Clinical Effectiveness of Decision Support for Prescribing Opioids for Chronic Noncancer Pain: A Prospective Cohort Study

Pain, comorbidities, and clinical decision-making: conceptualization, development, and pilot testing of the Pain in Aging, Educational Assessment of Need instrument

Introduction

Pain is highly prevalent in older adults and often contextualized by multiple clinical conditions (pain comorbidities). Pain comorbidities increase with age and this makes clinical decisions more complex. To address gaps in clinical training and geriatric pain management, we established the Pain in Aging-Educational Assessment of Need (PAEAN) project to appraise the impacts of medical and mental health conditions on clinical decision-making regarding older adults with pain. We here report development and pilot testing of the PAEAN survey instrument to assess clinician perspectives.

Methods

Mixed-methods approaches were used. Scoping review methodology was applied to appraise both research literature and selected Medicare-based data. A geographically and professionally diverse interprofessional advisory panel of experts in pain research, medical education, and geriatrics was formed to advise development of the list of pain comorbidities potentially impacting healthcare professional clinical decision-making. A survey instrument was developed, and pilot tested by diverse licensed healthcare practitioners from 2 institutions. Respondents were asked to rate agreement regarding clinical decision-making impact using a 5-point Likert scale. Items were scored for percent agreement.

Results

Scoping reviews indicated that pain conditions and comorbidities are prevalent in older adults but not universally recognized. We found no research literature directly guiding pain educators in designing pain education modules that mirror older adult clinical complexity. The interprofessional advisory panel identified 26 common clinical conditions for inclusion in the pilot PAEAN instrument. Conditions fell into three main categories: "major medical", i.e., cardio-vascular-pulmonary; metabolic; and neuropsychiatric/age-related. The instrument was pilot tested by surveying clinically active healthcare providers, e.g., physicians, nurse practitioners, who all responded completely. Median survey completion time was less than 3 min.

Conclusion

This study, developing and pilot testing our "Pain in Aging-Educational Assessment of Need" (PAEAN) instrument, suggests that 1) many clinical conditions impact pain clinical decision-making, and 2) surveying healthcare practitioners about the impact of pain comorbidities on clinical decision-making for older adults is highly feasible. Given the challenges intrinsic to safe and effective clinical care of older adults with pain, and attendant risks, together with the paucity of existing relevant work, much more education and research are needed.

Comprehensive Approach to Opioid Management in a Primary Care Network

In response to the opioid epidemic, the Centers for Disease Control and Prevention released best practice recommendations for prescribing, yet adoption of these guidelines has been fragmented and frequently met with uncertainty by both patients and providers. This study aims to describe the development and implementation of a comprehensive approach to improving opioid stewardship in a large network of primary care providers. The authors developed a 3-tier approach to opioid management: (1) establishment and implementation of best practices for prescribing opioids, (2) development of a weaning process to decrease opioid doses when the risk outweighs benefits, and (3) support for patients when opioid use disorders were identified. Across 44 primary care practices caring for >223,000 patients, the total number of patients prescribed a chronic opioid decreased from 4848 patients in 2018 to 3106 patients in 2021, a decrease of 36% (P < 0.001). The percent of patients with a controlled substance agreement increased from 13% to 83% (P < 0.001) and the percent of patients completing an annual urine drug screen increased from 17% to 53% (P < 0.001). The number of patients coprescribed benzodiazepines decreased from 1261 patients at baseline to 834 at completion. A total of 6.5% of patients were referred for additional support from a certified alcohol and substance abuse counselor embedded within the program. Overall, the comprehensive opioid management program provided the necessary structure to support opioid prescribing and resulted in improved adherence to best practices, facilitated weaning of opioids when medically appropriate, and enhanced support for patients with opioid use disorders.

High-risk Prescribing Following Surgery Among Payer Types for Patients on Chronic Opioids

OBJECTIVE

Among those on chronic opioids, to determine whether patients with Medicaid coverage have higher rates of high-risk opioid prescribing following surgery compared with patients on private insurance.

