and the frequency with which they engage in prescription opioid medication misuse management practices with their patients. A cross-sectional study

Background: In the US, prescription opioid medication misuse (POMM) necessitates engagement of physical therapists (PTs). We (1) evaluated the attitudes of (PT) related to their management of patients with POMM and (2) examined the association between these attitudes and PTs confidence in POMM-related management abilities and the frequency with which they engaged in POMM-related management practices. Methods: We conducted a national survey of PTs that included a modified Drug and Drug Problems Perception Questionnaire (DDPPQ). Confidence in POMM-related abilities and the frequency of engaging in POMM-related management practices were measured. Logistic regression evaluated the association between the DDPPQ subscales (role adequacy, role legitimacy, role self-esteem, role support, job satisfaction) and confidence and frequency outcomes. Results: The analysis included 402 respondents. Role adequacy and legitimacy subscales were associated with confidence and frequency outcomes (p<.05), indicating that more favorable role adequacy and legitimacy attitudes are associated with greater odds of having more confidence in POMM-related management abilities and of engaging in more frequent POMM-related management practices. Conclusions: PTs with a greater sense of preparedness to engage in POMM-related management were more likely to report greater confidence in POMM-related management abilities and engage in POMM-related management practices with greater frequency.

Treatment access for opioid use disorder in pregnancy among rural and American Indian communities

BACKGROUND

Opioid use disorder (OUD) in pregnancy disproportionately impacts rural and American Indian (AI) communities. With limited data available about access to care for these populations, this study's objective was to assess clinic knowledge and new patient access for OUD treatment in three rural U.S. counties.

MATERIAL AND METHODS

The research team used unannounced standardized patients (USPs) to request new patient appointments by phone for white and AI pregnant individuals with OUD at primary care and OB/GYN clinics that provide prenatal care in three rural Utah counties. We assessed a) clinic familiarity with buprenorphine for OUD; b) appointment availability for buprenorphine treatment; c) appointment wait times; d) referral provision when care was unavailable; and e) availability of OUD care at referral locations. We compared outcomes for AI and white USP profiles using descriptive statistics.

RESULTS

The USPs made 34 calls to 17 clinics, including 4 with publicly listed buprenorphine prescribers on the Substance Abuse and Mental Health Services Administration website. Among clinical staff answering calls, 16 (47%) were unfamiliar with buprenorphine. OUD treatment was offered when requested in 6 calls (17.6%), with a median appointment wait time of 2.5 days (IQR 1-5). Among clinics with a listed buprenorphine prescriber, 2 of 4 (50%) offered OUD treatment. Most clinics (n = 24/28, 85.7%) not offering OUD treatment provided a referral; however, a buprenorphine provider was unavailable/unreachable 67% of the time. The study observed no differences in appointment availability between AI and white individuals.

CONCLUSIONS

Rural-dwelling AI and white pregnant individuals with OUD experience significant barriers to accessing care. Improving OUD knowledge and referral practices among rural clinics may increase access to care for this high-risk population.

Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test

BACKGROUND

Prescription drug monitoring programs (PDMPs) are critical for pharmacists to identify risky opioid medication use. We performed an independent evaluation of the PDMP-based Narcotic Score (NS) metric.

METHODS

This study was a one-time, cross-sectional health assessment within 19 pharmacies from a national chain among adults picking-up opioid medications. The NS metric is a 3-digit composite indicator. The WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) was the gold-standard to which the NS metric was compared. Machine learning determined optimal risk thresholds; Receiver Operating Characteristic curves and Spearman (P) and Kappa (K) coefficients analyzed concurrent validity. Regression analyses evaluated participant characteristics associated with misclassification.

RESULTS

The NS metric showed fair concurrent validity (area under the curve≥0.70; K=0.35; P = 0.37, p < 0.001). The ASSIST and NS metric categorized 37% of participants as low-risk (i.e., not needing screening/intervention) and 32.3% as moderate/high-risk (i.e., needing screening/intervention). Further, 17.2% were categorized as low ASSIST risk but moderate/high NS metric risk, termed false positives. These reported disability (OR=3.12), poor general health (OR=0.66), and/or greater pain severity/interference (OR=1.12/1.09; all p < 0.05; i.e., needing unmanaged-pain screening/intervention). A total of 13.4% were categorized as moderate/high ASSIST risk but low NS metric risk, termed false negatives. These reported greater overdose history (OR=1.24) and/or substance use (OR=1.81-12.66; all p < 0.05).

