Are Rural Opioid Treatment Program (OTP) Facilities Associated with Lower Deaths?

References

• Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American Statistical Association, 105(490), 493–505. doi:10.1198/jasa.2009.ap08746
   Web of Science ®Google Scholar
• Amiri, S., Lutz, R., Socias, M. E., McDonell, M. G., Roll, J. M., & Amram, O. (2018). Increased distance was associated with lower daily attendance to an opioid treatment program in Spokane County Washington. Journal of Substance Abuse Treatment, 93, 26–30. doi:10.1016/j.jsat.2018.07.006
   PubMed Web of Science ®Google Scholar
• Anderson, R. N., & Rosenberg, H. M. (1988). Age standardization of death rates: Implementation of the year 2000 standard. National Vital Statistics Reports, 47(3), 1–20.
   Google Scholar
• Andrilla, C. H. A., Coulthard, C., & Larson, E. H. (2017). Barriers rural physicians face prescribing buprenorphine for opioid use disorder. The Annals of Family Medicine, 15(4), 359–362. doi:10.1370/afm.2099
   PubMed Web of Science ®Google Scholar
• Andrilla, C. H. A., Moore, T. E., & Patterson, D. G. (2019). Overcoming barriers to prescribing buprenorphine for the treatment of opioid use disorder: Recommendations from rural physicians. The Journal of Rural Health, 35(1), 113–121. doi:10.1111/jrh.12328
   PubMed Web of Science ®Google Scholar
• Beardsley, K., Wish, E. D., Fitzelle, D. B., O'Grady, K., & Arria, A. M. (2003). Distance traveled to outpatient drug treatment and client retention. Journal of Substance Abuse Treatment, 25(4), 279–285. doi:10.1016/S0740-5472(03)00188-0
   PubMed Web of Science ®Google Scholar
• Blackwell, M., Iacus, S., King, G., & Porro, G. (2009). CEM: Coarsened exact matching in stata. The Stata Journal: Promoting Communications on Statistics and Stata, 9(4), 524–546. doi:10.1177/1536867X0900900402
   Google Scholar
• Bohnert, A. S., Valenstein, M., Bair, M. J., Ganoczy, D., McCarthy, J. F., Ilgen, M. A., & Blow, F. C. (2011). Association between opioid prescribing patterns and opioid overdose-related deaths. JAMA, 305(13), 1315–1321. doi:10.1001/jama.2011.370
   PubMed Web of Science ®Google Scholar
• Browne, T., Priester, M. A., Clone, S., Iachini, A., DeHart, D., & Hock, R. (2016). Barriers and facilitators to substance use treatment in the rural south: A qualitative study. The Journal of Rural Health, 32(1), 92–101. doi:10.1111/jrh.12129
   PubMed Web of Science ®Google Scholar
• Center for Substance Abuse Treatment. (2004). Clinical guidelines for the use of buprenorphine in the treatment of opioid addiction. Retrieved from https://www.naabt.org/documents/TIP40.pdf
   Google Scholar
• Center for Substance Abuse Treatment. (2005). Medication-assisted treatment for opioid addiction in opioid treatment programs. Retrieved from https://www.ncbi.nlm.nih.gov/books/NBK64164/pdf/Bookshelf_NBK64164.pdf
   Google Scholar
• Centers for Disease Control and Prevention. (2018a). Drug overdose death data. Retrieved from https://www.cdc.gov/drugoverdose/data/statedeaths.html
   Google Scholar
• Centers for Disease Control and Prevention. (2018b). U.S. opioid prescribing rate maps. Retrieved from https://www.cdc.gov/drugoverdose/maps/rxrate-maps.html
   Google Scholar
• Connery, H. S. (2015). Medication-assisted treatment of opioid use disorder: Review of the evidence and future directions. Harvard Review of Psychiatry, 23(2), 63–75. doi:10.1097/HRP.0000000000000075
   PubMed Web of Science ®Google Scholar
• Dick, A. W., Pacula, R. L., Gordon, A. J., Sorbero, M., Burns, R. M., Leslie, D. L., & Stein, B. D. (2015). Growth in buprenorphine waivers for physicians increased potential access to opioid agonist treatment, 2002-11. Health Affairs, 34(6), 1028–1034. doi:10.1377/hlthaff.2014.1205
   PubMed Web of Science ®Google Scholar
