Evidence map›Paper›PMID 26269130›Full record

Observational studyJournal of general internal medicine2016

Screening and Follow-Up Monitoring for Substance Use in Primary Care: An Exploration of Rural-Urban Variations.

Ya-Fen Chan, Shou-En Lu, Bill Howe, Hendrik Tieben, Theresa Hoeft, Jürgen Unützer

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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  13. Differences in Receipt of Alcohol-Related Care Across Rurality Among VA Patients Living With HIV With Unhealthy Alcohol Use.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2019
    Article
  14. Community pharmacies as access points for addiction treatment.Research in social & administrative pharmacy : RSAP · 2019
    Article
  15. Article
  16. Presenting Pattern and Psychiatric Comorbidities in Rural versus Urban Substance Dependent Patients: A Hospital-Based Cross-Sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  17. Article
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

6 authors.

Ya-Fen ChanDepartment of Psychiatry & Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, USA. yfcuw@uw.edu.
Shou-En LuDepartment of Biostatistics, School of Public Health, Rutgers University, Newark, NJ, USA.
Bill HoweDepartment of Computer Science & Engineering, University of Washington, Seattle, WA, USA.
Hendrik TiebenSchool of Architecture, Chinese University of Hong Kong, Shatin, NT, Hong Kong.
Theresa HoeftDepartment of Psychiatry & Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, USA.
Jürgen UnützerDepartment of Psychiatry & Behavioral Sciences, School of Medicine, University of Washington, Seattle, WA, USA.

Funding

Training Geriatric Mental Health Services ResearchersT32MH073553 · NIMH · DARTMOUTH-HITCHCOCK CLINIC · PI BRUCE, MARTHA L · 2005 to 2019
$6.4M
NIMH NIH HHS MH073553NIMH NIH HHS T32 MH073553
6 · The paper itself

Abstract

backgroundRates of substance use in rural areas are close to those of urban areas. While recent efforts have emphasized integrated care as a promising model for addressing workforce shortages in providing behavioral health services to those living in medically underserved regions, little is known on how substance use problems are addressed in rural primary care settings.

objectiveTo examine rural-urban variations in screening and monitoring primary care- based patients for substance use problems in a state-wide mental health integration program.

designThis was an observational study using patient registry. SUBJECTS: The study included adult enrollees (n = 15,843) with a mental disorder from 133 participating community health clinics. MAIN OUTCOMES: We measured whether a standardized substance use instrument was used to screen patients at treatment entry and to monitor symptoms at follow-up visits. KEY

resultsWhile on average 73.6 % of patients were screened for substance use, follow-up on substance use problems after initial screening was low (41.4 %); clinics in small/isolated rural settings appeared to be the lowest (13.6 %). Patients who were treated for a mental disorder or substance abuse in the past and who showed greater psychiatric complexities were more likely to receive a screening, whereas patients of small, isolated rural clinics and those traveling longer distances to the care facility were least likely to receive follow-up monitoring for their substance use problems.

conclusionsDespite the prevalent substance misuse among patients with mental disorders, opportunities to screen this high-risk population for substance use and provide a timely follow-up for those identified as at risk remained overlooked in both rural and urban areas. Rural residents continue to bear a disproportionate burden of substance use problems, with rural-urban disparities found to be most salient in providing the continuum of services for patients with substance use problems in primary care.

Indexed as

AdolescentAdultCommunity Mental Health ServicesDiagnosis, Dual (Psychiatry)FemaleFollow-Up StudiesHealth Services AccessibilityHumansMaleMass ScreeningMiddle AgedPrimary Health CareRural Health ServicesSubstance Abuse DetectionSubstance-Related DisordersUrban Health Servicesprimary health carerural–urbansubstance screening and monitoring

Identifiers

PMID26269130
PMCPMC4720630

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.