CONCLUSIONS

The NS metric could serve as a useful initial universal prescription opioid-risk screener given its: 1) low-burden (i.e., no direct assessment); 2) high accuracy (86.5%) of actionable data identifying low-risk patients and those needing opioid use/unmanaged pain screening/intervention; and 3) broad availability.

Integrated Psychosocial Group Treatment: A Randomized Pilot Trial of a Harm Reduction and Preventive Approach for Patients with Chronic Pain at Risk of Opioid Misuse

OBJECTIVE

To examine the benefits of an integrated psychosocial group treatment (IPGT) model for patients with chronic pain at risk of opioid misuse.

DESIGN

This study was a small-scale, single-blinded, two-group randomized controlled trial.

SETTING

Outpatient.

SUBJECTS

Adults with chronic pain of >3 months' duration who were currently prescribed opioid medication and were at risk of opioid misuse.

METHODS

Patients with chronic pain who were at risk of opioid misuse (n = 30) were randomly assigned to IPGT or treatment as usual. IPGT consists of six group sessions of psychoeducation, motivational interviewing, cognitive behavioral therapy, mindfulness, and peer support. Participants were assessed at baseline, first follow-up at 6 weeks, and a posttreatment follow-up at 9 weeks. Outcomes included feasibility, acceptability, and preliminary efficacy. Data were analyzed with descriptive and multivariate analyses.

RESULTS

All intervention components were delivered to 87% of the participants, and IPGT recipients reported a high level of satisfaction. Results of the multivariate analyses demonstrated nonsignificant improvements in pain severity (β = 0.22, 95% CI: -0.24 to 0.66, P = 0.35). However, we observed significant treatment × time interactions on pain interference (β = 3.32, 95% confidence interval [CI]: 0.01 to 6.65, P = 0.05) and pain catastrophizing (β = 2.74, 95% CI: 0.49 to 4.99, P = 0.02). Lastly, we detected no significant differences in opioid misuse (adjusted odds ratio = 0.69, 95% CI: -0.26 to 1.64, P = 0.16).

CONCLUSION

This study provides support for the IPGT intervention being acceptable and feasible for delivery in patients with chronic pain at risk of opioid misuse. Efficacy was achieved in pain interference and pain catastrophizing.

Pain Appraisals in Patients with Physical Injury: Assessing the Role of Distress Tolerance in the Relationship between Depression and Pain Catastrophizing

Pain is a complex construct contributing to significant impairment, particularly among physically injured patients seeking treatment in trauma and orthopedic surgery settings in which social workers are an integral component of care. The biopsychosocial theory, fear-avoidance, and cognitive mediation models of pain suggest that psychological factors (for example, depression) affect one's ability to tolerate distress, leading to negative pain appraisals, such as catastrophizing. This study examined whether distress tolerance serves as a mechanism by which depression is associated with pain catastrophizing. We administered a health survey to outpatient trauma and orthopedic surgery clinic patients who were using opioid medications; 84 patients were included in the final analysis; 39.3 percent screened positive for depression. A multilevel mediation model using structural equation modeling revealed a significant direct effect from depression to pain catastrophizing (ß = .31, z = 3.96, p < .001) and a significant indirect effect by distress tolerance (Δß = .27, z = 3.84, p < .001). These results, which suggest that distress tolerance partially mediated the path from depression to pain catastrophizing, can inform social workers and other members of the multidisciplinary team about both the critical role of psychosocial factors after injury and interventions to improve postinjury recovery.

Concomitant Cannabis Misuse and Associations with Depression, Pain and Substance Misuse among Patients Prescribed Opioids

BACKGROUND

Cannabis use is common among individuals with pain who are prescribed opioids, occurring in approximately 10% of this population. This study aims to explore the relationship between non-medical cannabis use and other health risks among individuals filling opioids at community pharmacies.

METHODS

This study was an exploratory secondary data analysis of a National Drug Abuse Treatment Clinical Trials Network (CTN)-sponsored study, Validation of a Community Pharmacy-Based Prescription Drug Monitoring Program Risk Screening, examining the relationship between risky cannabis use and depressive symptoms, pain, overdose, and other substance misuse among individuals filling opioid prescriptions in community pharmacies (N = 1440).