BACKGROUND

Following surgery, patients on chronic opioids experience gaps in transitions of care back to their usual opioid prescriber, but differences by payer type are not well understood. This study aimed to analyze how new high-risk opioid prescribing following surgery compares between Medicaid and private insurance.

METHODS

In this retrospective cohort study through the Michigan Surgical Quality Collaborative, perioperative data from 70 hospitals across Michigan were linked to prescription drug monitoring program data. Patients with either Medicaid or private insurance were compared. The outcome of interest was new high-risk prescribing, defined as a new occurrence of: overlapping opioids or benzodiazepines, multiple prescribers, high daily doses, or long-acting opioids. Data were analyzed using multivariable regressions and a Cox regression model for return to usual prescriber.

RESULTS

Among 1435 patients, 23.6% (95% CI: 20.3%-26.8%) with Medicaid and 22.7% (95% CI: 19.8%-25.6%) with private insurance experienced new, postoperative high-risk prescribing. New multiple prescribers was the greatest contributing factor for both payer types. Medicaid insurance was not associated with higher odds of high-risk prescribing (odds ratio: 1.067, 95% CI: 0.813-1.402).

CONCLUSIONS

Among patients on chronic opioids, new high-risk prescribing following surgery was high across payer types. This highlights the need for future policies to curb high-risk prescribing patterns, particularly in vulnerable populations that are at risk of greater morbidity and mortality.

Patients with glenohumeral arthritis are more likely to be prescribed opioids in the emergency department or urgent care setting

OBJECTIVE

The objective is to quantify the rate of opioid and benzodiazepine prescribing for the diagnosis of shoulder osteoarthritis across a large healthcare system and to describe the impact of a clinical decision support intervention on prescribing patterns.

DESIGN

A prospective observational study.

SETTING

One large healthcare system.

PATIENTS AND PARTICIPANTS

Adult patients presenting with shoulder osteoarthritis.

INTERVENTIONS

A clinical decision support intervention that presents an alert to prescribers when patients meet criteria for increased risk of opioid use disorder.

MAIN OUTCOME MEASURE

The percentage of patients receiving an opioid or benzodiazepine, the percentage who had at least one risk factor for misuse, and the percent of encounters in which the prescribing decision was influenced by the alert were the main outcome measures.

RESULTS

A total of 5,380 outpatient encounters with a diagnosis of shoulder osteoarthritis were included. Twenty-nine percent (n = 1,548) of these encounters resulted in an opioid or benzodiazepine prescription. One-third of those who received a prescription had at least one risk factor for prescription misuse. Patients were more likely to receive opioids from the emergency department or urgent care facilities (40 percent of encounters) compared to outpatient facilities (28 percent) (p < .0001). Forty-four percent of the opioid prescriptions were for "potent opioids" (morphine milliequivalent conversion factor > 1). Of the 612 encounters triggering an alert, the prescribing decision was influenced (modified or not prescribed) in 53 encounters (8.7 percent). All but four (0.65 percent) of these encounters resulted in an opioid prescription.

CONCLUSION

Despite evidence against routine opioid use for osteoarthritis, one-third of patients with a primary diagnosis of glenohumeral osteoarthritis received an opioid prescription. Of those who received a prescription, over one-third had a risk factor for opioid misuse. An electronic clinic decision support tool influenced the prescription in less than 10 percent of encounters.

Examining primary care provider experiences with using a clinical decision support tool for pain management

Objective

To evaluate primary care provider (PCP) experiences using a clinical decision support (CDS) tool over 16 months following a user-centered design process and implementation.

Materials and Methods

We conducted a qualitative evaluation of the Chronic Pain OneSheet (OneSheet), a chronic pain CDS tool. OneSheet provides pain- and opioid-related risks, benefits, and treatment information for patients with chronic pain to PCPs. Using the 5 Rights of CDS framework, we conducted and analyzed semi-structured interviews with 19 PCPs across 2 academic health systems.

