Lyndsey A Rolheiser1, Jack Cordes1, S V Subramanian1. 1. 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.
Abstract
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.
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.
Authors: Keiki Hinami; Michael J Ray; Kruti Doshi; Maria Torres; Steven Aks; John J Shannon; William E Trick Journal: J Gen Intern Med Date: 2019-08-16 Impact factor: 5.128
Authors: Patrick Tighe; François Modave; MaryBeth Horodyski; Matthew Marsik; G Lipori; Roger Fillingim; Hui Hu; Jennifer Hagen Journal: Pain Med Date: 2020-08-01 Impact factor: 3.750
Authors: Rebecca Arden Harris; Henry R Kranzler; Kyong-Mi Chang; Chyke A Doubeni; Robert Gross Journal: Drug Alcohol Depend Date: 2019-11-02 Impact factor: 4.852
Authors: Andrew C Miller; Abbas M Khan; Alberto A Castro Bigalli; Kerry A Sewell; Alexandra R King; Shadi Ghadermarzi; Yuxuan Mao; Shahriar Zehtabchi Journal: J Pain Res Date: 2019-02-26 Impact factor: 3.133
Authors: Pearl C Kim; Ji Won Yoo; Chris R Cochran; Seong-Min Park; Sungyoun Chun; Yong-Jae Lee; Jay J Shen Journal: Medicine (Baltimore) Date: 2019-11 Impact factor: 1.817
Authors: Michael Ripperger; Sarah C Lotspeich; Drew Wilimitis; Carrie E Fry; Allison Roberts; Matthew Lenert; Charlotte Cherry; Sanura Latham; Katelyn Robinson; Qingxia Chen; Melissa L McPheeters; Ben Tyndall; Colin G Walsh Journal: J Am Med Inform Assoc Date: 2021-12-28 Impact factor: 7.942
Authors: Michael T Phan; Courtney Wong; Daniel M Tomaszewski; Zeev N Kain; Brooke Jenkins; Candice Donaldson; Michelle Fortier; Sun Yang Journal: J Contemp Pharm Prac Date: 2021-03-03