This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow: https://news.vt.edu/articles/2026/02/conn-clinic-study.htmland if you wish to take away this text from our web site please contact us [ad_1] A new study, on which Virginia Tech was a collaborator, offers the clearest image up to now of how profoundly transportation mode shapes entry to methadone remedy for opioid use dysfunction in Connecticut. The analysis, co-authored by College of Natural Resources and Environment Assistant Professor Junghwan Kim, exhibits that counting on public transit as a substitute of a private car can multiply journey time by an element of 4 or 5, creating a serious barrier for sufferers who want every day, in‑individual remedy. An professional in geospatial modelling and the director of Smart Cities for Good, Kim joined seven scientists and medical docs from Yale University, and a researcher from Western University in Canada, to check journey instances from all 2,702 census block teams within the state. His superior geospatial evaluation and accessibility modelling builds on an earlier research that seemed on the precise time required to succeed in a remedy heart, in comparison with the perceived time that not often calculated the burden of journey. The outcomes of the research, published in JAMA Network Open, provided a uncommon, complete car-versus-transit perspective. The distinction was dramatic: the median journey to the closest opioid remedy program (OTP) was simply 11 minutes by automotive, however almost 42 minutes by public transit. Researchers additionally discovered that 53 p.c of block teams had both no transit path to an OTP or required greater than an hour of journey, successfully chopping off entry for residents and not using a car. “This was the second study where I collaborated with the Yale doctors and researchers, so it’s rewarding to know my work will be helping people who might get overlooked,” Kim stated. “Importantly, I additionally introduced these analysis insights again into my classroom, sharing them with my [geographic information system] college students to display how geospatial applied sciences might be utilized to resolve real-world issues." This comparative framework is the research’s central contribution. The new evaluation exhibits that automotive‑based mostly accessibility dramatically overestimates real-world entry for a lot of sufferers. That hole is very extensive in rural areas, the place public transit journey instances averaged almost 57 minutes and 89 p.c of communities lacked a workable route, in contrast with a 19-minute median drive time. Kim, a geospatial information scientist in Virginia Tech’s Department of Geography, constructed the high-quality‑grained spatial and transit modeling that made this comparability doable. The staff divided the state right into a grid, with every cell being slightly below a 3rd of a sq. mile. Computations decided journey instances for each automotive and transit for every cell earlier than aggregating them to dam teams. This high-resolution method offered a extra reasonable image of transportation burdens than conventional county-level or city-level analyses. The authors conclude that enhancing methadone entry would require coverage adjustments knowledgeable by these transportation inequalities, together with expanded transit choices, cell methadone models, and diminished necessities for every day in‑individual visits. The research’s comparative, mode‑particular method—strengthened by Kim’s geospatial evaluation—affords policymakers a clearer map of the place interventions are most urgently wanted. Original research: DOI: 10.1001/jamanetworkopen.2025.57361 [ad_2] This web page was created programmatically, to learn the article in its authentic location you may go to the hyperlink bellow: https://news.vt.edu/articles/2026/02/conn-clinic-study.htmland if you wish to take away this text from our web site please contact us