The Economic Burden of Prescription Opioid Overdose, Abuse, and Dependence in the United States, 2013

Examining the association of rurality with opioid-related morbidity and mortality in Georgia: A geospatial analysis

INTRODUCTION

The US opioid epidemic continues to escalate, with overdose deaths being the most-used metric to quantify its burden. There is significant geographic variation in opioid-related outcomes. Rural areas experience unique challenges, yet many studies oversimplify rurality characterizations. Contextual factors, such as area deprivation, are also important to consider when understanding a community's need for treatment services and prevention programming. This study aims to provide a geospatial snapshot of the opioid epidemic in Georgia using several metrics of opioid-related morbidity and mortality and explore differences by rurality across counties.

METHODS

This was a spatial ecologic study. Negative binominal regression was used to model the relationship of county rurality with four opioid-related outcomes - overdose mortality, emergency department visits, inpatient hospitalizations, and overdose reversals - adjusting for county-level sex, racial/ethnic, and age distributions. Area Deprivation Index was also included.

RESULTS

There was significant geographic variation across the state for all four opioid-related outcomes. Counts remained highest among the metro areas. For rates, counties in the top quartile of rates varied by outcome and were often rural areas. In the final models, rurality designation was largely unrelated to opioid outcomes, with the exception of medium metro areas (inversely related to hospitalizations and overdose reversals) and non-core areas (inversely related to hospitalizations), as compared to large central metro areas. Higher deprivation was significantly related to increased ED visits and hospitalizations, but not overdose mortality and reversals.

CONCLUSIONS

When quantifying the burden of the opioid epidemic in a community, it is essential to consider multiple outcomes of morbidity and mortality. Understanding what outcomes are problematic for specific communities, in combination with their demographic and socioeconomic context, can provide insight into gaps in the treatment continuum and potential areas for intervention. Additionally, compared to demographic and socioeconomic factors, rurality may no longer be a salient predictor of the severity of the opioid epidemic in an area.

Association of substance-use disorder with outcomes of major elective abdominal operations: A contemporary national analysis

Background

Affecting >20million people in the U.S., including 4 % of all hospitalized patients, substance use disorder (SUD) represents a growing public health crisis. Evaluating a national cohort, we aimed to characterize the association of concurrent SUD with perioperative outcomes and resource utilization following elective abdominal operations.

Methods

All adult hospitalizations entailing elective colectomy, gastrectomy, esophagectomy, hepatectomy, and pancreatectomy were tabulated from the 2016-2020 National Inpatient Sample. Patients with concurrent substance use disorder, comprising alcohol, opioid, marijuana, sedative, cocaine, inhalant, hallucinogen, or other psychoactive/stimulant use, were considered the SUD cohort (others: nSUD). Multivariable regression models were constructed to evaluate the independent association between SUD and key outcomes.

Results

Of ∼1,088,145 patients, 32,865 (3.0 %) comprised the SUD cohort. On average, SUD patients were younger, more commonly male, of lowest quartile income, and of Black race. SUD patients less frequently underwent colectomy, but more often pancreatectomy, relative to nSUD.Following risk adjustment and with nSUD as reference, SUD demonstrated similar likelihood of in-hospital mortality, but remained associated with increased odds of any perioperative complication (Adjusted Odds Ratio [AOR] 1.17, CI 1.09-1.25). Further, SUD was linked with incremental increases in adjusted length of stay (β + 0.90 days, CI +0.68-1.12) and costs (β + $3630, CI +2650-4610), as well as greater likelihood of non-home discharge (AOR 1.54, CI 1.40-1.70).

Conclusions

Concurrent substance use disorder was associated with increased complications, resource utilization, and non-home discharge following major elective abdominal operations. Novel interventions are warranted to address increased risk among this vulnerable population and address significant disparities in postoperative outcomes.

Increasing Uptake of Prescription Drug Take-Back Boxes: Eliciting Preferences and Applying the Theory of Planned Behavior to Predict Use

This study assesses adults' perceptions of and predictors of intention to use prescription drug take-back boxes. This mixed methods study utilized focus groups and an online survey to examine factors related to intention to use a prescription drug take-back box. This study was conducted in [State] during the spring and summer of 2018. Themes identified in focus group data included the importance of take-back box location, benefits of take-back box use (such as reducing opportunities for medication misuse), and barriers to take-back box use (such as lack of awareness, stigma associated with law enforcement). Survey results indicate that pharmacies are the most preferred take-back box location and that attitudes, subjective norms, and perceived behavioral control are statistically significant predictors of intention to use a take-back box. Results suggest that individuals are open to using take-back boxes in secure, convenient locations, but many are unaware of take-back boxes as an option for safe disposal. These findings have implications for health communication and policy efforts designed to increase the use of take-back boxes for prescription drug disposal.

"Fighting demons": Stigma and shifting norms in explicit mention of overdose in obituaries, 2010-2019

Obituaries are often the only published record of an individual's life and elicit community reactions, including stigmatization. Because obituaries are typically written by the bereaved, their content reflects the writer's perceptions of mores governing the social context of the next-of-kin and decedent. When a cause of death is stigmatized, it can influence the way the bereaved write the obituary. However, what constitutes a stigmatized cause of death may change as larger societal discourses of morality shift and conditions or events become framed differently. Using a sample of obituaries (N = 210) from obituary aggregator Legacy.com of "off-time," or premature, deaths in West Virginia from 2010, 2015, 2017, and 2019, this article explores whether the presentation of overdose deaths in obituaries changes alongside the shift in the public framing of the opioid crisis as medical rather than criminal. I find obituaries including terms associated with drug use and overdose become both more common and explicit over the course of the study period. This suggests that the shift in public framing of the opioid crisis from criminalization to medicalization corresponds with a decrease in drug stigmatization in obituaries. Obituary analysis can be a useful means of exploring the stigmatization of other controversial causes of death, such as suicide, cirrhosis, and lung cancer.

Morphine-Driven m6A Epitranscriptomic Neuroadaptations in Primary Cortical Cultures

Opioid overdose is the leading cause of accidental death in the United States and remains a major public health concern, despite significant resources aimed at combating opioid misuse. Neurobiological research to elucidate molecular and cellular consequences of opioid exposure is required to define avenues to explore for reversal of opioid-induced neuroadaptations. Opioids impart well-documented regulation of the transcriptome and epigenetic modifications in the brain, but opioid-induced epitranscriptomic posttranscriptional regulation of RNA is vastly understudied. N6-methyladenosine (m6A) RNA methylation is significantly enriched in the brain and involved in learning, memory, and reward. m6A modifications have not been studied in opioid use disorder, despite being the most common RNA modification. We detected significant regulation of m6A-modifying enzymes in rat primary cortical cultures following morphine treatment, including AlkB Homolog 5 (Alkbh5). The m6a demethylase ALKBH5 functions as an m6A eraser, removing m6A modifications from mRNA. We hypothesized that chronic opioid treatment regulates m6A modifications through modulation of Alkbh5 and profiled m6A modifications in primary cortical cultures following chronic morphine treatment and Alkbh5 knock-down. We observed differential regulation of m6A modifications for a common set of transcripts following morphine or Alkbh5 knock-down, and the two treatments elicited concordant m6A epitranscriptomic profiles, suggesting that a subset of morphine-driven m6A modifications may be mediated through downregulation of Alkbh5 in cortical cultures. Gene Ontology terms of commonly regulated transcripts included serotonin secretion, synapse disassembly, neuron remodeling, and immune response. Thus, we conclude that morphine can drive epitranscriptomic changes, a subset of which may occur in an Alkbh5-dependent manner.

National Trends in Orthopaedic Pain Management from 2016 to 2020

INTRODUCTION

Effective pain management is vital in orthopaedic care, impacting postoperative recovery and patient well-being. This study aimed to discern national and regional pain prescription trends among orthopaedic surgeons through Medicare claims data, using geospatial analysis to ascertain opioid and nonopioid usage patterns across the United States.

METHODS

Physician-level Medicare prescription databases from 2016 to 2020 were filtered to orthopaedic surgeons, and medications were categorized into opioids, muscle relaxants, anticonvulsants, and NSAIDs. Patient demographics were extracted from a Medicare provider demographic data set, while county-level socioeconomic metrics were obtained primarily from the American Community Survey. Geospatial analysis was conducted using Geoda software, using Moran I statistic for cluster analysis of pain medication metrics. Statistical trends were analyzed using linear regression, Mann-Whitney U test, and multivariate logistic regression, focusing on prescribing rates and hotspot/coldspot identification.

RESULTS

Analysis encompassed 16,505 orthopaedic surgeons, documenting more than 396 million days of pain medication prescriptions: 57.42% NSAIDs, 28.57% opioids, 9.84% anticonvulsants, and 4.17% muscle relaxants. Annually, opioid prescriptions declined by 4.43% ( P < 0.01), while NSAIDs rose by 3.29% ( P < 0.01). Opioid prescriptions dropped by 210.73 days yearly per surgeon ( P < 0.005), whereas NSAIDs increased by 148.86 days ( P < 0.005). Opioid prescriptions were most prevalent in the West Coast and Northern Midwest regions, and NSAID prescriptions were most prevalent in the Northeast and South regions. Regression pinpointed spine as the highest and hand as the lowest predictor for pain prescriptions.

DISCUSSION

On average, orthopaedic surgeons markedly decreased both the percentage of patients receiving opioids and the duration of prescription. Simultaneously, the fraction of patients receiving NSAIDs dramatically increased, without change in the average duration of prescription. Opioid hotspots were located in the West Coast, Utah, Colorado, Arizona, Idaho, the Northern Midwest, Vermont, New Hampshire, and Maine. Future directions could include similar examinations using non-Medicare databases.