RESULTS

Participants reporting moderate- to high-risk compared to low-risk cannabis use were more likely to report depressive symptoms (adjusted OR = 1.67, 95% CI = 1.11-2.56), history of overdose (adjusted OR = 2.15, 95% CI = 1.34-3.44), and moderate- to high-risk use of alcohol (adjusted OR = 2.10, 95% CI = 1.28-3.45), opioids (adjusted OR = 2.50, 95% CI = 1.67-3.76), sedatives (adjusted OR = 2.58, 95% CI = 1.72-3.86), stimulants (adjusted OR = 4.79, 95% CI = 2.83-8.01), and tobacco (adjusted OR = 3.60, 95% CI = 2.47-5.24).

CONCLUSIONS

Community pharmacies may be valuable sites for identifying, studying, and intervening with substance use problems.

Development of an unannounced standardized patient protocol to evaluate opioid use disorder treatment in pregnancy for American Indian and rural communities

BACKGROUND

Opioid use disorder (OUD) disproportionately impacts rural and American Indian communities and has quadrupled among pregnant individuals nationwide in the past two decades. Yet, limited data are available about access and quality of care available to pregnant individuals in rural areas, particularly among American Indians (AIs). Unannounced standardized patients (USPs), or "secret shoppers" with standardized characteristics, have been used to assess healthcare access and quality when outcomes cannot be measured by conventional methods or when differences may exist between actual versus reported care. While the USP approach has shown benefit in evaluating primary care and select specialties, its use to date for OUD and pregnancy is very limited.

METHODS

We used literature review, current practice guidelines for perinatal OUD management, and stakeholder engagement to design a novel USP protocol to assess healthcare access and quality for OUD in pregnancy. We developed two USP profiles-one white and one AI-to reflect our target study area consisting of three rural, predominantly white and AI US counties. We partnered with a local community health center network providing care to a large AI population to define six priority outcomes for evaluation: (1) OUD treatment knowledge among clinical staff answering telephones; (2) primary care clinic facilitation and provision of prenatal care and buprenorphine treatment; (3) appropriate completion of evidence-based screening, symptom assessment, and initial steps in management; (4) appropriate completion of risk factor screening/probing about individual circumstances that may affect care; (5) patient-directed tone, stigma, and professionalism by clinic staff; and (6) disparities in care between whites and American Indians.

DISCUSSION

The development of this USP protocol tailored to a specific environment and high-risk patient population establishes an innovative approach to evaluate healthcare access and quality for pregnant individuals with OUD. It is intended to serve as a roadmap for our own study and for future related work within the context of substance use disorders and pregnancy.

U.S. student pharmacist perceptions of the pharmacist's role in methadone for opioid use disorder: A qualitative study

BACKGROUND

Of the over 20 million Americans reporting an opioid use disorder, only around 3 million report receiving treatment of any kind. The gold standard for opioid use disorder treatment is medication in combination with psychosocial support, but despite robust evidence supporting treatment, barriers are substantial and include limited insurance coverage, patient beliefs, ease of access, regulatory hurdles, and stigma. Although trained as medication experts, U.S. pharmacists are not routinely involved in opioid use disorder treatment and may represent an underutilized care team member.

OBJECTIVE

To explore U.S. pharmacy students' perspectives on pharmacists as providers of methadone-based medications for opioid use disorder treatment.

METHODS

A qualitative design with focus groups of student pharmacists in a U.S. college of pharmacy in the Southeastern United States.

RESULTS

Over 2 months in 2020, three focus groups were conducted with 15 students in each group participating, and including second-, third-, and fourth-year student pharmacists. Three overarching themes emerged from the data: (1) student pharmacists desire exposure to therapeutic knowledge and lived experiences related to opioid use disorder and methadone treatment, (2) students perceive stigmatizing views held by practicing pharmacists toward opioid use disorder and methadone treatment, (3) pharmacists should play a role in methadone treatment.

