Disability Benefits and Change in Prescription Opioid Dose

Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among Medicaid patients

BACKGROUND

Chronic pain has been extensively explored as a risk factor for opioid misuse, resulting in increased focus on opioid prescribing practices for individuals with such conditions. Physical disability sometimes co-occurs with chronic pain but may also represent an independent risk factor for opioid misuse. However, previous research has not disentangled whether disability contributes to risk independent of chronic pain.

METHODS

Here, we estimate the independent and joint adjusted associations between having a physical disability and co-occurring chronic pain condition at time of Medicaid enrollment on subsequent 18-month risk of incident opioid use disorder (OUD) and non-fatal, unintentional opioid overdose among non-elderly, adult Medicaid beneficiaries (2016-2019).

RESULTS

We find robust evidence that having a physical disability approximately doubles the risk of incident OUD or opioid overdose, and physical disability co-occurring with chronic pain increases the risks approximately sixfold as compared to having neither chronic pain nor disability. In absolute numbers, those with neither a physical disability nor chronic pain condition have a 1.8% adjusted risk of incident OUD over 18 months of follow-up, those with physical disability alone have an 2.9% incident risk, those with chronic pain alone have a 3.6% incident risk, and those with co-occurring physical disability and chronic pain have a 11.1% incident risk.

CONCLUSIONS

These findings suggest that those with a physical disability should receive increased attention from the medical and healthcare communities to reduce their risk of opioid misuse and attendant negative outcomes.

Opioid Use Among Social Security Disability Insurance Applicants, 2013–2018

Opioid use is common among Social Security Disability Insurance (SSDI) beneficiaries who account for a disproportionate share of opioid-related hospitalizations and mortality. However, little is known about the prevalence of opioid use prior to SSDI enrollment. Understanding when opioid use is established and how it correlates with individual characteristics and community prescribing practices would inform policy approaches to reducing opioid-related harms among SSDI beneficiaries. We estimated the prevalence of opioid use among SSDI applicants by applying a natural language processing algorithm to SSDI application data. We find the prevalence of opioid use among SSDI applicants declined from 33% in 2013 to 24% in 2018. In contrast, the share of applicants with musculoskeletal impairments, which are commonly associated with pain, was unchanged. The share of applications reporting opioid use declined across both sexes, all age groups and education levels, and all regions. There was substantial variation, however, in the magnitude of decline by geography, with the smallest declines in parts of the Midwest and Southeastern United States. SSDI application rates and applications reporting opioid use were more likely to come from communities with higher opioid prescribing rates. Our estimates suggest most SSDI beneficiaries began opioid use prior to entering the SSDI program.

The effect of awarding disability benefits on opioid consumption

Strong empirical evidence points towards a significantly higher prevalence of opioid consumption among people receiving disability benefits (DB) than in the general population of the United States. However, no previous research established a causal relationship between the decision to award DB to applicants and their subsequent opioid use. We aim to contribute towards filling this gap. There are channels through which awarding DB may both increase and depress opioid consumption, and thus, ex ante, the sign of a potential causal relationship is ambiguous. To correct for the treatment endogeneity, since an individual's age at the time of the decision on an application impacts discontinuously at certain age cutoffs the award decision, we employ a fuzzy Regression Discontinuity model with three age cutoffs used for identification. We find that awarding DB increases the likelihood of using opioids by about 27-30 percentage points. This suggests that the positive association between DB receipt and opioid consumption is likely to be causal.

Concurrent Opioid and Benzodiazepine Utilization Patterns and Predictors Among Community-Dwelling Adults in the United States

OBJECTIVE

Using benzodiazepines and opioids together substantially increases the risk of fatal overdose. Yet, concurrent benzodiazepine and opioid prescribing rates continue to increase amid the opioid overdose epidemic. Therefore, this study sought to identify patterns and predictors associated with self-reported concurrent benzodiazepine and opioid use among community-dwelling adults.

METHODS

This retrospective, cross-sectional study used Medical Expenditure Panel Survey data from 2011, 2013, and 2015. The study population included adults (age ≥18) who did not die during the calendar year. The dependent variable was concurrent benzodiazepine and opioid use, which was identified with Multum Lexicon therapeutic class codes. Multivariable logistic regression analysis was conducted to examine the association of various individual-level factors with concurrent benzodiazepine and opioid use.

RESULTS

The final study sample consisted of 44,808 individuals (unweighted), of which 680 (1.6%) (weighted frequency=7,806,636) reported concurrent benzodiazepine and opioid use. Several individual-level factors were significantly associated with reporting use of this combination. For example, individuals with anxiety were more likely to report using both benzodiazepines and opioids (odds ratio [OR]=9.61, 95% confidence interval [CI]=7.37-12.5), and those with extreme pain levels were more likely to report concurrent use (OR=5.11, 95% CI=2.98-8.78). Other predictors of reporting concurrent benzodiazepine and opioid use were depression, arthritis, region, race-ethnicity, insurance, activities disability, general and mental health status, and smoking status.

CONCLUSIONS

Several individual-level factors were associated with reporting concurrent benzodiazepine and opioid use. Therefore, enhanced educational interventions targeting both clinicians and community-dwelling adults are warranted to minimize use of this high-risk medication combination.

The Relationship between Cognitive and Emotional Factors and Healthcare and Medication Use in People Experiencing Pain: A Systematic Review

Pain conditions are among the leading causes of global disability, impacting on global healthcare utilization (HCU). Health seeking behavior might be influenced by cognitive and emotional factors (CEF), which can be tackled by specific therapies. The purpose of this study was to systematically review the evidence concerning associations between CEF and HCU in people experiencing pain. Three databases were consulted: PubMed, Web of Science and EconLit. Risk of bias was assessed using the Downs and Black Checklist (modified). A total of 90 publications (total sample n = 59,719) was included after double-blind screening. In people experiencing pain, positive associations between general anxiety symptoms, depressive symptoms and catastrophizing and pain medication use were found. Additionally, there appears to be a relationship between general anxiety and depressive symptoms and opioid use. Symptom-related anxiety and psychological distress were found to be positively related with consulting behavior. Last, a positive association between use of complementary and alternative medicine and level of perceived symptom control was confirmed in people with pain. For other relationships no evidence or inconsistent findings were found, or they were insufficiently studied to draw firm conclusions, indicating that more research on this topic is needed.