Results

PCPs stated that OneSheet mostly contained the right information required to treat patients with chronic pain and was correctly located in the electronic health record. PCPs used OneSheet for distinct subgroups of patients with chronic pain, including patients prescribed opioids, with poorly controlled pain, or new to a provider or clinic. PCPs reported variable workflow integration and selective use of certain OneSheet features driven by their preferences and patient population. PCPs recommended broadening OneSheet access to clinical staff and patients for data entry to address clinician time constraints.

Discussion

Differences in patient subpopulations and workflow preferences had an outsized effect on CDS tool use even when the CDS contained the right information identified in a user-centered design process.

Conclusions

To increase adoption and use, CDS design and implementation processes may benefit from increased tailoring that accommodates variation and dynamics among patients, visits, and providers.

Opioid Prescribing for Chronic Musculoskeletal Conditions: Trends over Time and Implementation of Safe Opioid-Prescribing Practices

OBJECTIVES

This study aimed (1) to determine the impact of a clinical decision support (CDS) tool on rate of opioid prescribing and opioid dose for patients with chronic musculoskeletal conditions and (2) to identify prescriber and facility characteristics associated with adherence to the Centers for Disease Control and Prevention guideline for prescribing opioids for chronic pain in this population.We conducted an interrupted time series analysis to assess trends in percentage of patients from 2016 to 2020, receiving an opioid and the average opioid dose, as well as the change associated with implementation of the CDS toolkit. We conducted a retrospective cohort study to assess the association between prescriber and facility characteristics and safe opioid-prescribing practices.

METHODS

We assessed the impact of the CDS intervention on percent of patients receiving an opioid and average opioid dose (morphine milligram equivalents). We operationalized safe opioid prescribing as a composite score of several behaviors (i.e., prescribing naloxone, initiating a pain agreement, prescribing <90 MME, avoiding extended-release prescriptions for opioid-naïve patients, and avoiding coprescribing opioids and benzodiazepines) and used a hierarchical linear regression model to assess associations between prescriber and facility characteristics and safe opioid prescribing.

RESULTS

This CDS intervention had a modest but statistically significant 1.6% reduction on the percent of patients (n = 1,290,746) receiving an opioid (mean: 15% preintervention; 10% postintervention). The average dose of opioid prescriptions did not significantly change. Advanced practice providers and prescribers with higher percentages of patients aged 18 to 64 exhibited safer opioid prescribing, while prescribers with higher percentages of white patients and larger numbers of patients on opioids exhibited less safe opioid prescribing.

CONCLUSION

A CDS intervention was associated with a small improvement in percent of patients receiving an opioid, but not on average dose. Clinicians are not prescribing opioids for chronic musculoskeletal conditions frequently, when they do, they are generally adhering to guidelines.

Innovative treatment formats, technologies, and clinician trainings that improve access to behavioral pain treatment for youth and adults

Chronic pain is prevalent across the life span and associated with significant individual and societal costs. Behavioral interventions are recommended as the gold-standard, evidence-based interventions for chronic pain, but barriers, such as lack of pain-trained clinicians, poor insurance coverage, and high treatment burden, limit patients' ability to access evidenced-based pain education and treatment resources. Recent advances in technology offer new opportunities to leverage innovative digital formats to overcome these barriers and dramatically increase access to high-quality, evidenced-based pain treatments for youth and adults. This scoping review highlights new advances. First, we describe system-level barriers to the broad dissemination of behavioral pain treatment. Next, we review several promising new pediatric and adult pain education and treatment technology innovations to improve access and scalability of evidence-based behavioral pain treatments. Current challenges and future research and clinical recommendations are offered.

Duloxetine, Gabapentin, and the Risk for Acute Myocardial Infarction, Stroke, and Out-of-Hospital Death in Medicare Beneficiaries With Non-Cancer Pain

OBJECTIVE

Duloxetine is a serotonin-norepinephrine reuptake inhibitor prescribed for musculoskeletal and other forms of chronic pain. Its dual pharmacologic properties have the potential to either raise or lower cardiovascular risk: adrenergic activity may increase the risk for acute myocardial infarction (AMI) and stroke, but antiplatelet activity may decrease risk. Gabapentin is another nonopioid medication used to treat pain, which is not thought to have adrenergic/antiplatelet effects. With the current emphasis on the use of nonopioid medications to treat patients with chronic pain, assessing cardiovascular risks associated with these medications among high-risk patients is important.