CONCLUSION

Student pharmacists desire an active and larger role in the care of patients managing opioid use disorder. Findings indicate these students perceive less stigma toward opioid use disorder than currently practicing pharmacists. Pharmacy curricula should emphasize stories of lived experiences of patients with opioid use disorder, therapeutic knowledge and guidelines related to medications for opioid use disorder, and the regulatory environment surrounding opioid use disorder treatment.

Enhancements in laser-generated hot-electron production via focusing cone targets at short pulse and high contrast

We report on the increase in the accelerated electron number and energy using compound parabolic concentrator (CPC) targets from a short-pulse (∼150 fs), high-intensity (>10^{18} W/cm^{2}), and high-contrast (∼10^{8}) laser-solid interaction. We report on experimental measurements using CPC targets where the hot-electron temperature is enhanced up to ∼9 times when compared to planar targets. The temperature measured from the CPC target is 〈T_{e}〉=4.4±1.3 MeV. Using hydrodynamic and particle in cell simulations, we identify the primary source of this temperature enhancement is the intensity increase caused by the CPC geometry that focuses the laser, reducing the focal spot and therefore increasing the intensity of the laser-solid interaction, which is also consistent with analytic expectations for the geometrical focusing.

Patterns of clinic switching and continuity of medication for opioid use disorder in a Medicaid-enrolled population

BACKGROUND

Many persons with opioid use disorder (OUD) initiate medication for opioid use disorder (MOUD) with one clinic and switch to another clinic during their course of treatment. These switches may occur for referrals or for unplanned reasons. It is unknown, however, what effect switching MOUD clinics has on continuity of MOUD treatment or on overdoses.

OBJECTIVE

To examine patterns of switching MOUD clinics and its association with the proportion of days covered (PDC) by MOUD, and opioid-related overdose.

DESIGN

Cross-sectional retrospective analysis of Pennsylvania Medicaid claims data.

MAIN MEASURES

MOUD clinic switches (i.e., filling a MOUD prescription from a prescriber located in a different clinic than the previous prescriber), PDC, and opioid-related overdose.

RESULTS

Among 14,107 enrollees, 43.2 % switched clinics for MOUD at least once during the 270 day period. In multivariate regression results, enrollees who were Non-Hispanic black (IRR = 1.43; 95 % CI = 1.24-1.65; p < 0.001), had previous methadone use (IRR = 1.32; 95 % CI = 1.13-1.55; p < 0.001), and a higher total number of office visits (IRR = 1.01; CI = 1.01-1.01; p < 0.001) had more switches. The number of clinic switches was positively associated with PDC (OR = 1.12; 95 % CI = 1.10-1.13). In secondary analyses, we found that switches for only one MOUD fill were associated with lower PDC (OR = 0.97; 95 % CI = 0.95-0.99), while switches for more than one MOUD fill were associated with higher PDC (OR = 1.40; 95 % CI = 1.36-1.44). We did not observe a relationship between opioid-related overdose and clinic switches.

CONCLUSIONS

Lack of prescriber continuity for receiving MOUD may not be problematic as it is for other conditions, insofar as it is related to overdose and PDC.

Predicting Mortality Risk After a Hospital or Emergency Department Visit for Nonfatal Opioid Overdose

BACKGROUND

Survivors of opioid overdose have substantially increased mortality risk, although this risk is not evenly distributed across individuals. No study has focused on predicting an individual's risk of death after a nonfatal opioid overdose.

OBJECTIVE

To predict risk of death after a nonfatal opioid overdose.

DESIGN AND PARTICIPANTS

This retrospective cohort study included 9686 Pennsylvania Medicaid beneficiaries with an emergency department or inpatient claim for nonfatal opioid overdose in 2014-2016. The index date was the first overdose claim during this period.

EXPOSURES, MAIN OUTCOME, AND MEASURES

Predictor candidates were measured in the 180 days before the index overdose. Primary outcome was 180-day all-cause mortality. Using a gradient boosting machine model, we classified beneficiaries into six subgroups according to their risk of mortality (< 25th percentile of the risk score, 25th to < 50th, 50th to < 75th, 75th to < 90th, 90th to < 98th, ≥ 98th). We then measured receipt of medication for opioid use disorder (OUD), risk mitigation interventions (e.g., prescriptions for naloxone), and prescription opioids filled in the 180 days after the index overdose, by risk subgroup.