Simulated impact of medicaid expansion on the economic burden of opioid use disorder in North Carolina

BACKGROUND

Opioid use disorder (OUD) imposes significant costs on state and local governments. Medicaid expansion may lead to a reduction in the cost burden of OUD to the state.

METHODS

We estimated the health care, criminal justice and child welfare costs, and tax revenue losses, attributable to OUD and borne by the state of North Carolina in 2022, and then estimated changes in the same domains following Medicaid expansion in North Carolina (adopted in December 2023). Analyses used existing literature on the national and state-level costs attributable to OUD to estimate individual-level health care, criminal justice, and child welfare system costs, and lost tax revenues. We combined Individual-level costs and prevalence estimates to estimate costs borne by the state before Medicaid expansion. Changes in costs after expansion were computed based on a) medication for opioid use disorder (MOUD) access for new enrollees and b) shifting of responsibility for some health care costs from the state to the federal government. Monte Carlo simulation accounted for the impact of parameter uncertainty. Dollar estimates are from the 2022 price year, and costs following the first year were discounted at 3 %.

RESULTS

In 2022, North Carolina incurred costs of $749 million (95 % credible interval [CI]: $305 M-$1,526 M) associated with OUD (53 % in health care, 36 % in criminal justice, 7 % in lost tax revenue, and 4 % in child welfare costs). Expanding Medicaid lowered the cost burden of OUD incurred by the state. The state was predicted to save an estimated $72 million per year (95 % CI: $6 M-$241 M) for the first two years and $30 million per year (95 % CI: -$28 M-$176 M) in subsequent years. Over five years, savings totaled $224 million (95 % CI: -$47 M-$949 M).

CONCLUSION

Medicaid expansion has the potential to decrease the burden of OUD in North Carolina, and policymakers should expedite its implementation.

The effect of cannabinoids on single-level lumbar arthrodesis outcomes in a rat model

BACKGROUND CONTEXT

The opioid epidemic is a public health crisis affecting spine care and pain management. Medical marijuana is a potential non-opioid analgesic yet to be studied in the surgical setting since its effects on bone healing are not fully understood. Studies have demonstrated analgesic and potentially osteoinductive properties of cannabinoids with endocannabinoid receptor expression in bone tissue.

PURPOSE

We hypothesize that tetrahydrocannabinol (THC) and cannabidiol (CBD) will not decrease bone healing in spinal fusion.

STUDY DESIGN

Seventy-eight adult Sprague-Dawley rats were used for this study. Utilizing allogenic bone grafts (6 donor rats), posterolateral inter-transverse lumbar fusion at the L4-L5 level was performed. The animals were equally divided into four treatment groups, each receiving 0.1 ml intraperitoneal injections weekly as follows: placebo (saline), 5 mg/kg THC, 5 mg/kg CBD, and a combination of 5 mg/kg THC and 5mg/kg CBD (Combo).

METHODS

Callus tissue was harvested 2- and 8-weeks post-surgery for qPCR assessment to quantify changes in the expression of osteogenic genes. Manual palpation was done to assess the strength of the L4-L5 arthrodesis on all rats. μCT image-based callus analysis and histology were performed. One-way ANOVA followed by post hoc comparisons was performed.

RESULTS

μCT demonstrated no significant differences. Treatment groups had slightly increased bone volume and density compared to control. qPCR at two weeks indicated downregulated RANKL/OPG ratios skewing towards osteogenesis in the CBD group, with the THC and CBD+THC groups demonstrating a downward trend (p>.05). ALPL, BMP4, and SOST were significantly higher in the CBD group, with CTNNB1 and RUNX2 also showing an upregulating trend. The CBD group showed elevation in Col1A1 and MMP13. Data at eight weeks showed ALPL, RUNX2, BMP4, and SOST were downregulated for all treatment groups. In the CBD+THC group, RANK, RANKL, and OPG were downregulated. OPG downregulation reached significance for the THC and CBD+THC group compared to saline. Interestingly, the RANKL/OPG ratio showed upregulation in the CBD and CBD+THC groups. RANKL showed upregulation in the CBD group. At 2 and 8 weeks, the CBD treatment group showed superior histological progression, increasing between time points.

CONCLUSION

This study demonstrates that CBD and THC have no adverse effect on bone healing and the rate of spinal fusion in rats. Osteogenic factors were upregulated in the CBD-treated groups at two weeks, which indicates a potential for bone regeneration. In this group, compared to control, the RANKL/OPG ratio at the early healing phase demonstrates the inhibition of osteoclast differentiation, enhancing bone formation. Interestingly, it shows promoted osteoclast differentiation at the later healing phase, enhancing bone remodeling. This aligns with the physiological expectation of a lower ratio in the early phases and a higher ratio in the later remodeling phases.

CLINICAL SIGNIFICANCE

CBD and THC showed no inhibitory effects on bone healing in a spinal fusion model. Moreover, histologic and gene expression analysis demonstrated that CBD may, in fact, enhance bone healing. Further research is needed to confirm the safe usage of THC and CBD in the post-operative setting following spinal fusions.

Unplanned Postoperative Phone Calls and Electronic Messages for Patients With and Without Opioid Prescriptions After Carpal Tunnel Release

Purpose

The purpose of our study was to compare unplanned postoperative patient communication in the form of phone calls and/or electronic patient portal messages (EPPM) after carpal tunnel release (CTR) for patients with and without a postoperative opioid prescription.

Methods

We identified all patients ≥18 years of age who underwent primary CTR between 2017 and 2022 without an opioid ordered within 90 days prior to surgery. The following two groups were created: cases with and without an opioid prescribed on the day of surgery. We recorded baseline demographics for all patients and recorded all unplanned communication (phone calls and EPPM) sent from a patient to the surgeon's office within 14 days after surgery. Unadjusted associations between unplanned communication and case characteristics were evaluated. Multiple logistic regression models were used to assess the relationship between opioid status and unplanned communication.

Results

A total of 5,735 CTRs were included, and 54% of the patients were prescribed an opioid on the day of surgery. Forty-two percent of cases had unplanned postoperative communication, and 48.1% of cases, without an opioid prescription, had unplanned communication compared with 36.8% in the opioid group. Patients who were prescribed opioids were 0.62 times less likely to contact the surgeon's office via phone calls or EPPM (95% confidence interval [CI]: 0.56, 0.70). Increased age was associated with a reduction in the odds of unplanned contact (odds ratios [OR] = 0.95, 95% CI: 0.93, 0.97), whereas higher body mass index was significantly associated with increased communication (OR = 1.05, 95% CI: 1.01, 1.09).

Conclusions

Patients prescribed opioids after CTR are 0.62 times less likely to contact the surgeon's office after surgery. Considering the 11% increase in unplanned postoperative communication after CTR, surgeons should consider alternative methods that have previously been demonstrated to reduce opioid consumption.

Type of study/level of evidence

Prognostic II.

Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose

BACKGROUND

This systematic review summarizes the development, accuracy, quality, and clinical utility of predictive models to assess the risk of opioid use disorder (OUD), persistent opioid use, and opioid overdose.

METHODS

In accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines, 8 electronic databases were searched for studies on predictive models and OUD, overdose, or persistent use in adults until June 25, 2023. Study selection and data extraction were completed independently by 2 reviewers. Risk of bias of included studies was assessed independently by 2 reviewers using the Prediction model Risk of Bias ASsessment Tool (PROBAST).

RESULTS

The literature search yielded 3130 reports; after removing 199 duplicates, excluding 2685 studies after abstract review, and excluding 204 studies after full-text review, the final sample consisted of 41 studies that developed more than 160 predictive models. Primary outcomes included opioid overdose (31.6% of studies), OUD (41.4%), and persistent opioid use (17%). The most common modeling approach was regression modeling, and the most common predictors included age, sex, mental health diagnosis history, and substance use disorder history. Most studies reported model performance via the c statistic, ranging from 0.507 to 0.959; gradient boosting tree models and neural network models performed well in the context of their own study. One study deployed a model in real time. Risk of bias was predominantly high; concerns regarding applicability were predominantly low.

CONCLUSIONS

Models to predict opioid-related risks are developed using diverse data sources and predictors, with a wide and heterogenous range of accuracy metrics. There is a need for further research to improve their accuracy and implementation.

Stimulator of Interferon Genes Pathway Activation through the Controlled Release of STINGel Mediates Analgesia and Anti-Cancer Effects in Oral Squamous Cell Carcinoma

Oral squamous cell carcinoma (OSCC) presents significant treatment challenges due to its poor survival and intense pain at the primary cancer site. Cancer pain is debilitating, contributes to diminished quality of life, and causes opioid tolerance. The stimulator of interferon genes (STING) agonism has been investigated as an anti-cancer strategy. We have developed STINGel, an extended-release formulation that prolongs the availability of STING agonists, which has demonstrated an enhanced anti-tumor effect in OSCC compared to STING agonist injection. This study investigates the impact of intra-tumoral STINGel on OSCC-induced pain using two separate OSCC models and nociceptive behavioral assays. Intra-tumoral STINGel significantly reduced mechanical allodynia in the orofacial cancer model and alleviated thermal and mechanical hyperalgesia in the hind paw model. To determine the cellular signaling cascade contributing to the antinociceptive effect, we performed an in-depth analysis of immune cell populations via single-cell RNA-seq. We demonstrated an increase in M1-like macrophages and N1-like neutrophils after STINGel treatment. The identified regulatory pathways controlled immune response activation, myeloid cell differentiation, and cytoplasmic translation. Functional pathway analysis demonstrated the suppression of translation at neuron synapses and the negative regulation of neuron projection development in M2-like macrophages after STINGel treatment. Importantly, STINGel treatment upregulated TGF-β pathway signaling between various cell populations and peripheral nervous system (PNS) macrophages and enhanced TGF-β signaling within the PNS itself. Overall, this study sheds light on the mechanisms underlying STINGel-mediated antinociception and anti-tumorigenic impact.