MATERIALS AND METHODS

We conducted a retrospective cohort study among a 20% sample of Medicare enrollees, aged 65 to 89, with chronic pain who were new users between 2015 and 2018 of either duloxetine (n = 34,009) or gabapentin (n = 233,060). We excluded individuals with cancer or other life-threatening conditions at study drug initiation. The primary outcome was a composite of AMI, stroke, and out-of-hospital mortality. We adjusted for comorbidity differences with time-dependent inverse probability of treatment weighting.

RESULTS

During 115,668 person-years of follow-up, 2361 patients had the composite primary outcome; the rate among new users of duloxetine was 16.7/1000 person-years compared with new users of gabapentin (21.1/1000 person-years), adjusted hazard ratio = 0.98 (95% CI: 0.83, 1.16). Results were similar for the individual components of the composite outcome as well as in analyses stratified by demographic and clinical characteristics.

DISCUSSION

In summary, cohort Medicare patients with non-cancer pain beginning treatment with duloxetine had rates of AMI, stroke, and out-of-hospital mortality comparable to those who initiated gabapentin.

The Experience of BIPOC Living with Chronic Pain in the USA: Biopsychosocial Factors that Underlie Racial Disparities in Pain Outcomes, Comorbidities, Inequities, and Barriers to Treatment

PURPOSE OF REVIEW

This review synthesizes recent findings related to the biopsychosocial processes that underlie racial disparities in chronic pain, while highlighting opportunities for interventions to reduce disparities in pain treatment among BIPOC.

RECENT FINDINGS

Chronic pain is a prevalent and costly public health concern that disproportionately burdens Black, Indigenous, and people of color (BIPOC). This unequal burden arises from an interplay among biological, psychological, and social factors. Social determinants of health (e.g., income, education level, and lack of access or inability to utilize healthcare services) are known to affect overall health, including chronic pain, and disproportionately affect BIPOC communities. This burden is exacerbated by exposure to psychosocial stressors (i.e., perceived injustice, discrimination, and race-based traumatic stress) and can affect biological systems that modulate pain (i.e., inflammation and pain epigenetics). Further, there are racial/ethnic disparities in pain treatment, perpetuating the cycle of undermanaged chronic pain among BIPOC.

Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients

Opiates used for acute pain are an established risk factor for chronic opioid use (COU). Patient characteristics contribute to progression from acute opioid use to COU, but most are not clinically modifiable. To develop and validate machine-learning algorithms that use claims data to predict progression from acute to COU in the Medicaid population, Adult opioid naïve Medicaid patients from 6 anonymized states who received an opioid prescription between 2015 and 2019 were included. Five machine learning (ML) Models were developed, and model performance assessed by area under the receiver operating characteristic curve (auROC), precision and recall. In the study, 29.9% (53820/180000) of patients transitioned from acute opioid use to COU. Initial opioid prescriptions in COU patients had increased morphine milligram equivalents (MME) (33.2 vs. 23.2), tablets per prescription (45.6 vs. 36.54), longer prescriptions (26.63 vs 24.69 days), and higher proportions of tramadol (16.06% vs. 13.44%) and long acting oxycodone (0.24% vs 0.04%) compared to non- COU patients. The top performing model was XGBoost that achieved average precision of 0.87 and auROC of 0.63 in testing and 0.55 and 0.69 in validation, respectively. Top-ranking prescription-related features in the model included quantity of tablets per prescription, prescription length, and emergency department claims. In this study, the Medicaid population, opioid prescriptions with increased tablet quantity and days supply predict increased risk of progression from acute to COU in opioid-naïve patients. Future research should evaluate the effects of modifying these risk factors on COU incidence.