KEY RESULTS

Of eligible beneficiaries, 347 (3.6%) died within 180 days after the index overdose. The C-statistic of the mortality prediction model was 0.71. In the highest risk subgroup, the observed 180-day mortality rate was 20.3%, while in the lowest risk subgroup, it was 1.5%. Medication for OUD and risk mitigation interventions after overdose were more commonly seen in lower risk groups, while opioid prescriptions were more likely to be used in higher risk groups (both p trends < .001).

CONCLUSIONS

A risk prediction model performed well for classifying mortality risk after a nonfatal opioid overdose. This prediction score can identify high-risk subgroups to target interventions to improve outcomes among overdose survivors.

Brief intervention medication therapy management: Establishment of an opioid misuse intervention model delivered in a community pharmacy

PURPOSE

Medication expertise and close patient contact position community pharmacists to make significant contributions to combatting the opioid epidemic. This position facilitated the development and initial implementation of the Brief Intervention Medication Therapy Management (BIMTM) model to detect and address patient opioid misuse. BIMTM is an intervention consisting of 9 sessions. One medication management session is delivered by a pharmacist in a community pharmacy setting, and the remaining sessions are delivered telephonically by a patient navigator to follow up with goals established with the pharmacist and address concomitant health concerns that increase risk for misuse.

METHODS

We employed the Consolidated Framework for Implementation Research (CFIR) to summarize and present key findings from 4 distinct studies. CFIR domains addressed were (1) intervention characteristics, (2) outer setting, (3) inner setting, (4) process, and (5) characteristics of individuals. The study results show sequential development of evidence for BIMTM.

RESULTS

A multistate cross-sectional pharmacist survey (n = 739) demonstrated limited pharmacist training and/or resources to address misuse, suggesting the need for external intervention development. Our multistakeholder intervention planning project showed limitations of current evidence-based models of care and of intervention implementation, which resulted in construction of the BIMTM. A multisite cross-sectional screening survey of patients (n = 333) established an electronic misuse screening protocol within 4 community pharmacies and identified opioid misuse in 15% of screened patients; among those patients, 98% had concomitant health conditions that contribute to the risk of opioid misuse. Presentation of study results to pharmacy leaders produced commitment for intervention implementation and a partnership to develop a grant proposal supporting this action. Our small-scale randomized trial evinced success in recruitment and retention and BIMTM patient benefit. The small-scale randomized trial likewise showed high levels of satisfaction with BIMTM.

CONCLUSION

The establishment of BIMTM supports community pharmacist identification and intervention with patients engaged in misuse. Continued use of this research-based strategy may further empower pharmacists to address the opioid epidemic.

Abuse-Deterrent Opioid Formulations and the Opioid Crisis: A Pharmacist's Perspective

BACKGROUND

For over 20 years, the United States has suffered the detrimental effects of an opioid epidemic. Extended-release opioid products are particularly prone to abuse due to the high amount of opioid present. By bypassing the controlled-release mechanisms and nonoral administration, individuals experience intense and dangerous "highs." Abuse-deterrent opioid formulations have been recommended as a potential solution to the crisis, but widespread utilization has been stunted and their role in therapy remains unclear owing to limited real-world efficacy data and affordability issues. This review discusses abuse-deterrent opioid formulations, the mechanisms and data underlying available products, and a pharmacist's perspective of their role in the opioid crisis.

METHODS

The authors reviewed PubMed, MEDLINE, and Google Scholar electronic databases for premarketing and postmarketing studies on OxyContin, Xtampza ER, and Hysingla ER.

RESULTS

Studies showed lower rates of abuse (19% reduction), opioid use disorder (27%), overdose (34%), and fatalities (85%) with the reformulated OxyContin when compared with the original product and comparator opioids. However, these studies revealed the potential for bypassing abuse-deterrent mechanisms and diverting abuse to other drugs. Postmarketing studies are unavailable for Xtampza ER or Hysingla ER, although premarketing studies suggested that some controlled-release properties persist when the product is manipulated, indicating that abuse may be more difficult and less rewarding.

CONCLUSIONS

Abuse-deterrent opioid products may lead to reductions in abuse, overdose, and overdose fatalities. However, cost, loopholes in deterrence mechanism, and possible diversion to other substances hinder their role in the opioid crisis. Multiple approaches must be used to improve opioid safety, and further postmarketing and real-world analyses should be performed on available opioid formulations to assess their impact on abuse-related adverse events.