Patient Activation of Persons With Opioid Use Disorder in Intensive Outpatient Treatment

BACKGROUND

High patient activation is associated with a variety of positive health outcomes. Although increasing patient activation in persons with opioid use disorder (OUD) in intensive outpatient treatment (IOT) programs may increase engagement and improve outcomes, little is known about how patient activation is manifested in these programs.

AIMS

To describe types of instances in which persons play an active role in their IOT or show self-determination in their recovery generally (patient activation) and types of instances in which they play a passive role in their IOT or have recovery directed by others (patient nonactivation).

METHODS

A qualitative descriptive study using data from a larger grounded theory study was conducted. Interviews were completed with 14 persons with OUD who attended an IOT program within a large health care system in the Midwest. Content analysis was used to create a typology of instances of patient activation or nonactivation in participants' IOT experiences.

RESULTS

Six types of instances were identified: (1) making and enacting one's own treatment decisions, (2) actively collaborating with staff, (3) self-determining one's disclosure in groups, (4) making a commitment to treatment, (5) taking responsibility for one's recovery, and (6) taking actions to avoid return to use.

CONCLUSIONS

Patient activation is multidimensional and plays a salient role in IOT experiences. IOT staff should engage patients as active participants in their treatment and encourage mutual goal-setting and shared-decision but should be aware that some approaches used too early in treatment may impede recovery.

The Feasibility of Using the National PulsePoint Cardiopulmonary Resuscitation Responder Network to Facilitate Overdose Education and Naloxone Distribution: Protocol for a Randomized Controlled Trial

BACKGROUND

The use of naloxone, an opioid antagonist, is a critical component of the US response to fatal opioid-involved overdoses. The importance and utility of naloxone in preventing fatal overdoses have been widely declaimed by medical associations and government officials and are supported by strong research evidence. Still, there are gaps in the current US national strategy because many opioid-involved overdose fatalities have no evidence of naloxone administration. Improving the likelihood that naloxone will be used to prevent fatal overdoses is predicated on facilitating an environment wherein naloxone is available near each overdose and can be accessed by someone who is willing and able to use it. How to accomplish this on a national scale has been unclear. However, there exists a national network of >1 million cardiopulmonary resuscitation (CPR) layperson responders and 4800 emergency responder agencies linked through a mobile phone app called PulsePoint Respond. PulsePoint responders certify that they are trained to administer CPR and are willing to respond to possible cardiac events in public. When such an event occurs near their mobile phone's location, they receive an alert to respond. These motivated citizens are ideally positioned to carry naloxone and reverse overdoses that occur in public.

OBJECTIVE

This randomized controlled trial will examine the feasibility of recruiting first responder agencies and layperson CPR responders who already use PulsePoint to obtain overdose education and carry naloxone.

METHODS

This will be a 3-arm parallel-group randomized controlled trial. We will randomly select 180 first responder agencies from the population of agencies contracting with the PulsePoint Foundation. The 3 study arms will include a standard recruitment arm, a misperception-correction recruitment arm, and a control arm (1:1:1 allocation, with random allocation stratified by zip code designation [rural or nonrural]). We will study agency recruitment and, among the agencies we successfully recruit, responder certification of receiving overdose and naloxone education, carrying naloxone, or both. Hypothesis 1 contrasts agency recruitment success between arms 1 and 2, and hypothesis 2 contrasts the ratios of layperson certification across all 3 arms. The primary analyses will be a logistic regression comparing the recruitment rates among the arms, adjusting for rural or nonrural zip code designation.

RESULTS

This study was reviewed by the Indiana University Institutional Review Board (20218 and 20219). This project was funded beginning September 14, 2023, by the National Institute on Drug Abuse.

CONCLUSIONS

The hypotheses in this study will test whether a specific type of messaging is particularly effective in recruiting agencies and layperson responders. Although we hypothesize that arm 2 will outperform the other arms, our intention is to use the best-performing approach in the next phase of this study if any of our approaches demonstrates feasibility.

TRIAL REGISTRATION

OSF Registries osf.io/egn3z; https://osf.io/egn3z.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/57280.

Amelioration of Anxiety Associated with Opioid Withdrawal by Activation of Spinal Mechanoreceptors Via Novel Heterodyned Whole Body Vibration

Objectives

Opioid use disorder (OUD)-associated overdose deaths have reached epidemic proportions worldwide. An important driving force for relapse is anxiety associated with opioid withdrawal. We hypothesized that our new technology, termed heterodyned whole-body vibration (HWBV) would ameliorate anxiety associated with OUD.

Methods

Using a randomized, placebo (sham)-controlled, double-blind study design in an NIH-sponsored Phase 1 trial, we evaluated 60 male and 26 female participants diagnosed with OUD and undergoing treatment at pain and rehabilitation clinics. We utilized the Hamilton Anxiety Scale (HAM-A) and a daily visual analog scale anxiety rating (1-10) to evaluate anxiety. Subjects were treated for 10 min 5X/week for 4 weeks with either sham vibration (no interferential beat or harmonics) or HWBV (beats and harmonics). The participants also completed a neuropsychological test battery at intake and discharge.

Results

In OUD subjects with moderate anxiety, there was a significant improvement in daily anxiety scores in the HWBV group compared to the sham treatment group (p=3.41 × 10-7). HAM-A scores in OUD participants at intake showed moderate levels of anxiety in OUD participants (HWBV group: 15.9 ± 1.6; Sham group: 17.8 ± 1.6) and progressively improved in both groups at discharge, but improvement was greater in the HWBV group (p=1.37 × 10-3). Furthermore, three indices of neuropsychological testing (mental rotations, spatial planning, and response inhibition) were significantly improved by HWBV treatment.

Conclusions

These findings support HWBV as a novel, non-invasive, non-pharmacological treatment for anxiety associated with OUD.

Opioid Prescription and Long-Term Survival Outcomes in Adults: A Nationwide Cohort Study in Korea

BACKGROUND

We aimed to investigate the association between short- and long-term opioid use and long-term mortality in Korea.

METHODS

In this population-based retrospective cohort study, data were obtained from the National Health Insurance Service of South Korea. The study included all adult individuals who were prescribed opioids in 2016. The control group comprised adults not prescribed opioids in 2016 selected using a 1:1 stratified random sampling technique. Participants were categorized into three groups: non-user, opioid 1-89 days user (short-term), and opioid ≥ 90 days user (long-term) groups. The primary endpoint in this study was 5-year all-cause mortality, evaluated from January 1, 2017 to December 31, 2021.

RESULTS

In total, 4,556,606 adults were included in this study. Of these, 2,070,039 were prescribed opioids at least once. Specifically, 1,592,883 adult individuals were prescribed opioids for 1-89 days, while 477,156 adults were prescribed opioid for ≥ 90 days. In the multivariable Cox regression modelling, the opioid user group had a 28% (hazard ratio [HR], 1.28; 95% confidence interval [95% CI], 1.26-1.29; P < 0.001) higher risk of 5-year all-cause mortality than had the non-user group. Moreover, the opioid 1-89 days and opioid ≥ 90 days user groups had 15% (HR, 1.15; 95% CI, 1.14-1.17; P < 0.001) and 49% (HR, 1.49; 95% CI, 1.47-1.51; P < 0.001) higher risks of 5-year all-cause mortality than had the non-user group, respectively.

CONCLUSION

Both short and long-term opioid prescriptions were associated with increased long-term mortality among the Korean adult population.

Productivity Loss Among Opioid and Benzodiazepine Users in the United States: A Medical Expenditure Panel Survey From 2010 to 2019

OBJECTIVE

The aim of the study is to estimate the association between productivity losses and the use of prescription opioids and benzodiazepines among employed US adults with painful conditions.

METHODS

Using Medical Expenditures Panel Survey (2010-2019), we used two-part (logistic regression and generalized linear model with zero-truncated negative binomial link) model to compare missed workdays due to illness or injury among employed adults with a painful condition.

RESULTS

Of the eligible sample of 57,413 working US individuals, 14.65% were prescription opioid users, 2.95% were benzodiazepine users, and 1.59% were both opioid and benzodiazepine users. The predicted missed workdays were 5.75 (95% Confidence Limit [CL]: 5.58-5.92) days for benzodiazepine users, 13.06 (95% CL: 12.88-13.23) days among opioid users, and 15.18 (95% CL: 14.46-15.90) days for opioid and benzodiazepine concomitant users.

CONCLUSIONS

Concomitant use of prescription opioids and benzodiazepines was significantly associated with having more missed workdays among employed adults with documented painful conditions.

Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008-2020): Analysis of a Nationwide Claims Database

BACKGROUND

Healthy life expectancy is a well-recognized indicator for establishing health policy goals used in Korea's Health Plan. This study aimed to explore Koreans' healthy life expectancy and its gender, income, and regional disparities from 2008 to 2020.