Impact of a Vendor-Developed Opioid Clinical Decision Support Intervention on Adherence to Prescribing Guidelines, Opioid Prescribing, and Rates of Opioid-Related Encounters

BACKGROUND

 Provider prescribing practices contribute to an excess of opioid-related deaths in the United States. Clinical guidelines exist to assist providers with improving prescribing practices and promoting patient safety. Clinical decision support systems (CDSS) may promote adherence to these guidelines and improve prescribing practices. The aim of this project was to improve opioid guideline adherence, prescribing practices, and rates of opioid-related encounters through the implementation of an opioid CDSS.

METHODS

 A vendor-developed, provider-targeted CDSS package was implemented in a multi-location academic health center. An interrupted time-series analysis was performed, evaluating 30 weeks pre- and post-implementation time periods. Outcomes were derived from vendor-supplied key performance indicators and directly from the electronic health record (EHR) database. Opioid-prescribing outcomes included count of opioid prescriptions, morphine milligram equivalents per prescription, counts of opioids with concurrent benzodiazepines, and counts of short-acting opioids in opioid-naïve patients. Encounter outcomes included rates of encounters for opioid abuse and dependence and rates of encounters for opioid poisoning and overdose. Guideline adherence outcomes included rates of provision of naloxone and documentation of opioid treatment agreements.

RESULTS

 The opioid CDSS generated an average of 1,637 alerts per week. Rates of provision of naloxone and opioid treatment agreements improved after CDSS implementation. Vendor-supplied prescribing outcomes were consistent with prescribing outcomes derived directly from the EHR, but all prescribing and encounter outcomes were unchanged.

CONCLUSION

 A vendor-developed, provider-targeted opioid CDSS did not improve opioid-prescribing practices or rates of opioid-related encounters. The CDSS improved some measures of provider adherence to opioid-prescribing guidelines. Further work is needed to determine the optimal configuration of opioid CDSS so that opioid-prescribing patterns are appropriately modified and encounter outcomes are improved.

Situational Awareness of Opioid Consumption: The Missing Link to Reducing Dependence After Surgery?

A tool for collecting and analyzing morphine milligram equivalents (MMEs) can be used to overcome barriers to situational awareness around opioid utilization in the setting of multimodal pain management. Our software application (App) has facilitated data collection, analysis, and benchmarking in a manner that is not logistically feasible using manual methods. Real-time postoperative tracking of MME over the course of an episode of care can be prohibitively labor-intensive, and teams must have practical strategies to overcome this obstacle. In view of the link between the magnitude of opioid prescriptions at discharge and persistent opioid use after cardiac surgery, we believe that improving situational awareness among the patient care team is a vital first step in reducing opioid dependence after cardiac surgery.

Race, pain, and opioids among patients with chronic pain in a safety-net health system

BACKGROUND

Recent changes in opioid prescribing practices in the US may exacerbate disparities in opioid access among Black compared to White patients.

METHODS

To evaluate racial disparities in opioid prescribing and stewardship, we used baseline data collected from 2017 to 2019 for a longitudinal cohort of patients with chronic non-cancer pain and a history of illicit substance use. Sociodemographic characteristics, pain, psychological distress, substance use, and opioid prescription practices were compared between Black and White participants. We conducted multivariable logistic regression with race as the outcome. We also compared yellow flag events (opioid-related emergency department visits, illicit substances on urine drug screens, provider-documentation of concerning behaviors) by race.

RESULTS

Over half of participants analyzed were Black (57%) and the remainder White (43%). Participants with worse average pain in the past three months (adjusted odds ratio [AOR]:1.29, 95%CI:1.08-1.55, p = 0.006) had higher odds of being Black. Past-year injection drug use (AOR:0.39, 95%CI:0.16-0.94, p = 0.04) and a higher past-year maximum opioid dose (AOR per 10 morphine milligram equivalents (MME):0.99, 95%CI:0.98-1.00, p = 0.006) were associated with lower odds of being Black. We found no differences by race in the use of opioid stewardship measures or discontinuation of opioids based on yellow flag events.