An Exploratory Study of Pharmacist Perceptions of Opioid Interventions for Acute Pain

Background: As the last health care provider encountered before an opioid is dispensed, pharmacists have a vital role in reducing unnecessary opioid exposure while facilitating access to non-opioid alternatives. Objective: To characterize pharmacist perceptions in providing interventions for patients with an opioid prescription for acute pain. Methods: This cross-sectional survey was administered over 3 months to pharmacy preceptors affiliated with the University of Tennessee Health Science Center College of Pharmacy. The electronic survey utilized 7 demographical and baseline questions, 1 open-ended question, and 5 Likert-type scales to assess the following domains: responsibility in making decisions, willingness to provide information, comfort in speaking to patients, willingness to use a standing order, and importance of following up with patients. Results: Of the 380 participants invited to participate, 126 responded to at least one question and 90 completed all survey questions. Most participants were PharmD graduates practicing in hospital and community settings. Participants felt that opioids are frequently overprescribed and pharmacist interventions are often necessary. Most participants reported that pharmacists and physicians share similar responsibilities in making opioid-related decisions. Participants were willing to provide information about opioid alternatives but were only somewhat comfortable speaking to patients. Responses to the open-ended question revealed the following themes: Significance of educating the patient; Importance of alternatives to opioid medications; Impacts of pharmacist interventions; and Need for enhanced collaboration with physicians. Conclusions: Pharmacists face complex issues with limited clinical guidance when providing opioid-related interventions. Future research is needed to develop evidence-based clinical support tools and collaborative practice models.

Derivation and assessment of the opioid use disorder severity scale: prediction of health, psychological and social adjustment problems

Background: Severity of substance use disorder (SUD) is typically evaluated by tabulating the number of symptoms. The resulting estimate of disorder severity is, however, biased due to intercorrelations among symptoms and their unequal salience. Objective. Employing item response theory (IRT) methodology, opioid use disorder symptoms were calibrated to derive the Opioid Use Disorder Severity Scale (OUDSS) and assess its predictive ability in men and women separately. Methods: A two-parameter IRT model was utilized to derive the OUDSS from DSM-IV symptoms recorded on the Structured Clinical Interview for DSM-IV (SCID) in 438 men and 429 women who reported at least one lifetime opioid consumption event. The predictive ability of the OUDSS was evaluated using the 10 health, psychological, and social adjustment domains of the revised Drug Use Screening Inventory (DUSI-R) assessed 2 years later. Results: The OUDSS score predicted the severity of problems in all 10 DUSI-R domains in men and women. The OUDSS also predicted the DUSI-R diagnostic cutoff score of overall problem density score in men and women (OR = 2.21 and OR = 4.83, respectively). Withdrawal was the most frequently endorsed symptom in this sample of opioid users. The other symptoms' frequencies, while somewhat lower than withdrawal's, did not differ from it substantially, indicating a similar severity threshold. Conclusions: OUDSS enables dimensional measurement of opioid use severity on an interval scale. The OUDSS and DUSI-R together can identify problem areas requiring prevention or treatment.

Addressing opioid use disorder among rural pregnant and postpartum women: a study protocol

BACKGROUND

Opioid use disorder (OUD) among women delivering at a hospital has increased 400% from 1999-2014 in the United States. From the years 2007 to 2016, opioid-related mortality during pregnancy increased over 200%, and drug-overdose deaths made up nearly 10% of all pregnancy-associated mortality in 2016 in the US. Disproportionately higher rates of neonatal opioid withdrawal syndrome (NOWS) have been reported in rural areas of the country, suggesting that perinatal OUD is a pressing issue among these communities. There is an urgent need for comprehensive, evidence-based treatment services for pregnant women experiencing OUD. The purpose of this article is to describe a study protocol aimed at developing and evaluating a perinatal OUD curriculum, enhancing evidence-based perinatal OUD treatment in a rural setting, and evaluating the implementation of such collaborative care for perinatal OUD.