• Food and Drug Administration. (2018). Information about medication-assisted treatment (MAT). Retrieved from https://www.fda.gov/Drugs/DrugSafety/InformationbyDrugClass
   Google Scholar
• Ford, G. S. (2018). Is faster better? Quantifying the relationship between broadband speed and economic growth. Telecommunications Policy, 42(9), 766–777. doi:10.1016/j.telpol.2018.05.006
   Web of Science ®Google Scholar
• Fullerton, C. A., Kim, M., Thomas, C. P., Lyman, D. R., Montejano, L. B., Dougherty, R. H., … Delphin-Rittmon, M. E. (2014). Medication-assisted treatment with methadone: Assessing the evidence. Psychiatric Services, 65(2), 146–157. doi:10.1176/appi.ps.201300235
   PubMed Web of Science ®Google Scholar
• Godlaski, T. M., & Clark, J. J. (2012). Implementation issues in an innovative rural substance misuser program. Substance Use & Misuse, 47, 1439–1450. doi:10.3109/10826084.2012.705689
   PubMed Web of Science ®Google Scholar
• Gowing, L. R., Farrel, M., Bornemann, R., Sullivan, L. E., & Ali, R. L. (2006). Brief report: Methadone treatment of injecting opioid users for prevention of HIV infection. Journal of General Internal Medicine, 21(2), 193–195. doi:10.1111/j.1525-1497.2005.00287.x
   PubMed Web of Science ®Google Scholar
• Hirchak, K. A., & Murphy, S. M. (2017). Assessing differences in the availability of opioid addiction therapy options: Rural versus urban and American Indian reservation versus nonreservation. The Journal of Rural Health, 33(1), 102–109. doi:10.1111/jrh.12178
   PubMed Web of Science ®Google Scholar
• Huang, B., Dignan, M., Han, D., & Johnson, O. (2009). Does distance matter? Distance to mammography facilities and stage at diagnosis of breast cancer in Kentucky. The Journal of Rural Health, 25(4), 366–371. doi:10.1111/j.1748-0361.2009.00245.x
   PubMed Web of Science ®Google Scholar
• Iacus, S. M., King, G., & Porro, G. (2011). Multivariate matching methods that are monotonic imbalance bounding. Journal of the American Statistical Association, 106(493), 345–361. doi:10.1198/jasa.2011.tm09599
   Web of Science ®Google Scholar
• Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 20(1), 1–24. doi:10.1093/pan/mpr013
   Web of Science ®Google Scholar
• Imbens, G. W., & Wooldridge, J. M. (2009). Recent developments in the econometrics of program evaluation. Journal of Economic Literature, 47(1), 5–86. doi:10.1257/jel.47.1.5
   Web of Science ®Google Scholar
• Jackson, A., & Shannon, L. (2012). Barriers to receiving substance abuse treatment among rural pregnant women in Kentucky. Maternal and Child Health Journal, 16(9), 1762–1770. doi:10.1007/s10995-011-0923-5
   PubMed Web of Science ®Google Scholar
• Jacobson, J. O. (2006). Do drug treatment facilities increase clients’ exposure to potential neighborhood-level triggers for relapse? A small-area assessment of a large, public treatment system. Journal of Urban Health, 83(2), 150–161. doi:10.1007/s11524-005-9013-6
   PubMed Web of Science ®Google Scholar
• Jones, E. B. (2018). Medication-assisted opioid treatment prescribers in federally qualified health centers: Capacity lags in rural areas. The Journal of Rural Health, 34(1), 14–22. doi:10.1111/jrh.12260
   PubMed Web of Science ®Google Scholar
• Jones, C. M., Campopiano, M., Baldwin, G., & McCance-Katz, E. (2015). National and state treatment need and capacity for opioid agonist medication-assisted treatment. American Journal of Public Health, 105(8), e55–63. doi:10.2105/AJPH.2015.302664
   PubMed Web of Science ®Google Scholar
• Kampman, K., & Jarvis, M. (2015). American society of addiction medicine (ASAM) national practice guideline for the use of medications in the treatment of addiction involving opioid use. Journal of Addiction Medicine, 9(5), 358–367.
