opioids

Importance: Acute low back pain (LBP) is highly prevalent, with a presumed favorable prognosis; however, once chronic, LBP becomes a disabling and expensive condition. Acute to chronic LBP transition rates vary widely owing to absence of standardized operational definitions, and it is unknown whether a standardized prognostic tool (ie, Subgroups for Targeted Treatment Back tool [SBT]) can estimate this transition or whether early non-guideline concordant treatment is associated with the transition to chronic LBP.

Objective: To assess the associations between the transition from acute to chronic LBP with SBT risk strata; demographic, clinical, and practice characteristics; and guideline nonconcordant processes of care.

Design, setting, and participants: This inception cohort study was conducted alongside a multisite, pragmatic cluster randomized trial. Adult patients with acute LBP stratified by SBT risk were enrolled in 77 primary care practices in 4 regions across the United States between May 2016 and June 2018 and followed up for 6 months, with final follow-up completed by March 2019. Data analysis was conducted from January to March 2020.

Exposures: SBT risk strata and early LBP guideline nonconcordant processes of care (eg, receipt of opioids, imaging, and subspecialty referral).

Main outcomes and measures: Transition from acute to chronic LBP at 6 months using the National Institutes of Health Task Force on Research Standards consensus definition of chronic LBP. Patient demographic characteristics, clinical factors, and LBP process of care were obtained via electronic medical records.

Results: Overall, 5233 patients with acute LBP (3029 [58%] women; 4353 [83%] White individuals; mean [SD] age 50.6 [16.9] years; 1788 [34%] low risk; 2152 [41%] medium risk; and 1293 [25%] high risk) were included. Overall transition rate to chronic LBP at six months was 32% (1666 patients). In a multivariable model, SBT risk stratum was positively associated with transition to chronic LBP (eg, high-risk vs low-risk groups: adjusted odds ratio [aOR], 2.45; 95% CI, 2.00-2.98; P < .001). Patient and clinical characteristics associated with transition to chronic LBP included obesity (aOR, 1.52; 95% CI, 1.28-1.80; P < .001); smoking (aOR, 1.56; 95% CI, 1.29-1.89; P < .001); severe and very severe baseline disability (aOR, 1.82; 95% CI, 1.48-2.24; P < .001 and aOR, 2.08; 95% CI, 1.60-2.68; P < .001, respectively) and diagnosed depression/anxiety (aOR, 1.66; 95% CI, 1.28-2.15; P < .001). After controlling for all other variables, patients exposed to 1, 2, or 3 nonconcordant processes of care within the first 21 days were 1.39 (95% CI, 1.21-2.32), 1.88 (95% CI, 1.53-2.32), and 2.16 (95% CI, 1.10-4.25) times more likely to develop chronic LBP compared with those with no exposure (P < .001).

Conclusions and relevance: In this cohort study, the transition rate to chronic LBP was substantial

Medications to treat disease and extend life in our patients often amass in quantities, resulting in what has been termed "polypharmacy." This imprecise label usually describes the accumulation of 5, and often more, medications. Polypharmacy in advancing age frequently results in drug therapy problems related to interactions, drug toxicity, falls with injury, delirium, and nonadherence. Polypharmacy is associated with resulting increased hospitalizations and higher costs of care for individuals and health care systems. To reduce polypharmacy, we delineate a systematic, consultative approach to identify highest-risk medications and drug-therapy problems. We address strategic reductions (deprescribing) of medications in palliative care, long-term care, and ambulatory older adults. Best practices for reducing opioids, benzodiazepines, and other high-risk medications include education about risk and agreement by patients and their families, advocates, and care teams. Addressing deprescribing should be within the framework of patients' health status as their care and goals transition from longevity to a plan of maintaining alertness, comfort, and satisfaction of quality of life. A team approach to address polypharmacy and avoidance of high-risk therapy is optimal within long-term care. Patients with terminal illnesses or those moving toward a comfort-care emphasis benefit from medication adjustments that are recognized beneficially within each patient's care goals. In caring for older adults, the acknowledgement that complicated regimens and high-risk medications requires a care plan to reduce or prevent medication-related problems and costs that are associated with polypharmacy.