METHODS

This study was conducted on the entire population covered by health insurance and medical aid program in Korea. The incidence-based "years lived with disability" for 260 disease groups by gender, income level, and region was calculated employing the methodology developed in the Korean National Burden of Disease Study, and it was used as the number of healthy years lost to calculate health-adjusted life expectancy (HALE).

RESULTS

Koreans' HALE increased from 68.89 years in 2008 to 71.82 years in 2020. Although the gender disparity in HALE had been decreasing, it increased to 4.55 years in 2020. As of 2020, 5.90 years out of 8.67 years of the income disparity (Q5-Q1) in HALE were due to the disparity between Q1 and Q2, the low-income groups. Income and regional disparities in HALE exhibited an increasing trend, and these disparities were higher in men than in women.

CONCLUSION

A subgroup with a low health level was identified through the HALE results, and it was confirmed that improving the health level of this population can reduce health inequalities and improve health at the national level. Further exploration of the HALE calculation methodology may help in the development of effective policies such as prioritizing interventions for health risk factors.

Virtual agents among participants with methamphetamine use disorders: Acceptability and usability study

INTRODUCTION

While the potential future role of virtual agents (VAs) in treating addiction is promising, participants' attitudes toward the use of VAs in psychotherapy remain insufficiently investigated. This lack of investigation could pose barriers to the adoption of VA-led psychotherapy for people with substance use disorders (SUD). This research aims to explore the acceptability and usability of VAs for people with methamphetamine use disorder.

METHODS

Following a single session of psychotherapy led by VAs through the Echo-app, a group of 49 individuals actively seeking treatment for current DSM-V substance dependence (with a mean age of 39.06 ± 8.02) completed self-administered questionnaires and participated in focus group interviews. These questionnaires aimed to investigate participants' preference regarding the type of psychotherapy and their willingness to engage in VA-led psychotherapy, taking into account their diverse psychological needs.

RESULTS

Quantitative data were subjected to analysis through both descriptive and inferential statistical methods. Interestingly, participants exhibited a significantly higher acceptability for traditional face-to-face psychotherapy compared to email-based psychotherapy (p = 0.042), but there was no statistically significant difference between their acceptance of traditional psychotherapy and VA-led psychotherapy (p = 0.059). The questionnaire outcomes indicated participants' willingness to engage in VA-led psychotherapy for purposes such as relapse prevention intervention, addressing emotional issues, managing somatic experiences, and facilitating social and family functional recovery. Furthermore, the participants' attitudes toward VA-led psychotherapy were predicted by factors including the need for anxiety-focused psychotherapy (p = 0.027; OR [95%CI] = 0.14[0.03,0.80]), the presence of chronic somatic diseases (p = 0.017; OR [95%CI] = 13.58[1.59,116.03]), and marital status (p = 0.031; OR [95%CI] = 5.02[1.16,21.79]).

DISCUSSION

Through the interviews, the study uncovered the factors that either supported or hindered participants' experiences with VA-led psychotherapy, while also gathering suggestions for future improvements. This research highlights the willingness and practicality of individuals with SUD in embracing VA-led psychotherapy. The findings are anticipated to contribute to the refinement of VA-led tools to better align with the preferences and needs of the users.

Naloxone-AuNPs@ZIF-8-Based Impedimetric Sensor Platform for Ultrasensitive Detection of Fentanyl and Fabrication of Fen-Track Prototype for Real-Field Analysis

Opioids are considered to be a global threat, and we are facing the worst opioid crisis of the decade. Synthetic opioids like fentanyl are highly potent and deadly toward human body, and hence its detection is an inevitable requirement globally. Naloxone is known for its antagonist property toward fentanyl, and we performed computational simulations to find their interactions and use this principle to build the first of a kind impedimetric sensor device, transduced by 3D-ZIF-8 with in situ encapsulated naloxone-gold nanoparticles. The probe is synthesized using a unique encapsulation strategy, thoroughly characterized by various physicochemical and microscopic tools. The sensor is highly selective toward fentanyl and can detect fentanyl up to 100 ppm in a synthetic sample. A prototype device is also built based on the synthetic calibration and applied to the spiked urine sample, and the performance is evaluated using statistical and machine learning tools.

Risk Factors for Opioid Misuse, Abuse, and Dependence Among Pain Clinic Patients: A Cross-Sectional Study at King Khalid University Hospital during 2020

BACKGROUND Physicians are faced with the risk of patients developing opioid use disorders (OUDs) when prescribing patients opioids for long periods of time. Therefore, it is highly recommended to continuously monitor and evaluate long-term non-cancer pain patients who are prescribed opioids. This study aims to estimate the prevalence of OUDs in 103 patients with active opioid prescriptions attending the Pain Clinic at King Khalid University Hospital. MATERIAL AND METHODS A cross-sectional study was conducted at King Khalid University Hospital's pain clinic from 2020 to 2022. A list of all patients attending the Pain Clinic with an opioid prescription was provided by the hospital. Through telephone interviews, consent was secured followed by the collection of demographic variables and prescription-related variables. Additionally, patients were asked to complete the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST 3.1) opioid questionnaire. RESULTS Most of the 103 patients were at moderate risk for abuse (91.3%), while a smaller percentage were at high risk (dependence) (5.8%) and low risk (misuse) (2.9%). Tramadol was the most-prescribed opioid (43.7%). Young age (<50) (Z=2.534; P=0.011), opioid use for more than 90 days (Z=2.788; P=0.005), and the prescription of tramadol (Z=4.124; P<0.001) were associated with higher risk of OCDs. CONCLUSIONS Younger patients, opioid use >90 days, and tramadol are associated with a higher risk of opioid misuse. However, further studies on a larger scale and in various settings are needed to provide evidence accurately reflecting the general population, as this study focused on the population of pain clinic attendees.

Short-term healthcare resource utilization associated with receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users

OBJECTIVE

To evaluate the impact of recent changes to the Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day threshold recommendations on healthcare utilization.

DESIGN

A retrospective cohort study of new chronic opioid users (NCOUs).

SETTING

Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new use between January 2014 and March 2015.

PATIENTS

NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid -prescription.

INTERVENTIONS

NCOU categorized by the CDC three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90).

MAIN OUTCOME MEASURES

Multivariable logistic regression was used to calculate adjusted odds of incurring an acute care encounter (ACE) (all-cause and opioid-related) between the thresholds (adjusted odds, 95 percent confidence interval).

RESULTS

In adjusted analyses, when compared to low threshold, there was no difference in the odds of all-cause ACE across the medium (1.01, 0.94-1.28) and high (1.01, 0.84-1.22) thresholds. When compared to low threshold, a statistically insignificant increase was observed when evaluating opioid-related ACE among medium (1.86, 0.86-4.02) and high (1.51, 0.65-3.52) thresholds.

CONCLUSIONS

There was no difference in odds of an all-cause or opioid-related ACE associated with the thresholds. Early-intervention programs and policies exploring reduction of MME/day among NCOUs may not result in short-term reduction in all-cause or opioid-related ACEs. Further assessment of potential long-term reduction in ACEs among this cohort may be insightful.

Machine Learning Algorithms Predict Long-Term Postoperative Opioid Misuse: A Systematic Review

INTRODUCTION

A steadily rising opioid pandemic has left the US suffering significant social, economic, and health crises. Machine learning (ML) domains have been utilized to predict prolonged postoperative opioid (PPO) use. This systematic review aims to compile all up-to-date studies addressing such algorithms' use in clinical practice.

METHODS

We searched PubMed/MEDLINE, EMBASE, CINAHL, and Web of Science using the keywords "machine learning," "opioid," and "prediction." The results were limited to human studies with full-text availability in English. We included all peer-reviewed journal articles that addressed an ML model to predict PPO use by adult patients.

RESULTS

Fifteen studies were included with a sample size ranging from 381 to 112898, primarily orthopedic-surgery-related. Most authors define a prolonged misuse of opioids if it extends beyond 90 days postoperatively. Input variables ranged from 9 to 23 and were primarily preoperative. Most studies developed and tested at least two algorithms and then enhanced the best-performing model for use retrospectively on electronic medical records. The best-performing models were decision-tree-based boosting algorithms in 5 studies with AUC ranging from .81 to .66 and Brier scores ranging from .073 to .13, followed second by logistic regression classifiers in 5 studies. The topmost contributing variable was preoperative opioid use, followed by depression and antidepressant use, age, and use of instrumentation.

CONCLUSIONS

ML algorithms have demonstrated promising potential as a decision-supportive tool in predicting prolonged opioid use in post-surgical patients. Further validation studies would allow for their confident incorporation into daily clinical practice.

O-Know Opioid Knowledge Test: Development and Psychometric Testing in a Community Setting

Given the various sources and consequences of opioid use disorder (OUD) stigma, the mechanisms by which stigma occurs becomes more important. Educational deficits regarding OUD as a disease and treatment influence OUD stigma. The purpose of the study was to develop, pilot test and psychometrically evaluate the Opioid-Knowledge (O-Know) test in a community setting. A social media strategy was used to recruit 294 participants, in 2019, from a midwestern region experiencing an HIV epidemic, stemming from opioid and injection drug use. The Factor analysis used a tetrachoric correlation matrix, with principal axis factor extraction and Promax rotation. Horn's parallel analysis supported the factorial validity of a two-factor model representing OUD as a Disease (Cronbach's alpha = .57) and OUD Treatment and Recovery (Cronbach's alpha = .62). The reliability estimates were deemed adequate given the intended group-level uses for the instrument. Convergent construct validity was partially supported via the OUD Treatment and Recovery factor's negative correlation with personal opioid stigmatization (B = -.29, p =.001). OUD research must produce measures that convert observations to empirical generalizations. The psychometric analysis of the O-Know scale demonstrated progress in reducing measurement error to facilitate that conversion.