CONCLUSION

Lower past-year maximum MME dose, despite higher average pain and less injection drug use, may represent bias away from prescribing opioids for chronic pain among Black patients. This could be due to unmeasured implicit provider bias or patient-level factors (e.g., utilizing non-opioid pain coping strategies or being less likely to request additional opioids).

High-Dose Spinal Cord Stimulation Reduces Long-Term Pain Medication Use in Patients With Failed Back Surgery Syndrome Who Obtained at Least 50% Pain Intensity and Medication Reduction During a Trial Period: A Registry-Based Cohort Study

OBJECTIVES

High-dose spinal cord stimulation (HD-SCS) revealed positive results for obtaining pain relief in patients with failed back surgery syndrome (FBSS). However, it is less clear whether HD-SCS also is able to reduce pain medication use. The aim of this registry-based cohort study is to explore the impact of HD-SCS on pain medication use in FBSS patients.

MATERIALS AND METHODS

Data from the Discover registry was used in which the effectiveness of HD-SCS was explored in neurostimulation-naïve FBSS patients as well as in rescue patients. All neurostimulation-naïve FBSS patients positively responded to a four-week SCS trial period in which at least 50% pain relief and 50% medication reduction were obtained. Medication use was measured with the Medication Quantification Scale III (MQS) in 259 patients at baseline and at 1, 3, and 12 months of HD-SCS. Additionally, defined daily doses (DDD) and morphine milligram equivalents (MME) were calculated as well.

RESULTS

One hundred thirty patients reached the visit at 12 months. In neurostimulation-naïve patients, a statistically significant decrease in MQS (χ² = 62.92, p < 0.001), DDD (χ² = 11.47, p = 0.009), and MME (χ² = 21.55, p < 0.001) was found. In rescue patients, no statistically significant improvements were found. In both patient groups, statistically significant reductions in the proportion of patients on high-risk MME doses ≥90 were found over time. At the intraindividual level, positive correlations were found between MSQ scores and pain intensity for back (r = 0.56, r = 0.31, p < 0.001) and leg pain (r = 0.61, r = 0.22, p < 0.001) in neurostimulation-naïve and rescue patients, respectively.

CONCLUSIONS

Registry data on HD-SCS in FBSS patients revealed a statistically significant and sustained decrease in pain medication use, not only on opioids, but also on anti-neuropathic agents in neurostimulation-naïve patients, who positively responded to an SCS trial period with at least 50% pain relief and 50% pain medication decrease, but not in rescue patients.

Depression, anxiety, pain and chronic opioid management in primary care: Type II effectiveness-implementation hybrid stepped wedge cluster randomized trial

Even though current prescribing trends reveal that high-dose opioid prescribing and opioid prescribing in general has decreased, sustained efforts are needed to help providers adopt and maintain safe prescribing behaviors. The purpose of this four-year type 2 effectiveness-implementation hybrid stepped wedge cluster randomized trial is to: (1) compare the clinical and cost effectiveness of electronic medical record-based clinical decision support [EMR-CDS] versus additional integrated, collaborative behavioral health [EMR-CDS + BHI-CCM] for opioid management of patients with co-morbid chronic non-cancer pain with depression or anxiety; and (2) examine facilitators and barriers to implementing these interventions within 35 primary care clinics in a integrated delivery health system. The EMR-CDS alerts providers to employ opioid risk mitigation and safe prescribing practices at the point of care. The BHI-CCM consists of primary care embedded community health workers for case management; licensed clinical social workers for cognitive behavioral therapy, and a clinical pharmacist for medication management who provide care management via telemedicine (virtual video or audio only visits) under the guidance of a consulting psychiatrist. The primary outcome is reduction in the percentage of patients with average daily opioid dose ≥50 mg morphine equivalent. Secondary outcomes include changes in service utilization, patient reported outcomes and processes of care. The investigators anticipate that study results will elucidate the role of technology versus care team optimization in changing opioid prescribing behaviors. The investigators further anticipate that integrated mental/behavioral health care will increase value-based care and the efficiency with which guideline concordant care is delivered.