Structured Abstract

Background. Opioid-related harms are increasing among older adults. Until we better understand the factors contributing to this trend, we will be unable to design and implement effective interventions to optimally manage opioid use and its potential harms among older adults. Although considerable research has been done in younger or mixed-age populations, the degree to which it is directly applicable to older adults is uncertain.

Objectives. To provide a framework for understanding how to reduce adverse outcomes of opioid use among older adults, and to describe the evidence available for different factors associated with and interventions to reduce adverse outcomes related to opioid use in this population.

Approach. With input from a diverse panel of content experts and other stakeholders, we developed a conceptual framework and evidence map to characterize empirical studies of factors associated with opioid-related outcomes and interventions to reduce opioid-related harms in older adults. We identified relevant literature among older adults (age ≥60 years) for an evidence map by systematically searching PubMed, PsycINFO, and CINAHL for studies published in English between 2000 and May 6, 2020.

Findings. We identified 5,933 citations, from which we identified 41 studies with multivariable models of factors associated with opioid-related outcomes and 16 studies of interventions in older adults. More than half (22/41) of the multivariable analysis studies evaluated factors associated with long-term opioid use (which, though not a harm per se, may increase the risk of harms if not appropriately managed). Prior or early postoperative opioid use, or greater amounts of prescribed opioids (high number of opioid prescriptions or higher opioid dose), were consistently (100% agreement) and strongly (measure of association ≥2.0) associated with long-term opioid use. Back pain, depression, concomitant use of nonsteroidal anti-inflammatory drugs (NSAIDs), and fibromyalgia also had consistent, but weaker, associations with long-term opioid use. Several factors were mostly associated (>75% agreement) with long-term opioid use, including benzodiazepine use, comorbidity scores, (generally undefined) substance misuse, tobacco use, and low income. However, studies were mostly consistent that alcohol abuse and healthcare utilization were not associated with long-term opioid use. Gender, age among older adults, Black race, dementia, rural/nonurban residence, prescription of long-acting opioids, unmarried status, and use of muscle relaxants were variably associated (<75% agreement) with long-term opioid use.

Six studies examined factors associated with opioid-related disorders, although only one study evaluated factors associated with opioid use disorder. Alcohol misuse and gender were variably associated with opioid misuse (examined by three studies each).

All other evaluations of specific pairs of associated factors and outcomes of interest were evaluated by only one or two studies each. These included analyses of factors associated with multiple opioid prescribers, mental health outcomes, physical health outcomes, all-cause hospitalization, opioid-related hospitalization, nonopioid-specific hospitalization, emergency department visits, opioid overdose, all-cause death, opioid-related death, and nonopioid-related death.

The evidence on interventions directed at older adults is sparse. Of the 16 studies of opioid-related interventions in older adults, six examined screening tools to predict opioid-related harms, but none of these tools was tested in clinical practice to assess real-world results. Two studies found that prescription drug monitoring programs are associated with less opioid use in communities. Other studied interventions include multidisciplinary pain education for patients, an educational pamphlet for patients, implementation of an opioid safety initiative, provision of patient information and pain management training for clinicians, a bundle of educational modalities for clinicians, free prescription acetaminophen, a nationally mandated tamper-resistant opioid formulation, and motivational interview training for nursing students. Few intervention studies evaluated pain or other patient-centered outcomes such as disability and functioning.

Conclusions. The evidence base that is directly applicable to older adults who are prescribed opioids or have opioid-related disorders is limited. Fundamental research is necessary to determine which factors may predict clinically important, patient-centered, opioid-related outcomes. Studies to date have identified numerous possible factors associated with long-term opioid use (whether appropriate or not), but analyses of other opioid-related outcomes in older adults are relatively sparse. Research is also needed to identify interventions to reduce opioid prescribing where harms outweigh benefits (including screening tools), reduce opioid-related harms and disorders, and treat existing misuse or opioid use disorder among older adults.

The United States is in the midst of a national opioid epidemic. Physicians are encouraged both to prevent and treat opioid-use disorders (OUDs). Although there are 3 Food and Drug Administration-approved medications to treat OUD (methadone, buprenorphine, and naltrexone) and there is ample evidence of their efficacy, they are not used as often as they should. We provide a brief review of the 3 primary medications used in the treatment of OUD. Using data from available medical literature, we synthesize existing knowledge and provide a framework for how to determine the optimal approach for outpatient management of OUD with medication-assisted treatments.