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- Publisher Website: 10.1016/j.jsat.2019.03.013
- Scopus: eid_2-s2.0-85063980407
- PMID: 31174714
- WOS: WOS:000472123800008
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Article: Determining spatial access to opioid use disorder treatment and emergency medical services in New Hampshire
Title | Determining spatial access to opioid use disorder treatment and emergency medical services in New Hampshire |
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Authors | |
Keywords | Emergency medical services Floating catchment area Opioid use disorder treatment services Spatial accessibility Substance use disorder |
Issue Date | 2019 |
Citation | Journal of Substance Abuse Treatment, 2019, v. 101, p. 55-66 How to Cite? |
Abstract | This research presents an analysis of spatial access to both opioid use disorder treatment facilities and emergency medical services in New Hampshire during 2015–2016, a period during which there was a steep increase in unintentional overdoses involving fentanyl. For this research, spatial access was computed using the enhanced two-step floating catchment area model combined with the Huff model to assess access across New Hampshire and gives attention to supply-side parameters that can impact spatial access. The model is designed to measure access to healthcare services for opioid use disorder patients offered at treatment centers or from buprenorphine treatment practitioners, as well as from emergency medical services across New Hampshire. A composite index of accessibility is proposed to represent overall access to these different treatment services for opioid use disorder patients. Geospatial determinants of spatial access included street network distances, driving times and distance decay relationships, while other key factors were services availability and population demand. Among the towns with the highest composite access scores, approximately 40% were metropolitan locations while 16% were rural towns. The insights from this research showed that for this period, while the opioid crisis was impacting many towns in New Hampshire, high levels of access to treatment services were not uniform across the state. When comparing the access results with data on the towns of residence for individuals who died from unintentional overdoses involving fentanyl during 2015 and 2016, estimates found that approximately 40% of the towns were not estimated to be in the highest class of access to treatment services at the time. This research provides information for local public health officials to support planning strategies to address opioid use disorder treatment access in high-risk regions. |
Persistent Identifier | http://hdl.handle.net/10722/318765 |
ISSN | 2023 Impact Factor: 3.7 2023 SCImago Journal Rankings: 1.523 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Cao, Yanjia | - |
dc.contributor.author | Stewart, Kathleen | - |
dc.contributor.author | Wish, Eric | - |
dc.contributor.author | Artigiani, Eleanor | - |
dc.contributor.author | Sorg, Marcella H. | - |
dc.date.accessioned | 2022-10-11T12:24:30Z | - |
dc.date.available | 2022-10-11T12:24:30Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Journal of Substance Abuse Treatment, 2019, v. 101, p. 55-66 | - |
dc.identifier.issn | 0740-5472 | - |
dc.identifier.uri | http://hdl.handle.net/10722/318765 | - |
dc.description.abstract | This research presents an analysis of spatial access to both opioid use disorder treatment facilities and emergency medical services in New Hampshire during 2015–2016, a period during which there was a steep increase in unintentional overdoses involving fentanyl. For this research, spatial access was computed using the enhanced two-step floating catchment area model combined with the Huff model to assess access across New Hampshire and gives attention to supply-side parameters that can impact spatial access. The model is designed to measure access to healthcare services for opioid use disorder patients offered at treatment centers or from buprenorphine treatment practitioners, as well as from emergency medical services across New Hampshire. A composite index of accessibility is proposed to represent overall access to these different treatment services for opioid use disorder patients. Geospatial determinants of spatial access included street network distances, driving times and distance decay relationships, while other key factors were services availability and population demand. Among the towns with the highest composite access scores, approximately 40% were metropolitan locations while 16% were rural towns. The insights from this research showed that for this period, while the opioid crisis was impacting many towns in New Hampshire, high levels of access to treatment services were not uniform across the state. When comparing the access results with data on the towns of residence for individuals who died from unintentional overdoses involving fentanyl during 2015 and 2016, estimates found that approximately 40% of the towns were not estimated to be in the highest class of access to treatment services at the time. This research provides information for local public health officials to support planning strategies to address opioid use disorder treatment access in high-risk regions. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Substance Abuse Treatment | - |
dc.subject | Emergency medical services | - |
dc.subject | Floating catchment area | - |
dc.subject | Opioid use disorder treatment services | - |
dc.subject | Spatial accessibility | - |
dc.subject | Substance use disorder | - |
dc.title | Determining spatial access to opioid use disorder treatment and emergency medical services in New Hampshire | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jsat.2019.03.013 | - |
dc.identifier.pmid | 31174714 | - |
dc.identifier.scopus | eid_2-s2.0-85063980407 | - |
dc.identifier.volume | 101 | - |
dc.identifier.spage | 55 | - |
dc.identifier.epage | 66 | - |
dc.identifier.eissn | 1873-6483 | - |
dc.identifier.isi | WOS:000472123800008 | - |