Evidence map›Paper›PMID 26987797›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2017

Assessing Differences in the Availability of Opioid Addiction Therapy Options: Rural Versus Urban and American Indian Reservation Versus Nonreservation.

Katherine A Hirchak, Sean M Murphy

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Rural Clients' Continuity Into Follow-Up Substance Use Disorder Treatment: Impacts of Travel Time, Incentives, and Alerts.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
    Trial
  4. County-level vulnerability is associated with mental health and substance use treatment among rural suicide decedents: A national multi-year cross-sectional study.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  5. Article
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  7. Frame Shift: Focusing on Harm Reduction and Shared Decision Making for People Who Use Drugs Hospitalized With Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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  11. Engaging Adolescents in the Fight Against Drug Abuse and Addiction: A Concept Mapping Approach.Health education & behavior : the official publication of the Society for Public Health Education · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Katherine A HirchakDepartment of Human Development, Prevention Science Program, Washington State University, Pullman, Washington.
Sean M MurphyHealth Sciences Spokane, Washington State University, Spokane, Washington.

Funding

Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Benjamin P. Linas · 2015 to 2026
$20.7M
NIDA NIH HHS P30 DA040500
6 · The paper itself

Abstract

backgroundOpioid misuse is a large public health problem in the United States. Residents of rural areas and American Indian (AI) reservation/trust lands represent traditionally underserved populations with regard to substance-use disorder therapy. PURPOSE: Assess differences in the number of opioid agonist therapy (OAT) facilities and physicians with Drug Addiction Treatment Act (DATA) waivers for rural versus urban, and AI reservation/trust land versus non-AI reservation/trust land areas in Washington State.

methodsThe unit of analysis was the ZIP code. The dependent variables were the number of OAT facilities and DATA-waivered physicians in a region per 10,000 residents aged 18-64 in a ZIP code. A region was defined as a ZIP code and its contiguous ZIP codes. The independent variables were binary measures of whether a ZIP code was classified as rural versus urban, or AI reservation/trust land versus non-AI reservation/trust land. Zero-inflated negative binomial regressions with robust standard errors were estimated.

resultsThe number of OAT clinics in a region per 10,000 ZIP-code residents was significantly lower in rural versus urban areas (P = .002). This did not differ significantly between AI reservation/trust land and non-AI reservation/trust land areas (P = .79). DATA-waivered physicians in a region per 10,000 ZIP-code residents was not significantly different between rural and urban (P = .08), or AI reservation/trust land versus non-AI reservation/trust land areas (P = .21).

conclusionsIt appears that the potential for Washington State residents of rural and AI reservation areas to receive OAT is similar to that of residents outside of those areas; however, difficulties in accessing therapy may remain, highlighting the importance of expanding health care insurance and providing support for DATA-waivered physicians.

Indexed as

Geographic MappingAddiction MedicineAdolescentAdultFemaleHealth Services AccessibilityHumansIndians, North AmericanMaleMiddle AgedOpioid-Related DisordersPoisson DistributionRural PopulationSubstance Abuse Treatment CentersSubstance-Related DisordersUrban PopulationAmerican Indiansopioid abuseopioid agonist therapyrural treatmenttreatment access

Identifiers

PMID26987797
PMCPMC5568536

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Registered trials

None linked

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.