Cited by 4Substance Abuse Treatment and OutcomesOpioid Use Disorder TreatmentMental Health Treatment and Access

Referral to Treatment After Positive Screens for Unhealthy Drug Use in an Outpatient Veterans Administration Setting

Open access
Hodgkin, Dominic, Gao, Wenwu, Larson, Mary Jo, Drebing, Charles E., Merrick, Elizabeth L., Pugatch, Marianne, Horgan, Constance M., Zolotusky, Galina +2 more·2020·Journal of Addiction Medicine

Abstract

Objectives: To measure the rates and predictors of clinician recommendation for follow-up after a positive screen for unhealthy drug use, in a context of mandatory routine screening. To measure response to clinician recommendations and identification of new drug use diagnoses. Methods: Data are from a Veterans Health Administration (VHA) medical center that introduced mandatory routine screening for unhealthy drug use in outpatient primary care and mental health settings, using a validated single question. This study analyzed VHA electronic health records data for patients who screened positive for unhealthy drug use (n = 570) and estimated logistic regression models to identify the predictors of receiving a recommendation for any follow-up and for specialty substance use disorder (SUD) treatment. Bivariate tests were used for other analyses. Results: Among patients who screened positive for unhealthy drug use, 66% received no recommendation to return to primary care or another setting from the screening clinician. Further, among the 23% of patients who received a recommendation to visit specialty SUD treatment, only 25% completed the visit within 60 days. Six percent of all positive screens both received a referral to specialty SUD treatment and acted upon it. Conclusions: In the context of mandatory drug use screening using a single item, rates of clinician action and patient receipt of care appeared low. Improved follow-up will require health systems to provide more supports for clinicians and patients at each of the stages from positive screen to attending the follow-up appointment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/adm.0000000000000567

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [17]Pasta DJ, Cisternas MG, & Williamson CL Estimating standard errors of treatment effects for probit models and for linear models of log-transformed variables using PROC IML. Proceedings of the 65th Annual Western Users of SAS Software Regional Users Group Conference 1998; b23.
  2. [31]Wooldridge JM. Econometric analysis of cross section and panel data. MIT Press, 2010.

Cited by

Authors
Hodgkin, D., Gao, W., Larson, M. J., Drebing, C. E., Merrick, E. L., Pugatch, M., Horgan, C. M., Zolotusky, G., Petry, N. M., & Saitz, R.
Affiliations
  • Boston University (US)
  • National Museum of the Philippines (PH)
Corresponding author
Hodgkin, Dominic
Venue
Journal of Addiction Medicine
Published
2019-09-17
Volume
14
Issue
3
Pages
236-243
ISSN
  • 1932-0620 (ISSN-L)
  • 1935-3227
OpenAlex
W2978535358
Cited by
4
References
27
Citations by year
2026: 1 · 2024: 2 · 2023: 1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Journal of Addiction Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Department of Veterans Affairs (I50 RX001873)
  • National Institute on Drug Abuse (R01DA033402, R21DA032039, P30DA035772)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
substance use screening, substance use disorders, referral to treatment, follow-up care, mandatory screening, Veterans Affairs health care, outpatient primary care, mental health services, clinician recommendations, treatment completion, veterans
MeSH terms
Veterans Health Services, Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Outpatients, Referral and Consultation, United States, Veterans, Substance-Related Disorders, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review