Effect of Multidisciplinary Transitional Pain Service on Health Care Use and Costs Following Orthopedic Surgery

Background

Opioid use disorder is a significant cause of morbidity, mortality, and health care costs. A transitional pain service (TPS) approach to perioperative pain management has been shown to reduce opioid use among patients undergoing orthopedic joint surgery. However, whether TPS also leads to lower health care use and costs is unknown.

Methods

We designed this study to estimate the effect of TPS implementation relative to standard care on health care use and associated costs of care following orthopedic surgery. We evaluated postoperative health care use and costs for patients who underwent orthopedic joint surgery at 6 US Department of Veterans Affairs medical centers (VAMCs) between 2018 and 2019 using difference-in-differences analysis. Patients enrolled in the TPS at the Salt Lake City VAMC were matched to control patients undergoing the same surgeries at 5 different VAMCs without a TPS. We stratified patients based on history of preoperative opioid use into chronic opioid use (COU) and nonopioid use (NOU) groups and analyzed them separately.

Results

For NOU patients, TPS was associated with a mean increase in the number of outpatient visits (6.9 visits; P < .001), no change in outpatient costs, and a mean decrease in inpatient costs (-$12,170; P = .02) during the 1-year follow-up period. TPS was not found to increase health care use or costs for COU patients.

Conclusions

Although TPS led to an increase in outpatient visits for NOU patients, there was no increase in outpatient costs and a decrease in inpatient costs after orthopedic surgery. Further, there was no added cost for managing COU patients with a TPS. These findings suggest that TPS can be implemented to reduce opioid use following joint surgery without increasing health care costs.

Investigating the safety and efficacy of nerve stimulation for management of groin pain after surgical herniorrhaphy: a systematic review and meta-analysis

PURPOSE

Chronic post-operative inguinal pain (CPIP) following inguinal hernia repair has been a major sequela affecting 4000-48000 patients annually. Optimal management of CPIP has been a challenge, and pharmacological management particularly with opioids has shown unsatisfactory results. The main objective of this systematic review is to investigate the safety and efficacy of neuromodulation as an alternative intervention for the management of post-operative inguinal pain.

METHODS

A literature search was conducted by three reviewers to identify all relevant studies on the use of neuromodulatory interventions for treating post-operative inguinal pain. Data on study characteristics, neuromodulatory modalities, and patient's clinical data such as pre/post-interventional pain scores and analgesic requirements were extracted and reported.

RESULTS

A total of 389 patients with 357 (95.9%) males and 15 (4.1%) females were evaluated. The mean age of study participants was 47.9 ± 10.4 years. There were 187 (48.1%) and 202 (51.9%) patients allocated to the control and trial groups, respectively. The most common neuromodulation modality was TENS (4, 36.4%), followed by SCS (3, 27.3%), PNS (3, 27.3%), and acupuncture-assisted (2, 18.2%). The overall mean follow-up duration of the entire cohort was 3.8 months. The mean difference between pre-operative and post-operative VAS scores in the trial groups was 4.65 (95% Confidence Interval [CI], 2.97, 6.33), which was statistically significant (P value < 0.05). Patient-reported outcome measures showed significant responsiveness toward their treatments.

CONCLUSION

Nerve stimulation, in its many forms, is a safe and feasible option for the management of post-operative inguinal pain.

Calcitonin receptor signaling in nucleus accumbens D1R- and D2R-expressing medium spiny neurons bidirectionally alters opioid taking in male rats

The high rates of relapse associated with current medications used to treat opioid use disorder (OUD) necessitate research that expands our understanding of the neural mechanisms regulating opioid taking to identify molecular substrates that could be targeted by novel pharmacotherapies to treat OUD. Recent studies show that activation of calcitonin receptors (CTRs) is sufficient to reduce the rewarding effects of addictive drugs in rodents. However, the role of central CTR signaling in opioid-mediated behaviors has not been studied. Here, we used single nuclei RNA sequencing (snRNA-seq), fluorescent in situ hybridization (FISH), and immunohistochemistry (IHC) to characterize cell type-specific patterns of CTR expression in the nucleus accumbens (NAc), a brain region that plays a critical role in voluntary drug taking. Using these approaches, we identified CTRs expressed on D1R- and D2R-expressing medium spiny neurons (MSNs) in the medial shell subregion of the NAc. Interestingly, Calcr transcripts were expressed at higher levels in D2R- versus D1R-expressing MSNs. Cre-dependent viral-mediated miRNA knockdown of CTRs in transgenic male rats was then used to determine the functional significance of endogenous CTR signaling in opioid taking. We discovered that reduced CTR expression specifically in D1R-expressing MSNs potentiated/augmented opioid self-administration. In contrast, reduced CTR expression specifically in D2R-expressing MSNs attenuated opioid self-administration. These findings highlight a novel cell type-specific mechanism by which CTR signaling in the ventral striatum bidirectionally modulates voluntary opioid taking and support future studies aimed at targeting central CTR-expressing circuits to treat OUD.

Cost Savings Associated With Implementing 4 Total Joint Replacement Electronic Clinical Quality Measures Nationally: 2020-2040

BACKGROUND

Digital transformation using widely available electronic data is a key component to improving health outcomes and customer choice and decreasing cost and measurement burden. Despite these benefits, existing information on the potential cost savings from electronic clinical quality measures (eCQMs) is limited.

METHODS

We assessed the costs of implementing 4 eCQMs related to total hip and/or total knee arthroplasty into electronic health record systems across healthcare systems in the United States. We used published literature and technical expert panel consultation to calculate low-, mid-, and high-range hip and knee arthroplasty surgery projections, and used empirical testing, literature, and technical expert panel consultation to develop an economic model to assess projected cost savings of eCQMs when implemented nationally.

RESULTS

Low-, mid-, and high-range projected cost savings for year's 2020, 2030, and 2040 were calculated for 4 orthopedic eCQMs. Mid-range projected cost savings for 2020 ranged from $7.9 to $31.9 million per measure per year. A breakeven of between 0.5% and 5.1% of adverse events (measure dependent) must be averted for cost savings to outweigh implementation costs.

CONCLUSIONS

All measures demonstrated potential cost savings. These findings suggest that eCQMs have the potential to lower healthcare costs and improve patient outcomes without adding to physician documentation burden. The Centers for Medicare and Medicaid Services' investment in eCQMs is an opportunity to reduce adverse outcomes and excess costs in orthopedics.

Variability in Opioid Prescribing Among Plastic Surgery Residents After Bilateral Breast Reduction

BACKGROUND

Prescription opioid misuse in the United States accounts for significant avoidable morbidity and mortality. Over one third of all prescriptions written by surgeons are for opioids. Although opioids continue to provide needed analgesia for surgical patients, there are few guidelines in the plastic surgery literature for their safe and appropriate use after surgery. The consequence is wide variability and excessive opioid prescriptions. Understanding patterns of prescribing among plastic surgery residents is a crucial step toward developing safer practice models for managing postoperative pain.

METHODS

The authors performed a retrospective analysis of discharge opioid prescriptions after bilateral breast reduction at a single academic medical center from 2018 to 2021. Single factor 1-way analysis of variance was used to evaluate prescribing patterns by resident, postgraduate year, attending of record, and patient characteristics for 126 patients. A multivariate analysis was performed to determine the degree to which these factors predicted opioid prescriptions.

RESULTS

This analysis revealed significant variability among residents prescribing opioids after bilateral breast reductions ( P < 0.001) irrespective of patient comorbidities and demographics. Residents were found to be the main predictor of opioid prescriptions after surgery ( P < 0.001) with a greater number of morphine milligram equivalents prescribed by the more junior residents ( P < 0.001).

CONCLUSIONS

Excessive and variable opioid prescriptions among plastic surgery residents highlight the need for opioid prescribing education early in surgical training and improved oversight and communication with attending surgeons. Furthermore, implementation of evidence-based opioid-conscious analgesic protocols after common surgical procedures may improve patient safety by standardizing postoperative analgesic prescriptions.

Framing and Policymaker Evaluations of the Opioid Crisis

Several extremely influential theories, including the multiple streams approach and punctuated equilibrium theory, predict that dramatic policy change occurs when problems are reframed. However, there is little direct evidence of how framing messages influence policymaker attitudes, perceptions, and behaviors. In an online survey of local policymakers in Illinois, we find that different media frames of the opiate epidemic influence policymaker attitudes and attributions of responsibility. We conclude with some implications for framing theory and its role in theories of policymaking.

Relationship between medication adherence for opioid use disorder and health care costs and health care events in a claims dataset

INTRODUCTION

Medication for opioid use disorder (MOUD) has well-documented benefits for treating OUD, though its efficacy depends on patient adherence. We know little about outcomes of MOUD nonadherence compared to treatment regimens without MOUD, and this article aims to address the gap. This analysis focused on office-based MOUD treatment (buprenorphine and naltrexone) to evaluate the long-term impact of adherence on subsequent health care costs and health care events.

METHODS

With claims data from 2017 to 2019, we used propensity score (PS) weighting to create three comparable cohorts of patients: 1) Adherent: filled MOUD prescription & ≧80 % of days covered by MOUD (N = 1045); 2) Nonadherent: filled MOUD & < 80 % of days covered (N = 1116), 3) did not fill MOUD (N = 16,784). The study defined three time intervals based on a patient's most recent MOUD episode: A 6-month baseline period before initiation of MOUD or random index date for those with MOUD; a 6-month treatment period, during which adherence or nonadherence was established; and a 12-month follow-up period to evaluate outcome measures. The study used generalized PS methodology to examine the effect of proportion of days covered (PDC) as a continuous measure of adherence.