   PubMed Web of Science ®Google Scholar
• Kao, D., Torres, L. R., Guerrero, E. G., Mauldin, R. L., & Bordnick, P. S. (2014). Spatial accessibility of drug treatment facilities and the effect on locus of control, drug use, and service use among heroin-injecting Mexican American men. International Journal of Drug Policy, 25(3), 598–607. doi:10.1016/j.drugpo.2013.12.012
   PubMed Web of Science ®Google Scholar
• Keyes, K. M., Cerda, M., Brady, J. E., Havens, J. R., & Galea, S. (2014). Understanding the rural-urban differences in nonmedical prescription opioid use and abuse in the United States. American Journal of Public Health, 104(2), e52–59. doi:10.2105/AJPH.2013.301709
   PubMed Web of Science ®Google Scholar
• Kolodny, A., Courtwright, D. T., Hwang, C. S., Kreiner, P., Eadie, J. L., Clark, T. W., & Alexander, G. C. (2015). The prescription opioid and heroin crisis: A public health approach to an epidemic of addiction. Annual Review of Public Health, 36(1), 559–574. doi:10.1146/annurev-publhealth-031914-122957
   PubMed Web of Science ®Google Scholar
• Kvamme, E., Catlin, M., Banta-Green, C., Roll, J., & Rosenblatt, R. (2013). Who prescribes buprenorphine for rural patients? The impact of specialty, location and practice type in Washington state. Journal of Substance Abuse Treatment, 44(3), 355–360. doi:10.1016/j.jsat.2012.07.006
   PubMed Web of Science ®Google Scholar
• Mack, K., Jones, C. M., & Ballesteros, M. F. (2017). Illicit drug use, illicit drug use disorders, and drug overdose deaths in metropolitan and nonmetropolitan areas – United States. Mmwr. Surveillance Summaries, 66(19), 1–12. doi:10.15585/mmwr.ss6619a1
   PubMed Web of Science ®Google Scholar
• Maxwell, J. C. (2011). The prescription drug epidemic in the United States: A perfect storm. Drug and Alcohol Review, 30(3), 264–270. doi:10.1111/j.1465-3362.2011.00291.x
   PubMed Web of Science ®Google Scholar
• Monnat, S. M., & Rigg, K. K. (2016). Examining rural/urban differences in prescription opioid misuse among US adolescents. The Journal of Rural Health, 32(2), 204–218. doi:10.1111/jrh.12141
   PubMed Web of Science ®Google Scholar
• Moody, L., Satterwhite, E., & Bickel, W. K. (2017). Substance use in rural central Appalachia: Current Status and Treatment Considerations. Journal of Rural Mental Health, 41(2), 123–135. doi:10.1037/rmh0000064
   Google Scholar
• National Institute on Drug Abuse. (2018). Principles of drug addiction treatment: A research based guide (3rd ed.). Retrieved from https://d14rmgtrwzf5a.cloudfront.net/sites/default/files/675-principles-of-drug-addiction-treatment-a-research-based-guide-third-edition.pdf
   Google Scholar
• Oser, C. B., & Harp, K. L. H. (2015). Treatment outcomes for prescription drug misusers: The negative effect of geographic discordance. Journal of Substance Abuse Treatment, 48(1), 77–84. doi:10.1016/j.jsat.2014.08.002
   PubMed Web of Science ®Google Scholar
• Paulozzi, L. J., & Xi, Y. (2008). Recent changes in drug poisoning mortality in the United States by urban-rural status and by drug type. Pharmacoepidemiology and Drug Safety, 17(10), 997–1005.
   PubMed Web of Science ®Google Scholar
• Pullen, E., & Oser, C. (2013). Barriers to substance abuse treatment in rural and urban communities: Counselor perspectives. Substance Use & Misuse, 49, 891–901. doi:10.3109/10826084.2014.891615
   Web of Science ®Google Scholar
• Rigg, K. K., Monnat, S. M., & Chavez, M. N. (2018). Opioid-related mortality in rural America: Geographic heterogeneity and intervention strategies. International Journal of Drug Policy, 57, 119–129. doi:10.1016/j.drugpo.2018.04.011
   PubMed Web of Science ®Google Scholar
• Robert Wood Johnson Foundation. (2018). Life in rural America. Retrieved from https://www.rwjf.org/content/dam/farm/reports/surveys_and_polls/2018/rwjf449263
   Google Scholar
• Rosenblatt, R. A., Andrilla, C. H. A., Catlin, M., & Larson, E. H. (2015). Geographic and specialty distribution of US physicians trained to treat opioid disorder. The Annals of Family Medicine, 13(1), 23–26. doi:10.1370/afm.1735
   PubMed Web of Science ®Google Scholar
