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dc.contributor.authorStopka, Thomas J.
dc.contributor.authorJacque, Erin
dc.contributor.authorKelso, Patsy
dc.contributor.authorGuhn-Knight, Haley
dc.contributor.authorNolte, Kerry
dc.contributor.authorHoskinson, Randall Jr.
dc.contributor.authorJones, Amanda
dc.contributor.authorHarding, Joseph
dc.contributor.authorDrew, Aurora
dc.contributor.authorVanDonsel, Anne
dc.contributor.authorFriedmann, Peter D.
dc.date2022-08-11T08:09:54.000
dc.date.accessioned2022-08-23T16:48:31Z
dc.date.available2022-08-23T16:48:31Z
dc.date.issued2019-11-01
dc.date.submitted2019-12-12
dc.identifier.citation<p>Prev Med. 2019 Nov;128:105740. doi: 10.1016/j.ypmed.2019.05.028. Epub 2019 May 31. <a href="https://doi.org/10.1016/j.ypmed.2019.05.028">Link to article on publisher's site</a></p>
dc.identifier.issn0091-7435 (Linking)
dc.identifier.doi10.1016/j.ypmed.2019.05.028
dc.identifier.pmid31158400
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41288
dc.description.abstractThe opioid crisis presents substantial challenges to public health in New England's rural states, where access to pharmacotherapy for opioid use disorder (OUD), harm reduction, HIV and hepatitis C virus (HCV) services vary widely. We present an approach to characterizing the epidemiology, policy and resource environment for OUD and its consequences, with a focus on eleven rural counties in Massachusetts, New Hampshire and Vermont between 2014 and 2018. We developed health policy summaries and logic models to facilitate comparison of opioid epidemic-related polices across the three states that could influence the risk environment and access to services. We assessed sociodemographic factors, rates of overdose and infectious complications tied to OUD, and drive-time access to prevention and treatment resources. We developed GIS maps and conducted spatial analyses to assess the opioid crisis landscape. Through collaborative research, we assessed the potential impact of available resources to address the opioid crisis in rural New England. Vermont's comprehensive set of policies and practices for drug treatment and harm reduction appeared to be associated with the lowest fatal overdose rates. Franklin County, Massachusetts had good access to naloxone, drug treatment and SSPs, but relatively high overdose and HIV rates. New Hampshire had high proportions of uninsured community members, the highest overdose rates, no HCV surveillance data, and no local access to SSPs. This combination of factors appeared to place PWID in rural New Hampshire at elevated risk. Study results facilitated the development of vulnerability indicators, identification of locales for subsequent data collection, and public health interventions.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=31158400&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rights© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHealth policy
dc.subjectNew England
dc.subjectOpioid epidemic
dc.subjectRural
dc.subjectSpatial epidemiology
dc.subjectCommunity Health and Preventive Medicine
dc.subjectEpidemiology
dc.subjectHealth Policy
dc.subjectHealth Services Administration
dc.subjectHealth Services Research
dc.subjectPharmacy Administration, Policy and Regulation
dc.subjectPreventive Medicine
dc.subjectSubstance Abuse and Addiction
dc.titleThe opioid epidemic in rural northern New England: An approach to epidemiologic, policy, and legal surveillance
dc.typeJournal Article
dc.source.journaltitlePreventive medicine
dc.source.volume128
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=5093&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/4074
dc.identifier.contextkey15986396
refterms.dateFOA2022-08-23T16:48:31Z
html.description.abstract<p>The opioid crisis presents substantial challenges to public health in New England's rural states, where access to pharmacotherapy for opioid use disorder (OUD), harm reduction, HIV and hepatitis C virus (HCV) services vary widely. We present an approach to characterizing the epidemiology, policy and resource environment for OUD and its consequences, with a focus on eleven rural counties in Massachusetts, New Hampshire and Vermont between 2014 and 2018. We developed health policy summaries and logic models to facilitate comparison of opioid epidemic-related polices across the three states that could influence the risk environment and access to services. We assessed sociodemographic factors, rates of overdose and infectious complications tied to OUD, and drive-time access to prevention and treatment resources. We developed GIS maps and conducted spatial analyses to assess the opioid crisis landscape. Through collaborative research, we assessed the potential impact of available resources to address the opioid crisis in rural New England. Vermont's comprehensive set of policies and practices for drug treatment and harm reduction appeared to be associated with the lowest fatal overdose rates. Franklin County, Massachusetts had good access to naloxone, drug treatment and SSPs, but relatively high overdose and HIV rates. New Hampshire had high proportions of uninsured community members, the highest overdose rates, no HCV surveillance data, and no local access to SSPs. This combination of factors appeared to place PWID in rural New Hampshire at elevated risk. Study results facilitated the development of vulnerability indicators, identification of locales for subsequent data collection, and public health interventions.</p>
dc.identifier.submissionpathoapubs/4074
dc.contributor.departmentDepartment of Population and Quantitative Health Sciences
dc.source.pages105740


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© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).
Except where otherwise noted, this item's license is described as © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).