Articlenpj health systems2026
Differential associations between social determinants of health and the initiation of medications for opioid use disorder across care settings.
Article in npj health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Timely initiation of medications for opioid use disorder (MOUD) remains a critical gap in the health-system response to the opioid crisis. Although social determinants of health (SDoH) influence treatment access, their impact may vary across care settings owing to differences in clinical workflows, regulatory constraints, and system-level processes. In this retrospective cohort study, we linked electronic health records from an integrated midwestern U.S. health system with neighborhood-level SDoH and area deprivation data to examine time to MOUD initiation among patients diagnosed with opioid use disorder between 2020 and 2024. Using inverse-probability-of-censoring-weighted Cox proportional hazards models with care-setting-specific effects, we found that SDoH associations with MOUD initiation were concentrated in the outpatient setting and differed significantly across settings: a greater neighborhood share of racial or ethnic minority residents was associated with slower outpatient initiation, whereas inpatient initiation was driven primarily by clinical complexity and emergency-department initiation showed limited sensitivity to neighborhood context. These patterns were robust to adjustment for informative censoring and to follow-up length. By linking geospatial social context to routine EHR data, this approach enables scalable, care-setting-specific surveillance of treatment inequities and can inform resource allocation to accelerate equitable delivery of addiction treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.