• Rosenblum, A., Cleland, C. M., Fong, C., Kayman, D. J., Tempalski, B., & Parrino, M. (2011). Distance traveled and cross-state commuting to opioid treatment programs in the United States. Journal of Environmental and Public Health, 2011, 1–10. doi:10.1155/2011/948789
   Google Scholar
• Schwartz, R. P., Gryczynski, J., O’Grady, K. E., Sharfstein, J. M., Warren, G., Olsen, Y., … Jaffe, J. H. (2013). Opioid agonist treatments and heroin overdose deaths in Baltimore, Maryland, 1995–2009. American Journal of Public Health, 103(5), 917–922. doi:10.2105/AJPH.2012.301049
   PubMed Web of Science ®Google Scholar
• Siegler, A., Tuazon, E., O’Brien, D. B., & Paone, D. (2014). Unintentional opioid overdose deaths in New York City, 2005-2011: A place-based approach to reduce risk. International Journal of Drug Policy, 25(3), 569–574. doi:10.1016/j.drugpo.2013.10.015
   PubMed Web of Science ®Google Scholar
• Skinner, A. C., & Slifkin, R. T. (2007). Rural/urban differences in barriers to and burden of care for children with special health care needs. The Journal of Rural Health, 23(2), 150–157. doi:10.1111/j.1748-0361.2007.00082.x
   PubMed Web of Science ®Google Scholar
• Stahler, G. J., Mazzella, S., Mennis, J., Chakravorty, S., Rengert, G., & Spiga, R. (2007). The effect of individual, program, and neighborhood variables on continuity of treatment among dually diagnosed individuals. Drug and Alcohol Dependence, 87(1), 54–62.
   PubMed Web of Science ®Google Scholar
• Stein, B. D., Pacula, R. L., Gordon, A. J., Burns, R. M., Leslie, D. L., Sorbero, M. J., … Dick, A. W. (2015). Where is buprenorphine dispensed to treat opioid use disorders? The role of private offices, opioid treatment programs, and substance abuse treatment facilities in urban and rural counties. Milbank Quarterly, 93(3), 561–583. doi:10.1111/1468-0009.12137
   PubMed Web of Science ®Google Scholar
• Stephens, J. M., Brotherton, S., Dunning, S. C., Emerson, L. C., Gilbertson, D. T., Harrison, D. J., … Gitlin, M. (2013). Geographic disparities in patient travel for dialysis in the United States. The Journal of Rural Health, 29(4), 339–348. doi:10.1111/jrh.12022
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration. (2019). Methadone. Retrieved from https://www.samhsa.gov/medication-assisted-treatment/treatment/methadone
   Google Scholar
• Sullivan, L. E., Metzger, D. S., Fudala, P. J., & Fiellin, D. A. (2005). Decreasing international HIV transmission: The role of expanding access to opioid agonist therapies for injection drug users. Addiction, 100(2), 150–158. doi:10.1111/j.1360-0443.2004.00963.x
   PubMed Web of Science ®Google Scholar
• Tsui, J. I., Evans, J. L., Lum, P. J., Hahn, J. A., & Page, K. (2014). Association of opioid agonist therapy with lower incidence of hepatitis C virus infection in young adult injection drug users. JAMA Internal Medicine, 174(12), 1974–1981. doi:10.1001/jamainternmed.2014.5416
   PubMed Web of Science ®Google Scholar
• Visconti, A. J., Santos, G. M., Lemos, N. P., Burke, C., & Coffin, P. O. (2015). Opioid overdose deaths in the city and county of San Francisco: Prevalence, distribution, and disparities. Journal of Urban Health, 92(4), 758–772. doi:10.1007/s11524-015-9967-y
   PubMed Web of Science ®Google Scholar
• Volkow, N. D., Frieden, T. R., Hyde, P. S., & Cha, S. S. (2014). Medication assisted therapies – tackling the opioid epidemic. New England Journal of Medicine, 370(22), 2063–2066. doi:10.1056/NEJMp1402780
   PubMed Web of Science ®Google Scholar
• Whitacre, B., Gallardo, R., & Strover, S. (2014). Broadband’s contribution to economic growth in rural areas: Moving towards a causal relationship. Telecommunications Policy, 38(11), 1011–1023. doi:10.1016/j.telpol.2014.05.005
   Web of Science ®Google Scholar
• Zaller, N., McKenzie, M., Friedmann, P. D., Green, T. C., McGowan, S., & Rich, J. D. (2013). Initiation of buprenorphine during incarceration and retention in treatment upon release. Journal of Substance Abuse Treatment, 45(2), 222–226. doi:10.1016/j.jsat.2013.02.005
   PubMed Web of Science ®Google Scholar