RESULTS

Among patients who filled MOUD, adherence to MOUD was significantly predicted by having less severe OUD, being older, having fewer inpatient visits and lower outpatient costs before the start of treatment. Adherent patients displayed significantly lower health care costs in the follow-up period compared to nonadherent MOUD patients, and lower odds of experiencing health care events. The nonadherent MOUD group displayed significantly higher odds of health care events compared to patients who had no evidence of receiving MOUD in claims data (NO-MOUD). Among patients prescribed MOUD, each 10 % increase in PDC was associated with a significant decrease in inpatient/outpatient costs and in odds of health care events.

CONCLUSIONS

This analysis aligns with previous findings about the importance of maintaining long-term adherence to MOUD in supporting patient outcomes. The results also suggest a novel finding that despite confounder control via PS methods, nonadherent patients display poorer outcomes compared to similar NO-MOUD patients.

Opioid use disorder and motivational interviewing: Training physician assistants for the epidemic

OBJECTIVES

(1) To evaluate the effectiveness of a curriculum on physician assistant (PA) students' knowledge about opioid use disorder (OUD) treatment and management and (2) present student satisfaction with the curriculum.

METHODS

Three cohorts of PA students completed pre- and post-intervention questionnaires about their knowledge of motivational interviewing (MI) for OUD. One cohort of students completed the 11-item questionnaire without exposure to the intervention (control group). Students' satisfaction with the curriculum was assessed as was their pre- and post-intervention knowledge about using MI for OUD. Bivariate statistical tests were used to analyze the quantitative data.

RESULTS

Three hundred complete and usable responses were obtained from the four cohorts of PA students (n = 300, 87.7 percent response rate). The intervention groups answered a higher number of items correctly (median = 7) than the control group (median = 6, Wilcoxon sign test M = 31, p < 0.0001). Among the intervention group, there was not a statistically significant between cohort difference on: (1) the number of identical pre- and post-intervention questionnaire items answered correctly (Chi-square = 3.77, DF = 2, p = 0.15), and (2) the total number of items answered correctly on the post-intervention questionnaire (Chi-square = 0.32, DF = 2, p = 0.85). Student comments suggest students were supportive of the curriculum, with improvements noted on how to deliver the material.

CONCLUSIONS

An educational intervention using MI for PA students was found to be valuable, and students who completed the intervention had greater knowledge about using MI with OUD patients than those who did not complete the training. The size of the effect was small, and more research on the curriculum is necessary prior to widespread adoption.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

DISCUSSION AND CONCLUSIONS

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

A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database

The opioid epidemic has become a serious national crisis in the United States. An indepth systematic analysis of opioid-related adverse events (AEs) can clarify the risks presented by opioid exposure, as well as the individual risk profiles of specific opioid drugs and the potential relationships among the opioids. In this study, 92 opioids were identified from the list of all Food and Drug Administration (FDA)-approved drugs, annotated by RxNorm and were classified into 13 opioid groups: buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, oxycodone, oxymorphone, tapentadol, and tramadol. A total of 14,970,399 AE reports were retrieved and downloaded from the FDA Adverse Events Reporting System (FAERS) from 2004, Quarter 1 to 2020, Quarter 3. After data processing, Empirical Bayes Geometric Mean (EBGM) was then applied which identified 3317 pairs of potential risk signals within the 13 opioid groups. Based on these potential safety signals, a comparative analysis was pursued to provide a global overview of opioid-related AEs for all 13 groups of FDA-approved prescription opioids. The top 10 most reported AEs for each opioid class were then presented. Both network analysis and hierarchical clustering analysis were conducted to further explore the relationship between opioids. Results from the network analysis revealed a close association among fentanyl, oxycodone, hydrocodone, and hydromorphone, which shared more than 22 AEs. In addition, much less commonly reported AEs were shared among dihydrocodeine, meperidine, oxymorphone, and tapentadol. On the contrary, the hierarchical clustering analysis further categorized the 13 opioid classes into two groups by comparing the full profiles of presence/absence of AEs. The results of network analysis and hierarchical clustering analysis were not only consistent and cross-validated each other but also provided a better and deeper understanding of the associations and relationships between the 13 opioid groups with respect to their adverse effect profiles.

A Mobile App for Postoperative Pain Management Among Older Veterans Undergoing Total Knee Arthroplasty: Mixed Methods Feasibility and Acceptability Pilot Study

BACKGROUND

Prescription opioid misuse risk is disproportionate among veterans; military veterans wounded in combat misuse prescription opioids at an even higher rate (46.2%). Opioid misuse is costly in terms of morbidity, mortality, and humanitarian and economic burden and costs the Civilian Health and Medical Program of the Department of Veterans Affairs more than US $1.13 billion annually. Preventing opioid misuse at the time of prescription is a critical component in the response to the opioid crisis. The CPMRx mobile app has been shown to decrease the odds of opioid misuse during the postoperative period.

OBJECTIVE

The overarching purpose of this feasibility pilot study was to explore whether deploying a mobile app (CPMRx) to track postoperative pain and medication use is feasible in a Department of Veterans Affairs medical center. In support of this goal, we had four complementary specific aims: (1) determine the technological and logistical feasibility of the mobile app, (2) assess the acceptability of the mobile app to participants, (3) measure demand for and engagement with the mobile app, and (4) explore the potential use of the mobile app to patients and providers.

METHODS

Participants (N=10) were veterans undergoing total knee arthroplasty within the Veterans Health Administration provided with the CPMRx app to self-manage their pain during their 7-day at-home recovery following surgery. CPMRx uses scientifically validated tools to help clinicians understand how a patient can use the least amount of medication while getting the most benefit. The suite of software includes a mobile app for patients that includes a behavioral health intervention and a clinical decision support tool for health care providers that provides feedback about pain and medication use trends. Patients filled out paper questionnaires regarding acceptability at their postoperative follow-up appointment.

RESULTS

Overall, quantitative measures of acceptability were high. The average rating for the amount of time required to use the app was 4.9 of 5 (5="very little"), and the average rating for ease of use was 4.4 of 5 (5="very easy"). Open-ended questions also revealed that most participants found ease of use to be high. Demand and engagement were high as well with a mean number of mobile app entries of 34.1 (SD 20.1) during the postoperative period. There were no reported technological or logistical issues with the mobile app. Participants took an average of 25.13 (SD 14.37) opioid tablets to manage their postoperative pain.

CONCLUSIONS

Results of this study revealed that the use of a mobile app for pain and medication management during postoperative recovery was both feasible and acceptable in older veterans undergoing total knee arthroplasty within the Veterans Health Administration. The wide variation in opioid consumption across participants revealed the potential use of the mobile app to provide actionable insights to clinicians if adopted more widely.

Strategies for Reducing Perioperative Opioid Use in Foot and Ankle Surgery: Education, Risk Identification, and Multimodal Analgesia

There remains a high prevalence and substantial risks of opioid utilization amongst orthopedic patients. The goal of this review is to discuss strategies for responsible opioid use in the perioperative setting following foot and ankle orthopedic surgeries. We will highlight 1) education interventions, 2) risk identification, and 3) non-opioid alternatives for postoperative pain management.

Impact of Enhanced Recovery After Surgery (ERAS) Combined with Bariatric Surgery Targeting Opioid Prescriptions (BSTOP) Protocol on Patient Outcomes, Length of Stay and Opioid Prescription After Bariatric Surgery

BACKGROUND

Evidence shows that 14.2% of opioid-naive patients have long-term opioid dependence after bariatric surgery. Enhanced recovery after surgery (ERAS) protocols are widely used in bariatric surgery, while bariatric surgery targeting opioid prescriptions (BSTOP) protocols were recently introduced. We will investigate the combined impact of ERAS and BSTOP protocols after bariatric surgery.

METHODS

We conducted a retrospective review for patients who underwent either a sleeve gastrectomy or Roux-en-Y gastric bypass at a tertiary care center. Pre-intervention and post-intervention data were compared. Primary outcomes were length of stay (LOS), 30-day readmission, 30-day complications, and discharge on opioids. Multivariate Poisson regression with robust standard error was used to analyze LOS.

RESULTS

There was no significant difference in 30-day emergency room visits (3.3% vs. 4.0%; p value = 0.631), 30-day readmission (4.4% vs. 5.4%; p value = 0.577) or 30-day complication rate (4.2% vs. 6.4%; p value = 0.199). LOS was significantly lower in the post-intervention group; mean (interquartile range) 2 (1-2) days vs. 1 (1-2) day, p value < 0.001. On multivariate analysis, the post-intervention group had 0.74 (95% confidence interval 0.65-0.85; p value < 0.001) times lower LOS as compared to pre-intervention group. Patients with DM had a significantly longer LOS (relative risk: 1.22; p = 0.018). No other covariates were associated with LOS (p value < 0.05 for all). BSTOP analysis found a significant difference between the two groups. Discharge on opioids decreased from 40.6% pre-intervention to 7.1% post-intervention.

CONCLUSION

ERAS and BSTOP protocols reduced length of stay and opioid need at discharge without an increase in complication or readmission rates.

Incidence of opioid use and early postoperative pain intensity after primary unilateral inguinal hernia repair at a single-center specialty hospital

PURPOSE

This research examined opioid use, pain intensity, and pain management after primary unilateral inguinal hernia repair (PUIHR) at a single-center specialty hospital.

