Employment Outcomes for Social Security Disability Insurance Applicants Who Use Opioids
Bibliographic Data
| ID | 12364950 |
|---|---|
| Authors | Denise Hoffman (0000-0002-6677-1698, Mathematica Policy Research, Washington, DC, USA, corresponding author), April Yanyuan Wu (Mathematica Policy Research, Chicago, IL, USA), Paul O’leary (0000-0002-6084-3734, U.S. Social Security Administration, Washington, DC, USA) |
| Year | 2024 |
| Volume | 36 |
| Issue | 3 |
| Pages | 154-164 |
| Publication date | 2024-12-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Disability Policy Studies (JOURNAL) |
| Journal identifiers | ISSN: 1044-2073 • E-ISSN: 1538-4802 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/10442073241304108 |
| OpenAlex | W4405850930 |
| Language | EN |
| References cited | 20 |
In this article, we examine the relationship between self-reported opioid use and employment outcomes among Social Security Disability Insurance (SSDI) applicants who applied to SSDI in 2009. We use a machine learning method to identify opioids recorded in text fields on SSDI applications. Studying outcomes for 4 years after the U.S. Social Security Administration (SSA) determined the application outcome, we find a negative and statistically significant association between self-reported opioid use at application and post-determination employment-related outcomes. Notably, opioid use at the time of application was associated with a 3% point decline in the likelihood of employment in the first 4 years after determination and represents a 7.5% decline relative to the mean employment rate for the period. Results from a reduced-form model estimating the relationship between local opioid prescribing patterns and employment outcomes suggest that a 10% increase in the local opioid prescribing rate is associated with employment that is, at most, 0.3% points lower, which is similar to the documented association among the broader U.S. population. However, the potential implications for SSDI applicants are particularly notable because opioid use is about 50% higher among SSDI applicants
Actuarial science · Business · Demographic economics · Disability insurance · Economics · Environmental health · Opioid · Population · Social security · Demography · Employment and Welfare Studies · Healthcare Policy and Management · Medicine · Opioid Use Disorder Treatment · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |