Evidence map›Paper›PMID 22738013›Full record

ArticleSubstance abuse2012

Web-based SBIRT skills training for health professional students and primary care providers.

T Bradley Tanner, Susan E Wilhelm, Karen M Rossie, Mary P Metcalf

Abstract readEvaluation Study
In one paragraph

Article in Substance abuse, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Virtual patients in undergraduate psychiatry education: a systematic review and synthesis.Advances in health sciences education : theory and practice · 2024
    Pooled it
  3. Pooled it
  4. Article
  5. Article
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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

4 authors.

T Bradley TannerClinical Tools, Inc., Chapel Hill, North Carolina 27514, USA.
Susan E Wilhelm
Karen M Rossie
Mary P Metcalf

Funding

Medical Student Education on Alcohol Abuse and DependenceR44AA016724 · NIAAA · CLINICAL TOOLS, INC. · PI TANNER, BRADLEY · 2007 to 2009
$1.0M
NIAAA NIH HHS R44 AA016724NIAAA NIH HHS R44AA016724-01A1NIDA NIH HHS HHSN271200900036CNIDA NIH HHS N44-DA-9-2214
6 · The paper itself

Abstract

The authors have developed and assessed 2 innovative, case-based, interactive training programs on substance abuse, one for health professional students on alcohol and one for primary care providers on screening, brief intervention, and referral to treatment (SBIRT). Both programs build skills in substance abuse SBIRT. Real-world effectiveness trials involving medical students (n = 10) and nursing students (n = 60) were completed; trials involving primary care providers (n = 65) are in progress during 2011. Medical students and nursing students had similarly low baseline scores on assessments that benefited from training: knowledge, confidence, and clinical performance measured via an online standardized patient case and encounter note all improved post-training. Preliminary results indicate that practicing providers improved on knowledge, attitude, and brief intervention skill performance after a similar training. Results suggest that SBIRT skills can be improved with this model for case-based interactive training programs, and thus, that this training has the potential to impact patient outcomes.

Indexed as

Clinical CompetenceInternetReferral and ConsultationSubstance Abuse DetectionSubstance-Related DisordersEducation, Medical, UndergraduateEducation, Nursing, BaccalaureateHealth PersonnelHumansPrimary Health CareProgram DevelopmentPsychotherapy, Brief

Identifiers

PMID22738013
PMCPMC3398837

What OpenQuestion holds

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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.