METHODS

After research, ethics board approval, and informed consent, pain scores (0-10 numerical rating scale [NRS]) were obtained from survey-based questionnaires administered at the pre- and 3-day postoperative timepoints. Descriptive results are presented as frequency, mean, standard deviation, range, median, and interquartile ranges, as appropriate. Significance tests were conducted to compare participants who did and did not receive opioids after surgery. p-value <0.05 is considered statistically significant. As the standard of care, participants received nonopioid multimodal analgesia (acetaminophen and nonsteroidal anti-inflammatory drugs (NSAIDs)) and opioids, when necessary.

RESULTS

A total of 414 and 331 participants completed the pre- and 3-day postoperative questionnaires, respectively. Out of the 414 participants, 38 (9.2%) received opioids during the postoperative stay. There was no significant difference between pain frequency or mean preoperative NRS pain intensity scores of those who did and did not receive opioids. Mean NRS pain intensity scores on day 3 after surgery were significantly higher for participants who received opioids (3.15±2.08) than those who did not (2.19±1.95), p=0.005.

CONCLUSION

Most participants did not receive opioids after PUIHR and had lower mean postoperative NRS pain intensity scores compared to those who did, most likely reflecting the need for opioids among the latter. Opioids were discontinued by day 3 for all participants who received them. Therefore, for most patients undergoing PUIHR, effective pain control can be achieved with nonopioid multimodal analgesia in the early postoperative period.

A multivariate approach to understanding the genetic overlap between externalizing phenotypes and substance use disorders

Substance use disorders (SUDs) are phenotypically and genetically correlated with each other and with other psychological traits characterized by behavioural under-control, termed externalizing phenotypes. In this study, we used genomic structural equation modelling to explore the shared genetic architecture among six externalizing phenotypes and four SUDs used in two previous multivariate genome-wide association studies of an externalizing and an addiction risk factor, respectively. We first evaluated five confirmatory factor analytic models, including a common factor model, alternative parameterizations of two-factor structures and a bifactor model. We next explored the genetic correlations between factors identified in these models and other relevant psychological traits. Finally, we quantified the degree of polygenic overlap between externalizing and addiction risk using MiXeR. We found that the common and two-factor structures provided the best fit to the data, evidenced by high factor loadings, good factor reliability and no evidence of concerning model characteristics. The two-factor models yielded high genetic correlations between factors (rg s ≥ 0.87), and between the effect sizes of genetic correlations with external traits (rg  ≥ 0.95). Nevertheless, 21 of the 84 correlations with external criteria showed small, significant differences between externalizing and addiction risk factors. MiXer results showed that approximately 81% of influential externalizing variants were shared with addiction risk, whereas addiction risk shared 56% of its influential variants with externalizing. These results suggest that externalizing and addiction genetic risk are largely shared, though both constructs also retain meaningful unshared genetic variance. These results can inform future efforts to identify specific genetic influences on externalizing and SUDs.

Long-term Health Outcomes of New Persistent Opioid Use After Surgery Among Medicare Beneficiaries

OBJECTIVE

We examined long-term health outcomes associated with new persistent opioid use after surgery and hypothesized that patients with new persistent opioid use would have poorer overall health outcomes compared with those who did not develop new persistent opioid use after surgery.

BACKGROUND

New persistent opioid use is a common surgical complication. Long-term opioid use increases risk of mortality, fractures, and falls; however, less is known about health care utilization among older adults with new persistent opioid use after surgical care.

METHODS

We analyzed claims from a 20% national sample of Medicare beneficiaries ≥65 years undergoing surgery between January 1, 2009, and June 30, 2019. We estimated associations between new persistent use and subsequent health events between 6 and 12 months after surgery, including mortality, serious fall/fall-related injury, and respiratory or opioid/pain-related readmission/emergency department (ED) visits using a Cox proportional hazards model to estimate mortality and multivariable logistic regression for the remaining outcomes, adjusting for demographic/clinical characteristics. Our primary outcome was mortality within 6 to 12 months after surgery. Secondary outcomes included falls and readmissions or ED visits (respiratory, pain related/opioid related) within 6 to 12 months after surgery.

RESULTS

Of 229,898 patients, 6874 (3.0%) developed new persistent opioid use. Compared with patients who did not develop new persistent opioid use, patients with new persistent opioid use had a higher risk of mortality (hazard ratio 3.44, CI, 2.99-3.96), falls [adjusted odds ratio (aOR): 1.21, 95% CI, 1.05-1.39], and respiratory-related (aOR: 1.67, 95% CI, 1.49-1.86) or pain-related/opioid-related (aOR: 1.68, 95% CI, 1.55-1.82) readmissions/ED visits.

CONCLUSIONS

New persistent opioid use after surgery is associated with increased mortality and poorer health outcomes after surgery. Although the mechanisms that underlie this risk are not clear, persistent opioid use may also be a marker for greater morbidity requiring more care in the late postoperative period. Increased awareness of individuals at risk for new persistent use after surgery and close follow-up in the late postoperative period is critical to mitigate the harms associated with new persistent use.

An answered call for aid? Cannabinoid clinical framework for the opioid epidemic

BACKGROUND

The opioid crisis continues in full force, as physicians and caregivers are desperate for resources to help patients with opioid use and chronic pain disorders find safer and more accessible non-opioid tools.

MAIN BODY

The purpose of this article is to review the current state of the opioid epidemic; the shifting picture of cannabinoids; and the research, policy, and current events that make opioid risk reduction an urgent public health challenge. The provided table contains an evidence-based clinical framework for the utilization of cannabinoids to treat patients with chronic pain who are dependent on opioids, seeking alternatives to opioids, and tapering opioids.

CONCLUSION

Based on a comprehensive review of the literature and epidemiological evidence to date, cannabinoids stand to be one of the most interesting, safe, and accessible tools available to attenuate the devastation resulting from the misuse and abuse of opioid narcotics. Considering the urgency of the opioid epidemic and broadening of cannabinoid accessibility amidst absent prescribing guidelines, the authors recommend use of this clinical framework in the contexts of both clinical research continuity and patient care.

An Interactive Online Interprofessional Opioid Education Training Using Standardized Patients

Introduction

Opioid pain management is complex and requires a collaborative approach. To prepare health professions students to care for patients who have chronic pain, we developed an interprofessional education (IPE) session for delivery using a virtual platform that featured a standardized patient (SP) interaction.

Methods

The SP case highlighted a patient on opioids for chronic low back pain resulting from a car accident. Despite no improvement in pain or function, the patient continued taking opioids and developed behaviors that could represent opioid misuse. During the synchronous, online session, interprofessional teams of students interviewed an SP and collaborated to develop a holistic care plan to address the patient's pain and potential opioid misuse. The session evaluation included pre- and postsession surveys.

Results

Over 750 students from medicine, pharmacy, nursing, and social work programs participated in the virtual IPE sessions during a single year. Students rated the session positively. Matched survey responses suggested improved confidence in knowledge and skills, and learning through Zoom was rated favorably.

Discussion

We successfully implemented a synchronous online IPE session involving SP interactions that allowed students to practice team-based care of a patient with chronic pain who was taking opioids. Based on the success of this IPE session, including the success of the online delivery model, future IPE sessions will continue virtually.

Does Opioid Use Disorder Matter for Health Care Utilization Among Lung Cancer Patients? Evidence from U.S. Hospitals During 2016-2020

BACKGROUND AND OBJECTIVE: The number of hospitalizations due to opioid use disorders in the USA increased steadily from 62,010 in 1998-2000 to 136,240 in 2015-2016; however, no health care utilization of lung cancer patients with opioid use disorder has been reported. The purpose of this paper is to investigate health care utilization due to opioid use disorder among lung cancer patients and to investigate additional charge status due to this disorder.

METHODS

The National Inpatient Sample of the USA was used to identify lung cancer patients (n = 11,418, weighted n = 557,090) from 2016 to 2020. The characteristics of patient samples, temporal trend of opioid use disorder, and its association with health care utilization measured by hospital charges were thoroughly examined by the multivariate survey linear regression model.

RESULTS

Among 557,090 lung cancer patients, 2.4% had opioid use disorder. The proportion of opioid use disorder among lung cancer patients during the study periods had continuously grown. Hospital charges also continued to increase during the study period and were higher among lung cancer patients with opioid use disorder. Survey linear results showed that opioid use disorder was associated with 12.6% higher hospital charges. Analysis of subgroups revealed that this trend was similar across p < the majority of social groups; however, it was significantly higher among Caucasian individuals (0.001) and self-pay groups (p = 0.035) than among others.

CONCLUSIONS

Research conducted has identified gaps in care in rural and suburban areas and a lack of equal care given to minority and low-income patients. These vulnerable groups access health care less often, are charged more for the care they receive, and often face multiple barriers to treatment. Unless these issues are addressed with a focus on socioeconomic factors, race, and region, the opioid epidemic will continue to negatively decimate these populations.

