This paper concerns public health crises today—the problem of opioid prescription access and related abuse. Inspired by Case and Deaton’s seminal work on increasing mortality among white Americans with lower education, this paper explores the relationship between opioid prescribing and local economic factors.
We examined the association between county-level socioeconomic factors (median household income, unemployment rate, Gini index) and opioid prescribing.
We used the complete 2014 Medicare enrollment and part D drug prescription data from the Center for Medicare and Medicaid Services to study opioid prescriptions of disabled Medicare beneficiaries without record of cancer treatment, palliative care, or end-of-life care.
We summarized the demographic and geographic variation, and investigated how the local economic environment, measured by county median household income, unemployment rate, Gini index, and urban-rural classification correlated with various measures of individual opioid prescriptions. Measures included number of filled opioid prescriptions, total days’ supply, average morphine milligram equivalent (MME)/day, and annual total MME dosage. To assess the robustness of the results, we controlled for individual and other county characteristics, used multiple estimation methods including linear least squares, logistic regression, and Tobit regression.
Lower county median household income, higher unemployment rates, and less income inequality were consistently associated with more and higher MME opioid prescriptions among disabled Medicare beneficiaries. Geographically, we found that the urban-rural divide was not gradual and that beneficiaries in large central metro counties were less likely to have an opioid prescription than those living in other areas.
*Health Care Cost Institute, Washington, DC
†Nanjing Audit University, Nanjing, China
‡Stanford University, Stanford, CA
§Centers for Disease Control and Prevention, Atlanta, GA
The opinions and conclusions are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention (CDC), Health Care Cost Institute, and Stanford University.
The authors declare no conflict of interest.
Reprints: Ning Neil Yu, PhD, Rural Education Action Program (REAP), Freeman Spogli Institute for International Studies (FSI), Stanford University, 616 Serra Street, Stanford, CA 94305-6055. E-mail: firstname.lastname@example.org.