METHODS

This two-year study employed a one group, repeated measures, hybrid type-1 effectiveness-implementation design. This study delivered interventions at 2 levels, both targeting improvement of care for pregnant women with OUD. The first area of focus was at the community healthcare provider-level, which aimed to evaluate the acceptability and feasibility of perinatal OUD education across time and to improve provider education by increasing knowledge specific to: MOUD provision; screening, brief intervention, and referral to treatment (SBIRT) utilization; and NOWS treatment. The second area of intervention focus was at the patient-level, which assessed the preliminary effect of perinatal OUD provider education in promoting illicit opioid abstinence and treatment engagement among pregnant women with OUD. We adopted constructs from the Consolidated Framework for Implementation Research (CFIR) to assess contextual factors that may influence implementation, and the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) model to comprehensively evaluate implementation outcomes.

DISCUSSION

This article presents the protocol of an implementation study that is employing the CFIR and RE-AIM frameworks to implement and evaluate a perinatal OUD education and service coordination program in two rural counties. This protocol could serve as a model for clinicians and researchers seeking to implement improvements in perinatal care for women with OUD in other rural communities. Trial registration NCT04448015 clinicaltrials.gov.

Forecasting Opioid Use Disorder at 25 Years of Age in 16-Year-Old Adolescents

OBJECTIVE

To evaluate the accuracy of detecting 16-year-old male (n = 465) and female (n = 162) youths who subsequently manifest opioid use disorder (OUD) at 25 years of age. We hypothesized that the combined measures of 2 components of etiology, heritable risk, and substance use, accurately detect youths who develop OUD.

STUDY DESIGN

Heritable risk was measured by the transmissible liability index (TLI). Severity of the prodrome presaging OUD was quantified by the revised Drug Use Screening Inventory containing the consumption frequency index (CFI) documenting substance use events during the past month and the overall problem density (OPD) score indicating co-occurring biopsychosocial problems. Diagnosis of OUD was formulated by a clinical committee based on results of the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition in conjunction with medical and social history records.

RESULTS

Bivariate analysis shows that the TLI, CFI, and OPD scores at 16 years of age predict OUD at 25 years. Multivariate modeling indicates that the TLI combined with the CFI predict OUD with 86% accuracy (sensitivity = 87%; specificity = 62%). The TLI and CFI at 16 years of age mediate the association between parental substance use disorder and OUD in offspring at 25 years of age, indicating that these measures respectively evaluate risk and prodrome.

CONCLUSIONS

These results demonstrate the feasibility of identifying youths requiring intervention to prevent OUD.

Associations Between the Specialty of Opioid Prescribers and Opioid Addiction, Misuse, and Overdose Outcomes

OBJECTIVE

To examine associations between opioid prescriber specialty and patient likelihood of opioid use disorder (OUD), opioid misuse, and opioid overdose.

DESIGN

Longitudinal retrospective study using Pennsylvania Medicaid data (2007-2015).

METHODS

We constructed an incident cohort of 432,110 enrollees initiating prescription opioid use without a history of OUD or overdose six months before opioid initiation. We attributed patients to one of 10 specialties using the first opioid prescriber's specialty or, alternatively, the specialty of the dominant prescriber writing the majority of the patient's opioid prescriptions. We estimated adjusted rates for OUD, misuse, and overdose, adjusting for demographic variables and medical (including pain) and psychiatric comorbidities.

RESULTS

The unadjusted incidence rates of OUD, misuse, and overdose were 7.13, 4.73, and 0.69 per 100,000 person-days, respectively. Patients initiating a new episode of opioid treatment with Pain Medicine/Anesthesiology (6.7 events, 95% confidence interval [CI] = 5.5 to 8.2) or Physical Medicine and Rehabilitation (PM&R; 6.1 events, 95% CI = 5.1 to 7.2) had higher adjusted rates for OUD per 100,000 person-days compared with Primary Care practitioners (PCPs; 4.4 events, 95% CI = 4.1 to 4.7). Patients with index prescriptions from Pain Medicine/Anesthesiology (15.9 events, 95% CI = 13.2 to 19.3) or PM&R (15.8 events, 95% CI = 13.5 to 18.4) had higher adjusted rates for misuse per 100,000 person-days compared with PCPs (9.6 events, 95% CI = 8.8 to 10.6). Findings were largely similar when patients were attributed to specialty based on dominant prescriber.