Medication-assisted treatment 24-hr waiver training for opioid use disorder: Lessons learned

ABSTRACT

This study reports our experience in implementing and evaluating medication-assisted treatment (MAT) training. MAT training includes immersion into practice and integration of treatment for opioid use disorder (OUD). During 2019-2021, MAT training was offered to students in Master of Science in Nursing and Doctor of Nursing Practice programs. Feedback on our training program was obtained through required Substance Abuse and Mental Health Services surveys and focus groups after training sessions to assess the quality of training, materials, instruction, and impact and usefulness of training. In addition, after completion of training, surveys were emailed to those who graduated in 2020 and 2021. Surveys included demographic questions and qualitative responses to assess MAT training quality, clinical application time, and how comfortable graduates felt regarding their knowledge, skills, and attitude toward treatment. Integrating training modules from the beginning of the nursing program over several semesters facilitating students with multiple exposures to training materials and offering clinical experiences solidified students' knowledge into practice. Most students were satisfied with the training and felt the training was effective in integrating new knowledge related to MAT. More importantly, it improved students' negative attitudes toward people with OUD and students' desire to pursue being an OUD MAT provider after graduation. The continued assessment and curriculum development of MAT training in nursing programs is crucial in fighting the opioid overdose epidemic. This expansion in interested MAT providers may contribute to improving access for underserved patients seeking MAT treatment with an increase in available providers.

Stressful Life Events and Patterns of Polysubstance Use Among U.S. Late Middle-Aged and Older Adults: A Latent Class Analysis

The goals of this study were to identify patterns of polysubstance use and their associations with stressful life events among U.S. late middle-aged and older adults and examine whether gender moderates these associations. Adults aged 50 and older (N = 14,738) from the National Epidemiological Survey on Alcohol and Related Conditions-III were included. Latent class analysis was conducted to identify patterns of polysubstance use. Weighted multinomial logistic regression was estimated with a generalized structural equation model. Three different polysubstance use patterns (non-users/low substance users; cannabis and excessive alcohol users; painkiller and sedative/tranquilizer misusers) were identified. Higher levels of stressful life events were associated with patterns of polysubstance use. Gender moderated the association between stressful life events and co-misusing painkillers and sedatives/tranquilizers (p < 0.05). Substance use prevention efforts should consider aging adults' patterns of polysubstance use and associated stressful life events when designing and implementing gender-specific polysubstance use prevention interventions.

A multimodal intraosseous infusion of morphine and ketorolac decreases early postoperative pain and opioid consumption following total knee arthroplasty

BACKGROUND

Multimodal pain management regimens and intraosseous infusion of morphine are two novel techniques that show promise in decreasing postoperative pain and opioid consumption following total knee arthroplasty. However, no study has analyzed the intraosseous infusion of a multimodal pain management regimen in this patient population. The purpose of our investigation was to examine the intraosseous administration of a multimodal pain regimen comprised of morphine and ketorolac during total knee arthroplasty with regard to immediate and 2-week postoperative pain, opioid pain medication intake, and nausea levels.

METHODS

In this prospective cohort study with comparisons to a historical control group, 24 patients were prospectively enrolled to receive an intraosseous infusion of morphine and ketorolac dosed according to age-based protocols while undergoing total knee arthroplasty. Immediate and 2-week postoperative Visual Analog Score (VAS) pain scores, opioid pain medication intake, and nausea levels were recorded and compared against a historical control group that received an intraosseous infusion of morphine alone.

RESULTS

During the first four postoperative hours, patients who received the multimodal intraosseous infusion experienced lower VAS pain scores and required less breakthrough intravenous pain medication than those patients in our historical control group. Following this immediate postoperative period, there were no additional differences between groups in terms of pain levels or opioid consumption, and there were no differences in nausea levels between groups at any time.

CONCLUSIONS

Our multimodal intraosseous infusion of morphine and ketorolac dosed according to age-based protocols improved immediate postoperative pain levels and reduced opioid consumption in the immediate postoperative period for patients undergoing total knee arthroplasty.

An analysis of patterns of distribution of buprenorphine in the United States using ARCOS, Medicaid, and Medicare databases

Opioid overdose remains a problem in the United States despite pharmacotherapies, such as buprenorphine, in the treatment of opioid use disorder. This study characterized changes in buprenorphine use. Using the Drug Enforcement Administration's ARCOS, Medicaid, and Medicare claims databases, patterns in buprenorphine usage in the United States from 2018 to 2020 were analyzed by examining percentage changes in total grams distributed and changes in grams per 100 K people in year-to-year usage based on ZIP code and state levels. For ARCOS from 2018 to 2019 and 2019 to 2020, total buprenorphine distribution in grams increased by 16.2% and 12.6%, respectively. South Dakota showed the largest statewide percentage increase in both 2018-2019 (66.1%) and 2019-2020 (36.7%). From 2018 to 2019, the ZIP codes ND-577 (156.4%) and VA-222 (-82.1%) had the largest and smallest percentage changes, respectively. From 2019 to 2020, CA-932 (250.2%) and IL-603 (-36.8%) were the largest and smallest, respectively. In both 2018-2019 and 2019-2020, PA-191 had the second highest increase in grams per 100K while OH-452 was the only ZIP code to remain in the top three largest decreases in grams per 100K in both periods. Among Medicaid patients in 2018, there was a nearly 2000-fold difference in prescriptions per 100k Medicaid enrollees between Kentucky (12 075) and Nebraska (6). Among Medicare enrollees in 2018, family medicine physicians and other primary care providers were the top buprenorphine prescribers. This study not only identified overall increases in buprenorphine availability but also pronounced state-level differences. Such geographic analysis can be used to discern which public policies and regional factors impact buprenorphine access.

e-Delphi Study: Expert Consensus on the Needs and Resources Available to Family Caregivers of Individuals with Substance Use Disorder

Family caregivers of individuals with substance use disorder (SUD) experience a significant burden and have few evidence-based resources available.

To obtain a consensus of expert views on the needs, and resources available, to family caregivers of individuals with SUD given the COVID-19 pandemic and other sociopolitical factors.

Quantitative design using the Classic e-Delphi method of multiple iterations of questioning to reach a consensus among expert panelists. Purposive sampling was used to recruit a multidisciplinary, nationwide panel of SUD experts from professional contacts, professional organization list servers, websites relevant to support groups for family caregivers, flyers, and word of mouth. In round 1 panelists (n = 96) responded to open-ended questions about the support provided to family caregivers, and the additional needs of family caregivers. In subsequent rounds, the panel rated collated responses in terms of agreement (n = 54) and importance (n = 48).

Thematic content analysis identified ten needs in the resources available to family caregivers. Consensus was obtained across thematic categories and the remaining items were ranked according to importance.

Participatory-based SUD research that includes the expertise of healthcare providers, support leaders, and family caregivers is necessary to develop evidence-based interventions to increase caregiver resilience and facilitate coping. Several clear conclusions that address social and structural determinants of health emerged, including the need for increased access to healthcare and community services, more self-care strategies for families, and focused public advocacy to reduce SUD-related stigma.

Republication of "How Will the Foot and Ankle Orthopedic Community Respond to the Growing Opioid Epidemic?"

In the midst of the current opioid crisis, it has become critically important to properly manage opioid-prescribing patterns for the treatment of postoperative pain. There is currently a scarcity of literature specifying prescription and consumption patterns following orthopedic surgery and specifically foot and ankle surgery. Clinical guidelines for postoperative pain management are deficient.

Surgical Opioid Stewardship for Orthopedic Surgery: A Quality Improvement Initiative

The aim of this quality improvement initiative was to reduce unnecessary opioid prescribing by sharing data with prescribers on opioid use by patients. In our study, transition of care clinicians performed follow-up phone calls to select postoperative orthopedic patients to determine opioid use. We implemented a standardized postoperative 7-day opioid wean and designed a dashboard to track the information gathered. We calculated descriptive statistics for continuous and categorical variables. In the initial assessment of opioid use by orthopedic patients, the study consisted of 296 patients with a mean age of 64.8±11.4 years, 147 females (49.7%) and 149 males (50.3%), 59.1% joint replacements (hip, knee, shoulder), and 40.9% spine surgeries (lumbar decompression, cervical fusion, hemilaminectomy). Among those prescribed an opioid, 50% received a prescription for 30 pills or less and 52.4% reported taking more than 80% of the opioid pills, while 35.1% reported taking less than 60%. In the prescribing quality improvement assessment, there were a total of 1547 hospitalizations for joint replacement surgeries from June 2018 to June 2020: 774 (50.0%) hips and 773 (50.0%) knees. There was a significant difference in morphine milligram equivalents per day and quantity prescribed when comparing the preintervention period with the postintervention period without significant increases in opioid refill requests or return visit rates. In our study, sharing data around patient opioid use and provider-facing prescribing metrics reduced postoperative opioid prescribing without significantly increasing opioid refill or emergency department return visit rates. [Orthopedics. 2023;46(4):e230-e236.].

A Highly Sensitive and Specific Photonic Crystal-Based Opioid Sensor with Rapid Regeneration

Opioid misuse and overdose have caused devastating public health challenges and economic burdens, calling for the need of rapid, accurate sensitive opioid sensors. Here, we report a photonic crystal-based opioid sensor in the total internal reflection configuration, providing label-free, rapid, quantitative measurements through change of the refractive index. The one-dimensional photonic crystal with a defect layer that is immobilized with opioid antibodies acts as a resonator with an open microcavity. The highly accessible structure responds to analytes within a minute after the aqueous opioid solution is introduced, achieving the highest sensitivity of 5688.8 nm/refractive index unit (RIU) at the incident angle of 63.03°. Our sensor shows a limit of detection (LOD) of 7 ng/mL for morphine in phosphate-buffered saline (PBS, pH 7.4) solutions, well below the required clinical detection limit, and an LOD of 6 ng/mL for fentanyl in PBS, close to the clinical requirement. The sensor can selectively detect fentanyl from a mixture of morphine and fentanyl and be regenerated in 2 min with up to 93.66% recovery rate after five cycles. The efficacy of our sensor is further validated in artificial interstitial fluid and human urine samples.