Opioid Prescribing Rates by Congressional Districts, United States, 2016

Bibliographic Data

ID11028310
AuthorsLyndsey Rolheiser (0000-0002-9120-4396, Harvard University), Lyndsey A Rolheiser (Lyndsey A. Rolheiser and S. V. Subramanian are with the Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health, Boston, MA. Jack Cordes is with the Department of Epidemiology, Harvard T. H. Chan School of Public Health.), Jack Cordes (0000-0003-2706-615X, Lyndsey A. Rolheiser and S. V. Subramanian are with the Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health, Boston, MA. Jack Cordes is with the Department of Epidemiology, Harvard T. H. Chan School of Public Health.), V Subramanian (0000-0003-2365-4165, Lyndsey A. Rolheiser and S. V. Subramanian are with the Harvard Center for Population and Development Studies, Harvard T. H. Chan School of Public Health, Boston, MA. Jack Cordes is with the Department of Epidemiology, Harvard T. H. Chan School of Public Health.), S V Subramanian (0009-0009-8336-0274)
Year2018
Volume108
Issue9
Pages1214-1219
Publication date2018-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2018.304532
PMID30024809
OpenAlexW2884591383
LanguageEN
Citations received4
References cited11

Objectives. To determine the extent to which opioid prescribing rates vary across US congressional districts. Methods. In an observational cross-sectional framework using secondary data, we constructed 2016 congressional district–level opioid prescribing rate estimates using a population-weighted methodology. Results. High prescribing rate districts were concentrated in the South, Appalachia, and the rural West. Low-rate districts were concentrated in urban centers. Conclusions. In the midst of an opioid overdose crisis, we identified congressional districts of particular concern for opioid prescription saturation. Public Health Implications. The congressional district geography represents a policy-relevant boundary and a politically important level at which to monitor the crisis and determine program funding. Furthermore, in the context of the opioid crisis, knowing how congressional districts rank across the country and in states is useful in the creation of policies targeted to areas in need

Appalachia · Context (archaeology) · Environmental health · Geography · Opioid · Opioid overdose · Political science · Population · Public health · Healthcare Policy and Management · Medicine · Opioid Use Disorder Treatment · Primary Care and Health Outcomes

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