CONCLUSIONS

Differences in opioid-related risks by specialty of opioid prescriber may arise from differences in patient risk factors, provider behavior, or both. Our findings inform targeting of opioid risk mitigation strategies to specific practitioner specialties.

Medication treatment for opioid use disorder and community pharmacy: Expanding care during a national epidemic and global pandemic

Medications for opioid use disorder (MOUD), such as methadone and buprenorphine, are effective strategies for treatment of opioid use disorder (OUD) and reducing overdose risk. MOUD treatment rates continue to be low across the US, and currently, some evidence suggests access to evidence-based treatment is becoming increasingly difficult for those with OUD as a result of the 2019 novel corona virus (COVID-19). A major underutilized source to address these serious challenges in the US is community pharmacy given the specialized training of pharmacists, high levels of consumer trust, and general availability for accessing these service settings. Canadian, Australian, and European pharmacists have made important contributions to the treatment and care of those with OUD over the past decades. Unfortunately, US pharmacists are not permitted to prescribe MOUD and are only currently allowed to dispense methadone for the treatment of pain, not OUD. US policymakers, regulators, and practitioners must work to facilitate this advancement of community pharmacy-based through research, education, practice, and industry. Advancing community pharmacy-based MOUD for leading clinical management of OUD and dispensation of treatment medications will afford the US a critical innovation for addressing the opioid epidemic, fallout from COVID-19, and getting individuals the care they need.

Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study

OBJECTIVE

To develop and validate a machine-learning algorithm to improve prediction of incident OUD diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions.

METHODS

This prognostic study included 361,527 fee-for-service Medicare beneficiaries, without cancer, filling ≥1 opioid prescriptions from 2011-2016. We randomly divided beneficiaries into training, testing, and validation samples. We measured 269 potential predictors including socio-demographics, health status, patterns of opioid use, and provider-level and regional-level factors in 3-month periods, starting from three months before initiating opioids until development of OUD, loss of follow-up or end of 2016. The primary outcome was a recorded OUD diagnosis or initiating methadone or buprenorphine for OUD as proxy of incident OUD. We applied elastic net, random forests, gradient boosting machine, and deep neural network to predict OUD in the subsequent three months. We assessed prediction performance using C-statistics and other metrics (e.g., number needed to evaluate to identify an individual with OUD [NNE]). Beneficiaries were stratified into subgroups by risk-score decile.

RESULTS

The training (n = 120,474), testing (n = 120,556), and validation (n = 120,497) samples had similar characteristics (age ≥65 years = 81.1%; female = 61.3%; white = 83.5%; with disability eligibility = 25.5%; 1.5% had incident OUD). In the validation sample, the four approaches had similar prediction performances (C-statistic ranged from 0.874 to 0.882); elastic net required the fewest predictors (n = 48). Using the elastic net algorithm, individuals in the top decile of risk (15.8% [n = 19,047] of validation cohort) had a positive predictive value of 0.96%, negative predictive value of 99.7%, and NNE of 104. Nearly 70% of individuals with incident OUD were in the top two deciles (n = 37,078), having highest incident OUD (36 to 301 per 10,000 beneficiaries). Individuals in the bottom eight deciles (n = 83,419) had minimal incident OUD (3 to 28 per 10,000).

CONCLUSIONS

Machine-learning algorithms improve risk prediction and risk stratification of incident OUD in Medicare beneficiaries.

The 2019 addiction health services research conference: Insights, review, and abstracts

The 2019 Addiction Health Services Research (AHSR) Conference was held from October 16 to 18, 2019 in Park City, Utah. The conference was hosted by the Program for Addiction, Research, Clinical Care, Knowledge, and Advocacy within the Division of Epidemiology, Department of Internal Medicine at the University of Utah School of Medicine. AHSR is an annual conference to share discoveries, network with colleagues, and learn the most up-to-date research regarding how to identify, assess, and treat persons with addictions. This commentary contains 2019 AHSR specific goals and descriptions of content shared at this year's conference. Descriptions include information regarding pre-conference activities and conference plenaries, mentorship opportunities, and investigator awardees. Commentary also includes acknowledgments of those who assisted in making the 2019 AHSR Conference possible. Additionally, abstracts of the scientific research presented at the conference are included.